Connect with us
Tesla-fsd-10.3-release Tesla-fsd-10.3-release

News

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

(Credit: Tesla)

Published

on

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.

Advertisement
Comments

Energy

Tesla Semi factory is getting a celebration nobody expected

Tesla will inaugurate its Nevada Semi factory September 24, five months after production quietly began ramping.

Published

on

By

Tesla says it will officially inaugurate its new Semi factory in Nevada next month. The Tesla Semi account posted the announcement on X, sharing a graphic titled “Semi Rollout” with a date of September 24. No further details were given about the format of the event or who would attend.

While Tesla’s dedicated Semi plant in Sparks, adjacent to Gigafactory Nevada, opened back in April, with the first trucks rolling off the high volume line on April 29, the timing for the factory inauguration comes at a surprise. The ribbon cutting event five months into production is a break from how Tesla has usually handled its other factories, where the first truck or car off the line typically served as the milestone moment.

The 1.7 million square foot factory was built as part of a $3.6 billion expansion Tesla announced in early 2023, and it shares a site with the battery cell lines that feed the Semi’s structural pack, a decision meant to remove the supply bottleneck that delayed the truck for years. The plant is designed for 50,000 trucks a year at full ramp. Semi program director Dan Priestley has said production “is now ramping” rather than claiming it has reached scale.

Nine years passed between the Semi’s 2017 unveiling and this stage of production, with the truck slipping from an original 2019 target through hand built pilot units for PepsiCo and a slow build out of the Nevada plant. An inauguration event now gives Tesla a stage to talk up that ramp and reset expectations for how many trucks it can begin delivering at scale.

The September date also lines up with the Semi’s next milestone. Tesla confirmed the truck is heading to Europe with a full unveiling at the IAA Transportation trade show in Hannover, Germany, running September 15 through 20. Between the Nevada event and the Hannover reveal, Tesla has roughly a week and a half in September to make the case that the Semi is now a truck being built and sold on two continents rather than tested in a handful of fleets.

Continue Reading

Elon Musk

Elon Musk just set a condition that could end Falcon 9 as we know it

Elon Musk says SpaceX will finally retire Falcon 9 once Starship flies reliably every week.

Published

on

By

Elon Musk gave the clearest timeline yet for retiring Falcon 9, SpaceX’s workhorse rocket.

The comment came in a reply on X, where Musk wrote that “once Starship is flying reliably several times per week, it makes sense to shift super scarce SpaceX engineering and production resources to Starship to get launch rate to several times per day, which means winding down Falcon.” He was responding to physicist Casey Handmer, who noted that NASA is reportedly uneasy about SpaceX phasing out Falcon after building what Handmer called the most successful launcher ever, with the fleet nearing 1,000 total launches.


Falcon 9 is still SpaceX’s busiest vehicle by far. The company is on pace for roughly 140 to 145 Falcon flights this year, following 165 in 2025, president Gwynne Shotwell told Time earlier in 2026. She has already said Falcon flights would “tail off” as Starship comes online, while reports indicate that SpaceX has stopped booking new Falcon 9 launches past 2028 and halted production of some expendable Falcon hardware, according to Bloomberg.

It’s worth noting that Musk’s post is a condition, and not a countdown on when Falcon will retire. Starship has not yet flown weekly, let alone daily. Its most recent flight in July ended with a soft splashdown in the Indian Ocean, a milestone Musk pointed to earlier this month when he said the vehicle’s heat shield problem was effectively solved. SpaceX towed that ship to Christmas Island for inspection, and the next flight, Flight 14, is aimed at putting Starship into orbit for the first time. A tower catch attempt for the upper stage has been pushed back to what Musk has called “a few months” away.

SpaceX and a new Trump order that could rewrite the next decade of launches

The gap between Falcon’s role today and Starship’s promised role tomorrow matters most to NASA. Falcon and its Dragon capsule remain the only way the agency rotates astronauts to and from the International Space Station, and Starship is not certified to carry NASA crews. Musk’s post did not address how that handoff would work if Falcon winds down before a crew-rated Starship variant exists. The timing lines up with Musk’s other recent Starship comments. Two days before the Falcon post, he told a different X user that SpaceX is aiming for more than 30 Starship launches a day by 2030, or roughly 10,000 a year, a figure tied to the Trump administration’s new push for higher national launch cadence. Falcon, which took over a decade to reach its first 100 launches, was never built to approach that kind of volume.

For now, Falcon 9 keeps flying at a near-record pace while Starship works to prove it can do the job Musk has already picked out for it.

Continue Reading

News

Tesla will launch Cybercab on September 3

Published

on

Credit: TechOperator | X

Tesla Cybercab is set to launch in Austin, Texas, on September 3, as the company has officially started sending out invitations to a dedicated event it will hold in the city where its headquarters is located.

The Cybercab is Tesla’s dedicated ride-sharing vehicle: it features just two seats and has no steering wheel or pedals. It is aimed at fully autonomous passenger transport, and will operate in the Robotaxi fleet alongside the Tesla Model Y, which has been performing driverless rides for real-world passengers for more than a year.

The launch of the Cybercab marks the next chapter in Tesla’s autonomy story. The company has been developing autonomous transport for years with its Full Self-Driving (Supervised) platform, which is available in any vehicle the company has built with the proper hardware and software capabilities.

Its capabilities vary by hardware and software version, but Tesla says its latest hardware version, known as AI4, can deliver full autonomy. However, future vehicles will operate with even more robust hardware packages, as Tesla will develop AI4.5 and AI5 for even more capability in its vehicles.

Following a report from The Information that surfaced earlier this week, the writing was on the wall that Tesla was set to launch Cybercab in the near term. The report stated Tesla could launch Cybercab as soon as the end of August. Tesla came close and has booked it for September 3.

Tesla Cybercab launch preparations have begun

The big thing with this event being scheduled is not necessarily that Tesla is launching a new vehicle, but instead that it is launching a vehicle that has no steering wheel or pedals and will operate exclusively on a self-driving program that is evidently nearing full autonomy. If the event allows vehicles to take passengers on public roads and drop them off wherever they please within the City of Austin, it will be a drastic advancement in the company’s self-driving story.

People have ridden in Cybercab previously: Tesla had the “We, Robot” event in October 2024, which allowed people to experience fully autonomous rides in a closed circuit at Warner Bros. Studios in Burbank.

Additionally, Tesla launched employee rides in Cybercab in July.

It’s a drastic step forward for Tesla, whose CEO, Elon Musk, has promised for years that the company would release a fully autonomous vehicle and platform capable of allowing drivers to relinquish any responsibility behind the wheel.

Continue Reading