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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.
News
Tesla loses Director who designed one of the company’s best features
Thomas Dmytryk, who has spent over 11 years with Tesla and helped to develop Over-the-Air updates and the company’s vehicles’ ability to utilize them to improve, has decided to leave.
Tesla has lost the director who designed one of the company’s best features: Over-the-Air updates.
Thomas Dmytryk, who has spent over 11 years with Tesla and helped to develop Over-the-Air updates and the company’s vehicles’ ability to utilize them to improve, has decided to leave. In a lengthy statement on LinkedIn, Dmytryk said that he’s “closing the book.” He had nothing but good things to say:
“After 11 incredible years at Tesla, I’m closing the book. It’s been the ride of a lifetime: always on the news, innovating relentlessly, constantly pushing the limits. Tesla is THE place for talented, passionate people. I feel insanely lucky to have been part in that culture for so long.”
It appears the intense lifestyle of developing and creating intensively for so long might have caught up to Dmytryk, who did not give his definitive plans for the future, and it appears he may be taking some time off before jumping into a new venture:
“The future? Extremely bright. Ambitions intact, just getting started as a transformative company that could elevate billions of lives. So why leave now?! Human life’s always been my North Star, right now I need to be with mines. I’ve always admired Tesla’s top leadership and vision. But what I’ve always found incredible is the tenacity, brilliance and devotion of people on the front line. YOU make Tesla unstoppable. I wish you all the best and of course EPIC wins.”
The move was first reported by NotaTeslaApp.
Over-the-Air updates are among Tesla’s best features. They are used to improve the Full Self-Driving suite, add features, remedy recalls, and more. Many vehicles have the ability to receive OTA updates, as I did in a Ford Bronco previous to my Model Y. However, Tesla does them better than anyone else: they’re seamless, effective, and frequent. Your car always improves.
The move is a blow to Tesla, of course, considering Dmytryk’s massive contribution to the company and extremely long tenure spent, but not something that is overwhelmingly detrimental. Tesla deals with a lot of extremely intelligent people, some of whom are the best in their field, so they are sure to find a suitable replacement.
However, it’s no secret that the company has been losing some of its top talent, some of whom were in executive roles. Some have left to take on new projects, and others have not revealed their career plans.
It seems at least some of those employees are simply deciding to walk away and try new things after working so hard for so long. According to Dmytryk’s LinkedIn, he also played a large part in Musk’s acquisition of X, as he stated he “worked at Twitter/X ~45/week while working at the same pace for Tesla.”
That averages a 13-hour day, seven days a week, or 18 hours for the normal five-day work week.
News
Tesla’s most wanted Model Y heads to new region with no sign of U.S. entry
Unlike the standard Model Y, the “L” stretches the wheelbase by roughly 150 mm and the overall length by about 177 mm to 4,976 mm. The result is a genuine 2-2-2 seating layout that gives six adults proper legroom and cargo space — a true family hauler without the cramped third-row compromises of many three-row SUVs.
Tesla’s most wanted Model Y configuration is heading to a new region, and although U.S. fans and owners have requested the vehicle since its release last year, it appears the company has no plans to bring it to the market.
According to fresh regulatory filings, the six-seat Model Y L is coming to South Korea with signs indicating an imminent launch. The extended-wheelbase configuration, already a hit in China, just cleared energy-efficiency certification from the Korea Energy Agency, paving the way for deliveries as early as the first half of 2026.
The vehicle is already built at Tesla’s Giga Shanghai facility in China, making it an ideal candidate for the Asian market, as well as the European one, as the factory has been known as a bit of an export hub in the past.
$TSLA
BREAKING: The official launch of Tesla Model Y L in S.Korea seems to be quite imminent.Additional credentials related to Model YL were released today.
✅ Battery Manufacturer: LG Energy Solutions
✅ Number of passengers: 6 people
✅ Total battery capacity: 97.25 kWh… pic.twitter.com/hmy64XYi80— Tsla Chan (@Tslachan) March 6, 2026
It seems like Tesla was prepping for this release anyway, as the timing was no accident. A camouflaged Model Y L prototype was spotted testing on Korean highways the same day the certification dropped. Tesla has already secured similar approvals for Australia and New Zealand, with both markets expecting the larger Model Y in 2026.
Unlike the standard Model Y, the “L” stretches the wheelbase by roughly 150 mm and the overall length by about 177 mm to 4,976 mm. The result is a genuine 2-2-2 seating layout that gives six adults proper legroom and cargo space — a true family hauler without the cramped third-row compromises of many three-row SUVs.
South Korean filings list it as an all-wheel-drive imported electric passenger vehicle with a 97.25 kWh total battery capacity supplied by LG Energy Solution. Local tests show an impressive 543 km (337 miles) combined range at room temperature and 454 km (282 miles) in colder conditions, easing one of the biggest concerns for Korean EV buyers.
Tesla Model Y lineup expansion signals an uncomfortable reality for consumers
But for U.S. fans, things are not looking good for a launch in the market.
CEO Elon Musk has been blunt. The six-seater “wouldn’t arrive in the U.S. until late 2026, if ever,” he said, pointing to the company’s heavy bet on unsupervised Full Self-Driving and robotaxi platforms like the Cybercab. With the Model X slated for discontinuation, many families hoped the stretched Model Y would slide into the lineup as an affordable three-row bridge. So far, that hope remains unfulfilled.
For now, South Korean drivers will be among the first buyers outside China to enjoy the spacious, efficient Model Y L. Tesla continues its global rollout strategy, tailoring vehicles to regional tastes while North American customers keep refreshing their apps and crossing their fingers.
The Model Y L proves the appetite for practical, family-sized electric SUVs is stronger than ever. Hopefully, Tesla will listen to its fans and bring the vehicle to the U.S. where it would likely sell well.
Elon Musk
Tesla is ramping up its advertising strategy on social media
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
Tesla seems to be ramping up its advertising strategy on social media once again. Marketing and advertising have not been a major focus of Tesla’s, something that has brought some criticism to the company from its fans.
However, the company looks to be making adjustments to that narrative, as it has at times in the past, as ads were spotted on several different platforms over the past few days.
On Facebook and YouTube, ads were spotted that were evidently placed by Tesla. On Facebook, Tesla was advertising Full Self-Driving, and on YouTube, an ad for its Energy Division was spotted:
Tesla also threw up some ads on YouTube for Energy https://t.co/19DGQMjBsA pic.twitter.com/XQRfgaDKxY
— TESLARATI (@Teslarati) March 9, 2026
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
In 2022, Tesla’s U.S. ad spend was roughly $152,000, a rounding error compared to General Motors’ $3.6 billion the following year.
Traditional automakers averaged about $495 per vehicle on ads; Tesla spent $0. CEOElon Musk’s stance was explicit: “Tesla does not advertise or pay for endorsements,” he posted on X in 2019. “Instead, we use that money to make the product great.”
The strategy relied on word-of-mouth from delighted owners, Elon’s massive X following, viral product launches, media frenzy, and customer referrals. A great product, Musk argued, sells itself. It does not need Super Bowl spots or billboards. Resources poured into R&D instead, with Tesla investing nearly $3,000 per car, far more than rivals.
Tesla counters jab at lack of advertising with perfect response
This reluctance wasn’t arrogance; it was philosophy, and Musk made it clear that the money was better spent on the product. Heavy spending on ads was seen as wasteful when innovation and authenticity drove organic demand. Shareholder calls for marketing budgets were ignored.
The current shift, paid Facebook ads promoting Full Self-Driving (Supervised) and YouTube Shorts offering up to $1,000 back on Powerwall batteries, marks a pragmatic evolution.
These targeted campaigns coincide with the end of one-time FSD purchases and a March 31 deadline for FSD transfer eligibility on new vehicles.
This move likely signals Tesla adapting to scale, as well as a more concerted effort to stop misinformation regarding its platform. As EV competition intensifies and the company bets big on robotaxis and energy storage, pure organic buzz may not suffice to hit adoption targets. Selective digital ads allow precise, cost-effective reach without abandoning core principles.
If successful, it could foreshadow measured expansion into marketing, boosting high-margin software and home energy revenue while preserving Tesla’s innovative edge. But, it’s nice to see the strategy return, especially as Tesla has been reluctant to change its mind in the past.
Tesla loses Director who designed one of the company’s best features
Tesla’s most wanted Model Y heads to new region with no sign of U.S. entry
