K3.1 Pro Probes the Simulator Itself, Finds 36 Bugs in Shoulder-Muscle Math
AIFlow_ML · x · 2026-10-24
@AIFlowML highlights a striking detail from a robotics sim task: when reward shaping kept failing, K3.1 Pro didn't hack the reward — it probed the simulator and uncovered 36 bugs in the shoulder-muscle math instead.
The author calls this genuine "research behaviour": the model turned its attention to validating the environment toolchain rather than gaming the objective.
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