This production update brings 20% faster reaction time to further increase safety, among many other improvements
Full release notes below
Full Self-Driving (Supervised) v14.3 includes
– Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
– Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
– Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
– Mitigated unnecessary lane biasing and minor tailgating behaviors.
– Increased decisiveness of parking spot selection and maneuvering.
– Improved parking location pin prediction, now shown on a map with a (P) icon.
– Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
– Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
– Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet.
– Improved handling