Open X Embodiment
product on 1 show · 3 statements across 1 episodes · said 8 times in 1 episodes since 2026
the Y Combinator Startup Podcast 8
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the Y Combinator Startup Podcast 8
2026 8 mentions in 1 episode
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3 statements about Open X Embodiment, every show
Vuong: ImageNet was more impactful than OpenX because it solved evaluation
“I still think that ImageNet was more impactful in the vision community, and the reason for that is a few. The first is that ImageNet also allowed for reproducible evaluation, right? You know, OpenX as an effort was more about making data available for kind of …”
Vuong: OpenX generalist robot model outperformed embodiment-specific specialists by 50%
“You can compare it to the specialist that has been optimized to work well on a particular embodiment. How does it compare? And the interesting result from OpenX is it was 50% better.”
Hu: RT-X proved AI scaling laws apply to physical robotics
“That was a big paper, because it was the first that showed potential scaling laws that applied to robotics, because now you could start training all these models across multiple kinds of hardware, not just one, which has never been done in robotics ever before…”