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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 wins another award critics will absolutely despise
Tesla earned an overall score of 49 percent, up 6 percentage points from the previous year, widening its lead over second-place Ford (45 percent, up 2 points) to a commanding 4-percentage-point gap. The company also excelled in the Fossil Free & Environment category with a 50 percent score, reflecting strong progress in reducing emissions and decarbonizing operations.
Tesla just won another award that critics will absolutely despise, as it has been recognized once again as the company with the most sustainable supply chain.
Tesla has once again proven its critics wrong, securing the number one spot on the 2026 Lead the Charge Auto Supply Chain Leaderboard for the second consecutive year, Lead the Charge rankings show.
NEWS: Tesla ranked 1st on supply chain sustainability in the 2026 Lead the Charge auto/EV supply chain scorecard.
“@Tesla remains the top performing automaker of the Leaderboard for the second year running, and increased its overall score by 6 percentage points, while Ford only… pic.twitter.com/nAgGOIrGFS
— Sawyer Merritt (@SawyerMerritt) March 4, 2026
This independent ranking, produced by a coalition of environmental, human rights, and investor groups including the Sierra Club, Transport & Environment, and others, evaluates 18 major automakers on their efforts to build equitable, sustainable, and fossil-free supply chains for electric vehicles.
Tesla earned an overall score of 49 percent, up 6 percentage points from the previous year, widening its lead over second-place Ford (45 percent, up 2 points) to a commanding 4-percentage-point gap. The company also excelled in the Fossil Free & Environment category with a 50 percent score, reflecting strong progress in reducing emissions and decarbonizing operations.
Perhaps the most impressive achievement came in the batteries subsection, where Tesla posted a massive +20-point jump to reach 51 percent, becoming the first automaker ever to surpass 50 percent in this critical area.
Tesla achieved this milestone through transparency, fully disclosing Scope 3 emissions breakdowns for battery cell production and key materials like lithium, nickel, cobalt, and graphite.
The company also requires suppliers to conduct due diligence aligned with OECD guidelines on responsible sourcing, which it has mentioned in past Impact Reports.
While Tesla leads comfortably in climate and environmental performance, it scores 48 percent in human rights and responsible sourcing, slightly behind Ford’s 49 percent.
The company made notable gains in workers’ rights remedies, but has room to improve on issues like Indigenous Peoples’ rights.
Overall, the leaderboard highlights that a core group of leaders, Tesla, Ford, Volvo, Mercedes, and Volkswagen, are advancing twice as fast as their peers, proving that cleaner, more ethical EV supply chains are not just possible but already underway.
For Tesla detractors who claim EVs aren’t truly green or that the company cuts corners, this recognition from sustainability-focused NGOs delivers a powerful rebuttal.
Tesla’s vertical integration, direct supplier contracts, low-carbon material agreements (like its North American aluminum deal with emissions under 2kg CO₂e per kg), and raw materials reporting continue to set the industry standard.
As the world races toward electrification, Tesla isn’t just building cars; it’s building a more responsible future.
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Tesla Full Self-Driving likely to expand to yet another Asian country
“We are aiming for implementation in 2026. [We are] doing everything in our power [to achieve this],” Richi Hashimoto, president of Tesla’s Japanese subsidiary, said.
Tesla Full Self-Driving is likely to expand to yet another Asian country, as one country seems primed for the suite to head to it for the first time.
The launch of Full Self-Driving in yet another country this year would be a major breakthrough for Tesla as it continues to expand the driver-assistance program across the world. Bureaucratic red tape has held up a lot of its efforts, but things are looking up in some regions.
Tesla is poised to transform Japan’s roads with Full Self-Driving (FSD) technology by 2026.
Richi Hashimoto, president of Tesla’s Japanese subsidiary, announced the ambitious timeline, building on successful employee test drives that began in 2025 and earned positive media reviews. Test drives, initially limited to the Model 3 since August 2025, expanded to the Model Y on March 5.
Once regulators approve, Over-the-Air (OTA) software updates could activate FSD across roughly 40,000 Teslas already on Japanese roads. Japan’s orderly traffic and strict safety culture make it an ideal testing ground for autonomous driving.
Hashimoto said:
“We are aiming for implementation in 2026. [We are] doing everything in our power [to achieve this].”
The push aligns with Hashimoto’s leadership, which has been credited for Tesla’s sales turnaround.
In 2025, Tesla delivered a record 10,600 vehicles in Japan — a nearly 90% jump from the prior year and the first time exceeding 10,000 units annually.
BREAKING 🇯🇵 FSD IS LIKELY LAUNCHING IN JAPAN IN 2026 🚨
Richi Hashimoto, President of Tesla’s Japanese subsidiary, stated: “We are aiming for implementation in 2026” and added that they are “doing everything in our power” to achieve this 🔥
Test drives in Japan began in August… pic.twitter.com/jkkrJLszXN
— Ming (@tslaming) March 5, 2026
The strategy shifted from online-only sales to adding 29 physical showrooms in high-traffic malls, plus staff training and attractive financing offers launched in January 2026. Tesla also plans to expand its Supercharger network to over 1,000 points by 2027, boosting accessibility.
This Japanese momentum reflects Tesla’s broader international expansion. In Europe, Giga Berlin produced more than 200,000 vehicles in 2025 despite a temporary halt, supplying over 30 markets with plans for sequential production growth in 2026 and battery cell manufacturing by 2027.
While regional EV sales faced headwinds, the factory remains a cornerstone for Model Y deliveries across the continent.
In Asia, Giga Shanghai continues to be recognized as Tesla’s powerhouse. China, the company’s largest market, saw January 2026 deliveries from the plant rise 9 percent year-over-year to 69,129 units, with affordable new models expected later this year.
FSD advancements, already progressing in the U.S. and South Korea, are slated for Europe and further Asian rollout, complementing plans to expand Cybercab and Optimus to new markets as well.
With OTA-enabled autonomy on the horizon and retail strategies paying dividends, Tesla is strengthening its footprint from Tokyo showrooms to Berlin assembly lines and Shanghai exports. As Hashimoto continues to push Tesla forward in Japan, the company’s global vision for sustainable, self-driving mobility gains traction across Europe and Asia.
News
Tesla ships out update that brings massive change to two big features
“This change only updates the name of certain features and text in your vehicle,” the company wrote in Release Notes for the update, “and does not change the way your features behave.”
Tesla has shipped out an update for its vehicles that was caused specifically by a California lawsuit that threatened the company’s ability to sell cars because of how it named its driver assistance suite.
Tesla shipped out Software Update 2026.2.9 starting last week; we received it already, and it only brings a few minor changes, mostly related to how things are referenced.
“This change only updates the name of certain features and text in your vehicle,” the company wrote in Release Notes for the update, “and does not change the way your features behave.”
The following changes came to Tesla vehicles in the update:
- Navigate on Autopilot has now been renamed to Navigate on Autosteer
- FSD Computer has been renamed to AI Computer
Tesla faced a 30-day sales suspension in California after the state’s Department of Motor Vehicles stated the company had to come into compliance regarding the marketing of its automated driving features.
The agency confirmed on February 18 that it had taken a “corrective action” to resolve the issue. That corrective action was renaming certain parts of its ADAS.
Tesla discontinued its standalone Autopilot offering in January and ramped up the marketing of Full Self-Driving Supervised. Tesla had said on X that the issue with naming “was a ‘consumer protection’ order about the use of the term ‘Autopilot’ in a case where not one single customer came forward to say there’s a problem.”
This was a “consumer protection” order about the use of the term “Autopilot” in a case where not one single customer came forward to say there’s a problem.
Sales in California will continue uninterrupted.
— Tesla North America (@tesla_na) December 17, 2025
It is now compliant with the wishes of the California DMV, and we’re all dealing with it now.
This was the first primary dispute over the terminology of Full Self-Driving, but it has undergone some scrutiny at the federal level, as some government officials have claimed the suite has “deceptive” names. Previous Transportation Secretary Pete Buttigieg was one of those federal-level employees who had an issue with the names “Autopilot” and “Full Self-Driving.”
Tesla sued the California DMV over the ruling last week.
Tesla wins another award critics will absolutely despise
Tesla Full Self-Driving likely to expand to yet another Asian country
