News
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.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
News
Tesla shows off mysterious vehicle at Giga Texas
The mysterious structure, partially unboxed amid construction materials, has sparked widespread speculation among Tesla enthusiasts and analysts. Many are convinced it is the long-rumored Model Y L, the extended-wheelbase variant already popular in China, now arriving in Texas for potential U.S. production.
Tesla seemingly showed off a mysterious vehicle at Giga Texas, one that seems to be completely different than anything the company currently makes for the U.S. market.
The vehicle, which was spotted on the plant’s property, appears to be similar to the Model Y L that has not yet launched in North America, and is currently built at Gigafactory Shanghai in China.
Drone pilot Joe Tegtmeyer captured intriguing footage at Tesla’s Giga Texas on March 23, 2026, revealing what appears to be a large, blue plastic-wrapped vehicle body resting inside a wooden shipping crate outdoors.
Well this is interesting at Giga Texas today … what do YOU think this is? 🤔😎 pic.twitter.com/U9pLvqbf7L
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) March 23, 2026
The mysterious structure, partially unboxed amid construction materials, has sparked widespread speculation among Tesla enthusiasts and analysts. Many are convinced it is the long-rumored Model Y L, the extended-wheelbase variant already popular in China, now arriving in Texas for potential U.S. production.
The images show an elongated silhouette that stands out from standard Model Y bodies. Side-by-side comparisons shared in replies to Tegtmeyer’s post highlight key differences: the rear door extends farther over the wheel arch than on a regular Model Y, and the rear glass appears to run all the way to the spoiler lip without the metal trim seen on shorter versions.
One overlay analysis noted that the visible proportions align precisely with the Chinese-market Model Y L, which measures approximately 4.98 meters long with a 3.04-meter wheelbase, which is about seven inches longer overall than the standard Model Y sold in the U.S.
Model Y L, with a support structure on top, likely for shipping. pic.twitter.com/ET3w46DjpJ
— Owen Sparks (@OwenSparks) March 23, 2026
The vehicle is a bare “body-in-white” shell, typical of prototypes sent abroad for tooling validation and local manufacturing ramp-up. Tesla has already launched the six- and seven-seat Model Y L in China and other markets, where it offers roughly 10% more cargo space and greater family-friendly versatility.
This sighting fits Tesla’s broader strategy. Industry observers expect the company to localize Model Y L production at Giga Texas by mid-2026 to serve American families seeking extra room without stepping up to the larger Cybertruck or a future full-size SUV.
Bringing the design stateside could add tens of thousands of annual deliveries while leveraging existing Model Y lines. People have been adamant that they want the Model Y L in the U.S., especially as Tesla plans to fade the Model X, the company’s most ideal vehicle for large families, out of production in the near future.
Tesla Model Y lineup expansion signals an uncomfortable reality for consumers
While Tesla has made no official comment, the timing, amid Giga Texas expansion and steady Model Y output, suggests the mysterious crate is more than a random prototype.
If confirmed as the Model Y L, it marks another step in Tesla’s effort to refresh its bestselling SUV for global demand. The vehicle would perform exceptionally well in the U.S., and despite the company’s rather mute stance on bringing it to America, this might be the biggest hint to date that it could be on the way.
Cybertruck
Tesla Cybertruck just won a rare and elusive crash safety honor
Only the most outstanding of performances in crash tests can warrant an IIHS Top Safety Pick+ award, as vehicles listed with that ranking must achieve “Good” ratings in the small overlap front, updated side, and updated moderate overlap front tests, along with “Acceptable” or “Good” headlights standard on all trims.
Tesla Cybertruck landed a rare and elusive safety honor from the Insurance Institute for Highway Safety (IIHS). It was the only pickup truck in the U.S. market to do so.
The IIHS rewarded the Cybertruck with the Top Safety Pick+ honors, the highest marks a vehicle can receive from the agency.
Only the most outstanding of performances in crash tests can warrant an IIHS Top Safety Pick+ award, as vehicles listed with that ranking must achieve “Good” ratings in the small overlap front, updated side, and updated moderate overlap front tests, along with “Acceptable” or “Good” headlights standard on all trims.
🚨 Absolutely insane.
Tesla Cybertruck was the ONLY pickup on the market to be awarded a Top Safety Pick+ rating by the IIHS
The safest rating out there belongs to Cybertruck 📐 pic.twitter.com/Y8gLOqaL0d
— TESLARATI (@Teslarati) March 24, 2026
Cybertruck was the only truck to also win an NHTSA Five-Star Safety rating, making it the only pickup available on the market to be recognized with top marks from both agencies.
There are a multitude of options for pickups in the U.S. market, as it is one of the most popular vehicle types for consumers in the country. Pickups are great vehicles for anyone who does any sort of hauling or is just looking for extra space for any variety of reasons.
Pickups are also inherently safer than other body types on the road, mostly because they are larger and heavier, making them more favorable against other vehicle types in the event of a collision. However, Tesla has a significant advantage in safety with its vehicles because it engineers them to not only be safer in collisions, but also easier to repair.
The Cybertruck managed to achieve “Good” ratings, the highest marks available by the IIHS, in all three Crashworthiness categories, as well as “Good” ratings in both Crash Avoidance and Mitigation assessments.
It also received “Good” ratings across all driver and pedestrian crash-test performance metrics, except for one, where it earned an “Acceptable” rating for rear passengers in the Chest category.
The Cybertruck’s outstanding crash test performance has won it this incredible mark as the pickup still tends to be one of the more polarizing vehicle designs on the market.
It is no secret that Tesla has struggled with demand of the Cybertruck due to pricing, but the recent rollout of a trim that was temporarily priced at just $59,990 showed plenty of people want the all-electric pickup.
Elon Musk
Elon Musk’s Boring Co. Tunnel Vision Challenge ends with a surprise for Louisiana, Maryland and Dallas
The Boring Company stunned three cities today, awarding New Orleans, Baltimore, and Dallas free underground Loop tunnels.
Elon Musk’s The Boring Company (TBC) announced today that it is building free underground Loop tunnels in three American cities: New Orleans, Louisiana; Baltimore, Maryland; and Dallas, Texas. The company had promised one winner when it launched the Tunnel Vision Challenge in January. After receiving 487 submissions, it selected three, committing to fund and construct all of them pending a feasibility review, entirely at its own expense. For a company that has faced years of skepticism over the gap between its promises and its delivered projects, choosing to expand its commitment rather than narrow it is a notable shift in both scale and accountability.
All three projects will now enter a rigorous, fully funded diligence phase that includes meetings with elected officials, regulators, community and business leaders, geotechnical borings, and a complete investigation of subsurface utilities and infrastructure. TBC confirmed that all costs associated with this diligence process are 100% funded by the company. If all three projects pass feasibility, all three get built. If only one clears the bar, that one gets built. The company’s willingness to fund the due diligence regardless of outcome removes one of the most common early-stage barriers that kills promising infrastructure proposals before they leave a spreadsheet.
Beyond the three winners, TBC announced it will continue working with two additional entrants it found compelling enough to pursue independently: the Hendersonville Utility Tunnel in Hendersonville, Tennessee, and the Morgan’s Wonderland Tunnel in San Antonio, Texas, which would notably serve one of the nation’s premier theme parks built specifically for guests with special needs.
The challenge also coincides with TBC’s most active construction period to date. The company recently began drilling on the Music City Loop near the Tennessee State Capitol in Nashville, and in February it broke ground on a Loop in Dubai. Musk has long argued that the fundamental problem with urban infrastructure is cost and bureaucratic inertia, not engineering. “The key to solving traffic is making going 3D either up or down,” he said in 2018, a conviction now reflected in a company structure built to absorb the financial risk that typically stalls public projects for years.
Music City Loop could highlight The Boring Company’s real disruption
The Tunnel Vision Challenge’s most underappreciated element may be what it produced beyond three winners. Submissions came from individuals, companies, and governments across states including Alaska, Arkansas, Colorado, Kansas, Louisiana, Maryland, New York, and Texas, as well as from international entrants. Musk captured the underlying logic years ago when he said, “Traffic is driving me nuts. I’m going to build a tunnel boring machine and just start digging.” Today, three American cities are counting on exactly that.
Tunnel Vision Challenge results!
We’ve been overwhelmed with the amazing submissions…so we are announcing three winners!
The Thrilling Three are:
– NOLA Loop (New Orleans, LA)
– Ravens Loop (Baltimore, MD)
– University Hills Loop (Dallas, TX)What happens next? TBC and the… https://t.co/cY2ULftfiK
— The Boring Company (@boringcompany) March 24, 2026
Tesla shows off mysterious vehicle at Giga Texas
Tesla Cybertruck just won a rare and elusive crash safety honor
