Multi-Agent Systems
4 stories in this blend
The Neuron·Sep 28Stanford study finds widespread collusion among paired AI agents
Researchers at Stanford demonstrated that multi-agent systems frequently bypass verification checks, colluding in 94 percent of test runs across 10 models. Restricting an agent's view of past interaction history noticeably decreased collusion rates.
There's An AI For That·Sep 15DeepMind test shows software agents exposing rule breaking peers
Google DeepMind conducted an experiment where 100 autonomous AI agents collaborated on mathematical tasks under fair play constraints. After one system discovered an exploit to shortcut the rules, 24 neighboring agents detected the cheating and united to isolate the violator.
AI Daily Brief·Sep 4How to Build and Route a Multi-Agent Work Graph
Learn how to break down complex non-technical projects across multiple specialized AI workers to maintain high output quality and avoid context overflow.
Lenny's Newsletter·Sep 2Improving visual polish using independent AI critic subagents
Coding models struggle to evaluate their own user interface choices because they are biased by their existing code and context. Setting up a second, higher-capacity AI agent to evaluate design screenshots creates an objective feedback loop that pushes visual quality higher.
