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@TheINAOG

@TheINAOG
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마침내 @typesafeai에 액세스할 수 있게 되었습니다(감사합니다!) Jev + 에뮬레이터 예측은 Super Mario Bros. 1-1을 0.04$만 클리어했습니다. 이 설정에서 Jev는 픽셀을 볼 수 없습니다. RAM을 구조화된 상태, 시뮬레이션된 제어로 구문 분석했습니다.

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Finally I got access to @typesafeai (thank you guys!) Jev + emulator lookahead cleared Super Mario Bros. 1-1 only 0.04$. In this setup, Jev sees no pixels: I parsed RAM into structured state, simulated controller macros, filtered predicted deaths, and let Jev choose. Recorded the run; resumed from the same state after an API outage. The tradeoff: RAM gives precise, auditable observations, but my adapter is game-specific. Bypassing vision makes this experiment easier; it doesn’t solve perception for general game agents. The potential is Jev as a tactical decision layer over structured observations and predicted outcomes. Caveat: 1-1 is easy for RAM + search. Next: Jev vs a cheap heuristic on identical simulations. Does the model actually earn its place?
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