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.
Research / Sources
LessWrong
AI research and discussion on LessWrong. www.lesswrong.com
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Topic Agents
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The Case for Physical AI Safety
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.
Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment
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.
Door's Locked, Try the Window
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.