
Drive Electric Today
104 posts




Good look at the interior of the redesigned Tesla Semi, which is set to enter volume production in the coming months. • Changed side windows so the driver can reach out • Cupholders moved farther up for easier access • Larger side storage area next to cupholders • Wireless phone chargers • Dual 16" screens, same as ones from the new Model Y (15.4" before) • In-cabin attention monitering camera


Tesla hears a police siren and immediately moves aside. No hesitation. No confusion. It just works. Tested in the Netherlands. Real traffic. Real response. In the video I went a bit over the top. But this is exactly the kind of feature that shows where things are going. $TSLA @elonmusk @SawyerMerritt @wholemars








FSD in Amsterdam Casually pulling out of the parking space, going onto the Utrechtsestraat and doing something INCREDIBLE around the 3 min mark It passed an illegally parked truck with MINIMAL space, I wouldn’t have thought it would do this BALLER move


When you pass country borders, you receive a warning 15 seconds in advance. See the video. $TSLA

NEWS: Tesla will require all @Tesla owners in the Netherlands who activate FSD (Supervised) for the first time to complete a short quiz (video below), ensuring they understand how it works. Here's a new video from Tesla on how FSD (Supervised) will work in the Netherlands:

First (supervised) FSD approval in Europe! Congratulations to the Tesla team and thank you to the regulatory authorities in the Netherlands for all the hard work required to make this happen.

New release of FSD Supervised now starting to roll out This 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 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.





