Bitcoin Leaders Turn to Chinese AI Amid U.S. Cybersecurity Model Restrictions

In a significant shift, leaders within the Bitcoin industry are publicly expressing their reliance on Chinese AI models for cybersecurity, as they face crippling restrictions from U.S. systems like OpenAI and Anthropic. Rob Hamilton, CEO of AnchorWatch, highlighted the challenges he encountered when attempting to use OpenAI's cybersecurity tools, which resulted in being blocked from further analysis of a codebase he had already disclosed. This has led him to revert to using Chinese open-source models for his research.

Francis Pouliot, founder of Bull Bitcoin, echoed Hamilton's sentiments, criticizing the limitations imposed by American AI firms and emphasizing the effectiveness of Chinese models in identifying vulnerabilities. He noted that a Chinese open-source model successfully pinpointed a money-stealing exploit in a project he was auditing, while the American models he had access to refused to assist.

As the Bitcoin industry grapples with cybersecurity threats, particularly following a significant exploit in Coldcard hardware wallets, a volunteer group known as the Bitcoin Red Team has emerged. This team has conducted extensive audits of Bitcoin's open-source repositories, primarily utilizing Chinese models, which have proven to be more effective than their U.S. counterparts.

The Bitcoin Policy Institute has also voiced concerns, urging frontier AI labs to establish trusted-access programs for open-source defenders. The letter, signed by over 70 organizations, argues that current restrictions leave legitimate security researchers without access to the most capable models, forcing them to rely on less effective alternatives.

As the debate continues, experts warn that the reliance on Chinese models could threaten the U.S. AI market if American firms do not adapt to the needs of cybersecurity researchers.