{"id":12617,"date":"2025-01-26T13:23:11","date_gmt":"2025-01-26T04:23:11","guid":{"rendered":"http:\/\/www.irken.jp\/gn\/?p=12617"},"modified":"2025-01-27T13:23:50","modified_gmt":"2025-01-27T04:23:50","slug":"financial-times-january-25-4","status":"publish","type":"post","link":"https:\/\/www.irken.jp\/gn\/?p=12617","title":{"rendered":"Financial Times (January 25)"},"content":{"rendered":"<p>\u201cA small Chinese artificial intelligence lab stunned the world this week by revealing the technical recipe for its cutting-edge model, turning its reclusive leader into a national hero who has defied US attempts to stop China\u2019s high-tech ambitions.\u201d DeepSeek claims to have \u201cused just 2,048 Nvidia H800s and $5.6mn to train a model with 671bn parameters, a fraction of what OpenAI and Google spent to train comparably sized models.\u201d The release of DeepSeek\u2019s R1 model \u201chas Silicon Valley on the defensive, raising doubts \u201cabout whether better resourced US AI companies, including Meta and Anthropic, can defend their technical edge.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cA small Chinese artificial intelligence lab stunned the world this week by revealing the technical recipe for its cutting-edge model, turning its reclusive leader into a national hero who has defied US attempts to stop China\u2019s high-tech ambitions.\u201d DeepSeek claims to have \u201cused just 2,048 Nvidia H800s and $5.6mn to train a model with 671bn [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[4729,16138,6,8764,16135,6590,2697,2896,13166,15440,14732,16137,2029,12764,16136,8],"class_list":["post-12617","post","type-post","status-publish","format-standard","hentry","category-global-news","tag-ai","tag-anthropic","tag-china","tag-cutting-edge","tag-deepseek","tag-defensive","tag-google","tag-high-tech","tag-meta","tag-nvidia","tag-openai","tag-r1-model","tag-silicon-valley","tag-stunned","tag-technical-recipe","tag-u-s"],"_links":{"self":[{"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=\/wp\/v2\/posts\/12617","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12617"}],"version-history":[{"count":1,"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=\/wp\/v2\/posts\/12617\/revisions"}],"predecessor-version":[{"id":12618,"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=\/wp\/v2\/posts\/12617\/revisions\/12618"}],"wp:attachment":[{"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12617"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12617"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.irken.jp\/gn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12617"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}