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.
Tesla appears to be making a change to its exterior side repeater cameras, which are used for the company’s Full Self-Driving suite, and other features, like Sentry Mode.
The change appears to be a potential upgrade in preparation for the AI5 suite, which CEO Elon Musk said will be present on a handful of vehicles next year, but will not be widely implemented until 2027.
Currently, Tesla uses a Sony sensor lens with the model number IMX963, a 5-megapixel camera with better dynamic range and low-light performance over the past iteration in Hardware 3 vehicles. Cameras in HW3 cars were only 1.2 megapixels.
However, Tesla is looking to upgrade, it appears, as Tesla hacker greentheonly has spotted a new sensor model in its firmware code, with the model number IMX00N being explicitly mentioned:
Looks like Tesla is changing (upgrading?) cameras in (some?) new cars produced.
Where as HW4 to date used exterior cameras with IMX963, now they (might potentially) have something called IMX00N— green (@greentheonly) December 1, 2025
Sony has not announced any formal specifications for the IMX00N model, and although IMX963 has been used in AI4/HW4 vehicles, it only makes sense that Tesla would prepare to upgrade these external cameras once again in preparation for what it believes to be the second hardware iteration capable of fully autonomous self-driving.
Tesla has maintained that AI4/HW4 vehicles are capable of self-driving operation, but AI5 will likely help the company make significant strides, especially in terms of overall performance and data collection.
Tesla last updated its exterior cameras on its vehicles back in early 2023, as it transitioned to the 5-megapixel IMX963. It also added additional cameras to its vehicles in January with the new Model Y, which featured an additional lens on the front bumper to help with Full Self-Driving.
Tesla’s new self-driving computer (HW4): more cameras, radar, and more
Tesla launched the Model Y Standard as an attempt to offer affordable electric vehicles to consumers now that the $7,500 EV tax credit is gone. We were able to spend four days with the car, and it was more than enough time to determine whether or not the car was worth the $9,000 discount compared to the Premium All-Wheel-Drive configuration, which is what I drive daily.
The Model Y Standard was stripped of some of the features that are present in the Premium trims of the Model Y: no glass roof, a sound system with roughly half the speakers, fewer acoustic-lined glass windows, less storage, and less functionality from an interior standpoint.
However, there are some real advantages to purchasing a Standard Model Y, and there are a handful of situations where this car would be well-suited.
Do I think it is worth the lower price? Well, I’ll get to that later in this article.
Initial Thoughts
In my first impressions review of the Model Y Standard, I talked about the face-value differences between my Model Y Premium and the new, more affordable trim. You will first notice the lack of storage between the front two seats, as the cupholder and additional storage bin sliding doors are void. You still get the cupholders, but they are exposed, which isn’t a huge deal, but it definitely takes away from the sleek look the Premium trim offers.
Additionally, the textile seats replace those of the vegan leather that is available in the upper-level trims. I mentioned previously that I could take or leave the vegan leather for the textile seats, as they are easy to clean, quick drying, and hide oils from your skin much better than leather does.
However, there comes one big sacrifice that I have been spoiled by, as the textile seats are not ventilated, so say goodbye to cooling your keister in the Summertime.
The lack of a glass roof is something many owners might not even notice. However, I have been spoiled by the glass roof in my car, and I look out of it every time I’m in my car. It is one of my favorite features, without a doubt. While it would not be a dealbreaker for me, it would be something I would miss terribly.
Things I Noticed After Several Days
Cabin Noise
One of the biggest things I noticed after the first two days in the Model Y Standard is that the cabin is much louder than the Premium. This is because Tesla did not acoustically line all of the glass in the Standard configuration, as it did in the Premium. The side windows are not treated, just the windshields. Therefore, you notice the noise level in the cabin is louder than in the Premium.
If you had not been driving in a Premium trim for a few months, you might not notice it. However, it is something that is a big sacrifice when moving to a different trim level, especially one that is less premium than what you might currently drive.
I have always been so shocked at how amazingly quiet the Premium trim’s cabin is; my Model Y is extremely peaceful, even when I’m sitting in bumper-to-bumper traffic, and people have modified mufflers and exhaust systems, tractor-trailers are going by, or crotchrockets are zipping by on the interstate.
This is a huge difference between the two cars, and it is something that is really hard to get used to. I know, first-world problems, right? But when you’re paying between $39,990 and $48,990 for a car, those little things truly do matter.
Stereo System Differences
Another thing I was very aware of was how weak the sound system is. I think if I had bought a Standard Model Y, I would have looked at having the speakers and subwoofers upgraded; I was almost disappointed in how much of a change it was between the two cars.
When I finally picked up my Model Y Premium on Friday (which had been detailed by the awesome team at Tesla Mechanicsburg), the first thing I did was crank up the volume and listen to some music. I really missed having a premium sound system.
Ride Quality
There are virtually no differences between the two cars in terms of ride quality. They are both extremely fun to drive, and the suspension in the Model Y Standard feels perhaps a little bit stiffer than the Premium. Regardless, I didn’t truly notice all that much of a change.
Driving this car around windy roads and tight turns was just as fun as my Model Y Premium. It was a blast to test out, and the slight change in feel was welcome. It’s always fun to drive new cars.
Performance
This is the first EV I’ve ever ridden in where I did not feel that awesome sensation of instant torque. It’s still a quick car, but it is missing that pep in its step that many of us have become accustomed to.
If you want to get someone’s true reaction to EV acceleration, let me just put it this way: This is not the car to do it in.
Some Little-Known Facts About the Model Y Standard
Most of us know that the Model Y Standard has a glass roof, but it is opaque, so even if you took out the headliner, you still would not see out of it. However, there is an interesting little tidbit from a Service perspective that does not make much sense.
If the Model Y glass roof cracks or is broken and needs to be replaced, Service is required to pull off the entire headliner and topside interior to access the glass. It cannot be replaced from the outside. In the Premium, because the glass is exposed, it is a much simpler process to replace the glass. This was an interesting thing I learned.
Additionally, the seat controls are only available on the center screen, which makes it difficult to adjust the seat if you are larger than the person who sat in the car previously. In order to adjust the seat, you’ll have to lean over the chair, access the controls from the screen, and adjust it manually before getting in.
Is the Tesla Model Y Standard Worth the Cheaper Price?
For an additional $9,000 to buy the Model Y Premium AWD, you would get a more capable powertrain, a quieter cabin, better performance, an upgraded interior, more storage, a better sound system, and more luxury features.
To me, the Standard is a car that seems extremely ideal for a teenager’s first vehicle (I got a $1,500 1998 VW Jetta K2 with 200,000 miles when I was 16), or a fleet vehicle. This would be the perfect car for salespeople to use: it does not have all the bells and whistles, it is efficient, and it is just what is needed to drive around to meetings.
For a personal car, it really depends on what you think you need. Admittedly, I’ve been spoiled by the Premium configuration, and personally, I wouldn’t go down to the Standard after owning a Premium trim.
News
Tesla’s new Holiday perk is timed perfectly to make FSD a household name
Tesla AI4 owners get FSD (Supervised) through Christmas, New Year’s Eve and well into the post-holiday travel season.
Tesla quietly rolled out a free Full Self-Driving (Supervised) trial for roughly 1.5 million HW4 owners in North America who never bought the package, and the timing could very well be genius.
As it turns out, the trial doesn’t end after 30 days. Instead, it expires January 8, 2026, meaning owners get FSD (Supervised) through Christmas, New Year’s Eve and well into the post-holiday travel season. This extended window positions the feature for maximum word-of-mouth exposure.
A clever holiday gift
Tesla watcher Sawyer Merritt first spotted the detail after multiple owners shared screenshots showing the trial expiring on January 8. He confirmed with affected users that none had active FSD subscriptions before the rollout. He also observed that Tesla never called the promotion a “30-day trial,” as the in-car message simply reads “You’re Getting FSD (Supervised) For the Holidays,” which technically runs until after the new year.
The roughly 40-day period covers peak family travel and gatherings, giving owners ample opportunity to showcase the latest FSD V14’s capabilities on highway trips, crowded parking lots and neighborhood drives. With relatives riding along, hands-off highway driving and automatic lane changes could become instant conversation starters.
Rave reviews for FSD V14 highlight demo potential
FSD has been receiving positive reviews from users as of late. Following the release of FSD v14.2.1, numerous owners praised the update for its smoothness and reliability. Tesla owner @LactoseLunatic called it a “huge leap forward from version 14.1.4,” praising extreme smoothness, snappy lane changes and assertive yet safe behavior that allows relaxed monitoring.
-->Another Tesla owner, @DevinOlsenn, drove 600 km without disengagements, noting his wife now defaults to FSD for daily use due to its refined feel. Sawyer Merritt also tested FSD V14.2.1 in snow on unplowed New Hampshire roads, and the system stayed extra cautious without hesitation. Longtime FSD tester Chuck Cook highlighted improved sign recognition in school zones, showing better dynamic awareness. These reports of fewer interventions and a more “sentient” drive could turn family passengers into advocates, fueling subscriptions come January.
Tesla is making a change to its exterior cameras with a potential upgrade
Tesla Model Y Standard Full Review: Is it worth the lower price?
