Researcher: LLMs' best use may be generating robot pretraining data
igilitschenski · x · 2026-09-09
Researcher igilitschenski argues that if LLMs are good at generating robot-control code, their highest-value role is producing controllers that in turn generate data for pretraining robot foundation models—mirroring how LLMs already interface with game/physics engines to help train video models.
Related event: MIT Researcher: LLMs May Be Best at Generating Robot Pretraining Data(2 posts)→
More from Embodied
- NVIDIA open-sources FLORA, a robotics data engine ~125x cheaper than GPT-6 Astra — nvidia · 2026-10-27
- Embodied AI startups need a different operational discipline, investor says — ___Mufasaa · 2026-10-27
- π0.5 study: raising demos from 10 to 438 lifts Place Ball in Bowl success from 7% to 83% — stingning · 2026-10-27
- GPT-6 Astra controls dexterous hands zero-shot at just 5.2% success in 500 trials — stingning · 2026-10-27
- HandsOn benchmark: 66 verified tasks and 18,000 human demos for dexterous manipulation — stingning · 2026-10-27
- DexPort: a handheld interface with a real robot hand for dexterous-hand data collection — pabbeel · 2026-10-27