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.
Cybertruck
Tesla launches new Cybertruck trim with more features than ever for a low price
This is a considerable upgrade to the Cybertruck Rear-Wheel-Drive that Tesla offered last year. It was discontinued after just a few months, but we still have yet to see anyone share pictures of it online.
Tesla has officially launched a new trim of its all-electric Cybertruck, which has more features than previous offerings at this price point, which is an incredibly good value.
Tesla is now offering the Cybertruck All-Wheel-Drive, and starting at $59,990, it appears to be a lot of truck for the money.
Along with the sub-$60,000 starting price, Tesla gives the Cybertruck AWD a 325-mile range rating, a powered tonneau cover that houses three bed outlets. It also has Powershare capability, coil springs with adaptive damping for a refined suspension feel, Steer-by-wire and four-wheel-steering, a 6′ x 4′ composite bed, a towing capacity of 7,500 pounds, and a powered frunk.
This is a considerable upgrade to the Cybertruck Rear-Wheel-Drive that Tesla offered last year. It was discontinued after just a few months, but we still have yet to see anyone share pictures of it online.
Tesla has launched a new Cybertruck trim: the Cybertruck AWD
– Starts at $59,990
– Dual Motor AWD w/ est. 325 mi of range
– Powered tonneau cover
– Bed outlets (2x 120V + 1x 240V) & Powershare capability
– Coil springs w/ adaptive damping
– Heated first-row seats w/ textile… pic.twitter.com/erZBtlq3Bs— TESLARATI (@Teslarati) February 20, 2026
That truck did not have a power tonneau, did not have adaptive suspension, leather seats, or nearly any of the premium features in the upper-level trims. It was not a great deal, either. It was only a $10,000 discount from the next Cybertruck trim, which meant losing a motor and a lot of premium features for not that much of a savings.
This is a much better offering from Tesla and could help the company see a bit of a resurgence from a sales perspective. Although the Cybertruck is a popular vehicle from a fan perspective, it is not a great seller, and Tesla knows it.
Tesla Cybertruck undergoes interior mod that many owners wanted
Despite it being a crowd favorite, it was simply priced out of people’s budgets, so this All-Wheel-Drive configuration should be easier to handle financially for many of those who wanted the Cybertruck but not the price tag that came with it.
It is not a far cry from what Tesla priced back in 2019, as it unveiled three trim levels back in November, nearly seven years ago: a Single Motor for $39,990, a Dual Motor for $49,990, and a Tri-Motor for $69,990.
This new AWD trim is just $10,000 off from that price tag, and accounting for inflation, Tesla is pretty close.
Deliveries are expected to begin in June 2026.
News
Tesla dominates JD Power EV Satisfaction ranking, grabbing top two spots
The Model 3 was the highest ranking EV considered, with a score of 804, followed by the Model Y at 797, the BMW i4 at 795, and the BMW iX at 794.
Tesla dominated JD Power’s EV Owner Satisfaction ranking for 2026, grabbing the top two spots in the survey with the Model 3 and Model Y.
The two Tesla models grabbed the first and second spots, respectively, with scores of 804 and 797 out of 1,000 possible points.
Brent Gruber, Executive Director of JD Power’s EV practice, said:
“EV market share has declined sharply following the discontinuation of the federal tax credit program in September 2025, but that dip belies steadily growing customer satisfaction among owners of new EVs. Improvements in battery technology, charging infrastructure, and overall vehicle performance have driven customer satisfaction to its highest level ever. What’s more, the vast majority of current EV owners say they will consider purchasing another EV for their next vehicle, regardless of whether they benefited from the now-expired federal tax credit.”
JD Power’s study showed three key findings: Public charging satisfaction was higher than ever, premium BEVs saw more pronounced quality improvements, and BEVs held their satisfaction ratings compared to plug-in hybrid electric vehicles (PHEVs).
Tesla Grabs Top 2 Spots
Despite what some publications might try to make you believe, Tesla is still the cream of the crop when it comes to EV ownership, and real-world owners surveyed by JD Power will prove that to you.
The Model 3 was the highest ranking EV considered, with a score of 804, followed by the Model Y at 797, the BMW i4 at 795, and the BMW iX at 794. The segment average for “Premium Battery Electric Vehicles” was 786. The Cadillac OPTIQ (762), Rivian R1S (758), Lucid Air (740), Rivian R1T (739), and Audi Q6 e-Tron (690) all finished below that threshold.
Meanwhile, a separate category for “Mass Market Battery Electric Vehicles” had the Ford Mustang Mach-E as the EV with the highest rating at 760. The segment average for this class was 727.
🚨 Tesla topped J.D. Power’s new EV Owner Satisfaction Study for 2026, with the Model 3 (804) and Model Y (797) being the top-rated vehicles, beating out the BMW i4 (795) and iX (794)
Additionally, Tesla Superchargers helped public charging satisfaction rise to new highs:
“The… pic.twitter.com/4WIxoDxHig
— TESLARATI (@Teslarati) February 19, 2026
Tesla Supercharging Improves Public Charging Satisfaction
JD Power said the availability of public charging is “by far the most improved index factor,” and that the consistent growth of publicly available charging has helped push many consumer sentiments in a positive direction.
Most of this is due to the Tesla Supercharger Network and its expansion. However, Tesla owners are also becoming more satisfied with the infrastructure after expanding access to other EV brands, the study said.
Elon Musk
Musk company boycott proposal at City Council meeting gets weird and ironic
The City of Davis in California held a weekly city council meeting on Tuesday, where it voted on a proposal to ban Musk-operated companies. It got weird and ironic.
A city council meeting in California that proposed banning the entry of new contracts with companies controlled by Elon Musk got weird and ironic on Tuesday night after councilmembers were forced to admit some of the entities would benefit the community.
The City of Davis in California held a weekly city council meeting on Tuesday, where it voted on a proposal called “Resolution Ending Engagement With Elon Musk-Controlled Companies and To Encourage CalPERS To Divest Stock In These Companies.”
The proposal claimed that Musk ” has used his influence and corporate platforms to promote political ideologies and activities that threaten democratic norms and institutions, including campaign finance activities that raise ethical and legal concerns.”
We reported on it on Tuesday before the meeting:
California city weighs banning Elon Musk companies like Tesla and SpaceX
However, the meeting is now published online, and it truly got strange.
While it was supported by various members of the community, you could truly tell who was completely misinformed about the influence of Musk’s companies, their current status from an economic and competitive standpoint, and how much some of Musk’s companies’ projects benefit the community.
City Council Member Admits Starlink is Helpful
One City Council member was forced to admit that Starlink, the satellite internet project established by Musk’s SpaceX, was beneficial to the community because the emergency response system utilized it for EMS, Fire, and Police communications in the event of a power outage.
After public comments were heard, councilmembers amended some of the language in the proposal to not include Starlink because of its benefits to public safety.
One community member even said, “There should be exceptions to the rule.”
🚨 After the City of Davis, California, held its City Council meeting on Tuesday and voted on a resolution called “Resolution Ending Engagement With Elon Musk-Controlled Companies and To Encourage CalPERS To Divest Stock In These Companies,” it was forced to admit that it needs… pic.twitter.com/hQiCIX3yll
— TESLARATI (@Teslarati) February 19, 2026
Community Members Report Out of Touch Mainstream Media Narratives
Many community members very obviously read big bold headlines about how horribly Tesla is performing in terms of electric vehicles. Many pointed to “labor intimidation” tactics being used at the company’s Fremont Factory, racial discrimination lawsuits, and Musk’s political involvement as clear-cut reasons why Davis should not consider his companies for future contracts.
However, it was interesting to hear some of them speak, very obviously out of touch with reality.
Musk has encouraged unions to propose organizing at the Fremont Factory, stating that many employees would not be on board because they are already treated very well. In 2022, he invited Union leaders to come to Fremont “at their convenience.”
The UAW never took the opportunity.
Some have argued that Tesla prevented pro-union clothing at Fremont, which it did for safety reasons. An appeals court sided with Tesla, stating that the company had a right to enforce work uniforms to ensure employee safety.
Another community member said that Tesla was losing market share in the U.S. due to growing competition from legacy automakers.
“Plus, these existing auto companies have learned a lot from what Tesla has done,” she said. Interestingly, Ford, General Motors, and Stellantis have all pulled back from their EV ambitions significantly. All three took billions in financial hits.
One Resident Crosses a Line
One resident’s time at the podium included this:
Another member of the community did this…a member of the City Council admonished him and it came to a verbal spat https://t.co/zWvKCiCkie pic.twitter.com/1L334qq9av
— TESLARATI (@Teslarati) February 19, 2026
He was admonished by City Council member Bapu Vaitla, who said his actions were offensive. The two sparred verbally for a few seconds before their argument ended.
City Council Vote Result
Ultimately, the City of Davis chose to pass the motion, but they also amended it to exclude Starlink because of its emergency system benefits.
Tesla launches new Cybertruck trim with more features than ever for a low price
Tesla dominates JD Power EV Satisfaction ranking, grabbing top two spots
