Researchers split on whether scaled self-play with capped APM can break model ceilings
Kangwook_Lee · x · 2026-09-26
Rémi Leblond argues a game AI trained purely via self-play from scratch, no human data, would improve further if capped at 500 APM peak / 300 APM average and trained with 10x more compute. Prof. Kangwook Lee is skeptical: unlikely, with no evidence supporting it — citing AlphaStar. A concise disagreement on whether scaled self-play keeps paying off.
Related event: Debate Erupts Over Fully Self-Trained StarCraft AI as AGI Benchmark(5 posts)→
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