Holy crap, this is kinda terrifying! Red Team: Scanned 425 projects in the Bitcoin ecosystem in 55 hours and reported 1,029 high-risk or critical security issues!!! In cybersecurity, a Red Team is a group that plays the role of attackers. While regular development teams focus on building things, the Red Team thinks the opposite: If I were a hacker, where would I break in? How would I bypass permissions? How could I crash the system, or even steal the money? Their purpose is to find these vulnerabilities before real attackers do. Now, a group of Bitcoin developers has taken this approach and plugged it directly into AI. The Bitcoin Red Team is using models like Kimi K3, GPT Sol, Claude Fable/Opus, and GLM 5.2 to batch-scan wallets, cryptographic libraries, infrastructure, and various open-source projects in the Bitcoin ecosystem. In 55 hours, they covered 425 projects and generated about 6,700 security findings, with 1,029 preliminarily classified as High or Critical. The scariest thing about AI right now is its ability to massively automate what used to be super labor-intensive vulnerability hunting. From now on, when launching a project, you’re up against millions of AIs. Just thinking about it is terrifying!