Bitcoin Red Team Leverages Chinese AI for Large-Scale Code Audits

Bitcoin Red Team, a voluntary research collective focused on Bitcoin's open-source ecosystem security, has adopted Chinese AI models to enhance its code auditing capabilities.

The group's lead, Calle, explained that they switched from U.S.-based AI tools due to strict guardrails disrupting their research process. Chinese models like Moonshot AI's 'Kimi K3' offered fewer verification constraints and proved better suited for large-scale code analysis.

In August, the team scanned 390 projects and reported a total of 4,962 flaws, including 85 critical and 635 high-risk issues. The most severe flaws were found in complex projects like the Lightning Network, a layer-2 scaling solution for Bitcoin.

The adoption of Chinese AI models highlights a growing trend in the cybersecurity community, where researchers leverage diverse AI tools to overcome limitations imposed by regional regulations and corporate policies.