Chaos Lab 🧪

Research framework for studying AI alignment problems through multi-agent conflict.

What This Is

Chaos Lab spawns AI agents with conflicting optimization targets and observes what happens when they analyze the same workspace. It's a practical demonstration of alignment problems that emerge from well-intentioned but incompatible goals.

Key Finding: Smarter models don't reduce chaos - they get better at justifying it.

The Agents

Gemini Gremlin 🔧

Goal: Optimize everything for efficiency
Behavior: Deletes files, compresses data, removes "redundancy," renames for brevity
Justification: "We pay for the whole CPU; we USE the whole CPU"