DeepSeek\u2019s success injected confidence into an industry long used to following global standards rather than setting them. \u201cThirty years ago, no Chinese person would believe they could be at the center of global innovation,\u201d says Alex Chenglin Wu, CEO and founder of Atoms, an AI agent company and prominent contributor to China\u2019s open-source ecosystem. \u201cDeepSeek shows that with solid technical talent, a supportive environment, and the right organizational culture, it\u2019s possible to do truly world-class work.\u201d<\/p>\n
DeepSeek\u2019s breakout moment wasn\u2019t China\u2019s first open-source success. Alibaba\u2019s Qwen Lab had been releasing open-weight models for years. By September 2024,\u00a0 well before DeepSeek\u2019s V3 launch, Alibaba was saying that global downloads had exceeded 600 million. On Hugging Face, Qwen accounted for more than 30% of all model downloads in 2024. Other institutions, including the Beijing Academy of Artificial Intelligence and the AI firm Baichuan, were also releasing open models as early as 2023.\u00a0<\/p>\n
But since the success of DeepSeek, the field has widened rapidly. Companies such as Z.ai (formerly Zhipu), MiniMax, Tencent, and a growing number of smaller labs have released models that are competitive on reasoning, coding, and agent-style tasks. The growing number of capable models has sped up progress. Capabilities that once took months to make it to the open-source world now emerge within weeks, even days.<\/p>\n
\u201cChinese AI firms have seen real gains from the open-source playbook,\u201d says Liu Zhiyuan, a professor of computer science at Tsinghua University and chief scientist at the AI startup ModelBest. \u201cBy releasing strong research, they build reputation and gain free publicity.\u201d<\/p>\n
Beyond commercial incentives, Liu says, open source has taken on cultural and strategic weight. \u201cIn the Chinese programmer community, open source has become politically correct,\u201d he says, framing it as a response to US dominance in proprietary AI systems.<\/p>\n
That shift is also reflected at the institutional level. Universities including Tsinghua have begun encouraging AI development and open-source contributions, while policymakers have moved to formalize those incentives. In August, China\u2019s State Council released a draft policy encouraging universities to reward open-source work, proposing that students\u2019 contributions on platforms such as GitHub or Gitee could eventually be counted toward academic credit.<\/p>\n
With growing momentum and a reinforcing feedback loop, China\u2019s push for open-source models is likely to continue in the near term, though its long-term sustainability still hinges on financial results, says Tiezhen Wang, who helps lead work on global AI at Hugging Face. In January, the model labs Z.ai and MiniMax went public in Hong Kong. \u201cRight now, the focus is on making the cake bigger,\u201d says Wang. \u201cThe next challenge is figuring out how each company secures its share.\u201d<\/p>\n
The next wave of models will be narrower\u2014and better <\/p>\n
Chinese open-source models are leading not just in download volume but also in variety. Alibaba\u2019s Qwen has become one of the most diversified open model families in circulation, offering a wide range of variants optimized for different uses. The lineup ranges from lightweight models that can run on a single laptop to large, multi-hundred-billion-parameter systems designed for data-center deployment. Qwen features many task-optimized variants created by the community: the \u201cinstruct\u201d models are good at following orders, and \u201ccode\u201d variants specialize in coding.<\/p>\n","protected":false},"excerpt":{"rendered":"DeepSeek\u2019s success injected confidence into an industry long used to following global standards rather than setting them. \u201cThirty…\n","protected":false},"author":2,"featured_media":280666,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[365,363,364,157188,157189,111,139,69,145],"class_list":{"0":"post-280665","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-chinese-open-models-are-spreading-fast","12":"tag-from-hugging-face-to-silicon-valley-heres-why-that-matters","13":"tag-new-zealand","14":"tag-newzealand","15":"tag-nz","16":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/280665","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=280665"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/280665\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/280666"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=280665"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=280665"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=280665"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}