Qwen 3.8 27B on a laptop identifies the games behind raw RL policy weights
AISimon Willison says Qwen 3.8 27B running on his laptop can infer which game a neural network was trained to play from raw weights, as described in a recent paper. In LM Studio, the model took 46 minutes and 43,506 reasoning tokens to identify the Pac-Man-style game and reported 72% confidence.
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Simon Willison · simonwillison.netPublished · added here
Original title: Qwen 3.8 27B on my laptop can interpret model weights, too