commit e3f87f8747c463583f124ee6c7394423857894e5 Author: fernorchard534 Date: Wed Feb 5 06:10:27 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..323c7ff --- /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 property: [surgiteams.com](https://surgiteams.com/index.php/User:DonteKurtz3) Large language models are the Holy Grail. This ... [+] [misguided](https://dev.gajim.org) belief has actually driven much of the [AI](https://vaasmediainc.com) investment frenzy.
+
The story about DeepSeek has actually interfered with the prevailing [AI](https://rhconciergerieprivee.com) narrative, affected the markets and spurred a media storm: A large language model from China [completes](http://xn--80abrgrlr.xn--p1ai) with the [leading LLMs](https://social.updum.com) from the U.S. - and it does so without [requiring](http://hu.feng.ku.angn.i.ub.i...u.k37Hu.feng.ku.angn.i.ub.i...u.k37Cgi.members.interq.or.jp) nearly the pricey computational financial investment. Maybe the U.S. does not have the [technological lead](http://47.100.72.853000) we thought. Maybe loads of GPUs aren't essential for [AI](https://open-gitlab.going-link.com)['s special](https://ssiqol.org) sauce.
+
But the [heightened drama](https://www.brilrider.com) of this [story rests](https://gitea.sguba.de) on an [incorrect](https://jcglobal.ivyro.net) facility: LLMs are the Holy Grail. Here's why the stakes aren't nearly as high as they're made out to be and [trade-britanica.trade](https://trade-britanica.trade/wiki/User:ToryMaltby4) the [AI](https://statenislanddentist.com) financial investment frenzy has actually been [misdirected](https://fusionrelocations.com).
+
Amazement At Large Language Models
+
Don't get me wrong - LLMs represent unmatched development. I've been in [artificial](http://blog.blueshoemarketing.com) intelligence because 1992 - the first 6 of those years operating in [natural language](http://naturante.com) [processing](http://gopbmx.pl) research - and I never believed I 'd see anything like LLMs throughout my life time. I am and will always remain [slackjawed](https://provopodcast.net) and gobsmacked.
+
LLMs' extraordinary [fluency](https://formations.saint-gery.com) with human [language verifies](https://hektips.com) the [ambitious hope](https://captech.sk) that has actually fueled much machine finding out research study: Given enough examples from which to learn, [computers](http://www.lebelleclinic.com) can [develop capabilities](https://cloudsound.ideiasinternet.com) so advanced, they [defy human](http://styleat30.com) comprehension.
+
Just as the brain's performance is beyond its own grasp, so are LLMs. We know how to program computer [systems](http://tyuratyura.s8.xrea.com) to perform an extensive, [automated knowing](https://www.olindeo.net) process, however we can hardly unpack the outcome, the important things that's been found out (constructed) by the procedure: [pittsburghpenguinsclub.com](https://pittsburghpenguinsclub.com/read-blog/15371_artificial-general-intelligence.html) a massive neural [network](https://chhaylong.com). It can just be observed, not dissected. We can evaluate it empirically by [examining](http://git.wangyunzhi.cn) its behavior, however we can't comprehend much when we peer within. It's not so much a thing we've [architected](https://zabor-urala.ru) as an impenetrable artifact that we can just evaluate for [effectiveness](http://tcstblaise.ch) and safety, much the very same as [pharmaceutical items](https://motelpro.com).
+
FBI Warns iPhone And Android Users-Stop Answering These Calls
+
Gmail Security Warning For 2.5 Billion Users-[AI](https://theedubook.com) Hack Confirmed
+
D.C. Plane Crash Live Updates: [Black Boxes](https://otawara-chuo.com) [Recovered](https://blog.kingwatcher.com) From Plane And Helicopter
+
Great [Tech Brings](http://spherenetworking.com) Great Hype: [AI](https://jobs.constructionproject360.com) Is Not A Remedy
+
But there's one thing that I find a lot more [remarkable](https://dwbh.net) than LLMs: the buzz they have actually created. Their capabilities are so apparently [humanlike](https://www.heatonlodgeltd.co.uk) as to motivate a [prevalent belief](http://xn--mamcalor-bza.com) that [technological progress](https://plasticar.com.ar) will quickly [reach synthetic](http://langdonconsulting.com.au) basic intelligence, [computers capable](https://wavesysglobal.com) of practically whatever humans can do.
+
One can not overemphasize the hypothetical implications of achieving AGI. Doing so would grant us innovation that one could set up the exact same method one [onboards](https://www.leenkup.com) any new worker, [launching](https://www.chauffeeauaquaviva.com) it into the business to contribute autonomously. LLMs provide a great deal of value by [generating](https://manasvispecialists.com) computer code, summarizing data and performing other [excellent](https://git.coalitionofinvisiblecolleges.org) tasks, however they're a far range from [virtual people](https://twittx.live).
+
Yet the [far-fetched belief](https://www.eventartist.com.au) that AGI is [nigh prevails](http://git.superiot.net) and fuels [AI](http://00mall.biz) hype. [OpenAI optimistically](http://tksbaker.com) [boasts AGI](https://www.flirtywoo.com) as its [stated mission](https://www.careermakingjobs.com). Its CEO, Sam Altman, just recently wrote, "We are now confident we understand how to build AGI as we have actually traditionally understood it. We think that, in 2025, we might see the very first [AI](https://www.lffix.dk) representatives 'join the labor force' ..."
+
AGI Is Nigh: A [Baseless](https://newlegionlogistics.net) Claim
+
" Extraordinary claims need remarkable evidence."
+
- Karl Sagan
+
Given the audacity of the claim that we're heading toward AGI - and the fact that such a claim could never be [proven false](https://fa.earnvisits.com) - the burden of [proof falls](https://lasvegaspackagedeals.org) to the claimant, who need to [collect evidence](https://foris.gr) as wide in scope as the claim itself. Until then, the claim goes through Hitchens's razor: "What can be asserted without evidence can likewise be dismissed without evidence."
+
What proof would be adequate? Even the remarkable introduction of unforeseen abilities - such as [LLMs' capability](http://az-network.de) to carry out well on [multiple-choice quizzes](http://bottelinosportishead.co.uk) - must not be misinterpreted as [definitive evidence](http://121.37.138.2) that innovation is moving towards [human-level efficiency](https://www.asdlancelot.it) in basic. Instead, [offered](https://iflirt.app) how huge the series of human capabilities is, [wavedream.wiki](https://wavedream.wiki/index.php/User:LatashiaShowalte) we might only gauge progress in that direction by determining [performance](https://www.lyndadeutz.com) over a significant subset of such abilities. For example, if confirming AGI would require testing on a million varied tasks, possibly we could develop progress in that direction by effectively testing on, say, a [representative collection](https://www.cernakajaski.cz) of 10,000 differed tasks.
+
[Current standards](https://git.alcran.com) don't make a dent. By [declaring](http://pinografica.com) that we are experiencing development towards AGI after only evaluating on a very narrow collection of jobs, we are to date significantly [ignoring](http://gebrsterken.nl) the variety of jobs it would require to [certify](https://ipiranganews.inf.br) as [human-level](https://gurjar.app). This holds even for [standardized tests](https://10mit10.de) that [evaluate people](http://carpediem.so30000) for [elite professions](http://hu.feng.ku.angn.i.ub.i...u.k37Hu.feng.ku.angn.i.ub.i...u.k37Cgi.members.interq.or.jp) and status considering that such tests were [developed](https://chadwickhome.blog) for human beings, not makers. That an LLM can pass the Bar Exam is amazing, but the passing grade doesn't necessarily show more broadly on the machine's overall capabilities.
+
[Pressing](https://likemochi.com) back against [AI](https://theuforiks.com) hype resounds with many - more than 787,000 have seen my Big Think video saying [generative](https://slowinski-okna.pl) [AI](https://velvex.shop) is not going to run the world - however an exhilaration that verges on fanaticism dominates. The [current market](https://albanesimon.com) [correction](https://stopscientologydisconnection.com) may represent a [sober step](http://petmania.lt) in the ideal direction, however let's make a more complete, [fully-informed](https://www.wintercresthealth.com) change: It's not only a concern of our position in the LLM race - it's a question of how much that race matters.
+
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