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

Credit: Drive in EV/Twitter

Published

3 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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Investor's Corner

Tesla analyst says this common earnings narrative is losing importance

“Numbers are going down next year, but that’s ok because it’s all about autonomy.”

Published

2 hours ago

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October 21, 2025

By

(Credit: Tesla)

A Tesla (NASDAQ: TSLA) analyst is doubling down on the idea that one common earnings narrative is losing importance as the company continues to work toward new technologies and projects.

This week, Tesla will report earnings for the third quarter, and one thing people always pay attention to is deliveries. Although Tesla reveals its deliveries for the quarter well before it reports earnings, many investors will look for commentary regarding the company’s strategy for responding to the loss of the $7,500 tax credit.

Tesla has made a few moves already, including a lease deal that takes a substantial amount of money off, launching new Standard models, and cutting up to 23 percent off of lease pricing.

Tesla makes crazy move to spur short-term demand in the U.S.

However, analysts are looking at the company in a different light.

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Aligning with the narrative that Tesla is not just a car company and has many different projects, Gene Munster of Deepwater Asset Management believes many investors need to look at another part of the business.

Munster said the delivery figures for Q3, which landed at 497,099, the highest in company history, were padded by customers rushing to showrooms to take advantage of the expiring tax credit.

He believes that deliveries will be more realistic in subsequent quarters, but investors should not worry because the focus on Tesla is not going to be on how many cars it hands over to customers:

“Numbers are going down next year, but that’s ok because it’s all about autonomy.”

Tesla has been working nonstop to roll out a dedicated Robotaxi platform in various cities across the United States, and has already launched in two states: Texas and California.

It has also received regulatory approvals to test driverless Robotaxis in Arizona and Nevada, while seeking permissions in Florida and other states, according to the company’s online job postings.

Munster continued:

“Most people are hyper-focused on the Robotaxi opportunity and not focused as much on FSD.”

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While Robotaxi is incredibly important, Tesla’s Full Self-Driving (Supervised) suite is also extremely crucial moving forward, as it sets the stage for the company to roll out a formidable self-driving service.

Tesla rolled out its newest FSD software to more owners last night, and as it expands, the company is gaining valuable data to refine its performance.

Earnings will be reported tomorrow at market close.

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Tesla rolled out a new feature with FSD v14 to fix a major complaint

One of the most crucial cameras for FSD operation is located at the top of the windshield, and some owners have complained about condensation or other debris accumulating here, which impacts FSD’s availability during drives.

Published

4 hours ago

on

October 21, 2025

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Credit: The Kilowatts | X

Tesla rolled out a new feature with Full Self-Driving (Supervised) v14.1.3 in an effort to fix a major complaint from owners.

Tesla’s approach to self-driving is significantly different than other companies as it only relies on cameras for operation. Tesla Vision was launched several years ago and completely axed any reliance the suite had on sensors, as CEO Elon Musk’s strategy was unorthodox and went against the grain.

However, it has proven to be effective, as Tesla still operates the most refined semi-autonomous driving suite in the United States.

There are some drawbacks, though, and one of them has to do with the obvious: cameras get dirty and need to be cleaned somewhat regularly.

One of the most crucial cameras for FSD operation is located at the top of the windshield, and some owners have complained about condensation or other debris accumulating here, which impacts FSD’s availability during drives:

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Tesla has been working to confront this issue, and in classic fashion, it used a software update to work on resolving it.

With the rollout of Full Self-Driving v14.1.3 and Software Version 2025.32.8.15, Tesla added a new feature that aims to clean the front camera efficiently without relying on the owner to do it manually.

Tesla Full Self-Driving’s new version officially gets a wider rollout

In its release notes for the suite, it said:

“Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.”

If the camera starts to have some issues with visibility, the car will automatically clean the front windshield camera to avoid any issues:

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This new addition is a small but mighty change considering all things. It is a necessary process to keep things operational and avoid any disruptions in FSD performance. It is also a testament to how much better Tesla vehicles can get with a simple software update.

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Tesla Full Self-Driving’s new version officially gets a wider rollout

So far, v14 has introduced a handful of new features and improvements, but the first versions needed refinement before Tesla made an effort to expand the population. It had issues with a brake stutter, but this has been mostly resolved.

Published

6 hours ago

on

October 21, 2025

By

Credit: Tesla Europe and Middle East | X

Tesla’s newest Full Self-Driving version is officially rolling out wider to customers outside of the Early Access Program (EAP), in preparation for a total launch of the new v14 suite.

Over the past several weeks, Tesla has been working to refine its new v14 Full Self-Driving (Supervised) in an effort to have it ready for the entire fleet of vehicles in the United States. We are lucky enough to be in the EAP, so we’ve been able to test new features and rollouts first-hand.

So far, v14 has introduced a handful of new features and improvements, but the first versions needed refinement before Tesla made an effort to expand the population. It had issues with a brake stutter, but this has been mostly resolved.

Additionally, the rollout of the new Mad Max Speed Profile has gathered some attention.

Now that Tesla has started rolling out v14.1.3 yesterday to EAP members, the company ultimately decided that it was time to expand the software to more vehicles, as many owners are reporting that they’re receiving it:

Additionally, the suite has started to expand to Model S and Model X vehicles, so this rollout is not exclusive to Model 3 and Model Y:

The only issue with this rollout is that it still appears to be missing the Cybertruck, which Tesla was transparent about earlier this month. Although the company planned to release v14 to Cybertrucks by the end of the month, there has been no hint that this is going to happen.

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This is already the third iteration of v14 in the past two weeks, indicating that Tesla is truly addressing the shortcomings of past versions and rolling out updates as quickly as possible.

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