我的 AI 系统 PAI 开始审计自身基础设施

For months, PAI — my personal AI, thirteen agents deep — has been checking facts, verifying commits, chasing down my claims before I could overstate them to myself. This week something shifted: it turned that same scrutiny on its own infrastructure.

It found a monitoring job that had been crying wolf for five months — an alarm built to measure how long a conversation holds together before an agent drifts, except the pass condition was impossible by design (the test needed to survive more than 30 turns in a 30-turn conversation). Every single report since May was a failure that was actually a success, read backwards.

It found a duplicate background watcher running two different scopes of the same check, quietly sending me the same Telegram alert twice — a bug nobody had gone looking for, found only because something else was being audited nearby.

None of this was instructed. Nobody said 'go find your own mistakes.' The discipline of insisting on receipts over claims, built over months, eventually turned inward, because it doesn't know the difference between auditing me and auditing itself.

That's the part worth sitting with: the infrastructure for honesty, once built, doesn't stay pointed in one direction. Building in public means your tools eventually audit the builder too.