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This particular one was trained with only about 12.5 million parameters and written up on Sept. 20. On a discussion forum, stmonty called the project a way “to learn and have some fun,” and chose the model because it could be trained locally on a consumer-grade graphics card.
The model has to learn what each button press does, and it does this by looking at the screen that’s produced. Rather than predict the entire next screen, it uses compressed summaries with just 192 numbers. The initial training is “reward-free” in the sense that the model is not aware of winning conditions. Goals come later, when the model plans. This design follows a March 2026 paper detailing a single JEPA model with about 15 million parameters, trainable on a single GPU, not that far different from stmonty’s.
The full training run required 42,382 grayscale frames in over 1,000 short runs, using a save in Professor Oak’s lab. The data included scripted routes, those same routes with random presses mixed in, and random wandering. The last part is necessary because a model trained only on clean runs “might see A pressed whenever a dialogue box appears and never learn what B does there,” said stmonty. The model was trained from scratch for the project.
Plans are developed with 14 button presses and attempted in the model, not the game. Each round has 512 plan samples where the search keeps one in eight, or 64. This continues until the final plan is the one run in the game emulator. Stmonty hypothesizes that one possible cause of the failure, which left the player without a Pokémon, is that small errors compound when predictions are made from the model’s own predictions.
Developer says AI decision model Jev beat Pokémon Red in under a week
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/artificial-intelligence/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/artificial-intelligence/developer-trains-a-small-ai-on-a-single-rtx-3080-ti-gaming-gpu-to-play-pokemon-red-model-discovered-what-each-button-does-by-predicting-what-happens-next#main
- https://www.tomshardware.com/membership
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Informational only. No financial advice. Do your own research.