Loudness
Well-known member
- First Name
- Jay
- Joined
- Mar 11, 2024
- Threads
- 23
- Messages
- 356
- Reaction score
- 1,215
- Location
- Atlanta
- Vehicles
- Cybertruck (AWD)
- Thread starter
- #1
From Sawyer Merritt's post on 𝕏:
Here's everything that's new:
Upcoming Improvements:
Here's everything that's new:
- Improved parking location pin prediction, now shown on a map with a P icon.
- Increased decisiveness of parking spot selection and maneuvering.
- Rewrote the Al compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
- Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
- Mitigated unnecessary lane biasing and minor tailgating behaviors.
- 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.
- 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.
- 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.
Upcoming Improvements:
- Expand reasoning to all behaviors beyond destination handling.
- Add pothole avoidance.
- Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
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