Open Source · Anthropic · OpenAI · Bitcoin · China · AI Red-Teaming · Decrypt
'Bitcoin Is Burning': Red Team Turns to Chinese AI to Catch Flaws
Compiled by KHAO Editorial — aggregated from 2 sources. See llms.txt for citation guidance.
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The Bitcoin Red Team is using Chinese AI models to search nearly the entire Bitcoin open-source ecosystem for security flaws, according to pseudonymous developer and Red Team lead Calle.
Key facts
- In August, the group reported filing 4,962 findings across 390 projects, including 85 rated critical and 635 rated high severity
- The Bitcoin Red Team has also used Chinese developer Z.ai’s GLM 5.2, as well as models from OpenAI and Anthropic
- We’re experiencing a massive collision between decades of human open source slop against 2 weeks of Kimi K3,” Calle wrote Thursday on X
- The Bitcoin Red Team is using Chinese AI models to search nearly the entire Bitcoin open-source ecosystem for security flaws, according to pseudonymous developer and Red Team lead Calle
Summary
The Bitcoin Red Team is using Chinese AI models to search Bitcoin projects for security flaws. The volunteer group combines AI tools with human review to examine wallets, Lightning applications, software libraries, and other Bitcoin projects. “We’re experiencing a massive collision between decades of human open source slop against 2 weeks of Kimi K3,” Calle wrote Thursday on X. Kimi K3 is an AI model from Chinese startup Moonshot AI that developers can download and run on their own systems.