Prof. Kangwook Lee: no SC/SC2 agent hits semi-pro level under hard API limits without micro-cheating
Kangwook_Lee · x · 2026-09-26
AI researcher Kangwook Lee (professor at UW-Madison) argues that there is still no evidence of any model playing SC/SC2 at decent semi-pro level under hard API limits, behavior-cloned bootstrapped or not.
- In his view, both AlphaStar and the recent agent heavily rely on micro-cheating (exploiting API-level advantages over human micro).
- Responding to the point that AlphaStar was bootstrapped via human behavior cloning while the new one wasn't, he holds the objection stands regardless.
- He remains open-minded: if 10x compute made it work, he'd love to see it — but current evidence doesn't support it.
Related event: Self-play StarCraft AI sparks debate over AGI benchmark claims(5 posts)→
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