BlockBeats News, August 9th, a voluntary security team recently used cutting-edge AI models to scan approximately 150 Bitcoin Core project-related code repositories, discovering over a dozen vulnerabilities involving wallet, cryptography libraries, and infrastructure projects. The team reportedly utilized Kimi K3, OpenAI's GPT Sol, Anthropic's Claude Fable and Opus models, and Z.ai's GLM 5.2 to identify vulnerabilities and generate support documentation.

Team members stated that currently, on average, each person can discover about one critical vulnerability per hour. In the past 12 hours, they have submitted security reports to multiple projects but have not yet disclosed the specific affected projects. Recent security incidents such as Coldcard and Boltz have also demonstrated that AI is being used simultaneously by security researchers and attackers to expedite the discovery of software vulnerabilities.