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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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3 years ago

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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.

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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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Elon Musk

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

Prior to this latest move, Musk’s most recent purchase was for about 200,000 shares worth $10 million in 2020.

Published

34 minutes ago

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September 15, 2025

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Gage Skidmore from Surprise, AZ, United States of America, CC BY-SA 2.0 , via Wikimedia Commons


Tesla (NASDAQ:TSLA) shares rose on Monday after CEO Elon Musk disclosed a rare insider purchase of company stock worth about $1 billion. 

A filing with the U.S. Securities and Exchange Commission (SEC) revealed that Musk acquired 2.57 million shares last Friday at various prices. The move represents Musk’s largest TSLA purchase ever by value, as per Verity data.

Elon Musk’s TSLA purchase

The disclosure sent Tesla shares up more than 8% in premarket trading Monday, as investors read the purchase as a notable vote of confidence, as stated in a CNBC report. Tesla stock had closed slightly lower Friday but remains more than 25% higher over the past three months. It should be noted that prior to this latest move, Musk’s most recent purchase was for about 200,000 shares worth $10 million in 2020.

Market watchers say the purchase could help shore up investor sentiment amid a volatile year for TSLA stock. Shares have faced pressure from a variety of factors, from year-over-year sales challenges due to the new Model Y changeover, political controversies tied to Musk, and reduced U.S. incentives for EVs under the Trump administration. Nevertheless, analysts such as Wedbush’s Dan Ives stated that Musk’s purchase was a “huge sign of confidence for Tesla bulls and shows Musk is doubling down on his Tesla A.I. bet.”

Tesla and Elon Musk

Musk already owns about 13% of Tesla, and his latest purchase comes as the company prepares for a key shareholder vote in November. Investors will decide whether to approve a compensation package for Musk that could ultimately be worth as much as $975 billion if ambitious market value milestones are achieved. The package has a long-term target of pushing Tesla’s market capitalization to $8.5 trillion, compared with about $1.3 trillion at Friday’s close.

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Wall Street’s current consensus price target still implies a roughly 20% decline from current levels, though some Tesla bulls remain optimistic that the company could shift its focus toward autonomy, AI, and robotics. Musk has also asked shareholders to approve an investment into his latest venture, xAI.

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Tesla adjusts one key detail of Robotaxi operations in Austin

Published

2 days ago

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September 13, 2025

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Tesla is adjusting one key detail of Robotaxi operations in Austin: service hours.

Tesla’s Robotaxi platform in Austin has been active since late June and has been running smoothly since then. It has its limits, as Tesla has set hours that Robotaxis can operate, as well as a distinct Service Area, also known as a geofence, which has expanded three times already.

While the geofence is currently approximately 170 square miles in size, Tesla has recently enabled freeway drives, which also necessitated an adjustment to the company’s strategy with its “Safety Monitors.”

Tesla explains why Robotaxis now have safety monitors in the driver’s seat

Traditionally, they sit in the passenger’s seat. During highway driving, they move to the driver’s seat.

These are just a few adjustments that have been made over the past two and a half months. Now, Tesla is adjusting the service hours of Robotaxi operation in Austin, but only slightly.

Tesla will now operate its Robotaxi ride-hailing service from 6 a.m. to 2 a.m., extending the hours by two hours. It previously shut down at midnight.

Tesla has implemented a variety of safeguards to ensure riders and drivers are safe during Robotaxi rides, and they have made it a point to adjust things when they feel confident that it will not cause any issues.

Many people have been critical of Robotaxi, especially because a person sits in the front of the car.

However, an accident or some type of mistake could do more damage to the autonomous travel sector than anything else. This would not just impact Tesla, but any company operating an autonomous ride-hailing service in the country.

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Tesla Model Y ownership two weeks in: what I love and what I don’t

With any new car, I don’t really find things I dislike within the first few months; the novelty of a shiny new vehicle usually wears off eventually.

Published

2 days ago

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September 13, 2025

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Credit: Tesla

I am officially two weeks into Tesla ownership, having picked up my Model Y Long Range All-Wheel-Drive on Saturday, August 30. I have many things I really love, and I’ll do my best to come up with a few things I don’t, although I find that to be very difficult currently.

With any new car, I don’t really find things I dislike within the first few months; the novelty of a shiny new vehicle usually wears off eventually. In the past, I’ve had a car I only kept for nine months, but I loved it for the first two months. I am sure down the road, some things about the Tesla will bother me, but right now, I don’t have too much to complain about.

As for the things I love, I’ll try to keep it to just five, and as I continue to write about my ownership experience in the coming months, I’ll see if these things change.

A Quick Rundown

In the two weeks I have had my new Model Y, I have driven 783 miles. I have driven it manually, used Full Self-Driving, navigated tight city streets in Baltimore, and driven spiritedly on the winding back roads of Pennsylvania.

I traded my ICE vehicle for a Tesla Model Y: here’s how it went

I have had the opportunity to put it to the test in a variety of ways, and I feel like I have a great idea of this car and how it handles and drives just two weeks in.

What I Love About My Tesla Model Y

I am only going to pick a handful of things, but do not take this list as a complete one. I truly have so many things I love about this car, but I want to mention the ones that are not necessarily “novelties.” I love the A/C seats, but it’s not something I feel deserves a mention here, because it would not likely sway someone to consider the car.

Instead, I want to highlight what I feel are things that truly set the Model Y apart from cars I’ve had in the past.

Tesla Full Self-Driving

Available on all Teslas, Full Self-Driving is something I use every day. It is not only a convenience thing, but it is also truly a fun feature to track improvements, and it’s been fun to show a lot of my friends who are not familiar with its capabilities just how safe and impressive it is.

My Fiancè and I have watched Full Self-Driving make slight changes in performance in the two weeks we’ve been using it. I tracked one instance on a Pennsylvania back road when the car stopped at an “Except Right Turn” Stop Sign. Initially, the car stopped, holding up traffic behind it. Just days later, FSD proceeded through that same Stop Sign cautiously, but without coming to a complete stop, which is the proper way to navigate through it.

This quick adjustment was very impressive, and it even caught the attention of my better half. I will say it has been very fun to watch her fall in love with this car after being very reluctant to watch me get rid of our Bronco Sport.

The Handling

Tesla refined the suspension with the new Model Y, and you can surely feel it. Coming from a larger SUV, I did miss being able to really push the limits of my car on a beautiful, sunny, and warm day, and the winding roads of Pennsylvania are calling me for a drive.

The way this car hugs turns and genuinely puts a smile on my face when I’m pushing it. Dare I say I like driving it more than I like it driving me?

Interior Storage

One of my biggest complaints about my Bronco Sport was that, despite being an SUV, it felt smaller than it was supposed to be. I had trouble fitting golf bags and luggage in the back without having other storage options. It led me to install a roof rack and get a cargo container. I would have to put longer clubs in the back seat so the bags could lie without clubs getting bent.

I don’t seem to have a significant problem with this in the Model Y. Plus, the frunk and the additional cargo under the floor of the trunk are great for bags and other things. It offers 10 cubic feet more of space with the seats down than the Bronco Sport does.

The Entertainment

Not only is the sound system in this car absolutely unbelievable, but I also really enjoy the Tesla Theater, which is really something that has revolutionized how we spend our time in the car.

Charging at the Superchargers has become a new way for us to spend time together. Even if it’s just 30 minutes, my Fiancé’s busy work schedule at the hospital means we don’t get to spend as much time together as we would like. The charging lets us go grab a snack, watch a movie or show in the car, and just be with each other.

It’s honestly my favorite thing about the car so far, that we’ve both truly enjoyed what it has done for us. It put a smile on my face to hear her say, “It’s just so much fun to be in this car” last night when we met friends for dinner.

What I Don’t Love

I’m just going to get nitpicky here, because I don’t have much to complain about.

The Paint

I love the Diamond Black, and it gets so many compliments. However, it sure does get dirty fast. I feel like I’m going to have to invest in a car wash membership or set aside time each week to clean it. This is not a Tesla-specific problem, of course.

Climate Control

Another “first-world problem,” but sometimes I do have trouble getting the A/C to go right where I need it. I feel like, to feel the air, I have to put the fan speed to 7 or higher.

Swing Mode has been a real savior in this sense, but my Fiancè sometimes complains that my cold air will hit her when she’s already freezing. I think this is just something I need to get used to, as the vents are significantly different than any other car. It’s really not that bad, but it is worth mentioning that we’ve both said we are still adjusting to it early on.

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