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Having an Accurate Vector Space Representation of the Physical Objects
The hottest thing is having accurate representation of the physical objects in vector space. Once you have an accurate vector space representation, the planning and control is relatively easier. Do you have a sense, high level that Tesla's on track on being able to achieve full autonomy? So, on the highway? Yeah, absolutely. And still no driver state, driver sensing. And we have driver sensing with the token wheel. That says relatively easy. What's harder, perception or control for these problems? The giant, beautiful, multi-task learning neural network.