News
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.
News
Tesla Cybercab ramps Robotaxi public street testing as vehicle enters mass production queue
Recent sightings on public roads and growing fleet activity at Giga Texas signal Tesla’s accelerating push toward the Cybercab’s commercial launch.
Tesla Cybercab is being spotted with increasing frequency both on public roads and across the grounds of Gigafactory Texas, suggesting that the company’s road testing and validation program is ramping meaningfully ahead of mass production.
A total of 25 Cybercab units were recently observed across three separate locations at Giga Texas by drone observer Joe Tegtmeyer — with 14 metallic gold units parked in a tight formation outside the factory exit, nine more at the crash testing facility undergoing structural and safety validations, and two additional units at the west end-of-line area for final checks.
The activity on public roads is just as telling. The Cybercab was spotted testing on public roads for the first time last October, near Tesla’s Engineering Headquarters in Los Altos, California, marking a significant development in the vehicle’s progression toward commercial readiness. As expected at that early stage, a safety driver was present in the seat.
Since then, sightings have only become more frequent. Community observers on X have posted fresh footage of Cybercabs navigating public streets in Silicon Valley, with each new clip adding to a growing body of evidence that Tesla’s validation efforts are well underway. The production backdrop supports the momentum. Tesla’s production line at Giga Texas moved into a higher volume early in March, representing what observers are calling the largest single-day grouping of Cybercabs seen to date.
-
- Tesla Cybercab spotted in San Jose, CA testing on public roads with Robotaxi validation equipment [Credit: Nic Cruz Patane via X]
![Tesla Cybercab spotted testing on public roads in Los Gatos, CA - March 10, 2026 [Credit: Osmad Sarood via X]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-cybercab-public-road-testing-823x1024.jpg)
Tesla Cybercab spotted testing on public roads in Los Gatos, CA – March 10, 2026 [Credit: Osman Sarood via X]
Tesla ramps Cybercab test manufacturing ahead of mass production
Musk has also stated that Tesla is aiming for at least 2 million Cybercab units per year across more than one factory, with a potential ceiling of 4 million annually.
With testing activity on public roads accelerating and factory output visibly increasing week over week, the coming months at Giga Texas are set to be pivotal in determining how quickly Tesla can bring the Cybercab from validation to volume.
News
Tesla opens Supercharging Network to other EVs in new country
Tesla’s Supercharging infrastructure is the most robust in the world, and it has done a wonderful job of keeping things up and running for the millions of owners out there. As it expanded access to non-Tesla EVs a couple years back, it has still managed to keep things pretty steady, although the need for more charging is apparent.
Tesla has started opening its Supercharging Network, which is the most expansive in the world, to other EVs in a new country for the first time.
After expanding its Supercharging offerings to other car companies in the United States a few years ago, Tesla is still making the move in other markets, as it aims to make EV ownership easier for everyone, regardless of what manufacturer a consumer chose to purchase from.
Tesla’s Supercharging infrastructure is the most robust in the world, and it has done a wonderful job of keeping things up and running for the millions of owners out there. As it expanded access to non-Tesla EVs a couple years back, it has still managed to keep things pretty steady, although the need for more charging is apparent.
Tesla just added a cool new feature for leaving your charger at home or even leaving the Supercharger pic.twitter.com/iw0SDrWuX6
— TESLARATI (@Teslarati) March 10, 2026
Now, Tesla is expanding access to the Supercharger Network to non-Tesla EVs in Malaysia. The automaker just opened up a charging stie at the Pavilion KL Mall in Kuala Lumpur to non-Tesla owners, giving them eight additional Superchargers to utilize with a charging speed of up to 250 kW.
Tesla is also opening up the four-Supercharger site in Shah Alam, a four-Supercharger site at the IOI City Mall, and a six-Supercharger site in Gamuda Cove Township.
Electrive first reported the opening of these Superchargers in Malaysia.
The initiative from Tesla helps make EV ownership much simpler for those who only have access to third-party charging solutions or at-home charging. While at-home charging is the most advantageous, it is not an end-all solution as every driver will eventually need to grab some range on the road.
Tesla has been offering its Superchargers to non-Tesla EVs in the United States since 2024, as Ford became the first company to gain access to the massive network early that year when CEO Elon Musk and Ford frontman Jim Farley announced it together. Since then, Tesla has offered its chargers to nearly every EV maker, as companies like Rivian and Lucid, and even legacy car companies like General Motors have gained access.
It’s best for everyone to have the ability to use Tesla Superchargers, but there are of course some growing pains.
Charging cables are built to cater to Tesla owners, so pull-in Superchargers are most advantageous for non-Tesla EVs currently, but the company’s V4 Superchargers, which are not as plentiful in the U.S. quite yet, do enable easier reach for those vehicles.
News
Tesla Semi expands pilot program to Texas logistics firm: here’s what they said
Mone said the Tesla Semi it put into its fleet for this test recorded 1.64 kWh per mile efficiency, beating Tesla’s official 1.7 kWh per mile target and delivering a massive leap over conventional diesel trucks.
Tesla has expanded its Semi pilot program to a new region, as it has made it to Texas to be tested by logistics from Mone Transport. With the Semi entering production this year, Tesla is getting even more valuable data regarding the vehicle and its efficiency, which will help companies cut expenditures.
Mone Transport operates in Texas and on the Southern border, and it specializes in cross-border U.S.-Mexico freight operations. After completing some rigorous testing, Mone shared public results, which stand out when compared to efficiency metrics offered by diesel vehicles.
“Mone Transport recently had the opportunity to put the Tesla Semi to the test, and we’re thrilled with the results! Over 4,700 miles of operations at 1.64 kWh/mile in our Texas operation. We’re committed to providing zero-emission transportation to our customers!” the company said in a post on X.
🚨 Mone Transport just recorded an extremely impressive Tesla Semi test:
1.64 kWh per mile over 4,700 miles! https://t.co/xwS2dDeomP pic.twitter.com/oLZHoQgXsu
— TESLARATI (@Teslarati) March 10, 2026
Mone said the Tesla Semi it put into its fleet for this test recorded 1.64 kWh per mile efficiency, beating Tesla’s official 1.7 kWh per mile target and delivering a massive leap over conventional diesel trucks.
Comparable Class 8 diesel semis, typically achieving 6-7 miles per gallon, consume roughly 5.5 kWh per mile in energy-equivalent terms, meaning the Semi uses three to four times less energy while also producing zero tailpipe emissions.
Tesla Semi undergoes major redesign as dedicated factory preps for deliveries
The performance of the Tesla Semi in Mone Transport’s testing aligns with data from other participants in the pilot program. ArcBest’s ABF Freight Division logged 4,494 miles over three weeks in 2025, averaging 1.55 kWh per mile across varied routes, including a grueling 7,200-foot Donner Pass climb. The truck “generally matched the performance of its diesel counterparts,” the carrier said.
PepsiCo, which operates the largest known Semi fleet, recorded 1.7 kWh per mile in North American Council for Freight Efficiency testing. Additional pilots showed similar gains: DHL hit 1.72 kWh per mile, and Saia achieved 1.73 kWh per mile.
These metrics underscore the Semi’s ability to slash operating costs through superior efficiency, lower maintenance, and zero-emission operation. As charging infrastructure scales and production ramps toward 2026 targets, participants like Mone Transport are proving electric semis can seamlessly integrate into freight networks, accelerating the industry’s shift to sustainable, high-performance trucking.
Tesla continues to prep for a more widespread presence of the Semi in the coming months as it recently launched the first public Semi Megacharger site in Los Angeles. It is working on building out infrastructure for regional runs on the West Coast initially, with plans to expand this to the other end of the country in the coming years.
Tesla Cybercab ramps Robotaxi public street testing as vehicle enters mass production queue
Tesla opens Supercharging Network to other EVs in new country
