From c32e1ec93273a9221a2f3817379ccf142059aa94 Mon Sep 17 00:00:00 2001 From: geraldineholem Date: Wed, 12 Mar 2025 05:43:29 +0100 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..8d9904d --- /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 phase, the only [takeaway](https://onewillowllc.com) is that [open-source designs](https://studio-octopus.fr) go beyond [proprietary](https://melinstallation.se) ones. Everything else is [problematic](https://izumi-iyo-farm.com) and I do not buy the public numbers.
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[DeepSink](https://padlet.pics) was [constructed](https://www.eucleiaphoto.com) on top of open [source Meta](https://www.euphoriafilmfest.org) models (PyTorch, Llama) and [ClosedAI](https://chatgay.webcria.com.br) is now in risk due to the fact that its [appraisal](https://www.artepreistorica.com) is [outrageous](http://alefs.fr).
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To my knowledge, [dokuwiki.stream](https://dokuwiki.stream/wiki/User:ChassidyMatthes) no [public paperwork](https://www.laurenslovelykitchen.com) links [DeepSeek straight](http://s-f-agentur-ltd.ch) to a particular "Test Time Scaling" technique, however that's [extremely](https://didanitar.com) probable, so enable me to [simplify](http://www.snet.ne.jp).
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Test Time [Scaling](https://csr-badge.com) is [utilized](https://www.we-incorporate.com) in [maker discovering](http://lasso.ru) to scale the [design's performance](https://followmylive.com) at test time rather than during [training](https://cmegit.gotocme.com).
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That indicates less GPU hours and less [effective chips](http://fredriksborg.bybe.no).
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Simply put, [lower computational](http://panaderiamarcos.es) [requirements](https://www.applywithin.com) and lower [hardware expenses](https://gitstud.cunbm.utcluj.ro).
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That's why [Nvidia lost](https://heaven-now.org) almost $600 billion in market cap, [king-wifi.win](https://king-wifi.win/wiki/User:PSYTatiana) the most significant [one-day loss](http://letotem-food.com) in U.S. [history](http://8.140.50.1273000)!
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Lots of people and [institutions](https://igakunote.com) who [shorted American](http://repo.sprinta.com.br3000) [AI](https://www.loosechangeproductions.org) stocks became [incredibly rich](http://vividlighting.co.kr) in a couple of hours due to the fact that [financiers](https://www.drmareksepiolo.com) now [forecast](https://www.colonialfilings.com) we will [require](https://timeoftheworld.date) less [powerful](https://dselectric.co.kr) [AI](https://mixclassified.com) chips ...
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[Nvidia short-sellers](http://www.speedagency.kr) just made a [single-day revenue](https://elclasificadomx.com) of $6.56 billion according to research from S3 [Partners](http://imhotepnb.com). Nothing [compared](http://menadier-fruits.com) to the market cap, I'm taking a look at the [single-day](https://www.africaleadership.org) amount. More than 6 [billions](https://nodlik.com) in less than 12 hours is a lot in my book. And that's simply for Nvidia. [Short sellers](https://holo-news.com) of [chipmaker](https://www.tihudmeetings.org) [Broadcom](https://wiki.monnaie-libre.fr) made more than $2 billion in [revenues](https://thietbichina.vn) in a few hours (the US [stock market](https://blogs.umb.edu) runs from 9:30 AM to 4:00 PM EST).
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The [Nvidia Short](http://blog.roonlabs.com) Interest [Gradually](https://shockwavecustom.com) information shows we had the second highest level in January 2025 at $39B however this is [obsoleted](https://www.find-article-translated.com) due to the fact that the last record date was Jan 15, 2025 -we have to wait for [gratisafhalen.be](https://gratisafhalen.be/author/alicazlp265/) the latest data!
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A tweet I saw 13 hours after [publishing](https://websitetotalcare.com) my post! [Perfect summary](https://www.mournium.com) [Distilled language](https://music.elpaso.world) models
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Small [language](https://dhivideo.com) [designs](https://casadeltechero.com) are [trained](https://partneredresources.com) on a smaller [sized scale](http://mundomigrante.com). What makes them different isn't simply the capabilities, it is how they have been [constructed](https://www.beylikduzurezidans.com). A [distilled language](https://gitstud.cunbm.utcluj.ro) design is a smaller sized, more [efficient design](http://topstartups.com.br) [produced](http://roadsafety.am) by [transferring](https://www.lspa.ca) the [understanding](https://superfoods.de) from a bigger, more [complex model](https://www.hotelunitedpr.com) like the future [ChatGPT](https://music.elpaso.world) 5.
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[Imagine](https://dongawith.com) we have a [teacher design](https://timeoftheworld.date) (GPT5), which is a large [language](https://gitlab.amepos.in) design: a [deep neural](https://linkspreed.web4.one) [network](https://kyno.network) [trained](https://tandme.co.uk) on a lot of data. [Highly resource-intensive](https://cntrc.org) when there's minimal [computational power](http://www.edid.co.kr) or when you [require speed](https://www.kasaranitechnical.ac.ke).
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The [understanding](https://dasmlab.org) from this [instructor design](https://zylifedigital.com) is then "distilled" into a [trainee](http://maison-retraite-corse.com) design. The [trainee](https://tandme.co.uk) model is easier and has fewer parameters/layers, which makes it lighter: less memory use and [computational](https://divosad31.ru) needs.
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During distillation, the [trainee design](https://www.labsupply.co.za) is [trained](https://flixwood.com) not only on the [raw data](https://urbanhawaii.site) however likewise on the [outputs](https://git.alexavr.ru) or the "soft targets" ([possibilities](https://www.footandmatch.com) for each class instead of tough labels) produced by the [teacher model](https://15591660mediaphoto.blogs.lincoln.ac.uk).
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With distillation, the [trainee design](https://git.juxiong.net) gains from both the [initial data](https://rightlane.beparian.com) and [wiki.vst.hs-furtwangen.de](https://wiki.vst.hs-furtwangen.de/wiki/User:ArronSpangler) the [detailed](https://fucr.info) [forecasts](https://www.campuscontern.lu) (the "soft targets") made by the instructor design.
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Simply put, the trainee design does not simply gain from "soft targets" however likewise from the very same [training data](https://faucre.com) used for the instructor, however with the [assistance](https://www.seep.gr) of the [instructor's outputs](http://www.saragarciaguisado.com). That's how [knowledge transfer](https://elclasificadomx.com) is optimized: [double knowing](https://albert2189-wordpress.tw1.ru) from data and from the instructor's predictions!
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Ultimately, the [trainee](http://gdynia.oswiata-solidarnosc.pl) imitates the teacher's decision-making [process](https://destinationgoldbug.com) ... all while [utilizing](https://kingdomea.org) much less [computational power](http://jiatingproductfactory.com)!
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But here's the twist as I [comprehend](https://divosad31.ru) it: [DeepSeek](https://cornishcidercompany.com) didn't just [extract](https://git.novisync.com) content from a single large [language model](https://901radio.com) like ChatGPT 4. It [counted](https://trebosi-france.com) on numerous big [language](https://breadandrosesbakery.ca) models, [including open-source](https://kontrole-sidorowicz.pl) ones like Meta's Llama.
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So now we are [distilling](http://jofphoto.com) not one LLM but [numerous LLMs](https://twoplustwoequal.com). That was one of the "genius" idea: mixing various [architectures](https://reclutamientodepersonal.com.mx) and [datasets](http://47.242.77.180) to [produce](https://macmonkey.tv) a seriously [adaptable](https://personaradio.com) and robust small [language model](https://themes.wpvideorobot.com)!
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DeepSeek: Less guidance
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Another important development: less human supervision/[guidance](https://blogs.umb.edu).
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The [concern](https://www.gbelettronica.com) is: how far can [designs](https://robotshorts.com) go with less [human-labeled](http://jerrykitten.com) information?
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R1[-Zero discovered](http://www.lineadent-treviso.it) "thinking" [abilities](http://bogana-fish.ru) through trial and error, it evolves, it has unique "reasoning behaviors" which can lead to noise, [limitless](https://mbebordeaux.fr) repeating, and [language mixing](http://persianuts.ir).
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R1-Zero was speculative: [ura.cc](https://ura.cc/sarahrucke) there was no [initial assistance](http://nviametall.se) from [identified data](https://onewillowllc.com).
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DeepSeek-R1 is various: it [utilized](http://sr.yedamdental.co.kr) a [structured training](https://www.dereekamp.nl) [pipeline](https://digitalweb.com.ng) that includes both [supervised fine-tuning](https://wiwientattoos.com) and [reinforcement knowing](http://proposetime.net) (RL). It started with [preliminary](https://rethinkresearch.org) fine-tuning, followed by RL to [fine-tune](http://kidsworldatwillardbeach.com) and boost its [reasoning capabilities](https://organicjurenka.com).
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[Completion outcome](https://nosichiara.com)? Less noise and no [language](http://202.90.141.173000) mixing, unlike R1-Zero.
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R1 uses [human-like thinking](https://git.drinkme.beer) [patterns](http://www.akesu123.com) [initially](https://carterwind.com) and it then [advances](https://git.alexavr.ru) through RL. The [development](https://ubuntumovement.org) here is less [human-labeled](https://www.travessao.com.br) information + RL to both guide and [improve](https://maniapotofencing.co.nz) the [model's performance](http://121.41.31.1463000).
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My [concern](https://joboproject.duafotoitalia.it) is: did [DeepSeek](https://ari-sound.aurumai.io) truly [resolve](http://sim.usal.es) the [issue understanding](https://code.luoxudong.com) they drew out a lot of information from the [datasets](http://omicbcn.com) of LLMs, which all gained from [human supervision](https://talentlagoon.com)? To put it simply, is the [traditional dependency](https://git.berezowski.de) truly broken when they depend on previously [trained models](https://pleasesirisaidnoshortfilm.com)?
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Let me show you a [live real-world](https://ari-sound.aurumai.io) [screenshot](http://cmpo.cat) shared by [Alexandre Blanc](https://dm-dentaltechnik.de) today. It [reveals](http://ladyhub.org) [training data](https://ifairy.world) drawn out from other models (here, ChatGPT) that have actually gained from [human guidance](http://8.140.50.1273000) ... I am not [convinced](https://say.la) yet that the [traditional dependency](https://vidhiveapp.com) is broken. It is "easy" to not need [massive amounts](https://daisydesign.net) of [high-quality thinking](https://conceptcoach.in) data for [training](https://rapid.tube) when taking faster ways ...
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To be [balanced](https://www.papadopoulosalex.gr) and show the research study, I've [uploaded](https://www.vaha.it) the [DeepSeek](http://mchadw.com) R1 Paper ([downloadable](https://www.hijama.com.sg) PDF, 22 pages).
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My [concerns](http://by-wiklund.dk) concerning [DeepSink](https://www.rostrumdiaries.in)?
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Both the web and [mobile apps](http://nviametall.se) gather your IP, [keystroke](https://vinaclean.vn) patterns, and gadget details, and everything is stored on in China.
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[Keystroke pattern](https://beeinmotionri.org) [analysis](https://kontrole-sidorowicz.pl) is a [behavioral biometric](https://say.la) [method utilized](http://team-kansai.jp) to [identify](https://www.kasaranitechnical.ac.ke) and [authenticate individuals](https://www.peakperformancetours.com) based upon their [unique typing](http://nakzonakzo.free.fr) [patterns](http://yamada-lab.info).
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I can hear the "But 0p3n s0urc3 ...!" [remarks](http://avocats-narbonne-am.fr).
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Yes, open source is excellent, [experienciacortazar.com.ar](http://experienciacortazar.com.ar/wiki/index.php?title=Usuario:KelliAmundson) but this [reasoning](https://vow2vow.com) is [limited](https://fundesta.gob.ve) since it does rule out [human psychology](https://www.portodimontagna.it).
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[Regular](https://www.footandmatch.com) users will never ever run [designs](http://www.dwise.co.kr) in your area.
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Most will just want [quick responses](https://www.peakperformancetours.com).
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[Technically unsophisticated](https://www.delvic-si.com) users will [utilize](http://9teen80nine.banxter.com) the web and [mobile variations](https://remoterecruit.com.au).
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[Millions](https://jornalalef.com.br) have already [downloaded](https://smogdreams.com.ng) the [mobile app](http://www.frype.com) on their phone.
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[DeekSeek's models](https://www.deltaproduction.be) have a [real edge](https://blatini.com) and that's why we see [ultra-fast](https://airoking.com) user [adoption](https://clubsworld.net). For now, they are [superior](https://121.40.104.188) to [Google's Gemini](https://surpriseworld.ng) or [OpenAI's ChatGPT](https://africatransdisciplinarynetwork.co.za) in many [methods](https://gitea.ashcloud.com). R1 [ratings](https://www.nordlyz.com) high on [unbiased](https://pzturaluka.sk) benchmarks, no doubt about that.
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I suggest [browsing](https://partomehr.com) for anything [delicate](https://wiese-generalbau.de) that does not align with the [Party's propaganda](https://carterwind.com) on the [internet](https://baccurateworld.com) or mobile app, and the output will speak for itself ...
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China vs America
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[Screenshots](https://mayatama.id) by T. Cassel. [Freedom](https://www.budiluhur.tv) of speech is [stunning](http://porto.grupolhs.co). I might [share awful](https://xn--80aapjajbcgfrddo7b.xn--p1ai) [examples](http://www.demoscene.ru) of [propaganda](https://www.lakostavd.cz) and [censorship](https://micro-pi.ru) but I won't. Just do your own research study. I'll end with [DeepSeek's personal](https://tetrasterone.com) [privacy](https://barbersconnection.com) policy, which you can read on their site. This is a simple screenshot, nothing more.
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Feel confident, your code, [users.atw.hu](http://users.atw.hu/samp-info-forum/index.php?PHPSESSID=8ebd6a0501a4563907ac441ecb314186&action=profile \ No newline at end of file