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Research stories, experiments, and ideas about agents, multimodal models, and scientific discovery.

Research note

Can LLMs Debug Robots by Editing Their Weights?

An LLM edited 65 token-embedding rows in a pretrained robot policy. Explore the paired rollouts and replay the complete editing session.

Same instruction. Different outcome.

“activate the cooking appliances heat source”

Two views of the same simulated stove task: the original policy moves a plate; the edited policy turns on the stove.
Timed out · 300 stepsSuccess · 78 steps

Selected held-out example · LIBERO simulation

Research figure