Moonshot 称其虽仍落后于 Claude Fable 5 和 GPT 5.6 Sol,但在评测中持续优于其他测试模型,Arena.ai 和 Vals AI 的独立分析也表明 Kimi 可与前沿旗舰模型竞争。 该消息引发美国科技界对开源 AI 安全及中美竞争的新一轮争论。
中国公司 Moonshot AI 本周发布了其 Kimi 模型的新版本,这引发了关于中国与开源 AI 的几乎不可避免的讨论浪潮。
Moonshot 表示:https://www.kimi.com/blog/kimi-k3 虽然 Kimi K3 “仍然落后于最强大的专有模型 Claude Fable 5 和 GPT 5.6 Sol”,但这个新的开源模型“在我们的评估套件中展现了前沿水平的性能,持续超越其他测试模型。”Arena.ai:https://x.com/arena/status/2077824029126504525?s=20 和 Vals AI:https://www.nytimes.com/2026/07/17/business/china-ai-moonshot-kimi.html?unlocked_article_code=1.yVA.jPyG.wxadMpmtP-7L&smid=nytcore-ios-share 的独立分析也表明,Kimi 在与旗舰前沿模型的竞争中具有竞争力。
这一公告正值中国国家主席习近平:https://www.nytimes.com/2026/07/17/business/xi-jinping-china-ai.html 在上海世界人工智能大会上的演讲期间,似乎令华尔街感到担忧,纳斯达克在周五下跌约 1%:https://www.nytimes.com/2026/07/17/business/china-ai-moonshot-kimi.html,投资者抛售了 NVIDIA 等芯片公司的股票。
许多科技行业人士随之发表的帖子,对那些还记得 2025 年 1 月另一家中国公司 DeepSeek 发布其开源 R1 模型后的辩论的人来说,将听起来很熟悉:https://techcrunch.com/2025/01/26/deepseek-gets-silicon-valley-talking/。只是现在,在特朗普政府与中国的关税战:https://techcrunch.com/2025/11/02/china-is-rolling-back-rare-earth-mineral-restrictions-white-house-saus/、关于 Anthropic 所谓国家安全威胁的反复争论:https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/,以及主要 AI 公司准备最终上市的背景下:https://techcrunch.com/2026/06/08/following-anthropic-openai-files-confidentially-for-ipo/,一切似乎进一步升级。
例如,David Sacks——特朗普政府的前人工智能沙皇,现在是总统科技顾问委员会的联合主席——将Kimi的进展:https://x.com/DavidSacks/status/2078092271296143593 与美国进行了对比,美国“自缠自绕:政客和官僚禁止新的数据中心,增加州级法规,并推动新的联邦机构预先批准前沿模型。这就是你输掉人工智能竞赛的方式。”(这则新闻也给了他一个机会去讽刺:https://x.com/DavidSacks/status/2078462275497988199 Anthropic,将Claude称为“觉醒的脑死亡模型”的例子,是“美国竞争力的敌人”。)
而前优步CEO Travis Kalanick 也呼应了类似抱怨:https://x.com/travisk/status/2078500472437043337?s=46&t=dDcpMIMYg6fdPePSTT9k6w,说中国人在“蒸馏”(即被训练于:https://techcrunch.com/2026/07/04/alibaba-reportedly-bans-employees-from-using-claude-code/ 美国人工智能模型的输出)。
“如果不强制禁止蒸馏,那么每个人都应该能从别人那里蒸馏……否则美国模型的一只手就会被绑在背后,”Kalanick 写道。(当然,美国模型也建立在中国模型之上,具体是 Kimi:https://techcrunch.com/2026/03/22/cursor-admits-its-new-coding-model-was-built-on-top-of-moonshot-ais-kimi/。)
与此同时,OpenAI 战略未来负责人 Dean Ball 表示:https://x.com/deanwball/status/2078133895766114412 Kimi 是“一个非常好的模型”,其表现可能“不能用蒸馏或类似的东西来解释”,并补充说他“个人很惊讶中国国家继续允许如此优秀的模型开源,考虑到潜在风险”。
事实上,Ball 表示,“一个开权重模型占主导的世界的可能结果是完全的人工智能共产主义”,在这个世界里,人工智能被视为“一种‘公共产品’,最终将由国家作为一种‘数字公共基础设施’提供。”
“这个未来让我觉得像一个反乌托邦的地狱景象,但我从未见过一个开放权重模型的倡导者最终不承认事情会走到这个地步,”Ball说。他甚至建议特朗普政府(他曾为其工作:https://www.politico.com/news/2026/06/18/openai-hires-former-trump-ai-official-dean-ball-00967118)最终会意识到需要“围绕使用开放权重的中国模型制造大量监管风险。”
“你不需要‘禁止开源’(这是AI政策讨论中最愚蠢的主题之一),”Ball说。“你只需要指示每个机构发布软法,制造FUD[恐惧、不确定和怀疑]。‘联邦储备咨询公告发现中国AI模型可能存在后门。’ 不需要完全有依据。你只需制造足够的监管风险,让每个受监管的企业退缩。”
然而,专注于AI的出版物Transformer的编辑Shakeel Hashim认为大部分担忧被夸大了:https://www.transformernews.ai/p/kimi-k3-is-no-reason-for-china-panic-export-controls-xi-jingping,这既因为Kimi“可能没有危险的网络能力”,也因为一旦中国开发出这些能力,中国政府将面临“极为相似的限制开放中国模型的动机”。
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Anthony Ha是TechCrunch的周末编辑。此前,他曾在Adweek担任科技记者,在VentureBeat担任高级编辑,在Hollister Free Lance担任地方政府记者,以及在一家风投公司担任内容副总裁。他居住在纽约市。
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特斯拉司机在德克萨斯州致命车祸中踩下油门至100%,NTSB证实:https://techcrunch.com/2026/07/15/tesla-driver-in-fatal-texas-crash-pressed-accelerator-100-ntsb-confirms/ Sean O'Kane:https://techcrunch.com/author/sean-okane/
在硬件法律争议中,OpenAI发布售价230美元的Codex键盘:https://techcrunch.com/2026/07/15/amid-hardware-legal-battle-openai-releases-a-230-keyboard-for-codex/ Lucas Ropek:https://techcrunch.com/author/lucas-ropek/
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萨蒂亚·纳德拉对使用AI的公司发出了令人震惊的警告:https://techcrunch.com/2026/07/13/satya-nadella-has-issued-a-shocking-warning-to-companies-using-ai/ Julie Bort:https://techcrunch.com/author/julie-bort/
苹果针对OpenAI的商业秘密诉讼中最疯狂的指控:https://techcrunch.com/2026/07/13/the-wildest-allegations-in-apples-trade-secrets-lawsuit-against-openai/ Sarah Perez:https://techcrunch.com/author/sarah-perez/
Anthropic开始为印度本地化Claude定价,印度是其继美国之后的最大市场:https://techcrunch.com/2026/07/13/anthropic-starts-localizing-claude-pricing-for-india-its-biggest-market-after-the-us/ Jagmeet Singh:https://techcrunch.com/author/jagmeet-singh/
Chinese company Moonshot AI released a new version of its Kimi model this week, leading to a perhaps-inevitable wave of discourse about China and open source AI.
Moonshot said:https://www.kimi.com/blog/kimi-k3 that although Kimi K3 “still trails the most powerful proprietary models, Claude Fable 5 and GPT 5.6 Sol,” the new open source model “demonstrated frontier-level performance across our evaluation suite, consistently outperforming other tested models.” Independent analyses from Arena.ai:https://x.com/arena/status/2077824029126504525?s=20 and Vals AI:https://www.nytimes.com/2026/07/17/business/china-ai-moonshot-kimi.html?unlocked_article_code=1.yVA.jPyG.wxadMpmtP-7L&smid=nytcore-ios-share also suggested that Kimi is competitive with flagship frontier models.
The announcement, which coincided with a speech from Chinese president Xi Jinping:https://www.nytimes.com/2026/07/17/business/xi-jinping-china-ai.html at the World AI Conference in Shanghai, seems to have spooked Wall Street, with the Nasdaq dropping about 1%:https://www.nytimes.com/2026/07/17/business/china-ai-moonshot-kimi.html on Friday as investors sold off stocks in chip companies like Nvidia.
Many of the resulting posts from tech industry figures will sound familiar to those who remember the debate after another Chinese company, DeepSeek, released its open source R1 model in January 2025:https://techcrunch.com/2025/01/26/deepseek-gets-silicon-valley-talking/. Except now, everything seems heightened after the Trump administration’s tariff war with China:https://techcrunch.com/2025/11/02/china-is-rolling-back-rare-earth-mineral-restrictions-white-house-saus/, repeated fights over the national security threat supposedly posed by Anthropic:https://techcrunch.com/2026/06/12/anthropics-safety-warnings-may-have-just-backfired-the-government-has-pulled-the-plug-on-its-most-powerful-ai/, and as major AI companies prepare to finally go public:https://techcrunch.com/2026/06/08/following-anthropic-openai-files-confidentially-for-ipo/.
For example, David Sacks — the Trump administration’s former AI czar and now co-chair of the President’s Council of Advisors on Science and Technology — contrasted Kimi’s progress:https://x.com/DavidSacks/status/2078092271296143593 with a United States that is “tying itself in knots: politicians and bureaucrats are banning new data centers, piling on state regulations, and pushing for new federal agencies to pre-approve frontier models. This is how you lose the AI race.” (The news also gave him an excuse to take a dig:https://x.com/DavidSacks/status/2078462275497988199 at Anthropic, calling Claude an example of “woke lobotomized models” that are “the enemy American competitiveness.”)
And former Uber CEO Travis Kalanick echoed complaints:https://x.com/travisk/status/2078500472437043337?s=46&t=dDcpMIMYg6fdPePSTT9k6w that Chinese are “distilling off” (i.e., being trained on the outputs of:https://techcrunch.com/2026/07/04/alibaba-reportedly-bans-employees-from-using-claude-code/) American AI models.
“If distillation isn’t enforced against, then everyone should be able to distill from everyone else.. otherwise one arm [would be] tied behind American models’ backs,” Kalanick wrote. (Of course, American models have also been built on top of Chinese ones, specifically Kimi:https://techcrunch.com/2026/03/22/cursor-admits-its-new-coding-model-was-built-on-top-of-moonshot-ais-kimi/.)
Meanwhile, OpenAI’s head of strategic futures Dean Ball said:https://x.com/deanwball/status/2078133895766114412 that Kimi is “a very good model” whose performance probably can’t be “explained away by distillation or anything like that,” adding that he’s “personally surprised the Chinese state continues to allow the open sourcing of models this good, given potential risks.”
In fact, Ball suggested that “probable outcome of an open-weight-model-dominant world is full AI communism,” where AI is treated as “a ‘public good’ which will ultimately be provided by the state as a kind of ‘digital public infrastructure.’”
“This future strikes me as a dystopian hellscape, but I’ve never met an open-weight models advocate who doesn’t ultimately concede this is where things end,” said Ball. He even suggested that the Trump administration (which he used to work for:https://www.politico.com/news/2026/06/18/openai-hires-former-trump-ai-official-dean-ball-00967118) will eventually realize it needs to “create large amounts of regulatory risk around the use of open-weight Chinese models.”
“You don’t need to ‘ban open source’ (one of the dumber motifs of AI policy discussion),” Ball said. “You just need to direct every agency to issue soft law that creates FUD [fear, uncertainty, and doubt]. ‘A Federal Reserve Advisory Bulletin found that there may be backdoors in Chinese AI models.’ It needn’t be that well justified. You just create enough regulatory risk that every regulated enterprise backs off.”
However, Shakeel Hashim, editor of the AI-focused publication Transformer, argued that much of the worry is overblown:https://www.transformernews.ai/p/kimi-k3-is-no-reason-for-china-panic-export-controls-xi-jingping, both because Kimi “likely does not have dangerous cyber capabilities,” and because the Chinese government will face “extremely similar incentives” to restrict open Chinese models once they develop those capabilities.
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Anthony Ha is TechCrunch’s weekend editor. Previously, he worked as a tech reporter at Adweek, a senior editor at VentureBeat, a local government reporter at the Hollister Free Lance, and vice president of content at a VC firm. He lives in New York City.
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