News
Tesla Autopilot’s 4D upgrade could lead to more FSD features
Tesla CEO Elon Musk stated that the company’s Autopilot systems are being upgraded to 4D, which will improve the performance and capabilities of the semi-autonomous driving function. Currently, Autopilot is operating with “~2.5D,” Musk said.
The developments came from a question that was asked by a Twitter follower of Musk’s who has issues using Tesla’s Summon feature on his driveway. Summon allows owners to retrieve their vehicles by using their Smartphones. By holding the “COME TO ME” button within the Tesla app, the car will use GPS vectoring to travel to the location of the phone.
Summon is a part of Tesla’s Full Self-Driving suite. But, the rework of Autopilot’s dimensional upgrade is apart of something much bigger. Perhaps it deals with a complete rewrite of Autopilot that will extend the company’s FSD features.
We need to finish upgrading Autopilot to 4D vs ~2.5D, then it will go up very steep slopes
— Elon Musk (@elonmusk) July 22, 2020
However, the owner stated that the grade of his driveway is slightly steeper than 10%, which inhibits the vehicle from traveling up roads that have inclines. The steepness of the slope, along with normal transitions from a street to a driveway, can present issues for Tesla’s Autopilot. This could be due to the lack of information that Tesla’s Neural Network has for navigating these environments.
With that being said, Tesla is developing a 4-dimensional system for Autopilot. The development of new elements for Autopilot to comprehend the surroundings and road environment of the vehicle could lead to more drastic improvements and an increasingly accurate comprehension of the roads a vehicle travels on.
Tesla’s currently Autopilot suite uses ~2.5D, Musk said. Now, it uses two-dimensional images along with labels, which could account for the around 2.5 dimensions that Musk spoke of in the tweet.
Adding dimensions to the Autopilot system will simply increase the accuracy of how the car reacts in certain situations. Currently, Tesla uses images from Autopilot cameras that are labeled with information. Tesla could use 3-dimensional stereoscopic scenes that are reconstructed from video, along with timestamps to improve accuracy.
A few members of the Tesla community put their two cents in on what the 4-dimensional Autopilot system could entail.
Reddit user u/__TSLA__ stated that curating a massive series of traffic scenarios and objects that a car might encounter during a drive could improve the accuracy of Autopilot and Tesla’s self-driving capabilities.
However, another Reddit user, u/Semmel_Baecker, said that 4D could mean that the Autopilot cameras could build a real-time 3D environment and then predict the movements of labeled objects in 4D based on past behaviors of other vehicles. This strategy would effectively use the Neural Network to learn the reactions of other drivers or objects.
Tesla continues to develop Autopilot behaviors to eventually release a “feature complete” Full Self-Driving suite in the future. The electric automaker continues to release patents that aim to build a more accurate Autopilot system that will accelerate the company’s journey toward Level 5 Autonomy, which Musk says is coming soon.
Most recently, Tesla submitted a patent titled, “Enhanced Object Detection for Autonomous Vehicles Based on Field View,” that would crop important objects in images and increase the resolution of those images. If pedestrians, vehicles, or other objects are available in an image, they would be available at an increased resolution to improve the accuracy of Autopilot.
Tesla’s exact plans for an Autopilot upgrade to 4-dimensional imagery is unknown. The increased accuracy is necessary for the company’s cars to drive in any environment. Tesla will soon release FSD’s “Driving on City Streets” function, which will complete the suite.
Elon Musk
SpaceX Starship Version 3 booster crumples in early testing
Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.
SpaceX’s new Starship first-stage booster, Booster 18, suffered major damage early Friday during its first round of testing in Starbase, Texas, just one day after rolling out of the factory.
Based on videos of the incident, the lower section of the rocket booster appeared to crumple during a pressurization test. Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.
Booster test failure
SpaceX began structural and propellant-system verification tests on Booster 18 Thursday night at the Massey’s Test Site, only a few miles from Starbase’s production facilities, as noted in an Ars Technica report. At 4:04 a.m. CT on Friday, a livestream from LabPadre Space captured the booster’s lower half experiencing a sudden destructive event around its liquid oxygen tank section. Post-incident images, shared on X by @StarshipGazer, showed notable deformation in the booster’s lower structure.
Neither SpaceX nor Elon Musk had commented as of Friday morning, but the vehicle’s condition suggests it is likely a complete loss. This is quite unfortunate, as Booster 18 is already part of the Starship V3 program, which includes design fixes and upgrades intended to improve reliability. While SpaceX maintains a rather rapid Starship production line in Starbase, Booster 18 was generally expected to validate the improvements implemented in the V3 program.
Tight deadlines
SpaceX needs Starship boosters and upper stages to begin demonstrating rapid reuse, tower catches, and early operational Starlink missions over the next two years. More critically, NASA’s Artemis program depends on an on-orbit refueling test in the second half of 2026, a requirement for the vehicle’s expected crewed lunar landing around 2028.
While SpaceX is known for diagnosing failures quickly and returning to testing at unmatched speed, losing the newest-generation booster at the very start of its campaign highlights the immense challenge involved in scaling Starship into a reliable, high-cadence launch system. SpaceX, however, is known for getting things done quickly, so it would not be a surprise if the company manages to figure out what happened to Booster 18 in the near future.
News
Tesla FSD (Supervised) is about to go on “widespread” release
In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”
Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin.
The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.
FSD V14.2 improvements
FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.
A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.
Elon Musk’s predicted wide release
The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”
FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles.
News
Tesla FSD V14.2 starts rolling out to initial batch of vehicles
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Tesla has begun pushing Full Self-Driving (Supervised) v14.2 to its initial batch of vehicles. The update was initially observed by Tesla owners and veteran FSD users on social media platform X on Friday.
So far, reports of the update have been shared by Model Y owners in California whose vehicles are equipped with the company’s AI4 hardware, though it would not be surprising if more Tesla owners across the country receive the update as well.
Based on the release notes of the update, key improvements in FSD V14.2 include a revamped neural network for better detection of emergency vehicles, obstacles, and human gestures, as well as options to select arrival spots.
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Following are the release notes of FSD (Supervised) V14.2, as shared on X by longtime FSD tester Whole Mars Catalog.
Release Notes
2025.38.9.5
Currently Installed
FSD (Supervised) v14.2
Full Self-Driving (Supervised) v14.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances.
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
- Improved FSD’s ability to manage system faults and improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
Upcoming Improvements:
- Overall smoothness and sentience
- Parking spot selection and parking quality
SpaceX Starship Version 3 booster crumples in early testing
Tesla FSD (Supervised) is about to go on “widespread” release
