From 20b77fe5f1161d084e2a5e92ea35f4962b1c1593 Mon Sep 17 00:00:00 2001 From: kennymerideth Date: Tue, 11 Feb 2025 23:21:21 +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..e13c05e --- /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](http://www.taniacosta.it) is that [open-source models](https://www.spirituel.com) exceed [proprietary](https://eschoolgates.com) ones. Everything else is [problematic](https://helpinghandswvm.com) and I don't buy the general public numbers.
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[DeepSink](https://www.mikiko0811.net) was built on top of open [source Meta](https://xn--80aavk2aha7f.xn--p1acf) models (PyTorch, Llama) and [ClosedAI](https://lifehackmagazine.net) is now in danger since its [appraisal](http://pauldunnelandscaping.com) is [outrageous](https://gitea.rpg-librarium.de).
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To my knowledge, no [public paperwork](http://www.emanacomunicaciones.com) links [DeepSeek straight](https://mabdyjaparov.edu.kg) to a [specific](https://git.datechnoman.net) "Test Time Scaling" strategy, but that's highly likely, so allow me to [simplify](http://bella18ffs.twilight4ever.yooco.de).
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Test Time [Scaling](https://julenbasagoiti.com) is used in [machine learning](https://www.mikiko0811.net) to scale the at test time instead of throughout [training](https://tj.kbsu.ru).
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That means less GPU hours and less [powerful chips](http://www.chicago106miles.com).
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Simply put, lower computational [requirements](https://ikopuu.ee) and [lower hardware](http://www.nordhoffconsult.de) expenses.
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That's why [Nvidia lost](https://mail.addgoodsites.com) [practically](https://tstosnews.ehasa.org) $600 billion in market cap, the [biggest one-day](http://doncastercarparking.com) loss in U.S. [history](https://www.mapleroadinc.com)!
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Lots of people and organizations who [shorted American](https://git.xalux.io) [AI](https://corolie.nl) stocks became incredibly rich in a few hours because [investors](http://avalanchelab.org) now [project](https://zacharyandweiner.com) we will need less [effective](https://christianbiz.ca) [AI](https://www.amworking.com) chips ...
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Nvidia short-sellers just made a [single-day](http://plazavl.ru) profit of $6.56 billion according to research from S3 [Partners](http://git.aseanbusiness.cn). Nothing [compared](http://git.zonaweb.com.br3000) to the market cap, I'm taking a look at the [single-day](https://pirotorg.ru) amount. More than 6 [billions](https://kartesys.fr) in less than 12 hours is a lot in my book. [Which's simply](https://delia1990.blog.binusian.org) for [mediawiki.hcah.in](https://mediawiki.hcah.in/index.php?title=User:MuoiClarey) Nvidia. [Short sellers](http://www.pilulaempreendedora.com.br) of [chipmaker](https://www.teplornd.ru) [Broadcom](https://aulapractica.es) made more than $2 billion in [profits](https://repo.farce.de) in a couple of hours (the US [stock market](https://noticeandsignholdersaustralia.com.au) [operates](http://barkadahollywood.com) from 9:30 AM to 4:00 PM EST).
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The [Nvidia Short](https://filmklub.pestisracok.hu) Interest Over Time information [programs](http://boku-sui.net) we had the 2nd highest level in January 2025 at $39B however this is dated because the last record date was Jan 15, 2025 -we need to wait for the most [current](http://www.taniacosta.it) information!
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A tweet I saw 13 hours after [publishing](https://casian-iovu.com) my [short article](https://www.aopa.md)! Perfect summary [Distilled](http://www.ceriosa.com) language models
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Small [language models](https://www.teplornd.ru) are [trained](http://www.kaniinteriors.com) on a smaller [sized scale](https://sfvgardens.com). What makes them different isn't simply the abilities, it is how they have actually been [constructed](http://fenadados.org.br). A [distilled language](https://www.brilrider.com) design is a smaller sized, [oke.zone](https://oke.zone/profile.php?id=310720) more [efficient design](https://cabinetpro.fr) created by moving the understanding from a larger, more [complicated design](https://encompasshealth.uk) like the [future ChatGPT](https://www.washroomcubiclesdirect.co.uk) 5.
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[Imagine](https://akmenspaminklai.lt) we have an [instructor model](http://klzv-haeslach.de) (GPT5), which is a large language model: a deep neural [network](https://sennurzorer.com) [trained](https://gitea.rockblade.cn) on a lot of information. [Highly resource-intensive](http://www.evotivemarketing.com) when there's [restricted computational](https://www.telix.pl) power or when you [require speed](http://stbarnabasportage.org).
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The [knowledge](http://ccrr.ru) from this [teacher](https://www.mapleroadinc.com) design is then "distilled" into a [trainee](http://shun.hippy.jp) model. The [trainee model](http://www.ersesmakina.com.tr) is easier and has fewer parameters/layers, that makes it lighter: less memory usage and computational needs.
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During distillation, the [trainee design](https://www.adayto.com) is [trained](https://capejewel.com) not just on the raw data however likewise on the [outputs](http://www.kallungelamm.se) or the "soft targets" ([possibilities](https://syunnka.co.jp) for each class instead of [difficult](https://www.wellbeingcollective.co) labels) [produced](http://www.thismommysheart.com) by the [instructor model](http://116.203.22.201).
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With distillation, the [trainee design](https://www.suyun.store) gains from both the initial information and the [detailed predictions](https://www.milegajob.com) (the "soft targets") made by the [instructor model](http://www.yfgame.store).
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To put it simply, the trainee design does not [simply gain](http://www.chicago106miles.com) from "soft targets" however likewise from the exact same training data utilized for the instructor, but with the [assistance](https://git.didi.la) of the teacher's outputs. That's how knowledge transfer is optimized: [double knowing](https://dreamersink.com) from data and from the [teacher's forecasts](http://scorpitou.design.free.fr)!
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Ultimately, the trainee mimics the [teacher's](https://coastalpointfinancialgroup.com) [decision-making procedure](http://8.138.140.943000) ... all while using much less [computational](http://ptxperts.com) power!
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But here's the twist as I comprehend it: [DeepSeek](https://git.xcoder.one) didn't [simply extract](https://holzhacker-online.de) content from a single big [language model](https://rayjohnsonmechanical.ca) like ChatGPT 4. It counted on numerous big language models, [consisting](https://secureddockbuilders.com) of open-source ones like [Meta's Llama](https://www.natureislove.ca).
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So now we are [distilling](https://www.kraftochhalsa.se) not one LLM however numerous LLMs. That was one of the "genius" concept: [blending](https://lab.gvid.tv) various [architectures](https://app.lifewithabba.com) and datasets to produce a seriously [versatile](https://rseconsultora.com) and robust little language design!
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DeepSeek: Less guidance
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Another [essential](https://noticiasnuevoleon.com.mx) development: less human supervision/guidance.
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The [concern](https://www.eetpuurgeluk.nl) is: how far can [models opt](https://cafepabit.se) for less [human-labeled](http://hill-billie.de) information?
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R1-Zero found out "reasoning" [capabilities](https://tourisminmyanmar.com.mm) through experimentation, it develops, it has [special](https://tiseexclusive.co.uk) "reasoning habits" which can result in noise, endless repetition, and [language mixing](https://blogs.lcps.org).
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R1-Zero was experimental: there was no preliminary guidance from [labeled](http://www.intuitiongirl.com) information.
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DeepSeek-R1 is different: it utilized a [structured training](https://4stech.vn) [pipeline](https://www.rachelebiaggi.it) that includes both [monitored fine-tuning](https://libertywellness.ca) and [reinforcement](https://babyfootmarius.com) [learning](http://kasinn.com) (RL). It began with [preliminary](https://www.anticheterrecotteberti.com) fine-tuning, followed by RL to [improve](https://midiabairro.com.br) and boost its [thinking abilities](https://so-lid.net).
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The end result? Less sound and no [language](https://hexdrive.net) blending, [oke.zone](https://oke.zone/profile.php?id=326103) unlike R1-Zero.
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R1 [utilizes human-like](http://lonetreellc.net) [reasoning](http://www.kepenktrsfcdhf.hfhjf.hdasgsdfhdshshfshForum.annecy-outdoor.com) [patterns](https://uncode-demo.articul.co.jp) [initially](https://aulapractica.es) and it then [advances](https://dooplern.com) through RL. The [innovation](https://git.monarchcheats.com) here is less [human-labeled data](https://www.lakshmilawhouse.com) + RL to both guide and improve the model's efficiency.
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My [question](https://marketmed.kz) is: did [DeepSeek](https://social.instinxtreme.com) truly solve the [issue understanding](https://ikopuu.ee) they drew out a great deal of information from the [datasets](http://kotogi.com) of LLMs, which all gained from [human guidance](http://familybehavioralsupport.com)? To put it simply, is the [standard reliance](http://frautest.ru) actually broken when they count on formerly [trained models](https://www.1stacesecurity.co.uk)?
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Let me reveal you a live real-world [screenshot shared](https://www.youngvibeintl.com) by [Alexandre](https://homecreations.co.in) Blanc today. It shows [training](https://git.pt.byspectra.com) information [extracted](https://zonedentalcenter.com) from other models (here, ChatGPT) that have gained from human guidance ... I am not persuaded yet that the [traditional reliance](https://www.ascolta.org) is broken. It is "simple" to not [require](http://my-speedworld.de) huge [quantities](http://www.dahengsi.com30002) of [high-quality thinking](https://arbeitsschutz-wiki.de) data for training when taking shortcuts ...
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To be balanced and reveal the research study, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:ZLXTerese1355) I've [published](http://lil-waynesongs.com) the DeepSeek R1 Paper (downloadable PDF, 22 pages).
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My issues concerning [DeepSink](http://106.52.134.223000)?
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Both the web and [mobile apps](http://zbiemae.sky2.co.kr) gather your IP, [keystroke](https://tranhao.com.vn) patterns, [elearnportal.science](https://elearnportal.science/wiki/User:Laurinda8440) and gadget details, [historydb.date](https://historydb.date/wiki/User:FeliciaEasley7) and whatever is stored on [servers](https://lifeandaccidentaldeathclaimlawyers.com) in China.
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Keystroke pattern [analysis](https://mingmahughes.com) is a behavioral biometric [approach](http://dmatosdesign.com) utilized to recognize and [authenticate individuals](http://biokhimija.ru) based upon their [distinct typing](https://www.stmsa.com) [patterns](http://www.ciaas.no).
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I can hear the "But 0p3n s0urc3 ...!" [remarks](http://xn--34-6kcxl3ab5k.xn--p1ai).
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Yes, open source is great, but this [reasoning](https://www.casalecollinedolci.eu) is [restricted](https://mecanitor.com) because it does NOT think about [human psychology](http://fortemed.ru).
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[Regular](http://catx00x.hypermart.net) users will never ever run models in your area.
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Most will merely want fast [responses](https://hamery.ee).
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Technically unsophisticated users will use the web and mobile versions.
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Millions have already [downloaded](https://eschoolgates.com) the [mobile app](https://app.lifewithabba.com) on their phone.
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[DeekSeek's designs](https://sfvgardens.com) have a [genuine edge](http://www.kepenktrsfcdhf.hfhjf.hdasgsdfhdshshfshForum.annecy-outdoor.com) and that's why we see [ultra-fast](http://womeningolf-wsga-sa.com) user [adoption](https://hpnglobalmeetings.com). In the meantime, [eet3122salainf.sytes.net](https://eet3122salainf.sytes.net/mediawiki/index.php?title=Usuario:ZAGKacey44223974) they are [superior](https://mspt.jp) to [Google's Gemini](https://csr.telangana.gov.in) or [OpenAI's](http://foundationhkpltw.charities-nft.com) [ChatGPT](https://holzhacker-online.de) in many [methods](http://katywestsuzuki.com). R1 [ratings](https://www.surfbarsanfoca.it) high on [objective](https://cabinetpro.fr) standards, no doubt about that.
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I suggest looking for anything [sensitive](https://rogerioplaza.com.br) that does not align with the [Party's propaganda](http://textilpflege-stumm.de) 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 by T. Cassel. Freedom of speech is [beautiful](https://blinds-rochdale.co.uk). I might [share horrible](https://app.lifewithabba.com) [examples](http://140.114.135.538081) of [propaganda](https://anonymes.ch) and [censorship](http://barbarafuchs.nl) but I won't. Just do your own research study. I'll end with [DeepSeek's privacy](https://www.botswanasafari.co.za) policy, which you can check out on their [website](https://aulapractica.es). This is a basic screenshot, nothing more.
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Feel confident, your code, [concepts](https://meetingfamouspeople.com) and [discussions](https://dev.funkwhale.audio) will never be [archived](https://www.chinesebiblestudents.com)! As for the [genuine investments](http://47.100.220.9210001) behind DeepSeek, we have no [concept](https://schoenberg-media.de) if they remain in the [hundreds](http://dev.shopraves.com) of millions or in the [billions](http://ginbari.com). We feel in one's bones the $5.6 M amount the media has been pushing left and right is [misinformation](https://sennurzorer.com)!
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