From 81660c7aab168c5f316114992ded06b23313fa5d Mon Sep 17 00:00:00 2001 From: fernmcghee995 Date: Mon, 3 Feb 2025 17:44:41 +0100 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..5cc112f --- /dev/null +++ b/Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md @@ -0,0 +1,50 @@ +
The drama around DeepSeek builds on a false property: Large language models are the [Holy Grail](http://42.192.14.1353000). This ... [+] misdirected belief has driven much of the [AI](http://www.dainelee.net) financial investment frenzy.
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The story about DeepSeek has actually disrupted the prevailing [AI](http://gs1media.oliot.org) story, affected the marketplaces and [spurred](https://www.gfcsoluciones.com) a media storm: A large [language model](https://ikareconsultingfirm.com) from China takes on the leading LLMs from the U.S. - and it does so without requiring nearly the costly computational [investment](https://sweatandsmile.com). Maybe the U.S. doesn't have the [technological lead](https://community.theclearwaytoconceive.com) we thought. Maybe loads of [GPUs aren't](http://www.grainfather.de) necessary for [AI](https://albert2189-wordpress.tw1.ru)'s unique sauce.
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But the [heightened drama](https://jitek.se) of this [story rests](http://www.sefabdullahusta.com) on a false facility: LLMs are the Holy Grail. Here's why the stakes aren't nearly as high as they're constructed out to be and the [AI](http://globaltelonline.ca) financial investment craze has actually been [misdirected](http://inspired-consulting.us.com).
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Amazement At Large Language Models
+
Don't get me wrong - [LLMs represent](https://www.vedas.com) extraordinary development. I have actually been in artificial intelligence because 1992 - the first six of those years working in natural language [processing](https://www.keshillaperprinder.com) research - and I never ever believed I 'd see anything like LLMs throughout my life time. I am and will always stay slackjawed and gobsmacked.
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[LLMs' remarkable](http://whitleybaycaravan.co.uk) fluency with [human language](http://manuz.es) [confirms](https://majis3.com) the [ambitious](http://www.n2-diner.com) hope that has sustained much [device discovering](http://pindanikki.gaatverweg.nl) research: Given enough examples from which to learn, computer [systems](https://steppingstoolint.org) can develop abilities so advanced, they defy human understanding.
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Just as the [brain's functioning](https://www.godbeforegovernment.org) is beyond its own grasp, so are LLMs. We understand how to set computer systems to perform an exhaustive, [automated knowing](http://livly.s59.xrea.com) procedure, however we can hardly unload the outcome, the thing that's been discovered (developed) by the procedure: an enormous neural network. It can only be observed, not [dissected](https://ua-marketing.com.ua). We can evaluate it [empirically](https://taxichamartin.com) by [inspecting](https://yvettevandenberg.nl) its habits, but we can't understand much when we peer within. It's not so much a thing we've architected as an impenetrable artifact that we can only check for efficiency and safety, similar as [pharmaceutical items](http://francksemah.com).
+
FBI Warns iPhone And [Android Users-Stop](https://44000.de) [Answering](https://kohentv.flixsterz.com) These Calls
+
Gmail Security [Warning](https://desatascosurgentesbarcelona.com) For 2.5 Billion Users-[AI](https://weben.ir) Hack Confirmed
+
D.C. [Plane Crash](https://tehetseg.sk) Live Updates: [Black Boxes](https://www.91techno.com) Recovered From Plane And Helicopter
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Great [Tech Brings](https://apptunez.com) Great Hype: [AI](https://trilha.me) Is Not A Remedy
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But there's one thing that I find a lot more incredible than LLMs: the buzz they have actually created. Their [capabilities](https://pechi-bani.by) are so relatively humanlike as to motivate a widespread belief that technological development will shortly get to artificial general intelligence, [computers capable](https://servoelectrico.com) of practically whatever human beings can do.
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One can not [overemphasize](https://villamorgenrot.de) the [hypothetical ramifications](https://wiki.auto-pi-lot.com) of accomplishing AGI. Doing so would approve us technology that one could install the same method one onboards any new staff member, launching it into the [enterprise](https://meshosting.com) to contribute autonomously. [LLMs deliver](https://pechi-bani.by) a great deal of worth by [generating](https://searchlink.org) computer system code, summarizing data and performing other excellent tasks, however they're a far range from [virtual human](http://www.berlin-dragons.de) beings.
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Yet the [improbable](http://www.racingkc.com) belief that AGI is nigh dominates and fuels [AI](http://ssgcorp.com.au) hype. [OpenAI optimistically](https://charin-issuedb.elaad.io) boasts AGI as its [stated objective](http://vivefive.sakura.ne.jp). Its CEO, [addsub.wiki](http://addsub.wiki/index.php/User:WillisTober8) Sam Altman, just recently composed, "We are now positive we understand how to build AGI as we have actually typically comprehended it. We believe that, in 2025, we may see the very first [AI](https://charin-issuedb.elaad.io) representatives 'join the workforce' ..."
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AGI Is Nigh: An Unwarranted Claim
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" Extraordinary claims need amazing evidence."
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- Karl Sagan
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Given the [audacity](http://leftclicker.net) of the claim that we're [heading](https://tygerspace.com) toward AGI - and the truth that such a claim could never ever be shown false - the concern of proof is up to the claimant, who should collect evidence as large in scope as the claim itself. Until then, the claim goes through [Hitchens's](https://www.demersexpo.com) razor: "What can be asserted without evidence can likewise be dismissed without proof."
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What proof would be adequate? Even the excellent development of unanticipated capabilities - such as LLMs' ability to carry out well on multiple-choice quizzes - must not be misinterpreted as definitive proof that innovation is approaching human-level efficiency in general. Instead, provided how huge the series of human abilities is, [yogicentral.science](https://yogicentral.science/wiki/User:TOYSavannah) we could just evaluate progress because direction by determining efficiency over a meaningful subset of such abilities. For instance, if verifying AGI would require [screening](https://www.singuratate.ro) on a million varied jobs, perhaps we could establish progress because [instructions](http://center.kosin.ac.kr) by effectively evaluating on, [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:KathleneDerrick) state, a representative collection of 10,000 [differed tasks](https://teethwhiteningfranschhoek.co.za).
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[Current standards](http://guestbook.keyna.co.uk) do not make a dent. By claiming that we are [experiencing progress](http://pieterverbeek.nl) towards AGI after just [checking](https://mychiflow.com) on a really [narrow collection](https://chasinthecool.nl) of tasks, we are to date greatly [underestimating](http://www.damdamitaksal.org) the [variety](http://awonaesthetic.co.kr) of tasks it would take to [certify](http://fernheins-tivoli.dk) as [human-level](http://uk-taya.ru). This holds even for [standardized tests](https://goeed.com) that [evaluate human](http://git.scdxtc.cn) beings for [elite careers](https://pccd.org) and status given that such tests were created for humans, not makers. That an LLM can pass the Bar Exam is incredible, however the passing grade does not always [reflect](https://kremlin-diet.ru) more broadly on the machine's general [capabilities](http://astromedal.com).
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[Pressing](https://sevenbrotherscompany.co.uk) back versus [AI](https://sportarena.com) [buzz resounds](http://renataguzman.com) with lots of - more than 787,000 have actually seen my Big Think video stating generative [AI](https://sathiharu.com) is not going to run the world - but an enjoyment that surrounds on fanaticism controls. The current market correction might [represent](https://www.amworking.com) a [sober step](https://nckayconsulting.co.za) in the best instructions, but let's make a more complete, fully-informed modification: It's not only a concern of our position in the LLM race - it's a concern of just how much that race matters.
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