In-context learning hints at a "GPT moment" for robotics
chris_j_paxton · x · 2026-09-04
- Chris Paxton argues robots won't take off like ChatGPT did if they require post-training on every user; instead they need in-context learning — teaching new skills on the fly.
- The paradigm: prompt with a demonstration mixing video and proprioception; language alone doesn't specify the task well enough. Companies like Generalist, Skild, Rhoda, and RobbyAnt are already showing in-context long-horizon video demos, and it's starting to really work.
- Deepak Pathak amplified the point, tying it to S1 and the case for this new paradigm.
Related event: In-Context Learning Could Be Robotics' GPT Moment, Researcher Says(2 posts)→
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