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

(Credit: Tesla)

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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.

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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Investor's Corner

SpaceX’s biggest earnings test yet lands Tuesday, and Tesla shareholders should be watching

SpaceX reports earnings Tuesday as Wall Street watches AI spending, Starlink growth and Tesla merger

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SpaceX reports third quarter results after the market closes Tuesday, with a webcast at 4:30 p.m. ET streamed on X, and Tesla follows a day later. Bloomberg consensus, cited by Pepperstone, calls for revenue of $12.89 billion, adjusted EBITDA of $6.62 billion and adjusted EPS near $0.15. That would be about 65% growth from the second quarter and SpaceX’s first profitable quarter since its IPO. Analysts expect roughly $6.4 billion from AI and $4.9 billion from Starlink, which is projected to reach 14.3 million consumer subscribers. Capital spending is forecast at $19.6 billion, leaving free cash flow near negative $11.6 billion.

The numbers matter because SpaceX has spent months trying to win over a skeptical market. It priced its record IPO at $135, spiked to $225.64, then sank near $105 in early August. Friday’s close of $146.03 sits about 28% below the June high. The Q2 report beat on revenue at $7.8 billion and put Starlink at 12 million subscribers, but $18.4 billion of capex hurt the stock. Since then SpaceX reached orbit on Starship Flight 14 with 26 Starlink V3 satellites, agreed to buy 800 MHz spectrum for about $8 billion as part of its Starlink Mobile push, and signed a fourth compute hosting deal in four months worth roughly $13 billion a year from December. Management is targeting more than 2 gigawatts of compute by year end and a $100 billion annualized revenue run rate. Evercore ISI, which raised its target to $275, said the quarter may be judged more on those targets than the reported figures

All of this sits under the Tesla merger question. Barclays analyst Dan Levy expects an all stock deal in which SpaceX buys Tesla at a premium, using reference values of $2.1 trillion and $1.5 trillion, and said an announcement would need to come by late October or early November to be voted on at Tesla’s December 6 annual meeting. Barclays estimates Musk would hold about 37% of the combined company and 56% of the votes. Musk said in July that combining companies cannot be discussed on an earnings call, but an investor question asking when SpaceX will merge with Tesla is sitting on SpaceX’s Q&A platform, and Teslarati has tracked how the Roadster demo revived the talk.

If a deal happens, Tuesday’s result would effectively set the price Tesla holders would receive. Their shares would convert into SpaceX stock, along with exposure to a company with a heavy investment on AI, while Tesla itself expects 2026 capex above $25 billion. A strong quarter and calmer spending would make that exchange easier to sell. Another round of heavy capex and a falling stock would make it harder.

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SpaceX’s Gwynne Shotwell just made a quiet gesture toward Tesla

SpaceX president Gwynne Shotwell quietly followed Tesla on X, and merger watchers noticed right away.

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SpaceX President and COO Gwynne Shotwell has started following Tesla’s official account on X, a small change that landed in the middle of a very loud merger conversation. Whole Mars Catalog joked about it on Sunday.

A follow is not an announcement, and neither company has said anything about a deal. What gives the moment weight is the timing. Barclays analyst Dan Levy has told clients that an agreement could come before Tesla’s annual meeting, which must be held by December 6, with SpaceX as the buyer in an all stock deal, as we reported after the Roadster unveiling. Wedbush’s Dan Ives has stuck with a 2027 timeline.

Shotwell is the executive most worth watching if the two companies do move closer. When Musk was asked at the All In Summit why Tesla and SpaceX remain separate, Shotwell sat next to him and said SpaceX personnel had already moved into xAI to fill leadership and engineering gaps. The businesses were integrating “faster than I thought,” she said, though “not fully integrated yet.” Her responsibilities have also grown since SpaceX absorbed xAI, and she now oversees operations that include Grok and the company’s AI compute buildout.

The financial links are already there. Tesla’s $2 billion xAI investment turned into a stake of less than one percent in SpaceX, the two share the Terafab chip project in Austin, and Musk exercised his 2018 Tesla options a week after SpaceX began trading, a sequence analysts flagged as giving SpaceX public shares to use in a deal. Musk holds about 20 percent of Tesla and controls 85.1 percent of SpaceX’s voting power, according to our earlier breakdown.

The next test is close at hand. SpaceX reports its second earnings as a public company on Tuesday after the close, and Tesla follows on Wednesday. Musk told analysts in July that “we can’t talk about combining companies and that kind of thing on an earnings call,” so a direct answer is unlikely from either stage. Tesla shareholders can still submit and vote on questions through the Say portal until 4 p.m. EDT on Monday, and the merger is a recurring theme in the queue.

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Elon Musk

Tesla Roadster owners to get “Flying Stunt Mode” and looping track access

Musk says Roadster owners can command the unveiling stunts autonomously, with a Texas looping track.

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Elon Musk says owners of the new Tesla Roadster will be able to ask the car to perform the stunts Tesla showed at its unveiling, with the car doing the driving itself. Musk made the comment Saturday in a reply on X to tech blogger Robert Scoble, and he added a promise of a looping track at Tesla’s Texas headquarters.

Scoble had argued that the person in the Roadster is not really driving it. In his description, the driver operates a computer that tells another computer what to do, with steering, braking and acceleration all handled by wire. Musk answered, “True. You will be able to ask the Roadster to perform any of the tricks shown autonomously, as it will be sentient. Also, we will have a wild looping track (crazier even than Hot Wheels) at our Texas HQ where you can test out your Roadster.”

At the October 15 event outside Waco, the car drove up a curved ramp until it was upside down, flew off on cold gas thrusters, flipped and landed. It also hovered over a Cybercab, Cybertruck, Semi, Model Y and Model 3 while moving. As we noted in our breakdown of the three Roadster configurations, Musk said at the event that the car “literally is just going to puff itself up” to perform the maneuvers whenever an owner wants. Saturday’s reply adds that the car would run them on its own.

Tesla has described some of the hardware that would make that possible. The Roadster uses steer by wire with a yoke, and its cold gas thrusters rely on electric actuators for small adjustments in flight. A fan system under the car creates suction, which Tesla says is strong enough to hold it upside down, a setup we covered in our look at the Roadster’s fan system and thrusters.

Musk did not say when an autonomous stunt feature might arrive, how it would work, or what he means by sentient. He also gave no size, location or opening date for the Texas track. Production is planned for Giga Texas in 2027 or 2028, and Tesla says the car is not approved for public road use. The Rocket version, the one built to fly, is invite only.

The comment follows a week of Musk teasing the event, including his claim that the demo would be a banger, which we covered before the stream. Tesla reports third quarter earnings on October 21, and shareholders can submit and vote on questions through the Say portal until 4 p.m. EDT on October 20, according to our earnings Q&A preview. A question about autonomous Roadster stunts and the Texas track would be a quick way to get specifics from management.

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