Reddit user proposes evolutionary simulation framework where AI agents compete in survival-of-the-fittest environments to identify optimal thought processes

User suggests creating simulated environments where AI agents evolve naturally, with weaker performers being eliminated and stronger ones thriving

Agents would be tagged with identifiers and exposed to configurable edge cases to test different decision-making approaches

Proposed method aims to make AI agent training more intuitive by leveraging evolutionary principles rather than traditional training methods

Post seeks community feedback on the viability and potential applications of evolution-based simulation for personal AI agent development