Part 10/14:
Tesla’s approach emphasizes deterministic compute performance. Unlike traditional branching code—where multiple if-then statements can introduce variable, non-deterministic latency—neural network inference always involves matrix multiplications, which have predictable, fixed latency.
This predictability is critical for real-time safety—a system that reacts consistently in milliseconds, not unpredictably varying delays, ensures much higher reliability. Elliwami notes this as an important advantage of neural networks over rule-based systems.