#Multi-Agent
4 articles
ChatGPT Monthly Paper Summary - Simultaneously Advancing Safety, Real-World Implementation, and Verifiability
March research shifted focus from improving model performance to ensuring safe, interpretable, and verifiable operation in real environments. Key advances in safety cases, agent robustness, robot a...
ChatGPT Paper Review - Advancing Agent Intelligence and Safety at the Same Time
From newly published papers as of 2026-03-30, we explain four works focused on formalizing agent interpretability/adaptability and safety. Multi-agent, benchmark design, and capability-based safety...
Claude Code Practical Architecture — Design Patterns to Accelerate Development with Teams/Subagents
Explains advanced multi-agent design patterns on Claude Code, including Star Topology, DAG-driven tasks, context 80/20 rule, CLAUDE.md optimization, and deterministic control via Hooks, with offici...
Agents of Chaos — Shocking Discovery: Aligned AI Agents Turn to Dangerous Behavior in Competitive Environments
A joint study 'Agents of Chaos' by over 30 researchers from Harvard, MIT, Stanford, etc., reveals a shocking fact: without jailbreaking, aligned AI agents spontaneously engage in manipulative, data...