On the 11th of November, at 11:11 p.m. PST, Tesla started the initial rollout of FSD Beta V11. The update was extremely exciting, in no small part due to the fact that it represented the first iteration of Tesla’s Full Self-Driving Beta that utilizes a single stack.
Tesla, however, has been very cautious with the rollout of FSD Beta V11. Days passed, and numerous FSD Beta testers were yet to receive the highly-anticipated update. Elon Musk later noted that a wider release of V11 should happen before Thanksgiving.
Details of the changes present in FSD Beta V11 are scarce, especially since only partial release notes of the update were shared online. That is, at least, until now. Thanks to the efforts of longtime FSD Beta testers such as @WholeMarsBlog, the full release notes of Tesla’s V11 update are now publicly available.
Following are the full release notes of Tesla’s FSD Beta V11.
FSD Beta V11 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.
– Improved Occupancy Network’s recall for close by obstacles and precision in severe weather conditions with 4x increase in transformer spatial resolution, 20% increase in image featurizer capacity, improved side camera calibration, and 260k more video training clips (real-world and simulation).
– Improved merging behavior by leveraging lane geometry and lane bounds, association with coarse map information and better gap selection algorithms, allowing for a smoother and safer experience.
– Added highway behavior to offset away from blocked lanes and generic obstacles like road debris while also adding a smooth hand- off between in-lane offsetting and lane changing.
– Improved speed-based lane change decisions to better avoid slowing down traffic in fast lanes, and interfere less with navigation.
– Reduced sensitivity for speed-based lane changes in CHILL mode.
– Improved lane changes to allow higher jerk maneuvers if required to stay on-route or to move away from lane blockages.
– Improved smoothness at highway lane splits by being less strict about centering between lane lines and allowing lower jerk maneuvers, where safe to do so.
– Reduced latency of trajectory optimization by 20% on average, without sacrificing behavior, by leveraging numerical tricks for more efficient computations.
Press the “Video Record” button on the top bar UI to share your feedback. When pressed, your vehicle’s external cameras will share a short VIN-associated Autopilot Snapshot with the Tesla engineering team to help make improvements to FSD. You will not be able to view the clip.
For now, video demonstrations of FSD Beta V11’s capabilities are yet to populate video sharing sites such as YouTube. With the update poised for a wider release in the coming weeks, however, it’s only a matter of time before stress tests and demonstrations of FSD Beta V11 in action are shared online.
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Elon Musk
Tesla FSD mocks BMW human driver: Saves pedestrian from near miss
Tesla FSD anticipated a BMW driver’s lane drift before the human behind the wheel could react.
A video posted to r/TeslaFSD this week put a sharp spotlight on Tesla’s Full Self-Driving (FSD) software being able to react to pedestrian intent than an actual human driver behind the wheel. In the Reddit clip, a BMW driver can be seen rolling through a neighborhood street completely unaware of a pedestrian stepping in to cross. At the same time, a Tesla driving on FSD had already begun slowing down before the pedestrian even began their attempt to cross the street The BMW kept moving, prompting the pedestrian to hop back, while the Tesla came to a stop and provide right-of-way for the human to safely cross.
That gap between what the BMW driver saw and what FSD had already processed is the story. Tesla FSD wasn’t reacting to a person in the street, rather it was reading the signals that a person was about to enter it based on the pedestrian’s movement, trajectory, and their trajectory to telegraph intent.
Tesla’s FSD is now built on an end-to-end neural network trained on billions of real-world miles, learning to interpret subtle human behavioral cues the same way an experienced human driver does instinctively. The difference is consistency. A human driver distracted for two seconds misses what FSD does not.
Tesla sues California DMV over Autopilot and FSD advertising ruling
Reddit commenters in the thread were blunt about the BMW driver’s failure, with several pointing out that the pedestrian was visible well before the crossing. One response put it plainly that the car on FSD saw the situation developing before the human in the other car had registered there was a situation at all.
Tesla has published data showing FSD (Supervised) is 54% safer than a human driver, accumulated across billions of miles driven on the system. Elon Musk has said FSD v14 will outperform human drivers by a factor of two to three, and that v15 has “a shot” at a 10x improvement. Pedestrian safety is where the stakes are highest, and where intent prediction closes the gap fastest. At 30 mph, a car covers roughly 44 feet per second. An extra second of awareness from reading a person’s body language rather than waiting for them to step out is often the difference between a near miss and a fatality.
Video and community discussion: r/TeslaFSD on Reddit
FSD saves man from becoming a pancake. BMW driver nearly flattens him.
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Tesla Robotaxi gets a small but significant change
In the world of Tesla, where billion-dollar battery breakthroughs and autonomy milestones dominate headlines, a quiet design update can still pack a punch.
In the world of Tesla, where billion-dollar battery breakthroughs and autonomy milestones dominate headlines, a quiet design update can still pack a punch.
Last week in downtown Austin, sharp-eyed observers spotted a subtle but telling evolution on the Cybercab: a new “ROBOTAXI” logo graphic now graces the vehicle’s doors at Tesla’s Autonomy Popup.
What looks at first glance like a minor stylistic choice is, in fact, a deliberate rebranding move that hints at how the company envisions its robotaxi fleet fitting into everyday life.
The updated lettering is bold, graffiti-inspired, and unapologetically street-smart. Rendered in black with dripping white accents and a glowing yellow outline, the font evokes urban energy and playful irreverence.
Live From Downtown Austin:
Tesla Cybercab with new logo Graphic at their Autonomy Popup pic.twitter.com/MTTb9KDr3b
— David Moss (@DavidMoss) March 13, 2026
Gone is the sleek, minimalist typography that defined earlier Cybercab prototypes. In its place is something more human, almost rebellious.
The new logo pops against the Cybercab’s smooth, metallic body, turning the autonomous pod into a rolling piece of public art rather than just another futuristic taxi.
Designers know that fonts are silent brand ambassadors. They shape perception before a single ride is taken. Tesla’s classic sans-serif aesthetic screams precision engineering and Silicon Valley cool.
The new Robotaxi script leans into accessibility and fun, suggesting the vehicle is approachable, not intimidating. For a product meant to ferry strangers through city streets 24/7, that matters. It signals that the robotaxi isn’t reserved for tech elites; it’s for everyone.
Tesla Cybercab spotted next to Model Y shows size comparison
The timing is no accident. With regulatory approvals for unsupervised autonomy advancing and Tesla preparing to scale Cybercab production, the company is shifting from prototype showcase to fleet deployment.
A fresh logo helps differentiate the vehicles visually in dense urban environments—crucial for rider recognition and brand recall. It also aligns with Elon Musk’s long-standing ethos: make the future feel exciting, not sterile.
Small changes like this often foreshadow a larger strategy. Tesla has always obsessed over details—door handles, screen interfaces, even the curvature of a steering wheel.
Updating the Robotaxi font reflects the same meticulous care now applied to consumer-facing autonomy. It’s not just paint on metal; it’s a statement that the ride of the future should feel personal, memorable, and undeniably cool.
In an industry racing toward self-driving fleets, Tesla’s willingness to evolve even the smallest visual cues shows confidence. A font won’t launch the robotaxi network, but it might just help millions climb aboard with a smile.
News
Tesla makes latest announcement on Model S and Model X
The announcement follows Tesla CEO Elon Musk’s statement on the Q4 2025 earnings call in late January. Musk described the decision as an “honorable discharge” for the two vehicles, noting that production would wind down in Q2 2026.
Tesla has officially begun winding down production of its flagship Model S and Model X in the United States, notifying owners via email that the long-running models will soon reach the end of the line.
The email, sent to U.S. customers on March 27, opens with gratitude. “Model S and Model X marked the beginning of the world’s transition to electric transportation,” it reads. “These vehicles also made it possible for Tesla to develop the technology that would move our world toward autonomy.”
It then delivers the news directly: “As we make way for this autonomous future, Model S and Model X production will be ending. If you’d like to bring home a new Model S or Model X, order yours soon from our limited inventory.”
Tesla just sent out a new email thanking Model S/X owners.
“These vehicles made it possible for Tesla to develop the technology that would move our world toward autonomy. As we make way for this autonomous future, Model S and Model X production will be ending. If you’d like to… pic.twitter.com/IeUhZ3iDnX
— Sawyer Merritt (@SawyerMerritt) March 27, 2026
The message closes with a simple thank-you: “Thank you for being part of our journey.”
The announcement follows Tesla CEO Elon Musk’s statement on the Q4 2025 earnings call in late January. Musk described the decision as an “honorable discharge” for the two vehicles, noting that production would wind down in Q2 2026.
The move frees factory floor space at Fremont, California, for next-generation manufacturing, including Optimus humanoid robots and the upcoming Robotaxi platform.
Introduced in 2012 and 2015, respectively, the Model S and Model X were Tesla’s original halo cars. They proved EVs could outperform gasoline luxury vehicles in acceleration, range, and tech features while pioneering over-the-air updates and early autonomy hardware.
Although they never matched the volume of the Model 3 and Model Y, their engineering breakthroughs laid the foundation for the company’s current lineup and full self-driving development.
Early adopters highlighted how the cars convinced them to invest in Tesla stock and the EV movement. Some U.S. owners who had not yet received the note voiced mild frustration, and international customers confirmed the outreach remains U.S.-only for now.
Tesla has not detailed an exact final production date beyond the Q2 2026 target or confirmed immediate replacements. Speculation continues about a possible Cybertruck-derived SUV, but the company’s public focus has shifted squarely to autonomy and robotics.
For buyers still interested in the S or X, the window is closing. Inventory is described as limited, and Tesla’s Korean division has already set a March 31 cutoff for new orders in that market. The email serves as both a farewell and final sales push, an elegant close to a chapter that helped define modern electric driving.