

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.
Elon Musk
Tesla Full Self-Driving gets an offer to be insured for ‘almost free’
“If @elonmusk is game, we’d be happy to explore insuring Tesla FSD miles for (almost) free.”

Tesla Full Self-Driving just got an insurance offer from Lemonade Co-founder and President Shai Wininger that might be too good to pass up, as he wants to insure vehicles on FSD for “almost free.”
Traditionally, Tesla vehicles are slightly more expensive to insure with traditional companies because of higher repair costs that stem from their technology and state-of-the-art structural battery design.
However, the development of the Full Self-Driving suite by Tesla has certainly pulled some tech entrepreneurs and others to believe the vehicles should be much cheaper to insure.
While there are certainly people on both sides of the spectrum, a handful of notable tech figures believe the data shows that Teslas operating on FSD are safer than human drivers.
Tesla Q2 2025 vehicle safety report proves FSD makes driving almost 10X safer
One of the tech figures who believes that is Shai Wininger, President and Co-founder of Lemonade, an insurance company that has nearly two million customers.
On X, Wininger recently announced the direct integration with Tesla vehicles that would roll out to Lemonade customers. The integration would “remove the need for a UBI device in our Pay Per Mile product. This makes activating Lemonade Car on Teslas effortless and lets us cut hardware and shipping costs, helping lower prices for Tesla drivers even further.”
He said the Tesla API complemented Lemonade’s platform because it provides “richer and more accurate driving behavior data than traditional UBI devices.”
He then proposed an idea to CEO Elon Musk, stating that Lemonade would “be happy to explore insuring Tesla FSD miles for (almost) free.”
If @elonmusk is game, we’d be happy to explore insuring Tesla FSD miles for (almost) free. https://t.co/VDcKX1JzSi
— Shai Wininger (@shai_wininger) October 17, 2025
It would provide Tesla drivers with stable and accurate insurance, while also incentivizing owners to utilize the Full Self-Driving suite for their miles, making the semi-autonomous driving platform extremely cost-effective to use.
Wininger said it would be available in states where Tesla’s in-house insurance program is not available. Tesla Insurance is available in twelve states, and is looking to expand in Florida, as we reported earlier this week. However, it has not expanded to a new state in about three years.
The thought of Lemonade being able to insure FSD miles for almost nothing is an extremely attractive offer from Wininger, and could potentially be a new outlet to make Teslas even less expensive to own and operate throughout their lifetime.
Elon Musk
Tesla CEO Elon Musk’s $1 trillion pay package hits first adversity from proxy firm
ISS said the size of the pay package will enable Musk to have access to “extraordinarily high pay opportunities over the next ten years,” and it will have an impact on future packages because it will “reduce the board’s ability to meaningfully adjust future pay levels.”

Tesla CEO Elon Musk’s $1 trillion pay package, which was proposed by the company last month, has hit its first bit of adversity from proxy advisory firm Institutional Shareholder Services (ISS).
Musk has called the firm “ISIS,” a play on its name relating it to the terrorist organization, in the past.
“ISIS”
— Elon Musk (@elonmusk) September 27, 2021
The pay package aims to lock in Musk to the CEO role at Tesla for the next decade, as it will only be paid in full if he is able to unlock each tranche based on company growth, which will reward shareholders.
However, the sum is incredibly large and would give Musk the ability to become the first trillionaire in history, based on his holdings. This is precisely why ISS is advising shareholders to vote against the pay plan.
The group said that Musk’s pay package will lock him in, which is the goal of the Board, and it is especially important to do this because of his “track record and vision.”
However, it also said the size of the pay package will enable Musk to have access to “extraordinarily high pay opportunities over the next ten years,” and it will have an impact on future packages because it will “reduce the board’s ability to meaningfully adjust future pay levels.”
The release from ISS called the size of Musk’s pay package “astronomical” and said its design could continue to pay the CEO massive amounts of money for even partially achieving the goals. This could end up in potential dilution for existing investors.
If Musk were to reach all of the tranches, Tesla’s market cap could reach up to $8.5 trillion, which would make it the most valuable company in the world.
Tesla has made its own attempts to woo shareholders into voting for the pay package, which it feels is crucial not only for retaining Musk but also for continuing to create value for shareholders.
Tesla launched an ad for Elon Musk’s pay package on Paramount+
Musk has also said he would like to have more ownership control of Tesla, so he would not have as much of an issue with who he calls “activist shareholders.”
News
Tesla is adding an interesting feature to its centerscreen in a coming update
In a recent dissection of coding, Tesla hacker green noticed that the company is bringing in screenshare with Software Update 2025.38

Tesla is adding an interesting feature to its center touchscreen in a coming update, according to a noted hacker.
In a recent dissection of coding, Tesla hacker green noticed that the company is bringing in screenshare with Software Update 2025.38. Details on the use case are slim, but he said the feature would export the car screen so it could be viewed remotely.
It would bring up a notification on the screen, along with a four-digit pin that would link the two together:
hm, have not noticed at first, but 2025.38 also brings in a “screenshare” service to export the car screen so you can view it remotely (details are unclear yet).
When you do it there’s going to be a notification on the screen. Secured by a super-duper static 4-digits pin…— green (@greentheonly) October 17, 2025
As previously mentioned, the use case is unclear, but there are some ideas. One of which is for remote support, which is something Apple has used to help resolve issues with its products.
Support staff and employees routinely tap into customers’ screens to help resolve issues, so this could be a way Tesla could also use it.
This seems especially relevant with Robotaxi, as the screen might be a crucial part of resolving customer complaints when there is no employee in the car.
Additionally, it seems as if it will not be exclusive to those owners who have newer vehicles that utilize the AMD chip. Intel will get support with the new feature as well, according to what green has noticed in the coding.
Finally, it could also be used with all sorts of content creation, especially as Full Self-Driving videos and what the vehicle sees in Driver Visualization.
As it is released, Tesla will likely release more information regarding what the screensharing mode will be used for.
For right now, many owners are wondering where it could actually work and what advantages it will offer for owners as well as the company itself.
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