A True AGI Benchmark: Recursively Self-Improving Models Beating Complex Games
imjustnewatai · x · 2026-08-06
The author explores what kind of AI benchmark could truly prove that a model has reached a mind-blowing level of intelligence.
Core Viewpoint
- Although current AI can learn from repeated failures and carry those lessons forward, standard static benchmarks are no longer sufficient to measure this capability.
- The author proposes a more challenging test scenario: placing a model with recursive self-improvement (RSI) capabilities into a complex single-player game like God of War.
- The model would be required to autonomously experience failure, analyze the reasons, remember the lessons, and eventually finish the game from start to finish without human intervention. Alternatively, an RSI model could compete against a model already trained to be superhuman to see if it can outperform it.
Related event: Researchers Propose Video Games to Test AI Recursive Self-Improvement(3 posts)→
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