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Tesla FSD Beta V11.3 starts shipping to employees (Release Notes)

Credit: Drive in EV/Twitter

Published

2 years ago

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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.

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. 

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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. 

The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Cybertruck

Tesla clears the air on Cybertruck ‘deactivation’ video that is obviously fake

Tesla has cleared the air on the viral video, stating it is fake.

Published

7 hours ago

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August 11, 2025

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Credit: Cybertruck | X

Tesla has cleared the air regarding a video that has been circulating, where the owner claims his Cybertruck was “deactivated” by the company while he was driving.

The video was shared on X and showed a driver pulled over on the side of the road, claiming his Cybertruck had been deactivated by Tesla in the middle of traffic. It is very obviously fake to those who know the company, but these kinds of things have a tendency to pick up steam.

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The video shows a screen that says:

“Tesla Cybertruck De-Activated. Critical Issue Detected | Contact Customer Service, Comply with Cease & Desist to Re-Activate. Update Failed, Return to Dealer.”

The same person who posted the video also shared an image of what appears to be a Cease and Desist letter from Tesla, but it is also likely fake:

The company finally responded to the video on Monday afternoon, stating that the video is, in fact, fake, reiterating that it will not disable vehicles remotely for any reason.

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It is a shame that these types of things happen, especially as people are prone to believe anything they see on the internet. As there is so much misinformation circulating surrounding Tesla and its CEO Elon Musk, it is no surprise that someone would leverage the situation for their own benefit.

If that Cease and Desist letter is not real, perhaps the next one might be. These types of things can truly cause damage to a company’s reputation, and someone getting an idea that Tesla would remotely deactivate a car could prevent them from buying one.

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Elon Musk

Elon Musk is stepping up for Tesla Service in a big way

Elon Musk has stepped up to resolve a handful of customer issues regarding vehicle service.

Published

9 hours ago

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August 11, 2025

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tesla service
Credit: Tesla

Elon Musk is stepping up to help customers in a big way, especially when they are having issues with Tesla’s Service.

Perhaps one of the biggest advantages Tesla owners have is access to Musk through X, his social media platform. Over the years, we’ve seen Tesla add features, refine its cars’ performance, and more, all through asking Musk directly through a post.

Now, Musk is stepping up in another way by resolving a few Service complaints that customers had.

The first occurred last week when a recall on a Tesla battery was not honored by Service. The company sought $30,000 for a replacement and labor, which was not right. Musk responded that he would personally investigate the matter. The vehicle was fixed at no cost as it was a recall, and was ready for pickup the next day.

It also revealed a new strategy Tesla is using to combat service communication issues:

Tesla creates clever solution to simplify and improve its Service

The next occurred with a Cybertruck owner who was in Japan. Their car was parked at an airport in the U.S. and had lost a vast majority of its state of charge, leaving them just fifty miles of range at the time.

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Musk reached out to the owner and said Service will take care of the car and will investigate the cause of the battery drain:

There are not too many companies out there where the CEO will get involved with individual issues like these. It’s pretty exclusive to Tesla, as Musk has commonly stepped up to resolve complaints with vehicles or to confront features that some owners might find useful.

Service has been a weak point of the company for some time, but it has worked to refine and resolve customer complaints by building more Service Centers across the world that can handle these issues.

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Elon Musk

Tesla CEO Elon Musk confirms Robotaxi is opening to the public: here’s when

Anyone will be able to request a Tesla Robotaxi in September, Elon Musk said this morning.

Published

10 hours ago

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August 11, 2025

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Credit: Joe Tegtmeyer | X

Tesla CEO Elon Musk has confirmed that the company’s Robotaxi platform is opening to the public, and he even gave a timeline for when anyone will be able to access one for a ride.

Tesla’s Robotaxi platform launched to a small group on June 22 in Austin, Texas. The company has continued to expand the number of riders and its geofence over the past month and a half.

Tesla officially launches Robotaxi service with no driver

Additionally, it launched rides in the Bay Area of California, but it differs slightly, as the Texas Robotaxi platform does not utilize a Safety Monitor in the driver’s seat. In California, the monitor sits in the driver’s seat.

As the geofence, service areas, and testing populations expand, Tesla fans are awaiting their elusive emails that enable their ability to use the Robotaxi platform. It now seems that the email will come soon, as Musk said Tesla will open up public access to Robotaxi next month:

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Tesla has been prioritizing safety over anything else with the launch of the Robotaxi platform, which is why it has been slow to push invitations to new riders. It is confident in the abilities of the platform and its Full Self-Driving suite, which has been proven with data.

However, even a single accident could set Tesla back years in terms of its development of self-driving cars. It is not a risk it is willing to take.

Musk said during the recent Q2 Earnings Call:

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“We need to make sure it works when the vehicles are fully under our control. It’s kind of one step at a time here. We don’t want to jump the gun. As I said, we’re being paranoid about safety. But I guess next year is I’d say confidently next year. I’m not sure when next year, but confidently next year, people would be able to add or subtract their car to the Tesla, Inc. fleet.”

As the platform will expand in Austin and the Bay Area for anyone, Tesla still continues to reiterate that Robotaxi will be available for everyone sometime next year, as Musk said in the quote above.

Things will continue to improve over time, and Tesla will likely expand its geofence in both regions in the coming weeks. It has already done that in Austin twice, with about a doubling in size occurring both times.

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