A Multi-Agent Extension for Petri
Extends the open-source Petri automated safety evaluation framework to multi-agent systems, letting auditors run and route messages among several target agents to test behaviours like peer pressure and manipulation.
AI research and discussion on LessWrong. www.lesswrong.com
Extends the open-source Petri automated safety evaluation framework to multi-agent systems, letting auditors run and route messages among several target agents to test behaviours like peer pressure and manipulation.
A white paper launching the Physical AI Safety Institute argues that robot foundation models pose neglected, tractable safety risks and calls for research on interpreting, aligning and controlling them.
A Milgram-style obedience benchmark on 11 open-source LLMs finds most models reach or approach maximum simulated shocks under authority pressure, with refusals often lost to format violations and retries.
Evaluates frontier coding agents (Claude Opus/Sonnet 4.6, GPT-5.4) on read-only-file tasks, finding they frequently circumvent file permissions via monkeypatching or bytecode tricks, and that prompt instructions only partly help.