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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 has big plans for Las Vegas by year’s end

Elon Musk’s Boring Company says Vegas Loop stations will double by year end once again.

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the boring company's vegas loop entrance

The Boring Company says the Vegas Loop’s station count will double by the end of the year, tying the target to a hiring push for drivers and operations managers in Las Vegas. “Vegas Loop is getting bigger – the station count will double by end of year!” the company wrote in a post on X, attaching listings for a Loop driver and a senior Loop operations manager.

The number checks out against what’s already public, with the Vegas Loop currently running 14 operational stations, while the Boring Company’s own project page lists 28 as the target for the end of 2026.

Much of that growth is tied to tunnels that are already built and waiting on an opening date. A roughly two-mile dual tunnel system under Paradise Road, connecting Westgate to a planned station at 4744 Paradise Road, is expected to open in stages over the coming weeks, Las Vegas Convention and Visitors Authority chief executive Steve Hill told the Review-Journal last week. New stations at 4744 Paradise, Virgin Hotels Las Vegas, and the former Gordon Biersch site would come online with it, several of them built to speed up rides to Harry Reid International Airport ahead of Formula 1’s Las Vegas Grand Prix.

Clark County entitled Vegas Loop for 123 stations after approving 19 more in August, as Teslarati reported at the time. Entitlement and construction move at different speeds on this project, so county approval alone does not guarantee a station opens on any particular schedule.

Clark County approved 18 additional stations back in 2023, part of a plan that pushed the system’s target to 69 stations across 65 miles, doubling the network on paper for the first time. The target kept climbing after that, to roughly 93 stations by the end of that year and 104 by last year, before August’s vote pushed it to 123. This week’s announcement is the first time that doubling language has been attached to stations actually running rather than stations merely approved on a county map.

Ridership gives some sense of what a denser network could carry. Boring Company executive Mike Baier said in July that the Vegas Loop already moves around 40,000 passengers on busy convention days, a total that tops most light rail systems in the country despite the system running on a fraction of its planned tunnel mileage. Company leadership has projected ridership could triple or quadruple once the airport connector tunnels fully open.

Boring Company did not say which stations beyond those already under construction would open by year end, or whether the hiring push points to a fleet expansion alongside the new stops.

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Tesla looks to expand into new Asian market, strengthening presence

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Credit: Tesla Asia | X

Tesla is looking to expand into a new Asian market, strengthening its presence in a region that has been bullish on electric vehicles as a whole.

Tesla officially filed to establish a subsidiary of its business in Vietnam, a report from Reuters suggests. Tesla named the entity “Tesla Motors Vietnam Limited Liability Company.”

The planned entrance into the Vietnamese market is a good sign and move for Tesla, as it has become one of the fastest-growing EV markets in Southeast Asia. It is already among the leaders in the region in both volume and electrification rate. In the first half of this year, Vietnam led Southeast Asia in battery-electric passenger car sales at about 116,000 units, up about 71 percent year over year.

Currently, Vietnamese EV drivers rely on VinFast’s V-Green network, which has about 150,000 ports, but these are primarily reserved for VinFast vehicles. Public third-party charging is fragmented and unreliable for those who do not own chargers that are dedicated to a certain manufacturer’s vehicles.

Tesla has had mixed results in Asia as a whole, and as China remains the core part of its story in Asia, the company is evidently working on expanding its footprint on the continent. Tesla’s domestic retail deliveries fell about 12 percent year over year through the first eight months of 2026.

Model Y remains a standout individual product, holding its position as one of, if not the, best-selling vehicles in the world. However, Model 3 has been weaker than it has been in past years.

Gigafactory Shanghai, the company’s Chinese production facility, still performs very well. Wholesale volumes in terms of exports have more than doubled and now exceed domestic retail sales; Giga Shanghai builds vehicles for Europe, South Korea, Japan, Australia, and other markets. South Korea has been an explicit bright spot, with registrations doubling year-to-date and Tesla frequently appearing as the top imported brand.

Tesla just did something in South Korea that no foreign carmaker has ever done

Tesla’s entrance into Vietnam signals a broader effort to take over the Asian market and grab more market share from rivals.

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Elon Musk

Elon Musk’s companies made up with Apple but OpenAI still on the hook

Elon Musk’s X Corp and SpaceXAI dropped their Apple antitrust suit, leaving OpenAI as defendant.

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X Corp and SpaceXAI, Elon Musk’s social platform and AI venture, have dropped Apple from the antitrust lawsuit that they filed against the iPhone maker and OpenAI last year. In a filing in the U.S. District Court for the Northern District of Texas, attorneys for X and SpaceXAI moved to dismiss the Apple portion of the case, first reported by Reuters. The filing does not explain why the companies are dropping Apple or say whether a settlement was reached.

X and SpaceXAI say they intend to keep pursuing the case against OpenAI, which remains a defendant. That resolves the dispute with one company while leaving the core allegation intact against the other, with no public accounting of what changed in between.

The lawsuit dates to August 2025, when xAI and X sued Apple and OpenAI, arguing that Apple’s decision to make ChatGPT the only generative AI chatbot built into iOS gave OpenAI an unfair structural advantage. The complaint claimed ChatGPT controlled roughly 80 percent of the chatbot market at the time, while Grok held only a few percent. It sought billions of dollars in damages and asked the court to unwind the arrangement.

Elon Musk’s xAI and X file antitrust suit against Apple and OpenAI over AI exclusivity

The filing followed weeks of Musk publicly complaining that Grok and X weren’t appearing in Apple’s “Must Have” App Store section, though Grok ranked second in the Productivity category and X ranked first in News at the time. He accused Apple of “playing politics” and warned of immediate legal action before following through days later.

Apple and OpenAI tried to get the case thrown out, but a federal judge denied both motions in November, ruling the dispute was better suited to summary judgment than an early dismissal. That decision sent the case into discovery, which is presumably what led to Monday’s filing.

The timing is notable given how Musk’s sentiment toward Apple has shifted, with Musk noting that he was open to letting Grok power a revamped Siri after a user suggested Apple replace its aging assistant with xAI’s model.

xAI, the AI venture Musk folded into X Corp last year, has since combined with SpaceX under the SpaceXAI brand. That structure now puts X, Grok and SpaceX’s rocket and satellite businesses under one roof as Musk pushes his AI ambitions beyond chatbots.

OpenAI remains the sole defendant going forward, and Musk’s companies have not said if there’s any changes to those original claims. Apple and OpenAI did not immediately respond to requests for comment on the filing.

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