🇪🇺 Teslectrics 🇺🇦🇪🇺

📍So läuft der EU-weite Prozess 🇪🇺 für FSD Supervised jetzt ab: 1.Die RDW meldet die Zulassung direkt an die EU-Kommission und alle 27 Mitgliedstaaten. Dieser Schritt ist offenbar bereits erfolgt oder läuft seit gestern. 2.Anschließend erstellt die EU-Kommission einen Entwurf für eine implementierende Verordnung auf Basis von Artikel 39 der EU-Verordnung 2018/858. Dieser Schritt dürfte etwa 1 bis 4 Wochen dauern. 3.Danach stimmt das TCMV, also der technische Ausschuss für Kraftfahrzeuge, darüber ab. ✅ Dafür reicht eine einfache Mehrheit der Mitgliedstaaten. ✅ Bei Zustimmung würde die Freigabe für FSD Supervised EU-weit gleichzeitig in allen 27 Mitgliedstaaten gelten, also auch in Deutschland. ✅ Bei Ablehnung bleibt die Zulassung zunächst auf die Niederlande begrenzt. Einzelne Länder könnten die niederländische Zulassung dann aber national anerkennen. Tesla selbst rechnet aktuell mit einer möglichen EU-weiten Freigabe im Sommer 2026, also etwa zwischen Juni und August.

Improved auto wipers

De toekomst van mobiliteit is aangebroken FSD Supervised has been approved in the Netherlands 🇳🇱 & will begin rolling out in the country shortly!  Trained on billions of kilometers of real-world driving data, it can drive you almost anywhere under your supervision – from residential roads to city streets & highways No other vehicle can do this.  We're excited to bring FSD Supervised to more European countries soon

NEWS: Tesla has updated their Robotaxi app. What's new: • New tips section, which displays how many seats are available in the car, tells you that the vehicle lights will pulse on arrival and that Tesla may use interior cabin camera to ensure safety • Darker appearance • Other small UI changes

De toekomst van mobiliteit is aangebroken FSD Supervised has been approved in the Netherlands 🇳🇱 & will begin rolling out in the country shortly!  Trained on billions of kilometers of real-world driving data, it can drive you almost anywhere under your supervision – from residential roads to city streets & highways No other vehicle can do this.  We're excited to bring FSD Supervised to more European countries soon

Tesla AI Sr. Staff Engineer says Tesla has implemented a new software based Auto-Wiper system that uses the wiper motor itself as a tactile sensor. Instead of relying solely on the front cameras, the system estimates the physical friction between the rubber wiper blade and the glass by analyzing the motor’s electrical power consumption. The system will also automatically enable the defroster when high friction is detected, such as frost or ice. Additionally, it keeps a long-term friction level average to warn when wiper replacements are necessary due to higher than normal friction. Smart stuff! I suspect this system will get better over time with OTA updates.

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.