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Tesla FSD Beta 10.69 release notes highlight better left turns, smoother driving
Tesla released FSD Beta 10.69 to the first round of testers over the weekend. Read v.10.69’s release notes below to check out the latest improvements.
Stay in your Lanes
- 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 connectivites. 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.
Nothing Like Smooth Driving
- 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 manevuers.
- 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.
- 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.
- Reduced latency when starting from a stop by accounting for lead vehicle jerk.
Chuck’s Left Turn
- 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 optimizable 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.
Safety is Number 1
- 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.
- Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.
- Improved speed when entering highway by better handling of upcoming map speed changes, which increases the confidence of merging onto the highway.
- Enabled faster identification of red light runners by evaluating their current kinematic state against their expected braking profile.
Tesla FSD “Brain” Improvements
- 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.
- 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.
- Improved recall of animals by 34% by doubling the size of the auto-labeled training set.
- 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.
Tesla is rolling out FSD Beta v.10.69 in phases, starting with ~1,000 testers over the weekend. Once the update is rolled out for wide release, the price of FSD Beta will increase.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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Tesla’s Apple CarPlay ambitions are not dead, they’re still in the works
For what it’s worth, as a Tesla owner, I don’t particularly see the need for CarPlay, as I have found the in-car system that the company has developed to be superior. However, many people are in love with CarPlay simply because, when it’s in a car that is capable, it is really great.
Tesla’s Apple CarPlay ambitions appeared to be dead in the water after a large amount of speculation late last year that the company would add the user interface seemed to cool down after several weeks of reports.
However, it appears that CarPlay might make its way to Tesla vehicles after all, as a recent report seems to indicate that it is still being worked on by software teams for the company.
The real question is whether it is truly needed or if it is just a want by so many owners that Tesla is listening and deciding to proceed with its development.
Back in November, Bloomberg reported that Tesla was in the process of testing Apple CarPlay within its vehicles, which was a major development considering the company had resisted adopting UIs outside of its own for many years.
Nearly one-third of car buyers considered the lack of CarPlay as a deal-breaker when buying their cars, a study from McKinsey & Co. outlined. This could be a driving decision in Tesla’s inability to abandon the development of CarPlay in its vehicles, especially as it lost a major advantage that appealed to consumers last year: the $7,500 EV tax credit.
Tesla owners propose interesting theory about Apple CarPlay and EV tax credit
Although we saw little to no movement on it since the November speculation, Tesla is now reportedly in the process of still developing the user interface. Mark Gurman, a Bloomberg writer with a weekly newsletter, stated that CarPlay is “still in the works” at Tesla and that more concrete information will be available “soon” regarding its development.
While Tesla already has a very capable and widely accepted user interface, CarPlay would still be an advantage, considering many people have used it in their vehicles for years. Just like smartphones, many people get comfortable with an operating system or style and are resistant to using a new one. This could be a big reason for Tesla attempting to get it in their own cars.
Tesla gets updated “Apple CarPlay” hack that can work on new models
For what it’s worth, as a Tesla owner, I don’t particularly see the need for CarPlay, as I have found the in-car system that the company has developed to be superior. However, many people are in love with CarPlay simply because, when it’s in a car that is capable, it is really great.
It holds one distinct advantage over Tesla’s UI in my opinion, and that’s the ability to read and respond to text messages, which is something that is available within a Tesla, but is not as user-friendly.
With that being said, I would still give CarPlay a shot in my Tesla. I didn’t particularly enjoy it in my Bronco Sport, but that was because Ford’s software was a bit laggy with it. If it were as smooth as Tesla’s UI, which I think it would be, it could be a really great addition to the vehicle.
With the launch of a new trim level for the Model Y last night, something almost went unnoticed — the loss of a moniker that Tesla just recently added to a couple of its variants of the all-electric crossover.
Tesla launched the Model Y All-Wheel-Drive last night, competitively priced at $41,990, but void of the luxurious features that are available within the Premium trims.
Upon examination of the car, one thing was missing, and it was noticeable: Tesla dropped the use of the “Standard” moniker to identify its entry-level offerings of the Model Y.
The Standard Model Y vehicles were introduced late last year, primarily to lower the entry price after the U.S. EV tax credit changes were made. Tesla stripped some features like the panoramic glass roof, premium audio, ambient lighting, acoustic-lined glass, and some of the storage.
Last night, it simply switched the configurations away from “Standard” and simply as the Model Y Rear-Wheel-Drive and Model Y All-Wheel-Drive.
There are three plausible reasons for this move, and while it is minor, there must be an answer for why Tesla chose to abandon the name, yet keep the “Premium” in its upper-level offerings.
“Standard” carried a negative connotation in marketing
Words like “Standard” can subtly imply “basic,” “bare-bones,” or “cheap” to consumers, especially when directly contrasted with “Premium” on the configurator or website. Dropping it avoids making the entry-level Model Y feel inferior or low-end, even though it’s designed for affordability.
Tesla likely wanted the base trim to sound neutral and spec-focused (e.g., just “RWD” highlights drivetrain rather than feature level), while “Premium” continues to signal desirable upgrades, encouraging upsells to higher-margin variants.
Simplifying the overall naming structure for less confusion
The initial “Standard vs. Premium” split (plus Performance) created a somewhat clunky hierarchy, especially as Tesla added more variants like Standard Long Range in some markets or the new AWD base.
Removing “Standard” streamlines things to a more straightforward progression (RWD → AWD → Premium RWD/AWD → Performance), making the lineup easier to understand at a glance. This aligns with Tesla’s history of iterative naming tweaks to reduce buyer hesitation.
Elevating brand perception and protecting perceived value
Keeping “Premium” reinforces that the bulk of the Model Y lineup (especially the popular Long Range models) remains a premium product with desirable features like better noise insulation, upgraded interiors, and tech.
Eliminating “Standard” prevents any dilution of the Tesla brand’s upscale image—particularly important in a competitive EV market—while the entry-level variants can quietly exist as accessible “RWD/AWD” options without drawing attention to them being decontented versions.
You can check out the differences between the “Standard” and “Premium” Model Y vehicles below:
@teslarati There are some BIG differences between the Tesla Model Y Standard and Tesla Model Y Premium #tesla #teslamodely ♬ Sia – Xeptemper
Elon Musk
Tesla bull sees odds rising of Tesla merger after Musk confirms SpaceX-xAI deal
Dan Ives of Wedbush Securities wrote on Tuesday that there is a growing chance Tesla could be merged in some form with SpaceX and xAI over the next 12 to 18 months.
A prominent Tesla (NASDAQ:TSLA) bull has stated that the odds are rising that Tesla could eventually merge with SpaceX and xAI, following Elon Musk’s confirmation that the private space company has combined with his artificial intelligence startup.
Dan Ives of Wedbush Securities wrote on Tuesday that there is a growing chance Tesla could be merged in some form with SpaceX and xAI over the next 12 to 18 months.
“In our view there is a growing chance that Tesla will eventually be merged in some form into SpaceX/xAI over time. The view is this growing AI ecosystem will focus on Space and Earth together…..and Musk will look to combine forces,” Ives wrote in a post on X.
Ives’ comments followed confirmation from Elon Musk late Monday that SpaceX has merged with xAI. Musk stated that the merger creates a vertically integrated platform that combines AI, rockets, satellite internet, communications, and real-time data.
In a post on SpaceX’s official website, Elon Musk added that the combined company is aimed at enabling space-based AI compute, stating that within two to three years, space could become the lowest-cost environment for generating AI processing power. The transaction reportedly values the combined SpaceX-xAI entity at roughly $1.25 trillion.
Tesla, for its part, has already increased its exposure to xAI, announcing a $2 billion investment in the startup last week in its Q4 and FY 2025 update letter.
While merger speculation has intensified, notable complications could emerge if SpaceX/xAI does merge with Tesla, as noted in a report from Investors Business Daily.
SpaceX holds major U.S. government contracts, including with the Department of Defense and NASA, and xAI’s Grok is being used by the U.S. Department of War. Tesla, for its part, maintains extensive operations in China through Gigafactory Shanghai and its Megapack facility.
Tesla’s Apple CarPlay ambitions are not dead, they’re still in the works
Tesla brings closure to Model Y moniker with launch of new trim level
