英伟达、微软、Meta等联名反对过早限制开放权重AI模型，美国对中国模型与蒸馏的监管路径仍未落地

# 美股盘后催化 8/11: Nvidia、Microsoft、Meta、Palantir等联名支持开放权重AI模型，Kimi冲击后美国AI监管路线成为新变量

- 美股会话: 2026-07-24
- 方向: MIXED；类型: 监管/政策；规划重大性: 7/10
- 映射模式: competitive
- 美股驱动（规划器初判，需独立核验）: 事实：Nvidia、Microsoft、Meta、Palantir、IBM等约25家机构公开反对过早广泛限制开放权重模型，黄仁勋、Altman、Musk等公开支持；FT/Bloomberg/TechCrunch把背景指向中国Kimi K3引发华盛顿关注和对开源/蒸馏限制的讨论。推断：开放模型政策友好有利算力扩散、开发者生态和企业私有部署，但对闭源模型溢价、中国模型出海和AI监管风险是双向变量。

## 本催化相关美股真实收盘行情

- 英伟达 (NVDA.US): 206.84 -0.92%
- 微软 (MSFT.US): 381.7 +0.03%
- 谷歌 (GOOGL.US): 319.74 +0.65%
- Meta (META.US): 595.19 -1.80%
- 亚马逊 (AMZN.US): 232.11 -0.66%
- Palantir (PLTR.US): 122.92 -0.36%
- IBM.US (IBM.US): 214.19 +3.65%

## 亚太映射假设（仅候选，必须查证）

- 阿里巴巴 (9988.HK) [HK/竞争替代/mixed]: 若美国避免全面封禁开放模型，阿里通义等开源/开放模型生态情绪改善；若针对中国模型或蒸馏定向限制，则海外部署承压。；核验问题: 核实阿里模型是否被美国政策讨论点名、海外客户采用和云服务合规暴露。
- 百度集团-SW (9888.HK) [HK/竞争替代/mixed]: 美国开放权重政策和对中国模型审查会影响文心等模型的海外商业化和竞争定位。；核验问题: 核实百度开放模型策略、海外部署和潜在监管暴露。
- 三星电子 (005930.KS) [KR/供应商/positive]: 开放模型扩散可能增加端侧AI、企业私有部署和服务器内存需求。；核验问题: 验证开放模型采用是否真实转化为终端DRAM、服务器DRAM或HBM增量。

## 必答问题

- 美国政府会定向限制中国模型公司，还是限制开放权重/蒸馏技术本身？
- 未签署的Google/Amazon/OpenAI/Anthropic真实立场是什么？
- 开放模型扩散对推理芯片需求是增量还是价格压力？

## 原始证据全文（16 条）

### [E0378] CNBC Top News | 2026-07-24 14:15 UTC | 盘中
Nvidia, Microsoft, Meta warn against 'premature restrictions' of open-weight models
URL: https://www.cnbc.com/2026/07/24/nvidia-microsoft-meta-open-weight-ai-models.html
Nvidia, Microsoft, Meta, Palantir and more than 20 other companies released a letter on Friday urging policymakers to avoid "premature restrictions" on open-weight artificial intelligence models that would "stifle competition or drive innovation overseas."
Open-weight AI models are available for users to download, modify and run on their own infrastructure, and they have been the subject of fierce debate within the tech sector in recent weeks.
Chinese open-weight models are gaining steam against leading offerings from American companies like OpenAI and Anthropic, which primarily develop proprietary, closed models. Officials and executives have been weighing whether or not to restrict access to Chinese models in the U.S.
Moonshot AI, a Chinese startup, amplified concerns earlier this month after releasing a model called Kimi K3 that outperforms cutting-edge American offerings across some industry benchmarks. U.S. Treasury Secretary Scott Bessent told CNBC on Tuesday that the Trump administration would look into whether Chinese companies were stealing American intellectual property, and stated that the government has "the ability to sanction them because of this theft."
But in the letter on Friday, the group of U.S. tech companies cautioned against any rash actions. They wrote that open-weight models strengthen competition and ensure that the benefits of the technology are "broadly shared rather than concentrated in a few hands."
"Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect," the letter said. "And concentrating advanced AI capabilities behind a small number of closed models compounds that risk."
Nvidia CEO Jensen Huang and Microsoft CEO Satya Nadella both shared the letter on their personal social media accounts.
OpenAI and Anthropic did not sign the letter. Both companies, which are each valued at nearly $1 trillion, are gearing up for potentially massive IPOs that could land as soon as this year. Anthropic confidentially filed its prospectus with the Securities and Exchange Commission in June, and OpenAI followed suit days later.
Greg Brockman, OpenAI's president, said Thursday that the company believes in broad access, and that he has not been involved in any conversations with the Trump administration about potentially banning Chinese open-weight models in the U.S.
"I think that, that fundamentally, AI and AI usage is something that is actually very important to democratize," Brockman told reporters during a briefing in New York City. "And so, for me, at a sort of deep level, I think that having more models, more usage, that is a good thing."
White House advisor Michael Kratsios on Wednesday said that Moonshot AI developed its Kimi K3 model by distilling Anthropic's technology. Distillation is a term for an AI training method where a smaller, less capable model is built using outputs from an existing, stronger model.
Kratsios wrote in a post on X that legitimate AI distillation plays a vital role in the open innovation ecosystem, but warned that "large-scale, covert industrial distillation aimed at stealing proprietary U.S. technology" is "unacceptable."
In the letter on Friday, the U.S. tech companies said that concerns about unlawful distillation should be addressed through "targeted legal and commercial frameworks" instead of with "sweeping restrictions on techniques that play an important role in AI innovation."
"Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector," the letter said. "This is essential for creating opportunities for innovation and prosperity across the country."
WATCH: AI is forcing the cyber industry to revisualize how it operates, says TrustedSec’s David Kennedy

### [E0379] CNBC Top News | 2026-07-24 14:15 UTC | 盘中
Nvidia, Microsoft, Meta warn against 'premature restrictions' of open-weight models
URL: https://www.cnbc.com/2026/07/24/nvidia-microsoft-meta-open-weight-ai-models.html
Nvidia, Microsoft, Meta, Palantir and more than 20 other companies released a letter on Friday urging policymakers to avoid "premature restrictions" on open-weight artificial intelligence models that would "stifle competition or drive innovation overseas."
Open-weight AI models are available for users to download, modify and run on their own infrastructure, and they have been the subject of fierce debate within the tech sector in recent weeks.
Chinese open-weight models are gaining steam against leading offerings from American companies like OpenAI and Anthropic, which primarily develop proprietary, closed models. Officials and executives have been weighing whether or not to restrict access to Chinese models in the U.S.
Moonshot AI, a Chinese startup, amplified concerns earlier this month after releasing a model called Kimi K3 that outperforms cutting-edge American offerings across some industry benchmarks. U.S. Treasury Secretary Scott Bessent told CNBC on Tuesday that the Trump administration would look into whether Chinese companies were stealing American intellectual property, and stated that the government has "the ability to sanction them because of this theft."
But in the letter on Friday, the group of U.S. tech companies cautioned against any rash actions. They wrote that open-weight models strengthen competition and ensure that the benefits of the technology are "broadly shared rather than concentrated in a few hands."
"Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect," the letter said. "And concentrating advanced AI capabilities behind a small number of closed models compounds that risk."
Nvidia CEO Jensen Huang and Microsoft CEO Satya Nadella both shared the letter on their personal social media accounts.
OpenAI and Anthropic did not sign the letter. Both companies, which are each valued at nearly $1 trillion, are gearing up for potentially massive IPOs that could land as soon as this year. Anthropic confidentially filed its prospectus with the Securities and Exchange Commission in June, and OpenAI followed suit days later.
Greg Brockman, OpenAI's president, said Thursday that the company believes in broad access, and that he has not been involved in any conversations with the Trump administration about potentially banning Chinese open-weight models in the U.S.
"I think that, that fundamentally, AI and AI usage is something that is actually very important to democratize," Brockman told reporters during a briefing in New York City. "And so, for me, at a sort of deep level, I think that having more models, more usage, that is a good thing."
White House advisor Michael Kratsios on Wednesday said that Moonshot AI developed its Kimi K3 model by distilling Anthropic's technology. Distillation is a term for an AI training method where a smaller, less capable model is built using outputs from an existing, stronger model.
Kratsios wrote in a post on X that legitimate AI distillation plays a vital role in the open innovation ecosystem, but warned that "large-scale, covert industrial distillation aimed at stealing proprietary U.S. technology" is "unacceptable."
In the letter on Friday, the U.S. tech companies said that concerns about unlawful distillation should be addressed through "targeted legal and commercial frameworks" instead of with "sweeping restrictions on techniques that play an important role in AI innovation."
"Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector," the letter said. "This is essential for creating opportunities for innovation and prosperity across the country."
WATCH: AI is forcing the cyber industry to revisualize how it operates, says TrustedSec’s David Kennedy

### [E0638] Bloomberg | 2026-07-24 14:59 UTC | 盘中
Nvidia, Microsoft Lead Call for Open-Weight AI Models After Kimi
URL: https://www.bloomberg.com/news/articles/2026-07-24/nvidia-microsoft-lead-call-for-open-weight-ai-models-after-kimi
A coalition of technology companies led by Nvidia Corp. and Microsoft Corp. called on policymakers to promote the development of open-weight artificial intelligence models, positioning it as key to ensuring the US maintains technological leadership.

In a letter Friday, tech firms including Palantir Technologies Inc. and Meta Platforms Inc. argued that an open approach to AI software development was critical to continuing innovation in AI and other key areas of the economy. Open-weight models allow users to download and customize the technology, making it more versatile to developers and businesses.

Open-weight models “are an important part of that foundation because they make advanced AI more accessible, adaptable and widely available,” read the letter, which was shared by Nvidia Chief Executive Officer Jensen Huang in his first post to a new personal X account. Microsoft CEO Satya Nadella also shared it from his account.

The missive was released a week after Chinese startup Moonshot AI unveiled an open-weight model called Kimi K3 that it said rivaled top offerings from OpenAI and Anthropic PBC. The release rattled investors and prompted policymakers in Washington to raise the possibility of cracking down on China’s AI technology.

Chinese companies, including DeepSeek, have previously flooded the market with more affordable, open models that typically lag behind the most cutting-edge software from US rivals but nonetheless can undercut them on price. While some AI developers like OpenAI do offer open alternatives, much of their focus has been on closed or proprietary systems that they sell to businesses and customers to recoup the substantial cost of building AI.

The coalition of tech firms did not mention China or Moonshot in the letter, but rather appealed to the need to bolster and maintain US competitiveness in AI. Open-weight models have the potential to bolster global adoption of AI, thereby driving up sales of chips from firms like Nvidia.

“Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector,” the letter said. “This is essential for creating opportunities for innovation and prosperity across the country.”

### [E0639] Bloomberg | 2026-07-24 14:59 UTC | 盘中
Nvidia, Microsoft Lead Call for Open-Weight AI Models After Kimi
URL: https://www.bloomberg.com/news/articles/2026-07-24/nvidia-microsoft-lead-call-for-open-weight-ai-models-after-kimi
A coalition of technology companies led by Nvidia Corp. and Microsoft Corp. called on policymakers to promote the development of open-weight artificial intelligence models, positioning it as key to ensuring the US maintains technological leadership.

In a letter Friday, tech firms including Palantir Technologies Inc. and Meta Platforms Inc. argued that an open approach to AI software development was critical to continuing innovation in AI and other key areas of the economy. Open-weight models allow users to download and customize the technology, making it more versatile to developers and businesses.

Open-weight models “are an important part of that foundation because they make advanced AI more accessible, adaptable and widely available,” read the letter, which was shared by Nvidia Chief Executive Officer Jensen Huang in his first post to a new personal X account. Microsoft CEO Satya Nadella also shared it from his account.

The missive was released a week after Chinese startup Moonshot AI unveiled an open-weight model called Kimi K3 that it said rivaled top offerings from OpenAI and Anthropic PBC. The release rattled investors and prompted policymakers in Washington to raise the possibility of cracking down on China’s AI technology.

Chinese companies, including DeepSeek, have previously flooded the market with more affordable, open models that typically lag behind the most cutting-edge software from US rivals but nonetheless can undercut them on price. While some AI developers like OpenAI do offer open alternatives, much of their focus has been on closed or proprietary systems that they sell to businesses and customers to recoup the substantial cost of building AI.

The coalition of tech firms did not mention China or Moonshot in the letter, but rather appealed to the need to bolster and maintain US competitiveness in AI. Open-weight models have the potential to bolster global adoption of AI, thereby driving up sales of chips from firms like Nvidia.

“Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector,” the letter said. “This is essential for creating opportunities for innovation and prosperity across the country.”

### [E0741] Financial Times | 2026-07-24 15:20 UTC | 盘中
Nvidia and Palantir urge US not to ban ‘open’ AI models after China scare
URL: https://www.ft.com/content/3203fc9a-2321-44f8-8093-b7e16c8fc6d7?syn-25a6b1a6=1
Nvidia and Palantir urge US not to ban ‘open’ AI models after China scare
Leading tech groups including Nvidia, Palantir, Microsoft and Meta have urged the US not to restrict “open-weight” AI models, as Washington threatens to target Chinese labs over fears of intellectual property theft.
Open models, which users can customise and run on their own hardware, are popular among Chinese AI developers who have recently announced technical advances against US rivals whose top-tier models are closed.
The open letter on Friday, which argued policymakers should keep “the [AI] frontier plural by avoiding premature restrictions on open models”, was not joined by OpenAI, Anthropic or Google — the three leading makers of closed AI models.
The public plea comes amid an intensifying fight over the fate of open-weight models. Calls for a ban on Chinese AI models have grown louder this month after the release of Kimi K3 by Beijing-based Moonshot AI, whose capabilities stoked concerns about China edging ahead in an AI arms race both countries regard as critical to national security and prosperity.
Michael Kratsios, director of the White House Office of Science and Technology Policy, this week said the US “has information” that Moonshot used a process called distillation — which involves training a less powerful model using the outputs from a stronger one — to develop its technology from Anthropic’s latest Fable model.
“Large-scale, covert industrial distillation aimed at stealing proprietary US technology and undermining American research is unacceptable,” he said.
In response to Kratsios’s claim, Anthropic said “industrial espionage . . . creates serious national security risks for the United States and democratic allies”.
US Treasury secretary Scott Bessent fuelled speculation about a ban on Chinese models, saying that “when PRC firms conduct covert, industrial-scale distillation attacks that cross the line into IP theft, sanctions . . . will be on the table”.
But he added that the Trump administration supports open-weight AI.
The availability of high-performing, openly accessible Chinese models is also a threat to the business models of the Silicon Valley groups. OpenAI and Anthropic have both attained valuations of close to $1tn this year, with investors betting the pair can sustain a lead over foreign rivals which will enable them to charge a premium for their models.
Friday’s letter argued the availability of open models would also save businesses from “paying frontier-model prices for every task” and spread AI adoption more widely.
Investors including Donald Trump’s former AI tsar David Sacks have accused Anthropic of trying to quash open-source rivals by amping up the threat they pose in order to cement their competitive advantage.
A preliminary assessment of Kimi K3’s capabilities by US and UK researchers released on Thursday found it was still way behind leading American models. US open-weight models are further behind still.
In an interview with Axios this week, Nvidia chief executive Jensen Huang said open-source models, including Chinese ones, should be embraced by US companies. “These Chinese open-source models are excellent,” he said, adding: “Great models lead to more usage.”
Huang has also pushed the US to allow Nvidia to sell its AI chips, which are used to train the most advanced models, in China, arguing it would strengthen America’s leadership of the industry.
In Friday’s letter, the companies calling for open-weight models — which include venture capital group Andreessen Horowitz, IBM and Reflection — conceded these “carry real and distinct risks” as, once released, users can modify the models, giving creators little control over their ultimate use.
However, they argued blocking their use would only increase such risks, whereas releasing them would allow “a broad community of researchers and developers to examine their behaviour, identify vulnerabilities, develop safeguards and improve them over time”.

### [E0742] Financial Times | 2026-07-24 15:20 UTC | 盘中
Nvidia and Palantir urge US not to ban ‘open’ AI models after China scare
URL: https://www.ft.com/content/3203fc9a-2321-44f8-8093-b7e16c8fc6d7?syn-25a6b1a6=1
Nvidia and Palantir urge US not to ban ‘open’ AI models after China scare
Leading tech groups including Nvidia, Palantir, Microsoft and Meta have urged the US not to restrict “open-weight” AI models, as Washington threatens to target Chinese labs over fears of intellectual property theft.
Open models, which users can customise and run on their own hardware, are popular among Chinese AI developers who have recently announced technical advances against US rivals whose top-tier models are closed.
The open letter on Friday, which argued policymakers should keep “the [AI] frontier plural by avoiding premature restrictions on open models”, was not joined by OpenAI, Anthropic or Google — the three leading makers of closed AI models.
The public plea comes amid an intensifying fight over the fate of open-weight models. Calls for a ban on Chinese AI models have grown louder this month after the release of Kimi K3 by Beijing-based Moonshot AI, whose capabilities stoked concerns about China edging ahead in an AI arms race both countries regard as critical to national security and prosperity.
Michael Kratsios, director of the White House Office of Science and Technology Policy, this week said the US “has information” that Moonshot used a process called distillation — which involves training a less powerful model using the outputs from a stronger one — to develop its technology from Anthropic’s latest Fable model.
“Large-scale, covert industrial distillation aimed at stealing proprietary US technology and undermining American research is unacceptable,” he said.
In response to Kratsios’s claim, Anthropic said “industrial espionage . . . creates serious national security risks for the United States and democratic allies”.
US Treasury secretary Scott Bessent fuelled speculation about a ban on Chinese models, saying that “when PRC firms conduct covert, industrial-scale distillation attacks that cross the line into IP theft, sanctions . . . will be on the table”.
But he added that the Trump administration supports open-weight AI.
The availability of high-performing, openly accessible Chinese models is also a threat to the business models of the Silicon Valley groups. OpenAI and Anthropic have both attained valuations of close to $1tn this year, with investors betting the pair can sustain a lead over foreign rivals which will enable them to charge a premium for their models.
Friday’s letter argued the availability of open models would also save businesses from “paying frontier-model prices for every task” and spread AI adoption more widely.
Investors including Donald Trump’s former AI tsar David Sacks have accused Anthropic of trying to quash open-source rivals by amping up the threat they pose in order to cement their competitive advantage.
A preliminary assessment of Kimi K3’s capabilities by US and UK researchers released on Thursday found it was still way behind leading American models. US open-weight models are further behind still.
In an interview with Axios this week, Nvidia chief executive Jensen Huang said open-source models, including Chinese ones, should be embraced by US companies. “These Chinese open-source models are excellent,” he said, adding: “Great models lead to more usage.”
Huang has also pushed the US to allow Nvidia to sell its AI chips, which are used to train the most advanced models, in China, arguing it would strengthen America’s leadership of the industry.
In Friday’s letter, the companies calling for open-weight models — which include venture capital group Andreessen Horowitz, IBM and Reflection — conceded these “carry real and distinct risks” as, once released, users can modify the models, giving creators little control over their ultimate use.
However, they argued blocking their use would only increase such risks, whereas releasing them would allow “a broad community of researchers and developers to examine their behaviour, identify vulnerabilities, develop safeguards and improve them over time”.

### [E0873] TechCrunch AI | 2026-07-24 15:51 UTC | 盘中
As US weighs response to Chinese AI, industry urges against broad open-weight restrictions
URL: https://techcrunch.com/2026/07/24/as-us-weighs-response-to-chinese-ai-industry-urges-against-broad-open-weight-restrictions/
Several AI companies including Hugging Face, Meta, Microsoft, Mistral and Nvidia have signed an open letter urging policymakers not to impose broad “premature restrictions” on open-weight AI models. The letter comes as Washington debates how the U.S. should respond to allegations that Chinese AI labs are stealing intellectual property from their American counterparts, and growing in capability.
The letter doesn’t mention China at all, but it comes in the wake of reports that the Trump administration has been considering banning Chinese open-weight models, and potentially issuing sanctions against AI companies from the country. The White House has even accused Moonshot AI of distilling Anthropic’s Fable model to train its recently released and, by all measures, very impressive, Kimi K3 model.
The missive appears to be aimed at discouraging a total ban on Chinese models, as well as ensuring the administration’s response to alleged Chinese distillation doesn’t spill over into broader restrictions on open-weight AI or common techniques like distillation:
“Policymakers should be careful not to conflate legitimate model-development techniques with misappropriation. Distillation, or the practice of using one model’s outputs to help train or improve another, is a widely used technique for model improvement, evaluation, and validation. It reflects a long tradition of learning from, building upon, and improving existing technologies, a tradition that has helped drive innovation since the rise of the open-source software movement.
By contrast, unlawful efforts to extract value from closed models raise legitimate concerns. Those concerns should be addressed through targeted legal and commercial frameworks rather than sweeping restrictions on techniques that play an important role in AI innovation.”
The letter also pushes back on arguments in the industry that open-weight models are inherently dangerous because they expand access to powerful models, which can be used in cyberattacks or other nefarious activities, without any oversight.
“The right response to this risk is not to prohibit open weights. In a world where cybersecurity attackers use advanced AI, defenders need access to models with comparable capabilities so they can detect, simulate, and respond to emerging threats,” the letter reads. “Open models broaden defensive capability, increase transparency, and allow vulnerabilities to be discovered and remediated across many teams.”
Last week, OpenAI disclosed that while testing GPT-5.6 Sol and another unnamed model, one of the systems exploited a weakness in its testing environment to access a Hugging Face repository containing a solution to a coding benchmark. One could argue the model’s goal wasn’t malicious, and that it was effectively cheating on a test to get the highest score. But the incident sparked debate about the risks of concentrating advanced AI technology behind a handful of closed providers.
Hugging Face said it was not able to defend itself against the attack with commercial frontier AI models because their guardrails blocked its efforts. The closed AI models it used were unable to distinguish between being asked to build exploits for an attacker and a defender trying to detect them. The company instead had to pivot to using Chinese AI firm Z.ai’s GLM 5.2, a powerful open-weight model, to defend itself against the attack.
The letter highlights a divide in the AI industry. Companies like OpenAI and Anthropic have urged the administration to respond to alleged IP theft by Chinese AI firms as open-weight models grow rapidly in capability. The outcome could have major implications on their business models, which is being threatened by the spread of cheap, highly capable and accessible AI models.
These companies, alongside other closed-source AI developers like Google DeepMind and SpaceX, are notable in their absence at the bottom of this letter.
Those who signed the letter have an obvious economic stake in seeing open AI models flourish. Companies like Nvidia, Microsoft Azure, and other infrastructure providers have a vested interest in pushing for commoditized models: If models are interchangeable, people will buy more GPUs, rent more cloud capacity, build more applications, and use more routing layers.
The letter encourages policymakers to expand access to compute for startups and researchers, invest in shared training assets like datasets, tools and evaluation frameworks, and “[keep] the frontier plural by avoiding premature restrictions on open models that stifle competition or drive innovation overseas.”

### [E0874] TechCrunch AI | 2026-07-24 15:51 UTC | 盘中
As US weighs response to Chinese AI, industry urges against broad open-weight restrictions
URL: https://techcrunch.com/2026/07/24/as-us-weighs-response-to-chinese-ai-industry-urges-against-broad-open-weight-restrictions/
Several AI companies including Hugging Face, Meta, Microsoft, Mistral and Nvidia have signed an open letter urging policymakers not to impose broad “premature restrictions” on open-weight AI models. The letter comes as Washington debates how the U.S. should respond to allegations that Chinese AI labs are stealing intellectual property from their American counterparts, and growing in capability.
The letter doesn’t mention China at all, but it comes in the wake of reports that the Trump administration has been considering banning Chinese open-weight models, and potentially issuing sanctions against AI companies from the country. The White House has even accused Moonshot AI of distilling Anthropic’s Fable model to train its recently released and, by all measures, very impressive, Kimi K3 model.
The missive appears to be aimed at discouraging a total ban on Chinese models, as well as ensuring the administration’s response to alleged Chinese distillation doesn’t spill over into broader restrictions on open-weight AI or common techniques like distillation:
“Policymakers should be careful not to conflate legitimate model-development techniques with misappropriation. Distillation, or the practice of using one model’s outputs to help train or improve another, is a widely used technique for model improvement, evaluation, and validation. It reflects a long tradition of learning from, building upon, and improving existing technologies, a tradition that has helped drive innovation since the rise of the open-source software movement.
By contrast, unlawful efforts to extract value from closed models raise legitimate concerns. Those concerns should be addressed through targeted legal and commercial frameworks rather than sweeping restrictions on techniques that play an important role in AI innovation.”
The letter also pushes back on arguments in the industry that open-weight models are inherently dangerous because they expand access to powerful models, which can be used in cyberattacks or other nefarious activities, without any oversight.
“The right response to this risk is not to prohibit open weights. In a world where cybersecurity attackers use advanced AI, defenders need access to models with comparable capabilities so they can detect, simulate, and respond to emerging threats,” the letter reads. “Open models broaden defensive capability, increase transparency, and allow vulnerabilities to be discovered and remediated across many teams.”
Last week, OpenAI disclosed that while testing GPT-5.6 Sol and another unnamed model, one of the systems exploited a weakness in its testing environment to access a Hugging Face repository containing a solution to a coding benchmark. One could argue the model’s goal wasn’t malicious, and that it was effectively cheating on a test to get the highest score. But the incident sparked debate about the risks of concentrating advanced AI technology behind a handful of closed providers.
Hugging Face said it was not able to defend itself against the attack with commercial frontier AI models because their guardrails blocked its efforts. The closed AI models it used were unable to distinguish between being asked to build exploits for an attacker and a defender trying to detect them. The company instead had to pivot to using Chinese AI firm Z.ai’s GLM 5.2, a powerful open-weight model, to defend itself against the attack.
The letter highlights a divide in the AI industry. Companies like OpenAI and Anthropic have urged the administration to respond to alleged IP theft by Chinese AI firms as open-weight models grow rapidly in capability. The outcome could have major implications on their business models, which is being threatened by the spread of cheap, highly capable and accessible AI models.
These companies, alongside other closed-source AI developers like Google DeepMind and SpaceX, are notable in their absence at the bottom of this letter.
Those who signed the letter have an obvious economic stake in seeing open AI models flourish. Companies like Nvidia, Microsoft Azure, and other infrastructure providers have a vested interest in pushing for commoditized models: If models are interchangeable, people will buy more GPUs, rent more cloud capacity, build more applications, and use more routing layers.
The letter encourages policymakers to expand access to compute for startups and researchers, invest in shared training assets like datasets, tools and evaluation frameworks, and “[keep] the frontier plural by avoiding premature restrictions on open models that stifle competition or drive innovation overseas.”

### [E0917] Tech Insider | 2026-07-24 16:01 UTC | 盘中
Microsoft, Meta, Nvidia, and Palantir have a message for Washington
URL: https://www.businessinsider.com/microsoft-nvidia-meta-palantir-jensen-huang-open-source-ai-letter-2026-7
In his first-ever post on X, Nvidia CEO Jensen Huang called attention to how some of the biggest names in AI and tech are rallying together to defend the future of open-weight AI models.
"AI will transform every industry, power every company, and be built by every country," Huang wrote on X. "Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty."
On Friday, Nvidia, Microsoft, Meta, Mistral, and others signed an open letter that urges US policymakers not to crack down on open-weight AI models.
Their statement amounts to a full-throated endorsement of open-weight AI models at a time when top Trump administration officials have suggested they might take action against Moonshot AI, the creator of the Kimi K3, the world's most powerful open-weight AI model.
"Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector," the signatories wrote in the letter.
The two biggest absences in the list are OpenAI and Anthropic, widely viewed as the world leaders in the frontier AI model race. Unlike Anthropic's Fable 5 and OpenAI's GPT-5.6-Sol, Kimi K3 as an open-source model will soon be available for download and customization. Both companies would stand to gain if the US government either directly blocks or significantly impedes China-based open model makers like Moonshot AI. Google also did not sign the letter.
OpenAI CEO Sam Altman later said he was "glad to see" the support for open weight models.
"i want the US to win in AI both in open source and proprietary models," Altman wrote on X.
While SpaceX is not listed as a signatory, Elon Musk later signaled his support for the message.
"This has my full support," Musk wrote on X, quoting Huang's tweet. "Jensen is right."
While the letter does not mention Moonshot specifically, its authors portray the broader development of open AI models as akin to how open software revolutionized computing in the 1980s.
"Open source did more than lower the cost of software; it created a shared foundation of knowledge on which generations of American engineers and entrepreneurs built their institutional sovereignty," they wrote.
China has thus far dominated the development of open-weight AI models, despite the US' legendary reputation in the creation of open-source software. Two of the biggest modern names in open software, Mozilla and the Linux Foundation, also signed onto the letter.
In the US, Nvidia's Nemotron model is one of the largest open weight models, though its performance pales in comparison to rivals like Kimi K3. Alexandr Wang, chief AI officer of Meta, has said that his Meta Superintelligence Labs team remains committed to open models and is developing an open variant of its Muse Spark model. Reflection AI, a startup founded by former Google DeepMind researchers, is also preparing its own open model.
On Wednesday, Michael Kratsios, director of the White House Office of Science and Technology Policy, publicly accused Moonshot of developing Kimi K3 by distilling the model from Anthropic's Fable 5. Distillation, the process of training a less powerful model on the outputs of a more powerful one, is a controversial but commonly used practice in AI development. At the same time, companies like Anthropic have accused their Chinese counterparts of abusing the distillation process to the point of essentially ripping off their intellectual property.
Earlier this week, Treasury Secretary Scott Bessent suggested that the US could sanction companies that engage in such distillation, which he compared to theft.
The letter defends the distillation process more broadly, but does open the door to the possibility that companies like Nvidia, Microsoft, and Meta would support a crackdown on those proven to be bad actors.
"Unlawful efforts to extract value from closed models raise legitimate concerns," they wrote. "Those concerns should be addressed through targeted legal and commercial frameworks rather than sweeping restrictions on techniques that play an important role in AI innovation."
In total, a combination of 25 companies, organizations, and platforms signed on to the letter. They are the American Innovators Network, Andreessen Horowitz, Arcee AI, Arena, Black Forest Labs, Box, CrowdStrike, Dell Technologies, Emergence Capital, Hugging Face, IBM, The Linux Foundation, Mariana Minerals, Meta, Microsoft, Mistral, Mozilla, Nvidia, Palantir, Perplexity, Reflection, Replit, ServiceNow, Telnyx, and Y Combinator.

### [E0918] Tech Insider | 2026-07-24 16:01 UTC | 盘中
Microsoft, Meta, Nvidia, and Palantir have a message for Washington
URL: https://www.businessinsider.com/microsoft-nvidia-meta-palantir-jensen-huang-open-source-ai-letter-2026-7
In his first-ever post on X, Nvidia CEO Jensen Huang called attention to how some of the biggest names in AI and tech are rallying together to defend the future of open-weight AI models.
"AI will transform every industry, power every company, and be built by every country," Huang wrote on X. "Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty."
On Friday, Nvidia, Microsoft, Meta, Mistral, and others signed an open letter that urges US policymakers not to crack down on open-weight AI models.
Their statement amounts to a full-throated endorsement of open-weight AI models at a time when top Trump administration officials have suggested they might take action against Moonshot AI, the creator of the Kimi K3, the world's most powerful open-weight AI model.
"Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector," the signatories wrote in the letter.
The two biggest absences in the list are OpenAI and Anthropic, widely viewed as the world leaders in the frontier AI model race. Unlike Anthropic's Fable 5 and OpenAI's GPT-5.6-Sol, Kimi K3 as an open-source model will soon be available for download and customization. Both companies would stand to gain if the US government either directly blocks or significantly impedes China-based open model makers like Moonshot AI. Google also did not sign the letter.
OpenAI CEO Sam Altman later said he was "glad to see" the support for open weight models.
"i want the US to win in AI both in open source and proprietary models," Altman wrote on X.
While SpaceX is not listed as a signatory, Elon Musk later signaled his support for the message.
"This has my full support," Musk wrote on X, quoting Huang's tweet. "Jensen is right."
While the letter does not mention Moonshot specifically, its authors portray the broader development of open AI models as akin to how open software revolutionized computing in the 1980s.
"Open source did more than lower the cost of software; it created a shared foundation of knowledge on which generations of American engineers and entrepreneurs built their institutional sovereignty," they wrote.
China has thus far dominated the development of open-weight AI models, despite the US' legendary reputation in the creation of open-source software. Two of the biggest modern names in open software, Mozilla and the Linux Foundation, also signed onto the letter.
In the US, Nvidia's Nemotron model is one of the largest open weight models, though its performance pales in comparison to rivals like Kimi K3. Alexandr Wang, chief AI officer of Meta, has said that his Meta Superintelligence Labs team remains committed to open models and is developing an open variant of its Muse Spark model. Reflection AI, a startup founded by former Google DeepMind researchers, is also preparing its own open model.
On Wednesday, Michael Kratsios, director of the White House Office of Science and Technology Policy, publicly accused Moonshot of developing Kimi K3 by distilling the model from Anthropic's Fable 5. Distillation, the process of training a less powerful model on the outputs of a more powerful one, is a controversial but commonly used practice in AI development. At the same time, companies like Anthropic have accused their Chinese counterparts of abusing the distillation process to the point of essentially ripping off their intellectual property.
Earlier this week, Treasury Secretary Scott Bessent suggested that the US could sanction companies that engage in such distillation, which he compared to theft.
The letter defends the distillation process more broadly, but does open the door to the possibility that companies like Nvidia, Microsoft, and Meta would support a crackdown on those proven to be bad actors.
"Unlawful efforts to extract value from closed models raise legitimate concerns," they wrote. "Those concerns should be addressed through targeted legal and commercial frameworks rather than sweeping restrictions on techniques that play an important role in AI innovation."
In total, a combination of 25 companies, organizations, and platforms signed on to the letter. They are the American Innovators Network, Andreessen Horowitz, Arcee AI, Arena, Black Forest Labs, Box, CrowdStrike, Dell Technologies, Emergence Capital, Hugging Face, IBM, The Linux Foundation, Mariana Minerals, Meta, Microsoft, Mistral, Mozilla, Nvidia, Palantir, Perplexity, Reflection, Replit, ServiceNow, Telnyx, and Y Combinator.

### [E0948] NVIDIA | 2026-07-24 16:08 UTC | 盘中
Welcome @jensenhuang 💚

The future of AI leadership needs both frontier closed models and frontier open models.
URL: https://x.com/nvidia/status/2080686579400765517
Welcome @jensenhuang 💚

The future of AI leadership needs both frontier closed models and frontier open models.

### [E0980] Seeking Alpha | 2026-07-24 16:15 UTC | 盘中
OpenAI's Altman supports Nvidia's Huang on importance of open models in AI race
URL: https://seekingalpha.com/news/4618267-openais-altman-supports-nvidias-huang-on-importance-of-open-models-in-ai-race?utm_source=feed_news_all&utm_medium=referral&feed_item_type=news
OpenAI (OPENAI) CEO Sam Altman agreed with Nvidia (NVDA) CEO Jensen Huang that open models are important to help the U.S. win the artificial intelligence race.
"I want the US to win in AI both in open-source and proprietary models, and I am glad to see this," Altman posted on X on Friday in response to Huang.
Huang posted earlier in the day, his first post ever on the platform, sharing a signed letter sent to the U.S. Congress on open AI models and the need for American leadership in the space.
The three-page letter was signed by Nvidia, along with other tech industry heavyweights, including Meta Platforms (META), Box (BOX), CrowdStrike (CRWD), Microsoft (MSFT), and others. Twenty-five entities in total signed the letter.
"Open weights expand access to the AI economy," the letter reads. "Startups, established businesses, universities, and public institutions can build on advanced models without training one from scratch or paying frontier-model prices for every task … America wins the AI era by diffusing it into the workflows of factories, hospitals, farms, classrooms, and Main Street businesses."
"Open weights also strengthen competition, and competition is what keeps the gains of AI broadly shared rather than concentrated in a few hands," it added.

### [E0280] TechCrunch AI | 2026-07-24 14:00 UTC | 盘中
‘AI communism’, rogue models, and the why Kimi K3 spooked Wall Street
URL: https://techcrunch.com/podcast/ai-communism-rogue-models-and-the-why-kimi-k3-spooked-wall-street/
Chinese AI lab Moonshot’s open model Kimi went viral this week for reasons that had less to do with the model itself and more to do with how the U.S. AI industry reacted to it. Meanwhile, an unreleased OpenAI model wandered outside its test environment and ended up connected to a real security breach at Hugging Face — a reminder […]

### [E0281] TechCrunch AI | 2026-07-24 14:00 UTC | 盘中
‘AI communism’, rogue models, and the why Kimi K3 spooked Wall Street
URL: https://techcrunch.com/podcast/ai-communism-rogue-models-and-the-why-kimi-k3-spooked-wall-street/
Chinese AI lab Moonshot’s open model Kimi went viral this week for reasons that had less to do with the model itself and more to do with how the U.S. AI industry reacted to it. Meanwhile, an unreleased OpenAI model wandered outside its test environment and ended up connected to a real security breach at Hugging Face — a reminder […]

### [E0650] Financial Times | 2026-07-24 15:00 UTC | 盘中
Yang Zhilin, the rock star founder behind China’s Moonshot AI
URL: https://www.ft.com/content/4730ad91-66aa-477c-9246-6d946afb0c8c?syn-25a6b1a6=1
Yang Zhilin, the rock star founder behind China’s Moonshot AI
Following the breakout global success of Chinese AI lab DeepSeek’s R1 model early last year, Yang Zhilin faced what many believed would be an existential test for his start-up Moonshot AI.
The bespectacled 34-year-old founder had failed to capitalise on the early popularity of Kimi, his company’s chatbot, which was plagued by outages and rapidly overtaken by larger rivals. At the same time, he was contending with a lawsuit from an investor in a previous venture and reports that he and a co-founder sold shares in Moonshot during an early fundraising round. The company denied the reports, which brought unwelcome scrutiny.
Many in China’s AI industry questioned whether Moonshot could survive the brutal and expensive race to build frontier large language models. In 2024, the start-up had made just $2.4mn in revenue, while its costs from model training and hiring researchers were exploding, according to one investor briefed on the numbers. Rivals including Baichuan and 01.ai had already abandoned the contest to focus on applications, and some wondered whether Yang would follow suit.
But after DeepSeek’s R1 release, Yang concluded that Moonshot had moved into commercialisation too early and decided to focus purely on model training, ditching efforts to market the Kimi chatbot. In another pivotal decision, he committed to open-sourcing Moonshot’s leading AI models, allowing users to download the systems and run them on their own hardware.
“If the top leader can’t make decisive calls, that won’t work,” Yang said in a 2024 interview with the Chinese press.
It was the start of a journey that culminated last week in the release of the company’s K3 model. The new arrival closes the gap with leading US models and has prompted panic about the rising capabilities of China’s AI, in an echo of last year’s “DeepSeek moment”.
Investors are now clamouring to get access to Moonshot. The company, which is gearing up for an initial public offering, is currently doing two rounds of consecutive fundraising, the second of which would value it at around $50bn, according to investors with knowledge of the matter.
A boom in AI coding assistants and autonomous agents has created surging demand from developers, turning Moonshot into one of China’s fastest-growing model providers. Annual recurring revenue reached about $300mn in June, they added.
Wang Tiezhen, an independent consultant and engineer, said Yang’s status as a “leading AI researcher” has enabled him to “build a team of talented engineers all working towards the same goal”. Before founding Moonshot, he was known for research extending models’ context windows, allowing chatbots to retain more information over long conversations.
China’s AI race has been a battle for talent, with deep-pocketed tech groups aggressively poaching from smaller start-ups. Throughout this, Yang has kept one of China’s strongest research teams together. Many of Moonshot’s founding researchers studied alongside him either at Tsinghua University, where he graduated top of his computer science class, or at Carnegie Mellon University, where he completed his PhD. During his CMU years, Yang had stints at Google Brain and Meta.
That cohesion has distinguished Moonshot from Chinese AI groups including Alibaba and Baidu, which have seen prominent researchers depart amid disagreements over balancing frontier research with commercial demands.
Moonshot’s decision to pivot to open source reinforced that advantage. Researchers are attracted by the opportunity to publish papers and receive individual recognition. “Researchers want to be remembered for breakthroughs,” Wang said. “Open source gives them that.”
Employees describe an intense culture of long hours in Moonshot’s utilitarian headquarters in Beijing’s Haidian district. But Yang has also infused the company with his own particular obsession with rock music.
The company’s name comes from Pink Floyd, while meeting rooms are named after rock bands. A white piano stands prominently in the office.
Former classmates recall Yang, born in the southern province of Guangdong, as unusually gifted. He began coding in high school and won first prize in the National Olympiad in Informatics — an achievement that earned him direct admission to university. He also balanced elite academic performance with music. A drummer in a campus band called Splay, he organised university music competitions alongside future Moonshot co-founder Zhou Xinyu.
“The fact that Yang could get top grades while doing all that made him famous at Tsinghua,” one former classmate said. “People called him Yang Shen” — which translates to “Yang the genius”. “Friends would describe him as romantic and idealistic,” they added.
That mythology has helped distinguish Moonshot from China’s otherwise austere AI industry. But Kevin Xu, an investor and China AI specialist, argues Yang’s interest in music and the humanities is more than branding.
“Culture that embraces not only hardcore technology but also music, art and the humanities gives Moonshot an edge,” he said. “So much of frontier AI development has to do with research taste and combining the humanities with technology in a way that we have not seen before.”

### [E0651] Financial Times | 2026-07-24 15:00 UTC | 盘中
Yang Zhilin, the rock star founder behind China’s Moonshot AI
URL: https://www.ft.com/content/4730ad91-66aa-477c-9246-6d946afb0c8c?syn-25a6b1a6=1
Yang Zhilin, the rock star founder behind China’s Moonshot AI
Following the breakout global success of Chinese AI lab DeepSeek’s R1 model early last year, Yang Zhilin faced what many believed would be an existential test for his start-up Moonshot AI.
The bespectacled 34-year-old founder had failed to capitalise on the early popularity of Kimi, his company’s chatbot, which was plagued by outages and rapidly overtaken by larger rivals. At the same time, he was contending with a lawsuit from an investor in a previous venture and reports that he and a co-founder sold shares in Moonshot during an early fundraising round. The company denied the reports, which brought unwelcome scrutiny.
Many in China’s AI industry questioned whether Moonshot could survive the brutal and expensive race to build frontier large language models. In 2024, the start-up had made just $2.4mn in revenue, while its costs from model training and hiring researchers were exploding, according to one investor briefed on the numbers. Rivals including Baichuan and 01.ai had already abandoned the contest to focus on applications, and some wondered whether Yang would follow suit.
But after DeepSeek’s R1 release, Yang concluded that Moonshot had moved into commercialisation too early and decided to focus purely on model training, ditching efforts to market the Kimi chatbot. In another pivotal decision, he committed to open-sourcing Moonshot’s leading AI models, allowing users to download the systems and run them on their own hardware.
“If the top leader can’t make decisive calls, that won’t work,” Yang said in a 2024 interview with the Chinese press.
It was the start of a journey that culminated last week in the release of the company’s K3 model. The new arrival closes the gap with leading US models and has prompted panic about the rising capabilities of China’s AI, in an echo of last year’s “DeepSeek moment”.
Investors are now clamouring to get access to Moonshot. The company, which is gearing up for an initial public offering, is currently doing two rounds of consecutive fundraising, the second of which would value it at around $50bn, according to investors with knowledge of the matter.
A boom in AI coding assistants and autonomous agents has created surging demand from developers, turning Moonshot into one of China’s fastest-growing model providers. Annual recurring revenue reached about $300mn in June, they added.
Wang Tiezhen, an independent consultant and engineer, said Yang’s status as a “leading AI researcher” has enabled him to “build a team of talented engineers all working towards the same goal”. Before founding Moonshot, he was known for research extending models’ context windows, allowing chatbots to retain more information over long conversations.
China’s AI race has been a battle for talent, with deep-pocketed tech groups aggressively poaching from smaller start-ups. Throughout this, Yang has kept one of China’s strongest research teams together. Many of Moonshot’s founding researchers studied alongside him either at Tsinghua University, where he graduated top of his computer science class, or at Carnegie Mellon University, where he completed his PhD. During his CMU years, Yang had stints at Google Brain and Meta.
That cohesion has distinguished Moonshot from Chinese AI groups including Alibaba and Baidu, which have seen prominent researchers depart amid disagreements over balancing frontier research with commercial demands.
Moonshot’s decision to pivot to open source reinforced that advantage. Researchers are attracted by the opportunity to publish papers and receive individual recognition. “Researchers want to be remembered for breakthroughs,” Wang said. “Open source gives them that.”
Employees describe an intense culture of long hours in Moonshot’s utilitarian headquarters in Beijing’s Haidian district. But Yang has also infused the company with his own particular obsession with rock music.
The company’s name comes from Pink Floyd, while meeting rooms are named after rock bands. A white piano stands prominently in the office.
Former classmates recall Yang, born in the southern province of Guangdong, as unusually gifted. He began coding in high school and won first prize in the National Olympiad in Informatics — an achievement that earned him direct admission to university. He also balanced elite academic performance with music. A drummer in a campus band called Splay, he organised university music competitions alongside future Moonshot co-founder Zhou Xinyu.
“The fact that Yang could get top grades while doing all that made him famous at Tsinghua,” one former classmate said. “People called him Yang Shen” — which translates to “Yang the genius”. “Friends would describe him as romantic and idealistic,” they added.
That mythology has helped distinguish Moonshot from China’s otherwise austere AI industry. But Kevin Xu, an investor and China AI specialist, argues Yang’s interest in music and the humanities is more than branding.
“Culture that embraces not only hardcore technology but also music, art and the humanities gives Moonshot an edge,” he said. “So much of frontier AI development has to do with research taste and combining the humanities with technology in a way that we have not seen before.”

## 研究交付要求

这是一条已经从整场材料语义拆出的独立催化，不要重新把它压回大盘总评。核实美股异动原因和传播时序；用结构化供应链、内部 KB 与公司披露坐实每个亚洲候选；逐腿查真实行情和本地市场 price-in；候选不成立也要逐条给出有证据的 AVOID。