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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.
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Tesla is shipping a new feature that silences neighborhood Supercharger complaints, prompting drivers to be aware of those who might be impacted by excessive noise nearby.
Tesla is now rolling out a new location-specific “Quiet Charging Zone” that prompts drivers to lower their vehicle’s audio volume in an effort to make things comfortable for everyone, even those who are not Tesla owners.
Another beautiful example of Tesla’s vertical integration.
Neighbors were complaining about noise and commotion at this new Supercharger in San Francisco.
So Tesla pushed a software update that asks people to turn their volume down, with a button to do it in 1 tap. Smart. pic.twitter.com/8esuliuzwr
— Whole Mars Catalog (@wholemars) May 20, 2026
This is an impactful feature that will resolve many complaints from those who are living nearby.
When a Tesla plugs into this Supercharger and its media volume exceeds a certain level, the vehicle’s central touchscreen displays a polite notification: “Could you turn the volume down? Please be mindful of our neighbors.”
Accompanying the message is a prominent “Lower” button. One tap automatically reduces the audio to a more considerate level. Physical “Quiet Charging Zone” signs posted at the station reinforce the request, creating a cohesive experience that blends digital nudges with on-site reminders.
This feature highlights Tesla’s unique advantages. Unlike traditional automakers, Tesla owns both the vehicle software and the charging infrastructure.
Engineers can detect the precise location via GPS, trigger context-aware prompts, and deploy changes fleet-wide in hours or days without recalls or dealer visits. No public release notes highlighted the change, suggesting it was a quiet, site-specific rollout designed to test effectiveness before potential expansion.
These are usually referred to as “Undocumented Changes.”
Beyond immediate noise reduction, the initiative underscores Tesla’s customer- and community-focused ethos. While EVs are inherently quieter than combustion-engine vehicles, auxiliary behaviors like loud infotainment can still create friction in dense cities. Tesla’s rapid response turns potential conflict into an opportunity to demonstrate thoughtful engineering.
As Tesla expands its Supercharger network, which is now open to other EVs in many places, features like location-based quiet modes could become standard tools for harmonious integration into neighborhoods.
Ferrari unveiled its Luce EV over the weekend, and so far, its reception has been an absolute disaster, gathering negative reactions from a wide variety of people, including former executives.
The stock even took a hit on its first day of trading following the unveiling, dropping over 7 percent at one point.
Ferrari moving to EVs from its traditional V12s and mid-engine sports cars is a massive move. It was designed by Sir Jony Ive and Marc Newsom’s LoveFrom studio, which is known for design work for tech giant Apple. “Luce” means “light” in Italian, so Ferrari drew inspiration for its name from its sleek design, characterized by a smooth, sculpted body with rounded edges.
But its reception has been far from what Ferrari expected. The overall design has drawn some harsh criticism since its reveal, and it is simply stunning that such a storied company, with a rich history of beautiful, powerful cars has revealed a design that many are not a fan of.
Ferrari unveiled its all-electric Luce over the weekend, and it has truly gotten some attention…not for the right reasons.
From an Italian legend that has built some beautiful cars in its history, this almost feels like a ploy to inevitably cancel its electric program. pic.twitter.com/rczSSb3pJx
— TESLARATI (@Teslarati) May 26, 2026
Responses to the design were widely negative, with some saying, “Enzo is rolling in his grave,” and “This looks like a Nissan LEAF with a bad body kit.”
Former Ferrari Chairman Luca di Montezemolo said:
“If I said what I really think, I’d harm Ferrari. We’re risking the destruction of a myth, I’m very sorry about that. I hope they at least remove the Prancing Horse from that car.”
🚨 Luca di Montezemolo former Ferrari chairman reacts to the new electric Ferrari Luce:
“I’ve seen the project has already been delayed more than two years. I don’t like commenting from the stands—when I was in the game, it annoyed me when people did that. I think for now the… https://t.co/TzIDxFzHso
— TESLARATI (@Teslarati) May 26, 2026
Ferrari has scaled back EV commitments in the past, primarily in response to weaker-than-expected demand for its electric powertrains.
Priced at roughly $640,000 in the U.S., it is tough to see how this car will ever truly live up to the massive expectations many had for it. It almost feels like, to a certain extent, Ferrari is looking for a way to get out of building EVs.
Tesla unveiled a juicy new detail on the Roadster, its long-delayed supercar project, and additionally hinted at a new unveiling timeline, as it appears yet another month will pass without seeing the capabilities of the vehicle.
Vice President of Vehicle Engineering at Tesla, Lars Moravy, revealed on the Ride the Lightning podcast that the Roadster will be built at Gigafactory Texas, adding that “you’ll start to see a lot of things unfold in the next months.”
While we get a good detail on the plant of manufacture, we also get another letdown, as it appears the unveiling event will not take place in May, as CEO Elon Musk hinted during the Earnings Call.
Franz von Holzhausen revealed in the Ride the Lightning podcast that the Tesla Roadster will be built at Gigafactory Texas https://t.co/t9Bu9k824Q pic.twitter.com/TT01IWJaFD
— TESLARATI (@Teslarati) May 24, 2026
The Roadster was first unveiled back in 2017, alongside the Semi, which entered production earlier this year. It was Tesla’s attempt at a true supercar; it would be rare, expensive, and lightning quick, among other incredible capabilities, like potentially hovering for a short period thanks to a collaboration project with SpaceX.
However, the vehicle was set to be delivered in 2020. Parts and supply chain issues due to the COVID-19 pandemic started these delays, and since then, Tesla, and specifically Musk, have wanted to push the capabilities of the Roadster to somewhere the human mind may not be able to currently comprehend.
Both Chief Designer Franz von Holzhausen and Moravy have said many things about the Roadster over the past few years, hinting that the car truly could be worth the wait. However, the continuous delays we’ve seen have undoubtedly been discouraging.
With that being said, it’s not like Tesla has been doing nothing. Instead, the company has been focusing on revamping current models, phasing out others, and working on developing the cars of the future, specifically, the Cybercab, which entered production at Giga Texas in April.
Despite the Roadster’s delays, there is still a ton of anticipation for the vehicle to be released. It will have a steering wheel, as Musk said it will be “the best of the last of the human-driven cars.”
Tesla ships new feature that silences neighborhood Supercharger complaints
Ferrari unveils its Luce EV, and its reception has been a disaster
