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Tesla FSD Beta 10.69 release notes highlight better left turns, smoother driving
Tesla released FSD Beta 10.69 to the first round of testers over the weekend. Read v.10.69’s release notes below to check out the latest improvements.
Stay in your Lanes
- Added a new “deep lane guidance” module to the Vector Lanes neural network which fuses features extracted from the video streams with coarse map data, i.e. lane counts and lane connectivites. This architecture achieves a 44% lower error rate on lane topology compared to the previous model, enabling smoother control before lanes and their connectivities becomes visually apparent. This provides a way to make every Autopilot drive as good as someone driving their own commute, yet in a sufficiently general way that adapts for road changes.
Nothing Like Smooth Driving
- Improved overall driving smoothness, without sacrificing latency, through better modeling of system and actuation latency in trajectory planning. Trajectory planner now independently accounts for latency from steering commands to actual steering actuation, as well as acceleration and brake commands to actuation. This results in a trajectory that is a more accurate model of how the vehicle would drive. This allows better downstream controller tracking and smoothness while also allowing a more accurate response during harsh manevuers.
- Increased smoothness for protected right turns by improving the association of traffic lights with slip lanes vs yield signs with slip lanes. This reduces false slowdowns when there are no relevant objects present and also improves yielding position when they are present.
- Reduced false slowdowns near crosswalks. This was done with improved understanding of pedestrian and bicyclist intent based on their motion.
- Enabled creeping for visibility at any intersection where objects might cross ego’s path, regardless of presence of traffic controls.
- Improved accuracy of stopping position in critical scenarios with crossing objects, by allowing dynamic resolution in trajectory optimization to focus more on areas where finer control is essential.
- Reduced latency when starting from a stop by accounting for lead vehicle jerk.
Chuck’s Left Turn
- Improved unprotected left turns with more appropriate speed profile when approaching and exiting median crossover regions, in the presence of high speed cross traffic (“Chuck Cook style” unprotected left turns). This was done by allowing optimizable initial jerk, to mimic the harsh pedal press by a human, when required to go in front of high speed objects. Also improved lateral profile approaching such safety regions to allow for better pose that aligns well for exiting the region. Finally, improved interaction with objects that are entering or waiting inside the median crossover region with better modeling of their future intent.
Safety is Number 1
- Added control for arbitrary low-speed moving volumes from Occupancy Network. This also enables finer control for more precise object shapes that cannot be easily represented by a cuboid primitive. This required predicting velocity at every 3D voxel. We may now control for slow-moving UFOs.
- Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.
- Improved speed when entering highway by better handling of upcoming map speed changes, which increases the confidence of merging onto the highway.
- Enabled faster identification of red light runners by evaluating their current kinematic state against their expected braking profile.
Tesla FSD “Brain” Improvements
- Upgraded Occupancy Network to use video instead of images from single time step. This temporal context allows the network to be robust to temporary occlusions and enables prediction of occupancy flow. Also, improved ground truth with semantics-driven outlier rejection, hard example mining, and increasing the dataset size by 2.4x.
- Upgraded to a new two-stage architecture to produce object kinematics (e.g. velocity, acceleration, yaw rate) where network compute is allocated O(objects) instead of O(space). This improved velocity estimates for far away crossing vehicles by 20%, while using one tenth of the compute.
- Improved geometry error of ego-relevant lanes by 34% and crossing lanes by 21% with a full Vector Lanes neural network update. Information bottlenecks in the network architecture were eliminated by increasing the size of the per-camera feature extractors, video modules, internals of the autoregressive decoder, and by adding a hard attention mechanism which greatly improved the fine position of lanes.
- Improved recall of animals by 34% by doubling the size of the auto-labeled training set.
- Increased recall of forking lanes by 36% by having topological tokens participate in the attention operations of the autoregressive decoder and by increasing the loss applied to fork tokens during training.
- Improved velocity error for pedestrians and bicyclists by 17%, especially when ego is making a turn, by improving the onboard trajectory estimation used as input to the neural network.
- Improved recall of object detection, eliminating 26% of missing detections for far away crossing vehicles by tuning the loss function used during training and improving label quality.
- Improved object future path prediction in scenarios with high yaw rate by incorporating yaw rate and lateral motion into the likelihood estimation. This helps with objects turning into or away from ego’s lane, especially in intersections or cut-in scenarios.
Tesla is rolling out FSD Beta v.10.69 in phases, starting with ~1,000 testers over the weekend. Once the update is rolled out for wide release, the price of FSD Beta will increase.
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Tesla FSD successfully completes full coast-to-coast drive with zero interventions
Tesla community members celebrated the milestone on X, and the feat earned praise from some of the electric vehicle maker’s executives.
A Tesla owner has successfully completed a full coast-to-coast drive across the United States on Full Self-Driving (FSD) Supervised. The trip was accomplished with zero interventions.
Tesla community members celebrated the milestone on X, and the feat earned praise from some of the electric vehicle maker’s executives.
FSD Coast-to-Coast
The coast-to-coast feat was accomplished by Tesla owner Davis Moss, who drives a stealth gray Model 3 with AI4 hardware. Based on data from the FSD database and a community tracker, the last 10,638.8 miles Moss drove in his Model 3 were completed using FSD 100% of the time. His vehicle is equipped with FSD v14.2.1.25, which was installed 12 days ago.
As per Moss in a celebratory post on X, his Model 3 was able to complete a full coast-to-coast drive across the United States in 2 days and 20 hours. His trip started at the Tesla Diner in Los Angeles, CA, and it ended in Myrtle Beach, SC. Overall, his trip spanned 2,732.4 miles.
“This was accomplished with Tesla FSD V14.2 with absolutely 0 disengagements of any kind even for all parking including at Tesla Superchargers,” Moss stated in his post. He also added in later comments that there were zero close calls during the trip.
Tesla community celebrates
The FSD milestone trip was widely lauded by members of the Tesla community, especially since a coast-to-coast drive with zero interventions has been cited by Elon Musk as a target since October 2016, when Autopilot 2.0 was unveiled. At the time, Musk initially estimated that a coast-to-coast drive across the United States should be possible by the end of 2017. Considering Moss’ feat in his Model 3, it appears that Elon Musk’s estimate was not impossible at all. It was just late.
Musk himself celebrated the milestone on X, and so did Tesla VP of AI Software Ashok Elluswamy, who wrote “World’s first fully autonomous coast-to-coast drive, done with Tesla self-driving v14. Congrats and thank you @DavidMoss!” in a post on X. The official Tesla North America account also celebrated the feat, writing “First Tesla to drive itself from coast to coast w/ FSD Supervised. 0 interventions, all FSD” on X.
Elon Musk
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
The Model Y has now established an impressive streak that would otherwise have been impossible before Tesla.
Elon Musk has announced that the Tesla Model Y has become the world’s best-selling car by volume for the third consecutive year, capping 2025 with another dominant performance.
The Model Y has now established an impressive streak that would otherwise have been impossible before Tesla.
Three years in a row
Musk posted on X: “Tesla Model Y is now officially the world’s best-selling car for the third year in a row!” The CEO’s comment echoed an update that Tesla included in its 2025 recap, which highlighted, among other things, the Model Y’s incredible streak.
The Model Y has held the title since 2023, outperforming traditional leaders like the Toyota RAV4 and Corolla thanks to its bang-for-the-buck nature and its stellar combination of practicality, performance, and tech. The Model Y is also lauded as one of the safest vehicles on the road, making it an ideal choice for families in key markets such as China.
An impressive 2025
The Model Y’s sales feat in 2025 is especially impressive considering the introduction of the vehicle’s new variant. Tesla’s changeover to the new Model Y across its global factories resulted in sales being paused for some time in the first quarter. As per Tesla’s Q1 2025 vehicle delivery and production report, “the changeover of Model Y lines across all four of our factories led to the loss of several weeks of production in Q1.”
This suggests that the Model Y’s sales remained strong in 2025 to the point where it could still claim the title of the world’s best-selling vehicle by volume, even with its sales being throttled during the first quarter of the year. It would then be interesting to see just how far the Model Y can go in 2026, especially considering the rollout of new variants like the six-seat extended wheelbase Model Y L, the affordable Model Y Standard, and the top-tier Model Y Performance.
News
Tesla shares epic 2025 recap video, confirms start of Cybercab production
The cinematic montage, posted by the official Tesla account on X, celebrated the company’s progress in EVs, energy, and Robotaxi development.
Tesla has released an epic year-in-review video for 2025, recapping some of its major achievements from refreshed models to autonomy breakthroughs and production ramps.
The cinematic montage, posted by the official Tesla account on X, celebrated the company’s progress in EVs, energy, and Robotaxi development while looking ahead to an even bigger 2026.
Tesla’s 2025 highlights recap
Tesla has had a busy 2025, as highlighted in the recap video. The video opened with Elon Musk explaining the company’s pursuit of sustainable abundance. A number of milestones were then highlighted, such as the rollout of FSD v14, Optimus’ numerous demos, the opening of the Tesla Diner in Hollywood, LA, the completion of the world’s first autonomous car delivery, and the launch of the Robotaxi network in Austin and the San Francisco Bay Area.
Tesla also highlighted several of its accomplishments over the year. As per the company, the Model Y was the year’s best-selling vehicle globally again, and Teslas became more affordable than ever thanks to the Model 3 and Model Y Standard. Other key models were also rolled out, such as the refreshed Model S and X, as well as the new Model Y, the new Model Y Performance, and the six-seat, extended wheelbase Model Y L.
The Megablock was also unveiled during the year, and the Supercharger Network grew by 18%. Over 1 million Powerwalls were also installed during the year, and the Cybertruck became the first EV truck to get both an IIHS Top Safety Pick+ award and an NHTSA 5-Star safety rating.
Cybercab production confirmed
Interestingly enough, Tesla also confirmed in its 2025 recap video that the production of the Cybercab has started. This bodes well for the vehicle, as it could result in the vehicle really being mass-produced in the first half of 2026. Elon Musk confirmed during the 2025 Annual Shareholder Meeting that Cybercab production should earnestly start around April 2026.
Musk has also noted that the Cybercab will be Tesla’s highest-volume vehicle yet, with the company aiming for an annual production rate of about 2 million units. “If you’ve seen the design of the Cybercab line, it doesn’t look like a normal car manufacturing line,” Musk said earlier this year. “It looks like a really high-speed consumer electronics line. In fact, the line will move so fast that actually people can’t even get close to it.”
Tesla FSD successfully completes full coast-to-coast drive with zero interventions
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
