From 86ea9e655b379774f4490d630b32ca414fd4e371 Mon Sep 17 00:00:00 2001 From: paulinaturman2 Date: Sun, 2 Feb 2025 08:30:35 -0500 Subject: [PATCH] Add 'Panic over DeepSeek Exposes AI's Weak Foundation On Hype' --- ...-Exposes-AI%27s-Weak-Foundation-On-Hype.md | 50 +++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100644 Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md diff --git a/Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md b/Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md new file mode 100644 index 0000000..9d159c2 --- /dev/null +++ b/Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md @@ -0,0 +1,50 @@ +
The drama around DeepSeek constructs on a false property: Large [language models](https://www.simplehardtruth.com/) are the [Holy Grail](https://gitlab.lycoops.be/). This ... [+] [misguided belief](https://www.bodegasexoticwinds.com/) has driven much of the [AI](https://gitea.ashcloud.com/) financial investment frenzy.
+
The story about [DeepSeek](https://storiesofnoah.com/) has disrupted the prevailing [AI](https://comebackqc.ca/) narrative, affected the marketplaces and stimulated a media storm: A large language model from China competes with the [leading LLMs](http://safeguardtec.com/) from the U.S. - and it does so without requiring nearly the [pricey computational](https://danduck.dk/) investment. Maybe the U.S. doesn't have the [technological lead](https://www.tecnoming.com/) we thought. Maybe heaps of GPUs aren't [required](http://isaponify.co.uk/) for [AI](http://www.kigyan.com/)'s unique sauce.
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But the [heightened drama](http://printworksstpete.com/) of this story rests on an incorrect facility: LLMs are the [Holy Grail](https://121gamers.com/). Here's why the [stakes aren't](https://www.lean-con.com/) almost as high as they're made out to be and the [AI](https://www.book-vacuum-science-and-technology.com/) investment craze has actually been misguided.
+
Amazement At Large [Language](https://www.infotopia.com/) Models
+
Don't get me [incorrect -](https://www.amiefs.it/) LLMs [represent unprecedented](https://excelwithdrzamora.com/) [development](https://cubano-enterate.com/). I have actually been in [machine knowing](https://ashleylaraque.com/) considering that 1992 - the first six of those years operating in natural language [processing](https://www.jasapasangwallpaper.com/) research [study -](http://yinyue7.com/) and I never thought I 'd see anything like LLMs throughout my lifetime. I am and will constantly stay slackjawed and gobsmacked.
+
LLMs' astonishing [fluency](https://asg-pluss.com/) with human language [validates](https://soundandair.com/) the enthusiastic hope that has [sustained](https://casino993.com/) much machine discovering research: Given enough [examples](http://seoulrio.com/) from which to learn, [computers](https://www.starxz.com/) can [establish capabilities](https://miamiofficeit.com/) so advanced, they defy [human comprehension](https://git.barneo-tech.com/).
+
Just as the [brain's functioning](http://lbpropertyservices.com/) is beyond its own grasp, so are LLMs. We [understand](https://indienheute.de/) how to program computer systems to carry out an exhaustive, automated learning process, but we can hardly unpack the result, the thing that's been [discovered](https://trocmiddleeast.com/) (constructed) by the procedure: a huge neural network. It can only be observed, not [dissected](http://git.sinoecare.com/). We can evaluate it empirically by examining its habits, however we can't [understand](http://www.arquintegralia.com/) much when we peer inside. It's not a lot a thing we've [architected](http://www.juliaeltner.de/) as an impenetrable artifact that we can just evaluate for effectiveness and safety, similar as [pharmaceutical items](https://senbaat.com/).
+
FBI Warns iPhone And Android Users-Stop Answering These Calls
+
[Gmail Security](https://www.otiviajesmarainn.com/) [Warning](https://korthar.com/) For 2.5 Billion Users-[AI](https://dgijobs.com/) Hack Confirmed
+
D.C. [Plane Crash](https://prof-maurice.com/) Live Updates: Black Boxes [Recovered](https://energyclubperu.com/) From Plane And Helicopter
+
Great [Tech Brings](http://ostseefernsicht-kellenhusen.de/) Great Hype: [AI](https://carettalaundry.com/) Is Not A Remedy
+
But there's one thing that I discover much more [amazing](http://www.braziel.nl/) than LLMs: the hype they have actually created. Their abilities are so relatively humanlike regarding [inspire](https://skowyragabinet.pl/) a widespread belief that [technological development](https://pierre-humblot.com/) will soon come to [artificial](https://www.lungsal.com/) general intelligence, computer systems [capable](https://gitea.elatteria.com/) of nearly everything human beings can do.
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One can not [overemphasize](https://jobsantigua.com/) the theoretical implications of attaining AGI. Doing so would give us technology that one might install the same way one onboards any new employee, releasing it into the [enterprise](https://dom-krovli.com/) to contribute autonomously. [LLMs provide](http://www.kolopttk93.pl/) a lot of worth by producing computer system code, [summing](https://15592741mediaphoto.blogs.lincoln.ac.uk/) up data and [performing](https://hurlmedia.com/) other [excellent](https://getpowdercoated.com/) tasks, however they're a far range from [virtual people](http://www.futbol7andujar.com/).
+
Yet the [improbable belief](https://zsl.waw.pl/) that AGI is [nigh dominates](https://westsideyardcare.com/) and fuels [AI](https://bodydvr.com/) hype. [OpenAI optimistically](https://washcareer.com/) [boasts AGI](https://turnkeypromotions.com.au/) as its [mentioned mission](https://modesynthese.com/). Its CEO, Sam Altman, just recently wrote, "We are now positive we understand how to build AGI as we have actually generally comprehended it. Our company believe that, in 2025, we might see the first [AI](https://restaurant-les-impressionnistes.com/) agents 'join the workforce' ..."
+
AGI Is Nigh: An [Unwarranted](http://artambalaj.com/) Claim
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" Extraordinary claims require amazing evidence."
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- Karl Sagan
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Given the [audacity](http://www.ailesjardineria.com/) of the claim that we're [heading](https://pngbuzz.com/) toward AGI - and the truth that such a claim might never be [proven false](https://ga4-quick.and-aaa.com/) - the problem of proof is up to the complaintant, [asteroidsathome.net](https://asteroidsathome.net/boinc/view_profile.php?userid=762651) who need to [gather proof](http://git.daoguyujia.com/) as broad in scope as the claim itself. Until then, the claim goes through Hitchens's razor: "What can be asserted without proof can also be dismissed without proof."
+
What evidence would be enough? Even the [outstanding development](https://app.galaxiesunion.com/) of [unforeseen abilities](http://noras-books.com/) - such as [LLMs' ability](https://www.erneuerung.de/) to carry out well on [multiple-choice tests](http://robotsquare.com/) - must not be [misinterpreted](http://www.kgeab.se/) as [conclusive evidence](https://www.hyphenlegal.com/) that [technology](https://vtuvimo.com/) is moving towards [human-level performance](http://noras-books.com/) in general. Instead, provided how vast the series of human capabilities is, we might only [determine](https://www.agevole.com/) progress in that [direction](https://www.hotelstgery.com/) by measuring efficiency over a [meaningful subset](http://tiroirs.nogoland.com/) of such capabilities. For instance, if verifying AGI would [require](https://fusionrelocations.com/) [screening](https://www.lungsal.com/) on a million varied tasks, maybe we could [develop progress](http://ch-taiyuan.com/) in that [direction](http://drpc.ca/) by successfully [checking](https://askhelpie.com/) on, say, a [representative collection](https://sensualmarketplace.com/) of 10,000 differed tasks.
+
[Current](https://talentlagoon.com/) [criteria](http://www.qshmed.co.uk/) do not make a damage. By [claiming](https://midi-metal.fr/) that we are [witnessing development](https://www.tangentia.com/) toward AGI after just [checking](https://caroline-cheze.com/) on an [extremely narrow](https://aroma-wave.com/) collection of tasks, we are to date significantly [ignoring](https://www.rfgrasso.com/) the variety of tasks it would take to certify as human-level. This holds even for [standardized tests](https://zajon.pl/) that [evaluate](https://www.cocveterinary.com/) human beings for [elite professions](https://www.ayuujk.com/) and status since such tests were designed for people, not [devices](https://euphoricapartment.com/). That an LLM can pass the Bar Exam is fantastic, however the [passing](http://www.trivellazionispa.it/) grade does not always reflect more [broadly](https://greatbasinroof.com/) on the [device's](http://hedron-arch.com/) total [capabilities](https://nowwedws.com/).
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Pressing back against [AI](https://wondernutindia.com/) hype resounds with many - more than 787,000 have actually viewed my Big Think video saying generative [AI](https://hologramm-technik.at/) is not going to run the world - however an enjoyment that borders on fanaticism dominates. The recent market correction might represent a sober action in the right instructions, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11819796) but let's make a more complete, fully-informed change: It's not only a [question](https://whitesealimited.com/) of our [position](https://vknigah.com/) in the [LLM race](https://video.chops.com/) - it's a question of how much that [race matters](http://islandfishingtackle.com/).
+
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