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Tesla FSD Beta 10.69.2.2 extending to 160k owners in US and Canada: Elon Musk

Credit: Whole Mars Catalog

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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. 

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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.

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– 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.

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– 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.

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– 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.

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– 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.

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– 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.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Starbase after dark: Musk’s latest photo captures a Spaceport on the brink of history

SpaceX’s Starbase city in Boca Chica, Texas is rapidly transforming the southern tip of the Lone Star State into one of the most ambitious launch complexes in history.

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Elon Musk shares nighttime view of latest Starbase in Texas

A striking nighttime photograph of SpaceX’s Starbase facility in Boca Chica, Texas, shared recently by Elon Musk on X, offers a dramatic glimpse of an operation that is rapidly transforming the southern tip of the Lone Star State into one of the most ambitious launch complexes in history.

The most immediately visible change in the photo is the presence of two fully erected Starship launch towers dominating the coastal skyline. The second orbital launch pad, known as Pad B, now features its fully erected tower, OLIT-3, which stands approximately 474 feet tall and incorporates an integrated water-cooled flame trench designed to minimize damage and reduce turnaround time between launches. The dual-tower silhouette against the night sky signals a decisive shift from experimental testing facility to high-cadence launch operations.

Grok Image concept of Elon Musk’s latest Starbase photo via X

Back at Starbase, Pad 2 is approaching hardware completion, with upgraded chopstick arms, a new chilldown vent system, and all 20 hold-down arms now fitted with protective doors to shield them from the intense exhaust of up to 33 Raptor 3 engines, according to a deeper dive by NASASpaceFlight.

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SpaceX has also received approval to nearly double the footprint of the Starbase launch site, with groundwork already underway to add LNG liquefaction plants, expanded propellant storage, and additional ground support infrastructure.

The photo also carries a milestone civic dimension. Starbase officially became a Texas city in May 2025 after a community vote, with SpaceX employees elected as mayor and commissioners of the newly incorporated municipality. That legal status streamlines launch approvals and gives SpaceX direct control over local infrastructure decisions.

The FAA has approved an increase in launches from Starbase in Texas from five to twenty-five per year, clearing the runway for the kind of flight frequency needed to fulfill Starship’s ultimate mission of ferrying cargo and crew to the Moon, servicing the Department of Defense, deploying next-generation Starlink satellites, and eventually establishing Elon Musk’s long sought after goal of a self-sustaining human presence on Mars.

Seen from above in the dark, Starbase looks less like a test site and more like a spaceport.

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Tesla loses Director who designed one of the company’s best features

Thomas Dmytryk, who has spent over 11 years with Tesla and helped to develop Over-the-Air updates and the company’s vehicles’ ability to utilize them to improve, has decided to leave.

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Credit: Tesla

Tesla has lost the director who designed one of the company’s best features: Over-the-Air updates.

Thomas Dmytryk, who has spent over 11 years with Tesla and helped to develop Over-the-Air updates and the company’s vehicles’ ability to utilize them to improve, has decided to leave. In a lengthy statement on LinkedIn, Dmytryk said that he’s “closing the book.” He had nothing but good things to say:

“After 11 incredible years at Tesla, I’m closing the book. It’s been the ride of a lifetime: always on the news, innovating relentlessly, constantly pushing the limits. Tesla is THE place for talented, passionate people. I feel insanely lucky to have been part in that culture for so long.”

It appears the intense lifestyle of developing and creating intensively for so long might have caught up to Dmytryk, who did not give his definitive plans for the future, and it appears he may be taking some time off before jumping into a new venture:

“The future? Extremely bright. Ambitions intact, just getting started as a transformative company that could elevate billions of lives. So why leave now?! Human life’s always been my North Star, right now I need to be with mines. I’ve always admired Tesla’s top leadership and vision. But what I’ve always found incredible is the tenacity, brilliance and devotion of people on the front line. YOU make Tesla unstoppable. I wish you all the best and of course EPIC wins.”

The move was first reported by NotaTeslaApp.

Over-the-Air updates are among Tesla’s best features. They are used to improve the Full Self-Driving suite, add features, remedy recalls, and more. Many vehicles have the ability to receive OTA updates, as I did in a Ford Bronco previous to my Model Y. However, Tesla does them better than anyone else: they’re seamless, effective, and frequent. Your car always improves.

The move is a blow to Tesla, of course, considering Dmytryk’s massive contribution to the company and extremely long tenure spent, but not something that is overwhelmingly detrimental. Tesla deals with a lot of extremely intelligent people, some of whom are the best in their field, so they are sure to find a suitable replacement.

However, it’s no secret that the company has been losing some of its top talent, some of whom were in executive roles. Some have left to take on new projects, and others have not revealed their career plans.

It seems at least some of those employees are simply deciding to walk away and try new things after working so hard for so long. According to Dmytryk’s LinkedIn, he also played a large part in Musk’s acquisition of X, as he stated he “worked at Twitter/X ~45/week while working at the same pace for Tesla.”

That averages a 13-hour day, seven days a week, or 18 hours for the normal five-day work week.

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Tesla’s most wanted Model Y heads to new region with no sign of U.S. entry

Unlike the standard Model Y, the “L” stretches the wheelbase by roughly 150 mm and the overall length by about 177 mm to 4,976 mm. The result is a genuine 2-2-2 seating layout that gives six adults proper legroom and cargo space — a true family hauler without the cramped third-row compromises of many three-row SUVs.

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Credit: Tesla China

Tesla’s most wanted Model Y configuration is heading to a new region, and although U.S. fans and owners have requested the vehicle since its release last year, it appears the company has no plans to bring it to the market.

According to fresh regulatory filings, the six-seat Model Y L is coming to South Korea with signs indicating an imminent launch. The extended-wheelbase configuration, already a hit in China, just cleared energy-efficiency certification from the Korea Energy Agency, paving the way for deliveries as early as the first half of 2026.

The vehicle is already built at Tesla’s Giga Shanghai facility in China, making it an ideal candidate for the Asian market, as well as the European one, as the factory has been known as a bit of an export hub in the past.

It seems like Tesla was prepping for this release anyway, as the timing was no accident. A camouflaged Model Y L prototype was spotted testing on Korean highways the same day the certification dropped. Tesla has already secured similar approvals for Australia and New Zealand, with both markets expecting the larger Model Y in 2026.

Unlike the standard Model Y, the “L” stretches the wheelbase by roughly 150 mm and the overall length by about 177 mm to 4,976 mm. The result is a genuine 2-2-2 seating layout that gives six adults proper legroom and cargo space — a true family hauler without the cramped third-row compromises of many three-row SUVs.

South Korean filings list it as an all-wheel-drive imported electric passenger vehicle with a 97.25 kWh total battery capacity supplied by LG Energy Solution. Local tests show an impressive 543 km (337 miles) combined range at room temperature and 454 km (282 miles) in colder conditions, easing one of the biggest concerns for Korean EV buyers.

Tesla Model Y lineup expansion signals an uncomfortable reality for consumers

But for U.S. fans, things are not looking good for a launch in the market.

CEO Elon Musk has been blunt. The six-seater “wouldn’t arrive in the U.S. until late 2026, if ever,” he said, pointing to the company’s heavy bet on unsupervised Full Self-Driving and robotaxi platforms like the Cybercab. With the Model X slated for discontinuation, many families hoped the stretched Model Y would slide into the lineup as an affordable three-row bridge. So far, that hope remains unfulfilled.

For now, South Korean drivers will be among the first buyers outside China to enjoy the spacious, efficient Model Y L. Tesla continues its global rollout strategy, tailoring vehicles to regional tastes while North American customers keep refreshing their apps and crossing their fingers.

The Model Y L proves the appetite for practical, family-sized electric SUVs is stronger than ever. Hopefully, Tesla will listen to its fans and bring the vehicle to the U.S. where it would likely sell well.

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