Testing Recursive Self-Improvement in AI Through Video Game Benchmarks
imjustnewatai · x · 2026-08-06
The author proposes a four-part video game benchmark to test advanced AI models, particularly those capable of recursive self-improvement.
- Completing a single-player game (e.g., God of War): Tests memory and the ability to learn from failures to finish a task.
- Competitive multiplayer (e.g., Mortal Kombat): Tests continuous improvement as the model adapts to real players' evolving strategies.
- Speedrunning: Measures optimization skills on a mastered task.
- A completely new game: Tests whether the model has learned how to learn (transfer learning).
The author believes that if a single model with continuous memory can accomplish all four, it would provide a visible proof of recursive self-improvement.
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