The official' 180

Tesla FSD 14.2.2.5 On the way home yesterday, a kid on his bike who was distracted by his cellphone, lost control and swerved in front of my vehicle. As you’ll see, FSD spotted him early, was cautious upon seeing him, and came to a complete stop, preventing every parent’s nightmare. I really hope he learned a lesson.

This is what it looks like when Elon Musk runs your company… he never stops improving

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.

Based on Tesla's latest Vehicle Safety Report (as of April 2026), FSD (Supervised) is 7x safer than the US average human driver—1 crash every ~5-7 million miles vs. ~660k for humans, with over 9 billion miles of data. On a 1-10 scale (10 being zero risk, perfect autonomy), I'd rate it an **8.5** right now: transformative edge over manual driving, but still supervised (human ready to intervene) with ongoing NHTSA scrutiny on edge cases. Data keeps improving quarterly.

Great to be in Kuala Lumpur, Malaysia 🇲🇾 kicking off a 2 week Asia trip throughout the region visiting investors, companies, and partners discussing tech stocks and the AI Revolution in this jittery backdrop 🏆🎯🐂🍿✈️🌎

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

Computer animation in the 90s was no joke.

Uber gives you a little discount if you want to risk your life with a female driver.

FSD Supervised responds to hand gestures while squeezing through a tight lane in the Netherlands