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

Credit: Drive in EV/Twitter

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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.

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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. 

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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Elon Musk

Elon Musk teases massive new Tesla-xAI joint project known as ‘Digital Optimus’

It is the latest move by a Musk company to automate, streamline, and reduce the manual, monotonous, and tedious work currently performed by humans through AI and robotics development. Digital Optimus will be capable of processing and actioning the past five seconds of a real-time computer screen video and keyboard and mouse actions.

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Credit: Grok

Elon Musk teased a massive new project, to be developed jointly by Tesla and xAI, called “Digital Optimus” or “Macrohard,” the first development under Tesla’s investment agreement with xAI.

Musk announced on X that Digital Optimus will “be capable of emulating the function of entire companies.”

It is the latest move by a Musk company to automate, streamline, and reduce the manual, monotonous, and tedious work currently performed by humans through AI and robotics development. Digital Optimus will be capable of processing and actioning the past five seconds of a real-time computer screen video and keyboard and mouse actions.

Essentially, it will be an AI version of a desk worker in many capacities, including accounting, HR tasks, and others.

Musk said:

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“Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of real-time computer screen video and keyboard/mouse actions. Grok is like a much more advanced and sophisticated version of turn-by-turn navigation software. You can think of it as Digital Optimus AI being System 1 (instinctive part of the mind) and Grok being System 2. (thinking part of the mind).”

Its key applications would be used for enterprise automation, simulating entire companies, high-volume repetitive tasks, and potentially, future hybrid use with the Optimus robot, which would handle physical tasks, while Digital Optimus would handle the clerical work.

Tesla announces massive investment into xAI

The creation of a digital AI suite like Digital Optimus would help companies save time and money, as well as become more efficient in their operations through massive scalability. However, there will undoubtedly be concerns from people who are skeptical of a fully-integrated AI workhorse like this one.

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From an energy consumption perspective and just a general concern for the human workforce, these types of AI projects are polarizing in nature.

However, Digital Optimus would be a great digital counterpart to Tesla’s physical Optimus robot, as it would be a hyper-efficient addition to any company that is looking for more production for less cost.

Musk maintains that there is no other company on Earth that will be able to do this.

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Tesla China posts strong February wholesale growth at Gigafactory Shanghai

The update was shared by Tesla observers on social media platform X, citing monthly China Passenger Car Association (CPCA) data.

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Credit: Grace Tao/Weibo

Tesla China sold 58,599 vehicles wholesale in February, reflecting strong year-over-year growth. The figure includes both domestic deliveries in China and vehicles exported to international markets.

The update was shared by Tesla observers on social media platform X, citing monthly China Passenger Car Association (CPCA) data.

Tesla’s February wholesale result represents a 91% increase year over year, compared with 30,688 vehicles in February 2025. Month over month, the result was down 15.2% from January, when Tesla China recorded 69,129 wholesale units.

The February total reflects combined sales of the Model 3 and Model Y produced at Gigafactory Shanghai. The facility produces the two vehicles for both domestic sales and exports.

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Gigafactory Shanghai continues to serve as Tesla’s primary vehicle export hub, supplying vehicles to markets across Asia and Europe. Data compiled by Tesla watchers shows that 18,485 vehicles were sold domestically in China in January 2026, while exports accounted for 50,644 units during the same period.

Tesla has also been extending financing programs in China as it pushes to strengthen domestic demand. The company recently extended its seven-year ultra-low-interest and five-year interest-free financing programs through March 31, marking the second extension of the promotion this year.

The financing initiative was first introduced on January 6 as a strategy aimed at offsetting higher ownership costs ahead of China’s planned 5% NEV purchase tax in 2026. The promotion was originally scheduled to expire at the end of January before being extended to February and then again through the end of the first quarter.

Tesla’s efforts come amid growing competition in China’s EV market. According to data compiled by CNEV Post, Tesla’s 2025 retail sales in China reached 625,698 vehicles, representing a 4.78% year-over-year decline. Part of that decline was linked to the Model Y changeover to its updated variant in early 2025, which temporarily reduced deliveries during the transition period.

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Tesla Model Y L spotted on transport trucks in Australia

One of the sightings was reported along Victoria Parade in Melbourne, and it showed multiple Model Y L vehicles on a transport carrier. 

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Tesla’s upcoming Model Y L has been spotted on transport trucks in Australia. Sightings of the six-seat extended wheelbase Model Y variant have been reported on social media platform X by members of the Australian Tesla community.

One of the sightings was reported along Victoria Parade in Melbourne, and it showed multiple Model Y L vehicles on a transport carrier. 

The sighting follows earlier observations by Tesla enthusiasts in Sydney, where a covered vehicle believed to be a Model Y L was spotted at a Supercharger.

The Sydney sighting drew attention after observers noted that the vehicle’s tare weight appeared to match the ADR approval listing for the Model Y L, suggesting it could indeed be the extended wheelbase variant of the electric SUV.

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Tesla has previously confirmed that the Model Y L will launch in Australia and New Zealand in 2026. The confirmation was reported by techAU following a media release from Tesla Australia and New Zealand.

The Model Y L expands the existing Model Y lineup with seating for six passengers. The vehicle features a longer body compared with the standard Model Y in order to accommodate a spacious second and third row.

Tesla has opted for a 2-2-2 seating configuration instead of a traditional seven-seat layout for the Model Y L. The design includes two individual seats in the middle row to provide easier access to the third row and additional passenger space.

Tesla Australia and New Zealand has also stated that the Model Y L will be covered under the company’s updated warranty structure beginning in 2026.

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Tesla has not yet announced pricing or official range figures for the Model Y L in Australia.

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