@elonmusk@kylaschwaberow Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
OK… this was actually kinda insane 🤯
I was in the right turn lane and FSD was slowing down normally. Then suddenly EVERY car in front of me started merging left.
At first I was like: “uhh what’s happening?” 👀
Then the cars moved away and revealed a pickup truck dead stopped in the lane with hazards flashing.
Before I could even think about whether FSD would react in time… the car already made the move 😳
Instant signal → smooth lane change → clean pass around the broken down truck.
No hesitation. No weird braking. Literally felt more natural than most human drivers.
Reaction time was probably under 1 second.
Tesla FSD is getting scary good. Video shows the whole move 👇
BREAKING: Tesla has officially released FSD V14.3
I'm downloading it in my Model Y right now. Here's everything that's new:
• Improved parking location pin prediction, now shown on a map with a P icon.
• Increased decisiveness of parking spot selection and maneuvering.
• Rewrote the Al compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
• Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
• Mitigated unnecessary lane biasing and minor tailgating behaviors.
• 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.
• 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.
• 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.
@hamids 99% don't care today because it's supervised + $99/mo + waiting for unsupervised.
Once it's truly hands-off and people experience the freedom/safety, that flips fast — like every big tech shift.
Early low adoption ≠ permanent low adoption.
Just got the 2025 Holiday Update! 🚀 Loving the new “Auto” mode for HOV lanes. Even better, they added the “Allow Express Lanes” option (like FasTrak/E-ZPass)! Thanks @Tesla for the free improvements! 🎄
Fun fact - Tesla is the most reliable EV you can buy according to Consumer Reports - and we continue to improve year over year. https://t.co/EyeDF51m7B
Just got the new FSD v14.1.3 update last night.
I was already happy with v13.2.9 and didn’t expect a big leap, but wow, v14 really surprised me!
It took me to work flawlessly this morning on MadMax and it finally fixed the freeway on-ramp traffic light issue. Stops and goes smoothly based on the light now.
Since my workplace offers Level 2 charging, I picked “Charger” as the destination, and it actually parked right in my usual charging spot!🤯