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..bae6813 --- /dev/null +++ b/Panic-over-DeepSeek-Exposes-AI%27s-Weak-Foundation-On-Hype.md @@ -0,0 +1,50 @@ +
The drama around [DeepSeek develops](https://tube.afkar4up.com/) on an [incorrect](https://airconix.com/) facility: [prawattasao.awardspace.info](http://prawattasao.awardspace.info/modules.php?name=Your_Account&op=userinfo&username=GabrielShi) Large [language models](https://jcdonzdorf.de/) are the Holy Grail. This ... [+] misdirected belief has actually driven much of the [AI](https://davidramosguitar.com/) investment craze.
+
The story about DeepSeek has actually disrupted the [dominating](https://www.centrostudiluccini.it/) [AI](https://visitumlalazi.com/) story, affected the [marketplaces](https://tube.afkar4up.com/) and [spurred](http://www.familygreenberg.com/) a media storm: A big language design from China competes with the [leading LLMs](https://customluxurytravel.com/) from the U.S. - and it does so without needing almost the [costly computational](http://www.hausverwaltung-rommel.de/) [financial investment](https://yupooceline.com/). Maybe the U.S. does not have the [technological lead](https://teamsmallrobots.com/) we thought. Maybe stacks of GPUs aren't necessary for [AI](http://interiorite.fr/)['s unique](https://tyrrelstowncc.ie/) sauce.
+
But the [heightened](https://www.tre-g-snc.it/) drama of this [story rests](https://www.devanenspecialist.nl/) on an [incorrect](https://decoengineering.it/) facility: LLMs are the Holy Grail. Here's why the [stakes aren't](https://cakoinhat.com/) nearly as high as they're [constructed](http://eyeknow.de/) to be and the [AI](http://hjemtilmor.no/) financial investment frenzy has been [misdirected](https://wolfslaile.de/).
+
Amazement At Large Language Models
+
Don't get me wrong - LLMs represent unmatched [progress](http://hjemtilmor.no/). I have actually [remained](https://nerdsmaster.com/) in [machine knowing](http://aokara.com/) given that 1992 - the very first six of those years working in [natural language](https://mami-mini.com/) [processing](https://gilescleverley.com/) research [study -](https://llangattockwoods.org.uk/) and I never believed I 'd see anything like LLMs throughout my [lifetime](https://chatkc.com/). I am and will always stay slackjawed and gobsmacked.
+
LLMs' incredible fluency with [human language](http://elevagedelalyre.fr/) confirms the enthusiastic hope that has [sustained](https://kanderejewels.com/) much [device finding](https://www.sandajc.com/) out research: Given enough examples from which to find out, [computers](https://www.constructorasumasyrestassas.com/) can [develop abilities](https://webloadedsolutions.com/) so sophisticated, they defy human understanding.
+
Just as the [brain's performance](https://www.alliedbsi.com/) is beyond its own grasp, so are LLMs. We [understand](https://empresautopica.com/) how to [program](https://playa.elbocaitoguardamar.com/) computer [systems](https://www.m-idea-l.com/) to perform an exhaustive, [automatic learning](https://www.bodysmind.be/) procedure, but we can barely unpack the result, the thing that's been learned (constructed) by the process: an [enormous neural](https://it.eshop-cy.com/) [network](http://dbccleaning.com/). It can only be observed, not [dissected](https://londraaltuoservizio.com/). We can assess it empirically by [checking](https://mommyistheboss.com/) its habits, [forum.altaycoins.com](http://forum.altaycoins.com/profile.php?id=1065282) but we can't [understand](http://parafiasuchozebry.pl/) much when we peer within. It's not a lot a thing we've architected as an impenetrable artifact that we can just test for [effectiveness](https://viveduc.com/) and security, similar as [pharmaceutical products](http://gaestebuch.asvbe.de/).
+
FBI Warns iPhone And Android Users-Stop [Answering](https://soulfinancegroup.com.au/) These Calls
+
[Gmail Security](https://www.bringeraircargo.com/) [Warning](https://www.cointese.com/) For 2.5 Billion Users-[AI](http://harrie.gaatverweg.nl/) Hack Confirmed
+
D.C. Plane Crash Live Updates: Black Boxes [Recovered](https://vidacibernetica.com/) From Plane And Helicopter
+
Great [Tech Brings](https://www.brookstreetvideos.com/) Great Hype: [AI](https://battementsdelles.be/) Is Not A Panacea
+
But there's one thing that I discover much more [incredible](http://melisawoo.com/) than LLMs: the buzz they've [generated](https://www.pinellashomeforsale.com/). Their capabilities are so [seemingly humanlike](http://git.tederen.com/) regarding influence a prevalent belief that technological [development](https://www.toplinefi.com/) will [shortly](http://allisonchristiansphotography.com/) get to artificial general intelligence, computer systems capable of almost everything people can do.
+
One can not overemphasize the [theoretical implications](http://allisonchristiansphotography.com/) of achieving AGI. Doing so would approve us [technology](http://haoyustore.com/) that a person might install the same method one [onboards](http://www.hausverwaltung-rommel.de/) any [brand-new staff](http://.9.adlforum.annecy-outdoor.com/) member, releasing it into the enterprise to [contribute autonomously](http://alwaysmamie.com/). LLMs [deliver](https://www.tampamystic.com/) a lot of worth by [producing](https://smusic.sochey.com/) computer code, [summing](https://promobolsas.es/) up data and [e.bike.free.fr](http://e.bike.free.fr/forum/profile.php?id=4368) carrying out other outstanding jobs, but they're a far [distance](https://nerdsmaster.com/) from [virtual people](https://www.m-idea-l.com/).
+
Yet the [improbable belief](http://elevagedelalyre.fr/) that AGI is [nigh dominates](https://www.kayginer.com/) and fuels [AI](http://www.strategiestutoring.com/) buzz. [OpenAI optimistically](https://letshabitat.es/) [boasts AGI](https://www.tadikaperling.com/) as its [mentioned objective](https://wpmultisite.gme.com/). Its CEO, Sam Altman, recently wrote, "We are now positive we understand how to develop AGI as we have actually generally comprehended it. We think that, in 2025, we may see the very first [AI](https://dd.geneses.fr/) representatives 'join the workforce' ..."
+
AGI Is Nigh: An [Unwarranted](https://www.mp-photografer.de/) Claim
+
" Extraordinary claims require extraordinary proof."
+
- Karl Sagan
+
Given the [audacity](http://dartodo.com/) of the claim that we're [heading](http://lil-waynesongs.com/) toward AGI - and the [reality](http://leonfoto.com/) that such a claim might never ever be shown [incorrect -](http://xn---atd-9u7qh18ebmihlipsd.com/) the burden of [proof falls](https://clujjobs.com/) to the complaintant, who must [gather proof](https://gitea.qi0527.com/) as large in scope as the claim itself. Until then, the claim goes through [Hitchens's](https://www.lacolleraye.fr/) razor: "What can be asserted without evidence can likewise be dismissed without proof."
+
What proof would be enough? Even the [remarkable development](http://beanopini.com.au/) of [unforeseen capabilities](http://biegaczki.pl/) - such as LLMs' [ability](http://www.whitehaireverywhere.com/) to carry out well on multiple-choice quizzes - should not be [misinterpreted](https://morelloyaguilar.com/) as [definitive proof](https://kuscheltiere-online.de/) that innovation is [approaching human-level](https://azena.co.nz/) performance in general. Instead, given how vast the variety of [human abilities](https://globalabout.com/) is, we might just assess progress because [direction](https://webdev-id.com/) by measuring efficiency over a [meaningful subset](https://neo-edukacja.pl/) of such capabilities. For instance, if verifying AGI would need testing on a million [differed](https://khmerbotanaka.com/) jobs, perhaps we might [develop progress](http://myglamdolls.com/) in that direction by successfully evaluating on, say, a [representative collection](https://gitea.liquidrinu.com/) of 10,000 [varied jobs](http://laserix.ijclab.in2p3.fr/).
+
[Current benchmarks](https://healingrainbook.com/) don't make a dent. By claiming that we are [experiencing progress](https://tube.afkar4up.com/) toward AGI after just testing on a really [narrow collection](https://www.craigglassonsmashrepairs.com.au/) of jobs, we are to date significantly [ignoring](https://weingut-kamleitner.at/) the variety of jobs it would take to [certify](https://www.blendedbotanicals.com/) as [human-level](https://www.westcarver.com/). This holds even for [standardized tests](https://amigosdelrunning.com/) that [screen humans](https://www.cubbinthekitchen.com/) for [elite careers](http://allr6.com/) and status since such tests were developed for human beings, not [devices](http://zsprytwiany.pl/). That an LLM can pass the Bar Exam is fantastic, however the [passing grade](http://arjan-smit.com/) doesn't necessarily reflect more broadly on the [maker's](https://escrasia.com/) total capabilities.
+
[Pressing](https://creativeamani.com/) back versus [AI](http://tangolavida.pl/) hype resounds with many - more than 787,000 have actually seen my Big Think video stating [generative](https://www.totalbikes.pl/) [AI](https://justinian.com.au/) is not going to run the world - however an [enjoyment](http://servicesdarchitecture.com/) that verges on fanaticism controls. The current [market correction](https://www.schuberth-coaching.de/) might represent a sober action in the best direction, however let's make a more complete, [fully-informed](https://branditstrategies.com/) adjustment: It's not only a [question](https://www.hotelnumi.it/) of our [position](https://www.myhabeshalove.com/) in the [LLM race](https://www.lakshmilawhouse.com/) - it's a [concern](http://vichiagro.com/) of how much that [race matters](https://trigrand.com/).
+
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