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Tesla Assist gives you answers customized to your vehicle Upload an image, ask about your car, or get help with any service needs Tesla app > Service > Describe Question or Concern

Tesla's Spring software update has officially been unveiled. Here's what's new: • New Self-Driving App: Lets you subscribe with a single tap & learn about how to activate and use the feature. You can also view ongoing stats. AI4 hardware cars only. • Blind Spot Warning Accent Lights: Accent lights now turn red when an object is in your blind spot and your turn signal is engaged, or when an approaching object is detected while parked. • Launch Grok by saying "Hey Grok." You can also set location-based reminders, like "remind me to pick up milk when I'm near home." Say “goodbye” to dismiss Grok. • Pet Mode: Choose from dog, cat or hedgehog to display when Pet Mode is active. Also optionally customize the screen with your pet's name by going to Controls > Display > Customize Pet Mode • Car Visualization (New Model 3 & Y): A new park scene environment & higher quality car visualization. • More Trips: Create multiple trips to track energy stats across drives. Quickly access your trip’s consumption by swiping left on the media player. • Sketchpad: Now supports stickers & emojis. You can also save your sketches to access them in the Mobile App & share. • Model S & X owners can now personalize their Tesla avatar with window tints, custom wraps & license plates. • Immersive Sound (New Model 3 & Y w/ premium audio): Premium Immersive Sound uses advanced sound extraction to place the listener in front of a detailed soundstage within an Immersive space. This enhancement works with all streaming sources. • Your Tesla can now automatically install downloaded software updates overnight. When enabled, updates will install while your Tesla is parked and not in use. • Weather maps now show snow and rain with improved colors that make it easier to distinguish between precipitation types. You can also view the past hour of weather data to see how conditions have been changing along your route. • Recent Dashcam footage can now extend up to 24 hours & you can save any clip for permanent storage on your Tesla Other Improvements • Swipe right on tracks in Apple Music or Spotify to add them to the queue. • Passengers in rear seats can now view and interact with maps on the rear display while your Tesla navigates a route

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

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.