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kimi

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hot_img Jensen Huang responds to Kimi's impact: the market misunderstands again, free AI benefits chip demand

NVIDIA CEO Jensen Huang stated in an exclusive interview with Axios on Tuesday that American companies "absolutely" should be allowed to use Chinese open-source AI models, directly challenging the Trump administration and some American AI labs' blockade policies.Huang believes that the market's panic over Kimi K3 is a misreading, similar to the sell-off triggered by DeepSeek in early 2025: cheaper open-source models will expand the AI audience and increase, rather than decrease, the demand for chips, data centers, and computing power. "Free AI is good for hardware, good for chips, good for data centers." He also refuted the notion that open-source models pose security risks, claiming that open-source is actually safer because external researchers can examine the models, expose vulnerabilities, and build defenses, while calling for Anthropic to open its Claude Mythos model to "everyone."Huang rejected the narrative that "China will defeat American companies," arguing that the AI race has no finish line and that China and the U.S. will coexist in the long term. Hours after the interview, U.S. Treasury Secretary Bessent stated that the government is reviewing whether Chinese AI models are stealing intellectual property and considering sanctions. Huang responded that knowledge distillation is the foundation of intelligence and that accountability should be directed at violations rather than the models themselves.

hot_img The dark side of the moon accelerates capitalization, Kimi K3 rushes to a valuation of 50 billion dollars after its release

The Chinese AI large model company Dark Side of the Moon is accelerating its capitalization process, planning to start the final round of pre-IPO financing negotiations in August, with a target pre-investment valuation of $50 billion. Reports indicate that Dark Side of the Moon expects to complete a round of financing soon, corresponding to a valuation of approximately $31.5 billion. After completing this round of financing, the company will immediately engage in discussions for the next round of financing with potential investors, which may become its last private placement before entering the Hong Kong capital market.Market participants believe that if the financing plan proceeds smoothly, Dark Side of the Moon could initiate the process for a Hong Kong stock listing as early as this year. One of the key driving factors for this valuation increase is the company's recent release of the new generation large model Kimi K3. It is reported that Kimi K3 has a parameter scale of 28 trillion, supporting a context window of millions of tokens, making it one of the largest open-source models in the world by parameter scale. After the model was released, it quickly attracted market attention, prompting the company to adjust its new user subscription arrangements to ensure the user experience for existing customers.As the competition in generative AI enters a phase of comparison in computing power, user scale, and commercialization capabilities, large model companies are accelerating their search for capital support. Dark Side of the Moon's financing plan also reflects the market's ongoing interest in leading AI foundational model companies. However, the $50 billion valuation target also implies higher commercialization requirements. In the future, investors will focus on Dark Side of the Moon's revenue growth, control of computing costs, and whether the Kimi series models can form a stable business model. If the financing and listing plans proceed smoothly, Dark Side of the Moon may become an important case of capitalization for Chinese AI large model companies.

The dark side of the moon plans to release the Kimi K3 large model soon, with a parameter scale reaching 2 to 3 trillion, closely following the leading teams in the United States

According to the Financial Times, informed sources reveal that the Chinese AI unicorn company Moonshot AI plans to release a new large language model, Kimi K3, in the near future. This model has between 20 trillion to 30 trillion parameters, making it the largest AI model in China by parameter scale, and its performance is expected to surpass the flagship model Claude Opus 4.8 from Anthropic in mainstream benchmark tests (industry speculation suggests its parameter count is around 15 trillion to 20 trillion).Unlike the currently mainstream closed-source and expensive cutting-edge large models in the United States, Kimi K3 will be available as an open-weight model for users to download and modify for free, which may create competitive pressure for leading American labs like OpenAI and Anthropic. Currently, due to the rising service fees for large models in the U.S. (for example, Anthropic has announced a 50% price increase for Opus 4.8 in September), some overseas companies have begun to shift towards using more cost-effective Chinese open-source models.In terms of the capital market, informed sources indicate that Moonshot AI is preparing for a new round of financing, with the latest valuation expected to reach approximately $31.5 billion. Meanwhile, the valuations of other AI giants in China and the U.S. are also rising; DeepSeek is starting a new round of financing with an estimated valuation of about $71 billion, while Anthropic and OpenAI have reached valuations of $965 billion and $852 billion, respectively, in their latest round of financing. In response to the aforementioned release and financing rumors, Moonshot AI has currently declined to comment.

Kimi B's head of the department: There is a bubble in the AI industry, but the fundamentals are solid; the price increase of APIs is due to tight computing power

According to a report by 21 Finance, Huang Zhenxin, the head of Kimi B-end at Moonshot AI, stated in a recent communication meeting that there is indeed a bubble in the current AI industry, but the fundamentals are very solid. Enterprises can now clearly calculate the return on investment (ROI), and the substantial transformation in productivity brought by AI has already occurred.Regarding the recent phenomenon of widespread price increases among model vendors, Huang Zhenxin pointed out that the core reason lies in the rising global computing power costs, and chip production capacity cannot meet the explosive growth in Token demand. He emphasized that evaluating the cost-performance ratio of models should not only look at the unit price of input and output but should also focus on the Cache hit rate. It is reported that Kimi's original factory Cache hit rate has reached over 90%, significantly reducing actual computing costs.In addition, Huang Zhenxin revealed that Kimi will continue to challenge innovations in underlying architecture to sustain the Scaling Law, and its Muon optimizer, which has been validated on a large scale, is now widely adopted by several mainstream large models in the industry. Regarding the "last mile" of enterprise AI implementation, he believes that as the foundational capabilities of models continue to strengthen, the technical paradigms at the application layer will also continue to simplify.
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