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Tesla FSD Beta 10.69 release notes highlight better left turns, smoother driving

(Credit: Tesla)

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3 years ago

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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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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla adjusts Online Design Studio for easier trade-in process

Tesla has a great trade-in program that allows you to give the company your vehicle in exchange for cash, even if it’s not an EV. Their trades are mostly fair, but the company seems to undervalue its own vehicles, and there have been plenty of complaints over offers in the past.

Published

15 hours ago

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November 8, 2025

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(Credit: Tesla Asia | X)

Tesla has adjusted its Online Design Studio to make for an easier trade-in process, reflecting the details of the exchange for a more accurate reflection of payment terms.

Tesla has a great trade-in program that allows you to give the company your vehicle in exchange for cash, even if it’s not an EV. Their trades are mostly fair, but the company seems to undervalue its own vehicles, and there have been plenty of complaints over offers in the past.

Trade-ins are usually given by submitting vehicle details, then Tesla sends an email with an offer. Offers are non-negotiable, but do adjust over time, although the latest offer is valid for 30 days.

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

Knowing your new Tesla’s cash price, leasing or loan details, and monthly payment information used to be done by the car buyer. From personal experience, I simply subtracted my trade-in from the cash price of the Tesla Model Y, and I plugged those numbers into the payment calculator.

Now, Tesla is implementing the trade-in process directly into the Design Studio. It will adjust the price of the car and the different monthly payment methods automatically:

The change is already noticed in a handful of states, including California, but it has not rolled out across the board quite yet. It will be implemented in all of the U.S., as well as Canada, this coming week.

The trade-in process is very simple, and after you accept your offer, you simply drop your vehicle off during the delivery process. Making this simple change will be greatly appreciated by owners.

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Tesla confirms Robotaxi is heading to five new cities in the U.S.

After launching in Austin, Texas, in late June and the Bay Area of California just a few weeks later, Tesla has been attempting to expand its Robotaxi suite to new states and cities in the U.S., and even outside of the country.

Published

21 hours ago

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November 8, 2025

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Credit: Tesla

Tesla Robotaxi will hit five new cities in the United States in the coming months, the company confirmed.

After launching in Austin, Texas, in late June and the Bay Area of California just a few weeks later, Tesla has been attempting to expand its Robotaxi suite to new states and cities in the U.S., and even outside of the country.

The Robotaxi suite is a ride-hailing service Tesla offers, but the details of it change with each jurisdiction, as regulations vary. For example, in Austin, Tesla can operate the Robotaxi suite without anyone in the driver’s seat, as long as the vehicle does not enter a freeway.

Credit: Tesla

In the Bay Area, a Safety Monitor rides in the driver’s seat, essentially acting as the vehicle operator with Full Self-Driving controlling the car.

The local regulations and how Tesla handles them will continue to be a relevant part of the discussion, especially as the company aims to expand the Robotaxi program to different areas. This has been a primary focus of the company for several months, especially within the United States.

CEO Elon Musk said that Tesla was aiming to launch Robotaxi in Nevada, Arizona, and Florida. However, the company detailed five specific cities where it will launch Robotaxi next during the Annual Shareholder Meeting on Thursday.

Tesla will launch Robotaxi in Las Vegas, Phoenix, Dallas, Houston, and Miami next, broadening its Service Area for the suite to more major cities across the U.S.

It has said it plans to offer the service to half of the U.S. population by the end of the year, but it does not seem as if it will expand to more than a handful of cities this year, which is still tremendous progress, all things considered.

As far as autonomy is concerned, Tesla has always had lofty expectations and has made some even loftier statements.

At the Shareholder Meeting, Musk said that the company would likely be able to enable vehicle owners to text while the vehicle drives, alleviating them from potentially having some of the responsibility they have behind the wheel.

Tesla says texting and driving capability is coming ‘in a month or two’

It is not confirmed that Tesla will roll this out in the next few months, but Musk said there is a possibility.

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Tesla launches another new Model Y trim at a bargain price with massive range

It is the second most-affordable Model Y trim level in China, trailing the base Rear-Wheel-Drive and coming in under the All-Wheel-Drive.

Published

23 hours ago

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November 8, 2025

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Credit: Tesla

Tesla has launched yet another new Model Y trim level, but this time it is in China, and it is at a bargain price.

It also has an insane range rating.

On Friday, Tesla launched the new Model Y Long Range Rear-Wheel-Drive in China, priced at 288,500 yuan ($40,500), an incredible deal considering it is not a stripped-down version of the vehicle like the Model Y Standard.

It is the second most-affordable Model Y trim level in China, trailing the base Rear-Wheel-Drive and coming in under the All-Wheel-Drive.

The big appeal with this new Model Y trim is obviously its price, but its range rating is also one of the best we’ve seen. Rated at 821 kilometers on the CLTC scale, it converts to 510 miles. It uses a 78.4 kWh CATL battery.

Converted to real-world range, however, that 821-kilometer range rated by the CLTC actually is equivalent to about 357 miles on the EPA scale, which is still a very respectable number and comes in at a higher range than the Long Range All-Wheel-Drive configuration that is available in the U.S.

Tesla has truly brought a wide variety of Model Y trims to the Chinese market, including a new Model Y L configuration that features a slightly longer wheelbase, as well as additional interior features like extended thigh legrests and captain’s chairs with armrests.

It is unclear whether Tesla will bring a Premium Rear-Wheel-Drive option of the Model Y to the U.S., especially as it has already rolled out four configurations of the all-electric crossover in the market. With the new Standard offerings, Tesla will likely keep its lineup as simple as possible.

However, the company has hinted that there is a slim possibility the Model Y L could come to the U.S. sometime late next year, but CEO Elon Musk said that it is not a guarantee.

Tesla is more concerned with self-driving efforts in the U.S., and despite calls from customers for larger vehicles, it does not seem concerned with making them available, at least not for now.

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