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Tesla’s strategy involves deploying a model that combines generalized training with regional customization, ensuring that FSD can adapt to different laws, road conditions, and driving cultures efficiently. This flexibility is made possible through a sophisticated AI architecture known as the mixture of experts.
Understanding the Mixture of Experts Architecture
At its core, Tesla's FSD uses neural networks—complex systems inspired by the human brain—that process various sensor inputs such as camera feeds, audio data, GPS location, and more to make driving decisions. These networks are composed of interconnected nodes, or "neurons," which weigh and bias data to produce control signals like steering, acceleration, and braking.