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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 is pushing back against the unfair reporting of accidents involving its vehicles. Many media outlets were quick to jump to conclusions about a fatal accident involving a Tesla in Katy, Texas, that happened recently.
The driver of the vehicle, which slammed into a brick house and killed a woman inside, stated the car was operating on Autopilot. Tesla CEO Elon Musk and Head of AI Ashok Elluswamy both challenged that claim, with Elluswamy revealing last night that the system was overridden by the driver, who pressed the accelerator pedal “all the way to 100%.”
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
The car reached a speed of 73 MPH during the crash, Elluswamy detailed, and stated that the accelerator pedal was even pressed after the crash.
The story has been spread throughout the media with either incomplete or incorrect reporting, with some stories still not updated nearly 24 hours after Musk and Elluswamy posted answers about the crash on X.
The reporting has been a thorn in the side of Tesla for several years. Vehicle accidents involving Teslas are usually reported with the manufacturer’s name in the headline, while other companies are free of criticism when their cars are involved in accidents.
Here’s an example of that:
So you don’t report the vehicle’s make when it isn’t a Tesla, but you do report it when it is a Tesla?
The vehicle in your post above is a Hyundai Ioniq 5 EV. pic.twitter.com/4WT3sZ2DHm— Sawyer Merritt (@SawyerMerritt) February 17, 2026
Many media outlets stated the car was in “self-driving mode” or “Autopilot mode” when the car crashed. The truth is, now that Tesla has chimed in, that the driver had manually overriden the system by pressing the accelerator. Elluswamy commented on the unfair reporting:
“This blatantly irresponsible reporting does more harm to people than they realize.
Using Tesla self-driving is far safer than manual driving, and this was measured over 10B miles.
Planting such FUD in the minds of general public, who might not know the all the facts, might prevent them from using this technology that makes them safer.”
This blatantly irresponsible reporting does more harm to people than they realize.
Using Tesla self-driving is far safer than manual driving, and this was measured over 10B miles.
Planting such FUD in the minds of general public, who might not know the all the facts, might…
— Ashok Elluswamy (@aelluswamy) June 22, 2026
The damage these headlines do to Tesla and the self-driving car movement is unexplainable. Most people do not realize the safeguards that are in place with Tesla’s self-driving functions; many people who have used it know the car would never travel at that speed in a residential area, not even on the most aggressive “Mad Max” setting.
It is important to remember that Tesla Full Self-Driving is not autonomous, and the company never claimed it was. Drivers are still responsible for paying attention and remaining vigilant. They must be able to take over at all times.
Tesla Supercharging is getting yet another layer of gamification, as the company is rolling out a new competition that could win Free Supercharging miles.
Tesla is ramping up its efforts to make vehicle ownership more engaging through gamification. In June 2026, the company announced the 2026 Free Supercharging Competition, building on the Charging Passport feature introduced the previous year. This initiative turns Supercharging into a competitive, collectible adventure while offering substantial real-world incentives.
🚨 Tesla is taking its gamification of Supercharging a step further with the launch of the 2026 Free Supercharging Contest:
“In January 2027, Tesla will celebrate nine outstanding Supercharger users from 2026 by awarding them free Supercharging for their Tesla vehicle for as… pic.twitter.com/CPPYJLJwFD
— TESLARATI (@Teslarati) June 23, 2026
The Charging Passport, rolled out late last year, functions like a digital travel log or a year-in-review for Tesla owners. These types of things are used by many platforms, including Spotify and Apple Music, which show listeners what type of taste they had for the year.
Accessed in the Tesla App under the ‘Charging’ section, it displays a map of visited Superchargers, key stats, such as total energy charged (kWh), number of unique sites, total charging sessions, top charging day, and miles added. Owners earn collectible Charging Badges in categories, which include:
- Charging Milestones – for total energy, consecutive weeks of Supercharging, or unique sites visited
- Iconic Chargers – for Flagship Locations or stations near famous landmarks
- Special Events – limited-time badges for specific experiences. These badges appear within 24 hours of qualifying activity and provide a fun, shareable recap of an owner’s Supercharging journeys. Milestone progress resets annually, allowing fresh challenges each year
The 2026 contest elevates this gamification by rewarding top performers with lifetime free Supercharging. All Supercharging sessions from January 1 to December 31, 2026, count toward the competition. To participate, owners must enable “Share Charging Data with Tesla App” in vehicle settings and open the 2026 Charging Passport in the app at least once before January 1, 2027.
Nine winners will be selected — three per region (Americas, Asia-Pacific, and EMEA, with some countries excluded for regulatory reasons) — one in each of three categories:
- Longest Trip: Longest continuous streak of unique Supercharger locations where each new site is visited within 24 hours of the previous session’s start time
- Most Unique Supercharger Sites Visited: Highest number of distinct locations
- Most Energy Supercharged: Highest total in kWh charged at Superchargers
A unique site is defined as shown in the Tesla app or vehicle navigation. Repeat visits during a streak are allowed but do not extend the count. Ties are broken by total energy charged. Ineligible participants include vehicles already receiving free Supercharging, commercial-use vehicles (taxi, rideshare, delivery), Tesla employees and their immediate families, and residents of certain excluded countries.
Winners receive free Supercharging on the winning vehicle for as long as they own or lease it.
This contest is part of Tesla’s broader gamification strategy. The Safety Score has long rewarded safe driving habits with a numerical rating that can influence insurance rates or feature access. The referral program incentivizes owners with credits or free Supercharging months for successful referrals.
In-app statistics, streaks, and community features further encourage engagement. Older third-party apps even awarded “mayor” titles for frequenting specific Superchargers.
By combining digital badges, competitive leaderboards, and high-value rewards, Tesla boosts network utilization, gathers usage data, and fosters deeper owner loyalty. The 2026 Free Supercharging Competition invites enthusiasts to plan epic road trips while turning everyday charging into a rewarding pursuit. With the Passport already proving popular, expect heightened activity across the Supercharger network throughout the year.
Tesla is atop the American-Made Index from Cars.com for the sixth-straight year, as the Model 3 and Model Y took the top two spots, respectively.
Last year, the Model 3, Model Y, Model S, and Model X took the top four spots, respectively. The company has routinely performed well in the Index. However, Tesla discontinued its flagship Model S and Model X earlier this year, which took the two cars out of the ranking.
Cybertruck is not considered due to its curb weight being above the 8,500-pound threshold, which eliminates it from being required to have more detailed assembly information.
Cars.com uses five main categories to develop its rankings:
- Location(s) of final assembly
- Percentage of U.S. and Canadian parts
- Countries of origin for all available engines
- Countries of origin for all available transmissions
- U.S. manufacturing workforce
These five major factors are then put into a 100-point scale. The vehicles with the highest scores sit atop the list. The Model 3 edged out the Model Y.
🇺🇸 The Tesla Model 3 and Tesla Model Y have been put atop the American-Made Index from https://t.co/PXZ0g1pPb6, meaning they are the most American vehicles you can possibly buy.
This is the SIXTH-STRAIGHT year a Tesla has been listed as the most American-made vehicle: pic.twitter.com/HyraOmaxSL
— TESLARATI (@Teslarati) June 23, 2026
Tesla uses a strong domestic strategy to build its cars and parts domestically. It relies on intense vertical integration that reduces its dependence on global suppliers, keeping more value and jobs in the United States.
This strategy has helped Tesla gain a strong reputation for domestically produced vehicles and parts. However, it helps it with more than just awards like this one. Keeping a supply chain local has also helped insulate Tesla more than others from tariffs and supply chain disruptions.
This year’s American-Made Index from Cars.com studied nearly 400 vehicles from the 2026 model year. Tesla was the only manufacturer to have an EV inside the Top 10. The Kia EV9 was the next EV to make the list, scoring the 17th position.
The Hyundai IONIQ 5 was 21st, and the final EV to make the list was the Cadillac LYRIQ in 77th.
Tesla pushes back against unfair reporting of accidents
Tesla gets another layer of gamification with Free Supercharging on the line
