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Bitcoin
2026-08-13 16:18:45

Bitcoin Security Researchers Say Restricted U.S. AI Models Are Falling Behind Chinese Open Models

Bitcoin security researchers, company founders, and policy advocates are publicly warning that restrictions on leading U.S. AI systems are making legitimate defensive cybersecurity work harder, while Chinese open-source models are producing usable results. Rob Hamilton of AnchorWatch said OpenAI blocked him from analyzing a codebase he had already responsibly disclosed, even after he joined the company’s trusted cyber program and had completed KYC months earlier. He later said he was cut off again within 19 minutes after receiving access to OpenAI’s Daybreak Blue cyber model. Francis Pouliot of Bull Bitcoin said Chinese open models helped identify and patch a money-stealing exploit in a project he was auditing, while American models he pays for refused to review the same patch. Similar complaints came from Bitcoin Core contributor PortlandHODL and Galaxy research head Alex Thorn, who backed a Bitcoin Policy Institute open letter calling for trusted access to frontier AI models for qualified open-source defenders. Published on August 10 and signed by more than 70 digital-asset organizations, the letter asks AI labs for early access to cyber-capable systems, enough compute, secure code-review environments, and direct contact with lab security teams. The pressure intensified after a Coldcard firmware flaw, exploited from July 30, led to the theft of well over $100 million in bitcoin. Since then, the volunteer Bitcoin Red Team says it has scanned 501 projects and logged 7,958 findings, including 1,280 high or critical issues, with most compute spend going to Chinese open-weight models.

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Bitcoin Security Researchers Say Restricted U.S. AI Models Are Falling Behind Chinese Open Models