Tesla FSD v12: The Quest for General Driving Intelligence

I discuss why Tesla had to do a complete rewrite of FSD and more importantly, why it should allow them to improve faster and potentially solve autonomous driving.

Narrow Driving Intelligence (NDI) is an approach to autonomous driving where each unique driving challenge, or edge case, is solved individually with a specific solution or algorithm. However, this approach does not improve the vehicle's ability to handle new, unseen edge cases.

On the other hand, General Driving Intelligence (GDI) aims to develop a holistic driving intelligence that can handle a variety of situations and new edge cases, much like a human driver would. It involves creating a massive neural network that learns from millions of videos of various driving situations, enabling it to intelligently navigate through situations and edge cases it's never seen before.

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