What is Tesla's neural net rewrite?

Tesla's neural net rewrite involves a complete overhaul of the neural networks used in their vehicles. The rewrite is designed to integrate all sensors, creating a four-dimensional view (a 3D model of the world over time), enhancing the neural network's ability to process information and make predictions. This change also aims to simplify the annotation process across the different sensors and tasks within Tesla's complex system, nicknamed Hydranet, thereby improving overall system efficiency and accuracy 1.

Additionally, the rewrite includes fundamental changes to the neural net architecture, as discussed by Elon Musk. This is a part of their move towards Full Self-Driving (FSD) version 11, which Musk describes as a "single stack for all," aiming to simplify and enhance the system's capabilities through deeper integration and fewer conventional software components. This shift involves significant advancements in how data is processed and the transition from using simple neural networks that processed single image frames to more integrated and comprehensive processing modules 2.