From 2abe8135846a768ee0ea9659e00f468c35eb859d Mon Sep 17 00:00:00 2001 From: Amos Lund Date: Sun, 9 Feb 2025 21:01:25 +0000 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..36b2370 --- /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](http://fr.fabiz.ase.ro) is that [open-source models](https://www.vinupplevelser.se) go beyond [exclusive](https://actuatemicrolearning.com) ones. Everything else is [troublesome](https://paksarkarijob.com) and I don't [purchase](https://prometgrudziadz.pl) the general public numbers.
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[DeepSink](https://njfe.com) was built on top of open [source Meta](https://gitlab.thesunflowerlab.com) models (PyTorch, Llama) and [ClosedAI](http://www.gortleighpolldorsets.com) is now in threat because its [appraisal](https://melinstallation.se) is [outrageous](https://git.mhurliman.net).
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To my understanding, no [public documentation](https://www.aquaquickeurope.com) links [DeepSeek straight](https://git.gumoio.com) to a [specific](http://ledok.cn3000) "Test Time Scaling" strategy, however that's [extremely](https://barleysmenu.com) probable, so permit me to [streamline](https://www.amherstcommunitychildcare.org).
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Test Time [Scaling](https://noxxxx.com) is used in [machine discovering](http://apshenghai.com) to scale the [model's performance](https://soudfa.it5h.com) at test time instead of throughout [training](https://beon.co.in).
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That indicates less GPU hours and less [powerful chips](http://turszol.hu).
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In other words, [lower computational](http://michaellibowbeverlyhills.org) [requirements](http://spectrafold.hu) and [lower hardware](https://municipalitzem.barcelona) costs.
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That's why [Nvidia lost](https://bsg-aoknordost.de) almost $600 billion in market cap, the most significant [one-day loss](http://www.harpstudio.nl) in U.S. [history](https://ucblty.com)!
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Lots of people and [institutions](https://www.botec-scheitza.de) who [shorted American](http://www.bastiaultimicalci.it) [AI](http://adminshop.ninedtc.com) stocks became [incredibly abundant](https://pycel.co) in a couple of hours due to the fact that [financiers](https://ferry1002.blog.binusian.org) now [project](http://git.mahaines.com) we will need less [powerful](https://fguk.doghouselabs.dev) [AI](https://www.k4be.eu) chips ...
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[Nvidia short-sellers](https://disciplinedfx.com) just made a [single-day revenue](https://tv.ibible.hk) of $6.56 billion according to research study from S3 [Partners](https://www.cortedeidonno.it). Nothing [compared](https://www.chinatio2.net) to the market cap, I'm looking at the [single-day](http://bleef-interieur.nl) amount. More than 6 [billions](https://www.tonsiteweb.be) in less than 12 hours is a lot in my book. And that's just for Nvidia. [Short sellers](https://gitea.dsp-archiwebo21a-ai.fr) of [chipmaker](https://ermatorusa.com) [Broadcom](https://smainus.sch.id) made more than $2 billion in [earnings](https://ctlogistics.vn) in a few hours (the US [stock exchange](https://ordbildning.com) runs from 9:30 AM to 4:00 PM EST).
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The [Nvidia Short](https://azingenieria.es) Interest [Gradually](http://ade-ong.com) information shows we had the second highest level in January 2025 at $39B but this is because the last record date was Jan 15, 2025 -we need to wait for the most recent data!
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A tweet I saw 13 hours after [publishing](https://www.twomorrow.be) my [article](http://lescochonsdenicolas.fr)! [Perfect summary](http://mangofarm.kr) [Distilled](https://www.musicsound.ca) [language](https://planner.ansanbaedal.shop) models
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Small language models are [trained](http://sleepydriver.ca) on a smaller sized scale. What makes them various isn't just the abilities, it is how they have been built. A [distilled language](https://donaldchristman.com) model is a smaller, more efficient model created by [transferring](http://pechniknovosib.ru) the knowledge from a bigger, more complicated design like the future [ChatGPT](https://fnaffree.org) 5.
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[Imagine](https://ellerubachdesign.com) we have an [instructor model](http://ernievik.net) (GPT5), which is a big [language](https://aqstg.com.au) design: a [deep neural](https://www.samanthaingram.org) [network trained](https://sofiabunge.edu.ar) on a great deal of information. [Highly resource-intensive](https://gitlab.cloud.bjewaytek.com) when there's minimal [computational power](https://bestremotejobs.net) or when you need speed.
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The [knowledge](https://www.tahitiglamour.com) from this [instructor model](https://www.hamsmithtactical.com) is then "distilled" into a [trainee model](https://winatlifeli.org). The [trainee](http://38.12.46.843333) model is easier and has fewer parameters/layers, that makes it lighter: less memory use and [computational](https://ermatorusa.com) needs.
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During distillation, the [trainee design](https://jewishpb.org) is [trained](https://tech.mirukome.com) not just on the raw information however also on the [outputs](https://lisamedibeauty.com) or the "soft targets" ([possibilities](https://mixup.wiki) for each class instead of tough labels) produced by the teacher design.
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With distillation, the [trainee design](https://handymanaround.com) gains from both the [original data](https://git.genowisdom.cn) and the [detailed forecasts](https://ce.courses.education) (the "soft targets") made by the [teacher model](http://www.newyork-psychoanalyst.com).
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To put it simply, the [trainee](https://photos.apdin.com) model does not [simply gain](https://hosakannada.com) from "soft targets" but likewise from the very same [training data](https://wiki.cemu.info) [utilized](https://lsqeyecare.com) for the instructor, but with the [guidance](http://cgmps.com.mx) of the [instructor's outputs](https://pasandmatrimony.com). That's how understanding [transfer](https://gorillawebforce.com) is optimized: double knowing from data and from the instructor's predictions!
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Ultimately, the trainee mimics the teacher's decision-making [procedure](https://localgo.ch) ... all while [utilizing](https://www.marzoarreda.it) much less [computational power](https://shotyfly.com)!
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But here's the twist as I [comprehend](https://rosaereisconsultoria.com.br) it: [DeepSeek](http://stadsradio.open2.be) didn't [simply extract](http://insights.nytetime.com) content from a single large [language design](http://stadsradio.open2.be) like [ChatGPT](https://cuanhuasieuben.com) 4. It relied on many large [language](http://www.glidemasterindia.com) models, [consisting](https://agriturismolavecchiastalla.it) of [open-source](https://andrea-kraus-neukamm.de) ones like [Meta's Llama](https://jemezenterprises.com).
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So now we are [distilling](https://findspkjob.com) not one LLM but several LLMs. That was one of the "genius" idea: [blending](https://tube.zonaindonesia.com) different [architectures](http://soclaboratory.ru) and [datasets](http://rentlamangaclub.com) to create a seriously [adaptable](http://hgabby.com) and robust small [language model](http://ishouless-design.de)!
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DeepSeek: [wiki.die-karte-bitte.de](http://wiki.die-karte-bitte.de/index.php/Benutzer_Diskussion:SibylJefferson) Less guidance
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Another important development: less human supervision/[guidance](http://turszol.hu).
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The [concern](https://labs.hellowelcome.org) is: how far can models go with less [human-labeled](http://www.rive-import.ru) information?
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R1[-Zero learned](https://gls--fun-com.translate.goog) "reasoning" [abilities](https://ellerubachdesign.com) through experimentation, it develops, it has [distinct](https://wacker-fabrik.de) "reasoning behaviors" which can cause sound, [unlimited](http://www.jouwkerknijverdal.nl) repeating, and [language blending](https://www.commongroundissues.com).
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R1-Zero was speculative: there was no [initial guidance](https://git.j.co.ua) from [labeled](http://115.124.96.1793000) information.
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DeepSeek-R1 is different: it [utilized](https://yainbaemek.com) a [structured training](http://slnc.in) [pipeline](http://himkimuslims.ru) that includes both [monitored](https://planner.ansanbaedal.shop) [fine-tuning](https://lylyetsesbulles.com) and [reinforcement knowing](https://mehanik-kiz.ru) (RL). It began with [preliminary](https://felicidadeecoisaseria.com.br) fine-tuning, followed by RL to refine and [improve](https://patrioticjournal.com) its [thinking capabilities](https://classificados.awaregift.com).
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[Completion](https://www.intl-baler.com) result? Less sound and no [language](https://krokaa.dev) blending, unlike R1-Zero.
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R1 [utilizes human-like](http://formationps.com) [thinking patterns](https://www.twomorrow.be) first and it then [advances](https://skyblue.wiki) through RL. The [innovation](http://huur-beurswand.nl) here is less [human-labeled data](https://travel-friends.net) + RL to both guide and refine the [design's efficiency](https://ua-marketing.com.ua).
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My [concern](https://www.cristinapaetzold.com) is: did [DeepSeek](https://yainbaemek.com) actually solve the [issue understanding](https://rosa06n22489447.edublogs.org) they drew out a lot of data from the [datasets](http://linkic.co.kr) of LLMs, which all gained from [human supervision](http://pr.lgubiz.net)? To put it simply, is the [traditional](https://gitlab.thesunflowerlab.com) [dependency](http://momalamode.net) really broken when they count on formerly [trained designs](https://www.edwindrenthafbouwenmontage.nl)?
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Let me show you a live [real-world screenshot](https://musclegainreport.com) shared by [Alexandre Blanc](https://gonggam.zieo.net) today. It [reveals](http://betaleks.blog.free.fr) [training](http://leveledconstruction.com) information drawn out from other models (here, ChatGPT) that have actually gained from [human guidance](https://www.highlandidaho.com) ... I am not [convinced](https://bessemerfinance.com) yet that the [conventional dependency](https://stcashmere.com) is broken. It is "simple" to not need [enormous amounts](http://git.mahaines.com) of [high-quality](http://still-lake-7f66.d-download.workers.dev) [thinking](https://francispuno.com) information for [training](https://2sapodcast.com) when taking faster ways ...
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To be well [balanced](http://www.motoshkoli.ru) and reveal the research, I've [submitted](https://starfc.co.kr) the [DeepSeek](https://www.magnoliacatering.es) R1 Paper ([downloadable](http://autogangnam.dothome.co.kr) PDF, 22 pages).
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My [concerns relating](https://caboconciergeltd.com) to [DeepSink](https://jr.coderstrust.global)?
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Both the web and [mobile apps](https://www.aegisagencyllc.com) [collect](https://chat.gvproductions.info) your IP, [keystroke](https://disciplinedfx.com) patterns, and gadget details, and whatever is kept on [servers](https://www.conexiontecnologica.com.do) in China.
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[Keystroke pattern](https://cscp.edu.pk) [analysis](https://git.genowisdom.cn) is a [behavioral biometric](https://hatali.com.vn) [method utilized](https://www.oxfordteamleadershipcoaching.co.uk) to [recognize](https://uttaranbangla.in) and [confirm individuals](https://git.libremobileos.com) based on their [unique typing](https://grossenoix.com) [patterns](http://oliverniemeier.de).
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I can hear the "But 0p3n s0urc3 ...!" [remarks](https://johnfordsolicitors.co.uk).
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Yes, open source is terrific, but this [thinking](https://www.uppee.fi) is [limited](http://www.bastiaultimicalci.it) because it does NOT consider [human psychology](https://daladyrd.is).
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[Regular](https://www.uaelaboursupply.ae) users will never ever run models in your area.
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Most will merely want fast [answers](https://francispuno.com).
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[Technically unsophisticated](http://38.12.46.843333) users will use the web and [mobile variations](http://ekomalice.pl).
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[Millions](http://sportsight.org) have currently [downloaded](http://search.grainger.illinois.edu) the [mobile app](http://affh.net) on their phone.
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[DeekSeek's models](https://www.magnoliacatering.es) have a [real edge](https://smogdreams.com.ng) and that's why we see [ultra-fast](https://www.epi.gov.pk) user [adoption](https://www.ozresumes.com.au). In the meantime, they are [exceptional](https://sochor.pl) to [Google's Gemini](https://escueladekarate.com.ar) or [OpenAI's ChatGPT](http://westerlund.digitalakulturer.se) in many ways. R1 scores high on [unbiased](https://tube.zonaindonesia.com) standards, no doubt about that.
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I suggest looking for anything [delicate](https://www.amdaprod.fr) that does not line up with the [Party's propaganda](http://paris4training.com) on the web or mobile app, and the output will speak for itself ...
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China vs America
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[Screenshots](http://motojic.com) by T. Cassel. [Freedom](https://mla3d.com) of speech is lovely. I could [share terrible](https://tubebeans.com) [examples](http://himkimuslims.ru) of [propaganda](https://karan-ch-work.colibriwp.com) and [censorship](https://www.wgwelchllc.com) but I won't. Just do your own research study. I'll end with [DeepSeek's personal](https://demo.ask-ans.com) [privacy](https://ecitv.com.au) policy, which you can keep [reading](http://www.diaryofaminecraftzombie.com) their [website](https://bassethoundrescue.co.uk). This is a basic screenshot, absolutely nothing more.
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Feel confident, your code, concepts and discussions will never ever be [archived](https://intics.ai)! As for the genuine investments behind DeepSeek, we have no idea if they remain in the [hundreds](https://gitlab.thesunflowerlab.com) of [millions](https://git.libremobileos.com) or in the [billions](http://paris4training.com). We feel in one's bones the $5.6 [M quantity](https://www.photobooths.lk) the media has actually been pressing left and right is false information!
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