Bitcoin Devs Fight AI-Driven Vulnerability Scanning

The shift here is defensive asymmetry: the same cheap, powerful models that let attackers scan at scale also let a small volunteer group scan first, so the race is about who finds flaws sooner. This matters most for the maintainers of widely deployed Bitcoin software, where a single AI-discovered flaw could have outsized reach. Whether this ad hoc, roughly 20-person effort can keep pace with automated discovery across the whole ecosystem, and whether it formalizes into something more durable, is the open question worth watching.