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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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Elon Musk

Elon Musk’s Boring Company lands a new Middle East deal, and Nashville is about to get faster

The Boring Company signs Abu Dhabi tunnel agreement while adding more Prufrock machines in Nashville.

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The Boring Company has signed an agreement with Abu Dhabi to study underground transport and utility tunnels across the emirate, adding a second UAE city to its pipeline as it prepares to also scale up tunneling back home in Nashville.

The deal was signed Thursday at the Liveability and Investment Exhibition (LIVEX 2026) by Boring Company President Steve Davis and Maysarah Mahmoud Salim Eid, director general of the Abu Dhabi Projects and Infrastructure Centre (ADPIC), according to the Abu Dhabi Media Office. Mohamed Ali Al Shorafa, chairman of the emirate’s Department of Municipalities and Transport, attended the signing.

Under the agreement, the two sides will assess feasibility, delivery and operating models for tunnels that could carry passengers or utilities. They will also look at Abu Dhabi’s potential as a regional hub for tunneling work. The current phase is exploratory, and no construction commitment or project budget has been announced.

“Abu Dhabi provides an ideal environment to explore the next generation of underground infrastructure solutions, supported by its ambitious growth vision and strong commitment to advanced technologies,”

Davis said. He added that the company wants to assess how tunnels can “expand urban capacity more efficiently, and enable better use of available space.”

The timing lines up with the money, considering last month, The Boring Company closed a $3 billion Series D led by the UAE and affiliated investors, valuing the company at $23 billion, as Teslarati reported. That round came with a commitment to build more than 150 kilometers of tunnel across the UAE, separate from the Dubai Loop pilot already under contract with Dubai’s Roads and Transport Authority. That pilot covers 6.4 kilometers and four stations linking DIFC and Dubai Mall at a cost of about $154 million.

Back home, The Boring Company projects in Nashville are also scaling up, with the company telling local NewsChannel 5 that a third Prufrock machine could start digging the Music City Loop in late October. A fourth is also targeted before the end of the year. Two machines are already mining Nashville limestone at the same time, and work is underway on a new launch site for the third.

The company said it has made more than 300 design and performance upgrades to its original Nashville machine. It is also working with property owners on more than 40 planned stations, with approvals in place for a future Nashville International Airport connection, a downtown station near the Music City Center, and stops at residential towers and the JW Marriott.

Construction on the Music City Loop began the same evening Tennessee and federal regulators approved the project’s lease in February, and the company targeted its first operational segment for late 2026. Back in Las Vegas, The Boring Company has said it plans to double its Vegas Loop station count by year’s end.

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SpaceX brings four astronauts home after 8 months in space, and the return was flawless

SpaceX Crew Dragon Freedom returned four Crew-12 astronauts home after 237 days aboard the station.

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SpaceX's Crew Dragon Freedom sits aboard the recovery ship Shannon after splashing down off the coast of Los Angeles with the Crew-12 astronauts on October 8, 2026. (Credit: SpaceX)
SpaceX's Crew Dragon Freedom sits aboard the recovery ship Shannon after splashing down off the coast of Los Angeles with the Crew-12 astronauts on October 8, 2026. (Credit: SpaceX)

Four Crew-12 members are back on Earth after 237 days at the International Space Station. SpaceX’s Crew Dragon Freedom splashed down in the Pacific Ocean about 50 miles west of Los Angeles at 11:34 a.m. ET on Thursday.

NASA astronauts Jessica Meir and Jack Hathaway, ESA astronaut Sophie Adenot, and Roscosmos cosmonaut Andrey Fedyaev landed one day after undocking from the station’s Harmony module at 8:05 a.m. ET on Wednesday. NASA confirmed the splashdown minutes later. SpaceX had flagged the 27.5 hour trip home on X while Dragon was still firing its departure burns away from the station.

The descent ran on schedule when Freedom started a nine minute deorbit burn at 10:46 a.m. ET, then hit the thicker atmosphere about 36 minutes later at nearly five miles per second. Chutes deployed at around 18,000 feet, and four main parachutes brought the capsule down to roughly 15 mph at splashdown.

SpaceX fast boats secured Dragon before the recovery ship Shannon hoisted it onto the deck with the crew still inside. Flight surgeons on board ran initial medical checks. All four crew members will be flown ashore by helicopter and then head to NASA’s Johnson Space Center in Houston for rehabilitation.

Crew-12 launched on February 13 from Space Launch Complex 40 at Cape Canaveral, a flight that also marked the first Falcon 9 booster landing at SpaceX’s new LZ-40 pad. Over the mission, the crew completed 3,792 orbits, covered nearly 101 million miles, and carried out four spacewalks to maintain and upgrade the station.

Meir now has 440 cumulative days in space, which places her in NASA’s top 10. This was the first spaceflight for Hathaway and for Adenot, a French Air Force colonel and former helicopter pilot. Fedyaev, who spent 186 days in orbit on Crew-6 in 2023, has now flown two long duration Dragon missions.

The return closes out a busy stretch of Dragon traffic. Crew-13 arrived on October 1 aboard Crew Dragon Grace, which docked just 7 hours and 55 minutes after liftoff, the fastest launch to docking of any U.S. spacecraft in ISS history. Commander Jessica Watkins, pilot Luke Delaney, Canadian Space Agency astronaut Joshua Kutryk, and cosmonaut Sergey Teteryatnikov remain aboard alongside the three person Soyuz MS-29 crew.

With Crew-12 gone, the port is clear for CRS-35, a cargo Dragon carrying the final pair of ISS Roll-Out Solar Arrays. NASA is holding a post-splashdown teleconference at 1:15 p.m. ET covering both the crew’s return and the upcoming cargo launch.

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Elon Musk

Elon Musk shuts down talk of TSMC taking over Terafab

Musk says Tesla and SpaceX will build and run Terafab, with TSMC limited to renting.

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SpaceX Terafab rendering

Elon Musk has drawn a firm line around who will be in charge of Terafab, the giant chip factory Tesla and SpaceX are planning in Texas.

Musk replied to a post on X arguing that Taiwan Semiconductor Manufacturing Company (TSMC) would most likely end up owning and operating the plant. “No, we will build and run the fab. Let there be ZERO doubt about that,” Musk wrote. “Maybe TSMC subleases part of the Terafab if they want, but nothing more than that.”

In plain terms, a sublease means TSMC could rent a section of the complex to make chips, similar to a tenant renting one floor of an office tower. The building, the equipment decisions and the daily operation would stay with Tesla and SpaceX.

The comment shuts down speculation that started last week. On October 2, tech journalist Tim Culpan reported that TSMC was exploring ways to help run Terafab’s factories. Musk responded the next day that it was “just discussions, but something may come of it,” as Teslarati reported at the time. That left room for a scenario where the world’s largest contract chipmaker took the wheel. Musk’s latest post closes that door.

Elon Musk teases TSMC as potential Terafab partner

Some background helps explain why this matters. Tesla designs its own AI chips today but pays outside companies like TSMC and Samsung to manufacture them. Musk unveiled Terafab in March as a joint project between Tesla, SpaceX and xAI, arguing that existing suppliers cannot expand fast enough to meet his companies’ future demand. The goal is to produce enough chips each year to supply one terawatt of computing power, roughly 50 times what the entire global AI chip industry produces now.

Those chips are meant for Tesla’s Optimus humanoid robots, the Cybercab and Full Self-Driving computers, along with chips for SpaceX’s planned data centers in orbit. Owning the factory means Musk’s companies would not have to compete with every other chip customer for time on someone else’s production lines.

Intel is still part of the picture. The company signed on in April to help design, build and package chips for the project, and CEO Lip-Bu Tan told Bloomberg this week that Intel will keep working on Terafab despite the TSMC chatter.

The project moved from concept to construction planning over the summer. In August, SpaceX confirmed the Grimes County site about an hour from Houston, sent the county a $10 million payment under its tax abatement deal and said civil work would begin shortly. The first phase carries a $16.8 billion price tag, and total spending across all phases could reach as much as $119 billion.

TSMC chairman C.C. Wei has said a new fab typically takes two to three years to build and another one to two years to reach full output. Tesla and SpaceX have never run one, which is why TSMC’s expertise drew so much attention. Musk’s answer suggests he would rather learn that process in house than hand control of a project this central to Tesla’s robotics and autonomy plans to an outside company.

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