TESLA FSD V14.3 IS HERE! I’m downloading it right now. This is a MASSIVE update: • 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 MIR, 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 pin. • 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 for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet. • Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.