“这一切都很糟糕,我希望这一切都没有发生。这是一个非常悲伤的日子!但我想澄清一点:我们将比以往任何时候都更加努力地继续为开源 AI 而战。现在放缓脚步太重要了,不能这样做。加油!”,Delangue 在 X 上写道。
据路透社 10 月报道,在英伟达宣布收购 Hugging Face 的计划后,美国司法部开始调查该交易将如何影响 AI 市场的竞争。虽然英伟达承诺该平台将保留对开源的支持,但它也将使该公司能够控制一个主要的 AI 模型分发渠道。
Hugging Face 的交易仍计划在 2027 年上半年完成。对于进一步评论该交易的状况以及 Hugging Face 是否已与英伟达临时首席执行官 Colette Kress 进行过沟通的请求,未得到回复。
黄仁勋对开源和开放权重 AI 的支持早已超越 Hugging Face。今年 7 月,这位首席执行官发布了他的第一封 AI 政策信,这也是他在社交网络 X 上的第一篇 帖子。这封信由包括微软、Meta、Hugging Face、IBM、Palantir 等在内的 25 家公司签署,敦促美国政府不要过度限制开放权重的 AI 模型。信中称,那些“任何人都可以下载、检查、修改并在自己的基础设施上运行”的模型是 AI 生态系统的重要组成部分,因为它们使 AI “更易获取、更具适应性且更广泛可用”。
黄仁勋还写道,开放权重模型扩大了 AI 经济的准入范围,加强了竞争,并赋予客户更大的控制权,因为他们知道自己不会锁定在单一供应商身上。“开放模型加强了安全性和网络安全,加速了创新和扩散,并实现了主权”,他在 X 上的帖子中表示。
今年 8 月,英伟达还宣布与编程初创公司 Poolside 达成一项价值 60 亿美元的交易,以帮助在美国建立开放的 AI 生态系统,帮助该国与中国公司 DeepSeek 和 Kimi K3 等竞争,《华尔街日报》当时报道。上个月,英伟达 扩展了其 Nemotron 系列开放权重模型,推出了一个用于企业代理的大型 1200 亿参数模型,以及两个可在 PC 上运行的轻量级 Bolt 模型。
Sarah 自 2011 年 8 月起一直在 TechCrunch 担任记者。她在加入该公司之前,曾在 ReadWriteWeb 工作过三年多。在她从事记者工作之前,Sarah 曾在多个行业从事 IT 工作,包括银行、零售和软件行业。
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Hugging Face CEO Clément Delangue briefly commented on Nvidia CEO Jensen Huang’s departure on Thursday, calling it a “really sad day.” Nvidia had announced its plan to acquire the platform for open source AI models in September for $12.9 billion, making it the second-largest acquisition in the company’s history, just behind that of chipmaker Groq’s assets for $20 billion in December 2025.
“This whole thing sucks, and I wish none of it had happened. It’s a really sad day! But I want to make one thing clear: we’ll keep fighting for open-source AI, harder than ever. This is too important to slow down now. Let’s go!,” Delangue wrote on X.
This whole thing sucks, and I wish none of it had happened. It’s a really sad day!
But I want to make one thing clear: we’ll keep fighting for open-source AI, harder than ever. This is too important to slow down now. Let’s go!
— clem 🤗 (@ClementDelangue) November 12, 2026
The post is interesting as it implies that Huang’s departure is potentially worrying to open source advocates, and he’s attempting to offer reassurance.
As Nvidia’s CEO, Huang was known as a strong advocate for open source AI and open-weight models, which is why there could be concerns about how a company that’s no longer under his leadership will now approach this space.
After Nvidia announced its plans to acquire Hugging Face, the U.S. Department of Justice began making inquiries about how the deal would impact competition in the AI market, Reuters reported in October. While Nvidia pledged that the platform would preserve open support, it would also allow the company to control a major distribution channel for AI models.
The Hugging Face deal is still scheduled to close in the first half of 2027. Requests for further comment on the deal status and whether Hugging Face has spoken yet with Nvidia’s interim CEO Colette Kress were not returned.
Huang’s advocacy for open source and open-weight AI has long extended beyond Hugging Face. In July, the CEO published an AI policy letter as his first-ever post on the social network X. The letter, which was signed by 25 companies, including Microsoft, Meta, Hugging Face, IBM, Palantir, and others, urged the U.S. government not to over-restrict open-weight AI models. It said models that “anyone can download, inspect, modify, and run on their own infrastructure” are an important part of the AI ecosystem because they make AI “more accessible, adaptable, and widely available.”
Huang also wrote that open-weight models expand access to the AI economy, strengthen competition, and give customers greater control, as they know they won’t become locked into a single provider. “Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty,” his post on X stated.
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.… pic.twitter.com/t02bi51N4C
— Jensen Huang (@JensenHuang) July 24, 2026
In August, Nvidia also announced a $6 billion deal with the coding startup Poolside to help build out an open AI ecosystem in the U.S. to help the country compete against Chinese companies like DeepSeek and Kimi K3, The Wall Street Journal reported at the time. Last month, Nvidia expanded its Nemotron family of open-weight models with a large 120-billion-parameter model for agents used by the enterprise as well as with two new lightweight Bolt models that run on PCs.
Earlier this year, Huang promoted open source AI during his January keynote address at the Consumer Electronics Show in Las Vegas, noting that open source models have “really revolutionized artificial intelligence.”
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Sarah has worked as a reporter for TechCrunch since August 2011. She joined the company after having previously spent over three years at ReadWriteWeb. Prior to her work as a reporter, Sarah worked in I.T. across a number of industries, including banking, retail and software.
You can contact or verify outreach from Sarah by emailing [email protected] or via encrypted message at sarahperez.01 on Signal.
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