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Tesla FSD Beta 10.69.2.2 extending to 160k owners in US and Canada: Elon Musk
It appears that after several iterations and adjustments, FSD Beta 10.69 is ready to roll out to the greater FSD Beta program. Elon Musk mentioned the update on Twitter, with the CEO stating that v10.69.2.2. should extend to 160,000 owners in the United States and Canada.
Similar to his other announcements about the FSD Beta program, Musk’s comments were posted on Twitter. “FSD Beta 10.69.2.1 looks good, extending to 160k owners in US & Canada,” Musk wrote before correcting himself and clarifying that he was talking about FSD Beta 10.69.2.2, not v10.69.2.1.
While Elon Musk has a known tendency to be extremely optimistic about FSD Beta-related statements, his comments about v10.69.2.2 do reflect observations from some of the program’s longtime members. Veteran FSD Beta tester @WholeMarsBlog, who does not shy away from criticizing the system if it does not work well, noted that his takeovers with v10.69.2.2 have been marginal. Fellow FSD Beta tester @GailAlfarATX reported similar observations.
Tesla definitely seems to be pushing to release FSD to its fleet. Recent comments from Tesla’s Senior Director of Investor Relations Martin Viecha during an invite-only Goldman Sachs tech conference have hinted that the electric vehicle maker is on track to release “supervised” FSD around the end of the year. That’s around the same time as Elon Musk’s estimate for FSD’s wide release.
It should be noted, of course, that even if Tesla manages to release “supervised” FSD to consumers by the end of the year, the version of the advanced driver-assist system would still require drivers to pay attention to the road and follow proper driving practices. With a feature-complete “supervised” FSD, however, Teslas would be able to navigate on their own regardless of whether they are in the highway or in inner-city streets. And that, ultimately, is a feature that will be extremely hard to beat.
Following are the release notes of FSD Beta v10.69.2.2, as retrieved by NotaTeslaApp:
– 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 connectivities. 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.
– 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 maneuvers.
– 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 optimisable 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.
– 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.
– 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.
– 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.
– 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.
– Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.
– Improved recall of animals by 34% by doubling the size of the auto-labeled training set.
– 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.
– 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.
– Improved speed when entering highway by better handling of upcoming map speed changes, which increases the confidence of merging onto the highway.
– Reduced latency when starting from a stop by accounting for lead vehicle jerk.
– Enabled faster identification of red light runners by evaluating their current kinematic state against their expected braking profile.
Press the “Video Record” button on the top bar UI to share your feedback. When pressed, your vehicle’s external cameras will share a short VIN-associated Autopilot Snapshot with the Tesla engineering team to help make improvements to FSD. You will not be able to view the clip.
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Tesla owners have long griped about the wireless phone charger in the Model Y and other vehicles. It often turns smartphones into miniature ovens rather than reliably topping them up.
Software engineer and Model Y owner Michał Gapiński tackled this issue head-on with a clever DIY upgrade, swapping the cooled wireless charger pad from the China-made Model YL in for the one that came standard in his vehicle.
There are several key differences between the U.S.-built Model Y’s wireless charging pad and the one that Tesla has been installing in the Model YL. The one installed in U.S.-built vehicles lacks active cooling and relies on basic heat dissipation, leading to rapid temperature buildup during charging. In contrast, the Model YL integrates a small fan for active cooling.
Will it fit? Fingers crossed, I want a first YL charger deployed in the regular juniper pic.twitter.com/wWDqSNFVkW
— Michał Gapiński (@mikegapinski) June 2, 2026
This design maintains lower temperatures even in warm ambient conditions, though it does not support faster Qi2 charging on iPhones. The connector matches exactly, making physical swaps feasible on compatible consoles, but coding is required to enable full functionality.
Owners in the U.S. have complained about the wireless charging pad, with many reporting that overheating is fairly common. Within 20 or 30 minutes of placing a phone on the wireless charging pad, many have reported overheating messages on their phones, which halt charging and essentially turn the pad into a fancy place to rest your phone.
Many owners have opted to simply plug their phones into a charging cord. Tesla has acknowledged the problem by releasing several solutions for owners, including a relatively new feature that allows you to simply turn off the charging and simply act as a holder for your phone while driving.
Gapiński said that he sourced the cooled pad affordably from China, and it cost under $200 for the part.
He removed the existing console charger, swapped in the new unit, confirming a perfect connector fit, and handled the trim differences. Since the parameter isn’t fully secured, he enabled it through custom coding outside official Toolbox.
Connector is identical, she fits, now time to code it. https://t.co/Y9idgDrpCq pic.twitter.com/uwwgq6blg7
— Michał Gapiński (@mikegapinski) June 2, 2026
The fan activates quietly, blending with AC and seat cooling. He reported the installation was effective and the wireless charging pad worked perfectly; it even kept the phone cool as it stayed at just 86 degrees Fahrenheit. Many times, the wireless charging pad will bring the phone’s temperature well above 100 degrees, sometimes even being relatively hot to the touch.
The retrofit worked, no issues. First Model Y with a cooled wireless charger! No QI2/faster charging on the iPhone but it does not boil the phone even when it is 30 degrees outside.
The fan kicks in, it is not audible especially with the air conditioning and seat cooling. The… https://t.co/JOyR8Tb1Yo pic.twitter.com/kJcYhQIlYq
— Michał Gapiński (@mikegapinski) June 2, 2026
This retrofit highlighted an elegant, owner-driven solution to a factory shortcoming. It is expected that Tesla will begin installing the cooled charging pads into new cars in the U.S. soon, and hopefully, it will offer some sort of retrofit service or kit to owners here who want to use the charging pad effectively.
For those who love to tinker, it’s an accessible upgrade, proving that innovation thrives beyond the production line.
The Tesla Roadster unveiling could be coming “in a few weeks,” according to the company’s Chief Designer Franz von Holzhausen, who said at the Tesla Takeover Europe Event in Austria that the all-electric hypercar could finally make its way to the production line after years of anticipation.
Von Holzhausen delivered the news just days after The Information reported that Tesla planned to push the Roadster unveiling to August. It was slated for both April and May of this year, but now it seems the company is leaning toward a late Summer event to cap off the heat with perhaps its most anticipated vehicle of all-time.
🚨 Tesla Chief Designer Franz Von Holzhausen, speaking to the crowd at Tesla Takeover Europe, said at the event that the Roadster is coming “in a few weeks,”
Multiple attendees have confirmed this pic.twitter.com/B1v6yb2Geq
— TESLARATI (@Teslarati) June 6, 2026
Franz has been with Tesla since 2008, and has played a pivotal role in the iconic design language the company has utilized with its vehicles. Speaking to the crowd in Austria virtually, von Holzhausen’s comments injected fresh excitement into a project that has been plagued by delays for nine years.
The second-generation Roadster promises to redefine supercar standards. Tesla’s website still highlights ambitious targets: 0-60 mph in under 1.9 seconds (with optional SpaceX thruster pack potentially achieving 1.1 seconds or less), a top speed exceeding 250 mph, and a range of about 620 miles.
Equipped with a tri-motor all-wheel-drive setup delivering over 1,000 horsepower, the four-seater aims to blend blistering acceleration, everyday usability, and innovative features like cold gas thrusters for short-hop capabilities, technology that will combine the project with SpaceX.
But years after the company promised to start production, which was slated for 2020, the timeline for the Roadster has continued to shift.
Tesla has strung along those who have put $50,000 deposits down, as well as fans and enthusiasts of the company who have been long awaiting the company to bring forth a car truly designed for the human driver, and not autonomy. The Roadster is more than just a halo vehicle for Tesla; it showcases the company’s ability to push the boundaries while incorporating synergies from other Musk companies.
However, it has to make it to production, which is something Musk and Co. have pushed back repeatedly.
As Tesla navigates Robotaxi development and broader autonomy goals, the Roadster serves as a reminder of its performance roots. If von Holzhausen’s timeline holds, fans could witness this engineering marvel by late June or early July 2026. Whether a full unveiling, demo, or initial deliveries, it marks a milestone for electric supercars.
Tesla has reportedly pushed the unveiling of the Roadster once again, but there are also evidently new details about the event that the company plans to show off.
The Information reported this morning that Tesla will now unveil, for the second time, the next-generation Roadster in August, a further delay from the multiple timeline that the company had previously stated.
The report has not been confirmed or denied by Tesla at any capacity.
It also states the unveiling event will take place in Texas, the same place that Tesla executives revealed in May would be the place of manufacture for the company’s highly-anticipated supercar, which boasts a top speed of over 250 MPH and 650 miles of range, according to its website.
Tesla is also expected to showcase the SpaceX package, which will be used for faster acceleration and potentially hovering capabilities, at the unveiling event, the report states. Musk has always planned for this to happen, but now it seems it is more realistic than ever
The report also states the Roadster unveiling is planned for August pic.twitter.com/By26XZIJzU
— TESLARATI (@Teslarati) June 5, 2026
The Roadster has had its unveiling date and manufacturing date pushed back on many occasions. It was set to start production in 2020, but the COVID-19 pandemic crippled supply chain operations, forcing Tesla to push its timeline back considerably.
However, COVID has been over for some time, and Tesla has still not managed to successfully schedule and execute an unveiling event, which is something fans and enthusiasts, as well as those who have put down a $50,000 deposit, have been waiting for.
The vehicle was close to completion last year, but Musk truly wanted Lars Moravy and Franz von Holzhausen to push the limits of the Roadster. In July of last year, Moravy said:
“Roadster is definitely in development. We did talk about it last Sunday night. We are gearing up for a super cool demo. It’s going to be mind-blowing; We showed Elon some cool demos last week of the tech we’ve been working on, and he got a little excited.”
It is important to note two things: Tesla has not confirmed these details, and the company has regularly pushed these dates back. Until Tesla sends out formal invitations with a concrete date, taking any unveiling event reports with a grain of salt is a good idea.
Tesla owner fixes common feature complaint with crafty DIY retrofit
Tesla exec says Roadster unveil is soon — for real this time
