You really should play the 25 games before stating that it's "simple". The benchmark doesn't just track "completion", it also tracks the number of steps, and the score is based on the median steps took by human players. So in order to get 99% it would mean that the model solved every level of every game in less steps than the median humans. Which, having played the games and having setup harnesses for local models, I find hard to believe.
Also the models have to figure out what "end" means. And each game involves some kind of "gotchas" thrown in the harder levels. Some games are only solved by about 2/10 people trying them.
The 99% result most likely has some leakage somewhere, either in the preparation of the environments, or from session to session.
You are not given the rules or the winning conditions. You are only given a potentially windowed and/or degenerate visualizer of the underlying game state along with the UI and told to just figure it out. And you as a human will, in a couple moves. An LLM? Not so much. But they do eventually solve them. And given enough moves, victory is inevitable, but you are penalized for taking more moves than a human, yet also slightly punished if you find a better solution by capping your reward to 115%.
