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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 creates clever solution to simplify and improve its Service

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

Published

8 hours ago

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August 7, 2025

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tesla service
Credit: Tesla

Tesla has created a clever solution to simplify and improve its Service. Tesla performs most of the services that are needed on its vehicles at its company-owned Service Centers.

However, service has been a weak point of the company, as some regions have fewer Service Centers than others. This can cause long wait times for Tesla owners in some parts of the country.

There are also instances where customers do not agree with what Tesla is saying about their vehicle. In fact, one instance that revealed this new change Tesla is making to its Service was precisely that.

One owner posted on X that his vehicle’s battery seal had failed after a recall was issued. Tesla insurance and Tesla Service both did not assist, and it took CEO Elon Musk stepping in to get the issue resolved:

Another owner suggested there should be a more streamlined communications process between the customer and the Service Center, a solution that has been missing.

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

Elon Musk wants Tesla Service to fix two-thirds of cars in the same day

Jegannathan said that Tesla has started to share local and regional leader contact information so customers have the ability to reach out when they have complaints or disagree with warranty claims, changes in estimates, or initial diagnostics.

It is available in a handful of locations already, and Jegannathan said that once abuse guardrails are built, this will expand to all locations:

This would be a major improvement in the Service portion of Tesla’s business. There are common disagreements between Service and customers, specifically when Service’s suggestions don’t align with the customer’s beliefs.

When it comes to things like a warranty claim, these issues are not really up for interpretation. Instead, the repairs should be made. If there is a misunderstanding on Service’s side, a simple message from the customer could have resolved the issue. That’s basically what happened here.

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Investor's Corner

Tesla gets its best analysis from Morgan Stanley as ‘it’s all about to change’

He maintained its ‘Overweight’ rating and the $410 price target Morgan Stanley had on the stock.

Published

9 hours ago

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August 7, 2025

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(Credit: Tesla)

Tesla has gotten perhaps its best analysis from Morgan Stanley in quite some time, as the Wall Street firm claims that “it’s all about to change.”

That phrase could be used for both the company’s status and the world in general.

Analyst Adam Jonas said in a new note on Thursday to investors that Tesla could be one of the major winners in terms of the global transition from what it is now to what it will be.

He describes the global shift that will occur over the next few years:

“Have you interacted with a robot today? Have you even seen a robot today? No? Well, take a mental picture because it’s all about to change. When we meet someone who has never been in a Waymo or a Tesla Cybercab (which is most people), we frequently see a wince and a response such as ‘I’m not sure I’d feel comfortable getting in a car without a driver.’ We imagine going back in time to 1903 and asking people if they’d feel comfortable in an airplane.'”

The same technological revolutions that have occurred over the past 150 years will continue to occur again and again. We are on the verge of another, Jonas believes, as companies like Tesla are working on artificial intelligence tech, which includes changing the way we look at things like transportation and labor.

Jonas includes an interesting tidbit in his note about how humanoid robots could change wages, and how it could work into the advantage of Tesla, especially as it is developing its own Optimus robot:

“We estimate 1 humanoid robot at $5/hour can do the work of 2 humans at $25/hour, generating an NPV of approximately $200k/humanoid. 1 robot shaped car can potentially drive down cost/mile of a ride share vehicle to <$0.20 mile (1/10th human-driven ride-share).”

Jonas sees Tesla as a key player in how AI will impact things like manufacturing and various automotive industries, and he believes there is long-term potential for AI, robomobility, and even autonomous eVTOL platforms.

Tesla stock: Morgan Stanley says eVTOL is calling Elon Musk for new chapter

He maintained its ‘Overweight’ rating and the $410 price target Morgan Stanley had on the stock.

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Elon Musk

Tesla expands Robotaxi program in Austin to new riders

Tesla has been expanding both the rider group and the geofence in Austin slowly, making sure to prioritize safety and avoid any major events with the early rollout.

Published

9 hours ago

on

August 7, 2025

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Credit: @TerrapinTerpene/X

Tesla is expanding its Robotaxi program in Austin, Texas, as several people have received invitations to participate and take rides.

Tesla first launched the Robotaxi platform on June 22. It invited a handful of people to participate in the first-ever public rides. We were lucky enough to get an invitation, and our permissions have been expanded in the Bay Area pilot program as well.

The group was small and consisted of big names in the Tesla community. It expanded and is continuing to offer these exclusive invitations to notable members of the Tesla community.

There have been fewer than five subsequent invitations after the first group’s were sent in late June:

Tesla has been expanding both the rider group and the geofence in Austin slowly, making sure to prioritize safety and avoid any major events with the early rollout.

Tesla’s new Robotaxi geofence shape is an FU by Elon Musk to the competition

“We are being very cautious. We do not want to take any chances, so we are going to go cautiously. But the service areas and the number of vehicles in operation will increase at a hyper-exponential rate,” CEO Elon Musk said during the Q2 Earnings Call.

Eventually, the Robotaxi platform will not require an invite, and it will operate without geofences. Musk believes Tesla can get there within three or six months, and plans to have at least half of the U.S. population with access to a Robotaxi by the end of the year:

“I think we will probably have autonomous ride-hailing in probably half the population of the U.S. by the end of the year. That’s at least our goal, subject to regulatory approvals. I think we will technically be able to do it. Assuming we have regulatory approvals, it’s probably addressing half the population of the U.S. by the end of the year.”

Tesla plans to have regulatory approval in Nevada, Arizona, and Florida sooner than in other states.

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