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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.Â
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 Cybertruck was chosen by a Middle Eastern government agency because of its capability, safety, and other advantages that it offers over traditional pickups.
In a striking display of futuristic security technology, Kazakhstan’s State Guard Service has integrated Tesla Cybertrucks as mobile command-and-control vehicles for the Informal Summit of the Organization of Turkic States, held today in Turkistan.
🚨 Kazakhstan’s State Guard Service is deploying Tesla Cybertrucks as mobile command-and-control vehicles for the Informal Summit of the Organization of Turkic States in Turkistan on May 15, 2026. pic.twitter.com/m4gHCyy5uS
— TESLARATI (@Teslarati) May 14, 2026
The deployment, announced by Teslarati on May 14, marks one of the first known instances worldwide of the electric pickup truck being used in official state security operations.
The Cybertrucks are supporting a range of real-world tasks, including rapid response, field coordination, communications, and command functions.
Officials highlighted the vehicles’ suitability for the challenging mountainous terrain around Almaty, where superior off-road mobility allows them to navigate rugged landscapes that might challenge conventional vehicles. Their quiet electric operation enables discreet deployment, while the high onboard power output provides sustained energy for communications equipment and external devices—critical during a high-profile international gathering.
The Cybertrucks will support real operational security tasks, including rapid response, field coordination, communications, and command functions — particularly in the challenging mountainous terrain around Almaty.
Key advantages cited by Government Officials were superior… pic.twitter.com/zRznabs389
— TESLARATI (@Teslarati) May 14, 2026
The summit brings together leaders from Turkic-speaking nations to discuss cooperation in politics, economy, and culture. Against this backdrop, the Cybertrucks stand out not only for their angular, stainless-steel exoskeleton and imposing presence but also for their practical advantages in modern security protocols.
This move underscores Kazakhstan’s push toward innovative and sustainable solutions in public safety. The Cybertruck, Tesla’s rugged all-electric pickup, was designed from the ground up for versatility, boasting impressive range, durability, and power capabilities that align well with governmental needs.
By choosing the vehicle, Kazakh authorities signal confidence in electric mobility even for demanding operational roles—potentially setting a precedent for other nations exploring green alternatives to traditional fleet vehicles.
Tesla Cybertruck too safe for even Musk’s biggest critics to ignore
As the summit unfolds on May 15, the presence of Cybertrucks symbolizes a broader shift: electric vehicles transitioning from consumer roads to critical infrastructure.
For Tesla, the development offers valuable real-world validation of the Cybertruck’s capabilities beyond civilian use. For Kazakhstan, it blends cutting-edge American engineering with national security priorities, creating a memorable visual and functional statement at this landmark regional event.
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Tesla grabs massive Las Vegas warehouse for interesting Cybercab project
Tesla quietly filed plans to build the Cybercab car wash, and on May 12, the company submitted a permit to begin renovating the “Tesla Center Cybercab Phase 2 Car Wash,” documents show.
Tesla is beginning to construct what will be an incredibly unique project, as it is now building a 36,000-square-foot car wash just for the Cybercab in Clark County, Nevada, near Las Vegas.
Tesla quietly filed plans to build the Cybercab car wash, and on May 12, the company submitted a permit to begin renovating the “Tesla Center Cybercab Phase 2 Car Wash,” documents show.
This is not just some ordinary car wash. Instead, it’s a dedicated, high-tech maintenance hub built specifically for Tesla’s ride-hailing vehicle and the many units that will be in the fleet.
According to the permit documents, which were first spotted by MarcoRP, a Supercharger observer on X, the work involves upgrading and updating the interior and exterior of an existing 36,000-square-foot facility. Crews will construct a full car-wash enclosure, relocate tire-service equipment, and install new power raceways.
Tesla has reportedly submitted plans for a carwash dedicated for Robotaxis in Las Vegas. The permit, filed with Clark County on May 12th, describes “Tesla Center Cybercab Phase 2 Car Wash.”
According to the project description, the work involves interior and exterior… pic.twitter.com/BayBYP7kSv
— Sawyer Merritt (@SawyerMerritt) May 14, 2026
Every camera on a Tesla Cybercab must stay clean, and without a human driver to perform manual maintenance on the vehicle, this Cybercab-specific car wash will be crucial in keeping the fleet operational, safe, and effective.
Tesla has spent years perfecting unsupervised FSD, and the Cybercab – unveiled last year as a driverless, two-seater purpose-built for ride-hailing – is the physical embodiment of that vision. Industry skeptics have long questioned how a massive Robotaxi network could scale without drivers handling basic upkeep.
Tesla just answered them with a permit filing. Sources close to the project suggest this could be the first of several such hubs, with whispers of similar plans already surfacing in Texas.
A purpose-built Robotaxi wash station means fleets can cycle vehicles through cleaning, charging, and minor servicing at lightning speed with almost no human intervention. Optimus robots could eventually handle the physical work, turning the entire operation into a lights-out, 24/7 machine.
Las Vegas, with its endless tourist traffic and wide-open roads, is the perfect proving ground. Imagine stepping out of a gleaming Cybercab after a night on the Strip, knowing the same vehicle will be sparkling clean and ready for the next rider within minutes.
California hits Tesla Cybercab and Robotaxi driverless cars with new law
Critics who claimed Robotaxis would get filthy and unreliable now look shortsighted. However, it will be interesting to see how many of these types of facilities the company establishes, especially as it plans for the Robotaxi fleet to be available everywhere.
If the permit moves forward as expected, Las Vegas could witness the first large-scale, fully autonomous taxi operation complete with its own cleaning infrastructure. As soon as Tesla solves wireless charging, we’re looking at a very capable and potentially fully autonomous ride-sharing business from A to Z.
News
Tesla puts Giga Berlin in Plaid Mode with new massive investment
The facility, Tesla’s first in Europe, opened in 2022 and has become a cornerstone for Model Y production and, increasingly, in-house battery manufacturing. Recent announcements highlight a dual focus on scaling vehicle output and advancing vertical integration through 4680 battery cells.
Tesla is pushing forward with significant upgrades at its Gigafactory Berlin-Brandenburg in GrĂĽnheide, Germany, signaling renewed confidence in its European operations despite past market challenges.
The facility, Tesla’s first in Europe, opened in 2022 and has become a cornerstone for Model Y production and, increasingly, in-house battery manufacturing. Recent announcements highlight a dual focus on scaling vehicle output and advancing vertical integration through 4680 battery cells.
In April, plant manager André Thierig announced a 20 percent increase in Model Y production starting in July, following a record Q1 output of more than 61,000 vehicles. To support the ramp-up, Tesla plans to hire approximately 1,000 new employees beginning in May and convert 500 temporary workers to permanent positions.
The move is expected to lift weekly production significantly, addressing rebounding demand in Europe after a challenging 2025.
Today, we announced a $ 250m investment for our Giga Berlin Cell factory. This will enable 18GWh of annual 4680 cell production and create more than 1500 new jobs. Good news during challenging times for the German industry. pic.twitter.com/ou4SWMfWh9
— André Thierig (@AndrThie) May 12, 2026
The expansion builds on earlier progress. In 2025, Tesla secured partial approvals to add roughly 2 million square feet of factory space, raising potential annual vehicle capacity from around 500,000 toward 800,000 units, with longer-term ambitions approaching one million vehicles per year. Logistical improvements, new infrastructure, and battery-related facilities are already underway on company-owned land.
Battery production is the latest major focus. On May 12, Thierig revealed an additional $250 million investment in the on-site cell factory. This more than doubles the planned 4680 battery cell capacity to 18 gigawatt-hours annually—up from the 8 GWh target set in December 2025—while creating over 1,500 new battery-related jobs.
Total cell investments at the site now exceed previous figures, bringing the factory closer to full vertical integration: cells, packs, and vehicles produced under one roof. Tesla describes this as unique in Europe and a step toward stronger supply chain resilience.
The plans come amid regulatory and community hurdles. Earlier expansion proposals faced protests over environmental concerns and water usage, leading to phased approvals beginning in 2024. Tesla has navigated these by emphasizing sustainable practices and economic benefits, including thousands of local jobs in Brandenburg.
With nearly 12,000 employees already on site and production steadily climbing, Gigafactory Berlin is poised for growth. The combined vehicle and battery expansions position the plant as a key hub for Tesla’s European ambitions, potentially making it one of the continent’s largest manufacturing complexes if local support continues.
As EV demand recovers, these investments underscore Tesla’s commitment to scaling efficiently in Germany while addressing regional supply chain needs.
Tesla Cybertruck chosen by Kazakhstan’s elite security force: here’s why
Tesla grabs massive Las Vegas warehouse for interesting Cybercab project
