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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 just tipped its hand on a major Cybercab feature as production hits Plaid Mode
Tesla has delivered a clear signal that its Robotaxi ambitions are shifting into high gear. On April 17, longtime factory observer and drone pilot Joe Tegtmeyer captured drone footage and still images showing approximately 14 freshly built Cybercabs parked in the outbound lot—each one conspicuously lacking a steering wheel.
Tesla just tipped its hand on a major Cybercab feature as it is putting production into Plaid Mode, but a clear indication of what the company plans to do with the vehicle is now apparent.
Tesla has delivered a clear signal that its Robotaxi ambitions are shifting into high gear, and it’s doing it with full autonomy in mind.
On April 17, longtime factory observer and drone pilot Joe Tegtmeyer captured drone footage and still images showing approximately 14 newly built Cybercabs parked in the outbound lot, each conspicuously lacking a steering wheel, and potentially pedals.
Tegtmeyer’s post highlighted the significance of this development: The images and video reveal sleek, two-seat Cybercabs in their final production form: no driver controls, no side mirrors, and the minimalist interior first unveiled at Tesla’s “We Robot” event in October 2024.
Something big has changed at Giga Texas with Cybercab production … ~ 14 in the outbound lot WITHOUT STEERING WHEELS!
Earlier this week, the production line has begun what we are all waiting for and I would expect to see many more starting on Monday, 4/20 🤠
A big step… pic.twitter.com/K17ZzBlQ8k
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) April 17, 2026
These units contrast with earlier test vehicles spotted at the factory’s crash-test area, which carried temporary steering wheels and pedals to meet current federal regulations during data-collection phases.
The outbound-lot vehicles appear complete, with production wheels, tire stickers, and the signature Cybercab styling ready for deployment.
This sighting represents a pivotal transition. Tesla designed the Cybercab from the ground up as a purpose-built robotaxi, engineered for unsupervised Full Self-Driving (FSD) operation. Removing manual controls eliminates cost, complexity, and weight while maximizing interior space and range.
The move also signals that Tesla has cleared initial validation hurdles and is now building vehicles to the exact specification intended for commercial robotaxi service.
Industry watchers note the timing aligns with Tesla’s broader rollout plans. Production of early Cybercabs began in late 2025 and early 2026, primarily for internal testing and regulatory compliance.
Federal Motor Vehicle Safety Standards currently limit vehicles without steering wheels to 2,500 units per year without exemption, a cap that Tesla is navigating through ongoing filings.
Tesla Cybercab spotted next to Model Y shows size comparison
The appearance of steering-wheel-free units in the outbound lot suggests the company is preparing a small initial fleet—likely for Austin pilot operations or further validation—while pushing for regulatory relief to scale output.
The development comes as Tesla ramps its dedicated Cybercab line at Gigafactory Texas. If the Monday surge materializes as predicted, observers expect dozens more units to accumulate rapidly.
With unsupervised FSD advancing and regulatory conversations ongoing, these wheel-less Cybercabs parked under the Texas sun represent more than hardware—they embody Tesla’s bet that autonomous mobility is no longer a prototype dream but an imminent reality.
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Tesla preps new Model Y trim for India, a once-elusive market
Tesla’s journey into India began with significant hurdles. For years, the electric vehicle giant faced steep import tariffs ranging from 70 percent to 110 percent on fully built vehicles, which dramatically inflated prices and stalled entry plans.
Tesla is preparing to bring its newest Model Y trim to India, a once-elusive market that was hesitant to allow any vehicles built outside the market into its automotive sector.
Now, it is preparing to allow China-built Model Y vehicles to come into the country, in an effort to expand sales and offer what is a widely-requested variant to Indian customers.
Tesla’s journey into India began with significant hurdles. For years, the electric vehicle giant faced steep import tariffs ranging from 70 percent to 110 percent on fully built vehicles, which dramatically inflated prices and stalled entry plans.
Elon Musk repeatedly criticized these duties as among the world’s highest, making premium EVs like the Model Y prohibitively expensive for most buyers in the price-sensitive market.
After prolonged negotiations and multiple delays, Tesla finally debuted in July 2025 with a quiet rollout focused on luxury segments. It opened showrooms in Mumbai and New Delhi, importing standard Model Y SUVs from its Shanghai Gigafactory.
Tesla China posts strong February wholesale growth at Gigafactory Shanghai
Yet the launch proved challenging: vehicles carried sticker prices near $70,000, leading to tepid demand. Bloomberg reported only about 600 orders in the first two months, while official data showed just 227 registrations for all of 2025—far below internal targets. By early 2026, the company offered discounts of up to ₹200,000 ($2,200) to clear unsold inventory.
Now, less than a year later, Tesla is demonstrating resilience and adaptability. According to a Bloomberg report on April 17, the company is preparing to launch the Model Y L—a six-seat, long-wheelbase variant with three-row seating—as early as next week.
This marks Tesla’s first new product introduction in India since its initial entry. Notably, the newest Model Y configuration, which debuted in China in 2025 and features extended space tailored for families, will once again be exported directly from Tesla’s Shanghai Gigafactory.
The move highlights a shift from early struggles to a more targeted approach, leveraging an existing platform to better suit Indian preferences for multi-generational, spacious SUVs without committing to immediate local production.
Tesla launches in India with Model Y, showing pricing will be biggest challenge
The Model Y L’s arrival underscores Tesla’s incremental strategy amid global EV headwinds and India’s unique challenges, including limited charging infrastructure and competition from local manufacturers.
While tariffs continue to keep pricing in the premium segment, the six-seater variant aims to broaden appeal beyond early luxury adopters by addressing practical family needs.
This evolution, from battling high barriers and disappointing initial sales to exporting its latest derivative model, signals cautious optimism.
Success with the Model Y L could strengthen Tesla’s foothold in one of the world’s most populous markets and potentially pave the way for deeper investments, such as localized manufacturing, should tariff relief or policy shifts materialize.
For now, the China-to-India supply chain represents a pragmatic bridge over the very obstacles that once made entry so difficult.
Elon Musk
Tesla’s golden era is no longer a tagline
Tesla “golden era” teaser video highlights the future of transportation and why car ownership itself may be the next thing to change.
The golden age of autonomous ridesharing is arriving, and Tesla is making sure we can all picture a future that looks like the future. A recent teaser posted to X shows a Cybercab parked outside a home, and with a clear message that your everyday life may soon look like this when the driverless vehicles shows up at your door.
Tesla has begun the rollout of its Robotaxi service across US cities, and the production of its dedicated, fully-autonomous Cybercab vehicle. The first Cybercab rolled off the Giga Texas assembly line on February 17, 2026, with volume production now targeted for this month. Additionally, the Robotaxi service built around it is already running, without human drivers, in US cities.
Tesla Cybercab production ignites with 60 units spotted at Giga Texas
The Cybercab is built without a steering wheel, pedals, or side mirrors, designed from the ground up for unsupervised autonomous operation. Musk described the manufacturing approach as closer to consumer electronics than traditional car production, targeting a cycle time of one unit every ten seconds at full scale.
Drone footage from April 13, 2026 captured over 50 Cybercab units on the Giga Texas campus, with several clustered near the crash testing facility. Musk has noted that Tesla plans to sell the Cybercab to consumers for under $30,000, and owners will be able to add their vehicles to the Tesla robotaxi network when not in personal use, potentially generating income to offset the vehicle’s purchase cost. That model changes the math on vehicle ownership in a meaningful way, making a car something closer to a depreciating asset that can also earn by paying itself off and generate a profit.
During Tesla’s Q4 earnings call, the company confirmed plans to expand the Robotaxi program to seven new cities in the first half of 2026, including Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas. The service already runs without safety drivers in Austin, and public road testing of the Cybercab has expanded to five states, including California, Texas, New York, Illinois, and Massachusetts.
Golden era pic.twitter.com/AS6pX2dK8N
— Tesla Robotaxi (@robotaxi) April 16, 2026
Tesla just tipped its hand on a major Cybercab feature as production hits Plaid Mode
Tesla preps new Model Y trim for India, a once-elusive market
