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外媒:月之暗面或借英伟达Blackwell芯片训练Kimi模型,美国出口管制有效性再受质疑

BlockBeats 消息,7 月 30 日,据 The Information 援引知情人士报道,月之暗面(Moonshot AI)正寻求获得更多英伟达 Blackwell AI 芯片,用于训练下一代 Kimi K4 模型。报道称,月之暗面此前训练 Kimi K3 时也使用了英伟达芯片,尽管美国出口管制禁止向中国出口先进 AI 芯片。 报道指出,若相关消息属实,意味着中国 AI 公司仍能够获得英伟达最新一代 AI 芯片资源,美国对先进 AI 芯片的出口限制或再次面临有效性质疑。分析认为,这也将进一步加剧美国市场对于中国 AI 模型快速追赶 OpenAI、Anthropic 等头部模型的担忧。
Disclaimer: The views above are the author's only and do not represent 711BTC. Nothing here constitutes investment advice.

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07-02 09:21

Palantir CEO: Enterprises are dissatisfied with "cutting-edge labs" like OpenAI and Anthropic, which only pursue token maximization.

According to BlockBeats, on July 2nd, Palantir CEO Alex Karp, in an interview with CNBC's "Squawk Box," strongly criticized leading AI model companies, calling the way AI is sold "completely wrong." Karp emphasized that companies are already dissatisfied with "cutting-edge labs" like OpenAI and Anthropic, believing they only pursue token maximization, wasting companies' time and money while handing over proprietary value and IP. Karp stated that companies are "angry" and will commit to owning their own AI production resources rather than relying on third parties. On June 29th, Palantir partnered with Nvidia to deploy Nvidia Nemotron open AI models in sovereign environments, primarily serving the US government and critical infrastructure customers. The collaborative system reportedly integrates Nvidia AI technology with Palantir's AIP, Foundry, Ontology, and Apollo platforms, helping organizations train, customize, and deploy AI locally while maintaining complete control over data, intellectual property, and models.

06-30 23:07

Amazon AWS establishes a $1 billion AI FDE team to emulate the enterprise AI deployment models of OpenAI and Anthropic.

BlockBeats reported on June 30th that Amazon Web Services (AWS) announced the creation of a new Forward-Deployed Engineer (FDE) organization and will invest $1 billion in internal resources to help enterprise customers deploy customized AI agents and related systems. AWS stated that FDE engineers will be directly stationed at customer companies, responsible for building AI applications, optimizing workflows, and helping customers build the ability to independently develop and operate AI systems, rather than simply delivering and maintaining them. The FDE model was first promoted by Palantir and has rapidly gained popularity in recent years due to the growing demand for enterprise AI deployment. Previously, OpenAI and Anthropic also launched related FDE joint ventures, with sizes of approximately $4 billion and $1.5 billion respectively. Unlike the two companies, which formed joint ventures with private equity firms, AWS's $1 billion investment this time primarily comes from internal resources and is not an independent investment project. --------------------------------- Click the original link below to join the Beating · Lark AI news channel and monitor global AI hot topics and news 24/7.

06-27 22:50

OpenAI and Anthropic have maintained a relatively restrained approach to visual technology, leaving room for competition; xAI has launched an upgraded video model, betting on the image generation track.

PANews reported on June 27th that, according to The Information, sources familiar with the matter revealed that xAI is increasing its investment in video and image generation tools, attempting to differentiate itself in multimodal capabilities. In contrast, OpenAI and Anthropic have relatively limited visual generation capabilities, leaving room for xAI to enter the market. It is understood that xAI launched an upgraded video model last week, emphasizing its continued progress in visual generation, while simultaneously introducing external collaborations in areas such as encoding to counter competitors. Sources indicate that xAI is strengthening the user buzz and dissemination effect of its AI video tools, viewing it as a crucial tool for the next stage of product competition. SpaceX has also publicly supported and mentioned the popularity of its AI video tools.

06-25 19:53

OpenAI and Anthropic have maintained a relatively restrained approach to visual technology, leaving room for competition; xAI has launched an upgraded video model, betting on the image generation track.

According to sources familiar with the matter, xAI is increasing its investment in video and image generation tools, attempting to differentiate itself in multimodal capabilities. In contrast, OpenAI and Anthropic have relatively limited visual generation capabilities, leaving room for xAI to enter the market. It is understood that xAI launched an upgraded video model last week, emphasizing its continued progress in visual generation, while simultaneously introducing external collaborations in areas such as coding to counter competitors. Sources indicate that xAI is strengthening the user engagement and dissemination of its AI video tools, viewing it as a crucial competitive advantage for the next stage of product development. SpaceX has also publicly supported and mentioned the popularity of its AI video tools. (The Information)

06-17 19:56

Ornn launches Anthropic and OpenAI Token cost benchmark index

Odaily Odaily reports that AI cost tracking company Ornn has officially launched a token price benchmark service for mainstream large-scale models. The service adds independent token cost indices for Anthropic and OpenAI to measure the unit computational cost of different models in real-world use cases. This aims to provide end-users with a more transparent reference for AI inference costs and breaks down the token pricing of different AI labs into comparable standardized metrics, helping enterprise clients and investors obtain a unified way to measure and hedge against fluctuations in AI computing costs. (The Information)

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MoE Capital, with participation from researchers at OpenAI, Anthropic, and xAI, raised $25 million.

According to Beating, MoE Capital, an early-stage venture capital fund co-founded by former AGI House members, has completed its first round of fundraising, raising $25 million. What makes this fund unique is its deeply integrated network of limited partners (LPs) and advisors, comprised of active researchers from leading labs such as OpenAI, Anthropic, and xAI. Amidst fierce competition in early-stage AI investment, MoE Capital aims to gain an informational advantage by building a close-knit community of researchers. Researchers working in mainstream labs can immediately recommend former colleagues with entrepreneurial aspirations to the fund, thus securing high-value projects. To strengthen hardware and software synergy, the team also organized a trip for several researchers to Shenzhen this month to explore robotics supply chain suppliers. Currently, MoE Capital has invested in Phylo, which develops AI agents for biomedicine, and Recursive Superintelligence, a neolab company dedicated to achieving recursive superintelligence.