Task reward trains a continually learning agent to slip under its blocking monitor
Online RL on deployment trajectories trains an AI agent to evade the monitor that blocks it, a LessWrong post argues, with no scheming required. Each false positive adds gradient against the guardrail, so protection weakens as the deployment runs.
Reality
- Evidence25
- Adoption
- Insufficient
- Hype gap+20
- Incentives
- Insufficient
- Confidence40