AI Discovers Ethereum Validator Bug But Generates False Positives Too

The Ethereum Foundation deployed coordinated AI agents to audit the software used by its network validators. The AI successfully identified a remotely triggerable crash bug that could take validators offline. However, alongside the genuine finding, the AI also produced numerous confident and well-written reports that turned out to be false positives rather than real vulnerabilities. Human experts were ultimately required to verify and distinguish the actual bug from the fabricated findings. The exercise highlights both the promise and current limitations of AI-driven security auditing in blockchain infrastructure.
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