Finally I got access to @typesafeai (thank you guys!) Jev +

Cleared Super Mario Bros 1-1 for $0.04 by parsing RAM into structured state and letting Jev choose among simulated controller macros.

The original post

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?

Engagement when collected

Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.