Latent Space: The AI Engineer Podcast · Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy - Jason Ma, Dyna Robotics
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identify that a parallel-jaw gripper limits task complexity and plan to develop a more dexterous hand
“If there's some really tricky dexterity task that humans are excellent at… maybe don't spend a ton of time there… more promising thing is something very routine that takes up a huge amount of scientists and technicians time and it's easy to automate”
“You have to implement WIP limits, meaning work in progress limits, and set up swim lanes… starting more tasks actually delays progress due to context switching.”
“…millions of interacting objects with a complex physics engine… the world becomes much more complex because it includes the complexity of all of those other agents”
“Jensen can develop the most complex computer chip in the world that nobody can copy for 10 years”
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