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Tesla FSD Beta 10.69.2.2 extending to 160k owners in US and Canada: Elon Musk

Credit: Whole Mars Catalog

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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. 

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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.

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– 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.

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– 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.

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– 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.

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– 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.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Supercharger access has proven to be a challenge for one company

Interestingly, it seems to be the Volkswagen brand specifically that is having issues with compatibility with Tesla Superchargers. Other brands under the VW umbrella, like Audi and Porsche, have already gained access to the charging network.

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Credit: MarcoRP | X

Tesla Supercharger access has proven to be quite the challenge for one company, as it continues to delay the date that it will enable its owners to charge at the most expansive network in the world.

Tesla Superchargers have been opening up to other brands for well over a year, and many car companies that are manufacturing electric vehicles now have access to the vast network that has over 70,000 locations worldwide.

Tesla to launch Supercharger access for VW owners later this year

However, one brand has experienced some issues with what it is calling “technical challenges,” specifically failing to enable cross-compatibility between its vehicles and Tesla Superchargers.

Volkswagen has had to delay its ability to enable customers to charge at Superchargers because there have been some difficulties getting things to run smoothly. A report from PCMag cites a quote from a Volkswagen spokesperson who said there are still plans to deliver this year, but there have been some delays:

“Volkswagen looks forward to making it possible for ID. Buzz and ID.4 vehicle owners to gain access to the Tesla NACS Partner Superchargers. The timeline has been delayed by technical challenges, and we ask for customers’ patience. We still expect to deliver access this year.”

Interestingly, it seems to be the Volkswagen brand specifically that is having issues with compatibility with Tesla Superchargers. Other brands under the VW umbrella, like Audi and Porsche, have already gained access to the charging network.

Volkswagen EV owners will need to use an official VW adapter to access the Tesla Supercharger Network once the issues are resolved. It still plans to launch access to its owners later this year, but its spokesperson did not announce any planned timeline.

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Tesla Giga Berlin makes big move amid strong sales and demand

“We currently have very good sales figures and have therefore revised our production plans for the third and fourth quarters upwards.”

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Credit: Tesla Manufacturing

Tesla is making a big move at its factory in Germany, known as Giga Berlin, as managers at the plant have indicated the company plans to increase its production rate for the remainder of the year.

Giga Berlin is responsible for manufacturing Model Y vehicles for several markets worldwide, including those outside of Europe. It was opened in March 2022, and it recently built its 500,000th Model Y in March and its 100,000th new Model Y just three weeks ago.

Due to some encouraging sales figures in the markets it provides vehicles for, Tesla said it is planning to increase production at the factory for the remainder of the year.

Andrè Thierig, plant manager at Giga Berlin, said to German news outlet DPA on Sunday that market data has encouraged a move to be made regarding the production at the factory:

“We currently have very good sales figures and have therefore revised our production plans for the third and fourth quarters upwards.”

It is interesting to see this kind of narrative from Thierig, especially as data has shown Tesla has struggled in various markets, including Germany, this year.

Sales drops have been reported, but other markets are holding strong, especially those in Northern Europe, such as Norway, where the Model Y saw a nearly 39 percent increase in sales in August compared to the same month the previous year.

Tesla Model Y leads sales rush in Norway in August 2025

Gigafactory Berlin supplies vehicles for other markets, such as Canada, Australia, and New Zealand, which are strategically important to avoid tariffs. It also builds cars for the Middle East.

Thierig reiterated this point during the interview with DPA:

“We supply well over 30 markets and definitely see a positive trend there.”

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Elon Musk

Tesla analyst says Musk stock buy should send this signal to investors

“With Musk’s (Tesla stock) purchase, combined with the upward momentum for delivery expectations and robotaxi rollout, we are becoming more bullish.”

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(Credit: Tesla)

Tesla CEO Elon Musk purchased roughly $1 billion in Tesla shares on Friday, and analysts are now breaking down the move as the stock is headed upward.

One of them is William Blair analyst Jed Dorsheimer, who said in a new note to investors on Monday that Musk’s move should send a signal of confidence to stock buyers, especially considering the company’s numerous catalysts that currently exist.

Elon Musk just bought $1 billion in Tesla stock, his biggest purchase ever

Dorsheimer said in the note:

“With Musk’s (Tesla stock) purchase, combined with the upward momentum for delivery expectations and robotaxi rollout, we are becoming more bullish. This purchase is Musk’s first buy since 2020. To us, this sends a strong signal of confidence in the most important part of Tesla’s future business, robotaxi.”

Musk putting an additional $1 billion back into the company in the form of more stock ownership is obviously a huge vote of confidence.

He knows more than anyone about the progress Tesla has made and is making on the Robotaxi platform, as well as the company’s ongoing efforts to solve vehicle autonomy. If he’s buying stock, it is more than likely a good sign.

Tesla has continued to expand its Robotaxi platform in a number of ways. The project has gotten bigger in terms of service area, vehicle fleet, and testing population. Tesla has also recently received a permit to test in Nevada, unlocking the potential to expand into a brand-new state for the company.

In the note, Dorsheimer also touched on Musk’s recent pay package, revealing that William Blair recently met with Tesla’s Board of Directors, who gave the firm some more color on the situation:

“We recently participated in a meeting with Tesla’s board of directors to discuss the details of Musk’s performance package. The board is confident of its position in the Delaware case and anticipates a verdict by end of year. It does not expect a similar situation to occur under new Texas jurisdiction. Musk has the board’s full support, and we expect he’ll get more than enough shareholder support for this to pass with flying colors.”

Tesla stock is up over 6 percent so far today, trading at $421.50 at the time of publication.

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