Bitcoin Red Team uses Chinese AI to study security flaws across Bitcoin ecosystem

Bitcoin Red Team, a voluntary research group focused on finding security flaws across the broader Bitcoin open-source ecosystem, is actively using Chinese AI models including Moonshot AI’s "Kimi K3," leader Calle said. Calle said the group turned to Chinese models after strict guardrails on U.S. AI models disrupted the research process, adding that the alternatives involved fewer verification constraints and were better suited to large-scale code analysis. The group scanned 390 projects in August and reported a total of 4,962 flaws. Of those, 85 were classified as critical and 635 as high risk. Calle said open-source code built up over decades is colliding with AI-driven verification work, and added that flaws are more severe in complex projects such as the Lightning Network. Calle also said Bitcoin is currently under strain, but these powerful AI audits will ultimately make the Bitcoin ecosystem more resilient.