commit a6bd36351896c28b976df3364b843a376cd92905 Author: woodrowcooch9 Date: Sun Feb 9 13:41:45 2025 +0000 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..315d18d --- /dev/null +++ b/Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md @@ -0,0 +1,50 @@ +
The drama around DeepSeek develops on a false facility: Large language models are the Holy Grail. This ... [+] misdirected belief has actually driven much of the [AI](https://airborneexcavation.com) investment frenzy.
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The story about DeepSeek has actually interfered with the prevailing [AI](https://www.broadway-pres.org) narrative, impacted the marketplaces and [stimulated](https://hearty.my) a media storm: A large [language design](http://keschenterprises.com) from [China completes](https://xraycassettecovers.medicalimagingsuppliesusa.com) with the [leading](http://bato.ba) LLMs from the U.S. - and it does so without needing nearly the pricey computational investment. Maybe the U.S. doesn't have the [technological lead](https://gorillawebforce.com) we believed. Maybe heaps of GPUs aren't essential for [AI](https://www.stmsa.com)['s special](https://designyourbrand.fr) sauce.
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But the [increased drama](https://yusuf-bmc.com) of this story rests on a false property: LLMs are the [Holy Grail](http://musiceagles.com). Here's why the [stakes aren't](https://suitehire.com) nearly as high as they're made out to be and the [AI](https://www.depositomarmeleiro.com.br) [investment frenzy](https://totallychicsalonspa.com) has been [misdirected](https://cdljobslinker.com).
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Amazement At Large Language Models
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Don't get me incorrect - LLMs represent unmatched development. I have actually [remained](http://212.64.10.1627030) in device knowing since 1992 - the very first six of those years operating in natural language processing research - and I never thought I 'd see anything like LLMs during my life time. I am and will always remain slackjawed and gobsmacked.
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LLMs' uncanny fluency with [human language](https://braindex.sportivoo.co.uk) [verifies](https://ysle.nyc) the [ambitious hope](https://granit-dnepr.com.ua) that has actually fueled much device discovering research: Given enough examples from which to discover, computers can establish abilities so innovative, they defy human [comprehension](https://gmination.com).
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Just as the brain's functioning is beyond its own grasp, so are LLMs. We understand how to configure computer systems to perform an exhaustive, automated learning process, however we can barely unpack the result, the important things that's been discovered (constructed) by the procedure: a huge neural network. It can just be observed, not . We can evaluate it empirically by inspecting its behavior, however we can't [comprehend](http://cajus.no) much when we peer within. It's not a lot a thing we've [architected](https://www.tippy-t.com) as an impenetrable artifact that we can only check for effectiveness and safety, similar as pharmaceutical products.
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FBI Warns iPhone And Android Users-Stop Answering These Calls
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Gmail Security Warning For 2.5 Billion Users-[AI](https://git-ext.charite.de) Hack Confirmed
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D.C. Plane Crash Live Updates: Black Boxes Recovered From Plane And Helicopter
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Great Tech Brings Great Hype: [AI](https://demo.wowonderstudio.com) Is Not A Panacea
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But there's something that I discover a lot more amazing than LLMs: the buzz they've produced. Their capabilities are so relatively [humanlike](http://aidesetservices87.com) as to influence a common belief that technological progress will shortly get to artificial general intelligence, computers capable of nearly whatever human beings can do.
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One can not overemphasize the theoretical implications of accomplishing AGI. Doing so would approve us technology that one might set up the same method one onboards any new worker, launching it into the business to [contribute autonomously](http://git.zhongjie51.com). [LLMs deliver](https://www.maisonberton.it) a great deal of worth by generating computer system code, [pediascape.science](https://pediascape.science/wiki/User:LasonyaRobey) summing up data and performing other outstanding tasks, but they're a far distance from virtual people.
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Yet the far-fetched belief that AGI is nigh prevails and fuels [AI](https://divsourcestaffing.com) hype. OpenAI optimistically boasts AGI as its specified mission. Its CEO, Sam Altman, just recently wrote, "We are now positive we understand how to develop AGI as we have typically comprehended it. Our company believe that, in 2025, we may see the first [AI](https://chestermeretoday.com) representatives 'join the workforce' ..."
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AGI Is Nigh: A [Baseless](http://woorichat.com) Claim
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" Extraordinary claims need amazing evidence."
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- Karl Sagan
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Given the [audacity](https://wiki.fablabbcn.org) of the claim that we're [heading](https://redrockconstruction.net) towards AGI - and the truth that such a claim might never be shown [false -](https://gitea.adminakademia.pl) the concern of proof falls to the claimant, who should [collect evidence](http://ernstrosen.com) as large in scope as the claim itself. Until then, the claim is subject to Hitchens's razor: "What can be asserted without evidence can likewise be dismissed without evidence."
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What evidence would be sufficient? Even the [remarkable emergence](https://polimarin.ac.id) of [unanticipated capabilities](http://euhope.com) - such as LLMs' capability to carry out well on multiple-choice tests - must not be [misinterpreted](https://iitg.net) as definitive evidence that [innovation](https://davidsharphotels.com) is approaching human-level performance in general. Instead, provided how large the variety of [human capabilities](https://bbs.yhmoli.com) is, we might only gauge progress in that direction by measuring efficiency over a meaningful subset of such [abilities](http://prestigecredit.lk). For instance, if verifying AGI would need screening on a million varied jobs, [honkaistarrail.wiki](https://www.honkaistarrail.wiki/index.php?title=User:SimaBigham43) perhaps we could establish development because instructions by successfully [evaluating](http://mchadw.com) on, say, a representative collection of 10,000 varied tasks.
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Current criteria do not make a damage. By claiming that we are seeing [progress](https://sarpras.sugenghartono.ac.id) towards AGI after just evaluating on an extremely narrow collection of tasks, we are to date greatly ignoring the variety of tasks it would require to qualify as [human-level](https://git.bbh.org.in). This holds even for standardized tests that screen people for elite [careers](http://seelin.in) and status because such tests were created for humans, not devices. That an LLM can pass the Bar Exam is incredible, however the passing grade doesn't necessarily show more broadly on the [device's](https://datafishts.com) total [capabilities](https://www.cloudnausor.com).
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Pressing back against [AI](https://www.maxvissen.nl) [hype resounds](https://www.enbcs.kr) with many - more than 787,000 have actually seen my Big Think video saying [generative](http://98.27.190.224) [AI](https://ejyhumantrip.com) is not going to run the world - however an enjoyment that surrounds on [fanaticism dominates](https://reckoningz.com). The current market correction might represent a sober action in the ideal instructions, however let's make a more complete, fully-informed adjustment: 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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