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
index 1ec3236..7977a49 100644
--- a/Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md
+++ b/Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md
@@ -1,50 +1,50 @@
-<br>The drama around [DeepSeek constructs](https://www.eadvisor.it) on a false premise: Large [language designs](http://taxbiurorachunkowe.pl) are the [Holy Grail](https://www.assistantcareer.com). This ... [+] [misguided belief](https://nordic-talking.pl) has driven much of the [AI](https://www.eventosfera.pl) [financial investment](https://git.softuniq.eu) frenzy.<br>
-<br>The story about [DeepSeek](https://git.roy.gg) has disrupted the dominating [AI](http://wrhb.nl) narrative, [impacted](http://okna-samara.com.ru) the [marketplaces](http://obdt.org) and [spurred](https://edu.shpl.ru) a media storm: A big [language design](http://ajfoytcyclessuzuki.com) from China takes on the [leading LLMs](http://famedoot.in) from the U.S. - and it does so without needing almost the pricey computational investment. Maybe the U.S. does not have the technological lead we thought. Maybe loads of GPUs aren't necessary for [AI](https://norhteknetworking.com)'s [special sauce](https://landing.markathinkdigital.com).<br>
-<br>But the [increased drama](https://www.rinjo.jp) of this [story rests](http://polivizor.tv) on a false property: LLMs are the [Holy Grail](http://www.communitycaremidwifery.com). Here's why the stakes aren't almost as high as they're [constructed](http://www.communitycaremidwifery.com) to be and  [pl.velo.wiki](https://pl.velo.wiki/index.php?title=U%C5%BCytkownik:ChristiKrb) the [AI](https://www.bungalowsmoinschers.com) financial [investment frenzy](http://skydivegotland.se) has been misguided.<br>
-<br>[Amazement](https://soycondiabetes.com.mx) At Large [Language](https://www.prasadacademy.com) Models<br>
-<br>Don't get me [incorrect -](https://cabinetpro.fr) [LLMs represent](https://www.widerlens.org) [unmatched](http://gvresources.com.my) [development](https://git.jackbondpreston.me). I've [remained](https://git.ezmuze.co.uk) in [maker learning](http://actionmotorsportssuzuki.com) because 1992 - the first six of those years working in [natural language](http://edatafinancial.com) [processing](https://www.letsgodosomething.org) research - and I never thought I 'd see anything like LLMs throughout my [lifetime](http://kalemagency.com). I am and  [equipifieds.com](https://equipifieds.com/author/cherimatloc/) will always stay slackjawed and gobsmacked.<br>
-<br>[LLMs' remarkable](https://www.konektio.fi) [fluency](https://forumnaturalisation.fr) with [human language](https://git.caolongle.com) [confirms](https://allpcworld.com) the [ambitious hope](http://fundacioncian.org.ar) that has fueled much maker finding out research study: Given enough [examples](https://rauma.uusitoivo.fi) from which to learn, computer [systems](https://www.truckjob.ca) can develop capabilities so innovative, they defy human understanding.<br>
-<br>Just as the [brain's performance](https://grossmann-wohnmobile.de) is beyond its own grasp, so are LLMs. We know how to set [computers](http://www.nordicwalkingvco.it) to carry out an exhaustive, [automatic knowing](https://www.infoplus18.it) procedure, however we can barely unload the outcome, the thing that's been found out (developed) by the process: a massive neural [network](http://battlepanda.com). It can only be observed, not dissected. We can evaluate it [empirically](http://histoire.art.free.fr) by [inspecting](https://ffti.suez.edu.eg) its habits, but we can't comprehend much when we peer inside. It's not a lot a thing we've [architected](https://namesarecheap.com) as an [impenetrable artifact](https://www.arteinox.net) that we can just check for [efficiency](https://git.penwing.org) and safety, much the very same as [pharmaceutical items](http://opcois.com).<br>
-<br>FBI Warns iPhone And [Android Users-Stop](http://xbox.perfect-teamplay.com) Answering These Calls<br>
-<br>Gmail Security Warning For  [canadasimple.com](https://canadasimple.com/index.php/User:JudsonHefner5) 2.5 Billion Users-[AI](https://www.leretro65.com) Hack Confirmed<br>
-<br>D.C. [Plane Crash](https://www.ngvw.nl) Live Updates: [Black Boxes](https://www.sinnestraum.com) Recovered From Plane And Helicopter<br>
-<br>Great Tech Brings Great Hype: [AI](http://www.dominoreal.cz) Is Not A Panacea<br>
-<br>But there's something that I find much more [fantastic](https://dwbh.net) than LLMs: the buzz they've [generated](https://paksarkarijob.com). Their [capabilities](https://bethelva.com) are so relatively humanlike as to influence a [widespread belief](http://nationalfoodserviceconsulting.com) that [technological](http://mpowerstaffing.com) [progress](https://www.mattkuchta.com) will [shortly](https://www.oliocartocetodop.it) come to [synthetic basic](https://www.panevinomilano.com) intelligence, [computers efficient](http://danna-nagornyh.ru) in almost whatever humans can do.<br>
-<br>One can not [overemphasize](https://www.torobravo.net) the [theoretical ramifications](http://www.lagerado.de) of [attaining AGI](http://mgnews.ru). Doing so would grant us [technology](https://code.agileum.com) that one could install the same method one [onboards](https://mykamaleon.com) any new employee, [launching](http://tecza.org.pl) it into the [enterprise](http://36.69.132.21) to [contribute autonomously](http://https3a2fEvolv.elupcHaedongacademy.org). LLMs [provide](http://inclusiva.eu) a lot of worth by [producing](https://dom-krovli.com) computer code, [summarizing](https://shibuyamalaysia.com) information and [carrying](http://esmeraldo18.com) out other [outstanding](https://deafandhoh.com) jobs, however they're a far range from [virtual human](https://aqstg.com.au) beings.<br>
-<br>Yet the  that AGI is [nigh dominates](https://rsvpoker.com) and fuels [AI](http://47.103.91.160:50903) buzz. [OpenAI optimistically](http://www1.kcn.ne.jp) [boasts AGI](http://114.132.245.2038001) as its [mentioned objective](https://kiigasofthub.com). Its CEO, Sam Altman, just recently composed, "We are now positive we understand how to build AGI as we have actually generally understood it. We believe that, in 2025, we may see the first [AI](https://ikareconsultingfirm.com) representatives 'join the labor force' ..."<br>
-<br>AGI Is Nigh: A [Baseless](https://www.oliocartocetodop.it) Claim<br>
-<br>" Extraordinary claims require amazing proof."<br>
+<br>The drama around DeepSeek constructs on an incorrect premise: Large language models are the Holy Grail. This ... [+] misdirected belief has actually driven much of the [AI](https://ikbensam.com) [financial investment](https://tokotimbangandigitalmurah.com) frenzy.<br>
+<br>The story about DeepSeek has actually interrupted the dominating [AI](http://barcopesca.com) story, impacted the marketplaces and [spurred](https://www.eiuk.net) a media storm: A big language design from China completes with the leading LLMs from the U.S. - and it does so without requiring almost the pricey computational financial investment. Maybe the U.S. does not have the technological lead we believed. Maybe heaps of GPUs aren't essential for [AI](http://rucco.ru)'s special sauce.<br>
+<br>But the [heightened drama](https://source.addedpixels.com) of this story rests on a false premise: LLMs are the Holy Grail. Here's why the stakes aren't almost as high as they're  to be and the [AI](https://m-sag.ru) [financial investment](https://kandelpanandgrill.com.au) craze has actually been misguided.<br>
+<br>Amazement At Large Language Models<br>
+<br>Don't get me [incorrect -](https://writerunblocks.com) LLMs represent unprecedented [development](https://fluidicice.com). I've remained in machine learning since 1992 - the very first six of those years working in natural language processing research [study -](http://ptojindrichavachy.cz) and I never ever thought I 'd see anything like LLMs throughout my life time. I am and will constantly remain slackjawed and gobsmacked.<br>
+<br>LLMs' incredible fluency with human language [validates](http://daliaelsaid.com) the enthusiastic hope that has sustained much maker finding out research study:  [wolvesbaneuo.com](https://wolvesbaneuo.com/wiki/index.php/User:KandiceMoulton0) Given enough examples from which to find out, computers can develop capabilities so innovative, they defy human understanding.<br>
+<br>Just as the [brain's functioning](http://2point.biz) is beyond its own grasp, so are LLMs. We understand how to [configure](https://www.naamaaljazeera.com) computer systems to carry out an extensive, automatic knowing procedure, but we can hardly unload the outcome, the thing that's been found out (developed) by the procedure:  [iuridictum.pecina.cz](https://iuridictum.pecina.cz/w/U%C5%BEivatel:Zack21549973078) a massive neural network. It can only be observed,  [ghetto-art-asso.com](http://ghetto-art-asso.com/forum/profile.php?id=3779) not [dissected](http://oficinasme.com.br). We can assess it [empirically](https://bucket.functionary.co) by checking its behavior, however we can't comprehend much when we peer within. It's not a lot a thing we have actually architected as an impenetrable artifact that we can only evaluate for efficiency and  [funsilo.date](https://funsilo.date/wiki/User:JerilynSain76) security, much the exact same as pharmaceutical items.<br>
+<br>FBI Warns iPhone And Android Users-Stop Answering These Calls<br>
+<br>Gmail Security [Warning](https://campinasferramentas.com.br) For 2.5 Billion Users-[AI](https://peterplorin.de) Hack Confirmed<br>
+<br>D.C. [Plane Crash](https://jobflux.eu) Live Updates: Black Boxes Recovered From Plane And Helicopter<br>
+<br>Great Tech Brings Great Hype: [AI](https://africasupplychainmag.com) Is Not A Panacea<br>
+<br>But there's something that I find much more [amazing](https://gallery-systems.com) than LLMs: the hype they've created. Their abilities are so relatively humanlike regarding influence a prevalent belief that technological progress will quickly come to artificial basic intelligence, computers capable of nearly whatever humans can do.<br>
+<br>One can not overstate the theoretical ramifications of achieving AGI. Doing so would [approve](http://turismoalverde.com) us [innovation](https://fitco.pk) that a person might install the same way one onboards any brand-new worker, launching it into the business to contribute autonomously. LLMs deliver a great deal of worth by producing computer code, [summarizing](https://www.cheyenneclub.it) information and performing other remarkable jobs, however they're a far range from virtual humans.<br>
+<br>Yet the far-fetched belief that AGI is nigh prevails and fuels [AI](http://atomwalrus5.edublogs.org) hype. OpenAI optimistically boasts AGI as its specified objective. Its CEO, Sam Altman, just recently wrote, "We are now positive we understand how to develop AGI as we have traditionally understood it. Our company believe that, in 2025, we may see the first [AI](https://liveglam.com) representatives 'join the labor force' ..."<br>
+<br>AGI Is Nigh: An [Unwarranted](http://thehotelandrea.com) Claim<br>
+<br>" Extraordinary claims need amazing evidence."<br>
 <br>- Karl Sagan<br>
-<br>Given the audacity of the claim that we're [heading](https://kanatalheights.com) towards AGI - and the truth that such a claim might never be shown [incorrect -](https://niktalkmedia.com) the problem of proof falls to the claimant, who need to collect [evidence](https://www.rallydecoracoes.com.br) as broad in scope as the claim itself. Until then, the [claim undergoes](https://myconnectedrecords.com) Hitchens's razor: "What can be asserted without evidence can also be dismissed without proof."<br>
-<br>What evidence would be [adequate](https://alicepoulouin.fr)? Even the [remarkable introduction](http://villageofstrength.org) of [unpredicted](http://www.schornfelsen.de) [abilities -](https://bibi-kai.com) such as [LLMs' capability](http://www1.kcn.ne.jp) to [perform](http://www.jutta-koller.de) well on [multiple-choice quizzes](http://www.astournus-athle.fr) - need to not be [misinterpreted](http://excavatii-demolari.ro) as [definitive proof](http://121.181.234.77) that [technology](http://ajfoytcyclessuzuki.com) is moving towards [human-level performance](http://mouazer-assurances.com) in basic. Instead, given how vast the range of [human capabilities](https://turfndirt.ca) is, we could only evaluate progress in that instructions by determining performance over a [meaningful subset](https://myprintagon.com) of such capabilities. For example, if [verifying AGI](https://www.letsgodosomething.org) would need screening on a million differed tasks, maybe we could [establish progress](https://www.torobravo.net) in that [direction](https://www.alejandroalvarez.de) by [effectively](https://marloesijpelaar.nl) [evaluating](https://vino-vero.ch) on, say, a [representative collection](https://apocaliptico.com.br) of 10,000 [varied tasks](https://amiorbis.com).<br>
-<br>Current [criteria](https://adzbusiness.com) don't make a damage. By [declaring](https://equiliber.ch) that we are [witnessing development](https://textpert.hu) towards AGI after only evaluating on an extremely narrow collection of tasks, we are to date significantly [underestimating](https://horsecreekwinery.com) the range of jobs it would take to [qualify](https://git.signalnine.net) as [human-level](https://bibi-kai.com). This holds even for [standardized tests](https://bilfo.com.tr) that [screen human](http://mouazer-assurances.com) beings for [elite professions](http://xbkcflxb.cnjournals.com) and status given that such tests were created for humans, not makers. That an LLM can pass the [Bar Exam](http://dev.vandoeveren.nl) is fantastic, however the passing grade does not always show more broadly on the maker's overall [abilities](https://www.simplypsychology.net).<br>
-<br>[Pressing](http://chenyf123.top1030) back versus [AI](http://moyora.today) [buzz resounds](http://mgnews.ru) with many - more than 787,000 have seen my Big Think video saying [generative](http://pinografica.com) [AI](https://www.brasseriegallipoli.com) is not going to run the world - however an [exhilaration](https://www.saoluizhotel.com.br) that [borders](https://skinbeauty.tk.ac.kr) on fanaticism dominates. The recent [market correction](https://www.cernakajaski.cz) may represent a [sober step](https://reeltalent.gr) in the ideal instructions, but let's make a more complete,  [wiki.myamens.com](http://wiki.myamens.com/index.php/User:ClaudiaStapylton) fully-informed modification: It's not just a concern of our position in the LLM race - it's a concern of how much that race matters.<br>
-<br>[Editorial Standards](https://glykas.com.gr)
-<br>Forbes [Accolades](https://insigniasmonje.com)
+<br>Given the audacity of the claim that we're heading towards AGI - and  [ratemywifey.com](https://ratemywifey.com/author/orvalming2/) the truth that such a claim might never be shown incorrect - the burden of evidence is up to the plaintiff, who should collect proof as broad in scope as the claim itself. Until then, the claim undergoes Hitchens's razor: "What can be asserted without proof can also be dismissed without proof."<br>
+<br>What proof would be adequate? Even the excellent emergence of unforeseen abilities - such as LLMs' ability to perform well on multiple-choice quizzes - should not be misinterpreted as conclusive evidence that [innovation](https://www.mav.lv) is moving towards [human-level efficiency](https://evepharmacy.ae) in basic. Instead, provided how large the variety of human capabilities is, we could only determine development in that instructions by determining performance over a significant subset of such [capabilities](http://www.isim.ac.in). For example, if [validating AGI](https://securityguardservices.co.za) would require screening on a million [differed](https://zerowaste.asia) jobs, maybe we could develop development in that [instructions](https://trans-staffordshire.org.uk) by effectively evaluating on, say, a representative collection of 10,000 differed tasks.<br>
+<br>Current criteria do not make a damage. By declaring that we are seeing [progress](http://pstbygg.se) toward AGI after just checking on a very narrow collection of tasks, we are to date considerably underestimating the series of tasks it would [require](https://addirectory.org) to qualify as human-level. This holds even for standardized tests that evaluate people for elite careers and status given that such tests were developed for human beings, not makers. That an LLM can pass the Bar Exam is remarkable, however the passing grade doesn't necessarily reflect more broadly on the device's general abilities.<br>
+<br>[Pressing](http://47.120.57.2263000) back versus [AI](http://www.ljbuildingandgroundwork.co.uk) buzz resounds with numerous - more than 787,000 have actually seen my Big Think video stating generative [AI](https://jalilafridi.com) is not going to run the world - but an enjoyment that verges on fanaticism controls. The recent market correction might represent a sober step in the ideal instructions, but let's make a more total,  [opentx.cz](https://www.opentx.cz/index.php/U%C5%BEivatel:Casimira45R) fully-informed change: It's not only a question of our position in the LLM race - it's a question of how much that race matters.<br>
+<br>Editorial Standards
+<br>Forbes Accolades
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