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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.
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’s new Full Self-Driving pricing strategy will eliminate one recurring complaint that many owners have had in the past: FSD transfers.
In the past, if a Tesla owner purchased the Full Self-Driving suite outright, the company did not allow them to transfer the purchase to a new vehicle, essentially requiring them to buy it all over again, which could obviously get pretty pricey.
This was until Q3 2023, when Tesla allowed a one-time amnesty to transfer Full Self-Driving to a new vehicle, and then again last year.
Tesla is now allowing it to happen again ahead of the February 14th deadline.
The program has given people the opportunity to upgrade to new vehicles with newer Hardware and AI versions, especially those with Hardware 3 who wish to transfer to AI4, without feeling the drastic cost impact of having to buy the $8,000 suite outright on several occasions.
Now, that issue will never be presented again.
Last night, Tesla CEO Elon Musk announced on X that the Full Self-Driving suite would only be available in a subscription platform, which is the other purchase option it currently offers for FSD use, priced at just $99 per month.
Tesla is shifting FSD to a subscription-only model, confirms Elon Musk
Having it available in a subscription-only platform boasts several advantages, including the potential for a tiered system that would potentially offer less expensive options, a pay-per-mile platform, and even coupling the program with other benefits, like Supercharging and vehicle protection programs.
While none of that is confirmed and is purely speculative, the one thing that does appear to be a major advantage is that this will completely eliminate any questions about transferring the Full Self-Driving suite to a new vehicle. This has been a particular point of contention for owners, and it is now completely eliminated, as everyone, apart from those who have purchased the suite on their current vehicle.
Now, everyone will pay month-to-month, and it could make things much easier for those who want to try the suite, justifying it from a financial perspective.
The important thing to note is that Tesla would benefit from a higher take rate, as more drivers using it would result in more data, which would help the company reach its recently-revealed 10 billion-mile threshold to reach an Unsupervised level. It does not cost Tesla anything to run FSD, only to develop it. If it could slice the price significantly, more people would buy it, and more data would be made available.
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Tesla Model 3 and Model Y dominates U.S. EV market in 2025
The figures were detailed in Kelley Blue Book’s Q4 2025 U.S. Electric Vehicle Sales Report.
Tesla’s Model 3 and Model Y continued to overwhelmingly dominate the United States’ electric vehicle market in 2025. New sales data showed that Tesla’s two mass market cars maintained a commanding segment share, with the Model 3 posting year-to-date growth and the Model Y remaining resilient despite factory shutdowns tied to its refresh.
The figures were detailed in Kelley Blue Book’s Q4 2025 U.S. Electric Vehicle Sales Report.
Model 3 and Model Y are still dominant
According to the report, Tesla delivered an estimated 192,440 Model 3 sedans in the United States in 2025, representing a 1.3% year-to-date increase compared to 2024. The Model 3 alone accounted for 15.9% of all U.S. EV sales, making it one of the highest-volume electric vehicles in the country.
The Model Y was even more dominant. U.S. deliveries of the all-electric crossover reached 357,528 units in 2025, a 4.0% year-to-date decline from the prior year. It should be noted, however, that the drop came during a year that included production shutdowns at Tesla’s Fremont Factory and Gigafactory Texas as the company transitioned to the new Model Y. Even with those disruptions, the Model Y captured an overwhelming 39.5% share of the market, far surpassing any single competitor.
Combined, the Model 3 and Model Y represented more than half of all EVs sold in the United States during 2025, highlighting Tesla’s iron grip on the country’s mass-market EV segment.
Tesla’s challenges in 2025
Tesla’s sustained performance came amid a year of elevated public and political controversy surrounding Elon Musk, whose political activities in the first half of the year ended up fueling a narrative that the CEO’s actions are damaging the automaker’s consumer appeal. However, U.S. sales data suggest that demand for Tesla’s core vehicles has remained remarkably resilient.
Based on Kelley Blue Book’s Q4 2025 U.S. Electric Vehicle Sales Report, Tesla’s most expensive offerings such as the Tesla Cybertruck, Model S, and Model X, all saw steep declines in 2025. This suggests that mainstream EV buyers might have had a price issue with Tesla’s more expensive offerings, not an Elon Musk issue.
Ultimately, despite broader EV market softness, with total U.S. EV sales slipping about 2% year-to-date, Tesla still accounted for 58.9% of all EV deliveries in 2025, according to the report. This means that out of every ten EVs sold in the United States in 2025, more than half of them were Teslas.
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Tesla Model 3 and Model Y earn Euro NCAP Best in Class safety awards
“The company’s best-selling Model Y proved the gold standard for small SUVs,” Euro NCAP noted.
Tesla won dual categories in the Euro NCAP Best in Class awards, with the Model 3 being named the safest Large Family Car and the Model Y being recognized as the safest Small SUV.
The feat was highlighted by Tesla Europe & Middle East in a post on its official account on social media platform X.
Model 3 and Model Y lead their respective segments
As per a press release from the Euro NCAP, the organization’s Best in Class designation is based on a weighted assessment of four key areas: Adult Occupant, Child Occupant, Vulnerable Road User, and Safety Assist. Only vehicles that achieved a 5-star Euro NCAP rating and were evaluated with standard safety equipment are eligible for the award.
Euro NCAP noted that the updated Tesla Model 3 performed particularly well in Child Occupant protection, while its Safety Assist score reflected Tesla’s ongoing improvements to driver-assistance systems. The Model Y similarly stood out in Child Occupant protection and Safety Assist, reinforcing Tesla’s dual-category win.
“The company’s best-selling Model Y proved the gold standard for small SUVs,” Euro NCAP noted.
Euro NCAP leadership shares insights
Euro NCAP Secretary General Dr. Michiel van Ratingen said the organization’s Best in Class awards are designed to help consumers identify the safest vehicles over the past year.
Van Ratingen noted that 2025 was Euro NCAP’s busiest year to date, with more vehicles tested than ever before, amid a growing variety of electric cars and increasingly sophisticated safety systems. While the Mercedes-Benz CLA ultimately earned the title of Best Performer of 2025, he emphasized that Tesla finished only fractionally behind in the overall rankings.
“It was a close-run competition,” van Ratingen said. “Tesla was only fractionally behind, and new entrants like firefly and Leapmotor show how global competition continues to grow, which can only be a good thing for consumers who value safety as much as style, practicality, driving performance, and running costs from their next car.”
Tesla Full Self-Driving pricing strategy eliminates one recurring complaint
Tesla Model 3 and Model Y dominates U.S. EV market in 2025
