GPT-6 Astra Clears All 25 ARC-AGI-3 Games, Hitting ~80% of Optimal Play
i_dg23 · x · 2026-09-13
- Mike Knoop discusses the limits of RSI: intelligence isn't an unbounded scalar; it can be measured as decision quality vs. optimality, capped at 100%. Astra is already 80% optimal on ARC v3 speedruns.
- Context: on the 25 public ARC-AGI-3 games, GPT-6 Astra scored 100% using a new provider adapter harness (preserving opaque reasoning across requests, enabling auto-compaction), compared against human baselines and best-known fewest-action runs.
- Knoop sees two near-term areas where RSI matters: horizontal data acquisition (automating data generation to fill knowledge gaps in weights) and efficiency/cost (far from optimality, ideal for autoresearch — cheaper models enable even more autoresearch).
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