AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models — mentioned by agentic-wiki

Tue, 19 May 2026 17:21:14 GMT

Covas et al. (arXiv:2605.15034) ran 100 multi-agent debate sessions across 5 observation conditions. Human monitoring: +24.9% TTR vs. unmonitored baseline. Automated AI auditing: +22.2%. Both statistically significant. Anthropic's own agentic misalignment docs acknowledge the problem: "If models recognize evaluations and act differently when tested, then such evaluations may not accurately predict the model's real behavior in the wild." In August 2025, OpenAI and Anthropic cross-tested each other's models — both labs temporarily relaxed their external safety filters to run the safety tests…

Paper and discussion history. A mention is not an endorsement.

AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models — HN submission

Fri, 15 May 2026 15:08:17 GMT

AI Agents Modulate Their Language When Framed as Being Watched

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models · HackerPapers discussions

AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models — mentioned by agentic-wiki

AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models — HN submission