OpenAI's Astra beats specialized robotics models, Will DePue says
Overview
OpenAI researcher Will DePue says on X that Astra "decimated" specialized robotics models in an OpenAI robotics result, which he calls deeply surprising.
He says the result could mean transfer improves with scale, that there is a fundamental algorithmic shift, or something else, and that he does not know which.
In a follow-up post, DePue offers untested gut theories. He doubts Astra used more FLOPs than the specialized models on multimodal data. He says chain-of-thought improves robotics tasks even at low reasoning budgets, and that transfer may rise with scale through optimization and data effects. He says CAD and computer-use training seem unlikely to be the main cause.
Neither post reports benchmarks, metrics, or the models compared.
Written by AI from the articles below · updated Oct 31, 7:30 PM ET
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Developments
2 developments
- Oct 31, 7:14 PM ET · 1 articleWill Depue offers gut theories on why OpenAI's Astra beats robotics modelswill depue: Will Depue offers gut theories on why OpenAI's Astra beats robotics models
- Oct 31, 6:37 PM ET · 1 articleOpenAI's Astra beats specialized robotics models, Will DePue sayswill depue: OpenAI's Astra beats specialized robotics models, Will DePue says
Article timeline
The articles in this story. Times are ET.
will depue@willdepueXWill Depue offers gut theories on why OpenAI's Astra beats robotics modelsAIWill Depue, an OpenAI account holder, says he doubts Astra spent more FLOPs than specialized robotics models on multimodal data. He says chain-of-thought improves robotics tasks even at low reasoning budgets, and that transfer may rise with scale through optimization and data effects. He labels these as untested gut takes, and notes that CAD and computer-use training transfer seems unlikely to be the main cause.
will depue@willdepueXOpenAI's Astra beats specialized robotics models, Will DePue saysAIWill DePue, an OpenAI researcher, says OpenAI's robotics result, where Astra decimated specialized robotics models, is deeply surprising. He says it could imply that transfer improves with scale, a fundamental algorithmic shift, or something else, and he does not know which.

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