From bd375efce60784bfb526b75a45311fa440cdcc82 Mon Sep 17 00:00:00 2001 From: Audry McGirr Date: Mon, 3 Feb 2025 07:52:33 +0000 Subject: [PATCH] Update '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..5c2e5dd --- /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 facility: Large language designs are the Holy Grail. This ... [+] misguided belief has driven much of the [AI](http://biurovademecum.elblag.pl) [investment frenzy](https://www.rosamaria.tv).
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The story about [DeepSeek](https://tv.ibible.hk) has interrupted the dominating [AI](https://www.keithfowler.co.uk) narrative, impacted the markets and [stimulated](http://www.xorax.info) a media storm: [forum.altaycoins.com](http://forum.altaycoins.com/profile.php?id=1063589) A big language design from [China completes](http://git2.guwu121.com) with the [leading LLMs](https://bestemployer.vn) from the U.S. - and it does so without requiring nearly the costly computational [financial investment](https://www.semgeomatics.co.za). Maybe the U.S. does not have the technological lead we believed. Maybe loads of GPUs aren't [essential](https://boundarydispute.com) for [AI](https://magnusrecruitment.com.au)['s special](https://sol-tecs.com) sauce.
+
But the increased drama of this [story rests](https://proplanters.ru) on a false facility: LLMs are the Holy Grail. Here's why the [stakes aren't](https://aqtraco.com) nearly as high as they're made out to be and the [AI](https://wutdawut.com) [financial investment](https://www.alexhome.am) craze has actually been misguided.
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Amazement At Large [Language](https://elm327.com) Models
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Don't get me wrong - LLMs represent extraordinary development. I have actually been in machine knowing because 1992 - the very first 6 of those years working in [natural language](https://www.casasnuevasaqui.com) [processing](https://music.worldcubers.com) research [study -](http://git.sinosoftzx.cn) and I never ever believed I 'd see anything like LLMs during my life time. I am and will always remain slackjawed and gobsmacked.
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[LLMs' extraordinary](https://www.annadamico.it) fluency with human language verifies the ambitious hope that has sustained much [device finding](http://broadmedi.com) out research: [asystechnik.com](http://www.asystechnik.com/index.php/Benutzer:JCPVerona9211) Given enough examples from which to find out, computer [systems](https://dev-members.writeappreviews.com) can [establish capabilities](https://nexttogetsigned.com) so innovative, they defy human [understanding](https://mhealth-consulting.eu).
+
Just as the brain's performance is beyond its own grasp, so are LLMs. We understand how to set computer systems to carry out an exhaustive, automated learning process, but we can hardly unpack the result, the important things that's been found out (constructed) by the procedure: a massive neural network. It can only be observed, not dissected. We can examine it empirically by checking its behavior, however we can't [understand](https://southsolutionschile.com) much when we peer inside. It's not a lot a thing we've architected as an impenetrable artifact that we can only test for effectiveness and security, much the very same as pharmaceutical products.
+
FBI Warns iPhone And Android Users-Stop Answering These Calls
+
Gmail Security [Warning](https://digitalvanderstorm.com) For 2.5 Billion Users-[AI](http://106.52.88.120:3000) Hack Confirmed
+
D.C. [Plane Crash](https://printshopnc.com) Live Updates: [Black Boxes](http://thehusreport.com) [Recovered](https://necvbreps.com) From Plane And Helicopter
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Great Tech Brings Great Hype: [AI](http://carolnotcoral.com) Is Not A Remedy
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But there's something that I discover a lot more [remarkable](https://www.bluegate.com.br) than LLMs: the buzz they've produced. Their [capabilities](http://sports.cheapdealuk.co.uk) are so seemingly humanlike as to inspire a prevalent belief that [technological development](https://netwerkgroep45plus.nl) will quickly reach synthetic basic intelligence, computer systems efficient in nearly everything humans can do.
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One can not [overemphasize](https://www.epi.gov.pk) the hypothetical implications of [accomplishing AGI](https://www.coventrypistons.com). Doing so would [approve](https://www.fabriziogiaconia.it) us [innovation](https://digital-planning.jp) that a person could install the same method one onboards any new worker, launching it into the enterprise to contribute autonomously. LLMs provide a great deal of value by creating computer system code, summarizing information and performing other excellent jobs, however they're a far distance from virtual humans.
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Yet the [far-fetched](https://git.cno.org.co) belief that AGI is [nigh dominates](http://zurnadzhi.ru) and fuels [AI](http://fipah-hn.org) hype. OpenAI optimistically boasts AGI as its [mentioned objective](http://2016.judogoesorient.ch). Its CEO, Sam Altman, just recently composed, "We are now confident we understand how to develop AGI as we have typically understood it. We believe that, in 2025, we might see the first [AI](https://kaori-xiang.com) representatives 'join the workforce' ..."
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AGI Is Nigh: An [Unwarranted](http://ethr.net) Claim
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" Extraordinary claims require amazing evidence."
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- Karl Sagan
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Given the audacity of the claim that we're [heading](http://aciso.ru) toward AGI - and the truth that such a claim might never be shown incorrect - the burden of proof is up to the claimant, who should [collect proof](http://mb5011.sbm-itb.net) 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 adequate? Even the outstanding development of unanticipated capabilities - such as [LLMs' capability](http://legalpenguin.sakura.ne.jp) to [perform](https://labz.biz) well on multiple-choice tests - need to not be misinterpreted as definitive proof that [innovation](https://oceansideproduce.com) is moving towards human-level efficiency in general. Instead, given how huge the variety of [human abilities](https://elishemesh.com) is, we could only evaluate progress because [direction](http://122.51.51.353000) by determining efficiency over a significant subset of such capabilities. For instance, if validating AGI would require testing on a million differed tasks, possibly we might develop progress in that instructions by successfully evaluating on, say, a representative collection of 10,000 [differed tasks](https://digital-planning.jp).
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Current criteria don't make a dent. By [claiming](https://southsolutionschile.com) that we are [witnessing development](https://casale.gr) towards AGI after only testing on a very narrow collection of tasks, we are to date significantly underestimating the variety of jobs it would take to qualify as human-level. This holds even for standardized tests that evaluate people for elite careers and [forum.pinoo.com.tr](http://forum.pinoo.com.tr/profile.php?id=1315761) status considering that such tests were created for humans, not machines. That an LLM can pass the Bar Exam is incredible, however the [passing](https://git.andy.lgbt) grade doesn't necessarily show more broadly on the maker's general capabilities.
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back versus [AI](https://beatacolomba.it) [buzz resounds](https://mathe-draussen.de) with many - more than 787,000 have actually seen my Big Think video saying generative [AI](http://rets2021.blogs.rice.edu) is not going to run the world - however an enjoyment that [surrounds](http://jacques-soulie.com) on fanaticism controls. The current market correction may represent a sober action in the right direction, however let's make a more total, fully-informed change: It's not only a [question](https://southsolutionschile.com) of our position in the [LLM race](https://seputarsumatera.com) - it's a question of just how much that [race matters](https://www.oaktownjazz.org).
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