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6912 lines
189 KiB
WebVTT
Executable File
6912 lines
189 KiB
WebVTT
Executable File
WEBVTT
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09:06.000 --> 09:09.880
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And what that basically does is that it londers the
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09:09.880 --> 09:14.120
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transfection as an idea and as a methodology
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09:14.120 --> 09:18.000
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through this false pandemic and comes out on the other end
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09:18.000 --> 09:20.600
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as a rushed but perfect outcome.
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09:21.480 --> 09:26.480
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And it is frustrating to me now in some ways
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09:26.840 --> 09:30.240
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how many people are picking up on this idea so late.
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09:30.240 --> 09:33.160
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When I think the first time that I presented the idea
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09:33.160 --> 09:34.880
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that they were gonna do a bait and switch
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09:34.880 --> 09:37.560
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with the spike protein or the LNP
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09:37.560 --> 09:42.560
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or the RNA being impure already in the beginning of 2021
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09:43.240 --> 09:46.440
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when these ideas were first presented as problems
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09:46.440 --> 09:49.360
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especially the toxicity of the spike.
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09:49.360 --> 09:53.360
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It hit me almost immediately that there were too many people
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in this consensus that we're sure that the spike protein
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09:57.800 --> 09:59.960
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of the virus was dangerous.
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09:59.960 --> 10:02.880
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The spike protein of the virus was manipulated.
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10:03.880 --> 10:06.280
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But then when they used the spike protein in the shot
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10:06.280 --> 10:08.920
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most of these people didn't have the immediate
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10:08.920 --> 10:11.520
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well what the hell are they doing that for.
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10:11.520 --> 10:15.280
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And in fact for a very long time many of these people
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10:15.280 --> 10:19.000
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continue to focus on the spike of the virus
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rather than the spike of the transfections
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10:21.080 --> 10:23.960
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and you can look back and you can see them all do it.
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10:23.960 --> 10:26.360
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So they can go on their streams
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10:26.360 --> 10:27.960
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and they can go on their podcasts now
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10:27.960 --> 10:29.360
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and say that that's not what happened
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but the problem is is that there's a whole internet
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full of videos of these morons
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and the exact things that they said.
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10:38.600 --> 10:40.760
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And that's the part that's kind of getting me angry
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10:40.760 --> 10:43.160
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and why those words sometimes come out.
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10:43.160 --> 10:46.640
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I have to really center myself to think about
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how despicable it is that these people
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have absolutely spectacularly committed
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to keeping some of these lies intact.
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For their comfort, for their fame, for fortune, it's awful.
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11:02.240 --> 11:04.680
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But there is no question that that's what's going on right now.
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11:04.680 --> 11:08.040
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The novel virus narrative is under preservation
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by these people and a virus narrative
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about a bio-weapon being released
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is preserving the narrative.
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A discussion of gain of function is preserving the narrative.
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And a complete absence of the discussion
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of where the excess deaths actually came from
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is a complete preservation of the narrative.
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11:31.640 --> 11:34.400
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And almost every one of these people is guilty of that.
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11:36.600 --> 11:38.680
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And that's what I'm trying to sort out with this map.
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I've got a lot of people on here,
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I don't even clue down here, like John Cullen
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and people that we just can on the outset discard.
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You know, I'm not gonna put Adam Gardner on here
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or something like that.
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These people that were posers already in 2020,
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obviously like the Berenson guy.
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Why would I even put him on this map?
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He revealed himself has extremely manufactured construct already.
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They revealed him as that in the beginning of the pandemic
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by censoring him off Twitter
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and then letting him sue Twitter.
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I mean, this was all as much publicity
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as anyone could hope to have.
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12:17.760 --> 12:19.840
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Every one of these examples of censorship
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that anybody ever heard of,
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like Robert Malone's censorship ended up in what?
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Two more apps being populated,
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telegram and GAB
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12:32.080 --> 12:33.080
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and a whole bunch of people,
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including Brett Weinstein going over to those platforms
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at the same time that Robert Malone did
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under the pretense that censorship isn't cool.
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This was all behavior designed to drive the crowds around,
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to move the sheep into different paddocks
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and to see who would follow who were.
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12:56.080 --> 12:58.080
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And this game has been going on
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from the very, very beginning on social media
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to try and sort out who we were
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and who the problems were.
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And that's how they found me so early.
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That's why so many people have shown up wherever I am
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or go in places.
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Serendipitously, everybody wanted to go
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to the CHD conference all of a sudden
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once they found out Jay was going.
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So many people didn't even register for the conference,
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but suddenly when they found out Jay was going,
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they had to be there.
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It was kind of pathetic, actually.
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In retrospect, I should have seen it very clearly.
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So I'm still fighting that, but, you know, whatever.
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We're going to work on that a little less often now
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and adding people to that regularly is still,
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I think, really important.
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But remember, the idea is,
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is they're trying to make you feel like you're processing,
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you're experiencing this,
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and it's going by so fast
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and there are so many smart people involved
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that you don't need to concern yourself with it.
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I mean, why would you get all up in arms
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if Steve Kirsch and Robert Malone
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are working on your behalf, right?
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So the last couple of days we've been focused
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on these two companies, Epivax and Absolera,
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and we got there because of Peter Collis
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and a recommendation by no one other than Robert Malone.
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Robert Malone has been associated directly
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and indirectly with many of these companies
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based in Canada in Vancouver.
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And many of these companies seem to be entangled
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in a AI machine learning type software stack
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that is designed to bypass
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or to reinvigorate the antibody patent paradox.
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Now, it is not by myself that I did this.
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It's a lot of work.
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Most of the work done by Mark Koolack,
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who found a lot of these companies,
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did a lot of leg work on archiving all of the data from them
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and all of the information about them
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so that we can compare them across pages.
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And so I think we've discovered something here
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that's worth talking about because of the long-standing relationship
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between Moderna, Absolular, and Epivax.
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All of these people, especially, I think, Annie DeGroote,
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they're all interesting people that are probably underrated.
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Robert Malone, also, in his connections with these people,
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I think it's a pretty spot-on observation
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to think that George Webb, Boston Consulting,
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Pfizer, and Robert Malone are all kind of one show
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with Veritas and making us think that this kind of thing.
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And of course, the future is personalized medicine.
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And so we're being distracted actively by these people.
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We're being made to ask the wrong questions.
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That's their main job.
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And it's taken me a long time to figure out,
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or think I'm close to figuring out what it is their job is.
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I think because it's so flexible,
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their job is to make you ask the wrong question
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that if you won't ask that question,
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they can try and make you ask that one
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or put another shiny object in front of you for you to chase.
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And that's why they keep coming back.
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That's why you can't ever get rid of them,
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because if the last story didn't catch your attention,
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and it wasn't getting enough clicks,
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well, I got another one for you now.
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And that's how you can almost see
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how Robert Malone's evolution has occurred.
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You know, little bits and pieces here,
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and he only gives you as much as you need to keep you moving along.
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And a lot of these people play that game.
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And the reason why they're playing that game
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is because there is a time point we're at
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where we basically need the my kids age,
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the teenagers, we need to get them on board
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with the idea that there is a pandemic potential everywhere,
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and therefore, in order to protect you from it,
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we need vaccines, we need digital medical records,
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and we need to keep track of who's vaccinated.
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Otherwise, the potential for pandemics is just too great.
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And the real hidden message here
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is that they want to collect as much medical data
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and combine it with genotypic and phenotypic data
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as they possibly can.
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So that someday, in the near or far future,
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they can use AI to crack the human genome.
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That's the joke.
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They tell everybody that's the story they tell at the dinner table
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after these big conferences.
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When they take you to the secret meeting,
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that's what they tell you we're really up to.
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And so it's fine if the masses think
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we're trying to get rid of them,
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because we are trying to get rid of some of them,
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we don't need the adults.
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There's not enough time for us
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to collect anything meaningful for them,
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what we really need are babies.
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And that's the literal truth.
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They need to convince the next generation
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of parents that surrendering their kids
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genetic and medical data, it was normal,
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is part of what you owe to society as a parent.
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I can guarantee you 100%
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that that's where this is going.
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And they're not trying to convince me, I got kids.
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They're not trying to convince you, you got kids,
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and you don't know exactly what your responsibilities are
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for them and to them.
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But they're trying slowly
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to change how my son will think about his kids
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because it's my son's kids they want.
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18:27.080 --> 18:29.080
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And if you don't see
|
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18:29.080 --> 18:33.080
|
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that this is at least a generation ahead
|
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18:33.080 --> 18:35.080
|
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of what they're trying to get to, so 20 years from now,
|
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18:35.080 --> 18:37.080
|
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then you're not looking far enough ahead.
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18:37.080 --> 18:39.080
|
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That's how this game is played.
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18:39.080 --> 18:43.080
|
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It's a multi-generational game
|
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18:43.080 --> 18:45.080
|
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for all the marbles.
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18:45.080 --> 18:47.080
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It's not for 10 years from now.
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18:47.080 --> 18:49.080
|
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And although the election next year is important,
|
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18:49.080 --> 18:53.080
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their plans don't hinge on it.
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18:53.080 --> 18:55.080
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Because they're flexible.
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18:55.080 --> 18:57.080
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They can always bring something else.
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18:57.080 --> 19:01.080
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And so the point is is that we've got a few years
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19:01.080 --> 19:03.080
|
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for everybody to learn the biology well enough
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19:03.080 --> 19:05.080
|
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to declare their freedom.
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19:05.080 --> 19:09.080
|
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Or at some point they're just going to continue
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19:09.080 --> 19:13.080
|
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to push the physical manifestation
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19:13.080 --> 19:17.080
|
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of public health.
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19:17.080 --> 19:19.080
|
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They can keep releasing clones.
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19:19.080 --> 19:21.080
|
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They can keep making people sick.
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19:21.080 --> 19:23.080
|
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They can keep poisoning people
|
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19:23.080 --> 19:25.080
|
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and blaming it on mother nature.
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19:25.080 --> 19:27.080
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That is not a problem.
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19:27.080 --> 19:29.080
|
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And if they have to, they will.
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19:29.080 --> 19:31.080
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So I thought it would be really important
|
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19:31.080 --> 19:33.080
|
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as we're trying to track down
|
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19:33.080 --> 19:35.080
|
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this long-term timeline
|
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19:35.080 --> 19:37.080
|
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and we're trying to see the people in it.
|
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19:37.080 --> 19:39.080
|
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I thought it would be really instructive
|
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19:39.080 --> 19:41.080
|
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for you to see this video,
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19:41.080 --> 19:43.080
|
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which was just released today
|
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19:43.080 --> 19:45.080
|
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by the Huberman lab.
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19:45.080 --> 19:47.080
|
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Now I'm no fear familiar with the Huberman lab,
|
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19:47.080 --> 19:49.080
|
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but he's a neurobiologist at Stanford.
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19:49.080 --> 19:53.080
|
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And if you watch his YouTube about the brain
|
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19:53.080 --> 19:55.080
|
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and about motivation
|
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19:55.080 --> 19:57.080
|
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and about dopamine
|
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|
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19:57.080 --> 19:59.080
|
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and about vision,
|
|
|
|
19:59.080 --> 20:01.080
|
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he is one of the sharpest knives in the drawer.
|
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|
20:01.080 --> 20:03.080
|
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And I would dare to say
|
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20:03.080 --> 20:05.080
|
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that he's another one of these people
|
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|
20:05.080 --> 20:07.080
|
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that I'm in his field
|
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20:07.080 --> 20:09.080
|
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and I would humbly submit
|
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20:09.080 --> 20:11.080
|
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that that guy is a beast.
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20:11.080 --> 20:13.080
|
|
So I would love to have a conversation with him.
|
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|
20:13.080 --> 20:15.080
|
|
I'd love to talk to him about immunology.
|
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|
20:15.080 --> 20:17.080
|
|
It wouldn't surprise me
|
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|
20:17.080 --> 20:21.080
|
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if he knew about as much about immunology as I do.
|
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|
20:21.080 --> 20:23.080
|
|
He's a very, very bright guy.
|
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|
20:23.080 --> 20:25.080
|
|
But what I want you to see here
|
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|
20:27.080 --> 20:29.080
|
|
is how a guy who works at Stanford
|
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|
20:29.080 --> 20:31.080
|
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has ten year at Stanford
|
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|
20:31.080 --> 20:33.080
|
|
and he's a baller.
|
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|
|
20:33.080 --> 20:35.080
|
|
This guy is a beast.
|
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|
|
20:35.080 --> 20:39.080
|
|
He's super, super on top of the literature.
|
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|
20:39.080 --> 20:41.080
|
|
He's really in front
|
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|
20:41.080 --> 20:45.080
|
|
of the main theories of neuroscience
|
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|
|
20:45.080 --> 20:47.080
|
|
and I look up to him with the greatest respect
|
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|
|
20:47.080 --> 20:49.080
|
|
with regard to that field.
|
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|
20:49.080 --> 20:51.080
|
|
And as a successful academic,
|
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|
|
20:51.080 --> 20:53.080
|
|
I mean, you know,
|
|
|
|
20:53.080 --> 20:55.080
|
|
he's as good as they get, I guess.
|
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|
|
20:55.080 --> 20:57.080
|
|
I mean, he's not some Nobel prize dude.
|
|
|
|
20:57.080 --> 20:59.080
|
|
I mean, he's a solid Stanford professor.
|
|
|
|
20:59.080 --> 21:01.080
|
|
Let me say it like that, okay?
|
|
|
|
21:01.080 --> 21:03.080
|
|
What I want you to see here
|
|
|
|
21:03.080 --> 21:05.080
|
|
is that Dr. Priscilla Chan
|
|
|
|
21:05.080 --> 21:07.080
|
|
and Mark Zuckerberg
|
|
|
|
21:07.080 --> 21:09.080
|
|
are two rich people
|
|
|
|
21:09.080 --> 21:13.080
|
|
who do not defer to him
|
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|
|
21:13.080 --> 21:15.080
|
|
as either smart
|
|
|
|
21:15.080 --> 21:17.080
|
|
or accomplished
|
|
|
|
21:17.080 --> 21:19.080
|
|
but rather defer to him
|
|
|
|
21:19.080 --> 21:21.080
|
|
as an interviewer
|
|
|
|
21:21.080 --> 21:23.080
|
|
or a podcaster.
|
|
|
|
21:23.080 --> 21:25.080
|
|
He might as well be
|
|
|
|
21:25.080 --> 21:27.080
|
|
me coming in there and saying
|
|
|
|
21:27.080 --> 21:29.080
|
|
hi, I'm a guy who works out of his garage
|
|
|
|
21:29.080 --> 21:31.080
|
|
and I'd like to talk to you.
|
|
|
|
21:31.080 --> 21:33.080
|
|
Tell us what you're going to do.
|
|
|
|
21:33.080 --> 21:36.080
|
|
And they tell him
|
|
|
|
21:36.080 --> 21:38.080
|
|
about their plan
|
|
|
|
21:38.080 --> 21:40.080
|
|
to cure
|
|
|
|
21:40.080 --> 21:43.080
|
|
all human diseases.
|
|
|
|
21:43.080 --> 21:47.080
|
|
Just want you to let that settle in.
|
|
|
|
21:47.080 --> 21:51.080
|
|
Android boy
|
|
|
|
21:51.080 --> 21:53.080
|
|
who says we're going to
|
|
|
|
21:53.080 --> 21:55.080
|
|
grill some meats.
|
|
|
|
21:55.080 --> 21:57.080
|
|
If you've never seen that Facebook video
|
|
|
|
21:57.080 --> 21:59.080
|
|
of him talking about smoking some meat
|
|
|
|
21:59.080 --> 22:01.080
|
|
in his backyard
|
|
|
|
22:01.080 --> 22:03.080
|
|
with his friends,
|
|
|
|
22:03.080 --> 22:05.080
|
|
please Google that
|
|
|
|
22:05.080 --> 22:07.080
|
|
and realize what we're dealing with here.
|
|
|
|
22:07.080 --> 22:09.080
|
|
This is a construct.
|
|
|
|
22:09.080 --> 22:11.080
|
|
This is some
|
|
|
|
22:11.080 --> 22:13.080
|
|
weird dude.
|
|
|
|
22:13.080 --> 22:15.080
|
|
I don't know what to tell you what he is
|
|
|
|
22:15.080 --> 22:17.080
|
|
but he's not just a guy with a company
|
|
|
|
22:17.080 --> 22:19.080
|
|
and that's not just his wife
|
|
|
|
22:19.080 --> 22:21.080
|
|
and you will see it
|
|
|
|
22:21.080 --> 22:23.080
|
|
as they talk.
|
|
|
|
22:23.080 --> 22:25.080
|
|
We are being ruled by these people.
|
|
|
|
22:25.080 --> 22:27.080
|
|
These unelected
|
|
|
|
22:27.080 --> 22:29.080
|
|
egomaniacs
|
|
|
|
22:29.080 --> 22:31.080
|
|
and I'm not talking about
|
|
|
|
22:31.080 --> 22:33.080
|
|
Huberman. I'm talking about these two
|
|
|
|
22:33.080 --> 22:35.080
|
|
and he went to their house
|
|
|
|
22:35.080 --> 22:37.080
|
|
so that's submission.
|
|
|
|
22:37.080 --> 22:39.080
|
|
Okay.
|
|
|
|
22:39.080 --> 22:41.080
|
|
I'm not saying that Huberman is submissive
|
|
|
|
22:41.080 --> 22:43.080
|
|
but I'm telling him
|
|
|
|
22:43.080 --> 22:45.080
|
|
if you're listening
|
|
|
|
22:45.080 --> 22:47.080
|
|
Mr. Dr. Huberman
|
|
|
|
22:47.080 --> 22:49.080
|
|
that's what you've done.
|
|
|
|
22:49.080 --> 22:51.080
|
|
You submitted to them
|
|
|
|
22:51.080 --> 22:53.080
|
|
and they show they act like you're
|
|
|
|
22:53.080 --> 22:55.080
|
|
submitting to them.
|
|
|
|
22:55.080 --> 22:57.080
|
|
The arrogance
|
|
|
|
22:57.080 --> 22:59.080
|
|
that Priscilla Chan speaks
|
|
|
|
22:59.080 --> 23:01.080
|
|
with here as somebody who's almost
|
|
|
|
23:01.080 --> 23:03.080
|
|
never been on camera in America
|
|
|
|
23:03.080 --> 23:05.080
|
|
she speaks as though she's already
|
|
|
|
23:05.080 --> 23:07.080
|
|
president or something
|
|
|
|
23:07.080 --> 23:09.080
|
|
and remember what they're talking about.
|
|
|
|
23:09.080 --> 23:11.080
|
|
They're talking about the future of health
|
|
|
|
23:11.080 --> 23:13.080
|
|
and technology and curing all
|
|
|
|
23:13.080 --> 23:15.080
|
|
human diseases.
|
|
|
|
23:15.080 --> 23:17.080
|
|
This is some serious
|
|
|
|
23:17.080 --> 23:19.080
|
|
serious talk.
|
|
|
|
23:19.080 --> 23:21.080
|
|
By the way, I think this is what happened
|
|
|
|
23:21.080 --> 23:23.080
|
|
thanks to Allison for this link.
|
|
|
|
23:23.080 --> 23:25.080
|
|
I think I had a vocal hemorrhage
|
|
|
|
23:25.080 --> 23:27.080
|
|
so I had something
|
|
|
|
23:27.080 --> 23:29.080
|
|
there's a little thin layer of
|
|
|
|
23:29.080 --> 23:31.080
|
|
fibrous tissue that surrounds
|
|
|
|
23:31.080 --> 23:33.080
|
|
the outside of your vocal cords
|
|
|
|
23:33.080 --> 23:35.080
|
|
and if you abuse your vocal cords
|
|
|
|
23:35.080 --> 23:37.080
|
|
you can bleed there and then that will
|
|
|
|
23:37.080 --> 23:39.080
|
|
fill up with blood and I think what happened
|
|
|
|
23:39.080 --> 23:41.080
|
|
actually is that happened a
|
|
|
|
23:41.080 --> 23:43.080
|
|
long time ago
|
|
|
|
23:43.080 --> 23:45.080
|
|
and it got worse and worse.
|
|
|
|
23:45.080 --> 23:47.080
|
|
To the point it was like a big bubble
|
|
|
|
23:47.080 --> 23:49.080
|
|
or something because it was blocking
|
|
|
|
23:49.080 --> 23:51.080
|
|
my sleep and blocking my breathing
|
|
|
|
23:51.080 --> 23:53.080
|
|
when I was playing basketball and it felt
|
|
|
|
23:53.080 --> 23:55.080
|
|
like a bubble or a thump in my throat
|
|
|
|
23:55.080 --> 23:59.080
|
|
and so the amount of blood that came out
|
|
|
|
23:59.080 --> 24:01.080
|
|
not to be graphic or anything like that but
|
|
|
|
24:01.080 --> 24:03.080
|
|
it was a lot more blood than I'm seeing in this picture
|
|
|
|
24:03.080 --> 24:05.080
|
|
I mean it had to have been
|
|
|
|
24:05.080 --> 24:07.080
|
|
I don't know what way it was a quantity
|
|
|
|
24:07.080 --> 24:09.080
|
|
though you know so
|
|
|
|
24:09.080 --> 24:11.080
|
|
whatever happened I'm sure
|
|
|
|
24:11.080 --> 24:13.080
|
|
needs a chance to heal
|
|
|
|
24:13.080 --> 24:15.080
|
|
and most of these hemorrhages apparently
|
|
|
|
24:15.080 --> 24:17.080
|
|
will heal with immediate voice rest
|
|
|
|
24:17.080 --> 24:19.080
|
|
and that means limited or entirely
|
|
|
|
24:19.080 --> 24:21.080
|
|
suspended for several days
|
|
|
|
24:21.080 --> 24:23.080
|
|
which I haven't done
|
|
|
|
24:23.080 --> 24:25.080
|
|
so I still may have to do that
|
|
|
|
24:25.080 --> 24:27.080
|
|
but I'm not talking usually
|
|
|
|
24:27.080 --> 24:29.080
|
|
so I sit here all the time
|
|
|
|
24:29.080 --> 24:31.080
|
|
by myself
|
|
|
|
24:31.080 --> 24:33.080
|
|
but I was well never am I going to say that
|
|
|
|
24:33.080 --> 24:35.080
|
|
here we go
|
|
|
|
24:35.080 --> 24:37.080
|
|
these guys are crazy
|
|
|
|
24:37.080 --> 24:39.080
|
|
it's just nuts
|
|
|
|
24:39.080 --> 24:41.080
|
|
I can't even believe it
|
|
|
|
24:41.080 --> 24:43.080
|
|
I'm going to put myself a little
|
|
|
|
24:43.080 --> 24:45.080
|
|
smaller
|
|
|
|
24:45.080 --> 24:47.080
|
|
please
|
|
|
|
24:47.080 --> 24:51.080
|
|
it's extraordinary
|
|
|
|
24:51.080 --> 24:53.080
|
|
I don't know how long we're going to watch it
|
|
|
|
24:53.080 --> 24:55.080
|
|
we're not going to watch the whole thing
|
|
|
|
24:55.080 --> 24:57.080
|
|
it's like two hours long so I'm not going to watch it
|
|
|
|
24:57.080 --> 24:59.080
|
|
what I really want you to do
|
|
|
|
24:59.080 --> 25:01.080
|
|
is the language that they're using
|
|
|
|
25:01.080 --> 25:03.080
|
|
and the lack of depth
|
|
|
|
25:03.080 --> 25:05.080
|
|
that they describe the concepts
|
|
|
|
25:05.080 --> 25:07.080
|
|
let me remember what we're saying here
|
|
|
|
25:07.080 --> 25:09.080
|
|
they're talking to a
|
|
|
|
25:09.080 --> 25:11.080
|
|
Stanford neurobiologist
|
|
|
|
25:11.080 --> 25:15.080
|
|
who podcasts and communicates
|
|
|
|
25:15.080 --> 25:19.080
|
|
about science as his part-time fun job
|
|
|
|
25:19.080 --> 25:21.080
|
|
and so
|
|
|
|
25:21.080 --> 25:23.080
|
|
he's a
|
|
|
|
25:23.080 --> 25:25.080
|
|
in-depth interviewer
|
|
|
|
25:25.080 --> 25:27.080
|
|
you can understand things right
|
|
|
|
25:27.080 --> 25:29.080
|
|
and
|
|
|
|
25:29.080 --> 25:31.080
|
|
to make the claim that you're going to cure all diseases
|
|
|
|
25:31.080 --> 25:33.080
|
|
by collecting data
|
|
|
|
25:33.080 --> 25:35.080
|
|
Huberman's the kind of guy
|
|
|
|
25:35.080 --> 25:37.080
|
|
who could in theory demand
|
|
|
|
25:37.080 --> 25:39.080
|
|
a better explanation
|
|
|
|
25:39.080 --> 25:41.080
|
|
so let's hold him to account as well
|
|
|
|
25:41.080 --> 25:43.080
|
|
as Huberman calling out
|
|
|
|
25:43.080 --> 25:46.080
|
|
the BS that he's hearing or not
|
|
|
|
25:46.080 --> 25:48.080
|
|
and how much BS are we hearing
|
|
|
|
25:48.080 --> 25:50.080
|
|
I'll try to take some notes
|
|
|
|
25:50.080 --> 25:52.080
|
|
but I'll probably just interrupt
|
|
|
|
25:52.080 --> 25:54.080
|
|
too
|
|
|
|
25:54.080 --> 25:56.080
|
|
anyway let me see
|
|
|
|
25:56.080 --> 25:58.080
|
|
maybe I'm just gonna speed it up just
|
|
|
|
25:58.080 --> 26:02.080
|
|
a tad okay not a lot just a tad
|
|
|
|
26:02.080 --> 26:04.080
|
|
Welcome to the Huberman Lab Podcast
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where we discuss science
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and science-based tools for everyday life
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I'm Andrew Huberman
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and I'm a professor of neurobiology
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and ophthalmology at Stanford School of Medicine
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My guest today are Mark Zuckerberg
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and Dr. Priscilla Chan
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Mark Zuckerberg, as everybody knows
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founded the company Facebook
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is now the CEO of Meta
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which includes Facebook, Instagram, WhatsApp
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and other technology platforms
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Dr. Priscilla Chan graduated from Harvard
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and went on to do her medical degree
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at the University of California San Francisco
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Mark Zuckerberg and Dr. Priscilla Chan
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are married and the co-founders
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of the CZI or Chan Zuckerberg Initiative
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a philanthropic organization
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whose stated goal is to cure all human diseases
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The Chan Zuckerberg Initiative is accomplishing that
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by providing critical funding
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not available elsewhere
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as well as a novel framework
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functioning of cells
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cataloging all the different human cell types
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as well as providing AI or artificial intelligence platforms
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to mine all of that data
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to discover new pathways and cures
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for all human diseases
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The first hour of today's discussion
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is held with both Dr. Priscilla Chan
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and Mark Zuckerberg
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during which we discuss the CZI
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I mean think about what he just said there
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I kind of agree with Jason M
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what a cartoon goal
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basically he says
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we're going to collect so much data
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that will understand it
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that's kind of like saying
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we're going to measure the weather
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in so many places around the world
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and feed it into a computer
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if we measure it in enough places
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we're going to know what the weather is forever
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it's a similar statement
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we're going to collect so much weather data
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that we're going to understand how storms work
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and we're going to be able to predict the weather better than ever
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except you're talking about a biological
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pattern integrity
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that's somehow governed by genetics
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but we don't know how
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and you're going to figure it out
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by collecting a bunch of data
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and that sounds great
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but the way that he's selling it
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and the way that he's accepting it
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I agree he's almost got to be a seller
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like this is
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you're going to see it
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I'll get to let him talk
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because at least he's got to give an introduction
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but it's brutal
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it really means to try and cure all human diseases
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we talk about the motivational backbone for the CZI
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that extends well into each of their personal histories
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indeed you'll learn quite a lot
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about Dr. Priscilla Chan
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who has
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I must say an absolutely incredible family story
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leading up to her role as a physician
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and her motivations for the CZI
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and beyond
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and you'll learn from Mark
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how he's bringing an engineering and AI perspective
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to the discovery of new cures for human disease
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the second half of today's discussion
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is just between Mark Zuckerberg and me
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during which we discuss various meta platforms
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including of course social media platforms
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and their effects on mental health in children and adults
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we also discuss VR, virtual reality
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as well as augmented and mixed reality
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and we discuss AI, artificial intelligence
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and how it stands to transform not just our online experiences
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with social media and other technologies
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and how it stands to potentially transform
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every aspect of everyday life
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before we begin I'd like to emphasize that this podcast
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is separate from my teaching and research roles at Stanford
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it is however part of my desire and effort
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to bring zero cost to consumer information about
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okay so now
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I'm gonna let his sponsors play out
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because I want you to hear who they are
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and then realize who else they sponsor
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a limit or no
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element is one of his sponsors
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element is this salt drink
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that a lot of these sports guys run
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so there's like five other podcasts
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that are kind of underneath Joe Rogan
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and they're all sponsored by that
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and you'll hear a couple other ones too
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maybe I don't know
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science and science related tools to the general public
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in keeping with that theme
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I'd like to thank the sponsors of today's podcast
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our first sponsor is Ate Sleep
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Ate Sleep makes smart mattress covers with cooling, heating
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and sleep tracking capacity
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really greatly improved
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this episode is also brought to us by Element
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Element is an electrolyte drink that has everything
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that's a lot of water
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I'll often also have
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www.lmnt.com.com
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I'm pleased to announce that we will be
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hosting four live events in Australia
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we've now scheduled
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oh yeah I forgot
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each of which is entitled
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www.blackcom.com
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to get a free sample pack with your purchase
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again that's www.drinklmnt.com
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it's also interesting that he's gonna host
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and he's to announce that we will be hosting four live events in Australia
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each of which is entitled The Brain Body Contract
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during which I will share science
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and science related tools for mental health
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physical health and performance
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so let's get him some world travel
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get him to Australia
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and then get him to talk about nothing
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to do with the last three years of life
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get him lots of hotel rooms
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and stuff like that
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I think you can see it
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he's definitely been co-opted
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he's got a great job at Stanford
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he's never gonna question the narrative
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even if he realizes that they're overextended
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it's obvious that he probably believes in the
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in the basic public health narrative
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so that's unfortunate
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let's go
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also be a live question and answer session
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we have limited tickets still available
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for the event in Melbourne on February 10th
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as well as the event in Brisbane on February 24th
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our event in Sydney at the Sydney Opera House
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sold out very quickly
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so as a consequence we've now scheduled
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if I learned about this a few years ago
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when my lab talked so great to meet you
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and thank you for having me here in your home
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thanks for having us on the podcast
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I'd like to talk about the CZI
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Zuckerberg initiative
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I learned about this a few years ago
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when my lab was and still is now at Stanford
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as a very exciting philanthropic effort
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that has a truly big mission
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I can't imagine a bigger mission
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so maybe you can tell us what that big mission is
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and then we can get into some of the mechanics of how that
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don't forget that the Chan Zuckerberg initiative
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is also responsible for BioArchive
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which was one of these
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preprint servers that really ruined
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the beginning of the pandemic with noise
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big mission can become a reality
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so like you're mentioning in 2015
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we launched the Chan Zuckerberg initiative
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and what we were hoping to do at CZI
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was think about how do we build a better future
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for everyone and looking for ways
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where we can contribute the resources
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that we have to bring philanthropically
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and the experiences that Mark and I have had
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for me as a physician and educator
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for Mark as an engineer
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and then our ability to bring teams together
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to build the builders
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you know Mark has been a builder throughout his career
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and what could we do if we actually put together a team
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to build tools
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do great science
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and so within our science portfolio
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we've really been focused on what
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some people think is either an incredibly
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audacious goal or
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an inevitable goal but I think about it
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as something that will happen if we sort of continue
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focusing on it which is to be able to
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cure prevent or manage all disease by the end of the century
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all disease so that's important
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right a lot of times people ask like which
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disease and the whole point is that there is
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not one disease and it's really about
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taking a step back to where I always
|
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32:39.080 --> 32:41.080
|
|
found the most hope as a physician
|
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32:41.080 --> 32:43.080
|
|
which is new discoveries
|
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32:43.080 --> 32:45.080
|
|
and new opportunities and new ways of
|
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32:45.080 --> 32:47.080
|
|
understanding how to keep people well
|
|
|
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32:47.080 --> 32:49.080
|
|
come from basic science
|
|
|
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32:49.080 --> 32:51.080
|
|
what she just said makes absolutely no sense
|
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32:51.080 --> 32:53.080
|
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and is no way related
|
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32:53.080 --> 32:55.080
|
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to this absolutely ridiculous
|
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32:55.080 --> 32:57.080
|
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goal of flying to the sun and
|
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32:57.080 --> 32:59.080
|
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touching it with your tongue
|
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32:59.080 --> 33:01.080
|
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I mean I don't even know what she's talking about
|
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|
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33:01.080 --> 33:03.080
|
|
we're going to cure all diseases
|
|
|
|
33:03.080 --> 33:05.080
|
|
and that's really important right it's all diseases
|
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|
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33:05.080 --> 33:07.080
|
|
mm-hmm
|
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33:07.080 --> 33:09.080
|
|
do you mean diseases
|
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33:09.080 --> 33:11.080
|
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like infectious diseases
|
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33:11.080 --> 33:13.080
|
|
or do you mean like genetic diseases
|
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33:13.080 --> 33:15.080
|
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or do you mean like bacterial
|
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33:15.080 --> 33:17.080
|
|
infections or
|
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33:17.080 --> 33:19.080
|
|
do you mean like
|
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33:19.080 --> 33:21.080
|
|
screen addiction
|
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33:21.080 --> 33:23.080
|
|
or
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33:23.080 --> 33:25.080
|
|
or you see
|
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33:25.080 --> 33:27.080
|
|
this is the kind of bamboozlement
|
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33:27.080 --> 33:29.080
|
|
that gets done when you're trying to get
|
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33:29.080 --> 33:31.080
|
|
the money from venture capitalists
|
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33:31.080 --> 33:33.080
|
|
when you're trying to get money from
|
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33:33.080 --> 33:35.080
|
|
people who don't understand
|
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|
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33:35.080 --> 33:37.080
|
|
who have been inside of the mythology
|
|
|
|
33:37.080 --> 33:39.080
|
|
for so long
|
|
|
|
33:39.080 --> 33:41.080
|
|
that this all sounds real
|
|
|
|
33:41.080 --> 33:43.080
|
|
this is one of the biggest
|
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33:43.080 --> 33:45.080
|
|
snake oil salesman couples
|
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|
33:45.080 --> 33:47.080
|
|
on the planet
|
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|
|
33:47.080 --> 33:49.080
|
|
this is a non-elected
|
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33:49.080 --> 33:51.080
|
|
I don't even know
|
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|
|
33:51.080 --> 33:53.080
|
|
why she started out talking first
|
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|
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33:53.080 --> 33:55.080
|
|
have you ever heard her speak before
|
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33:55.080 --> 33:57.080
|
|
why do I want to hear her speak?
|
|
|
|
33:57.080 --> 33:59.080
|
|
she's just a doctor
|
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|
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33:59.080 --> 34:01.080
|
|
she didn't even become rich
|
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34:01.080 --> 34:03.080
|
|
for any particularly good reason
|
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34:03.080 --> 34:05.080
|
|
other than for the fact
|
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34:05.080 --> 34:07.080
|
|
that her husband apparently
|
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34:07.080 --> 34:09.080
|
|
invented a platform
|
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|
34:09.080 --> 34:11.080
|
|
that's being used to control most of America
|
|
|
|
34:11.080 --> 34:13.080
|
|
in the world
|
|
|
|
34:13.080 --> 34:15.080
|
|
you're right
|
|
|
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34:15.080 --> 34:17.080
|
|
it's really annoying
|
|
|
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34:17.080 --> 34:19.080
|
|
to me right now
|
|
|
|
34:19.080 --> 34:21.080
|
|
how many of these people presume to govern us
|
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34:21.080 --> 34:23.080
|
|
just based on the fact
|
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34:23.080 --> 34:25.080
|
|
that the system has made them rich
|
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|
|
34:25.080 --> 34:27.080
|
|
a system has made them
|
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34:27.080 --> 34:29.080
|
|
artificially rich
|
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34:29.080 --> 34:31.080
|
|
has raised them
|
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34:31.080 --> 34:33.080
|
|
artificially to be
|
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|
|
34:33.080 --> 34:35.080
|
|
a player at this stage
|
|
|
|
34:35.080 --> 34:37.080
|
|
this android person over here
|
|
|
|
34:37.080 --> 34:39.080
|
|
is not a
|
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|
|
34:39.080 --> 34:41.080
|
|
thought leader in any circle
|
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|
34:41.080 --> 34:43.080
|
|
that he ever sits in
|
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|
|
34:43.080 --> 34:45.080
|
|
at any dinner table he's ever at
|
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|
|
34:45.080 --> 34:47.080
|
|
and that's not a wife
|
|
|
|
34:47.080 --> 34:49.080
|
|
who loves him
|
|
|
|
34:49.080 --> 34:51.080
|
|
this is not a married couple
|
|
|
|
34:51.080 --> 34:53.080
|
|
that sleeps together at night naked
|
|
|
|
34:53.080 --> 34:55.080
|
|
are you joking?
|
|
|
|
34:55.080 --> 34:57.080
|
|
watch them interact
|
|
|
|
34:57.080 --> 34:59.080
|
|
over the next ten minutes
|
|
|
|
34:59.080 --> 35:01.080
|
|
and tell me you see a couple in love
|
|
|
|
35:01.080 --> 35:03.080
|
|
it's pathetic
|
|
|
|
35:03.080 --> 35:05.080
|
|
we are being lied to
|
|
|
|
35:05.080 --> 35:07.080
|
|
by liars
|
|
|
|
35:11.080 --> 35:13.080
|
|
so our strategy at CZI
|
|
|
|
35:13.080 --> 35:15.080
|
|
is really to build tools
|
|
|
|
35:15.080 --> 35:17.080
|
|
fund science
|
|
|
|
35:17.080 --> 35:19.080
|
|
change the way basic scientists can
|
|
|
|
35:19.080 --> 35:21.080
|
|
see the world and how they can
|
|
|
|
35:21.080 --> 35:23.080
|
|
move quickly in their discoveries
|
|
|
|
35:23.080 --> 35:25.080
|
|
and so that's what we launched
|
|
|
|
35:25.080 --> 35:27.080
|
|
in 2015
|
|
|
|
35:27.080 --> 35:29.080
|
|
we do work in three ways
|
|
|
|
35:29.080 --> 35:31.080
|
|
we fund great scientists
|
|
|
|
35:31.080 --> 35:33.080
|
|
we build tools
|
|
|
|
35:33.080 --> 35:35.080
|
|
right now software tools
|
|
|
|
35:35.080 --> 35:37.080
|
|
to help move science along
|
|
|
|
35:37.080 --> 35:39.080
|
|
and make it easier for scientists
|
|
|
|
35:39.080 --> 35:41.080
|
|
software tools to sing
|
|
|
|
35:41.080 --> 35:43.080
|
|
you mentioned Stanford being an important pillar
|
|
|
|
35:43.080 --> 35:45.080
|
|
for our science work
|
|
|
|
35:45.080 --> 35:47.080
|
|
we've built what we call bio hubs
|
|
|
|
35:47.080 --> 35:49.080
|
|
and grant challenges
|
|
|
|
35:49.080 --> 35:51.080
|
|
to do work that wouldn't be possible
|
|
|
|
35:51.080 --> 35:53.080
|
|
in a single lab or within a single discipline
|
|
|
|
35:53.080 --> 35:55.080
|
|
and our first bio hub was launched
|
|
|
|
35:55.080 --> 35:57.080
|
|
in San Francisco
|
|
|
|
35:57.080 --> 35:59.080
|
|
a collaboration between Stanford
|
|
|
|
35:59.080 --> 36:01.080
|
|
UC Berkeley and UCSF
|
|
|
|
36:01.080 --> 36:03.080
|
|
why is that amazing?
|
|
|
|
36:03.080 --> 36:05.080
|
|
implies that
|
|
|
|
36:05.080 --> 36:07.080
|
|
there will either be a ton of knowledge
|
|
|
|
36:07.080 --> 36:09.080
|
|
gleaned from this effort
|
|
|
|
36:09.080 --> 36:11.080
|
|
which I'm certain there will be and there already has been
|
|
|
|
36:11.080 --> 36:13.080
|
|
we can talk about some of those early successes
|
|
|
|
36:13.080 --> 36:15.080
|
|
be very careful with the words
|
|
|
|
36:15.080 --> 36:17.080
|
|
there will be a lot of data extracted from this
|
|
|
|
36:17.080 --> 36:19.080
|
|
I don't know how much knowledge will be extracted
|
|
|
|
36:19.080 --> 36:21.080
|
|
from this Huberman moment
|
|
|
|
36:21.080 --> 36:23.080
|
|
but it also sort of implies that if we can understand
|
|
|
|
36:23.080 --> 36:25.080
|
|
some basic operations
|
|
|
|
36:25.080 --> 36:27.080
|
|
of diseases and cells
|
|
|
|
36:27.080 --> 36:29.080
|
|
that transcend autism
|
|
|
|
36:29.080 --> 36:31.080
|
|
Huntington's Parkinson's cancer
|
|
|
|
36:31.080 --> 36:33.080
|
|
and any other disease that
|
|
|
|
36:33.080 --> 36:35.080
|
|
perhaps there are some core principles
|
|
|
|
36:35.080 --> 36:37.080
|
|
that would make the big mission
|
|
|
|
36:37.080 --> 36:39.080
|
|
a real reality so to speak
|
|
|
|
36:39.080 --> 36:41.080
|
|
what I'm basically saying is
|
|
|
|
36:41.080 --> 36:43.080
|
|
how are you attacking this?
|
|
|
|
36:43.080 --> 36:45.080
|
|
because that the cell sits at the center
|
|
|
|
36:45.080 --> 36:47.080
|
|
of all discussion about disease
|
|
|
|
36:47.080 --> 36:49.080
|
|
given that our body is made up of cells
|
|
|
|
36:49.080 --> 36:51.080
|
|
and different types of cells
|
|
|
|
36:51.080 --> 36:53.080
|
|
so maybe you could just
|
|
|
|
36:53.080 --> 36:55.080
|
|
illuminate for us a little bit of what
|
|
|
|
36:55.080 --> 36:57.080
|
|
the cell is
|
|
|
|
36:57.080 --> 36:59.080
|
|
in your mind as it relates to disease
|
|
|
|
36:59.080 --> 37:01.080
|
|
and how one goes about understanding disease
|
|
|
|
37:01.080 --> 37:03.080
|
|
in the context of cells
|
|
|
|
37:03.080 --> 37:05.080
|
|
because ultimately that's what we're made up of
|
|
|
|
37:05.080 --> 37:07.080
|
|
yeah well let's get to the cell thing in a moment
|
|
|
|
37:07.080 --> 37:09.080
|
|
but just even take a step back from that
|
|
|
|
37:09.080 --> 37:11.080
|
|
we don't think that
|
|
|
|
37:11.080 --> 37:13.080
|
|
I want you to hear
|
|
|
|
37:13.080 --> 37:15.080
|
|
this is Huberman asking them
|
|
|
|
37:15.080 --> 37:17.080
|
|
a very hard question
|
|
|
|
37:17.080 --> 37:19.080
|
|
about the nuts and bolts
|
|
|
|
37:19.080 --> 37:21.080
|
|
of how the hell they're going to do this
|
|
|
|
37:21.080 --> 37:23.080
|
|
so the proposal is
|
|
|
|
37:23.080 --> 37:25.080
|
|
that they're going to study and catalog
|
|
|
|
37:25.080 --> 37:27.080
|
|
all the cells of the human body
|
|
|
|
37:27.080 --> 37:29.080
|
|
and catalog how all of the cells
|
|
|
|
37:29.080 --> 37:31.080
|
|
in the human body work
|
|
|
|
37:31.080 --> 37:33.080
|
|
that's one of the things he said
|
|
|
|
37:33.080 --> 37:35.080
|
|
in the beginning
|
|
|
|
37:35.080 --> 37:37.080
|
|
so of course he's formulated a question
|
|
|
|
37:37.080 --> 37:39.080
|
|
that has to do with that very description
|
|
|
|
37:39.080 --> 37:41.080
|
|
of how they plan to build this
|
|
|
|
37:41.080 --> 37:43.080
|
|
this ladder of observation
|
|
|
|
37:43.080 --> 37:45.080
|
|
which will ultimately lead to understanding
|
|
|
|
37:47.080 --> 37:49.080
|
|
and this mythology is very
|
|
|
|
37:49.080 --> 37:51.080
|
|
straightforward so
|
|
|
|
37:51.080 --> 37:53.080
|
|
as the smart guy that he is
|
|
|
|
37:53.080 --> 37:55.080
|
|
he just asks them a very straightforward question
|
|
|
|
37:55.080 --> 37:57.080
|
|
about it in terms of how are you
|
|
|
|
37:57.080 --> 37:59.080
|
|
going to go about doing it and
|
|
|
|
37:59.080 --> 38:01.080
|
|
Zuck says well let's
|
|
|
|
38:01.080 --> 38:03.080
|
|
in his very nice little android voice
|
|
|
|
38:03.080 --> 38:05.080
|
|
let's go back to that subject
|
|
|
|
38:05.080 --> 38:07.080
|
|
in just a minute but first let's address something
|
|
|
|
38:07.080 --> 38:09.080
|
|
else that I really like a lot
|
|
|
|
38:09.080 --> 38:11.080
|
|
hmm
|
|
|
|
38:11.080 --> 38:13.080
|
|
belief is that the cell
|
|
|
|
38:13.080 --> 38:15.080
|
|
sits at the center of all discussion about
|
|
|
|
38:15.080 --> 38:17.080
|
|
disease given that our body is made up of
|
|
|
|
38:17.080 --> 38:19.080
|
|
cells and different types of cells so maybe
|
|
|
|
38:19.080 --> 38:20.080
|
|
could just
|
|
|
|
38:20.080 --> 38:22.080
|
|
illuminate for us a little bit of what
|
|
|
|
38:22.080 --> 38:24.080
|
|
the cell is
|
|
|
|
38:24.080 --> 38:26.080
|
|
in your mind as it relates to disease
|
|
|
|
38:26.080 --> 38:28.080
|
|
and how one goes about understanding
|
|
|
|
38:28.080 --> 38:30.080
|
|
disease in the context of cells because ultimately
|
|
|
|
38:30.080 --> 38:31.080
|
|
that's what we're made up of.
|
|
|
|
38:31.080 --> 38:33.080
|
|
Yeah well let's get to the cell thing
|
|
|
|
38:33.080 --> 38:35.080
|
|
in a moment but just even taking a step back from that
|
|
|
|
38:35.080 --> 38:37.080
|
|
you know we don't think that it sees the eye
|
|
|
|
38:37.080 --> 38:39.080
|
|
that we're going to cure prevent or manage all diseases
|
|
|
|
38:39.080 --> 38:41.080
|
|
the goal is to basically give the scientific
|
|
|
|
38:41.080 --> 38:43.080
|
|
community and scientists around the world
|
|
|
|
38:43.080 --> 38:45.080
|
|
the tools to accelerate the pace of science
|
|
|
|
38:45.080 --> 38:47.080
|
|
and we spent a lot of time when we were
|
|
|
|
38:47.080 --> 38:49.080
|
|
getting started with this looking at the history
|
|
|
|
38:49.080 --> 38:51.080
|
|
of science and trying to understand the trends
|
|
|
|
38:51.080 --> 38:53.080
|
|
and how they've played out over time and if you look
|
|
|
|
38:53.080 --> 38:55.080
|
|
over the this very long-term arc
|
|
|
|
38:55.080 --> 38:57.080
|
|
most large-scale discoveries
|
|
|
|
38:57.080 --> 38:59.080
|
|
are preceded by the invention of a new tool
|
|
|
|
38:59.080 --> 39:01.080
|
|
or a new way to see something but it's not just in biology
|
|
|
|
39:01.080 --> 39:03.080
|
|
right it's like having a telescope
|
|
|
|
39:03.080 --> 39:05.080
|
|
before a lot of discoveries in astronomy
|
|
|
|
39:05.080 --> 39:08.080
|
|
and astrophysics but similarly you know the microscope
|
|
|
|
39:08.080 --> 39:10.080
|
|
and just different ways to observe things
|
|
|
|
39:10.080 --> 39:12.080
|
|
or different platforms like the ability to do vaccines
|
|
|
|
39:12.080 --> 39:15.080
|
|
preceded the ability to kind of cure a lot of different things
|
|
|
|
39:15.080 --> 39:17.080
|
|
so this is sort of the engineering part
|
|
|
|
39:17.080 --> 39:19.080
|
|
that you were talking about about building tools.
|
|
|
|
39:19.080 --> 39:21.080
|
|
We view our goal is to
|
|
|
|
39:21.080 --> 39:23.080
|
|
try to bring together some scientific
|
|
|
|
39:23.080 --> 39:25.080
|
|
and engineering knowledge to build tools that empower
|
|
|
|
39:25.080 --> 39:27.080
|
|
the whole field and that's sort of the big arc
|
|
|
|
39:27.080 --> 39:29.080
|
|
and a lot of the things that we're focused on
|
|
|
|
39:29.080 --> 39:31.080
|
|
including the work in single cell
|
|
|
|
39:31.080 --> 39:33.080
|
|
and cell understanding which
|
|
|
|
39:33.080 --> 39:35.080
|
|
I can't let it go I'm going to go back
|
|
|
|
39:35.080 --> 39:37.080
|
|
I can't let it go he's such a jack
|
|
|
|
39:37.080 --> 39:39.080
|
|
it just drives me bananas
|
|
|
|
39:39.080 --> 39:41.080
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and the fact that these people I got to be careful
|
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39:41.080 --> 39:43.080
|
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because I'm going to start shouting
|
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39:43.080 --> 39:45.080
|
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but what he said was
|
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39:45.080 --> 39:49.080
|
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we needed to invent vaccines before we could cure things
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39:53.080 --> 39:55.080
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I mean think about how much of a jackass statement
|
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39:55.080 --> 39:56.080
|
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that is
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39:56.080 --> 39:59.080
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he's equating microscopes and the discovery of cells
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39:59.080 --> 40:03.080
|
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to vaccines and the curing of diseases
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40:03.080 --> 40:07.080
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I just want you to ponder that
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40:07.080 --> 40:11.080
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how ridiculous that analogy is or that parallel is
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40:11.080 --> 40:15.080
|
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and how dumb that makes
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40:15.080 --> 40:19.080
|
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it appear that he thinks we are
|
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40:19.080 --> 40:23.080
|
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is Huberman going to let such a stupid statement go by?
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40:23.080 --> 40:27.080
|
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probably because that's what he's being paid to do
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40:27.080 --> 40:29.080
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but this is really really sad
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40:29.080 --> 40:33.080
|
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because they're not even started trying to explain
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40:33.080 --> 40:35.080
|
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this nonsense claim
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40:35.080 --> 40:37.080
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and they're already talking
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40:37.080 --> 40:39.080
|
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absolute gibberish
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40:39.080 --> 40:41.080
|
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I don't expect anything different from this guy
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40:41.080 --> 40:43.080
|
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he's been a snake oil salesman
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40:43.080 --> 40:45.080
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liar his whole life
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40:45.080 --> 40:47.080
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but
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40:47.080 --> 40:49.080
|
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much more important and interesting
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40:49.080 --> 40:51.080
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is his wife no
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40:53.080 --> 40:55.080
|
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kind of a new tool
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40:55.080 --> 40:56.080
|
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to see something
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40:56.080 --> 40:58.080
|
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it's not just in biology right it's like having a telescope
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40:58.080 --> 41:00.080
|
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you know came before a lot of
|
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41:00.080 --> 41:02.080
|
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discoveries in astronomy and astrophysics
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41:02.080 --> 41:04.080
|
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but similarly you know the microscope
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41:04.080 --> 41:06.080
|
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and just different ways to observe things
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41:06.080 --> 41:08.080
|
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or different platforms like the ability to do vaccines
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41:08.080 --> 41:11.080
|
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preceded the ability to kind of cure a lot of different things
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41:11.080 --> 41:13.080
|
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you hear that right?
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41:13.080 --> 41:16.080
|
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I mean if my son
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41:16.080 --> 41:18.080
|
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said that to me at the dinner table
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41:18.080 --> 41:20.080
|
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I'd probably smack him on the side of his head
|
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41:20.080 --> 41:24.080
|
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that's how stupid that statement is
|
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41:24.080 --> 41:26.080
|
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have you not been listening to anything
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41:26.080 --> 41:28.080
|
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that you've ever learned in a biology class
|
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41:28.080 --> 41:30.080
|
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you jackass?
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41:30.080 --> 41:32.080
|
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of course he's not
|
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41:32.080 --> 41:34.080
|
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this is the message he's delivering
|
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41:34.080 --> 41:38.080
|
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this is a weaponized podcast
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41:38.080 --> 41:44.080
|
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on a podcast with lots and lots of viewers
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41:44.080 --> 41:49.080
|
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and it is weaponized to put these stupid thoughts in people's heads
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41:49.080 --> 41:51.080
|
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it's a subliminal thing
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41:51.080 --> 41:53.080
|
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that goes right through them
|
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41:53.080 --> 41:55.080
|
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nobody's pausing to talk or listen to me
|
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41:55.080 --> 41:58.080
|
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tell them this they're already going on
|
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41:58.080 --> 42:00.080
|
|
so this is sort of the engineering part
|
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42:00.080 --> 42:02.080
|
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that you were talking about about building tools
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42:02.080 --> 42:04.080
|
|
we view our goal is to
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42:04.080 --> 42:07.080
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try to bring together some scientific and engineering knowledge
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42:07.080 --> 42:09.080
|
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to build tools that empower the whole field
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42:09.080 --> 42:11.080
|
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and that's sort of the big arc
|
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42:11.080 --> 42:13.080
|
|
and a lot of the things that we're focused on
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42:13.080 --> 42:15.080
|
|
including the work in single cell and cell understanding
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42:15.080 --> 42:19.080
|
|
which you can jump in and get into that if you want
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42:19.080 --> 42:21.080
|
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but yeah I think we generally agree
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42:21.080 --> 42:23.080
|
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with the premise that if you want to understand
|
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42:23.080 --> 42:25.080
|
|
the stuff in those principles
|
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42:25.080 --> 42:27.080
|
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people study organs a lot
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42:27.080 --> 42:29.080
|
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study how things present across the body
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42:29.080 --> 42:32.080
|
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but there's not a very widespread understanding
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42:32.080 --> 42:34.080
|
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of how each cell operates
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42:34.080 --> 42:36.080
|
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and this is sort of a big part of
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42:36.080 --> 42:38.080
|
|
some of the initial work that we try to do on the human cell atlas
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42:38.080 --> 42:40.080
|
|
and understanding what are the different cells
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42:40.080 --> 42:42.080
|
|
and there's a bunch more work that we want to do to carry that forward
|
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42:42.080 --> 42:44.080
|
|
but overall I think
|
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42:44.080 --> 42:46.080
|
|
when we think about the next ten years here
|
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42:46.080 --> 42:48.080
|
|
of this long arc to try to empower the community
|
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42:48.080 --> 42:51.080
|
|
to be able to cure, prevent or manage all diseases
|
|
|
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42:51.080 --> 42:55.080
|
|
he's talking about running public health for ten years
|
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42:55.080 --> 43:00.080
|
|
because he's got a lot of money
|
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|
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43:00.080 --> 43:02.080
|
|
we think that the next ten years
|
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43:02.080 --> 43:04.080
|
|
should really be primarily about
|
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43:04.080 --> 43:06.080
|
|
being able to measure and observe more things in human biology
|
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|
|
43:06.080 --> 43:08.080
|
|
there are a lot of limits today
|
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43:08.080 --> 43:10.080
|
|
it's like you want to look at something through a microscope
|
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43:10.080 --> 43:12.080
|
|
you can't usually see living tissues
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43:12.080 --> 43:14.080
|
|
because it's hard to see through skin or things like that
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43:14.080 --> 43:16.080
|
|
so there are a lot of different techniques
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43:16.080 --> 43:18.080
|
|
that will help us observe different things
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|
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43:18.080 --> 43:20.080
|
|
and this is sort of where the engineering background
|
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|
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43:20.080 --> 43:22.080
|
|
comes in a bit because
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43:22.080 --> 43:24.080
|
|
when I think about this as from the perspective of
|
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43:24.080 --> 43:26.080
|
|
how you write code or something
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43:26.080 --> 43:28.080
|
|
the idea of trying to debug or fix a code base
|
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|
43:28.080 --> 43:30.080
|
|
but not be able to step through the code line by line
|
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|
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43:30.080 --> 43:32.080
|
|
it's not going to happen
|
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|
|
43:32.080 --> 43:34.080
|
|
at the beginning of any big project that we do
|
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|
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43:34.080 --> 43:36.080
|
|
that meta we like to spend a bunch of the time up front
|
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|
43:36.080 --> 43:38.080
|
|
just trying to instrument things and understand
|
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|
43:38.080 --> 43:40.080
|
|
what are we going to look at and how are we going to measure things
|
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|
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43:40.080 --> 43:42.080
|
|
so we know we're making progress and know what to optimize
|
|
|
|
43:42.080 --> 43:44.080
|
|
wait what you're building something for meta
|
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|
|
43:44.080 --> 43:46.080
|
|
and you want to know how you're going to measure things
|
|
|
|
43:46.080 --> 43:48.080
|
|
interesting
|
|
|
|
43:48.080 --> 43:50.080
|
|
this is such a long-term journey
|
|
|
|
43:50.080 --> 43:52.080
|
|
and we think that it actually makes sense to take the next 10 years
|
|
|
|
43:52.080 --> 43:56.080
|
|
to build those kind of tools for biology and understanding
|
|
|
|
43:56.080 --> 43:58.080
|
|
just how the human body works in action
|
|
|
|
43:58.080 --> 44:00.080
|
|
and a big part of that is cells
|
|
|
|
44:00.080 --> 44:02.080
|
|
do you want to jump in and talk or talk about some of the efforts?
|
|
|
|
44:02.080 --> 44:04.080
|
|
Could I interrupt briefly and just ask about
|
|
|
|
44:04.080 --> 44:08.080
|
|
the different interventions so to speak
|
|
|
|
44:08.080 --> 44:10.080
|
|
that CZI is in a unique position
|
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|
|
44:10.080 --> 44:13.080
|
|
to bring to the quest to cure all diseases
|
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|
|
44:13.080 --> 44:15.080
|
|
I can think of
|
|
|
|
44:15.080 --> 44:17.080
|
|
I know as a scientist that money is necessary
|
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|
|
44:17.080 --> 44:19.080
|
|
but not sufficient
|
|
|
|
44:19.080 --> 44:21.080
|
|
when you have money you can hire more people
|
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|
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44:21.080 --> 44:23.080
|
|
you can try different things so that's critical
|
|
|
|
44:23.080 --> 44:25.080
|
|
but a lot of philanthropy includes money
|
|
|
|
44:25.080 --> 44:27.080
|
|
the other component is
|
|
|
|
44:27.080 --> 44:29.080
|
|
you want to be able to see things as you pointed out
|
|
|
|
44:29.080 --> 44:31.080
|
|
so you want to know that normal disease process
|
|
|
|
44:31.080 --> 44:33.080
|
|
what is a healthy cell?
|
|
|
|
44:33.080 --> 44:35.080
|
|
what's a diseased cell?
|
|
|
|
44:35.080 --> 44:37.080
|
|
cells constantly being bombarded with challenges and then repairing those
|
|
|
|
44:37.080 --> 44:39.080
|
|
and then what we call cancer is just kind of run away
|
|
|
|
44:39.080 --> 44:41.080
|
|
train of those challenges not being met by the cell itself
|
|
|
|
44:41.080 --> 44:43.080
|
|
like that so better imaging tools
|
|
|
|
44:43.080 --> 44:45.080
|
|
and then it sounds like there's not just a hardware component
|
|
|
|
44:45.080 --> 44:47.080
|
|
but a software component
|
|
|
|
44:47.080 --> 44:49.080
|
|
this is where AI comes in
|
|
|
|
44:49.080 --> 44:51.080
|
|
so maybe we can break this up into three different avenues
|
|
|
|
44:51.080 --> 44:53.080
|
|
one is understanding disease processes
|
|
|
|
44:53.080 --> 44:55.080
|
|
and healthy processes will lump those together
|
|
|
|
44:55.080 --> 44:57.080
|
|
then there's hardware so microscopes, lenses
|
|
|
|
44:57.080 --> 44:59.080
|
|
digital deconvolution
|
|
|
|
44:59.080 --> 45:01.080
|
|
ways of seeing things in bolder relief
|
|
|
|
45:01.080 --> 45:03.080
|
|
and more precision
|
|
|
|
45:03.080 --> 45:05.080
|
|
and then there's how to manage all the data
|
|
|
|
45:05.080 --> 45:07.080
|
|
and then I love the idea that
|
|
|
|
45:07.080 --> 45:09.080
|
|
maybe AI could do what human brains can't do alone
|
|
|
|
45:09.080 --> 45:11.080
|
|
and manage understanding of the data
|
|
|
|
45:11.080 --> 45:13.080
|
|
because it's one thing to organize data
|
|
|
|
45:13.080 --> 45:15.080
|
|
it's another to say this as you point out on the analogy with code
|
|
|
|
45:15.080 --> 45:17.080
|
|
this particular gene and that particular gene
|
|
|
|
45:17.080 --> 45:19.080
|
|
are potentially interesting
|
|
|
|
45:19.080 --> 45:21.080
|
|
whereas a human being would never make that potential connection
|
|
|
|
45:21.080 --> 45:23.080
|
|
so you know the tools that's easy
|
|
|
|
45:23.080 --> 45:25.080
|
|
I can bring to the table
|
|
|
|
45:25.080 --> 45:27.080
|
|
we fund science like you're talking about
|
|
|
|
45:27.080 --> 45:29.080
|
|
and we try to
|
|
|
|
45:29.080 --> 45:31.080
|
|
there's lots of ways to fund science
|
|
|
|
45:31.080 --> 45:33.080
|
|
and just to be clear what we fund
|
|
|
|
45:33.080 --> 45:35.080
|
|
is a tiny fraction of what the NIH funds for instance
|
|
|
|
45:35.080 --> 45:37.080
|
|
you guys have been generous enough
|
|
|
|
45:37.080 --> 45:39.080
|
|
that it definitely holds weight
|
|
|
|
45:39.080 --> 45:41.080
|
|
to NIH's contribution
|
|
|
|
45:41.080 --> 45:43.080
|
|
but I think
|
|
|
|
45:43.080 --> 45:45.080
|
|
every funder has its own role in the ecosystem
|
|
|
|
45:45.080 --> 45:47.080
|
|
and for us it's really how do we incentivize
|
|
|
|
45:47.080 --> 45:49.080
|
|
new points of view, how do we incentivize collaboration
|
|
|
|
45:49.080 --> 45:51.080
|
|
how do we incentivize open science
|
|
|
|
45:51.080 --> 45:53.080
|
|
and so a lot of our grants
|
|
|
|
45:53.080 --> 45:55.080
|
|
include inviting people to look
|
|
|
|
45:55.080 --> 45:57.080
|
|
in look at different fields
|
|
|
|
45:57.080 --> 45:59.080
|
|
our first neuroscience RFA
|
|
|
|
45:59.080 --> 46:01.080
|
|
was aimed towards incentivizing
|
|
|
|
46:01.080 --> 46:03.080
|
|
people from different backgrounds
|
|
|
|
46:03.080 --> 46:05.080
|
|
immunologists, microbiologists
|
|
|
|
46:05.080 --> 46:07.080
|
|
and look at how our nervous system works
|
|
|
|
46:07.080 --> 46:09.080
|
|
and how to keep it healthy
|
|
|
|
46:09.080 --> 46:11.080
|
|
or we ask that our grantees
|
|
|
|
46:11.080 --> 46:13.080
|
|
participate in the pre-print movement
|
|
|
|
46:13.080 --> 46:15.080
|
|
to accelerate the rate of sharing knowledge
|
|
|
|
46:15.080 --> 46:17.080
|
|
and actually others being able to build upon science
|
|
|
|
46:17.080 --> 46:19.080
|
|
so that's the funding that we do
|
|
|
|
46:19.080 --> 46:21.080
|
|
in terms of building
|
|
|
|
46:21.080 --> 46:23.080
|
|
we build software
|
|
|
|
46:23.080 --> 46:25.080
|
|
so they said pre-print servers
|
|
|
|
46:25.080 --> 46:27.080
|
|
I would argue that pre-print servers came out
|
|
|
|
46:27.080 --> 46:31.080
|
|
very unfortunately right at the beginning of the pandemic
|
|
|
|
46:31.080 --> 46:33.080
|
|
or right before it
|
|
|
|
46:33.080 --> 46:35.080
|
|
and it enabled
|
|
|
|
46:35.080 --> 46:37.080
|
|
an opportunity
|
|
|
|
46:37.080 --> 46:39.080
|
|
for misinformation
|
|
|
|
46:39.080 --> 46:41.080
|
|
to occur at the systemic level
|
|
|
|
46:41.080 --> 46:45.080
|
|
so for fake papers to come out
|
|
|
|
46:45.080 --> 46:49.080
|
|
for papers to be
|
|
|
|
46:49.080 --> 46:51.080
|
|
publicized through censorship
|
|
|
|
46:51.080 --> 46:53.080
|
|
or cancellation
|
|
|
|
46:53.080 --> 46:55.080
|
|
and ideas to be perpetuated
|
|
|
|
46:55.080 --> 46:57.080
|
|
through these same mechanisms
|
|
|
|
46:57.080 --> 47:01.080
|
|
and that was unfortunately really bad
|
|
|
|
47:01.080 --> 47:03.080
|
|
during the first half of the pandemic
|
|
|
|
47:03.080 --> 47:05.080
|
|
so they're directly responsible
|
|
|
|
47:05.080 --> 47:07.080
|
|
for that
|
|
|
|
47:07.080 --> 47:09.080
|
|
and you could even argue that they may have been
|
|
|
|
47:09.080 --> 47:11.080
|
|
tasked with that
|
|
|
|
47:11.080 --> 47:13.080
|
|
as part of their role
|
|
|
|
47:13.080 --> 47:15.080
|
|
in the pandemic
|
|
|
|
47:15.080 --> 47:17.080
|
|
and hardware, like you mentioned
|
|
|
|
47:17.080 --> 47:19.080
|
|
we put together teams that
|
|
|
|
47:19.080 --> 47:21.080
|
|
can build tools that are more
|
|
|
|
47:21.080 --> 47:23.080
|
|
durable and scalable
|
|
|
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47:23.080 --> 47:25.080
|
|
than someone in a single lab might be incentivized
|
|
|
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47:25.080 --> 47:27.080
|
|
so we put together teams
|
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47:27.080 --> 47:29.080
|
|
that can build tools that are
|
|
|
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47:29.080 --> 47:31.080
|
|
more durable and what?
|
|
|
|
47:31.080 --> 47:33.080
|
|
I mean these are just all buzzwords
|
|
|
|
47:33.080 --> 47:35.080
|
|
they're words that don't mean anything
|
|
|
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47:35.080 --> 47:37.080
|
|
in the context of
|
|
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47:37.080 --> 47:39.080
|
|
how microscopes are
|
|
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47:39.080 --> 47:41.080
|
|
too photon scanning technology
|
|
|
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47:41.080 --> 47:45.080
|
|
or nano dies or anything like that
|
|
|
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47:45.080 --> 47:47.080
|
|
she's just
|
|
|
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47:47.080 --> 47:49.080
|
|
yappy yappin
|
|
|
|
47:49.080 --> 47:52.080
|
|
and again who is this person?
|
|
|
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47:52.080 --> 47:53.080
|
|
just a doctor?
|
|
|
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47:53.080 --> 47:55.080
|
|
married to a rich guy?
|
|
|
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47:55.080 --> 47:57.080
|
|
I mean this might as well be
|
|
|
|
47:57.080 --> 48:00.080
|
|
the woman of Elon Musk
|
|
|
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48:00.080 --> 48:03.080
|
|
or the wife of Bill Gates
|
|
|
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48:03.080 --> 48:05.080
|
|
like really why do I need to listen
|
|
|
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48:05.080 --> 48:07.080
|
|
to her about science?
|
|
|
|
48:07.080 --> 48:09.080
|
|
what makes her an authority
|
|
|
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48:09.080 --> 48:11.080
|
|
other than the fact that she's
|
|
|
|
48:11.080 --> 48:13.080
|
|
married to a rich guy?
|
|
|
|
48:13.080 --> 48:15.080
|
|
there's lots of doctors in the world
|
|
|
|
48:15.080 --> 48:17.080
|
|
that have given their entire life
|
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48:17.080 --> 48:19.080
|
|
to public health to
|
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|
|
48:19.080 --> 48:21.080
|
|
solving a problem
|
|
|
|
48:21.080 --> 48:23.080
|
|
or curing a disease
|
|
|
|
48:23.080 --> 48:25.080
|
|
this is not that person
|
|
|
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48:26.080 --> 48:28.080
|
|
and yet somehow we are being made
|
|
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|
48:28.080 --> 48:29.080
|
|
to believe that this is a person
|
|
|
|
48:29.080 --> 48:30.080
|
|
we should look up to
|
|
|
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48:30.080 --> 48:32.080
|
|
look for leadership
|
|
|
|
48:35.080 --> 48:37.080
|
|
we are under attack ladies and gentlemen
|
|
|
|
48:40.080 --> 48:42.080
|
|
there's a ton of great ideas
|
|
|
|
48:42.080 --> 48:44.080
|
|
and nowadays most scientists can
|
|
|
|
48:44.080 --> 48:45.080
|
|
tinker and build something
|
|
|
|
48:45.080 --> 48:46.080
|
|
useful for their lab
|
|
|
|
48:46.080 --> 48:48.080
|
|
but it's really hard for them
|
|
|
|
48:48.080 --> 48:49.080
|
|
to be able to share
|
|
|
|
48:49.080 --> 48:51.080
|
|
that tool sometimes beyond their own laptop
|
|
|
|
48:51.080 --> 48:53.080
|
|
or forget the next lab
|
|
|
|
48:53.080 --> 48:55.080
|
|
over or across the globe
|
|
|
|
48:55.080 --> 48:56.080
|
|
so we partner with scientists
|
|
|
|
48:56.080 --> 48:58.080
|
|
to see what is useful
|
|
|
|
48:58.080 --> 48:59.080
|
|
what kinds of tools
|
|
|
|
48:59.080 --> 49:01.080
|
|
in imaging Nepari
|
|
|
|
49:01.080 --> 49:03.080
|
|
it's a useful image annotation tool
|
|
|
|
49:03.080 --> 49:06.080
|
|
that is born from an open source community
|
|
|
|
49:06.080 --> 49:08.080
|
|
and how can we contribute to that?
|
|
|
|
49:08.080 --> 49:10.080
|
|
or a cell by gene
|
|
|
|
49:10.080 --> 49:12.080
|
|
which works on single cell data sets
|
|
|
|
49:12.080 --> 49:14.080
|
|
and how can we build a useful tool
|
|
|
|
49:14.080 --> 49:16.080
|
|
so that scientists can share data sets
|
|
|
|
49:16.080 --> 49:17.080
|
|
analyze their own
|
|
|
|
49:17.080 --> 49:18.080
|
|
and contribute to a larger
|
|
|
|
49:18.080 --> 49:20.080
|
|
corpus of information
|
|
|
|
49:20.080 --> 49:22.080
|
|
so we have software teams
|
|
|
|
49:22.080 --> 49:24.080
|
|
we are building, collaborating with scientists
|
|
|
|
49:24.080 --> 49:26.080
|
|
to make sure that we are building
|
|
|
|
49:26.080 --> 49:28.080
|
|
easy to use durable, translatable tools
|
|
|
|
49:28.080 --> 49:30.080
|
|
across the scientific community
|
|
|
|
49:30.080 --> 49:32.080
|
|
you got to refresh if you don't have sound
|
|
|
|
49:32.080 --> 49:33.080
|
|
we also have institutes
|
|
|
|
49:33.080 --> 49:35.080
|
|
this is where the imaging work comes in
|
|
|
|
49:35.080 --> 49:37.080
|
|
where we are proud owners
|
|
|
|
49:37.080 --> 49:39.080
|
|
of electron microscope right now
|
|
|
|
49:39.080 --> 49:41.080
|
|
it's going to be installed
|
|
|
|
49:41.080 --> 49:43.080
|
|
at our imaging institute
|
|
|
|
49:43.080 --> 49:44.080
|
|
and that will really contribute
|
|
|
|
49:44.080 --> 49:46.080
|
|
to a way where we can see work differently
|
|
|
|
49:46.080 --> 49:48.080
|
|
but the more hardware
|
|
|
|
49:48.080 --> 49:49.080
|
|
does need to be developed
|
|
|
|
49:49.080 --> 49:50.080
|
|
we are partnering
|
|
|
|
49:50.080 --> 49:52.080
|
|
with fantastic scientists
|
|
|
|
49:52.080 --> 49:54.080
|
|
in the biohub network
|
|
|
|
49:54.080 --> 49:56.080
|
|
to build a mini phase plate
|
|
|
|
49:56.080 --> 49:58.080
|
|
to increase, to align the electrons
|
|
|
|
49:58.080 --> 50:01.080
|
|
through these, through the electron microscope
|
|
|
|
50:01.080 --> 50:03.080
|
|
to be able to increase the resolution
|
|
|
|
50:03.080 --> 50:05.080
|
|
so we can see in sharper detail
|
|
|
|
50:05.080 --> 50:07.080
|
|
so there's a lot of innovative work
|
|
|
|
50:07.080 --> 50:09.080
|
|
within the network that's happening
|
|
|
|
50:09.080 --> 50:12.080
|
|
as if that kind of innovation
|
|
|
|
50:12.080 --> 50:14.080
|
|
is unique to their little pile of money
|
|
|
|
50:14.080 --> 50:17.080
|
|
she sounds like an ignorant little brat
|
|
|
|
50:17.080 --> 50:19.080
|
|
ooh we have an electron microscope
|
|
|
|
50:19.080 --> 50:21.080
|
|
oh and we're making a phase plate
|
|
|
|
50:21.080 --> 50:23.080
|
|
so it'll focus the electrons better
|
|
|
|
50:23.080 --> 50:24.080
|
|
we get higher results
|
|
|
|
50:24.080 --> 50:26.080
|
|
like she's some kind of polymath
|
|
|
|
50:26.080 --> 50:29.080
|
|
physicist, chemist, electron microscopist
|
|
|
|
50:31.080 --> 50:33.080
|
|
we are being bamboozled
|
|
|
|
50:33.080 --> 50:34.080
|
|
actively bamboozled
|
|
|
|
50:34.080 --> 50:37.080
|
|
by rich people who prepare big speeches
|
|
|
|
50:37.080 --> 50:39.080
|
|
to talk big tough things
|
|
|
|
50:41.080 --> 50:43.080
|
|
this is a scam
|
|
|
|
50:43.080 --> 50:45.080
|
|
we are being actively
|
|
|
|
50:45.080 --> 50:47.080
|
|
actively
|
|
|
|
50:47.080 --> 50:49.080
|
|
controlled, demolished
|
|
|
|
50:49.080 --> 50:51.080
|
|
our whole country is being destroyed
|
|
|
|
50:51.080 --> 50:53.080
|
|
by these people
|
|
|
|
50:53.080 --> 50:55.080
|
|
by his app, by her money
|
|
|
|
50:55.080 --> 50:58.080
|
|
and by this guy's complacency
|
|
|
|
50:58.080 --> 51:01.080
|
|
this is one of those academic biologists
|
|
|
|
51:01.080 --> 51:03.080
|
|
right here who should
|
|
|
|
51:03.080 --> 51:05.080
|
|
damn well known better
|
|
|
|
51:05.080 --> 51:07.080
|
|
that transfection is not immunization
|
|
|
|
51:07.080 --> 51:09.080
|
|
and although I respect him
|
|
|
|
51:09.080 --> 51:11.080
|
|
as a neurobiologist
|
|
|
|
51:11.080 --> 51:13.080
|
|
if we came to this discussion
|
|
|
|
51:13.080 --> 51:15.080
|
|
I would say that to his face in a heartbeat
|
|
|
|
51:15.080 --> 51:17.080
|
|
and I guarantee you
|
|
|
|
51:17.080 --> 51:19.080
|
|
that even with a whiteboard
|
|
|
|
51:19.080 --> 51:21.080
|
|
between us he would not win
|
|
|
|
51:21.080 --> 51:23.080
|
|
that conversation
|
|
|
|
51:23.080 --> 51:25.080
|
|
he probably knows more about
|
|
|
|
51:25.080 --> 51:27.080
|
|
the visual system than me
|
|
|
|
51:27.080 --> 51:28.080
|
|
I have no doubt
|
|
|
|
51:28.080 --> 51:29.080
|
|
he probably knows more about
|
|
|
|
51:29.080 --> 51:31.080
|
|
most of the brain than I do
|
|
|
|
51:31.080 --> 51:33.080
|
|
but immunology I got him in spades
|
|
|
|
51:33.080 --> 51:37.080
|
|
and these people are posers
|
|
|
|
51:37.080 --> 51:39.080
|
|
institutes have grand challenges
|
|
|
|
51:39.080 --> 51:41.080
|
|
that they're working on
|
|
|
|
51:41.080 --> 51:43.080
|
|
back to your question about cells
|
|
|
|
51:43.080 --> 51:45.080
|
|
cells are just the smallest
|
|
|
|
51:45.080 --> 51:47.080
|
|
unit that are alive
|
|
|
|
51:47.080 --> 51:49.080
|
|
and are your body
|
|
|
|
51:49.080 --> 51:51.080
|
|
all of our bodies have many many many cells
|
|
|
|
51:51.080 --> 51:53.080
|
|
there's some estimate of like
|
|
|
|
51:53.080 --> 51:55.080
|
|
37 trillion cells
|
|
|
|
51:55.080 --> 51:57.080
|
|
different cells in your body
|
|
|
|
51:57.080 --> 51:59.080
|
|
and what are they all doing
|
|
|
|
51:59.080 --> 52:01.080
|
|
and what do they look like when they're healthy
|
|
|
|
52:01.080 --> 52:03.080
|
|
what do they look like when you're sick
|
|
|
|
52:03.080 --> 52:05.080
|
|
and where we're at right now
|
|
|
|
52:05.080 --> 52:07.080
|
|
our understanding of cells
|
|
|
|
52:07.080 --> 52:09.080
|
|
and what happens when you get sick
|
|
|
|
52:09.080 --> 52:11.080
|
|
basically we have we've gotten pretty good
|
|
|
|
52:11.080 --> 52:13.080
|
|
at from the human genome project
|
|
|
|
52:13.080 --> 52:15.080
|
|
looking at how different mutations
|
|
|
|
52:15.080 --> 52:17.080
|
|
in your genetic code lead for you
|
|
|
|
52:17.080 --> 52:19.080
|
|
to be more susceptible to get sick
|
|
|
|
52:19.080 --> 52:21.080
|
|
or directly cause you to get sick
|
|
|
|
52:21.080 --> 52:23.080
|
|
so we go from a mutation in your DNA
|
|
|
|
52:23.080 --> 52:25.080
|
|
to wow you now have Huntington's disease
|
|
|
|
52:25.080 --> 52:27.080
|
|
for instance
|
|
|
|
52:27.080 --> 52:29.080
|
|
and there's a lot that happens in the middle
|
|
|
|
52:29.080 --> 52:31.080
|
|
and that's one of the questions
|
|
|
|
52:31.080 --> 52:33.080
|
|
that we're going after at CZI
|
|
|
|
52:33.080 --> 52:35.080
|
|
is what actually happens
|
|
|
|
52:35.080 --> 52:37.080
|
|
so an analogy that I like to use to share
|
|
|
|
52:37.080 --> 52:39.080
|
|
right now say we have a recipe for a cake
|
|
|
|
52:39.080 --> 52:41.080
|
|
we know there's a typo in the recipe
|
|
|
|
52:41.080 --> 52:43.080
|
|
and then the cake is awful
|
|
|
|
52:43.080 --> 52:45.080
|
|
that's all we know
|
|
|
|
52:45.080 --> 52:47.080
|
|
we don't know how the chef interprets the typo
|
|
|
|
52:47.080 --> 52:49.080
|
|
we don't know what happens in the oven
|
|
|
|
52:49.080 --> 52:51.080
|
|
and we don't actually know sort of how it's
|
|
|
|
52:51.080 --> 52:53.080
|
|
exactly connected to how the cake didn't turn out
|
|
|
|
52:53.080 --> 52:55.080
|
|
how you had expected
|
|
|
|
52:55.080 --> 52:57.080
|
|
a lot of that is unknown
|
|
|
|
52:57.080 --> 52:59.080
|
|
but we can actually systematically
|
|
|
|
52:59.080 --> 53:01.080
|
|
try to break this down
|
|
|
|
53:01.080 --> 53:03.080
|
|
so you want me to kick the shit out of that analogy
|
|
|
|
53:03.080 --> 53:05.080
|
|
I'm sorry I'm swearing
|
|
|
|
53:05.080 --> 53:07.080
|
|
but I'm getting really annoyed
|
|
|
|
53:07.080 --> 53:09.080
|
|
so she says that
|
|
|
|
53:09.080 --> 53:11.080
|
|
they have a recipe with a typo in it
|
|
|
|
53:11.080 --> 53:13.080
|
|
and the cake doesn't turn out right
|
|
|
|
53:13.080 --> 53:15.080
|
|
so they don't know really why that happens
|
|
|
|
53:15.080 --> 53:17.080
|
|
but they got to figure it out
|
|
|
|
53:17.080 --> 53:25.080
|
|
we don't know how the chef interprets the error
|
|
|
|
53:25.080 --> 53:33.080
|
|
it's very very frustrating
|
|
|
|
53:33.080 --> 53:35.080
|
|
ladies and gentlemen because again
|
|
|
|
53:35.080 --> 53:37.080
|
|
we have somebody making
|
|
|
|
53:37.080 --> 53:41.080
|
|
the pattern integrity of a human
|
|
|
|
53:41.080 --> 53:45.080
|
|
into something as dumb simple
|
|
|
|
53:45.080 --> 53:47.080
|
|
as baking a cake
|
|
|
|
53:47.080 --> 53:51.080
|
|
so we're not even talking about the production of a protein
|
|
|
|
53:51.080 --> 53:53.080
|
|
right
|
|
|
|
53:53.080 --> 53:57.080
|
|
we're talking about a diseased
|
|
|
|
53:57.080 --> 54:01.080
|
|
human and some genetic correlations
|
|
|
|
54:01.080 --> 54:05.080
|
|
silent mutations lead to disease
|
|
|
|
54:05.080 --> 54:09.080
|
|
we don't understand how they do that
|
|
|
|
54:09.080 --> 54:13.080
|
|
some mutations in proteins don't cause a detectable disease
|
|
|
|
54:13.080 --> 54:15.080
|
|
we don't know why
|
|
|
|
54:15.080 --> 54:19.080
|
|
and so we start with these dumb simple
|
|
|
|
54:19.080 --> 54:21.080
|
|
analogies because that's how you write a grant
|
|
|
|
54:21.080 --> 54:23.080
|
|
that's how
|
|
|
|
54:23.080 --> 54:25.080
|
|
how Huberman is used to thinking
|
|
|
|
54:25.080 --> 54:27.080
|
|
but that only gets you so far
|
|
|
|
54:27.080 --> 54:29.080
|
|
and it has only gotten us so far
|
|
|
|
54:29.080 --> 54:31.080
|
|
for a very very long time
|
|
|
|
54:31.080 --> 54:33.080
|
|
and in fact why we are hitting the wall
|
|
|
|
54:33.080 --> 54:37.080
|
|
is because those kinds of dumb simple
|
|
|
|
54:37.080 --> 54:41.080
|
|
analogies and
|
|
|
|
54:41.080 --> 54:43.080
|
|
extracting experimental questions
|
|
|
|
54:43.080 --> 54:47.080
|
|
based on those dumb simple analogies
|
|
|
|
54:47.080 --> 54:49.080
|
|
will never penetrate
|
|
|
|
54:49.080 --> 54:51.080
|
|
the actual complexity of life
|
|
|
|
54:51.080 --> 54:53.080
|
|
that you're trying to penetrate
|
|
|
|
54:53.080 --> 54:57.080
|
|
but that's not the point here
|
|
|
|
54:57.080 --> 54:59.080
|
|
the point is to bamboozle people
|
|
|
|
54:59.080 --> 55:01.080
|
|
into believing that this is an
|
|
|
|
55:01.080 --> 55:03.080
|
|
inevitable
|
|
|
|
55:03.080 --> 55:05.080
|
|
over the next hill all of these
|
|
|
|
55:05.080 --> 55:07.080
|
|
things are going to be known
|
|
|
|
55:07.080 --> 55:09.080
|
|
we barely know how any of these cells
|
|
|
|
55:09.080 --> 55:11.080
|
|
in the body work but you know we can do it
|
|
|
|
55:11.080 --> 55:15.080
|
|
we just have to keep driving over that hill
|
|
|
|
55:17.080 --> 55:19.080
|
|
and one segment of that journey
|
|
|
|
55:19.080 --> 55:21.080
|
|
that we're looking at is how that mutation
|
|
|
|
55:21.080 --> 55:23.080
|
|
gets translated and acted upon in
|
|
|
|
55:23.080 --> 55:25.080
|
|
your cells and all of your cells
|
|
|
|
55:25.080 --> 55:27.080
|
|
have what's called mRNA
|
|
|
|
55:27.080 --> 55:29.080
|
|
mRNA are the actual instructions
|
|
|
|
55:29.080 --> 55:31.080
|
|
that are taken from the DNA
|
|
|
|
55:31.080 --> 55:33.080
|
|
and what our work in single cell is
|
|
|
|
55:33.080 --> 55:35.080
|
|
looking at how
|
|
|
|
55:35.080 --> 55:37.080
|
|
every cell in your body is actually
|
|
|
|
55:37.080 --> 55:39.080
|
|
interpreting your DNA slightly differently
|
|
|
|
55:39.080 --> 55:41.080
|
|
and what happens
|
|
|
|
55:41.080 --> 55:43.080
|
|
when healthy cells are interpreting the DNA instructions
|
|
|
|
55:43.080 --> 55:45.080
|
|
and when sick cells are interpreting those directions
|
|
|
|
55:45.080 --> 55:47.080
|
|
basically what she's talking about
|
|
|
|
55:47.080 --> 55:49.080
|
|
is trying to kind of describe
|
|
|
|
55:49.080 --> 55:51.080
|
|
the complexity of life
|
|
|
|
55:51.080 --> 55:53.080
|
|
to the extent to which she can claim
|
|
|
|
55:53.080 --> 55:55.080
|
|
she wants to investigate
|
|
|
|
55:57.080 --> 55:59.080
|
|
it would be a bit like the guy that Mark covered
|
|
|
|
55:59.080 --> 56:01.080
|
|
a few weeks ago that did all the ribosome work
|
|
|
|
56:01.080 --> 56:03.080
|
|
for him to
|
|
|
|
56:03.080 --> 56:05.080
|
|
really beautifully explain how
|
|
|
|
56:05.080 --> 56:07.080
|
|
complicated ribosomes are and how
|
|
|
|
56:07.080 --> 56:09.080
|
|
little we understand them and then saying
|
|
|
|
56:09.080 --> 56:11.080
|
|
that's why he dedicated his life to that work
|
|
|
|
56:11.080 --> 56:13.080
|
|
did he solve it?
|
|
|
|
56:13.080 --> 56:15.080
|
|
no did he say he was going to solve it?
|
|
|
|
56:15.080 --> 56:17.080
|
|
no
|
|
|
|
56:17.080 --> 56:19.080
|
|
he picked little pieces of it and tried to push
|
|
|
|
56:19.080 --> 56:21.080
|
|
the ball forward for his entire life
|
|
|
|
56:21.080 --> 56:23.080
|
|
got a Nobel Prize and still doesn't know how
|
|
|
|
56:23.080 --> 56:25.080
|
|
the frickin hell a ribosome works
|
|
|
|
56:25.080 --> 56:27.080
|
|
or how proteins fold or anything like that
|
|
|
|
56:29.080 --> 56:31.080
|
|
and so she's doing an even dumber
|
|
|
|
56:31.080 --> 56:33.080
|
|
simple cartoon
|
|
|
|
56:33.080 --> 56:35.080
|
|
to try and show you that
|
|
|
|
56:35.080 --> 56:37.080
|
|
she can appreciate the complexity of life
|
|
|
|
56:37.080 --> 56:39.080
|
|
by
|
|
|
|
56:39.080 --> 56:41.080
|
|
inadequately articulating it
|
|
|
|
56:41.080 --> 56:43.080
|
|
and then just going to pivot to claiming
|
|
|
|
56:43.080 --> 56:45.080
|
|
that that
|
|
|
|
56:45.080 --> 56:47.080
|
|
inadequate articulation of what a pattern integrity
|
|
|
|
56:47.080 --> 56:49.080
|
|
is in a human being
|
|
|
|
56:49.080 --> 56:51.080
|
|
is licensed for her to say
|
|
|
|
56:51.080 --> 56:53.080
|
|
that she's going to give money to people
|
|
|
|
56:53.080 --> 56:55.080
|
|
so that they can figure out how it works
|
|
|
|
56:55.080 --> 56:57.080
|
|
that we're going to collect enough data
|
|
|
|
56:57.080 --> 56:59.080
|
|
so we can figure out how it works
|
|
|
|
57:01.080 --> 57:03.080
|
|
I'm just going to tell you right now
|
|
|
|
57:03.080 --> 57:05.080
|
|
these people are liars
|
|
|
|
57:05.080 --> 57:07.080
|
|
it's not even bullshitting
|
|
|
|
57:07.080 --> 57:09.080
|
|
it's just lying
|
|
|
|
57:09.080 --> 57:11.080
|
|
you know you're lying
|
|
|
|
57:11.080 --> 57:13.080
|
|
none of they don't believe anything they're saying
|
|
|
|
57:13.080 --> 57:15.080
|
|
and if they do they haven't really
|
|
|
|
57:15.080 --> 57:17.080
|
|
thought about it very long
|
|
|
|
57:17.080 --> 57:19.080
|
|
they're not very smart people
|
|
|
|
57:19.080 --> 57:21.080
|
|
and this
|
|
|
|
57:23.080 --> 57:25.080
|
|
this fake enthusiasm for the inevitability
|
|
|
|
57:25.080 --> 57:27.080
|
|
of transhumanism
|
|
|
|
57:27.080 --> 57:29.080
|
|
being able to collect enough data to understand
|
|
|
|
57:29.080 --> 57:31.080
|
|
and then remodel
|
|
|
|
57:31.080 --> 57:33.080
|
|
the human genome
|
|
|
|
57:33.080 --> 57:35.080
|
|
it's just a lack of reverence
|
|
|
|
57:35.080 --> 57:39.080
|
|
for the sacred that deserves punishment
|
|
|
|
57:41.080 --> 57:43.080
|
|
I really wish that these
|
|
|
|
57:43.080 --> 57:45.080
|
|
guys were on my basketball team or something
|
|
|
|
57:45.080 --> 57:47.080
|
|
and I could just make them go to the baseline
|
|
|
|
57:47.080 --> 57:49.080
|
|
and start running
|
|
|
|
57:49.080 --> 57:51.080
|
|
because it's just dumb
|
|
|
|
57:51.080 --> 57:53.080
|
|
and that is a ton of data
|
|
|
|
57:53.080 --> 57:55.080
|
|
I just told you there's 37 trillion cells
|
|
|
|
57:55.080 --> 57:57.080
|
|
there's different large
|
|
|
|
57:57.080 --> 57:59.080
|
|
sets of mRNA in each cell
|
|
|
|
57:59.080 --> 58:01.080
|
|
but the work that we've been funding is
|
|
|
|
58:01.080 --> 58:03.080
|
|
looking at how first of all
|
|
|
|
58:03.080 --> 58:05.080
|
|
gathering that information
|
|
|
|
58:05.080 --> 58:07.080
|
|
we've been incredibly lucky
|
|
|
|
58:07.080 --> 58:09.080
|
|
to be part of a very fast-moving
|
|
|
|
58:09.080 --> 58:11.080
|
|
field where
|
|
|
|
58:11.080 --> 58:13.080
|
|
we've gone from in 2017
|
|
|
|
58:13.080 --> 58:15.080
|
|
funding some methods work
|
|
|
|
58:15.080 --> 58:17.080
|
|
to now having really not complete
|
|
|
|
58:17.080 --> 58:19.080
|
|
but nearly complete atlases
|
|
|
|
58:19.080 --> 58:21.080
|
|
of how the human body works
|
|
|
|
58:21.080 --> 58:23.080
|
|
how flies work
|
|
|
|
58:23.080 --> 58:25.080
|
|
not complete but nearly complete atlases
|
|
|
|
58:25.080 --> 58:27.080
|
|
on how the fly works
|
|
|
|
58:27.080 --> 58:29.080
|
|
and the human body works
|
|
|
|
58:29.080 --> 58:31.080
|
|
what kind of stupid statement
|
|
|
|
58:31.080 --> 58:33.080
|
|
is that
|
|
|
|
58:33.080 --> 58:35.080
|
|
I mean seriously what kind of stupid
|
|
|
|
58:35.080 --> 58:37.080
|
|
statement is that
|
|
|
|
58:37.080 --> 58:39.080
|
|
this is the kind of arrogance
|
|
|
|
58:39.080 --> 58:41.080
|
|
that I'm talking about
|
|
|
|
58:41.080 --> 58:43.080
|
|
the complete lack of reverence
|
|
|
|
58:43.080 --> 58:45.080
|
|
for the biology they're studying
|
|
|
|
58:45.080 --> 58:47.080
|
|
it is absolutely disgusting
|
|
|
|
58:47.080 --> 58:49.080
|
|
it borders on blasphemy
|
|
|
|
58:49.080 --> 58:51.080
|
|
we've gone from in 2017
|
|
|
|
58:51.080 --> 58:53.080
|
|
funding some methods work
|
|
|
|
58:53.080 --> 58:55.080
|
|
to now having really
|
|
|
|
58:55.080 --> 58:57.080
|
|
not complete but nearly complete
|
|
|
|
58:57.080 --> 58:59.080
|
|
atlases of how the human body works
|
|
|
|
58:59.080 --> 59:01.080
|
|
how flies work
|
|
|
|
59:01.080 --> 59:03.080
|
|
how mice work
|
|
|
|
59:03.080 --> 59:05.080
|
|
at the single cell level
|
|
|
|
59:05.080 --> 59:07.080
|
|
and being able to then try to piece together
|
|
|
|
59:07.080 --> 59:09.080
|
|
and the neat thing about
|
|
|
|
59:09.080 --> 59:11.080
|
|
the sort of inflection point
|
|
|
|
59:11.080 --> 59:13.080
|
|
where we're at in AI
|
|
|
|
59:13.080 --> 59:15.080
|
|
is that I can't look at this data
|
|
|
|
59:15.080 --> 59:17.080
|
|
and make sense of it
|
|
|
|
59:17.080 --> 59:19.080
|
|
there's just too much of it
|
|
|
|
59:19.080 --> 59:21.080
|
|
and biology is complex
|
|
|
|
59:21.080 --> 59:23.080
|
|
human bodies are complex
|
|
|
|
59:23.080 --> 59:25.080
|
|
we need this much information
|
|
|
|
59:25.080 --> 59:27.080
|
|
but the use of large language models
|
|
|
|
59:27.080 --> 59:29.080
|
|
can help us actually
|
|
|
|
59:29.080 --> 59:31.080
|
|
look at that data and gain insights
|
|
|
|
59:31.080 --> 59:33.080
|
|
look at what trends are
|
|
|
|
59:33.080 --> 59:35.080
|
|
consistent with health
|
|
|
|
59:35.080 --> 59:37.080
|
|
understand patterns and genomes
|
|
|
|
59:37.080 --> 59:39.080
|
|
and what's consistent with disease
|
|
|
|
59:39.080 --> 59:41.080
|
|
and what's consistent with health
|
|
|
|
59:45.080 --> 59:47.080
|
|
I'm suspected
|
|
|
|
59:47.080 --> 59:49.080
|
|
and eventually our hope
|
|
|
|
59:49.080 --> 59:51.080
|
|
through the use of these data sets
|
|
|
|
59:51.080 --> 59:53.080
|
|
that we've helped curate in the application
|
|
|
|
59:53.080 --> 59:55.080
|
|
of large language models
|
|
|
|
59:55.080 --> 59:57.080
|
|
is to be able to formulate a virtual cell
|
|
|
|
59:57.080 --> 59:59.080
|
|
a cell that's completely
|
|
|
|
59:59.080 --> 01:00:01.080
|
|
built off of the data sets of what we know about the human body
|
|
|
|
01:00:01.080 --> 01:00:03.080
|
|
maybe you can use that virtual cell
|
|
|
|
01:00:03.080 --> 01:00:05.080
|
|
and then you can put on goggles
|
|
|
|
01:00:05.080 --> 01:00:07.080
|
|
and go do that shit forever
|
|
|
|
01:00:07.080 --> 01:00:09.080
|
|
just do your experiments all in your virtual cells
|
|
|
|
01:00:09.080 --> 01:00:11.080
|
|
and you can never talk to us again
|
|
|
|
01:00:11.080 --> 01:00:15.080
|
|
but allows us to manipulate and learn faster
|
|
|
|
01:00:15.080 --> 01:00:17.080
|
|
and try new things to help move science
|
|
|
|
01:00:17.080 --> 01:00:19.080
|
|
and then medicine alone
|
|
|
|
01:00:19.080 --> 01:00:21.080
|
|
do you think we've cataloged
|
|
|
|
01:00:21.080 --> 01:00:23.080
|
|
the total thing?
|
|
|
|
01:00:23.080 --> 01:00:25.080
|
|
think about how dumb that is
|
|
|
|
01:00:25.080 --> 01:00:27.080
|
|
we're going to make a model of a virtual cell
|
|
|
|
01:00:27.080 --> 01:00:29.080
|
|
that will allow us to do things
|
|
|
|
01:00:29.080 --> 01:00:31.080
|
|
that normal cells wouldn't
|
|
|
|
01:00:31.080 --> 01:00:33.080
|
|
you're going to make a MATLAB version of a cell
|
|
|
|
01:00:33.080 --> 01:00:37.080
|
|
that's going to give you some insight into how to manipulate cell function
|
|
|
|
01:00:37.080 --> 01:00:39.080
|
|
why don't you just make a model of the weather
|
|
|
|
01:00:39.080 --> 01:00:41.080
|
|
so that we can know what the weather is going to be tomorrow
|
|
|
|
01:00:41.080 --> 01:00:43.080
|
|
why don't you make a model of a pandemic
|
|
|
|
01:00:43.080 --> 01:00:45.080
|
|
so we know how many people are going to die
|
|
|
|
01:00:45.080 --> 01:00:49.080
|
|
make some models about what happens
|
|
|
|
01:00:49.080 --> 01:00:51.080
|
|
when people stop vaccinating
|
|
|
|
01:00:51.080 --> 01:00:53.080
|
|
maybe you can make some models
|
|
|
|
01:00:53.080 --> 01:00:55.080
|
|
about what happens when you
|
|
|
|
01:00:55.080 --> 01:00:57.080
|
|
put certain Facebook posts
|
|
|
|
01:00:57.080 --> 01:00:59.080
|
|
in front of certain people's faces
|
|
|
|
01:00:59.080 --> 01:01:03.080
|
|
and how many negative Trump Facebook posts
|
|
|
|
01:01:03.080 --> 01:01:05.080
|
|
would you have to put in front of Democrats
|
|
|
|
01:01:05.080 --> 01:01:07.080
|
|
registered Democrats' faces
|
|
|
|
01:01:07.080 --> 01:01:09.080
|
|
before there would be a civil war
|
|
|
|
01:01:09.080 --> 01:01:11.080
|
|
why don't you measure something useful
|
|
|
|
01:01:11.080 --> 01:01:13.080
|
|
with the data that you have
|
|
|
|
01:01:13.080 --> 01:01:17.080
|
|
these are charlatan liars
|
|
|
|
01:01:17.080 --> 01:01:19.080
|
|
charlatan liars at the highest
|
|
|
|
01:01:19.080 --> 01:01:21.080
|
|
absolute highest echelons
|
|
|
|
01:01:21.080 --> 01:01:25.080
|
|
of our visible social structure
|
|
|
|
01:01:25.080 --> 01:01:27.080
|
|
and I say that very
|
|
|
|
01:01:27.080 --> 01:01:29.080
|
|
specifically our visual
|
|
|
|
01:01:29.080 --> 01:01:31.080
|
|
visible social structure
|
|
|
|
01:01:31.080 --> 01:01:33.080
|
|
in America is how we are being covered
|
|
|
|
01:01:33.080 --> 01:01:35.080
|
|
these visible thought leaders
|
|
|
|
01:01:35.080 --> 01:01:37.080
|
|
that are put in front of us
|
|
|
|
01:01:37.080 --> 01:01:39.080
|
|
by the algorithms
|
|
|
|
01:01:39.080 --> 01:01:41.080
|
|
artificially elevated by the algorithms
|
|
|
|
01:01:41.080 --> 01:01:43.080
|
|
including these three people
|
|
|
|
01:01:47.080 --> 01:01:49.080
|
|
this guy, an academic biologist
|
|
|
|
01:01:49.080 --> 01:01:51.080
|
|
who almost certainly has used
|
|
|
|
01:01:51.080 --> 01:01:53.080
|
|
transfection in his lab
|
|
|
|
01:01:53.080 --> 01:01:55.080
|
|
multiple times on multiple projects
|
|
|
|
01:01:55.080 --> 01:01:57.080
|
|
but was too stupid to know that we shouldn't
|
|
|
|
01:01:57.080 --> 01:01:59.080
|
|
transfect healthy humans
|
|
|
|
01:02:03.080 --> 01:02:05.080
|
|
what else, how else should I characterize him?
|
|
|
|
01:02:05.080 --> 01:02:07.080
|
|
I mean if you were
|
|
|
|
01:02:07.080 --> 01:02:11.080
|
|
if you drove your car into somebody's house
|
|
|
|
01:02:11.080 --> 01:02:13.080
|
|
because you thought the garage door
|
|
|
|
01:02:13.080 --> 01:02:15.080
|
|
was going to open by itself
|
|
|
|
01:02:15.080 --> 01:02:17.080
|
|
you can't just say like well I mean
|
|
|
|
01:02:17.080 --> 01:02:19.080
|
|
you know
|
|
|
|
01:02:20.080 --> 01:02:22.080
|
|
and if you let a bunch of people
|
|
|
|
01:02:22.080 --> 01:02:24.080
|
|
transfect themselves and you should have done
|
|
|
|
01:02:24.080 --> 01:02:26.080
|
|
known better then you're dumb
|
|
|
|
01:02:26.080 --> 01:02:30.080
|
|
you should have spoke up
|
|
|
|
01:02:30.080 --> 01:02:32.080
|
|
maybe he doesn't even know yet
|
|
|
|
01:02:32.080 --> 01:02:34.080
|
|
but that's very unlikely
|
|
|
|
01:02:34.080 --> 01:02:38.080
|
|
it's very unlikely at this point
|
|
|
|
01:02:38.080 --> 01:02:40.080
|
|
that any of these people don't know
|
|
|
|
01:02:40.080 --> 01:02:42.080
|
|
and the ones that don't know
|
|
|
|
01:02:42.080 --> 01:02:44.080
|
|
choose not to know
|
|
|
|
01:02:44.080 --> 01:02:46.080
|
|
the lookaway doctrine
|
|
|
|
01:02:46.080 --> 01:02:48.080
|
|
in the military it's called
|
|
|
|
01:02:48.080 --> 01:02:50.080
|
|
just don't ask questions about what's happening behind that curtain
|
|
|
|
01:02:50.080 --> 01:02:52.080
|
|
what are those sounds?
|
|
|
|
01:02:52.080 --> 01:02:54.080
|
|
it doesn't matter it's none of your concern
|
|
|
|
01:02:56.080 --> 01:02:58.080
|
|
without a doubt
|
|
|
|
01:02:58.080 --> 01:03:00.080
|
|
all these people know how we're being governed
|
|
|
|
01:03:00.080 --> 01:03:02.080
|
|
without a doubt all these people know
|
|
|
|
01:03:02.080 --> 01:03:04.080
|
|
we're being governed by a mythology
|
|
|
|
01:03:04.080 --> 01:03:06.080
|
|
they are just participating
|
|
|
|
01:03:06.080 --> 01:03:08.080
|
|
because they get fame
|
|
|
|
01:03:08.080 --> 01:03:10.080
|
|
fortune and status from it
|
|
|
|
01:03:12.080 --> 01:03:14.080
|
|
number of different cell types
|
|
|
|
01:03:14.080 --> 01:03:16.080
|
|
every week I look at great journals like
|
|
|
|
01:03:16.080 --> 01:03:18.080
|
|
cell nature and science
|
|
|
|
01:03:18.080 --> 01:03:20.080
|
|
I saw recently that using single cell sequencing
|
|
|
|
01:03:20.080 --> 01:03:22.080
|
|
they've categorized
|
|
|
|
01:03:22.080 --> 01:03:24.080
|
|
18 plus different types of fat cells
|
|
|
|
01:03:24.080 --> 01:03:26.080
|
|
we always think like a fat cell versus a muscle cell
|
|
|
|
01:03:26.080 --> 01:03:28.080
|
|
so now you've got 18 types
|
|
|
|
01:03:28.080 --> 01:03:30.080
|
|
each one is going to express many many different
|
|
|
|
01:03:30.080 --> 01:03:32.080
|
|
genes and RNAs
|
|
|
|
01:03:32.080 --> 01:03:34.080
|
|
and perhaps the
|
|
|
|
01:03:34.080 --> 01:03:36.080
|
|
one of them is responsible for
|
|
|
|
01:03:36.080 --> 01:03:38.080
|
|
you know what we see in advanced type 2 diabetes
|
|
|
|
01:03:38.080 --> 01:03:40.080
|
|
or in other forms of obesity
|
|
|
|
01:03:40.080 --> 01:03:42.080
|
|
or where people can't lay down fat cells
|
|
|
|
01:03:42.080 --> 01:03:44.080
|
|
which turns out to be just as detrimental in those extreme cases
|
|
|
|
01:03:44.080 --> 01:03:46.080
|
|
so now you've got all these lists of genes
|
|
|
|
01:03:46.080 --> 01:03:49.080
|
|
but I always thought of single cell sequencing
|
|
|
|
01:03:49.080 --> 01:03:51.080
|
|
as necessary but not sufficient
|
|
|
|
01:03:51.080 --> 01:03:53.080
|
|
but you need the information but it doesn't
|
|
|
|
01:03:53.080 --> 01:03:55.080
|
|
resolve the problem and I think of it more of a
|
|
|
|
01:03:55.080 --> 01:03:57.080
|
|
as a hypothesis generating experiment
|
|
|
|
01:03:57.080 --> 01:03:59.080
|
|
okay so you have all these genes and you can say
|
|
|
|
01:03:59.080 --> 01:04:01.080
|
|
well this gene is particularly elevated in the
|
|
|
|
01:04:01.080 --> 01:04:03.080
|
|
diabetics cell type of
|
|
|
|
01:04:03.080 --> 01:04:05.080
|
|
let's say one of these fat cells or muscle cells
|
|
|
|
01:04:05.080 --> 01:04:06.080
|
|
for that matter
|
|
|
|
01:04:06.080 --> 01:04:08.080
|
|
whereas it's not in non-diabetics
|
|
|
|
01:04:08.080 --> 01:04:10.080
|
|
so then of the millions of different cells
|
|
|
|
01:04:10.080 --> 01:04:13.080
|
|
maybe only five of them differ dramatically
|
|
|
|
01:04:13.080 --> 01:04:15.080
|
|
so then you generate a hypothesis
|
|
|
|
01:04:15.080 --> 01:04:17.080
|
|
oh it's the ones that differ dramatically that are important
|
|
|
|
01:04:17.080 --> 01:04:19.080
|
|
but maybe one of those genes
|
|
|
|
01:04:19.080 --> 01:04:21.080
|
|
when it's only you know 50%
|
|
|
|
01:04:21.080 --> 01:04:23.080
|
|
changed has a huge effect because of some
|
|
|
|
01:04:23.080 --> 01:04:25.080
|
|
network biology effect and so I guess what I'm trying to
|
|
|
|
01:04:25.080 --> 01:04:27.080
|
|
get to here is you know how does one
|
|
|
|
01:04:27.080 --> 01:04:30.080
|
|
meet that challenge and can AI help resolve that challenge
|
|
|
|
01:04:30.080 --> 01:04:32.080
|
|
by essentially placing those lists of genes
|
|
|
|
01:04:32.080 --> 01:04:34.080
|
|
into a you know 10,000 hypotheses
|
|
|
|
01:04:34.080 --> 01:04:36.080
|
|
because I'll tell you that the graduate students and postdocs
|
|
|
|
01:04:36.080 --> 01:04:38.080
|
|
in my lab get a chance to test one hypothesis at a time
|
|
|
|
01:04:38.080 --> 01:04:40.080
|
|
and that's really the challenge let alone one lab
|
|
|
|
01:04:40.080 --> 01:04:42.080
|
|
and so for those that are listening to this
|
|
|
|
01:04:42.080 --> 01:04:44.080
|
|
and you know hopefully it's not getting outside the scope
|
|
|
|
01:04:44.080 --> 01:04:46.080
|
|
of kind of like standard understanding
|
|
|
|
01:04:46.080 --> 01:04:48.080
|
|
or the understanding we've generated here
|
|
|
|
01:04:48.080 --> 01:04:50.080
|
|
but what basically saying is you have to pick at some point
|
|
|
|
01:04:50.080 --> 01:04:53.080
|
|
more data always sounds great but then how do you decide what to test?
|
|
|
|
01:04:53.080 --> 01:04:55.080
|
|
so no we don't know all the cell types
|
|
|
|
01:04:55.080 --> 01:04:58.080
|
|
I think one of the one thing that was really exciting
|
|
|
|
01:04:58.080 --> 01:05:01.080
|
|
when we first launched this work was you know cystic fibrosis
|
|
|
|
01:05:01.080 --> 01:05:03.080
|
|
like cystic fibrosis is caused by mutation
|
|
|
|
01:05:03.080 --> 01:05:05.080
|
|
and CFTR that's pretty well known
|
|
|
|
01:05:05.080 --> 01:05:08.080
|
|
it affects a certain channel that makes it hard for mucus to be clear
|
|
|
|
01:05:08.080 --> 01:05:10.080
|
|
that's the basic cystic fibrosis when I went to medical school
|
|
|
|
01:05:10.080 --> 01:05:11.080
|
|
it was taught as fat
|
|
|
|
01:05:11.080 --> 01:05:13.080
|
|
so their lungs fill up with fluid
|
|
|
|
01:05:13.080 --> 01:05:15.080
|
|
carrying around sacks of fluid filling up
|
|
|
|
01:05:15.080 --> 01:05:18.080
|
|
I've known people I've worked with people and they have to literally dump the fluid out
|
|
|
|
01:05:18.080 --> 01:05:21.080
|
|
they can't run or do an intense exercise life is shorter
|
|
|
|
01:05:21.080 --> 01:05:25.080
|
|
life is shorter and when we applied single cell methodologies to the lungs
|
|
|
|
01:05:25.080 --> 01:05:30.080
|
|
they discovered an entirely new cell type that actually is affected by mutation
|
|
|
|
01:05:30.080 --> 01:05:33.080
|
|
and the CF mutation the cystic fibrosis mutation
|
|
|
|
01:05:33.080 --> 01:05:36.080
|
|
that actually changes the paradigm of how we think about cystic fibrosis
|
|
|
|
01:05:36.080 --> 01:05:39.080
|
|
just a note so I don't think we know all the cell types
|
|
|
|
01:05:39.080 --> 01:05:41.080
|
|
I think we'll continue to discover them
|
|
|
|
01:05:41.080 --> 01:05:44.080
|
|
we'll continue to discover new relationships between cell and disease
|
|
|
|
01:05:44.080 --> 01:05:47.080
|
|
which leads me to the second example I want to bring up is
|
|
|
|
01:05:47.080 --> 01:05:51.080
|
|
this large data set that the entire scientific community has built our own single cell
|
|
|
|
01:05:51.080 --> 01:05:54.080
|
|
is starting to allow us to say this mutation
|
|
|
|
01:05:54.080 --> 01:05:57.080
|
|
where is it expressed what types of cell types it's expressed in
|
|
|
|
01:05:57.080 --> 01:06:01.080
|
|
and we actually have built a tool at CZI called cell by gene
|
|
|
|
01:06:01.080 --> 01:06:04.080
|
|
where you can put in the mutation that you're interested in
|
|
|
|
01:06:04.080 --> 01:06:07.080
|
|
and it gives you a heat map of cross cell types
|
|
|
|
01:06:07.080 --> 01:06:11.080
|
|
of which cell types are expressing the gene that you're interested in
|
|
|
|
01:06:11.080 --> 01:06:16.080
|
|
and so then you can start looking at okay if I look at gene X
|
|
|
|
01:06:16.080 --> 01:06:20.080
|
|
and I know it's related to heart disease but if you look at the heat map
|
|
|
|
01:06:20.080 --> 01:06:24.080
|
|
it's also spiking in the pancreas that allows you to generate a hypothesis why
|
|
|
|
01:06:24.080 --> 01:06:28.080
|
|
and what happens when this gene is mutated and you're in the function of your pancreas
|
|
|
|
01:06:28.080 --> 01:06:31.080
|
|
really exciting way to look and ask questions differently
|
|
|
|
01:06:31.080 --> 01:06:36.080
|
|
and you can also imagine a world where if you're trying to develop a therapy
|
|
|
|
01:06:36.080 --> 01:06:40.080
|
|
a drug and the goal is to treat the function of the heart
|
|
|
|
01:06:40.080 --> 01:06:43.080
|
|
but you know that it's also really active in the pancreas again
|
|
|
|
01:06:43.080 --> 01:06:47.080
|
|
so what is there going to be an unexpected side effect that you should think about
|
|
|
|
01:06:47.080 --> 01:06:50.080
|
|
as you're bringing this drug to clinical trials
|
|
|
|
01:06:50.080 --> 01:06:54.080
|
|
so she's talking about bringing a drug to clinical trials
|
|
|
|
01:06:54.080 --> 01:06:58.080
|
|
she's talking about substances she's talking about products
|
|
|
|
01:06:58.080 --> 01:07:01.080
|
|
she's BSing
|
|
|
|
01:07:01.080 --> 01:07:04.080
|
|
and they're lying about this idea that they're going to cure all diseases
|
|
|
|
01:07:04.080 --> 01:07:06.080
|
|
they're going to collect all the data
|
|
|
|
01:07:06.080 --> 01:07:10.080
|
|
they're going to collect all the data as much data as they possibly can
|
|
|
|
01:07:10.080 --> 01:07:17.080
|
|
under the excuse of philanthropy and maybe public health
|
|
|
|
01:07:17.080 --> 01:07:22.080
|
|
but they're also talking about software tools that they're going to apply to this data
|
|
|
|
01:07:22.080 --> 01:07:27.080
|
|
so that it becomes proprietary information so that it becomes patentable
|
|
|
|
01:07:27.080 --> 01:07:31.080
|
|
make no mistake about it it's all the same game
|
|
|
|
01:07:31.080 --> 01:07:34.080
|
|
it's the same game as Absolera's playing
|
|
|
|
01:07:34.080 --> 01:07:37.080
|
|
they're playing the same game with the data
|
|
|
|
01:07:37.080 --> 01:07:39.080
|
|
they're trying to monetize it
|
|
|
|
01:07:39.080 --> 01:07:41.080
|
|
privatize it
|
|
|
|
01:07:41.080 --> 01:07:43.080
|
|
profitize it whatever
|
|
|
|
01:07:43.080 --> 01:07:45.080
|
|
make it into a product
|
|
|
|
01:07:45.080 --> 01:07:49.080
|
|
and these software stacks that they're using as informatics
|
|
|
|
01:07:49.080 --> 01:07:52.080
|
|
you know processing tools they're all patented
|
|
|
|
01:07:52.080 --> 01:07:54.080
|
|
they're all going to be rented out
|
|
|
|
01:07:56.080 --> 01:07:59.080
|
|
and even if they become public tools that's not the point
|
|
|
|
01:07:59.080 --> 01:08:02.080
|
|
the point is is that they're gathering the data
|
|
|
|
01:08:02.080 --> 01:08:05.080
|
|
and they're doing it under false pretenses
|
|
|
|
01:08:05.080 --> 01:08:08.080
|
|
they're doing it under the idea that they're going to help people
|
|
|
|
01:08:08.080 --> 01:08:10.080
|
|
what they want to do is control
|
|
|
|
01:08:13.080 --> 01:08:15.080
|
|
and I'm going to say it one more time
|
|
|
|
01:08:15.080 --> 01:08:17.080
|
|
because I think it's very important to point out
|
|
|
|
01:08:17.080 --> 01:08:19.080
|
|
if my wife and I were to do this interview
|
|
|
|
01:08:19.080 --> 01:08:21.080
|
|
you would see that we were married
|
|
|
|
01:08:21.080 --> 01:08:24.080
|
|
and it would be obvious that we sleep together
|
|
|
|
01:08:24.080 --> 01:08:29.080
|
|
the love between my wife and I would be obvious
|
|
|
|
01:08:29.080 --> 01:08:32.080
|
|
our affection would be obvious
|
|
|
|
01:08:32.080 --> 01:08:34.080
|
|
our mutual respect would be obvious
|
|
|
|
01:08:34.080 --> 01:08:38.080
|
|
and I don't see it here
|
|
|
|
01:08:38.080 --> 01:08:42.080
|
|
I don't see it here at all
|
|
|
|
01:08:42.080 --> 01:08:44.080
|
|
and that's because it's not there
|
|
|
|
01:08:44.080 --> 01:08:49.080
|
|
this is a fake couple that is being used to rule us
|
|
|
|
01:08:50.080 --> 01:08:53.080
|
|
I'm certain of it
|
|
|
|
01:08:53.080 --> 01:08:55.080
|
|
it's an incredibly exciting tool
|
|
|
|
01:08:55.080 --> 01:08:57.080
|
|
and one that's only going to get better
|
|
|
|
01:08:57.080 --> 01:09:00.080
|
|
as we get more and more sophisticated ways to analyze the data
|
|
|
|
01:09:00.080 --> 01:09:02.080
|
|
let's say I love that because if I look at the advances
|
|
|
|
01:09:02.080 --> 01:09:04.080
|
|
in neuroscience over the last 15 years
|
|
|
|
01:09:04.080 --> 01:09:07.080
|
|
most of them did necessarily come from looking at the nervous system
|
|
|
|
01:09:07.080 --> 01:09:10.080
|
|
came from the understanding that the immune system impacts the brain
|
|
|
|
01:09:10.080 --> 01:09:13.080
|
|
everyone prior to that talked about the brain as immune-privileged organ
|
|
|
|
01:09:13.080 --> 01:09:16.080
|
|
what you just said also bridges the divide between
|
|
|
|
01:09:16.080 --> 01:09:18.080
|
|
single cells organs and systems
|
|
|
|
01:09:18.080 --> 01:09:20.080
|
|
because ultimately cells make up organs
|
|
|
|
01:09:20.080 --> 01:09:22.080
|
|
and they're all talking to one another
|
|
|
|
01:09:22.080 --> 01:09:24.080
|
|
and everyone nowadays is familiar with gut brain access
|
|
|
|
01:09:24.080 --> 01:09:26.080
|
|
or the microbiome being so important
|
|
|
|
01:09:26.080 --> 01:09:29.080
|
|
but rarely is the discussion between organs
|
|
|
|
01:09:29.080 --> 01:09:32.080
|
|
discussed so to speak
|
|
|
|
01:09:32.080 --> 01:09:34.080
|
|
what's really frustrating about this
|
|
|
|
01:09:34.080 --> 01:09:37.080
|
|
is that this guy is actually a real physical fitness freak
|
|
|
|
01:09:37.080 --> 01:09:39.080
|
|
you can see he's kind of pumped up
|
|
|
|
01:09:39.080 --> 01:09:42.080
|
|
he talks about exercise a lot
|
|
|
|
01:09:42.080 --> 01:09:45.080
|
|
and about an exercise routine and about sleep
|
|
|
|
01:09:45.080 --> 01:09:49.080
|
|
and about house sleep
|
|
|
|
01:09:49.080 --> 01:09:53.080
|
|
thank you very much I know very well can ruin your physical mental health
|
|
|
|
01:09:53.080 --> 01:09:56.080
|
|
he knows all about food
|
|
|
|
01:09:56.080 --> 01:09:59.080
|
|
and about the gut brain interaction
|
|
|
|
01:09:59.080 --> 01:10:01.080
|
|
which he just casually glossed over there
|
|
|
|
01:10:01.080 --> 01:10:06.080
|
|
how does studying individual cells
|
|
|
|
01:10:06.080 --> 01:10:10.080
|
|
ever get you to the point to understand how they contribute to the pattern integrity
|
|
|
|
01:10:10.080 --> 01:10:15.080
|
|
and when is this guy going to say
|
|
|
|
01:10:15.080 --> 01:10:18.080
|
|
so what about this curing all diseases
|
|
|
|
01:10:18.080 --> 01:10:21.080
|
|
where's the health and wellness part about this
|
|
|
|
01:10:21.080 --> 01:10:23.080
|
|
where's the nutritional aspect of it
|
|
|
|
01:10:23.080 --> 01:10:27.080
|
|
are you funding anything that has to do with changing people's lifestyles
|
|
|
|
01:10:27.080 --> 01:10:31.080
|
|
as opposed to just fixing the problems that are caused by the crap
|
|
|
|
01:10:31.080 --> 01:10:34.080
|
|
habits that they have
|
|
|
|
01:10:34.080 --> 01:10:39.080
|
|
because that's the part of this narrative that gets very very frustrating
|
|
|
|
01:10:39.080 --> 01:10:43.080
|
|
because obese people are not people that need a cure
|
|
|
|
01:10:43.080 --> 01:10:46.080
|
|
obese people are not people that need medicine
|
|
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01:10:46.080 --> 01:10:50.080
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obese people are not people that need a special pill that hasn't been invented yet
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01:10:50.080 --> 01:10:56.080
|
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I'm going to go out and a limb here and say that a lot of obese people just need a kick in the ass
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01:10:56.080 --> 01:10:59.080
|
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they needed to be told they were fat
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01:10:59.080 --> 01:11:02.080
|
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a long frickin time ago by somebody that loved them
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01:11:02.080 --> 01:11:07.080
|
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so that they would have done something different about the choices that they made for the last 20 years
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01:11:07.080 --> 01:11:11.080
|
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but I hate to break it to you
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01:11:11.080 --> 01:11:15.080
|
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but if the math says that if you're 600 pounds there was a time when you were 300
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01:11:15.080 --> 01:11:20.080
|
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and when you were 300 pounds someone should have done told you that you're too stupid fat
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01:11:20.080 --> 01:11:25.080
|
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but none of that discussion is on this table here
|
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01:11:25.080 --> 01:11:29.080
|
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you talk about diabetes but you're not going to talk about the American diet
|
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01:11:29.080 --> 01:11:33.080
|
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and about how little we do to solve that problem in children
|
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01:11:33.080 --> 01:11:42.080
|
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you're not going to talk about the fact that zucker could frickin fund an entire public school
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01:11:42.080 --> 01:11:48.080
|
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lunch program for the money that he's doing and that would cure so many more diseases than anything else
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01:11:48.080 --> 01:11:53.080
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this is where this just gets absurd
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01:11:53.080 --> 01:11:59.080
|
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that these guys are all rubbing each other and getting all excited about all the big words they can use together
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01:11:59.080 --> 01:12:01.080
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and how they can agree on what they mean
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01:12:01.080 --> 01:12:05.080
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but they're not talking about the heart of the problem
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01:12:05.080 --> 01:12:09.080
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we got this 340 million people and most of them are unhealthy
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01:12:09.080 --> 01:12:14.080
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and it's not because we haven't solved the problem of the human genome yet
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01:12:14.080 --> 01:12:19.080
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I think that's a very clever way of putting it
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01:12:19.080 --> 01:12:22.080
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we've got 350 million people in the United States
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01:12:22.080 --> 01:12:24.080
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most of them are extremely unhealthy
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01:12:24.080 --> 01:12:29.080
|
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and it's not because we haven't solved the human genome yet
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01:12:30.080 --> 01:12:32.080
|
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you jackasses
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01:12:32.080 --> 01:12:37.080
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it's wonderful so that that tool was generated by CZI or CZI funded that tool
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01:12:37.080 --> 01:12:38.080
|
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we built that
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01:12:38.080 --> 01:12:39.080
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we built it
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01:12:39.080 --> 01:12:41.080
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so is it built by meta?
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01:12:41.080 --> 01:12:42.080
|
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it's its own engineers
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01:12:42.080 --> 01:12:43.080
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got it
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01:12:43.080 --> 01:12:45.080
|
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there are completely different organizations
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01:12:45.080 --> 01:12:46.080
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incredible
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01:12:46.080 --> 01:12:49.080
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and so a graduate student or postdoc who's interested in particular mutation
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01:12:49.080 --> 01:12:51.080
|
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can put this mutation into this database
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01:12:51.080 --> 01:12:54.080
|
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that graduate student or postdoc might be in a laboratory known for working on heart
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01:12:54.080 --> 01:12:58.080
|
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but suddenly find that they're collaborating with other scientists that work on the pancreas
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01:12:58.080 --> 01:13:01.080
|
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which also is wonderful because it bridges the divide between these fields
|
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01:13:01.080 --> 01:13:03.080
|
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fields are so siloed in science
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01:13:03.080 --> 01:13:06.080
|
|
not just different buildings but people rarely talk unless things like this are happening
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01:13:06.080 --> 01:13:10.080
|
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I mean the graduate student is someone that we want to empower because one they're the future of science as you know
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01:13:10.080 --> 01:13:14.080
|
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and within cell by gene if you put in the gene you're interested in and it shows you the heat map
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01:13:14.080 --> 01:13:17.080
|
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we also will pull up like the most relevant papers to that gene
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01:13:17.080 --> 01:13:19.080
|
|
and so like read these things
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01:13:19.080 --> 01:13:20.080
|
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fantastic
|
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01:13:20.080 --> 01:13:23.080
|
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as we all know quality nutrition influences of course our physical health
|
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01:13:23.080 --> 01:13:25.080
|
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but also our mental health and our cognitive functioning
|
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01:13:25.080 --> 01:13:27.080
|
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our memory our ability to learn new things and to focus
|
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01:13:27.080 --> 01:13:30.080
|
|
and we know that one of the most important features of high quality nutrition
|
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01:13:30.080 --> 01:13:35.080
|
|
is making sure that we get enough vitamins and minerals from high quality unprocessed or minimally processed sources
|
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01:13:35.080 --> 01:13:40.080
|
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as well as enough probiotics and prebiotics and fiber to support basically all the cellular functions in our body
|
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01:13:40.080 --> 01:13:42.080
|
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including the gut microbiome
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01:13:42.080 --> 01:13:46.080
|
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now I like most everybody try to get optimal nutrition from whole foods
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01:13:46.080 --> 01:13:49.080
|
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ideally mostly from minimally processed or non processed foods
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01:13:49.080 --> 01:13:51.080
|
|
however one of the challenges that I and so many other people face
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01:13:51.080 --> 01:13:54.080
|
|
is getting enough servings of high quality fruits and vegetables per day
|
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01:13:54.080 --> 01:13:57.080
|
|
as well as fiber and probiotics that often accompany those fruits and vegetables
|
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01:13:57.080 --> 01:14:00.080
|
|
that's why way back in 2012 long before I ever had a podcast
|
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01:14:00.080 --> 01:14:02.080
|
|
I started drinking AG1
|
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|
|
01:14:02.080 --> 01:14:05.080
|
|
and so I'm delighted that AG1 is sponsoring the Huberman lab podcast
|
|
|
|
01:14:05.080 --> 01:14:09.080
|
|
the reason I started taking AG1 and the reason I still drink AG1 once or twice a day
|
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|
|
01:14:09.080 --> 01:14:11.080
|
|
is that it provides all of my foundational nutritional needs
|
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|
01:14:11.080 --> 01:14:16.080
|
|
that is it provides insurance that I get the proper amounts of vitamins, minerals, probiotics and fiber
|
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|
01:14:16.080 --> 01:14:19.080
|
|
to ensure optimal mental health, physical health and performance
|
|
|
|
01:14:19.080 --> 01:14:24.080
|
|
if you'd like to try AG1 you can go to drinkag1.com slash Huberman to claim a special offer
|
|
|
|
01:14:24.080 --> 01:14:28.080
|
|
they're giving away 5 free travel packs plus a year's supply of vitamin D3K2
|
|
|
|
01:14:28.080 --> 01:14:32.080
|
|
again that's drinkag1.com slash Huberman to claim that special offer
|
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|
|
01:14:32.080 --> 01:14:34.080
|
|
I just think going back to your question
|
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01:14:34.080 --> 01:14:37.080
|
|
that was too ironic more sometimes I could discover it I mean I assume so
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01:14:37.080 --> 01:14:40.080
|
|
right I mean no catalog of the stuff is ever you know doesn't seem like we're ever done
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01:14:40.080 --> 01:14:43.080
|
|
right we keep on finding more but I think that
|
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01:14:43.080 --> 01:14:48.080
|
|
what is the problem with finding more do you understand that there's this thing
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01:14:48.080 --> 01:14:51.080
|
|
right about lumpers and splitters in biology
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|
01:14:51.080 --> 01:14:56.080
|
|
and what they're right now talking about is the splitting aspect of biology
|
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01:14:56.080 --> 01:15:01.080
|
|
so biologists tend to be lumped into two groups or can be lumped into two groups
|
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|
|
01:15:01.080 --> 01:15:04.080
|
|
they can be lumped into lumpers or splitters
|
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|
01:15:04.080 --> 01:15:10.080
|
|
the splitters are people that like to split things into ever smaller categories to study ever more
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|
01:15:10.080 --> 01:15:13.080
|
|
detailed categorization of things to try and understand things
|
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|
01:15:13.080 --> 01:15:17.080
|
|
and lumpers are people that like to lump things together in order to understand them
|
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|
01:15:17.080 --> 01:15:21.080
|
|
and generally speaking it is really true
|
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|
|
01:15:21.080 --> 01:15:26.080
|
|
biologists are either one or the other and it seems like these guys have decided that the splitters are the right ones
|
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|
|
01:15:26.080 --> 01:15:32.080
|
|
and so they're talking about classifying cells and every time they start to dissect a new cell population
|
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|
|
01:15:32.080 --> 01:15:35.080
|
|
we find all kinds of new cell types
|
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|
|
01:15:35.080 --> 01:15:38.080
|
|
that's the problem with being a splitter
|
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|
01:15:38.080 --> 01:15:42.080
|
|
you know if you just say you like blondes that's a lot of girls
|
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|
01:15:42.080 --> 01:15:45.080
|
|
if you start to say well I like blondes but I'm really picky about their
|
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|
01:15:45.080 --> 01:15:50.080
|
|
whether how long the hair is and what color their eyes are and whether they like to wear jeans or not
|
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|
|
01:15:50.080 --> 01:15:54.080
|
|
then you're a splitter
|
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|
|
01:15:54.080 --> 01:16:00.080
|
|
and in biology trying to understand things exclusively by splitting things
|
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|
|
01:16:00.080 --> 01:16:10.080
|
|
and ever smaller things is a bit like imagining that if you dissect the complexity of the pattern integrity enough
|
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|
|
01:16:10.080 --> 01:16:14.080
|
|
that how its parts come together will make sense
|
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|
|
01:16:14.080 --> 01:16:19.080
|
|
for example if you just studied all of the molecules in a wave of water
|
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|
|
01:16:19.080 --> 01:16:24.080
|
|
eventually if you knew where all those molecules were you'd be able to simulate the wave
|
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|
|
01:16:24.080 --> 01:16:28.080
|
|
and you understand how waves work
|
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|
|
01:16:28.080 --> 01:16:32.080
|
|
and so you're studying these little molecules and the salt and everything
|
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|
|
01:16:32.080 --> 01:16:36.080
|
|
but you don't have any concept of how they work together to form a wave
|
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|
|
01:16:36.080 --> 01:16:39.080
|
|
to find how the server rides it
|
|
|
|
01:16:39.080 --> 01:16:44.080
|
|
and in this scenario they're talking about splitting cells into ever smaller groups with the idea
|
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|
|
01:16:44.080 --> 01:16:49.080
|
|
that once we split them into the useful groups the right groups
|
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|
|
01:16:49.080 --> 01:16:52.080
|
|
then the pattern that they make together will become obvious
|
|
|
|
01:16:52.080 --> 01:16:55.080
|
|
and I think this is really a wrong answer
|
|
|
|
01:16:55.080 --> 01:17:00.080
|
|
of modern LLMs is the ability to kind of imagine different states that things can be in
|
|
|
|
01:17:00.080 --> 01:17:04.080
|
|
so from all the work that we've done and funded on the human cell atlas
|
|
|
|
01:17:04.080 --> 01:17:09.080
|
|
there is a large deal you get the feeling that he looks at her sometimes to get a nod
|
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|
|
01:17:09.080 --> 01:17:13.080
|
|
or like looks at her for approval
|
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|
|
01:17:13.080 --> 01:17:18.080
|
|
I really feel like he's looking for her to say no or yes when he looks over to her
|
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|
|
01:17:18.080 --> 01:17:24.080
|
|
and she's never looking at him she's always looking down really intensely listening in case she has to correct him
|
|
|
|
01:17:24.080 --> 01:17:29.080
|
|
purpose of data that you can now train a kind of large scale model on
|
|
|
|
01:17:29.080 --> 01:17:32.080
|
|
and one of the things that we're doing is see
|
|
|
|
01:17:32.080 --> 01:17:37.080
|
|
which I think is pretty exciting is building what we think is one of the largest non-profit life sciences
|
|
|
|
01:17:37.080 --> 01:17:41.080
|
|
AI clusters right it's like a you know the order of a thousand GPUs
|
|
|
|
01:17:41.080 --> 01:17:45.080
|
|
and you know it's larger than what most people have access to in academia
|
|
|
|
01:17:45.080 --> 01:17:47.080
|
|
you can do serious engineering work on
|
|
|
|
01:17:47.080 --> 01:17:52.080
|
|
and you know by basically training a model with all of the human cell atlas data
|
|
|
|
01:17:52.080 --> 01:17:54.080
|
|
and a bunch of other inputs as well
|
|
|
|
01:17:54.080 --> 01:17:59.080
|
|
we think you'll be able to basically imagine all of the different types of cells
|
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|
|
01:17:59.080 --> 01:18:02.080
|
|
and all the different states that they can be in and when they're healthy and diseased
|
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|
|
01:18:02.080 --> 01:18:08.080
|
|
and how they'll interact with different interact with each other interact with different potential drugs
|
|
|
|
01:18:08.080 --> 01:18:10.080
|
|
but I mean I think the state of LLMs
|
|
|
|
01:18:10.080 --> 01:18:13.080
|
|
I think this is where it's helpful to understand you know have a good understanding
|
|
|
|
01:18:13.080 --> 01:18:16.080
|
|
and be grounded in like the modern state of AI I mean these things are not full
|
|
|
|
01:18:16.080 --> 01:18:20.080
|
|
so he's talking about language models again LLMs
|
|
|
|
01:18:24.080 --> 01:18:28.080
|
|
so he's still talking about using a language model to crack the genome
|
|
|
|
01:18:30.080 --> 01:18:37.080
|
|
proof right I mean one of the flaws of modern LLMs is they hallucinate right so the question is how do you make it so that
|
|
|
|
01:18:37.080 --> 01:18:40.080
|
|
that can be an advantage rather than a disadvantage
|
|
|
|
01:18:40.080 --> 01:18:43.080
|
|
and I think the way that it ends up being an advantage is when they help you imagine
|
|
|
|
01:18:43.080 --> 01:18:47.080
|
|
a bunch of states that someone could be in but then you know as the scientist or engineer go and validate
|
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|
|
01:18:47.080 --> 01:18:50.080
|
|
that those are true whether they're you know solutions to how a protein can be folded
|
|
|
|
01:18:50.080 --> 01:18:53.080
|
|
or possible states that a cell could be in when it's interacting with other things
|
|
|
|
01:18:53.080 --> 01:18:57.080
|
|
but you know we're not yet at the state with AI that you can just take the outputs of these things
|
|
|
|
01:18:57.080 --> 01:19:03.080
|
|
as like as gospel and run from there but they are very good I think as you said hypothesis generators
|
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|
|
01:19:03.080 --> 01:19:08.080
|
|
or possible solution generators that then you can go validate so I know that's a very powerful
|
|
|
|
01:19:08.080 --> 01:19:12.080
|
|
thing that we can basically you know building on the first five years of science work
|
|
|
|
01:19:12.080 --> 01:19:15.080
|
|
around the human cell atlas and all the data that's been built out carry that forward
|
|
|
|
01:19:15.080 --> 01:19:18.080
|
|
into something that I think is going to be a very novel tool going forward
|
|
|
|
01:19:18.080 --> 01:19:23.080
|
|
and that's the type of thing that I think we're set up to do well I mean you all you had
|
|
|
|
01:19:23.080 --> 01:19:27.080
|
|
this exchange a little while back about you know funding levels and how CZI is
|
|
|
|
01:19:27.080 --> 01:19:32.080
|
|
you know just sort of a drop in the in the bucket compared to NIH but I think we have this
|
|
|
|
01:19:32.080 --> 01:19:37.080
|
|
the thing that I think we can do that's different is funding some of these longer term
|
|
|
|
01:19:37.080 --> 01:19:41.080
|
|
bigger projects that it is hard to galvanize the and pull together the energy to do that
|
|
|
|
01:19:41.080 --> 01:19:46.080
|
|
and it's a lot of what most science funding is is like relatively small projects that are exploring
|
|
|
|
01:19:46.080 --> 01:19:50.080
|
|
things over relatively short time horizons and one of the things that we try to do is
|
|
|
|
01:19:50.080 --> 01:19:54.080
|
|
like build these tools over you know five ten fifteen year periods they're often projects
|
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|
|
01:19:54.080 --> 01:19:57.080
|
|
that require you know hundreds of millions of dollars of funding and world class engineering
|
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|
|
01:19:57.080 --> 01:20:01.080
|
|
teams and infrastructure to do and that I think is a pretty cool contribution to the field
|
|
|
|
01:20:01.080 --> 01:20:06.080
|
|
that that I think is there aren't as many other folks who are doing that kind of thing
|
|
|
|
01:20:06.080 --> 01:20:09.080
|
|
but that's one of the reasons why I'm personally excited about the virtual cell stuff because
|
|
|
|
01:20:09.080 --> 01:20:12.080
|
|
it just it's like this perfect intersection of all the stuff that we've done in single cell
|
|
|
|
01:20:12.080 --> 01:20:19.080
|
|
to previous so virtual cells is dumb as a as a virtual cube of neurons that that
|
|
|
|
01:20:19.080 --> 01:20:24.080
|
|
Henry Markham said he was going to make in with the blue brain project way back in
|
|
|
|
01:20:24.080 --> 01:20:31.080
|
|
2005 or 2008 and he got a billion dollars from the EU to do a human brain project where
|
|
|
|
01:20:31.080 --> 01:20:36.080
|
|
he's going to simulate the whole human brain using neurons that had ten thousand compartments
|
|
|
|
01:20:37.080 --> 01:20:43.080
|
|
each he really got a billion dollars to do that because he talked that much smack his name is
|
|
|
|
01:20:43.080 --> 01:20:49.080
|
|
Henry Markham I've done some shows about him before years ago and this is no different
|
|
|
|
01:20:49.080 --> 01:20:56.080
|
|
this is the same dumb talk in the virtual cell I mean the virtual cell I mean come on
|
|
|
|
01:20:56.080 --> 01:21:04.080
|
|
the virtual cell the arrogance of this jack is just crazy but they all do it they all
|
|
|
|
01:21:04.080 --> 01:21:09.080
|
|
play the same game ladies and gentlemen all of them play the same game it's a bullshit
|
|
|
|
01:21:09.080 --> 01:21:16.080
|
|
game it's a lying game it's a confidence game and we are being governed by a confidence
|
|
|
|
01:21:16.080 --> 01:21:23.080
|
|
game by these kinds of people in a lot of ways these kinds of people have more influence
|
|
|
|
01:21:23.080 --> 01:21:28.080
|
|
behind the scenes and a lot of our politicians do our politicians are almost neutered at this
|
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01:21:28.080 --> 01:21:36.080
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stage they don't do anything they oversee a bankrupt government
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01:21:36.080 --> 01:21:41.080
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operations that we've done with the field and bring together the industry and AI expertise
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01:21:41.080 --> 01:21:46.080
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around this yeah I completely agree that the model of science that you're put together
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01:21:46.080 --> 01:21:52.080
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with CZI isn't just unique from NIH but it's extremely important the independent investigator
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01:21:52.080 --> 01:21:55.080
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model is what's driven the progression of science in this country and to some extent
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01:21:55.080 --> 01:22:01.080
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in northern Europe for the last hundred years and it's wonderful on the one hand because
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01:22:01.080 --> 01:22:05.080
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it allows for that image we have of a scientist kind of tinkering away or the people in their
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01:22:05.080 --> 01:22:12.080
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lab and then they reek us and that hopefully translates to better human health but I think
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01:22:12.080 --> 01:22:16.080
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in my opinion we've moved past that model as the most effective model or the only model
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01:22:16.080 --> 01:22:19.080
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that should be explored yeah I just think it's a balance you want that but you want to
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01:22:19.080 --> 01:22:22.080
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empower those people I think that that's these tools and show those and their mechanisms
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01:22:22.080 --> 01:22:26.080
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to do that like NIH but but it's hard to do collaborative sciences it's sort of interesting
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01:22:26.080 --> 01:22:30.080
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that we're sitting here not far because I grew up right near here as well I'm not far from
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01:22:30.080 --> 01:22:35.080
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the garage model of tech right he looked at the backward model not far from here at all
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01:22:35.080 --> 01:22:40.080
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and the idea was you know the tinkerer in the garage the inventor and then people often
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01:22:40.080 --> 01:22:43.080
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forget that to implement all the technologies they discovered took enormous factories and
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01:22:43.080 --> 01:22:47.080
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warehouse so you know there's there's a similarity there to Facebook meta etc but I think in
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01:22:47.080 --> 01:22:50.080
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science what we imagine that the scientists alone in their laboratory and those eureka
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01:22:50.080 --> 01:22:54.080
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moments but I think nowadays that the big questions really require extensive collaboration
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01:22:54.080 --> 01:22:58.080
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and certainly tool development and one of the tools that you keep coming back to is these
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01:22:58.080 --> 01:23:01.080
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LLM's these large language models and maybe you could just elaborate for for those that
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01:23:01.080 --> 01:23:06.080
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aren't familiar you know what are what is a large language model for that the uninformed
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01:23:06.080 --> 01:23:11.080
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what is it and what does it allow what does it allow us to do that you know different
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01:23:11.080 --> 01:23:15.080
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types of other types of AI don't allow or more importantly perhaps what does it allow us
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01:23:15.080 --> 01:23:19.080
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to do that a bunch of really smart people highly informed in a given area of science staring
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01:23:19.080 --> 01:23:25.080
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at the data what can I do that they can't do sure so I think a lot of the progression
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01:23:25.080 --> 01:23:30.080
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of machine learning has been about building systems neural networks or otherwise that
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01:23:30.080 --> 01:23:35.080
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can basically make sense and find patterns in larger and larger amounts of data and there's
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01:23:35.080 --> 01:23:40.080
|
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a breakthrough a number of years back that some folks at Google actually made called
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01:23:40.080 --> 01:23:45.080
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this transformer model architecture and it was this huge breakthrough because before then
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01:23:45.080 --> 01:23:49.080
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there was somewhat of a cap where you know if you fed more data into a neural network
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01:23:49.080 --> 01:23:54.080
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past some some point it didn't really glean more insights from it whereas transformers
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01:23:54.080 --> 01:23:57.080
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just you know we haven't seen the end of how big that can scale to yet I mean I think
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01:23:57.080 --> 01:24:01.080
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there's a chance that we run into some some ceiling but it's never asymptotes we haven't
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01:24:01.080 --> 01:24:04.080
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observed it yet but we just haven't built big enough systems yet so I would guess that
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01:24:04.080 --> 01:24:08.080
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I don't know I think this is actually one of the big questions and in the AI field today
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01:24:08.080 --> 01:24:12.080
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is basically our transformers and our current model architecture is sufficient and if you
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01:24:12.080 --> 01:24:15.080
|
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just build larger and larger clusters you eventually get something that's like human
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01:24:15.080 --> 01:24:20.080
|
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intelligence or super intelligence or is there some kind of fundamental limit to this architecture
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01:24:20.080 --> 01:24:24.080
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that we just haven't reached yet and once we we kind of get a little bit further
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01:24:24.080 --> 01:24:27.080
|
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in building them out then we'll reach that and we'll need a few more leaps before we get to
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01:24:27.080 --> 01:24:32.080
|
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you know the level of AI that I think will unlock you know a ton of really futuristic
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01:24:32.080 --> 01:24:36.080
|
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and amazing things but there's no doubt that even just being able to process the amount of data
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01:24:36.080 --> 01:24:41.080
|
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that we can now with this model architecture has unlocked a lot of new use cases and the
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01:24:41.080 --> 01:24:46.080
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other called large language models is because one of the first uses of them is people basically
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01:24:46.080 --> 01:24:51.080
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feed in all of the language from basically the world wide web and you can think about
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01:24:51.080 --> 01:24:57.080
|
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them as basically prediction machines so if you fit in and you put in prompt and it can
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01:24:57.080 --> 01:25:01.080
|
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basically you know predict a version of what should come next so you know you like type
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01:25:01.080 --> 01:25:05.080
|
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in a headline for a news story and it can kind of predict what it thinks the story should
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01:25:05.080 --> 01:25:09.080
|
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be or you could train it so that it can be a chatbot right where if you're prompted
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01:25:09.080 --> 01:25:13.080
|
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this question you can get this response but one of the interesting things is it turns
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01:25:13.080 --> 01:25:17.080
|
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out that there's actually nothing specific to using human language in it so if instead
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01:25:17.080 --> 01:25:21.080
|
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of feeding it human language if you use that model architecture for a network and instead
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01:25:21.080 --> 01:25:27.080
|
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you feed it all of the human cell outless data then if you prompt it with a state of a cell
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01:25:27.080 --> 01:25:32.080
|
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it can spit out different versions of like what you know how that cell can interact
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01:25:32.080 --> 01:25:35.080
|
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or different states that the cell could be a next when it interacts with different things so this is
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01:25:35.080 --> 01:25:42.080
|
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so stupid because what he's suggesting is that we have an equivalent understanding
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01:25:42.080 --> 01:25:50.080
|
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of biology that we do of human language that human biology has all these known grammatical
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01:25:50.080 --> 01:25:57.080
|
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rules that we already know and there are very limited set of grammatical rules and so it's
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01:25:57.080 --> 01:26:02.080
|
|
very easy to predict what will come next but without the grammatical rules without any
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01:26:02.080 --> 01:26:06.080
|
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understanding of what the language means without understanding what the words mean after
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01:26:06.080 --> 01:26:12.080
|
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they're read without understanding what the words mean after they're read and then stored
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01:26:12.080 --> 01:26:21.080
|
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never mind what the stored information is then read out again in behavior
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01:26:21.080 --> 01:26:27.080
|
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again this is ridiculously dumb simple this is really bamboozling people and I'm so shocked
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01:26:27.080 --> 01:26:33.080
|
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but this dude right here is being so steamrolled it's like he's an idiot
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01:26:33.080 --> 01:26:38.080
|
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I think he's tried to ask a couple questions but I'm kind of ashamed of him actually
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01:26:38.080 --> 01:26:46.080
|
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I mean he just did he just did a an advertisement about nutrition and health right you know that
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01:26:46.080 --> 01:26:50.080
|
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right and he still isn't asked the question of wait let's get around this for a minute
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01:26:50.080 --> 01:26:53.080
|
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does it have to take a genetics class so for instance if you give it a bunch of genetics
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01:26:53.080 --> 01:26:56.080
|
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do you have to say hey by the way and then you give it a genetics class it would understand
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01:26:56.080 --> 01:27:00.080
|
|
so you know you got DNA RNA mRNA and proteins I think that the basic nature of all these
|
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01:27:00.080 --> 01:27:05.080
|
|
machine learning techniques is there they're basically pattern recognition systems so they're
|
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|
01:27:05.080 --> 01:27:11.080
|
|
these like very deep statistical machines they still require somebody to teach them you still
|
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01:27:11.080 --> 01:27:15.080
|
|
need someone to teach them the English language to give them the rules and to correct them
|
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|
01:27:15.080 --> 01:27:20.080
|
|
when they're wrong for millions of iterations before they start to perform like he's talking
|
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|
01:27:20.080 --> 01:27:27.080
|
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about and so what are you gonna do sit Kevin McCurnan down at a table and say okay what's
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01:27:27.080 --> 01:27:32.080
|
|
this gene mean Kevin type it in what do these two genes mean together type it in what if
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01:27:32.080 --> 01:27:39.080
|
|
this gene's higher than that gene type it in Kevin what the hell is his plan to teach
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01:27:39.080 --> 01:27:48.080
|
|
this model there's no plan they don't have anything to teach it they're gonna put a
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01:27:48.080 --> 01:27:51.080
|
|
bunch of data in there and then what it's gonna mix it around like in a washing machine
|
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|
|
01:27:51.080 --> 01:28:00.080
|
|
it's gonna come out all folded and sorted by color this is this is absolute enchantment
|
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|
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01:28:00.080 --> 01:28:08.080
|
|
it's just downright snake oil and the Zuckerberg for sure is not qualified enough as a as an
|
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|
01:28:08.080 --> 01:28:15.080
|
|
armchair biologist even wax intellectual about these things and you can hear it looks like
|
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|
|
01:28:15.080 --> 01:28:21.080
|
|
this woman is kind of ashamed of them they're very efficient at finding patterns so it's not
|
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|
|
01:28:21.080 --> 01:28:25.080
|
|
actually you don't need to teach a language model that's trying to you know speak a language
|
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|
01:28:25.080 --> 01:28:30.080
|
|
you know a lot of specific things about that language either you just feed it in a bunch
|
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|
01:28:30.080 --> 01:28:35.080
|
|
of examples and then you know let's say you teach it about something in English but then you
|
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|
|
01:28:35.080 --> 01:28:39.080
|
|
also give it a bunch of examples of people speaking Italian it'll actually be able to explain
|
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|
01:28:39.080 --> 01:28:42.080
|
|
the thing that it learned in English and Italian right even though it is so the crossover
|
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|
|
01:28:42.080 --> 01:28:47.080
|
|
and just the pattern recognition is the thing that is pretty profound and powerful about this
|
|
|
|
01:28:47.080 --> 01:28:52.080
|
|
but it really does apply to a lot of different things another example in the scientific community
|
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|
|
01:28:52.080 --> 01:28:57.080
|
|
has been the work that alpha fold you know that basically the folks at DeepMind have done
|
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|
|
01:28:57.080 --> 01:29:02.080
|
|
on protein fold it's you know just basically a lot of the same model architecture but instead
|
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|
|
01:29:02.080 --> 01:29:06.080
|
|
of language there they fold it they kind of fed in all of these protein data and you can
|
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|
01:29:06.080 --> 01:29:10.080
|
|
give it a state and it can spit out solutions to how those proteins get folded so it can
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|
|
01:29:10.080 --> 01:29:14.080
|
|
fit out solutions and then those solutions still have to be checked in the real world against
|
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|
|
01:29:14.080 --> 01:29:20.080
|
|
the real background the specific ribosomes you're using and the specific RNA transcript you're
|
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|
|
01:29:20.080 --> 01:29:28.080
|
|
using in the specific cell type you're using you're lying oversimplifying jackass with
|
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|
|
01:29:28.080 --> 01:29:34.080
|
|
no respect for the sacred biology of a human screw you it's very powerful I don't think
|
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|
|
01:29:34.080 --> 01:29:40.080
|
|
we know yet as an industry what the what the natural limits of it are and that that's
|
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|
|
01:29:40.080 --> 01:29:44.080
|
|
one of the things that's pretty exciting about the current state but it certainly allows you
|
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|
|
01:29:44.080 --> 01:29:49.080
|
|
to solve problems that just weren't solved with the generation of machine learning that came
|
|
|
|
01:29:49.080 --> 01:29:54.080
|
|
before it sounds like CZI is moving a lot of work that was just done in vitro in dishes
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|
|
01:29:54.080 --> 01:30:01.080
|
|
and in vivo in living organisms model organisms are humans to in silico as we say so do you
|
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|
|
01:30:01.080 --> 01:30:07.080
|
|
foresee a future where a lot of biomedical research certainly that the work of CZI included
|
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|
|
01:30:07.080 --> 01:30:12.080
|
|
is done by machines I mean obviously it's much lower cost and you can run millions of experiments
|
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|
01:30:12.080 --> 01:30:16.080
|
|
which of course is not to say that humans are not going to be involved but I love the idea
|
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|
01:30:16.080 --> 01:30:22.080
|
|
that we can run experiments in silico and mass I think the in silica experiments are going
|
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|
01:30:22.080 --> 01:30:30.080
|
|
to be incredibly helpful to test things quickly to cheaply into just unleash a lot of creativity
|
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|
01:30:30.080 --> 01:30:34.080
|
|
I do think you need to be very careful about making sure it still translates and unleash
|
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|
|
01:30:34.080 --> 01:30:46.080
|
|
creativity is rich people talk for wasting people's time matches this humans you know one thing that's funny
|
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|
|
01:30:46.080 --> 01:30:52.080
|
|
in basic sciences we've basically cured every single disease and mice like mice have we know what's
|
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|
01:30:52.080 --> 01:30:57.080
|
|
going on when they have a number of diseases because they're used as a model organism but they are not
|
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|
|
01:30:57.080 --> 01:31:05.080
|
|
used in a lot of times that research is relevant that is such a lie you want to know the truth
|
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|
01:31:05.080 --> 01:31:10.080
|
|
about laboratory mice almost every laboratory mouse if you let them live long they die of cancer
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01:31:10.080 --> 01:31:17.080
|
|
that's what they die of all of the inbred mice in the lab die of cancer all of them
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|
01:31:17.080 --> 01:31:25.080
|
|
and I'm going to vomit a little bit in my throat when I say this but actually the person who
|
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|
|
01:31:25.080 --> 01:31:31.080
|
|
is largely responsible for this story is Brett Weinstein the only scientific paper he ever really
|
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|
|
01:31:31.080 --> 01:31:37.080
|
|
did looked at and made a prediction that it might be that because we're in breeding these mice and
|
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|
01:31:37.080 --> 01:31:43.080
|
|
we're always killing them before they're very old that we might not really be selecting for mice
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|
01:31:43.080 --> 01:31:49.080
|
|
that can fight cancer it turns out it seems like he was kind of right that almost all laboratory
|
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|
|
01:31:49.080 --> 01:31:54.080
|
|
mice that are inbred die of cancer if you let them because of their telomeres and something else they
|
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|
|
01:31:54.080 --> 01:32:00.080
|
|
don't seem to have any cancer fighting mechanisms really left over after all this inbreeding
|
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|
|
01:32:00.080 --> 01:32:07.080
|
|
so we know how to cure all the diseases in mice we know how to cure all the diseases in mice
|
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|
|
01:32:07.080 --> 01:32:19.080
|
|
as Dr Priscilla Chan I'm going to rewind it just so you can hear how just absolutely stupid she
|
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|
|
01:32:19.080 --> 01:32:24.080
|
|
thinks we are in silica experiments are going to be incredibly helpful to test things quickly
|
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|
|
01:32:24.080 --> 01:32:31.080
|
|
to cheaply into just unleash a lot of creativity I do think you need to be very careful about
|
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|
|
01:32:31.080 --> 01:32:38.080
|
|
making sure it still translates and matches this humans you know one thing that's funny in basic
|
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|
|
01:32:38.080 --> 01:32:43.080
|
|
sciences we've basically cured every single disease in mice like mice have we know what's going on
|
|
|
|
01:32:43.080 --> 01:32:48.080
|
|
when they have a number of diseases because they're used as a model organism but they are not humans
|
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|
|
01:32:48.080 --> 01:32:54.080
|
|
and a lot of times that research is relevant but not directly one to one translatable to human
|
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|
|
01:32:54.080 --> 01:33:00.080
|
|
not directly one to one translatable you mean mice lie monkeys mislead and the only way to know what happens
|
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|
|
01:33:00.080 --> 01:33:08.080
|
|
in a human is a human or something like that now you're making it a little grayer we cured all the diseases in mice
|
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|
|
01:33:08.080 --> 01:33:15.080
|
|
can somebody please take away her medical degree can someone please take away her keys to the car
|
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|
|
01:33:15.080 --> 01:33:23.080
|
|
she does not belong distributing money to scientists and encouraging people to do work if this is the kind of
|
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|
|
01:33:23.080 --> 01:33:31.080
|
|
understanding she has of the pattern integrity that is the human being this is just disgusting
|
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|
|
01:33:35.080 --> 01:33:40.080
|
|
so you just have to be really careful about making sure that it actually works for humans
|
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|
|
01:33:41.080 --> 01:33:46.080
|
|
sounds like what CZI is doing is actually creating a new field as I'm hearing all of this
|
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|
01:33:46.080 --> 01:33:52.080
|
|
I'm thinking okay this transcends immunology department you know cardiothoracic surgery I mean neuroscience
|
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|
|
01:33:52.080 --> 01:33:57.080
|
|
the idea of a new field where you certainly embrace the realities of universities and laboratories because that's where
|
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|
|
01:33:57.080 --> 01:34:02.080
|
|
most of the work that you're funding is done is that right so maybe we need to think about what it means to do
|
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|
|
01:34:02.080 --> 01:34:07.080
|
|
science differently and I think that's one of the things that's most exciting and along those lines it seems that
|
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|
01:34:07.080 --> 01:34:13.080
|
|
being together a lot of different types of people different major institutions is going to be especially important
|
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|
|
01:34:13.080 --> 01:34:20.080
|
|
so I know that the initial CZI bio hub gratefully included Stanford we'll put that first in the list
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|
01:34:20.080 --> 01:34:27.080
|
|
but also UCSF forgive me many friends at UCSF and also Berkeley but there are now some additional institutions
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|
01:34:27.080 --> 01:34:31.080
|
|
involved so maybe you talk about that and what motivated the decision to branch outside the bay area
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01:34:31.080 --> 01:34:36.080
|
|
and and why you selected those particular additional institutions to be included
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01:34:36.080 --> 01:34:41.080
|
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well I'll just say part of a big part of why we wanted to create additional bio hubs is we were just so impressed
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01:34:41.080 --> 01:34:47.080
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by the work that the folks who are running the first bio hub did and I also think and you should walk through the work
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01:34:47.080 --> 01:34:51.080
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of the Chicago bio hub and the New York bio hub that we just announced but I think it's actually an interesting
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01:34:51.080 --> 01:34:58.080
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set of examples that balance the limits of what you want to do with like physical material engineering
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01:34:58.080 --> 01:35:04.080
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and and and where things are purely biological because the Chicago team is really building more sensors to build
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01:35:04.080 --> 01:35:09.080
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understand what's going on your body but that's more of like a physical oh the Chicago team is building sensors
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01:35:09.080 --> 01:35:15.080
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to collect data from your body no I see where we're going but you knew that already right
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01:35:15.080 --> 01:35:25.080
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I mean does it surprise you I shouldn't surprise you we've been talking about them chipping you for the last three years
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01:35:26.080 --> 01:35:31.080
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you don't think they're just going to chip you to put your money in your hand do you that would be a waste of time
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01:35:31.080 --> 01:35:34.080
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of course they're going to put a sensor in there
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01:35:34.080 --> 01:35:40.080
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engineering challenge whereas the the New York team we basically talk about this is like a cellular endoscope
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01:35:40.080 --> 01:35:46.080
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of being able to have like an immune cell or something that can go and understand you know what is like what's the thing
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01:35:46.080 --> 01:35:50.080
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that's going on in your body but it's not like a physical piece of hardware it's a cell that you can basically
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01:35:50.080 --> 01:35:56.080
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you know have have just go report out on on on different things that are happening inside the body so you should sell the microscope
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01:35:56.080 --> 01:36:06.080
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totally they're talking about making a cell that can report what's going on in the body to make a cell into a microscope
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01:36:06.080 --> 01:36:16.080
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and she says totally seriously your body but it's not like a physical piece of hardware it's a cell that you can basically
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01:36:16.080 --> 01:36:22.080
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you know have have just go report out on on different things that are happening inside the body so you should sell the microscope
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01:36:22.080 --> 01:36:26.080
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totally and then and then eventually actually being able to act on it but I mean but you should you should go into more detail
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01:36:26.080 --> 01:36:33.080
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on all this so a core principle of how we think about bio hubs it is that it has to be when we invited proposals it has to be at least
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01:36:33.080 --> 01:36:40.080
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three institutions so really breaking down the barrier of a single university oftentimes asking for the people designing the
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01:36:40.080 --> 01:36:48.080
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research aim to come from all different backgrounds and to explain why that the problem that they want to solve requires interdisciplinary
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01:36:48.080 --> 01:36:56.080
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inter-university institution collaboration to actually make happen we just put that request for proposal out there with our San Francisco
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01:36:56.080 --> 01:37:05.080
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bio hub as an example where they've done incredible work in single cell biology and infectious disease and we got I want to say like 57 proposals
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01:37:05.080 --> 01:37:15.080
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from over 150 institutions a lot of ideas came together and you know we are so so excited that we've been able to launch Chicago and New York
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01:37:15.080 --> 01:37:22.080
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Chicago is a collaboration between UIUC, University of Illinois, Urina Champaign and University of Chicago and Northwestern
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01:37:22.080 --> 01:37:29.080
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and if I obviously these universities are multifaceted but if I were to describe them by their like stereotypical strength
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01:37:29.080 --> 01:37:39.080
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Northwestern has an incredible medical system and hospital system University of Chicago brings to the table incredible basic science strengths
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01:37:39.080 --> 01:37:47.080
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University of Illinois is a computing powerhouse and so they came together and proposed that they were going to start thinking about cells in tissue
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01:37:47.080 --> 01:37:55.080
|
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so that one of the one of the layers that you just alluded to so how do the cells that we know behave and act differently when they come together as a
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01:37:55.080 --> 01:38:03.080
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tissue and the first one of the first tissues that they're starting with is skin so they've been already been able to as a collaboration under the leadership of Shana Kelly design
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01:38:03.080 --> 01:38:18.080
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art of engineered skin tissue the architecture looks the same as what's in you and I and what they've done is built these super super thin sensors and they embed these sensors throughout the layers of this engineered tissue
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01:38:18.080 --> 01:38:26.080
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and they read out the data they want to see how these cells what these cells are secreting how these cells talk to each other and what happens when these cells get inflamed
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01:38:26.080 --> 01:38:35.080
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inflammation is an incredibly important process that drives 50% of all deaths and so this is another sort of disease agnostic approach we want to understand inflammation
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01:38:35.080 --> 01:38:46.080
|
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and they're going to get a ton of information out from these sensors that tell you what happens when something goes awry because right now we can say like when you have an allergic reaction your skin gets red and puffy
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01:38:46.080 --> 01:38:57.080
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what is the earliest signal of that and these sensors can look at the behaviors of these cells over time and then you can apply a large language model to look at the earliest statistically significant changes
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01:38:57.080 --> 01:39:12.080
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always about technology implanted and then AI data collection it's always about that even if we already knew how cells work or how skin works
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01:39:12.080 --> 01:39:26.080
|
|
it's not like we never studied it before they are not trying to understand how skin works they're trying to understand how to measure how skin works
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01:39:26.080 --> 01:39:42.080
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that they can then measure you these are products that they plan to put in every person they're not doing skin in a laboratory so they can understand skin in a laboratory so they never have to study you
|
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01:39:42.080 --> 01:39:53.080
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this is dual use stuff here this is big time this is for your children that's the plan
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|
|
01:39:53.080 --> 01:40:09.080
|
|
and she's talking about inflammation curing all disease would really I would assume revolve around understanding the immune system yet for some reason in this talk this is the first time the immune system has ever even really come on the scene
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01:40:09.080 --> 01:40:18.080
|
|
but they're gonna cure all diseases by looking at all the cells in the body well yeah the immune system does inflammation too
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01:40:18.080 --> 01:40:28.080
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that can allow you to intervene as early as possible so that that's what Chicago's doing they're starting in the skin cells they're also looking at the neuromuscular junction
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01:40:28.080 --> 01:40:37.080
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which is the connection between where a neuron attaches to a muscle and tells a muscle how to behave super important in things like ALS but also in aging
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01:40:37.080 --> 01:40:44.080
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the slowed transmission of information across that neuromuscular junction is what causes old people to fall their brain cannot trigger their muscles to react fast enough
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01:40:44.080 --> 01:40:52.080
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and so we want to be able to embed these sensors to understand how these different interconnected systems within our bodies work together
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01:40:52.080 --> 01:40:59.080
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in New York they're doing I think that's a little weird that he's not on that
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01:40:59.080 --> 01:41:10.080
|
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because the reason why people fall is because they can't activate their muscles so they want to look at neuromuscular junctions it has nothing to do with the neurons that feed down
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01:41:10.080 --> 01:41:21.080
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it's really the neuromuscular junction it's not neurons in the brain that are incapable of activating the neurofibers that lead to the muscle
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01:41:22.080 --> 01:41:31.080
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that's a pretty gigantic assumption that I'm almost certain is wrong and I'm almost certain that Huberman could correct her on it but he doesn't want to embarrass her
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01:41:31.080 --> 01:41:41.080
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he doesn't want to embarrass her by saying that your dumb simple model of why old people fall is really like ignoring all three trillion brain cells
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01:41:41.080 --> 01:41:46.080
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if you're looking at the neuromuscular junction
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01:41:46.080 --> 01:41:53.080
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is it really because acetylcholine isn't released on time? has nothing to do with the processing up here?
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01:41:53.080 --> 01:42:01.080
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I mean that kind of statement alone can show you exactly how compromised this whole podcast is
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01:42:01.080 --> 01:42:09.080
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he's done four commercials for products and he's basically asked one hard question that they didn't answer
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01:42:10.080 --> 01:42:20.080
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and since then he's kind of been capitulating and asking increasingly weaker questions that really are just compliments like I think you guys are inventing a whole new field
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01:42:20.080 --> 01:42:25.080
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why don't you just ask him out for dinner?
|
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|
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01:42:25.080 --> 01:42:37.080
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a related but equally exciting project where they're engineering individual cells to be able to go in and identify changes in a human body
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01:42:37.080 --> 01:42:44.080
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so what they'll do is they're calling it a while I mean I love it I mean this is I don't want to go on attention
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01:42:44.080 --> 01:42:50.080
|
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but for those that want to look at adaptive optics you know there's a lot of distortion and interference when you try and look at something really small they're really far away
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01:42:50.080 --> 01:43:00.080
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and really smart physicists figured out well use the interference as part of the microscope make those actually lenses of the microscope
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01:43:00.080 --> 01:43:04.080
|
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it's extremely clever along those lines it's not intuitive but then when you hear it it's like it makes so much sense
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01:43:04.080 --> 01:43:09.080
|
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you know it's not immediately intuitive make the cells that are already can navigate to tissues or embed themselves in tissues
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01:43:09.080 --> 01:43:11.080
|
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be the microscope within that tissue I love it
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01:43:11.080 --> 01:43:17.080
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the way that I explain this to my friends and my family is this is fantastic voyage but real life
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01:43:17.080 --> 01:43:23.080
|
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like we are going into the human body and we're using the immune cells which you know are privileged and already working to keep your body healthy
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01:43:23.080 --> 01:43:31.080
|
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and being able to target them to examine certain things so like you can engineer an immune cell to go in your body and look inside your coronary arteries
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01:43:31.080 --> 01:43:36.080
|
|
and say are these arteries healthy or are there plaques because plaques lead to it
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01:43:36.080 --> 01:43:42.080
|
|
wow so that's a really interesting statement and the cell can then record that information and report it back up
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01:43:42.080 --> 01:43:44.080
|
|
that's the first half of the New York biohub is going to do
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01:43:44.080 --> 01:43:55.080
|
|
fantastic so that's an interesting thing she says that you can program immune cells to go places and then report back what they find
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|
01:43:55.080 --> 01:44:01.080
|
|
now that's some pretty impressive biology I'm gonna have to investigate that claim
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01:44:01.080 --> 01:44:08.080
|
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because what she just described there sounds an awful lot like they know exactly how the immune system works and can make it bend to their will
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01:44:08.080 --> 01:44:15.080
|
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to examine certain things so like you can engineer an immune cell to go in your body and look inside your coronary arteries
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01:44:15.080 --> 01:44:22.080
|
|
and say are these arteries healthy or are there plaques because plaques lead to blockage which lead to heart attacks
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|
01:44:22.080 --> 01:44:28.080
|
|
and the cell can then record that information and report it back up that's the first half of the New York biohub is going to do
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|
|
01:44:28.080 --> 01:44:33.080
|
|
the second half is can you then engineer the cells to go do something about it can I then tell a different cell
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|
|
01:44:33.080 --> 01:44:41.080
|
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I mean cell that is able to transport in your body to go in and clean that up in a targeted way and so it's incredibly exciting
|
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|
01:44:41.080 --> 01:44:49.080
|
|
they're gonna study things that are sort of immune privilege that your immune system normally doesn't have access to things like ovarian and pancreatic cancer
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|
|
01:44:49.080 --> 01:44:57.080
|
|
they'll also look at a number of neurodegenerative diseases since the immune system doesn't it's not really sounding like she's gonna cure all diseases
|
|
|
|
01:44:57.080 --> 01:45:05.080
|
|
it sounds like she's gonna work on some really hard ones someone with really obvious solutions or really obvious phenotypes
|
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|
|
01:45:05.080 --> 01:45:16.080
|
|
it sounds like basically the title of this podcast and the claim that they make in the beginning is just elaborate forward thinking statements
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|
01:45:16.080 --> 01:45:22.080
|
|
that may or may not be accurate
|
|
|
|
01:45:22.080 --> 01:45:35.080
|
|
they just seem like statements that are designed to bamboozle the average person the average carpenter plumber teacher into believing that these ultra smart people with their big words
|
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|
|
01:45:35.080 --> 01:45:46.080
|
|
are so far ahead of us and we might as well just sit back and put more pop tarts in the toaster and log into Netflix
|
|
|
|
01:45:46.080 --> 01:45:57.080
|
|
because you know Robert Malone and Steve Kirsch got the mRNA all wrapped up and AI and everything is and the future of public health is already taken care of by Amazon Health
|
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|
|
01:45:57.080 --> 01:46:06.080
|
|
and Zuckerberg and Free Speech is already controlled by Elon Musk so everything is fine what do I gotta do?
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01:46:06.080 --> 01:46:21.080
|
|
Our children are under attack by these people our children are who they want slowly but surely they are going to separate us from our children by telling our children that our parents
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|
|
01:46:21.080 --> 01:46:33.080
|
|
our skeptical parents are wrong our skeptical parents are selfish our skeptical parents should take our booster and shut up
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|
01:46:33.080 --> 01:46:46.080
|
|
ladies and gentlemen strokes around the world among young people are on the rise and there is no explanation except for transfection
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01:46:46.080 --> 01:46:49.080
|
|
and these people don't care
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01:46:49.080 --> 01:47:11.080
|
|
SIDS deaths are on a rise and people don't care heart attacks are on the rise cancers on the rise auto immune diseases are on the rise and these people don't care because they're going to cure all disease
|
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|
|
01:47:11.080 --> 01:47:27.080
|
|
and we have a ton of access into the nervous system but they it's it's both mind blowing and it feels like sci-fi but science is actually in a place where if you really pushed a group of incredibly qualified scientists say could you do this if given the chance the answer is like
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|
|
01:47:27.080 --> 01:47:40.080
|
|
probably give us enough time the bright team and resources like still give us enough time and a bright team and enough resources in the computing power of the Borg and yeah we can figure out the genome sure no problem
|
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01:47:40.080 --> 01:47:46.080
|
|
give us all the data from all the babies to be born in the next 20 years
|
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|
01:47:47.080 --> 01:47:59.080
|
|
give us enough computing power to shove an AI shove it up an AI is backside and yeah we can probably do it but these are forward looking statements so they may not be accurate
|
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|
01:47:59.080 --> 01:48:14.080
|
|
that's the basic way to summarize this is the basic way to summarize the WEF pitch the the food conferences pitch the TED talks that we see all the time it's all the same nonsense
|
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|
01:48:14.080 --> 01:48:24.080
|
|
it's all these people saying that if they had enough data and they had enough computers and they had enough iPhones on enough people or enough eyewatches on enough people or enough skin
|
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01:48:24.080 --> 01:48:31.080
|
|
skin detectors in enough people that we would gather enough data that eventually an AI would crack the puzzle
|
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01:48:31.080 --> 01:48:44.080
|
|
it is absolutely no different than saying that if the AI plays enough go games it becomes a go master except this isn't go or chess
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|
01:48:44.080 --> 01:48:49.080
|
|
it's a pattern integrity that lives between 80 and 100 years
|
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01:48:49.080 --> 01:49:03.080
|
|
whose internal metabolic pathways and interactions are at best rudimentary understood
|
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|
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01:49:03.080 --> 01:49:11.080
|
|
the arrogance that's on display here and and quite frankly the submission that's on display here is really gross
|
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|
01:49:11.080 --> 01:49:24.080
|
|
because Huberman I thought had a little more respect for the sacredness of the brain for the most unlockable secrets that are probably in the brain
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01:49:24.080 --> 01:49:34.080
|
|
and the idea that the the emergent properties of a pattern integrity are the hardest things to understand and the emergent properties are life
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|
01:49:34.080 --> 01:49:49.080
|
|
the emergent property is behavior the emergent property is consciousness and so to understand the emergent properties of a pattern integrity you can't be a splitter
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|
01:49:49.080 --> 01:49:58.080
|
|
and take it into part all all its little parts and try to understand all the little details of all the little parts and then think at some point if you understand enough of those details
|
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01:49:58.080 --> 01:50:11.080
|
|
that you're going to understand how they sum together because that's not how this works we may never be able to understand how it sums together
|
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|
01:50:11.080 --> 01:50:24.080
|
|
and we're certainly not going to understand how it sums together if the observations that we're making are made on a population that's completely messed up and destroyed by toxins
|
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|
|
01:50:24.080 --> 01:50:41.080
|
|
and by poisons and lack of proper physical behavior what are we going to really learn about the potential of the human genome if we study a bunch of people that are fat lazy and malnourished
|
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01:50:42.080 --> 01:50:55.080
|
|
never mind if we study people that are 20 years fat lazy and malnourished what do we really understand what are we going to understand about the human genomes capabilities and possibilities when we study that
|
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01:50:55.080 --> 01:51:04.080
|
|
what would we really learn about automobiles if we only went to use car lots
|
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|
01:51:04.080 --> 01:51:18.080
|
|
what would we really know about dogs if the only thing we ever studied were I don't know I mean that's that's the best one what would we know about cars if we only went to use car lots
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01:51:18.080 --> 01:51:26.080
|
|
would we really figure out a lot about how cars work we went to a junkyard
|
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|
01:51:27.080 --> 01:51:32.080
|
|
no matter how much data we gathered from a junkyard would we really understand how a car works
|
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|
01:51:35.080 --> 01:51:41.080
|
|
and so you have to also see that from that perspective that this population is kind of useless
|
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|
01:51:42.080 --> 01:51:50.080
|
|
except for with regard to like understanding how RNA gets translated or how RNA might work maybe we need a lot of examples of that maybe that's what they're doing
|
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|
|
01:51:51.080 --> 01:52:00.080
|
|
but I mean if they're not going to start with let's make the population as healthy as possible before we start measuring what the genome does that's pretty stupid
|
|
|
|
01:52:07.080 --> 01:52:13.080
|
|
but that shows you really what we're dealing with here shows you what kind of bamboozlement what kind of snake oil this is
|
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|
|
01:52:14.080 --> 01:52:24.080
|
|
there's people waving their hand and talking big smack about large language models being able to solve the problem of the biological pattern integrity that is a human
|
|
|
|
01:52:26.080 --> 01:52:38.080
|
|
there is no reverence for the sacred here there's no married couple here these are not two people in love these are two people lying
|
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|
01:52:39.080 --> 01:52:44.080
|
|
as part of a governance structure to control the world but more specifically the United States
|
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|
|
01:52:45.080 --> 01:52:48.080
|
|
we are under the control of liars
|
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|
|
01:52:50.080 --> 01:52:57.080
|
|
and we've been under control of liars since before the pandemic but now the pandemic has made it obvious
|
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|
|
01:52:58.080 --> 01:53:13.080
|
|
yeah I mean it's a 10 to 15 year project yeah but it's it's awesome engineered cells yeah I love the optimism and and the moment you said make the cell the microscope so sweet I was like yes yes and yes it just makes so much sense
|
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|
|
01:53:14.080 --> 01:53:20.080
|
|
how does it make sense Huberman explain to me how that works make the cell the microscope
|
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|
|
01:53:20.080 --> 01:53:27.080
|
|
I mean that's just that's part of it it sounds like such a great idea you know but I mean he's smart enough to know that that doesn't make any sense he's smart enough to know to ask one question better than that like how does the cell report it back how do you read it out for example the the example that you gave you send it to the coronary artery to find if there's a plaque how does the how does the immune system
|
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|
|
01:53:50.080 --> 01:54:19.080
|
|
report back to you and tell you that there is a plaque there is that a hard question to ask is that not the most obvious question after someone brags like that after someone lays out this ridiculously cool idea like I'm going to reprogram an immune cell to be a to be a little spy for me and to go into immune privilege places and come back and tell me what it found and you don't even at least have the biological background Dr. Huberman to ask her a follow up question exactly what it's going to do with it.
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01:54:20.080 --> 01:54:31.080
|
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Exactly how does that work is it a B cell it is a T cell a macrophage what are you sending up there in a scene of Phil.
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01:54:31.080 --> 01:54:35.080
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I really liked this guy until this interview.
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01:54:35.080 --> 01:54:46.080
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I really liked a lot of things he has to say about motivation and effort and stoicism and exercise and nutrition and sleep.
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01:54:46.080 --> 01:55:00.080
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It was all of that stuff that really fundamentally good biology on you to be just selling it all down the river because of these two rich head celebrities.
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01:55:00.080 --> 01:55:05.080
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It is absolutely pathetic I'm ashamed of him.
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01:55:06.080 --> 01:55:13.080
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It is a very interesting decision to do this in the context of an existing framework of graduate students that need to do a thesis and get a first author paper.
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01:55:13.080 --> 01:55:28.080
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There is a whole set of structures within academia that I think both facilitate but also limit the progression of science that independent investigator model that we talked about a little bit earlier.
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01:55:28.080 --> 01:55:42.080
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It is so core to the way science has been done this is very different and frankly sounds far more efficient if I'm to be completely honest and you know we'll see if I renew my NIH funding after saying that.
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01:55:42.080 --> 01:55:46.080
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But I think we all want the same thing we all want to as scientists and most ways science.
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01:55:46.080 --> 01:55:57.080
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That independent investigator model that we talked about a little bit earlier it is so core to the way science has been done this is very different and frankly sounds far more efficient if I'm to be completely honest and you know we'll see if I renew my NIH funding after saying that.
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01:55:58.080 --> 01:56:11.080
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How is it far more efficient to have to not have individuals thinking what does he think of himself if he says that far more efficient to do what to.
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01:56:11.080 --> 01:56:17.080
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To organize people around around money how is this any more efficient than what the NIH does.
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01:56:18.080 --> 01:56:22.080
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Just individuals versus groups all behaving the same way then.
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01:56:22.080 --> 01:56:29.080
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Let's get even more people together thinking the same with the same biases as they investigate a scientific problem.
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01:56:29.080 --> 01:56:34.080
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You see how stupid that sounds.
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01:56:34.080 --> 01:56:41.080
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Rather than having independent investigators working tirelessly against and competing with one another.
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01:56:41.080 --> 01:56:49.080
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Essentially checking each other's work to try and make that experiment happen first or that discovery first.
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01:56:49.080 --> 01:56:58.080
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Trying to undermine each other to make sure that that person is lying and not lying or not falsely misrepresenting his results.
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01:56:58.080 --> 01:57:06.080
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There's a lot to be gained by independent science and independent labs and independent principal investigators.
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01:57:06.080 --> 01:57:18.080
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That gets lost when you say let's all write a grant together under the pretense that we're all interested in the same goal and answering the same questions and getting the same answer.
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01:57:18.080 --> 01:57:23.080
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That's the kind of thing they're laughing about right now it's not a more efficient system.
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01:57:23.080 --> 01:57:33.080
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It's a more efficient system to get people to think the same way but it's a far less efficient system if you want to get people to explore novel hypotheses
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01:57:33.080 --> 01:57:38.080
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and steer away from a consensus that's created by rich people who don't know enough.
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01:57:38.080 --> 01:57:40.080
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Let's discuss.
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01:57:40.080 --> 01:57:50.080
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We all want the same thing we all want as scientists and as humans we want to understand the way we work and we want healthy people to persist to be healthy and we want sick people to get healthy.
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01:57:50.080 --> 01:57:53.080
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That's really ultimately the goal it's not super complicated it's just hard to do.
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01:57:53.080 --> 01:58:03.080
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So the teams at the Biohub are actually independent of the universities so each Biohub will probably have in total maybe 50 people working on sort of deep efforts.
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01:58:03.080 --> 01:58:14.080
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However it's an acknowledgement that not all the best scientists who can contribute to this area are actually going to one want to leave a university or want to take on the full-time scope of this project.
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01:58:15.080 --> 01:58:26.080
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So it's the ability to partner with universities and to have the faculty at all the universities be able to contribute to the overall project is how the Biohub is structured.
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01:58:26.080 --> 01:58:27.080
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Got it.
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01:58:27.080 --> 01:58:39.080
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But a lot of the way that we're approaching CZI is this long-term iterative project to try a bunch of different things, figure out which things produce the most interesting results and then double down on those in the next five-year push.
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01:58:39.080 --> 01:58:44.080
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So we just went through this period where we kind of wrapped up the first five years of the science program.
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01:58:44.080 --> 01:58:48.080
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We tried a lot of different models right all kinds of different things and it's not that the Biohub model.
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01:58:48.080 --> 01:58:59.080
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We don't think it's like the best or only model but we found that it was sort of a really interesting way to unlock a bunch of collaboration and bring some technical resources that allow for this longer-term development.
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01:58:59.080 --> 01:59:04.080
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And it's not something that is widely being pursued across the rest of the field.
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01:59:04.080 --> 01:59:07.080
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We figured, okay, this is like an interesting thing that we can help push on.
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01:59:07.080 --> 01:59:10.080
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But I mean, yeah, we do believe in the collaboration.
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01:59:10.080 --> 01:59:17.080
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But I also think that we come at this with, you know, we don't think that the way that we're pursuing this is like the only way to do this or the way that everyone should do it.
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01:59:17.080 --> 01:59:23.080
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We're pretty aware of, you know, that, you know, what is the rest of the ecosystem and how we can play a unique role in it.
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01:59:23.080 --> 01:59:25.080
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It feels very synergistic with the wayside.
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01:59:25.080 --> 01:59:30.080
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It's noticed that he has carnival hands, he has little tiny hands, little carny hands.
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01:59:30.080 --> 01:59:34.080
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That's why he keeps them on his lap because they're so tiny.
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01:59:34.080 --> 01:59:43.080
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Little tiny hands with no calluses and no fingernails, like one thin layer of skin, right?
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01:59:43.080 --> 01:59:48.080
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Because he's never actually had any friction, except for with keyboard keys.
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01:59:48.080 --> 01:59:53.080
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It's already done and also fills in incredibly important niche that frankly wasn't filled before.
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01:59:53.080 --> 01:59:55.080
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Along the lines of implementation.
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01:59:55.080 --> 02:00:06.080
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So let's say your large language models combined with imaging tools reveal that a particular set of genes acting in a cluster, I don't know, set up an organ crash.
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02:00:06.080 --> 02:00:10.080
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Let's say the pancreas crashes at a particular stage of pancreatic cancer.
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02:00:10.080 --> 02:00:15.080
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I mean, still one of the most deadlies of the cancers and there are others that you certainly wouldn't want to get.
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02:00:15.080 --> 02:00:18.080
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But that's among the ones you wouldn't want to get the most.
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02:00:18.080 --> 02:00:26.080
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And then the idea is that, okay, then AI reveals some potential drug targets, then bare out in vitro, in a dish and in a mouse model.
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02:00:26.080 --> 02:00:29.080
|
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How is the actual implementation to drug discovery?
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02:00:29.080 --> 02:00:33.080
|
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Or maybe this target is druggable, maybe it's not, maybe it requires some other approach.
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02:00:33.080 --> 02:00:44.080
|
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So here is Huberman again, playing into the product discovery idea of this model instead of the, how do we figure out how to make people optimally healthy?
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02:00:44.080 --> 02:00:51.080
|
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Not one single discussion about nutrition at baseline health.
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02:00:51.080 --> 02:00:57.080
|
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We are talking about curing diseases, not about making people healthy.
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02:00:57.080 --> 02:01:00.080
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We like people just the way they are.
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02:01:00.080 --> 02:01:05.080
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Because they've got plenty of problems and plenty of potential for profit.
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02:01:05.080 --> 02:01:07.080
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So we're not interested in improving people.
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02:01:07.080 --> 02:01:14.080
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We're interested in improving the way that we cure people, the way that we treat people, the way that we extract wealth from people.
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02:01:14.080 --> 02:01:25.080
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We are interested in increasing the amount of time that we need to interact with them medically so that we can extract as much data from their children as possible in the coming generations.
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02:01:25.080 --> 02:01:31.080
|
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There aren't going to be 10 billion on people on the planet forever, ladies and gentlemen, and these people know it.
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02:01:31.080 --> 02:01:41.080
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Because these people are part of a group of people that has a plan to make sure that in the coming generations there aren't 10 billion people anymore.
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02:01:41.080 --> 02:01:48.080
|
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That's why these same people aren't telling you that our population in pyramid is almost inverted now.
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02:01:48.080 --> 02:01:59.080
|
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That's why these same people aren't talking about Japan's population pyramid or China's population pyramid and what that means in 50 years for the population of the planet.
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02:01:59.080 --> 02:02:05.080
|
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None of them actually want to tell you that they know already the demographics of the planet are going to crash.
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02:02:05.080 --> 02:02:09.080
|
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And they know the consequences of that are going to be severe.
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02:02:09.080 --> 02:02:18.080
|
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And that they're going to be able to use all kinds of the problems that are caused by this demographic crash, this change in resources.
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02:02:19.080 --> 02:02:29.080
|
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They're going to be able to use that to coerce our children into accepting digital ID because they will already by then have accepted digital currency.
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02:02:29.080 --> 02:02:35.080
|
|
And so by that time it will be a salesman pitch of convenience.
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02:02:36.080 --> 02:02:49.080
|
|
I mean, if you've got to carry your digital money around in a little wallet like this, wouldn't it be better to have it on a ring?
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02:02:49.080 --> 02:02:52.080
|
|
And then people can steal your ring when you're in the shower.
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02:02:52.080 --> 02:02:57.080
|
|
So maybe you should just, you know, put it around your neck and it'll be waterproof.
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02:02:57.080 --> 02:03:02.080
|
|
Or maybe we'll just put it under your skin right here by your watch.
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02:03:02.080 --> 02:03:05.080
|
|
And then no one can ever steal it. No one can ever fake it. No one can ever.
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02:03:05.080 --> 02:03:08.080
|
|
And we will let you use it on the Internet too.
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|
02:03:08.080 --> 02:03:14.080
|
|
So you'll have a sovereign identity on the Internet that will interface with your bank account.
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|
02:03:14.080 --> 02:03:17.080
|
|
And we'll have all your medical data on it. It'll be so convenient.
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|
02:03:17.080 --> 02:03:21.080
|
|
And that way you won't have to have paperwork and passports and all this other stuff.
|
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|
02:03:21.080 --> 02:03:27.080
|
|
And you can just travel wherever you want if you have the approved numbers.
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|
02:03:27.080 --> 02:03:30.080
|
|
It's all convenient and safe.
|
|
|
|
02:03:30.080 --> 02:03:36.080
|
|
Because your children are going to be brainwashed into being afraid of anonymous people on the Internet.
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|
02:03:36.080 --> 02:03:45.080
|
|
Your kids are going to be tortured and harassed by anonymous people on the Internet until you beg for ID on the Internet.
|
|
|
|
02:03:45.080 --> 02:03:52.080
|
|
People's money and banks are going to be contorted and destroyed until people beg for digital currency.
|
|
|
|
02:03:52.080 --> 02:03:58.080
|
|
They're already talking about a universal basic income in Canada.
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|
|
02:03:58.080 --> 02:04:02.080
|
|
And they're already talking about a universal basic income in the Netherlands.
|
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|
|
02:04:05.080 --> 02:04:11.080
|
|
The craziest part about that is that I have this cousin over in the Netherlands who has been totally on board
|
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|
|
02:04:11.080 --> 02:04:15.080
|
|
with everything that I've been saying since the beginning of the pandemic.
|
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|
|
02:04:15.080 --> 02:04:25.080
|
|
And suddenly, suddenly, that person is now actively campaigning for a universal basic income in the Netherlands.
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|
02:04:25.080 --> 02:04:28.080
|
|
Like, I couldn't even believe it.
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|
|
|
02:04:28.080 --> 02:04:44.080
|
|
After all this time, thinking that he understood exactly what we were up against, he is now on television as part of a political party advocating for universal basic income in the Netherlands.
|
|
|
|
02:04:45.080 --> 02:04:56.080
|
|
Where that entire society is being torn apart by immigrants and the concessions being made to immigrants and not being made to Dutch citizens, it's extraordinary.
|
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|
|
02:04:56.080 --> 02:05:08.080
|
|
A country, a quarter of the size of Pennsylvania was 17 million people in it, accepting thousands of refugees a year.
|
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|
|
02:05:09.080 --> 02:05:17.080
|
|
Is looking to start universal basic income. If one EU country starts universal basic income, where does that go?
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|
|
02:05:17.080 --> 02:05:21.080
|
|
How does that work in a union like that?
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|
|
|
02:05:21.080 --> 02:05:25.080
|
|
They are all lost.
|
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|
|
02:05:25.080 --> 02:05:28.080
|
|
And we are almost lost.
|
|
|
|
02:05:28.080 --> 02:05:32.080
|
|
Because we are being governed by people who are not elected.
|
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|
|
02:05:33.080 --> 02:05:39.080
|
|
We are being governed by weaponized piles of money like Black Rock State Street, etc.
|
|
|
|
02:05:39.080 --> 02:05:53.080
|
|
And the people who sit atop those weaponized piles of money like Elon Musk and Peter Teal, Mark Zuckerberg and Priscilla Chan, Bill and Melinda Gates.
|
|
|
|
02:05:53.080 --> 02:05:58.080
|
|
These weaponized piles of money also include weaponized piles of money in government.
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|
|
02:05:58.080 --> 02:06:01.080
|
|
That's for sure.
|
|
|
|
02:06:01.080 --> 02:06:08.080
|
|
But we are pivoting, ladies and gentlemen, we are pivoting to the private weaponized piles of money.
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|
|
02:06:08.080 --> 02:06:14.080
|
|
We are cau-towing to them. The US government cau-tows to those weaponized piles of money.
|
|
|
|
02:06:14.080 --> 02:06:26.080
|
|
The Saudis, the Israelis, the private banks, the central banks, the world bank, the international bank of settlements.
|
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|
|
02:06:26.080 --> 02:06:35.080
|
|
These are all groups of people with more power than our government, because they control our government.
|
|
|
|
02:06:35.080 --> 02:06:43.080
|
|
And so we all need to wake up and apologize for having been asleep at the wheel and for losing control of our nation.
|
|
|
|
02:06:43.080 --> 02:06:49.080
|
|
And now we need to put our big boy pants on and take our nation back.
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|
|
02:06:49.080 --> 02:06:55.080
|
|
From people that are liars, it should be very easy because they are just liars.
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|
|
02:06:55.080 --> 02:07:00.080
|
|
That's all they are liars.
|
|
|
|
02:07:00.080 --> 02:07:05.080
|
|
Liars liars liars. And the liars have worked on one thing in particular.
|
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|
|
02:07:05.080 --> 02:07:12.080
|
|
They've worked on an illusion of consensus about pandemic potential.
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|
|
02:07:12.080 --> 02:07:16.080
|
|
And Zuckerberg and Chan, they agree fully with this pandemic potential.
|
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|
|
02:07:16.080 --> 02:07:19.080
|
|
They agree that the millions were killed by the virus.
|
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|
02:07:19.080 --> 02:07:25.080
|
|
They agree that the mRNA saved people. They won't question any of that, of course.
|
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|
|
02:07:25.080 --> 02:07:28.080
|
|
And so they are a part of this illusion of consensus.
|
|
|
|
02:07:28.080 --> 02:07:32.080
|
|
Just the fact that they had that podcast about biology and public health
|
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|
|
02:07:32.080 --> 02:07:38.080
|
|
and had no mention of a pandemic or the vaccines, except to say that as Mark said,
|
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|
|
02:07:38.080 --> 02:07:44.080
|
|
we had to have vaccines before we could cure things.
|
|
|
|
02:07:44.080 --> 02:07:48.080
|
|
This illusion of consensus that this immunomythology makes any sense.
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|
|
02:07:48.080 --> 02:07:52.080
|
|
This is all part of that.
|
|
|
|
02:07:52.080 --> 02:07:54.080
|
|
And so I've explained this many times.
|
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|
|
02:07:54.080 --> 02:08:00.080
|
|
They've declared a dangerous novel virus detectable by a PCR test.
|
|
|
|
02:08:00.080 --> 02:08:04.080
|
|
But I think it's important that we think about it this way.
|
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|
|
02:08:04.080 --> 02:08:10.080
|
|
If there was a mystery virus that is encoded by that red curve down here,
|
|
|
|
02:08:10.080 --> 02:08:13.080
|
|
we need to do some math on that.
|
|
|
|
02:08:13.080 --> 02:08:18.080
|
|
And I think that all of the liars in this theater do not do this math.
|
|
|
|
02:08:18.080 --> 02:08:26.080
|
|
So if you want to know what the real total excess deaths that the mystery virus caused,
|
|
|
|
02:08:26.080 --> 02:08:32.080
|
|
you need to take and figure out what the excess deaths are here as a total.
|
|
|
|
02:08:32.080 --> 02:08:35.080
|
|
And then from that total subtract the following.
|
|
|
|
02:08:35.080 --> 02:08:40.080
|
|
You need to subtract all the people that were killed in New York City, not by a virus,
|
|
|
|
02:08:40.080 --> 02:08:43.080
|
|
including do not resuscitate orders.
|
|
|
|
02:08:43.080 --> 02:08:50.080
|
|
And everywhere around the United States in the world where that was done because of a deadly virus that they didn't want to spread.
|
|
|
|
02:08:50.080 --> 02:08:55.080
|
|
You need to subtract from that all the people that were ventilated that shouldn't have been ventilated.
|
|
|
|
02:08:55.080 --> 02:09:01.080
|
|
You need to subtract to them that all of the people that didn't get antibiotics that should have gotten antibiotics.
|
|
|
|
02:09:01.080 --> 02:09:10.080
|
|
You need to subtract from that all of the people who were either given steroids inappropriately or not given steroids when they were appropriate.
|
|
|
|
02:09:10.080 --> 02:09:19.080
|
|
You need to subtract all of the extra opioid deaths from this excess because everybody that dies of an opioid death is not an expected death.
|
|
|
|
02:09:19.080 --> 02:09:21.080
|
|
Those are excess deaths.
|
|
|
|
02:09:21.080 --> 02:09:30.080
|
|
We don't expect 150,000 people to die of opioid deaths and that's not figured into this blue line over here.
|
|
|
|
02:09:31.080 --> 02:09:47.080
|
|
The change from this pattern that you see year on year on year, this change right here cannot be understood as a pandemic until you remove all of these things and everything else included there.
|
|
|
|
02:09:49.080 --> 02:09:53.080
|
|
In order to understand where this excess deaths came from.
|
|
|
|
02:09:54.080 --> 02:10:06.080
|
|
And the curious thing about Denny Rancor's data which is most powerful with regard to this list is that the deaths from COVID in the United States correlate with poverty.
|
|
|
|
02:10:06.080 --> 02:10:09.080
|
|
You know what else correlates with poverty?
|
|
|
|
02:10:09.080 --> 02:10:11.080
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Bad treatment in the hospitals.
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02:10:11.080 --> 02:10:15.080
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You know what else correlates with poverty? Opioid deaths.
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02:10:15.080 --> 02:10:26.080
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And yet they want you to believe that a million people were killed by viruses. Everything else is just normal.
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02:10:26.080 --> 02:10:29.080
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And that's the lie.
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02:10:29.080 --> 02:10:32.080
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That's the lie that everybody's telling.
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02:10:32.080 --> 02:10:41.080
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And it's quite frankly the lie that everybody tells when they say that there's DNA in the shots and so the adulteration is there and therefore we can sue them.
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02:10:41.080 --> 02:10:44.080
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Why is that the case?
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02:10:44.080 --> 02:10:51.080
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It's a lie because we should never have had the shots in the first place because of this list.
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02:10:51.080 --> 02:10:55.080
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This list is the reason why we have the shot.
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02:10:55.080 --> 02:10:58.080
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So the shots contaminated big deal.
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02:10:58.080 --> 02:11:05.080
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We should have never had the shot if any of you idiots would have spoke up when you should have instead of now about the DNA.
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02:11:05.080 --> 02:11:08.080
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But you had spoke up in the beginning.
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02:11:08.080 --> 02:11:11.080
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When we knew they were lying we just didn't know how badly.
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02:11:11.080 --> 02:11:13.080
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None of this would have happened.
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02:11:13.080 --> 02:11:18.080
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If Robert Malone would have pulled his head out in 2020 none of this would have happened.
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02:11:18.080 --> 02:11:26.080
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If Steve Kirsch would have pulled his head out in 2020 none of this would have happened.
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02:11:26.080 --> 02:11:37.080
|
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If Brett Weinstein would have pulled his head out maybe none of this would have happened but none of those people that are now leaders of this movement will speak about this list and do this math correctly.
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02:11:37.080 --> 02:11:45.080
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Every one of those people says that a million people were killed by a virus.
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02:11:45.080 --> 02:11:50.080
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None of those people will do this math and that's why they are liars.
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02:11:50.080 --> 02:12:01.080
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And if you're going to focus on the DNA and the shot at least admit that the shot should have never come out in the first place and wouldn't have come out in the first place had they not done these things.
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02:12:01.080 --> 02:12:09.080
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Had they not allowed the opioid deaths to go skyrocketing in the United States there wouldn't have been enough excess deaths to make a stink over.
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02:12:09.080 --> 02:12:24.080
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If they wouldn't have put enough people on ventilators or stop the use of antibiotics or stop the use of steroids correctly or implemented the use of remdesivir everywhere there wouldn't have been enough excess deaths to blame on anything.
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02:12:25.080 --> 02:12:32.080
|
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There wouldn't be any of that there wouldn't be this part of the graph here.
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02:12:32.080 --> 02:12:43.080
|
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And the reason why is because if you subtract all of these things it goes right back to this seasonal pattern of between 50 and 60,000 deaths per week.
|
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02:12:43.080 --> 02:12:49.080
|
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The only reason why it's shot up for four weeks in America is because of New York City and a few other places.
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02:12:49.080 --> 02:12:56.080
|
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And the only reason why it's shot up in the next winter is because of these things.
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02:12:56.080 --> 02:13:12.080
|
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Because of the use of a PCR test to convert what would have been just pneumonia and a respiratory disease to something that they knew how to treat incorrectly and had a million different ways of doing it.
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02:13:12.080 --> 02:13:18.080
|
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And the fact of the matter is is that most people can't tell the whole story.
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02:13:18.080 --> 02:13:21.080
|
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They never bothered to.
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02:13:21.080 --> 02:13:26.080
|
|
And now that's what you see in spades with this DNA adulteration.
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02:13:26.080 --> 02:13:35.080
|
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They're going to try and pretend the transfection wasn't bad it was the DNA and we know this story already because we did it with spike.
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02:13:35.080 --> 02:13:49.080
|
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We did it with RNA impurities and then we did it with the LNP.
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02:13:49.080 --> 02:13:52.080
|
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This is the way it should have been.
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02:13:52.080 --> 02:13:58.080
|
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And nobody's doing this math because they don't want to admit that there is no excuse.
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02:13:58.080 --> 02:14:01.080
|
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They only excuses were manufactured.
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02:14:01.080 --> 02:14:09.080
|
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The only excuses were fear uncertainty and doubt that drove people to do really stupid things for three years.
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02:14:09.080 --> 02:14:19.080
|
|
And I went to a doctor's office today and half the people were wearing masks so this has driven people to do stupid things for three and a half years.
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02:14:19.080 --> 02:14:29.080
|
|
People are still confused, still in fear, still frustrated, still having doubts because of the effectiveness of these lies.
|
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|
02:14:29.080 --> 02:14:37.080
|
|
Because of the effectiveness of this illusion of consensus because of the effectiveness of these liars.
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|
02:14:37.080 --> 02:14:46.080
|
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Because of the lack of integrity of these liars.
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02:14:46.080 --> 02:14:56.080
|
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They created an illusion of consensus about a mystery that didn't need to be solved and that illusion of consensus created confusion that led us to believe we didn't understand what was going on.
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02:14:56.080 --> 02:15:09.080
|
|
And because we didn't understand what was going on doctors followed all kinds of orders they never would have and behaved in ways they never would have had they not been thoroughly lied to.
|
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02:15:09.080 --> 02:15:19.080
|
|
And now I'm not giving doctors on out I'm telling you right now I think every doctor that's going along with this is an idiot.
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|
02:15:19.080 --> 02:15:28.080
|
|
But I also have faith that those people when they figure it out they'll actually realize well I wasn't an idiot just like I was.
|
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02:15:28.080 --> 02:15:35.080
|
|
Just like you got to tell somebody when they're overweight you got to tell people when they're idiots.
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|
02:15:35.080 --> 02:15:42.080
|
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And some of these these people need to be told that your assumption is that the TV doesn't lie.
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02:15:42.080 --> 02:15:46.080
|
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Your assumption is that trillions of dollars won't make people behave badly.
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|
02:15:46.080 --> 02:15:56.080
|
|
Your assumption is is that power doesn't corrupt.
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|
|
02:15:56.080 --> 02:16:02.080
|
|
That's the assumption that every skilled TV watcher has now been bamboozled into making.
|
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|
|
02:16:02.080 --> 02:16:05.080
|
|
Money doesn't corrupt power doesn't corrupt.
|
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|
|
02:16:05.080 --> 02:16:13.080
|
|
There's no incentive to lie and that people would not use lies to govern a world.
|
|
|
|
02:16:13.080 --> 02:16:17.080
|
|
A planet.
|
|
|
|
02:16:17.080 --> 02:16:22.080
|
|
But these same people sit on their couch and they know damn well they're being governed.
|
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|
|
02:16:22.080 --> 02:16:26.080
|
|
They know damn well they're being governed.
|
|
|
|
02:16:26.080 --> 02:16:35.080
|
|
They think that Trump lies they think the Democrats lie they think the Republicans lie.
|
|
|
|
02:16:35.080 --> 02:16:43.080
|
|
It's all a great big show it's an illusion of consensus that makes you believe there's nothing to solve.
|
|
|
|
02:16:43.080 --> 02:16:45.080
|
|
The way it worked was really simple.
|
|
|
|
02:16:45.080 --> 02:16:52.080
|
|
They told you there was a lab leak and then they told you it spread around and at the same time they argued about it.
|
|
|
|
02:16:52.080 --> 02:16:53.080
|
|
They lied about it.
|
|
|
|
02:16:53.080 --> 02:16:56.080
|
|
They sent emails about it and then redacted the emails.
|
|
|
|
02:16:56.080 --> 02:17:01.080
|
|
They kept telling you that new variants were circulating as almicron now.
|
|
|
|
02:17:01.080 --> 02:17:06.080
|
|
Maybe it was released by a good guy to vaccinate the world.
|
|
|
|
02:17:06.080 --> 02:17:10.080
|
|
And now we hear our whatever variant we are now.
|
|
|
|
02:17:10.080 --> 02:17:19.080
|
|
In this scenario of course we color the yellow red because the lockdowns hurt some people but it's a gain of function virus.
|
|
|
|
02:17:19.080 --> 02:17:25.080
|
|
In this scenario we've defeated epidemics in the past using vaccination and there's an illusion of consensus about that.
|
|
|
|
02:17:25.080 --> 02:17:33.080
|
|
There's an illusion of consensus about pandemic potential and an illusion of consensus about rare false positives with PCR.
|
|
|
|
02:17:33.080 --> 02:17:43.080
|
|
An illusion of consensus about variants and the fact that the virus might be mutating in response to the RNA because it works so well.
|
|
|
|
02:17:43.080 --> 02:17:48.080
|
|
And gain of function research is real.
|
|
|
|
02:17:49.080 --> 02:17:52.080
|
|
The faith is a lie.
|
|
|
|
02:17:52.080 --> 02:18:01.080
|
|
They've used a conflated background signal to trick people into killing each other and ignoring it.
|
|
|
|
02:18:01.080 --> 02:18:07.080
|
|
It's a mythology that we are being governed by and the protocols were murder and transfection is not medicine.
|
|
|
|
02:18:07.080 --> 02:18:11.080
|
|
I believe the best description is probably an infectious clone release.
|
|
|
|
02:18:11.080 --> 02:18:14.080
|
|
It's the simplest one in my mind.
|
|
|
|
02:18:15.080 --> 02:18:19.080
|
|
But it could have been a transfection with a different agent in different places.
|
|
|
|
02:18:19.080 --> 02:18:23.080
|
|
I don't know with that background.
|
|
|
|
02:18:23.080 --> 02:18:30.080
|
|
I do know for sure that this is not the right answer.
|
|
|
|
02:18:30.080 --> 02:18:36.080
|
|
And I do know for sure that the players are not addressing these things.
|
|
|
|
02:18:36.080 --> 02:18:43.080
|
|
I don't know I feel like I'm kind of ending on a weak note but I'm tired and I'm annoyed.
|
|
|
|
02:18:43.080 --> 02:18:46.080
|
|
And I didn't think I would get so annoyed by Zuckerberg and Chan.
|
|
|
|
02:18:46.080 --> 02:18:49.080
|
|
I thought it was going to be funnier.
|
|
|
|
02:18:49.080 --> 02:18:56.080
|
|
But I guess I'm getting more and more insulted by the lack of reverence, the lack of humbleness.
|
|
|
|
02:18:56.080 --> 02:19:10.080
|
|
And it's a bit like, I don't know, it's hard for me to explain really how sad that kind of thought process makes me.
|
|
|
|
02:19:10.080 --> 02:19:14.080
|
|
It's a little bit of arrogance and a little bit of naivety and it's a lot of lying.
|
|
|
|
02:19:14.080 --> 02:19:17.080
|
|
Because I know that they know that they're also lying.
|
|
|
|
02:19:17.080 --> 02:19:19.080
|
|
They're deceiving children.
|
|
|
|
02:19:19.080 --> 02:19:23.080
|
|
They're deceiving people who aren't sophisticated enough to know they're being deceived.
|
|
|
|
02:19:23.080 --> 02:19:30.080
|
|
And they're doing it happily as part of the group of people that governs us.
|
|
|
|
02:19:30.080 --> 02:19:39.080
|
|
That's why there's a picture of Zuckerberg and all these other people having a dinner right before Obama is elected.
|
|
|
|
02:19:39.080 --> 02:19:45.080
|
|
Toasting glasses.
|
|
|
|
02:19:45.080 --> 02:19:47.080
|
|
We are being governed by these people.
|
|
|
|
02:19:47.080 --> 02:19:51.080
|
|
They are working together behind the scenes to govern us with lies.
|
|
|
|
02:19:51.080 --> 02:19:55.080
|
|
And they may even be controlling our government with these lies.
|
|
|
|
02:19:55.080 --> 02:19:59.080
|
|
Because the people in our government for the most part aren't that bright.
|
|
|
|
02:19:59.080 --> 02:20:04.080
|
|
I think that was one thing that you can take to the bank now.
|
|
|
|
02:20:04.080 --> 02:20:08.080
|
|
For every Thomas Massey there's about 500 people that are idiots.
|
|
|
|
02:20:08.080 --> 02:20:15.080
|
|
So these are the easiest kinds of people to control.
|
|
|
|
02:20:15.080 --> 02:20:20.080
|
|
The people in our government now are the most ridiculous jokes.
|
|
|
|
02:20:20.080 --> 02:20:23.080
|
|
It's a big clown show and that's what they wanted.
|
|
|
|
02:20:23.080 --> 02:20:28.080
|
|
Because this is a controlled demolition of America.
|
|
|
|
02:20:28.080 --> 02:20:32.080
|
|
It's going to get worse.
|
|
|
|
02:20:32.080 --> 02:20:34.080
|
|
There are going to be more clowns in government.
|
|
|
|
02:20:34.080 --> 02:20:36.080
|
|
There's going to be more clowning in government.
|
|
|
|
02:20:36.080 --> 02:20:40.080
|
|
No matter what happens in 2024 it's going to be clowning.
|
|
|
|
02:20:40.080 --> 02:20:48.080
|
|
There's a few different scenarios but they're all clowning.
|
|
|
|
02:20:48.080 --> 02:20:50.080
|
|
This is where we're at.
|
|
|
|
02:20:50.080 --> 02:20:53.080
|
|
This is where they're going.
|
|
|
|
02:20:53.080 --> 02:20:57.080
|
|
And if you want to escape you just got to learn the biology that underpins this.
|
|
|
|
02:20:57.080 --> 02:21:03.080
|
|
Understand what transfection is and why it's not immunization and understand why actually
|
|
|
|
02:21:03.080 --> 02:21:06.080
|
|
the intramuscular injection of pretty much anything is dumb.
|
|
|
|
02:21:06.080 --> 02:21:11.080
|
|
If you're trying to augment the immune system of a healthy human.
|
|
|
|
02:21:11.080 --> 02:21:17.080
|
|
Please stop all transfections in humans and they are trying to eliminate the control group by any means necessary.
|
|
|
|
02:21:17.080 --> 02:21:22.080
|
|
So Mike Vandenberg mixed date.
|
|
|
|
02:21:22.080 --> 02:21:28.080
|
|
Didn't I put that one up there? I thought I put this one up there.
|
|
|
|
02:21:28.080 --> 02:21:30.080
|
|
That's what I thought I put up there. Sorry about that.
|
|
|
|
02:21:30.080 --> 02:21:33.080
|
|
I did that last night too.
|
|
|
|
02:21:33.080 --> 02:21:37.080
|
|
I don't know. I feel like I kind of blew it on this one because I got so negative.
|
|
|
|
02:21:37.080 --> 02:21:40.080
|
|
So I apologize for that.
|
|
|
|
02:21:40.080 --> 02:21:44.080
|
|
It's been a long day.
|
|
|
|
02:21:44.080 --> 02:21:49.080
|
|
And I'm very happy to say that I've had more energy today than I've had in a long, long time.
|
|
|
|
02:21:49.080 --> 02:21:54.080
|
|
Two nights in a row of sleeping has been miracle.
|
|
|
|
02:21:54.080 --> 02:21:59.080
|
|
And so I have pretty high hopes that this energy is going to keep building.
|
|
|
|
02:21:59.080 --> 02:22:05.080
|
|
So let me give the cords a rest and I'll see you guys again tomorrow.
|
|
|
|
02:22:05.080 --> 02:22:34.080
|
|
And there it is, right? That's the alpha fold nonsense that they made and told everybody that now we know how old proteins
|
|
|
|
02:22:34.080 --> 02:22:41.080
|
|
fold.
|
|
|
|
02:22:41.080 --> 02:22:46.080
|
|
Don't forget to follow that Jeff from Earth link that he puts in there every night.
|
|
|
|
02:22:46.080 --> 02:22:52.080
|
|
Jeff from Earth is one of my best supporters, my longest supporters.
|
|
|
|
02:22:52.080 --> 02:22:58.080
|
|
And he makes Instagram cuts of my streams and they're always really good.
|
|
|
|
02:22:58.080 --> 02:23:06.080
|
|
And he's been doing it for a long time. For goodness sakes, please share that dude's work and spread it around.
|
|
|
|
02:23:06.080 --> 02:23:11.080
|
|
Because those shorts are probably a lot of times better than three hour shares.
|
|
|
|
02:23:11.080 --> 02:23:17.080
|
|
So anyway, thanks guys. I'll see you guys again tomorrow.
|
|
|