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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.
Elon Musk
SpaceX is preparing to launch Starship V2 one final time
The mission will test reentry dynamics, new landing burn configurations, and heat-shield upgrades.

SpaceX is preparing to launch its final Starship V2 rocket on October 13, 2025. The launch closes the curtain on Starship V2 and marks the start of the ambitious spacecraft’s V3 era.
Liftoff for Flight 11 is scheduled for 7:15 p.m. ET from Starbase in South Texas, with a 75-minute launch window. The mission will test reentry dynamics, new landing burn configurations, and heat-shield upgrades ahead of the transition to the next-generation Starship V3.
Starship V3 and beyond
Elon Musk confirmed on X that Starship V3 is already in production and could be “built & tested” and perhaps even flown before the end of 2025. The new version is expected to feature major performance and scale improvements, with Musk stating that Starship V3, provided that things go well, might be capable of reaching Mars, though V4 is more likely to perform a full-scale mission to the red planet.
“Only one more V2 left to launch,” Musk wrote back in August following Starship’s successful Flight 10 mission. In another post, Musk stated that “Starship V3 is a massive upgrade from the current V2 and should be through production and testing by end of year, with heavy flight activity next year.”
Starship V2’s final mission
Flight 11 is designed to push the limits of Starship V2. SpaceX engineers have intentionally removed heat-shield tiles in vulnerable areas to analyze how the vehicle handles atmospheric reentry under stress, as noted in a Space.com report. The test will also refine subsonic guidance algorithms and new landing burn sequences for the Super Heavy booster that would be used for Starship V3.
“Super Heavy will ignite 13 engines at the start of the landing burn and then transition to a new configuration with five engines running for the divert phase. Previously done with three engines, the planned baseline for V3 Super Heavy will use five engines during the section of the burn responsible for fine-tuning the booster’s path, adding additional redundancy for spontaneous engine shutdowns.
“The booster will then transition to its three center engines for the end of the landing burn, entering a full hover while still above the ocean surface, followed by shutdown and dropping into the Gulf of America,” SpaceX wrote in a post on its official website.
Elon Musk
xAI’s new facility will save Memphis 5 billion gallons of water annually
The project was described as a long-needed solution for the region as it will be capable of recycling up to 13 million gallons of greywater daily.

Elon Musk’s artificial intelligence startup, xAI, has officially broken ground on its $80 million wastewater treatment facility in Memphis, Tennessee. The project aims to reduce strain on the Memphis aquifer by 9% and repurpose 20% of wastewater from the nearby Memphis T.E. Maxson wastewater facility that would otherwise flow back into the Mississippi River.
A major step towards sustainability
City officials, including Councilman J. Ford Canale and Memphis Chamber of Commerce CEO and President Ted Townsend, joined xAI staff at the October 10 ceremony. The project was described as a long-needed solution for the region as it will have a treatment capacity of 13 million gallons daily, which would then be used for industrial cooling use xAI and the Tennessee Valley Authority (TVA).
This means that the facility will help conserve 5 billion gallons of potable water annually, easing demand on Memphis’ primary water system. At these levels, xAI Memphis noted that its wastewater treatment facility will feature the largest ceramic membrane MBR in the world, using 13,000 membrane modules that collectively span over 900,000 square feet, roughly the size of 16 football fields.
Construction permits have been secured for the pump station, while the main operations permit from the Tennessee Department of Environment and Conservation remains under review.
A privately funded push
The wastewater treatment facility represents a rare privately funded water reclamation initiative, with xAI covering construction costs, as noted in a Yahoo News report. The company filed preliminary plans through its affiliate CTC Property LLC in 2024, hinting at the startup’s long-term commitment to sustainable infrastructure around its growing Memphis operations. TVA CEO and President Don Moul shared his excitement for the project.
“This is a big day for Memphis, Tennessee. This initiative not only reduces our need to purchase water from MLGW for our nearby Allen Combined Cycle Plant, but it also eases demand on the region’s potable water system. By recycling water for cooling purposes, we’re helping to preserve drinking water for the community and advancing a solution that benefits both the environment and the Greater Memphis area,” he said.
News
Japan paves the way for Tesla Full Self-Driving domestic rollout
Tesla’s vehicles are allowed to be retrofitted with a software update that could enable the activation of self-driving features.

Japan seems to be taking some serious steps to pave the way for the domestic rollout of Tesla’s Full Self-Driving (FSD) system in the country.
This was hinted at by a decision from the Ministry of Land, Infrastructure, Transport and Tourism Ministry.
FSD update
As noted in a report from Nikkei, Tesla’s artificial intelligence-powered vehicles are allowed to be retrofitted with a software update that could enable the activation of their self-driving features. These features would be rolled out through an over-the-air (OTA) software update for vehicles that have already been sold to consumers.
Previous reports have indicated that Tesla Japan has started the testing of FSD technology on public roads. At the time, reports indicated that Tesla Japan employees have been conducting the tests, and the company is planning to release its FSD software to consumers in the near future, at least pending compliance with safety standards and guidelines.
New guidelines
In a comment on X, former Tesla Board Member Hiro Mizuno explained that the Ministry of Land, Infrastructure, Transport and Tourism Ministry’s decision is no small matter, as it could pave the way for the smooth rollout of features like FSD to Tesla consumers in Japan.
“The Ministry of Land, Infrastructure, Transport and Tourism’s decision to allow retrofitting of autonomous driving through software updates is significant. Currently, Tesla is the only manufacturer actively pursuing this, but I had thought that if actual autonomous driving were to begin, it would be impossible to keep up if the approval process had to be repeated for every software update. As a result, this decision will make it easier for all manufacturers to introduce autonomous driving in Japan,” he wrote in a post on X.
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