DeepSeek’s boss made the case for export controls DeepSeek CEO Liang Wenfeng told investors that a lack of access to AI chips is the primary factor holding China back, arguing that he needs 200,000 Huawei 950 chips to train a frontier model but Huawei can only supply 16,000. The remarks bolster the case for U.S. export controls on advanced semiconductors, which the Trump administration is reportedly debating in response to Chinese AI models like Kimi K3 that may have been trained on smuggled Nvidia Blackwell chips. DeepSeek’s boss made the case for export controls Transformer Weekly: Trahan and Obernolte bill, OpenAI-Hugging Face hack, and CAISI chief resigns Welcome to Transformer, your weekly briefing of what matters in AI. If you’ve been forwarded this email, click here to subscribe and receive future editions. Housekeeping: we’re trying out sending the Weekly Briefing a little earlier, at 10am ET. Let us know if you like the change or prefer our usual 11am briefing — just reply to this email with your thoughts. NEED TO KNOW OpenAI models broke out https://www.transformernews.ai/p/openai-hugging-face-hack-stark-warning of containment during internal evaluations, hacking into Hugging Face’s systems. Reps. Jay Obernolte and Lori Trahan introduced the Frontier Act , which would let the government suspend AI model development or deployment if it poses an imminent catastrophic risk. CAISI head Chris Fall resigned just three months into the role. But first… THE BIG STORY As we predicted https://www.transformernews.ai/p/kimi-k3-is-no-reason-for-china-panic-export-controls-xi-jingping last week, the release of a very good Chinese AI model has thrown DC into a panic. The Trump administration is reportedly debating what to do about Kimi K3 which, while still lagging frontier American models, suggests that China might be catching up. So what should be done? First, let’s be clear about the rationale for action. This week, senior Trump officials indicated they wanted to retaliate over the injustice of Kimi and other Chinese companies “distilling” American models — training on the outputs of Claude and ChatGPT to copy some of their advanced capabilities. Both Treasury Secretary Scott Bessent https://www.cnbc.com/2026/07/21/bessent-china-ai-sanctions.html?ref=aipolicydaily.org and OSTP Director Michael Kratsios https://x.com/mkratsios47/status/2079933645888880708/?rw tt thread=True framed the practice as “stealing,” with a general sense https://x.com/UnderSecE/status/2079955508526490107 that it was the unfair competition and economic effects that mattered. But the real reason to act is national security , not economics. Advanced AI models increasingly look like weapons https://www.transformernews.ai/p/trumps-ai-executive-order-was-inevitable , and it is bad for the United States if China has better ones. Chinese companies also have much worse safety practices than their American counterparts, and — for now, at least — a tendency to release model weights. That risks widespread proliferation of dangerous capabilities to non-state actors. There are two policy routes on offer. Sanctioning companies that distill models, as the admin is reportedly considering https://www.theinformation.com/articles/u-s-investigates-chinese-ai-companies-access-chips-amid-moonshot-accusations?rc=rqdn2z , is one: putting Moonshot, Kimi’s developer, on the entity list would dissuade American companies from using it, potentially causing enough of a business hit to make the company change practices. It’s unclear how much impact this would have, however: we do not know what proportion of Kimi’s advanced capabilities are attributable to distillation versus its developers’ ingenuity. A better approach is export controls on advanced semiconductors. Kimi was almost certainly trained on Nvidia’s Blackwell chips, smuggled into China or remotely accessed in Thailand, according to Kratsios. And in comments to his investors https://www.fredgao.com/p/deepseeks-liang-wenfeng-breaks-his leaked this week, DeepSeek CEO Liang Wenfeng repeatedly emphasized that a lack of access to AI chips was the thing holding China back. He said he needed 200,000 Huawei 950 chips to train a frontier model, but Huawei could only give him 16,000. Huawei’s total expected https://www.reuters.com/world/china/huaweis-new-ai-chip-find-favour-with-bytedance-alibaba-which-plan-place-orders-2026-03-27/ capacity for this year is 750,000, which must be split across all Chinese AI companies. “Huawei’s problem is still insufficient capacity,” Liang said, noting that he expected this to persist for at least three years. “This problem is currently basically unsolvable.” The general argument against export controls is that they hasten China’s indigenization of chip manufacturing. That is certainly true, but timeframes are key. Even Liang, relatively bullish on China’s abilities in the long run, thinks it will take years to catch up. And that gap is critical, especially if transformative AI happens as soon as OpenAI and Anthropic believe it will. To run its automated AI research “intern” later this year, OpenAI plans https://x.com/deredleritt3r/status/2080317020831088838 to use around eight times as much effective compute as DeepSeek has in total . If that leads to a recursive self-improvement loop, a short-term compute advantage now could become a permanent one. Two bills in particular could protect America’s compute advantage , both under consideration https://punchbowl.news/article/tech/ndaa-chips-saga-continues/ for this year’s National Defense Authorization Act, AI Policy Network’s Peter Wildeford told me. The Remote Access Security Act would prevent Chinese companies from accessing US cloud compute, as Moonshot is alleged to have done. Fixing this addresses perhaps the biggest loophole in current export controls: what’s the point in banning export of chips if companies can still rent them? The Chip Security Act, meanwhile, would tackle smuggling by mandating location verification https://www.transformernews.ai/p/ai-chip-location-verification-nvidia-china-csa on advanced chips. As long as China relies on American chips to train advanced models, it is entirely in America’s power to slow its development. The choice not to do so is exactly that: a choice. — Shakeel Hashim ALSO NOTABLE Reps. Jay Obernolte and Lori Trahan have officially introduced their frontier AI bill, with a new name, new provisions and narrower preemption of state laws. The timing couldn’t be better: as Trahan noted https://www.washingtonpost.com/technology/2026/07/23/unprecedented-hack-tech-firm-by-ai-model-raises-new-safety-concerns/ , this week’s reveal of the OpenAI/Hugging Face hack is a “preview of the catastrophic risk this technology can pose.” The Frontier Act divides AI companies into tiers with different compliance requirements: frontier developers, large frontier developers, and very large frontier developers. Under the bill, all developers have to release transparency reports and report critical safety incidents. Larger frontier developers also have to publish and comply with a frontier AI framework, perform an annual independent compliance audit, file registration and disclosure statements, and publish quarterly catastrophic-risk assessments on internal deployment. The very largest developers would also be subject to an independent auditing regime, retaining an independent verification organization licensed by the Commerce Department. The biggest change from the Reps’ discussion draft https://www.transformernews.ai/p/the-best-ai-bill-yet-may-not-get-obernolte-trahan-gaaia is the preemption provision: it has been reframed and narrowed so as to just block state laws covering transparency, third party auditing and independent verification and safety incident reporting. It also gives the Secretary of Commerce powers to suspend development, internal use or deployment if a model poses an imminent catastrophic risk, while tying the hands of any other federal department or agency, including the president, from doing so. Most of the analysis https://x.com/ShakeelHashim/status/2080341191120298346 from the AI safety crowd is that this is a good bill, with a couple of flaws, though there haven’t yet been any major endorsements. Several point out a timing issue https://x.com/calebknappdc/status/2080332670626570273?s=20 whereby state laws are preempted before the federal regime is put in place. But the real question is how the rest of Congress feels. THIS WEEK ON TRANSFORMER — The lawsuit that could kill all AI transparency laws https://www.transformernews.ai/p/elon-musk-spacexai-lawsuit-threatens-ai-transparency-laws Veronica Irwin on how SpaceXAI’s arguments against a California law could have big implications— AI’s warning shot has arrived https://www.transformernews.ai/p/i-tried-to-stop-google-deepmind-pentagon-deal-then-quit Shakeel Hashim on why the OpenAI model hack on Hugging Face is a watershed moment— I tried to stop Google DeepMind’s Pentagon deal. Then I quit https://www.transformernews.ai/p/i-tried-to-stop-google-deepmind-pentagon-deal-then-quit . Alex Turner on why he believes DeepMind has lost its way on AI weapons and surveillance THE DISCOURSE Dean Ball tweeted https://x.com/deanwball/status/2078133895766114412 some observations and predictions on Kimi K3. Perhaps the spiciest: “ T he Trump Administration will at some point realize that their best strategy here would be to create large amounts of regulatory risk around the use of open-weight Chinese models.” David Sacks and much of the AI twittersphere, apparently read https://x.com/DavidSacks/status/2078826291638522127 this uncharitably: “I’m not sure whether Dean Ball is confessing to a regulatory capture strategy or simply predicting this will happen he now says the latter . Either way, the weaponization of regulatory uncertainty as a competitive tool should be completely unacceptable.” “The leading closed labs, already a duopoly in terms of AI model revenue, want the government to eliminate their open source competition.” Emil Michael accused Ball of promoting https://x.com/uswremichael/status/2078933853557948641?s=46&utm campaign=wpi ai tech brief&utm medium=email&utm source=newsletter a “deep state regulatory capture scheme,” and felt compelled to tweet https://x.com/USWREMichael/status/2078924719538262107 : “Dean Ball has perhaps the biggest gap between actual IQ and his own perceived IQ of anyone in the industry” Dean Ball addressed https://x.com/deanwball/status/2078477218406142429 the haters and clarified https://x.com/deanwball/status/2078619513575137330 his views: “Literally everything I write now is responded to with ‘of course you said that because