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In a recent deep dive, industry engineer and analyst Phil Bisel sheds light on how Tesla's latest approach is breaking new ground. This involves a combination of scaling neural network models and incorporating cutting-edge reinforcement learning techniques, which promise to elevate Tesla’s autonomous driving from impressive to superhuman levels. Here’s an exploration of how these innovations work and why they matter.
Scaling Up: The Power of Bigger Neural Networks
One of the most conspicuous changes in Version 14 (V14) is the massive increase in neural network size. Elon Musk has publicly stated that V14's model is roughly 10 times larger than its predecessor, V13. But what does that actually mean?