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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
Elon Musk shares big Tesla Optimus 3 production update
According to Musk, Tesla is in the final stages of completing Optimus 3, which he described as one of the world’s most advanced humanoid robots.
Tesla CEO Elon Musk has stated that production of Optimus 3 could begin this summer. Musk shared the update in his interview at the Abundance Summit.
According to Musk, Tesla is in the final stages of completing Optimus 3, which he described as one of the world’s most advanced humanoid robots.
“We’re in the final stages of completion of Optimus 3, which is really going to be by far the most advanced robot in the world. Nothing’s even close. In fact, I haven’t even seen demos of robots that are as good as Optimus 3,” Musk said.
He also set expectations on the pace of Optimus 3’s production ramp, stating that the initial volumes of the humanoid robot will likely be very low. Musk did, however, also state that high production rates for Optimus 3 should be possible in 2027.
“I think we’ll start production on Optimus 3 this summer, but very slow at first, like sort of this classic S-curve ramp of manufacturing units versus time. And then, probably reach high volume production around summer next year,” he said.
Interestingly enough, the CEO hinted that Tesla is looking to iterate on the robot quickly, potentially releasing a new Optimus design every year.
“We’ll have Optimus 4 design complete next year. We’ll try to release a new robot design every year,” Musk stated.
Tesla has already outlined broader plans for scaling Optimus production beyond its first manufacturing line. Musk previously stated that Optimus 4 will be built at Gigafactory Texas at significantly higher production volumes.
Initial production lines for the robot are expected to be located at Tesla’s Fremont Factory, where the company plans to establish a line capable of producing up to 1 million robots per year.
A larger production ramp is expected to occur at Gigafactory Texas, where Musk has previously suggested could eventually support production of up to 10 million robots per year.
“We’re going to launch on the fastest production ramp of any product of any large complex manufactured product ever, starting with building a one-million-unit production line in Fremont. And that’s Line one. And then a ten million unit per year production line here,” Musk said previously.
The comments suggest that while Optimus 3 will likely begin production at Fremont, Tesla’s larger-scale manufacturing push could arrive with Optimus 4 at Gigafactory Texas.
Elon Musk
Tesla showcases Optimus humanoid robot at AWE 2026 in Shanghai
Tesla’s humanoid robot was presented as part of the company’s exhibit at the Shanghai electronics show.
Tesla showcased its Optimus humanoid robot at the 2026 Appliance & Electronics World Expo (AWE 2026) in Shanghai. The event opened Thursday and featured several Tesla products, including the company’s humanoid robot and the Cybertruck.
The display was reported by CNEV Post, citing information from local media outlet Cailian and on-site staff at the exhibition.
Tesla’s humanoid robot was presented as part of the company’s exhibit at the Shanghai electronics show. On-site staff reportedly stated that mass production of the robot could begin by the end of 2026.
Tesla previously indicated that it plans to manufacture its humanoid robots at scale once production begins, with its initial production line in the Fremont Factory reaching up to 1 million units annually. An Optimus production line at Gigafactory Texas is expected to produce 10 million units per year.
Tesla China previously shared a teaser image on Weibo showing a pair of highly detailed robotic hands believed to belong to Optimus. The image suggests a design with finger proportions and structures that closely resemble those of a human hand.
Robotic hands are widely considered one of the most difficult engineering challenges in humanoid robotics. For a system like Optimus to perform complex real-world tasks, from factory work to household activities, the robot would require highly advanced dexterity.
Elon Musk has previously stated that Optimus has the capability to eventually become the first real-world example of a Von Neumann machine, a self-replicating system capable of building copies of itself, even on other planets. “Optimus will be the first Von Neumann machine, capable of building civilization by itself on any viable planet,” Musk wrote in a post on X.
Elon Musk
Tesla Cybercab production line is targeting hundreds of vehicles weekly: report
According to the report, Tesla has been adding staff and installing new equipment at its Austin factory as it prepares to begin Cybercab production.
Tesla is reportedly designing its Cybercab production line to manufacture hundreds of the autonomous vehicles each week once mass production begins. The effort is underway at Gigafactory Texas in Austin as the company prepares to start building the Robotaxi at scale.
The details were reported by The Wall Street Journal, citing people reportedly familiar with the matter.
According to the report, Tesla has been adding staff and installing new equipment at its Austin factory as it prepares to begin Cybercab production.
People reportedly familiar with Tesla’s plans stated that the company has been growing its staff and bringing in new equipment to start the mass production of the Cybercab this April.
The Cybercab is Tesla’s upcoming fully autonomous two-seat vehicle designed without a steering wheel or pedals. The vehicle is intended to operate primarily as part of Tesla’s planned Robotaxi ride-hailing network.
“There’s no fallback mechanism here. Like this car either drives itself or it does not drive,” Musk stated during Tesla’s previous earnings call.
Tesla has indicated that Cybercab production could begin as soon as April, though Elon Musk has noted that early production will likely be slow before ramping over time. Musk has stated that the Cybercab’s slow ramp is due in no small part to the fact that it is a completely new vehicle platform.
Tesla’s Cybercab is designed to work with the company’s Full Self-Driving (FSD) system and support its planned autonomous ride-hailing service. The company has suggested that the vehicle could cost under $30,000, making it one of Tesla’s most affordable models if produced at scale. Musk has confirmed in a previous X post that the vehicle will indeed be offered to regular consumers at a price below $30,000.
Musk has previously stated that Tesla could eventually produce millions of Cybercabs annually if demand and production capacity scale as planned.