{"id":237705,"date":"2025-12-17T16:00:18","date_gmt":"2025-12-17T16:00:18","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/237705\/"},"modified":"2025-12-17T16:00:18","modified_gmt":"2025-12-17T16:00:18","slug":"chinas-open-source-ai-models-rival-us-giants-making-engagement-urgent-stanford","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/237705\/","title":{"rendered":"China\u2019s open-source AI models rival US giants, making engagement urgent: Stanford"},"content":{"rendered":"<p datatype=\"p\" data-qa=\"Component-Component\" class=\"e8zc9q40 css-1c6uqr6 ec74h0k1\">China\u2019s open-source artificial intelligence models may have caught up or \u201ceven pulled ahead\u201d of their US counterparts in capabilities and adoption, a Stanford University report has found.<\/p>\n<p datatype=\"p\" data-qa=\"Component-Component\" class=\"e8zc9q40 css-1c6uqr6 ec74h0k1\">The country\u2019s status as a leading AI power meant that US firms should not avoid \u201cselective engagement\u201d with Chinese AI labs, academics and policymakers, given the wide range of AI governance and safety challenges Chinese players faced, according to the report published on Tuesday.<\/p>\n<p datatype=\"p\" data-qa=\"Component-Component\" class=\"e8zc9q40 css-1c6uqr6 ec74h0k1\">The report was prepared by Stanford University\u2019s DigiChina Project, housed under the university\u2019s Center for International Security and Cooperation, and its Institute for Human-Centered Artificial Intelligence, which compiles the influential annual AI Index report.<\/p>\n<p datatype=\"p\" data-qa=\"Component-Component\" class=\"e8zc9q40 css-1c6uqr6 ec74h0k1\">\u201cToday, Chinese-made open-weight models are unavoidable in the global competitive AI landscape,\u201d the report said. \u201cThere is space for academic collaboration with Chinese counterparts to increase our understanding of the risks of open-weight AI models and the efficacy of various guardrails.\u201d<\/p>\n<p><img decoding=\"async\" alt=\"Chinese developers like DeepSeek are increasing the permissiveness of the licensing terms of their open models to give end-users even more flexibility in how they use their models. Photo: AP\" data-qa=\"BaseImage-handleRenderImage-StyledImage\" class=\"e1gf69pb2 css-6ikqhs e445x7d0\" loading=\"lazy\" src=\"https:\/\/www.europesays.com\/ie\/wp-content\/uploads\/2025\/12\/ee3c56ba-fb83-4c4a-a20d-2924b800dce8_32afda76.jpg\" title=\"Chinese developers like DeepSeek are increasing the permissiveness of the licensing terms of their open models to give end-users even more flexibility in how they use their models. Photo: AP\"\/>Chinese developers like DeepSeek are increasing the permissiveness of the licensing terms of their open models to give end-users even more flexibility in how they use their models. Photo: AP<\/p>\n<p datatype=\"p\" data-qa=\"Component-Component\" class=\"e8zc9q40 css-1c6uqr6 ec74h0k1\">While Chinese AI developers are largely pursuing an open-source approach, releasing the weights of their models for end-users to freely deploy and modify, US tech giants such as OpenAI and Google DeepMind have kept their leading models as proprietary software.<\/p>\n<p datatype=\"p\" data-qa=\"Component-Component\" class=\"e8zc9q40 css-1c6uqr6 ec74h0k1\">Citing leading industry benchmarks, the report noted that Chinese open models now performed at \u201cnear state-of-the-art levels\u201d, leading the world in the open-source landscape and barely trailing leading closed US models.<\/p>\n","protected":false},"excerpt":{"rendered":"China\u2019s open-source artificial intelligence models may have caught up or \u201ceven pulled ahead\u201d of their US counterparts in&hellip;\n","protected":false},"author":2,"featured_media":237706,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[261],"tags":[291,748,125793,24532,19024,289,290,1793,125794,381,125795,19401,125796,8736,125797,18,20321,2422,19,17,307,2634,82,107],"class_list":{"0":"post-237705","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-ai-governance","10":"tag-ai-index-report","11":"tag-alibaba-cloud","12":"tag-alibaba-group-holding","13":"tag-artificial-intelligence","14":"tag-artificialintelligence","15":"tag-beijing","16":"tag-center-for-international-security-and-cooperation","17":"tag-china","18":"tag-chinese-ai-labs","19":"tag-chinese-government","20":"tag-concordia-ai","21":"tag-deepseek","22":"tag-digichina-project","23":"tag-eire","24":"tag-google-deepmind","25":"tag-hangzhou","26":"tag-ie","27":"tag-ireland","28":"tag-openai","29":"tag-stanford-university","30":"tag-technology","31":"tag-us"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@ie\/115735745454246468","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/237705","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/comments?post=237705"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/237705\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media\/237706"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media?parent=237705"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/categories?post=237705"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/tags?post=237705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}