“We can quickly make the robot… with a very minimal amount of fine tuning… very few amount of demonstrations and the model can readily do a bunch of the tasks”

Latent Space: The AI Engineer Podcast · Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy - Jason Ma, Dyna Robotics

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7:40

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What was described

fine-tuned the general world-action model on a handful of task-specific demonstrations (few-shot) to enable new tasks like pulling drinks from a fridge

Said nearby on the same subject

“The grabbing a drink task is just how we test language following ... you can just specify what you want if the model follows intent follows instruction”
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“These new beverage types have been huge for the industry… they invented new reasons for us to not drink water and spend money on their beverages instead.”
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