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.
Tesla Full Self-Driving is now the centerpiece of the company’s newly revised Referral Program, which launched on October 29.
Instead of referring people to purchase vehicles and the referrer receiving $250 in Tesla Credit, the new program now incentivizes Full Self-Driving subscriptions.
If a Tesla owner is on an FSD trial and uses a referral code to subscribe to Full Self-Driving, the person whose Referral Link was used will receive one month of FSD (Supervised). Their code can be utilized 12 times per year, with January 1 marking the reset date.
Realistically, this means that if your Referral Code is used by 12 Tesla owners on an FSD trial, you will receive a full year of FSD for free.
🚨 Here is Tesla’s new Referral Program for Full Self-Driving (Supervised):
When someone subscribes to FSD using your link, you’ll get a month free. Up to a year of FSD is available to you for free!
If you’d like to use my link: https://t.co/g00IX9OCE3 https://t.co/GFBzEO2jjS
— TESLARATI (@Teslarati) October 30, 2026
The previous program made it pretty difficult to get referrals; buying a vehicle is obviously a much larger financial strain than subscribing to Full Self-Driving for a month.
Of course, the previous Referral Program also offered a tangible benefit: $250 in credits you could use on Service, Supercharging, or anything in the Tesla Shop. It truly could pay for someone’s travel for a year. It recently bought me a new backpack and a T-shirt.
However, this new program is much more attainable for those who do not have a massive online presence of a slew of friends in the Tesla community who will use the code and max out subscriptions for vehicle purchases.
Woke up to maxed out Referrals! Thank you guys, that’s awesome!
Share your referral link below so others can use it! https://t.co/kesbwTcoTV
— TESLARATI (@Teslarati) October 30, 2026
The Full Self-Driving suite will now be the keystone of the Referral Program, which makes it more inclusive and more fun for everyone with an awesome benefit.
It also gives the impression that Tesla is truly focused on FSD subscriptions, something that saw a tremendous increase in volume in Q3, as 75 percent of deliveries for the quarter came with an FSD subscription attached.
Full Self-Driving data is so instrumental to the suite’s improvement that this kind of program benefits Tesla as much as it does the consumer.
Elon Musk
Tesla made napping in a Robotaxi easier with its latest update
Tesla’s quiet mode reaches Model Y Robotaxis, blacking out the screen for riders wanting rest.
Tesla’s quiet mode, the setting that blacks out the screen for riders who want to rest, has moved beyond the Cybercab. A video posted Thursday by Spencer (@scotsrule08) shows the feature running in a Model Y Robotaxi on a night ride that appears to be in Dallas.
New quiet mode now on @Robotaxi https://t.co/2cM2eM9NeN — Spencer (@scotsrule08) October 29, 2026
The rider taps a small crescent moon icon in the bottom right corner of the map screen. The map, media player, app shortcuts and Grok prompt disappear, leaving a dark display with “Arriving soon,” the destination and a line reading “Tap display to exit quiet mode.” Controls a passenger may still need, including Pull Over, cabin temperature, volume and Support, stay visible. One tap anywhere brings the full map back.
Quiet mode first showed up in the Cybercab last week, which Teslarati reported alongside a new rear camera view. Tesla has been trimming cabin noise in other ways too. On October 25, Spencer reported that Robotaxi turn signals now chime for the first four blinks and then go silent. Tesla has not published release notes for either change.
Elon Musk has been pitching this use for more than a decade. In October 2014, he said that “maybe five or six years from now I think we’ll be able to achieve true autonomous driving where you could literally get in the car, go to sleep and wake up at your destination,”
By 2017 he was setting a higher bar. Speaking at TED, Musk said the hard part was not making self-driving work 99.9 percent of the time, “because, like, if a car crashes one in a thousand times, then you’re probably still not going to be comfortable falling asleep. You shouldn’t be, certainly.”
Owners asked for something similar in their own cars. In December 2019, a Tesla owner requested a Nap Mode that would keep the climate running and wake the occupant with an alarm, and Musk answered “Ok,” as Teslarati covered at the time.
The line returned when the Cybercab was unveiled at the We, Robot event in October 2024. “We’ll move from supervised Full Self-Driving to unsupervised Full Self-Driving, where you can fall asleep and wake up at your destination,” Musk said. On Tesla’s first quarter earnings call in April 2025, he called it the deciding measure: “The acid test is, can you go to sleep in your car and wake up in your destination and I’m confident that will be available in many cities in the US by the end of this year,”
Tesla has run driverless Model Y rides in Dallas and Houston since April, so a passenger dozing off on the way home is now a realistic use of the button. Tesla is also offering new riders a free first trip in both cities, according to an in-app screen shared by tracker Ethan McKanna, and said on its third quarter call that Cybercab rides would launch in Dallas next month.
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FCC green lights SpaceX’s move to a showdown with Verizon and AT&T
The FCC advanced plans opening 482 MHz to satellite phone service, boosting SpaceX’s Starlink Mobile.
The Federal Communications Commission voted Thursday to move forward with a proposal that would open an additional 482 MHz of spectrum to satellite service beamed directly to ordinary phones, a step that could widen the road for SpaceX’s Starlink Mobile to compete with the country’s largest wireless carriers.
The commission adopted the notice of proposed rulemaking at its October open meeting in Washington, Reuters reported. The proposal would raise the number of bands eligible for Supplemental Coverage from Space from five to 13, according to the FCC fact sheet. Commissioners also advanced a companion item proposing an auction of 25 MHz in the 1675 to 1695 MHz and 2020 to 2025 MHz bands, which could be used for terrestrial service, direct to device service or both.
Thursday’s vote does not hand any spectrum to SpaceX. It opens a public comment period, and final rules will come later. Under the draft, comments would be due 60 days after the notice is published in the Federal Register. The FCC had not released the adopted text at the time of writing, so it is not yet clear whether any bands were changed before the vote.
That question is where the fight now moves. AT&T, Verizon and T-Mobile, through industry group CTIA, asked the FCC to drop the 2.5 GHz and 3.45 GHz bands, which make up 290 MHz of the 482 MHz on the table, as Teslarati reported ahead of the vote. T-Mobile argued satellite interference could wipe out up to 96% of a cell site’s uplink coverage area. SpaceX asked the commission to go the other way and add the 902 to 928 MHz band.
The rule change that matters most to SpaceX may be a structural one. Today, a satellite operator must lease spectrum from every carrier holding co-channel licenses across an entire region such as the contiguous United States. The proposal would replace that with a certification that the operator has coexistence agreements covering only the areas it plans to serve, or that it holds the terrestrial licenses itself.
SpaceX has spent this year building that second path. It bought EchoStar’s AWS-4 and H-block licenses in a deal worth roughly $17 billion, and earlier this month agreed to acquire Grain Management’s nationwide 800 MHz portfolio, which the company said would pave the way for Starlink to become a major US mobile carrier. The FCC approved SpaceX’s purchase of three unused AWS-3 licenses from Tristar on October 21, and cleared its plan for 15,000 next generation direct to cell satellites on October 6.
The regulator has not always sided with SpaceX. In April, the FCC dismissed a SpaceX petition seeking access to Mobile Satellite Service spectrum held by incumbents, and it rejected 2.5 GHz for satellite coverage when it first adopted the framework in 2024.
The carriers are also building their own defenses. In May, the three companies agreed in principle to form a joint venture pooling spectrum for satellite service, and T-Mobile remains SpaceX’s US launch partner for Starlink Mobile even as it leads the push to keep satellites out of 2.5 GHz. SpaceX President Gwynne Shotwell has said service on SpaceX’s own airwaves is targeted for early 2028.
Tesla Full Self-Driving becomes main pillar of new Referral Program
Tesla made napping in a Robotaxi easier with its latest update
