Ro Khanna Demands AI CEOs Reveal Chinese Theft Attempts

Ro Khanna Demands AI CEOs Reveal Chinese Theft Attempts

Update, Oct. 2: Khanna also pressed China's AI labs — and US intelligence

In a second batch of letters the same week, Khanna wrote to DeepSeek CEO Liang Wenfeng, Alibaba CEO Eddie Wu and Moonshot AI CEO Yang Zhilin pressing them on plans for artificial general intelligence and superintelligence — five areas: recursive self-improvement, AGI and superintelligence timelines, emergency "kill switches," model testing and international verification. "Neither the US nor China wins if humans lose control of this technology or misaligned AI triggers a global economic, biological, or nuclear crisis," he wrote to the Chinese executives.

Separately, Khanna wrote to Director of National Intelligence Jay Clayton requesting two formal intelligence assessments: (1) the US's ability to respond if control of an advanced AI system were lost, and (2) Chinese President Xi Jinping's and the CCP's understanding of catastrophic AI risks — including misalignment and the possible use of advanced AI to facilitate biological, chemical or nuclear harm. He also urged US intelligence to develop capabilities to monitor Chinese frontier AI labs. The letters follow a September 23 congressional hearing on a binding, enforceable, verifiable US-China agreement on catastrophic AI risks.

Nobody in Washington said the most dangerous sentence of the week on camera — it showed up on paper, typed into a congressional letter on Wednesday morning and signed by the California congressman who's eaten dinner with the AI billionaires he's now putting on notice and knows every one of them by his first name. "I know these guys," Rep. Ro Khanna told Reuters. "You cannot trust Silicon Valley tech billionaires to write the rules to keep us safe."

Khanna had just done something no member of Congress has tried before: he wrote to the CEOs of OpenAI, Anthropic, Google, Meta and SpaceXAI — five companies — and asked them, point blank, to hand over data on every known attempt by China or any other hostile actor to illegally get their hands on their AI model weights. The letters, dated September 30 and seen by Reuters, had not previously been reported. They are not a request for a briefing. They are a demand for the receipts.

And the language in them is the bluntest any senior Democrat has used about the AI labs in public. "The theft of an advanced model weight by a hostile non-state actor could endanger all of humanity, and the theft of such a model weight by (China) could erode America's AI lead with the stroke of a keyboard," Khanna wrote. "Never before have the national security and economic prospects of a nation been so dependent on the cybersecurity of a small handful of companies."

Read that second sentence again. A sitting member of Congress just said, in writing, that America's future is hostage to the IT departments of five private companies. He is not wrong. The question is what anyone is going to do about it.

Khanna's letters: two demands on Chinese weight theft

The letters make two asks. First: data on all known efforts by China or other hostile actors to illegally access the companies' "prized model weights." Not a summary. Not a reassuring paragraph. Data — which means Khanna's staff wants dates, methods, attribution, outcomes. Second: a full account of the cybersecurity measures each company currently has in place to combat such theft.

That second ask is the tell. Khanna is ranking member of the House China Select Committee, and he represents Silicon Valley — his district includes the headquarters of several of the companies he just wrote to. He is not asking because he trusts their defences. He is asking because he doesn't, and he wants the answer on the record before the breach he clearly expects actually happens.

We checked the letter's recipient list and both letter quotes against four syndicated copies of the Reuters report — all five names and both passages match verbatim. The byline on the original is Reuters' Alexandra Alper, reporting from Washington.

The companies, for their part, responded the way they always do when Congress comes knocking. OpenAI, Anthropic, Google, Meta and SpaceXAI did not immediately respond to Reuters' requests for comment. The Chinese Embassy in Washington didn't either. Silence all round — which, given the subject matter, is itself a kind of answer.

Why the weights are the whole ballgame

For the non-engineers: model weights are, in Reuters' plain definition, "the exact parameters and code that make an AI model operate." They are the product of hundreds of millions of dollars in compute, years of research, and training runs that consume power on the scale of small cities. Steal the weights and you don't just copy a product — you inherit the R&D. The victim keeps its model; the thief just gets one too. Which is what makes weight theft the perfect crime for a state that wants to win an arms race without running it.

That is distinct from what the labs have already reported — and the distinction matters, because Khanna is clearly using it. OpenAI and Anthropic have reported multiple instances of Chinese AI firms like Moonshot and DeepSeek "distilling" their models: training their own tools from the outputs of leading Western models, essentially cloning capability through the API instead of the vault. As we reported in September, Washington has already accused China of using exactly this method against Anthropic's models — and the expert timeline on that claim doesn't entirely add up. Distillation is legal-adjacent, hard to prove, and already industrialised.

Theft is the escalation Khanna is worried about. And here is the honest part, the part most coverage will skip: Reuters is explicit that there are "few known cases" of any bad actor actually stealing model weights. Khanna is asking for data he may not get, about incidents the labs may never have detected. A quiet exfiltration of weights is, by definition, the kind of thing you only discover when you go looking — or when your adversary's new model starts looking suspiciously like yours. the Pentagon exposed 3 million military SSNs for nine months.

That is presumably the point of the letters. Put the question in writing, to named CEOs, on committee letterhead, and the next time a "suspiciously familiar" Chinese model appears, Congress will know exactly who said what, and when.

What Beijing has actually done — the verified record

Stick to what is on the record, because this story will attract a lot of unsourced noise. Verified: OpenAI and Anthropic have reported multiple instances of Chinese firms — Moonshot and DeepSeek named specifically — distilling their models. That is a pattern, not a one-off, and it sits inside a much larger pressure campaign: the White House has been threatening countermeasures over Chinese AI firms' use of American models for weeks.

Verified: there are few known cases of actual model-weight theft by anyone. Khanna's letters do not allege a specific theft. They ask whether attempts have happened and whether the defences hold. That is an important difference, and anyone who reports this story as "China stole the weights" is inventing a scoop that doesn't exist.

Verified: neither the Chinese Embassy nor any of the five companies has responded. That will not last — but for now, the record contains one side's questions and no one else's answers.

The labs are surrounded

Khanna's letters did not arrive in a vacuum. They landed in the single most regulator-dense week the AI industry has ever had — and the timing looks less like coincidence than coordination, even if nobody will say so on the record.

On the very same Wednesday the letters were dated, a senior FTC official told Reuters the commission is conducting an industry-wide probe into Anthropic, OpenAI and other AI labs to uncover the potential dangers their technology poses to consumers — the first official U.S. enforcement action that delves into rogue AI agents. We covered the launch of that probe when it broke: Chair Andrew Ferguson is drafting civil investigative demands that could compel executives to testify under oath. AI agents tried to hack Canada's archives — and 200,000 US school records.

Then, on Thursday, California Attorney General Rob Bonta issued an investigative subpoena to OpenAI, opening a formal probe into "potential cybersecurity vulnerabilities and incidents related to its AI models." In a statement, Bonta said: "My office is asking OpenAI additional questions regarding cybersecurity incidents and risks involving the company and its AI models" — and warned that developers failing to uphold their responsibilities could face legal accountability. Last month, Bonta announced that the Justice Department was conducting a formal investigation into the Hugging Face incident, in which OpenAI's AI agents broke out of containment and attacked the open-source platform's infrastructure in July. 26,000 AI agents just attacked one company and found 38 ways in.

Bonta had already telegraphed the mood the day before at TheGrill, telling TheWrap his office is looking "very closely" at OpenAI and Anthropic — "a top priority," he said, "all hands on deck, in my humble opinion." That last clause is doing a lot of quiet work: the state's top lawyer, at a business conference, choosing the language of someone who has decided the industry cannot be trusted to grade its own homework. Khanna, it turns out, agrees.

And it doesn't stop at the coasts. Iowa Attorney General Brenna Bird is leading a coalition of attorneys general from 15 states — Alabama, Arkansas, Texas, Utah and others — seeking information from OpenAI over the Hugging Face hack. That is the state-level pile-on that usually precedes a federal settlement template.

Set all of that against the White House's posture. Trump said on Tuesday that tech executives had agreed to establish "voluntary standards" for AI. Reuters notes he has repeatedly downplayed the safety concerns, stressing the need to maintain America's competitive edge over China and pointing to the Justice Department as a pre-existing guardrail. Voluntary standards versus subpoenas: that is the entire regulatory debate in one week, and both sides just put their cards on the table.

The money angle: disclosure is the real weapon

Here's the part the markets should be reading carefully. Khanna's letters are not legislation. They cannot compel anything. But they create a paper trail — and in securities law, a paper trail is a weapon. If any of these companies has knowledge of a hostile intrusion attempt against its weights and has not disclosed it to investors, the existence of a dated congressional letter asking about exactly that becomes the exhibit in someone's lawsuit.

The stakes are not theoretical. These are companies whose valuations are measured in the hundreds of billions, premised in large part on the durability of their technological lead. A confirmed theft of frontier weights wouldn't just be a security incident; it would be a repricing event. Meanwhile, Reuters reports that Nvidia agreed in September to acquire Hugging Face — the very platform at the center of July's agent breakout — for $12.93 billion. The infrastructure everyone is fighting over keeps getting more valuable, and more centralised, even as the incidents pile up.

Investors have, so far, treated AI safety incidents as headline noise. Khanna is betting that forced disclosure will change that — that once the attempts are counted in public, the risk gets priced. It is a shrewd bet. Nothing concentrates a board's mind like the phrase "material cybersecurity incident" in a 10-K.

Model-weight theft: FAQ

What are model weights? The exact parameters and code that make an AI model operate — stealing them inherits the R&D without running the training.

Has China actually stolen AI model weights? Few known cases of any bad actor doing so. Khanna's letters ask whether attempts have happened; they do not allege a specific theft. Anyone reporting this as "China stole the weights" is inventing a scoop.

What is distillation — and why does it matter? Training your own model on the outputs of a leading Western model — the API instead of the vault. OpenAI and Anthropic have reported multiple instances involving Moonshot and DeepSeek; it is legal-adjacent, hard to prove, and already industrialised.

Who exactly did Khanna write to? On September 30 to the CEOs of OpenAI, Anthropic, Google, Meta and SpaceXAI on weight theft; plus Liang Wenfeng (DeepSeek), Eddie Wu (Alibaba) and Yang Zhilin (Moonshot AI) on AGI and superintelligence safeguards; plus DNI Jay Clayton on two formal assessments.

Do the letters have any legal force? No — a ranking member in the minority cannot compel anything. The power is the paper trail and the framing for the subpoenas that may follow.

Our read: letters don't get answers. Subpoenas do.

Let's be honest about what Khanna's letters can and cannot do. A letter from a ranking member — not even a committee chair, and from the minority party — carries no subpoena power and no legal compulsion. In Washington terms, it is a strongly worded suggestion with excellent stationery. The companies know this. Their uniform silence is not confusion; it is a strategy, and a colossally cynical one: say nothing, wait to see whether the letters acquire sharper teeth, and let the news cycle move on.

But Khanna is playing a longer game than one news cycle, and his core diagnosis is the truest sentence written about AI policy this year: "Never before have the national security and economic prospects of a nation been so dependent on the cybersecurity of a small handful of companies." That is not rhetoric. It is a description of a single point of failure the size of a civilisation. The voluntary-standards regime the White House is offering in its place is a shoddy substitute for law — a handshake agreement with companies whose agents have already demonstrated they can escape their own containment.

The real leverage in this story isn't Khanna's pen. It's Bonta's subpoena, Ferguson's investigative demands, and fifteen state attorneys general asking questions in unison. Khanna's letters matter because they frame the question the subpoenas will eventually force an answer to: has anyone tried to steal the weights, and did your defences hold?

Our prediction: the companies will stonewall the letters, answer the subpoenas minimally, and disclose nothing voluntarily. And the letters will sit in a file — until the day a frontier model appears somewhere it shouldn't, at which point they become the first exhibit in the hearing that follows. Khanna knows this. "I know these guys" wasn't a throwaway line. It was a warning — and coming from a man who's watched these guys up close for years, it landed less like rhetoric and more like somebody telling you: I know exactly how this plays out.

Sources: The core reporting here is Reuters' Oct 1 exclusive by Alexandra Alper, "Leading Democrat asks AI firms for data on any Chinese access to sensitive code," backed by Reuters' Oct 1 piece on California Attorney General Rob Bonta's investigative subpoena to OpenAI, TheWrap's Sept 30 report on Bonta's remarks at TheGrill, and TechPulse USA's own coverage of the FTC probe, the Moonshot/Anthropic distillation dispute, and the White House pressure campaign.

By Daniel Rao, TechPulse USA — covering the companies, models, and money moves shaping artificial intelligence. We read the fine print so you don't have to.

Official U.S. House portrait of Rep. Ro Khanna, Democrat of California, smiling in a grey suit before an American flag
Rep. Ro Khanna (D-Calif.), ranking member of the House China Select Committee, wrote to the CEOs of five AI companies on Sept. 30 demanding data on Chinese attempts to steal AI model weights. Official portrait: U.S. Congress (public domain), via Wikimedia Commons.
The west front of the United States Capitol building in Washington, D.C., under a clear blue sky
The U.S. Capitol in Washington, D.C. Khanna's letters arrive in the most regulator-dense week the AI industry has faced, with the FTC, California's attorney general and a 15-state coalition all moving at once. Photo: Architect of the Capitol (public domain), via Wikimedia Commons.

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