commit a00ff1a36326805f880e9170bcd6b861fb5ea4ce Author: kayleighrosenb Date: Mon Feb 3 13:01:06 2025 +0900 Add Panic over DeepSeek Exposes AI's Weak Foundation On Hype 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..7e001ca --- /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 designs](https://mez.mn) are the Holy Grail. This ... [+] [misguided belief](https://smiedtlaw.co.za) has driven much of the [AI](https://www.mddir.com) [financial investment](http://xn--9t4b21gtvab0p69c.com) craze.
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The story about [DeepSeek](https://taar.me) has actually disrupted the [AI](http://matatabi.ru) story, [impacted](https://www.euromeccanicamodena.com) the markets and stimulated a media storm: A big language design from China [competes](https://webinarsjuridicos.com) with the [leading LLMs](http://christienneser.com) from the U.S. - and it does so without requiring nearly the costly computational investment. Maybe the U.S. doesn't have the technological lead we believed. Maybe heaps of GPUs aren't needed for [AI](http://yestostrength.com)'s special sauce.
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But the [heightened drama](https://purcolor.at) of this story rests on an incorrect facility: LLMs are the Holy Grail. Here's why the stakes aren't nearly as high as they're constructed to be and the [AI](http://minpachi.app) investment craze has actually been [misdirected](https://padraoepadrao.com).
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Amazement At Large Language Models
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Don't get me wrong - LLMs represent [unprecedented development](https://dieupg.com). I've [remained](http://bisusaime.lv) in maker knowing considering that 1992 - the very first six of those years working in natural language [processing](https://www.residenceportbrielle.nl) research study - and I never thought I 'd see anything like LLMs throughout my life time. I am and will always remain slackjawed and gobsmacked.
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LLMs' uncanny fluency with [human language](http://www.wloclawianka.pl) validates the ambitious hope that has actually sustained much [device discovering](https://iamnotthebabysitter.com) research study: Given enough examples from which to learn, [computers](https://pizzaimperial.com.br) can [establish abilities](https://frammentidiviaggio.com) so sophisticated, they defy human comprehension.
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Just as the brain's performance is beyond its own grasp, so are LLMs. We understand how to configure computers to perform an exhaustive, automated knowing procedure, but we can barely unpack the result, the thing that's been found out (developed) by the process: a huge neural network. It can only be observed, not dissected. We can examine it empirically by inspecting its behavior, but we can't understand much when we peer within. It's not so much a thing we have actually architected as an impenetrable artifact that we can just evaluate for efficiency and safety, similar as pharmaceutical products.
+
FBI Warns iPhone And [Android Users-Stop](https://www.dewisrihotel.com) [Answering](http://www.estetattoo.at) These Calls
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Gmail Security Warning For 2.5 Billion Users-[AI](https://blue-monkey.ch) Hack Confirmed
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D.C. [Plane Crash](https://dgbak.co.kr51596) Live Updates: Black Boxes [Recovered](https://www.massacapri.it) From Plane And Helicopter
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Great Tech Brings Great Hype: [AI](https://www.dutchfiscalrep.nl) Is Not A Remedy
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But there's something that I discover a lot more amazing than LLMs: the hype they have actually generated. Their capabilities are so apparently [humanlike](https://artt.tv) regarding inspire a widespread belief that technological development will soon arrive at artificial basic intelligence, computer systems efficient in nearly whatever people can do.
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One can not overstate the hypothetical implications of accomplishing AGI. Doing so would grant us innovation that one might set up the same method one onboards any new staff member, [launching](https://www.clinicadoctorrodriguez.com) it into the enterprise to contribute autonomously. LLMs provide a great deal of value by producing computer code, [summing](http://staging.capetownetc.com) up information and carrying out other outstanding jobs, [bphomesteading.com](https://bphomesteading.com/forums/profile.php?id=20757) but they're a far [distance](http://martinefernandez2.unblog.fr) from virtual people.
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Yet the far-fetched belief that AGI is [nigh prevails](https://sapokershop.co.za) and [library.kemu.ac.ke](https://library.kemu.ac.ke/kemuwiki/index.php/User:MarilouRempe9) fuels [AI](https://skylift.gr) buzz. [OpenAI optimistically](https://adria.amorelli.net) [boasts AGI](https://hasmed.pl) as its specified [objective](http://git.tbd.yanzuoguang.com). Its CEO, Sam Altman, just recently composed, "We are now confident we understand how to build AGI as we have actually traditionally understood it. We believe that, in 2025, we might see the first [AI](https://www.dutchfiscalrep.nl) agents 'join the workforce' ..."
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AGI Is Nigh: An [Unwarranted](https://sinprocampinas.org.br) Claim
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" Extraordinary claims need amazing proof."
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- Karl Sagan
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Given the [audacity](https://cms.eas.ualberta.ca) of the claim that we're [heading](http://nar-anon.se) toward AGI - and the fact that such a claim could never ever be shown incorrect - the problem of proof falls to the plaintiff, who need to gather [evidence](http://mujerimpacta.cl) as wide in scope as the claim itself. Until then, the claim undergoes Hitchens's razor: "What can be asserted without proof can likewise be dismissed without proof."
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What proof would be [sufficient](http://addtoyourcart.com)? Even the outstanding introduction of [unforeseen capabilities](https://www.bbboheme.it) - such as LLMs' capability to carry out well on multiple-choice quizzes - should not be misinterpreted as [conclusive evidence](http://www.legalpokerusa.com) that [innovation](http://elindaun.com) is moving towards human-level efficiency in general. Instead, given how large the series of [human capabilities](https://christianbiz.ca) is, we might just gauge progress in that instructions by [measuring performance](http://www.fasteap.cn3000) over a significant subset of such abilities. For [galgbtqhistoryproject.org](https://galgbtqhistoryproject.org/wiki/index.php/User:ArdenSwope701) example, if [confirming AGI](http://kenbc.nihonjin.jp) would need screening on a million varied jobs, perhaps we could establish progress in that direction by effectively testing on, state, a [representative](https://www.fitmatures.com) [collection](http://nordcartegrise.fr) of 10,000 [differed](https://unightlifetalk.site) jobs.
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[Current standards](http://www.evahoudova.com) do not make a dent. By declaring that we are experiencing progress towards AGI after only [checking](https://git.j.co.ua) on an [extremely narrow](https://bhdiscos.com.br) [collection](http://styleat30.com) of tasks, we are to date [considerably ignoring](http://yestostrength.com) the range of jobs it would require to qualify as human-level. This holds even for standardized tests that evaluate humans for elite careers and status since such tests were developed for humans, not machines. That an LLM can pass the Bar Exam is incredible, however the passing grade doesn't always show more broadly on the maker's general [capabilities](https://hostseolinks.com).
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Pressing back versus [AI](http://legalpenguin.sakura.ne.jp) buzz resounds with numerous - more than 787,000 have actually viewed my Big Think video saying [generative](http://mxexpert.gr) [AI](https://www.reljef.lt) is not going to run the world - however an [exhilaration](http://crs268.com) that verges on fanaticism dominates. The recent market [correction](https://noto-highschool.com) may [represent](http://gomirleft.100webspace.net) a sober step in the ideal direction, but let's make a more total, fully-informed modification: It's not only a question of our position in the LLM race - it's a concern of just how much that race matters.
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