The development of advanced neural networks requires substantial intermediate representations and features, as directly imitating human behavior offers insufficient supervision for training vast numbers of parameters. Pre-training is essential for effective fine-tuning, allowing complex tasks to be managed incrementally. Tesla's approach is framed within the context of robotics rather than traditional automotive manufacturing; their operations signify a shift toward treating cars as robots, emphasizing the company's identity as a robotics enterprise. This perspective reveals that everything about their design and operation is interconnected, highlighting Tesla's unique position as a robotics company focused on scalability and efficiency.

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