The release notes for Tesla FSD Beta V11.3 have been shared online. Observers from the electric vehicle community suggest that Tesla Full Self-Driving Beta 11.3 is rolling out to the company’s employee FSD Beta testers, at least for now.
The following are Tesla’s FSD Beta V11.3 release notes:
- Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.
- Added voice drive-notes. After an intervention, you can now send Tesla an anonymous voice message describing your experience to help improve Autopilot.
- Expanded Automatic Emergency Braking (AEB) to handle vehicles that cross ego’s path. This includes cases where other vehicles run their red light or turn across ego’s path, stealing the right-of-way.
- Replay of previous collisions of this type suggests that 49% of the events would be mitigated by the new behavior. This improvement is now active in both manual driving and autopilot operation.
- Improved autopilot reaction time to red light runners and stop sign runners by 500ms, by increased reliance on object’s instantaneous kinematics along with trajectory estimates.
- Added a long-range highway lanes network to enable earlier response to blocked lanes and high curvature.
- Reduced goal pose prediction error for candidate trajectory neural network by 40% and reduced runtime by 3X. This was achieved by improving the dataset using heavier and more robust offline optimization, increasing the size of this improved dataset by 4X, and implementing a better architecture and feature space.
- Improved occupancy network detections by oversampling on 180K challenging videos including rain reflections, road debris, and high curvature.
- Improved recall for close-by cut-in cases by 20% by adding 40k autolabeled fleet clips of this scenario to the dataset. Also improved handling of cut-in cases by improved modeling of their motion into ego’s lane, leveraging the same for smoother lateral and longitudinal control for cut-in objects.
- Added “lane guidance module and perceptual loss to the Road Edges and Lines network, improving the absolute recall of lines by 6% and the absolute recall of road edges by 7%.
- Improved overall geometry and stability of lane predictions by updating the “lane guidance” module representation with information relevant to predicting crossing and oncoming lanes.
- Improved handling through high speed and high curvature scenarios by offsetting towards inner lane lines.
- Improved lane changes, including: earlier detection and handling for simultaneous lane changes, better gap selection when approaching deadlines, better integration between speed-based and nav-based lane change decisions and more differentiation between the FSD driving profiles with respect to speed lane changes.
- Improved longitudinal control response smoothness when following lead vehicles by better modeling the possible effect of lead vehicles’ brake lights on their future speed profiles.
- Improved detection of rare objects by 18% and reduced the depth error to large trucks by 9%, primarily from migrating to more densely supervised autolabeled datasets.
- Improved semantic detections for school busses by 12% and vehicles transitioning from stationary-to-driving by 15%. This was achieved by improving dataset label accuracy and increasing dataset size by 5%.
- Improved decision making at crosswalks by leveraging neural network based ego trajectory estimation in place of approximated kinematic models.
- Improved reliability and smoothness of merge control, by deprecating legacy merge region tasks in favor of merge topologies derived from vector lanes.
- Unlocked longer fleet telemetry clips (by up to 26%) by balancing compressed IPC buffers and optimized write scheduling across twin SOCs.
Here are the V11.3 release notes again if you haven't seen them. Very happy to see improvements in rain reflections as that was rare, but could give some insane errors #FSDBeta @elonmusk pic.twitter.com/ZIOcIhmUMd
— Dirty Tesla (@DirtyTesLa) February 20, 2023
Several longtime FSD Beta testers have pointed out some key improvements that would likely be very appreciated by users in V11.3. These include the systems’ improved handling through high speed and high curvature scenarios, as well as improvements to Automatic Emergency Braking (AEB). With the improvements in place, FSD Beta V11.3 would behave closer to a proper human driver.
Comments from longtime Tesla FSD Beta testers also suggest that V11.3 is still only being released for company employees for now. Considering Tesla’s past updates, it would not be surprising if the greater FSD Beta fleet gets the V11.3 update in the coming week or so. This is, of course, unless V11.3 ends up going the way of FSD Beta V11, which was released to employees in November but not to the greater fleet of FSD Beta testers.
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Tesla Model Y outsells everything in three states, but Ford dominates
The Model Y’s success here highlights accelerating mainstream adoption of electric SUVs, which offer spacious interiors, impressive range, rapid acceleration, and low operating costs.
The Tesla Model Y was the best-selling vehicle in three different states in the U.S. last year, according to new data that shows the all-electric crossover outsold every other car in a few places. However, Ford widely dominated the sales figures with its popular F-Series of pickups.
According to new vehicle registration data compiled by Edmunds and visualized by Visual Capitalist, the Ford F-Series, encompassing models like the F-150, F-250, F-350, and F-450, claimed the title of best-selling vehicle in 29 states.
This dominance underscores the pickup truck’s unbreakable appeal across much of the country, particularly in rural, Midwestern, Southern, and Western states, where towing capacity, durability, and utility for work or recreation remain top priorities.
The Tesla Model Y is the best-selling vehicle in California, Washington, and Nevada
How many states will it dominate next year? https://t.co/ERyoyce42D
— TESLARATI (@Teslarati) March 9, 2026
The F-Series has held the crown as America’s overall best-selling vehicle for decades, a streak that continued strong into 2025 despite broader market shifts.
Yet, amid this truck-heavy reality, Tesla made a notable breakthrough. The Model Y emerged as the top-selling vehicle, not just the leading EV, but the outright best-seller in three key states: California, Nevada, and Washington.
These West Coast strongholds reflect regions with robust EV infrastructure, high environmental awareness, generous incentives, and tech-savvy populations. In California alone, nearly 50 percent of new vehicle registrations were electrified, far outpacing the national average of around 25 percent.
The Model Y’s success here highlights accelerating mainstream adoption of electric SUVs, which offer spacious interiors, impressive range, rapid acceleration, and low operating costs.
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
Elsewhere, Japanese crossovers filled many gaps: Toyota’s RAV4 and Honda’s CR-V topped charts in several urban and densely populated Northeastern and Midwestern states, where fuel efficiency, reliability, and family-friendly features win out over larger trucks.
While Ford’s broad reach shows traditional preferences persist, at least for now, Tesla’s Model Y victories in high-population, influential states signal a gradual but undeniable transition toward electrification. As charging networks expand and battery technology improves, more states could follow the West Coast’s lead in the coming years.
This 2025 map captures a pivotal moment: pickup trucks still rule the majority, but EVs are carving out meaningful territory where consumer priorities align with sustainability and innovation. The road ahead promises continued competition between legacy giants and electric disruptors.
Elon Musk
Elon Musk shares updated Starship V3 maiden launch target date
The comment was posted on Musk’s official account on social media platform X.
SpaceX CEO Elon Musk shared a brief Starship V3 update in a post on social media platform X, stating the next launch attempt of the spacecraft could take place in about four weeks.
The comment was posted on Musk’s official account on social media platform X.
Musk’s update suggests that Starship Flight 12 could target a launch around early April, though the schedule will depend on several remaining milestones at SpaceX’s Starbase launch facility in Texas.
Among the key steps is testing and certification of the site’s new launch tower, launch mount, and tank farm systems. These upgrades will support the next generation of Starship vehicles.
Booster 19 is expected to roll to the launch site and be placed on the launch mount before returning to the production facility to receive its 33 Raptor engines. The booster would then return for a static fire test, which could mark the first time a Super Heavy booster equipped with Raptor V3 engines is fired on the pad.
Ship 39 is expected to undergo a similar preparation process. The vehicle will likely return to the production site to receive its six engines before heading to Massey’s test site for static fire testing.
Once both stages are prepared, the booster and ship will roll out to the launch site for the first full stack of a V3 Super Heavy and V3 Starship. A full wet dress rehearsal is expected to follow before any launch attempt.
Elon Musk has previously shared how SpaceX plans to eventually recover Starship’s upper stage using the launch tower’s robotic arms. Musk noted that the company will only attempt to catch the Starship spacecraft after two successful soft landings in the ocean. The approach is intended to reduce risk before attempting a recovery over land.
“Should note that SpaceX will only try to catch the ship with the tower after two perfect soft landings in the ocean. The risk of the ship breaking up over land needs to be very low,” Musk wrote in a post on X.
Such a milestone would represent a major step toward the full reuse of the Starship system, which remains a central goal for SpaceX’s long-term launch strategy.
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Tesla opens first public Tesla Semi Megacharger site in Los Angeles
The development was highlighted in a post on social media platform X by the official Tesla Semi account.
Tesla has opened its first public Tesla Semi Megacharger site in Los Angeles. The station reportedly offers up to 750 kW charging speeds and is open to Tesla Semi customers.
The development was highlighted in a post on social media platform X by the official Tesla Semi account.
Tesla Semi Megachargers
The Los Angeles site seems to be the first public Tesla Semi Megacharger that is not located at a Tesla factory. It is also the third Megacharger site currently visible on Tesla’s map.
The Megacharger system is designed specifically for the Tesla Semi and is capable of delivering extremely high charging speeds to support long-haul trucking operations. Infrastructure such as this will likely play a key role in making the Semi competitive with diesel-powered transport trucks.
Tesla’s progress with the Semi has also drawn attention in recent days after Elon Musk biographer Ashlee Vance shared photos from inside the Tesla Semi factory near Giga Nevada. The images suggested that preparations for higher production volumes may be underway, hinting that a broader ramp of the Tesla Semi’s production indeed be approaching.
New deployment strategies
Tesla has continued expanding its broader charging network through several new strategies aimed at accelerating infrastructure deployment. One of these initiatives is the Supercharger for Business program, which allows third parties to purchase Tesla Supercharger equipment and deploy charging stations while still integrating with Tesla’s network.
The program recently marked a milestone in Alpharetta, Georgia, where the city deployed four 325 kW city-branded Superchargers near the Alpharetta Department of Public Safety on Old Milton Parkway. The chargers support the city’s Tesla Model Y police vehicles while also remaining accessible to the public.
As per a report from EVwire, the project was designed not only to support fleet charging but also to generate economic returns that could offset the city’s investment. Tesla’s Supercharger for Business program has already attracted several participants, including businesses and charging providers such as Suncoast Charging, Pie Safe bakery in Idaho, Francis Energy in Oklahoma, and Wawa convenience stores.
Tesla Model Y outsells everything in three states, but Ford dominates
Elon Musk shares updated Starship V3 maiden launch target date
