Train a next-frame world model of Procgen CoinRun that people can actually play — coins score, deaths reset, controls respond. Then race to the target quality in the fewest wall-clock minutes on one fixed 8xH100 node.
Nothing in the clip is a recording: every frame is invented by the model, one at a time, in response to the keys a player is pressing. You are given access to a game environment, and must generate your own training data from it and then train a tiny video world model against that data. Entries are timed end to end and the record book lives on GitHub.
Your score is the wall-clock time to reach the target; lower is better.
Ranked by wall-clock time to the target score (fewest minutes wins). The record book lives on GitHub — this table is derived directly from RECORDS.md, and records are claimed by pull request.
| Rank | Entrant | Wall-clock | Score | Date | PR |
|---|---|---|---|---|---|
| #1 | reference (this repo) | 34.7 min | 0.001593 | 2026-07 | — |