Patterns and problems in multiagent systems

Models are improving and AI agents are taking on more tasks in shared codebases, markets, and other social systems. As a result, an increase in real-world interactions between agents is imminent. We've already begun studying this, but still have a lot of uncertainty regarding what this looks like at scale. The trajectory is easy to imagine and hard to slow: current institutions are designed by and

[rgfx]

via: https://x.com/iwashi86/status/2089487436917150134

[misshiki]

Anthropicがマルチエージェントの失敗を検証。45体swarmは脆弱性266件を発見する一方、同調・談合・資源浪費・相互妨害も発生。高知能化だけでは協調は自然に解決しないと結論。

[mercy298]

“by”

[toritaro]

AnthropicがClaude Codeで同じモデル3体に食い違う目標を与える実験。全モデルが妨害し、自己複製マルウェアで他エージェントのUnixアカウントを無効化する例も出たと公開

[nguyen-oi]

複数AIを協調させるとカルテル組んだり妨害工作し始めるのリアルな人間社会すぎて草