Self-monitoring doesn't scale (without these 3 countermeasures)

As AI models grow more capable, LessWrong researcher Morgan S questions whether basic self-monitoring can prevent collusion—where a model might hide bad behavior from its monitor. Recent incidents at OpenAI and reports from Anthropic suggest the risk may be real. The post proposes three defenses: honeypots to test the monitor's effectiveness, a trusted automated process to detect collusion signals, and methods to scrub suspicious patterns from model outputs. The argument: all three are necessary, because without any one, a skilled adversary could exploit the system.

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