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.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
Investor's Corner
Tesla ‘Model Q’ gets bold prediction from Deutsche Bank that investors will love
Tesla’s Model Q could be on the way soon, and a new note from Deutsche Bank thinks it will contribute to Q4 deliveries.
The Tesla “Model Q” has been in the rumor mill for the company for several years, but a recent note from Wall Street firm Deutsche Bank seems to indicate that it could be on its way in the near future.
This comes as Tesla has been indicating for several quarters that its development of affordable models was “on track” for the first half of 2025. The company did not say it would unveil the vehicles in the first half, but many are anticipating that more cost-friendly models could be revealed to the public soon.
Potential affordable Tesla “Model 2/Model Q” test car spotted anew in Giga Texas
The Deutsche Bank note refers to one of the rumored affordable models as the “Model Q,” but we’ve also seen it referred to as the “Model 2,” amongst other names. Tesla has not officially coined any of its upcoming vehicles as such, but these are more of a universally accepted phrase to identify them, at least for now.
The rumors stem from sentiments regarding Tesla’s 2025 delivery projections, which are tempered as the company seeks to maintain a steady pace compared to 2023 and 2024, when it reported 1.8 million deliveries.
Deutsche Bank’s analysts believe the deliveries could be around 1.58 million, but they state this is a cautious stance that could be impacted by several things, including the potential launch of the Model Q, which they believe will make its way to market in Q4:
“Looking at the rest of the year, we maintain a cautious stance on volume calling for 1.58m vehicle deliveries (-12% YoY) vs. consensus +1.62m, with the timing of Model Q rollout as the key swing factor (we now assume only 25k in Q4). In China, Tesla will introduce the Model Y L this fall (6 inch longer wheel base allowing for larger 3-row seating with six seats).”
Interestingly, the same firm also predicted that the Model Q would launch in the first half of the year based on a note that was released in early December 2024.
Those estimations came from a reported meeting that Deutsche Bank had with Tesla late last year, where it said it aimed to launch the Model Q for less than $30,000 and aimed for it to compete with cars like the Volkswagen ID.3 and BYD Dolphin.
Tesla’s Q2 Earnings Call is slated for this Wednesday and could reveal some additional details about the affordable models.
Elon Musk
Tesla preps to expand Robotaxi geofence once again, answering Waymo
Just days after Waymo responded to them, Tesla is preparing for a potentially massive expansion of the Robotaxi geofence.
Tesla is preparing to expand its Robotaxi geofence yet again, just days after Waymo responded to its initial broadening of the area.
Tesla launched its first expansion last week, less than a month after introducing Robotaxi rides in Austin.
The company opted for a very interesting shape for its geofence expansion, which was more of an indication that it could launch more rides in virtually any area of the city due to the new geofence it chose.
Waymo then responded to Tesla shortly after with an expansion of its own. After Tesla’s first expansion of its geofence, it had 42 square miles of Robotaxi-accessible travel region. This was larger than Waymo’s 37 square miles.
However, the Waymo expansion last week brought the company to a substantial 90 square miles of Austin:
Waymo responds to Tesla’s Robotaxi expansion in Austin with bold statement
Tesla appears to be ready to respond. Drone operator and Gigafactory Texas observer Joe Tegtmeyer spotted Tesla Robotaxi validation vehicles well west of downtown Austin in the area of Marble Falls, Texas.
This would significantly increase Tesla’s square mileage if it could manage to bring its geofence to that size:
🚨 We could see Tesla’s response to Waymo’s expansion in Austin very soon
Based on Tesla’s expansion last time, it’s safe to assume they can go to any area of Austin whenever they choose
It’s not a coincidence they chose, well, you know, the shape they did 🤣 https://t.co/xB92SQ1ntC
— TESLARATI (@Teslarati) July 19, 2025
The two companies are not directly responding to one another with these expansions, but it appears that there is a significant amount of competition underway, which ultimately benefits the consumers.
Waymo has been operating in Texas since March from a fully public perspective, while Tesla is still slowly expanding its test size for the Robotaxi fleet on a nearly daily basis. Tesla launched Robotaxi rides to a handful of Early Access Program members on June 22.
Tesla is also expanding to other regions of the United States, particularly in Arizona and California. However, the Texas expansion is a priority currently, as it is the only region where Tesla has received approval to operate passenger rides in a driverless setting in the country.
Elon Musk
Elon Musk confirms awesome new features at Tesla Diner Supercharger
More details continue to be revealed about the Tesla Supercharger Diner as its opening seems to be imminent.
Elon Musk has confirmed a few new features that will be present at the Tesla Diner Supercharger in Los Angeles.
Musk confirmed these two new details as he revealed he recently ate at the Supercharger Diner. We also recently confirmed a few menu items as a soft launch has already occurred, and a public launch date appears to be within reach.
The new features were revealed by Tesla Joy on X. We shared the details, and Musk confirmed that these are, in fact, features of the Diner that Tesla owners will be able to enjoy.
Tesla reveals key detail of Supercharger Diner, but it’s bigger than you think
The Diner is not exclusive to Tesla owners, but these two features do require a Tesla for compatibility purposes.
Order Food from Your Car
As you pull into the Supercharger Diner, you can order any food item you want, including burgers, wings, fries, shakes, cookies, and more, directly from your vehicle.
A prompt will likely appear that will open a menu to the Supercharger Diner, allowing you to order food. An employee will bring the food out, that is, if Tesla decides to continue with a true and traditional 50s diner theme.
We get it, it’s not a groundbreaking feature. It’s still cool, convenient, and another advantage to visit the diner as a Tesla owner.
Movie Screen Audio Will Sync to Your Tesla
There are two massive movie screens that will play various entertainment options during your visit to the Supercharger Diner. There have been movie clips and even SpaceX launch highlights playing during recent drone flyovers at the location on Santa Monica Boulevard.
Instead of having to open your windows to hear the content on the screen, it will instead sync the audio and play directly in your vehicle through your car stereo speakers.
True
— Elon Musk (@elonmusk) July 18, 2025
The Supercharger Diner has also appeared on the Tesla app for the first time, and is currently showing 80 stalls at the location:
🚨 The Tesla Diner is now showing up on the phone app.
80 Superchargers!!! pic.twitter.com/fdN2MzyZCg
— TESLARATI (@Teslarati) July 18, 2025
Although the stalls are not yet active, the culmination of all the details we’ve learned over the past week about the Diner only points to one thing: an imminent grand opening.
Tesla has not yet confirmed a date for the Supercharger Diner’s opening, and Los Angeles building and construction permits also do not state a specific target date for opening.
It seems as if Tesla will reveal the date itself, potentially in the coming week, as it will report earnings on Wednesday, July 23.
Tesla ‘Model Q’ gets bold prediction from Deutsche Bank that investors will love
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