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Since Chinese AI company DeepSeekreleased an opened reading of its logical thinking framework R1at the beginning of this week , many in the tech manufacture have been making grand pronouncements about what the company accomplish , and what it signify for the DoS of AI .
Venture capitalist Marc Andreessen , for example , postedthat DeepSeek is “ one of the most awesome and impressive breakthroughs I ’ve ever seen . ”
R1 on the face of it matches or beats OpenAI ’s o1 mannikin on sealed AI benchmarks . And the companionship claims one of its modelsonly monetary value $ 5.6 millionto train , compared to the one C of millions of dollar that leading American companies pay to train theirs .
It also seems to have achieved that in the brass of U.S. sanctions that prohibit the cut-rate sale of advanced chips to Formosan companies . The MIT Technology Review writesthat the company ’s success illustrate how sanctions are “ drive inauguration like DeepSeek to introduce in ways that prioritise efficiency , resource - pooling , and quislingism . ” ( On the other script , The Wall Street Journal reportsthat DeepSeek ’s Liang Wenfeng recently secernate China ’s Prime Minister that American export restriction still flummox a bottleneck . )
Curai CEO Neal Khoslaoffered a dewy-eyed explanation , claiming that the caller is a “ ccp state psyop ” that ’s “ faking the cost was low to justify setting price miserable and hoping everyone change to it [ to ] damage AI competitiveness in the us . ” ( A Community Note has been attached to his office pointing out that Khosla offers no evidence for this , and that his founding father Vinod is an OpenAI investor . )
Meanwhile , diary keeper Holger Zschaepitz suggestedDeepSeek “ could represent the biggest menace to US fairness markets ” — if a Formosan party can build a cut - edge simulation at low-spirited price , without access to in advance chips , it would call into question “ the utility of the C of billions deserving of capex being poured into this diligence . ”
In response , Y Combinator CEO Garry Tan arguedDeepSeek ’s success would actually be good for its American rival . “ If preparation models get cheaper faster and easier , ” he write on X , “ the requirement for illation ( actual real man use of AI ) will grow and quicken even faster , which assures the supply of compute will be used . ”
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And Meta ’s Chief AI Scientist Yann LeCunargued againstlooking at DeepSeek ’s promulgation through the lens of China versus the United States . Instead , he suggested the real lesson is that “ open source model are surpassing proprietary I . ”
“ DeepSeek has turn a profit from open research and open source ( e.g. PyTorch and Llama from Meta ) , ” LeCun write on LinkedIn this workweek . “ They make out up with new melodic theme and built them on top of other people ’s work . Because their work is published and undefended beginning , everyone can turn a profit from it . ”
All of the debate seems to be driving consumer to assay the product . As of Sunday afternoon , DeepSeek ’s AI assistantis the top free app in the Apple App Store , just beforehand of ChatGPT .
