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Tutor launches TRACE deployment-time compute scaling method and releases TI-0.1 model

Tutor launches TRACE, which uses deployment-time compute scaling for robot learning: starting from a small number of Tutor demonstrations, a frontier large language model agent reconstructs the task in simulation and trains reliable, human-speed policies. TI-0.1 is the first model trained with TRACE. USV believes this further shows that deploying robots in the field accelerates learning, with each deployment generating training data, giving Tutor a new way to make robot learning continuously accumulate.

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