
속보: 1월 13일 미국 하원 청문회에서 자율주행차 연간 생산량 상한선을 2,500대에서 90,000대로 상향 조정하고, 각 주 정부가 자체 규정을 설정하는 것을 막을 수 있다는 전망이 나오고 있습니다. 이번 승인이 나면 테슬라 로보택시와 사이버캡 차량 운행을 2026년에 빠르게 확장할 수 있는 중요한 발판이 마련될 것입니다. 테슬라에게는 큰 승리입니다.
Tae Kim
261 posts

@TaeKim384
Highly interested in AI and invest on AI ecosystem.

속보: 1월 13일 미국 하원 청문회에서 자율주행차 연간 생산량 상한선을 2,500대에서 90,000대로 상향 조정하고, 각 주 정부가 자체 규정을 설정하는 것을 막을 수 있다는 전망이 나오고 있습니다. 이번 승인이 나면 테슬라 로보택시와 사이버캡 차량 운행을 2026년에 빠르게 확장할 수 있는 중요한 발판이 마련될 것입니다. 테슬라에게는 큰 승리입니다.






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.

Updated Unsupervised Tesla Robotaxi geofence(green is the expansion from today)


GOOD NEWS 🇺🇸 Significant Robotaxi expansion can happen "soon" 🔥 Based on the career listings, Tesla is currently hiring for the AI Safety Operator position in the following 14 cities across 9 states: 🚖 Tempe, Arizona 🚖 Bellevue, Washington 🚖 Flushing, New York 🚖 Bridgeville, Pennsylvania 🚖 Henderson, Nevada 🚖 Austin, Texas 🚖 Dallas, Texas 🚖 Houston, Texas 🚖 Tampa, Florida 🚖 Orlando, Florida 🚖 Doral, Florida 🚖 Jacksonville, Florida 🚖 Peabody, Massachusetts 🚖 Marina Del Rey, California



fully autonomous

CLAUDE + YouTube = $$$$ Even a 14-year-old can do it. Use these prompts to make money with YouTube:





