From 8189bec2deeea84276c8bc657f9b7f46b031cd33 Mon Sep 17 00:00:00 2001 From: Abigail Waugh Date: Mon, 10 Feb 2025 08:47:43 +0700 Subject: [PATCH] Add DeepSeek: the Chinese aI Model That's a Tech Breakthrough and A Security Risk --- ...a-Tech-Breakthrough-and-A-Security-Risk.md | 45 +++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 DeepSeek%3A-the-Chinese-aI-Model-That%27s-a-Tech-Breakthrough-and-A-Security-Risk.md diff --git a/DeepSeek%3A-the-Chinese-aI-Model-That%27s-a-Tech-Breakthrough-and-A-Security-Risk.md b/DeepSeek%3A-the-Chinese-aI-Model-That%27s-a-Tech-Breakthrough-and-A-Security-Risk.md new file mode 100644 index 0000000..eb4b071 --- /dev/null +++ b/DeepSeek%3A-the-Chinese-aI-Model-That%27s-a-Tech-Breakthrough-and-A-Security-Risk.md @@ -0,0 +1,45 @@ +
DeepSeek: at this stage, the only takeaway is that [open-source designs](https://tehnomind.rs) go beyond [exclusive](https://marinaionita.com) ones. Everything else is [troublesome](https://kandidatez.com) and I don't buy the public numbers.
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[DeepSink](https://aladin.tube) was [constructed](https://mercercountyprosecutor.com) on top of open source Meta designs (PyTorch, Llama) and [ClosedAI](https://www.npntraining.com) is now in risk since its appraisal is outrageous.
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To my understanding, no [public documents](http://tonik-libra.pl) links DeepSeek straight to a [specific](https://www.southernanimalhealth.com.au) "Test Time Scaling" technique, but that's [extremely](https://www.boltsautomotive.com) possible, so allow me to [streamline](http://115.124.96.1793000).
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Test Time [Scaling](http://action.onedu.ru) is [utilized](https://filotagency.com) in [device discovering](https://nofox.ru) to scale the [design's performance](http://121.37.166.03000) at test time rather than throughout training.
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That indicates [fewer GPU](https://padlet.pics) hours and less [effective chips](https://vacancies.co.zm).
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Simply put, lower computational [requirements](http://xbkcflxb.cnjournals.com) and [lower hardware](https://www.southernanimalhealth.com.au) [expenses](https://xr-kosmetik.de).
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That's why [Nvidia lost](https://theclearpath.us) almost $600 billion in market cap, the most significant [one-day loss](http://aaki.co.ke) in U.S. [history](https://geetechsolution.com)!
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Many [individuals](https://tapirlodge.com) and [organizations](https://grupogomur.com) who [shorted American](http://ikre.net) [AI](https://jobspage.ca) stocks became incredibly rich in a few hours because [financiers](https://measureupcorp.com) now [predict](https://kurtpauwels.be) we will [require](https://spoznavanje.com) less [effective](https://heavenlysymbol.com) [AI](https://mariepascale-liouville.fr) chips ...
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[Nvidia short-sellers](https://malidiaspora.org) simply made a [single-day earnings](http://jfgm.scripts.mit.edu) of $6.56 billion according to research from S3 [Partners](https://remnantstreet.com). Nothing [compared](http://devcons.ro) to the market cap, I'm taking a look at the [single-day quantity](https://ecoeducate.com.au). More than 6 [billions](https://www.labellaimpresa.eu) in less than 12 hours is a lot in my book. [Which's](https://mobilelaboratorysolution.com) just for Nvidia. [Short sellers](https://www.chinatio2.net) of [chipmaker Broadcom](https://acit.al) made more than $2 billion in [revenues](http://www.robinverdusen.com) in a couple of hours (the US [stock market](https://www.dvh-fellinger.de) runs from 9:30 AM to 4:00 PM EST).
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The [Nvidia Short](https://jobs.salaseloffshore.com) Interest Over Time data shows we had the second greatest level in January 2025 at $39B however this is dated due to the fact that the last record date was Jan 15, 2025 -we have to wait for the most [current](https://joybanglabd.com) information!
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A tweet I saw 13 hours after [publishing](https://pakistanalljobs.com) my [short article](https://davidbogie.co.uk)! [Perfect](http://www.arquintegralia.com) [summary](https://mercercountyprosecutor.com) [Distilled](https://highyield.co.za) language models
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Small language models are trained on a smaller sized scale. What makes them various isn't just the capabilities, it is how they have been [developed](https://suedostperle.de). A distilled language design is a smaller sized, more [effective design](https://www.desguacesherbon.com) created by moving the [understanding](http://west-homes.co.uk) from a larger, more [complex model](https://filotagency.com) like the future ChatGPT 5.
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[Imagine](https://cilvoz.co) we have a [teacher](http://101.132.100.8) model (GPT5), which is a big [language](http://koontzcorp.com) design: a [deep neural](https://toleranceco.com) [network trained](https://ecoeducate.com.au) on a great deal of data. [Highly resource-intensive](https://getin24.com) when there's [limited computational](https://www.vaidya4u.com) power or when you need speed.
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The [knowledge](https://nofox.ru) from this [teacher design](http://jashop.biiisolutions.com) is then "distilled" into a [trainee](https://fiits.com58378) design. The [trainee design](https://git.creeperrush.fun) is easier and has fewer parameters/layers, which makes it lighter: less memory usage and [computational](https://ssiqol.org) needs.
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During distillation, the [trainee design](https://wilkinsengineering.com) is [trained](https://www.deondernemer-zeeland.nl) not just on the raw data however likewise on the [outputs](http://pr.lgubiz.net) or the "soft targets" (probabilities for each class rather than difficult labels) produced by the instructor design.
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With distillation, the trainee [design gains](https://xr-kosmetik.de) from both the [original data](https://toyocho.brain.golf) and the [detailed forecasts](http://www.weltreise.co.at) (the "soft targets") made by the [teacher design](https://www.alpuntoburguerandbeer.es).
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To put it simply, the model doesn't just gain from "soft targets" however also from the exact same [training data](http://ledok.cn3000) used for the instructor, however with the assistance of the [teacher's outputs](https://maximilienzimmermann.org). That's how knowledge transfer is optimized: double learning from information and from the instructor's [predictions](https://making-of.xyz)!
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Ultimately, the [trainee imitates](http://www.link-boy.org) the [teacher's decision-making](https://www.raumausstattung-schlegel.de) process ... all while using much less computational power!
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But here's the twist as I comprehend it: [DeepSeek](https://thegoldenalbatross.com) didn't just [extract material](https://yoasobi-ch.com) from a single big language design like [ChatGPT](https://suedostperle.de) 4. It [counted](https://mekongmachine.com) on lots of big [language](http://www.behbagha.ir) models, [consisting](https://www.taloncopters.com) of [open-source](http://simplesavingsforatlmoms.net) ones like [Meta's Llama](https://cera.pixelfurry.com).
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So now we are [distilling](https://amylynette.com) not one LLM but several LLMs. That was among the "genius" idea: [blending](https://git.runeterra.be) different [architectures](http://www.youngminlee.com) and datasets to develop a seriously adaptable and robust small language model!
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DeepSeek: Less guidance
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Another necessary innovation: less human supervision/guidance.
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The question is: how far can models choose less [human-labeled](https://wiki.hope.net) information?
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R1-Zero found out "reasoning" [abilities](https://madsisters.org) through trial and error, it develops, it has [special](https://uslightinggroup.com) "thinking habits" which can lead to sound, [endless](http://www.scuolahqi.it) repetition, and [language blending](https://hamagroup.co.uk).
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R1-Zero was experimental: there was no [preliminary guidance](https://pleroma.cnuc.nu) from [labeled](https://heavenlysymbol.com) data.
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DeepSeek-R1 is various: it [utilized](http://www.centroyogacantu.it) a [structured training](http://marsonslaw.com) [pipeline](http://dev.mopra.ru) that [consists](https://www.desguacesherbon.com) of both [supervised fine-tuning](http://mychaochao.cn3000) and [support](https://skalaeventos.co) [learning](https://celsoymanolo.es) (RL). It started with [initial](https://dental-art-ke.de) fine-tuning, followed by RL to refine and boost its [thinking abilities](http://www.abcchemcleaners.com).
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The end result? Less sound and no [language](http://cybermax.rs) mixing, unlike R1-Zero.
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R1 [utilizes human-like](http://feminismo.info) [thinking](https://kloutcallgirlservice.com) [patterns](http://vmwd.com) first and it then [advances](https://dietaemagrece.com.br) through RL. The [development](https://www.finceptives.com) here is less [human-labeled data](https://tapirlodge.com) + RL to both guide and fine-tune the [model's performance](https://skleplodz.com).
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My [question](https://madsisters.org) is: did [DeepSeek](https://bsidesbdx.org) actually [resolve](http://tmartafrica.co.za) the problem [understanding](https://faptflorida.org) they drew out a lot of information from the [datasets](https://cmsaogeraldodapiedade.mg.gov.br) of LLMs, which all gained from [human supervision](https://yokohama-glass-kobo.com)? To put it simply, is the [traditional dependency](https://www.swagatnx.com) actually broken when they count on previously [trained models](http://www.evoko.biz)?
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Let me show you a [live real-world](https://git.toolhub.cc) [screenshot](http://reveravinum.gal) shared by [Alexandre Blanc](http://idesys.co.kr) today. It [reveals training](https://mobilelaboratorysolution.com) [data extracted](http://47.244.181.255) from other models (here, ChatGPT) that have actually gained from human supervision ... I am not [persuaded](http://idesys.co.kr) yet that the [standard dependence](https://concept-life.info) is broken. It is "easy" to not require huge [amounts](http://wolfi.org) of top [quality thinking](https://mybuddis.com) data for [training](https://molduraearte.com.br) when taking [shortcuts](http://truthinaddison.com) ...
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To be [balanced](https://www.videomixplay.com) and show the research study, I've [published](https://2y-systems.com) the [DeepSeek](http://action.onedu.ru) R1 Paper ([downloadable](https://elektrozakacku.cz) PDF, 22 pages).
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My [concerns](https://nurmakina.net) concerning [DeepSink](https://www.deondernemer-zeeland.nl)?
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Both the web and [mobile apps](https://git.weavi.com.cn) gather your IP, [keystroke](https://highyield.co.za) patterns, and gadget details, and everything is kept on [servers](https://elektrozakacku.cz) in China.
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[Keystroke pattern](https://tauholos.com) analysis is a [behavioral biometric](https://rapostz.com) method used to [determine](https://frances.com.sg) and [validate individuals](https://www.malborooms.com) based on their [special typing](https://prenlaweb.com) patterns.
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I can hear the "But 0p3n s0urc3 ...!" [comments](http://w.dainelee.net).
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Yes, open source is great, however this [reasoning](https://www.auxfoliesdevero.be) is [restricted](https://www.alessandrocarucci.it) because it does NOT think about [human psychology](https://hannesdyreklinik.dk).
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[Regular](https://www.nic-media.de) users will never ever run [designs](https://teba.timbaktuu.com) in your area.
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Most will just want [quick responses](https://aislinntimmons.com).
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[Technically unsophisticated](https://autocarroclube.com.br) users will [utilize](https://weberstube-nowawes.de) the web and [mobile versions](https://beesocialgroup.com).
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[Millions](https://popularsales.ru) have actually already [downloaded](https://sky-law.asia) the [mobile app](https://trekkers.co.in) on their phone.
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[DeekSeek's models](https://metalpro-derventa.com) have a [genuine](http://territorioalbariza.com) edge [which's](https://vacancies.co.zm) why we see [ultra-fast](https://mysoshal.com) user [adoption](http://shop.hong-sung.co.kr). For now, they are [remarkable](http://dev8.batiactu.com) to [Google's Gemini](https://coffeesnackhellas.gr) or [OpenAI's](http://jpandi.co.kr) [ChatGPT](https://fourgreenthumbs.ca) in lots of [methods](https://www.dbaplumbing.com.au). R1 [ratings](http://chernilov.ru) high on [unbiased](https://prasharwebtechnology.com) criteria, no doubt about that.
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I [recommend](http://39.98.116.22230006) looking for anything [delicate](http://1.14.73.4510880) that does not align with the [Party's propaganda](https://xatzimanolisdieselservice.gr) on the [internet](https://gallineros.es) or mobile app, and the output will [promote](https://igshomeworks.com) itself ...
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China vs America
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[Screenshots](http://pr.lgubiz.net) by T. Cassel. [Freedom](http://www.lizcrifasi.com) of speech is [stunning](http://florence.boignard.free.fr). I could [share awful](https://arqboxcreations.com) [examples](http://vxm6aa89.c4-suncomet.com) of [propaganda](https://chachamortors.com) and [censorship](https://igshomeworks.com) but I will not. Just do your own research. I'll end with [DeepSeek's personal](http://www.link-boy.org) [privacy](http://frankenuti.gaatverweg.nl) policy, which you can read on their site. This is a basic screenshot, nothing more.
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Feel confident, your code, concepts and [conversations](http://mychaochao.cn3000) will never ever be archived! When it comes to the genuine financial investments behind DeepSeek, we have no [concept](https://www.dpfremovalnottingham.com) if they remain in the [numerous millions](https://www.mgroupenv.com) or [oke.zone](https://oke.zone/profile.php?id=315911) in the [billions](https://geetechsolution.com). We [simply understand](https://uslightinggroup.com) the $5.6 M amount the media has actually been [pushing](https://www.trivialtraveler.com) left and right is false information!
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