What is Tesla's focus in developing autonomous driving?
— Tesla's focus is on fast, efficient, and safe driving.
How many vehicles have received Tesla's full self-driving beta software?
— Tesla has shipped the full self-driving beta software to 400,000 vehicles in the US and Canada.
What technologies does Tesla use to predict occupancy in 3D space?
— Tesla uses a combination of radar, ultrasonics, and cameras to create occupancy networks that can predict occupancy in 3D space without labeling or ontology design.
How does Tesla predict and tokenize lanes for driving tasks?
— Tesla predicts and tokenizes lanes using state-of-the-art genetic modeling techniques, including autoregressive transformers, to create vector representations for ease of use.
What is Tesla's approach to reconstructing barriers and vehicles?
— Tesla uses a hybrid approach that combines neural networks to accurately reconstruct barriers and vehicles, including auto-labeling traffic lights without human input.
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