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Tesla FSD Beta 10.69.2.2 extending to 160k owners in US and Canada: Elon Musk

Credit: Whole Mars Catalog

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It appears that after several iterations and adjustments, FSD Beta 10.69 is ready to roll out to the greater FSD Beta program. Elon Musk mentioned the update on Twitter, with the CEO stating that v10.69.2.2. should extend to 160,000 owners in the United States and Canada. 

Similar to his other announcements about the FSD Beta program, Musk’s comments were posted on Twitter. “FSD Beta 10.69.2.1 looks good, extending to 160k owners in US & Canada,” Musk wrote before correcting himself and clarifying that he was talking about FSD Beta 10.69.2.2, not v10.69.2.1. 

While Elon Musk has a known tendency to be extremely optimistic about FSD Beta-related statements, his comments about v10.69.2.2 do reflect observations from some of the program’s longtime members. Veteran FSD Beta tester @WholeMarsBlog, who does not shy away from criticizing the system if it does not work well, noted that his takeovers with v10.69.2.2 have been marginal. Fellow FSD Beta tester @GailAlfarATX reported similar observations. 

Tesla definitely seems to be pushing to release FSD to its fleet. Recent comments from Tesla’s Senior Director of Investor Relations Martin Viecha during an invite-only Goldman Sachs tech conference have hinted that the electric vehicle maker is on track to release “supervised” FSD around the end of the year. That’s around the same time as Elon Musk’s estimate for FSD’s wide release. 

It should be noted, of course, that even if Tesla manages to release “supervised” FSD to consumers by the end of the year, the version of the advanced driver-assist system would still require drivers to pay attention to the road and follow proper driving practices. With a feature-complete “supervised” FSD, however, Teslas would be able to navigate on their own regardless of whether they are in the highway or in inner-city streets. And that, ultimately, is a feature that will be extremely hard to beat. 

Following are the release notes of FSD Beta v10.69.2.2, as retrieved by NotaTeslaApp: 

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– 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 connectivities. 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.

– 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 maneuvers.

– 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 optimisable 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.

– 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.

– 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.

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– 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.

– 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.

– Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.

– Improved recall of animals by 34% by doubling the size of the auto-labeled training set.

– Enabled creeping for visibility at any intersection where objects might cross ego’s path, regardless of presence of traffic controls.

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– 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.

– 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.

– Improved speed when entering highway by better handling of upcoming map speed changes, which increases the confidence of merging onto the highway.

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– Reduced latency when starting from a stop by accounting for lead vehicle jerk.

– Enabled faster identification of red light runners by evaluating their current kinematic state against their expected braking profile.

Press the “Video Record” button on the top bar UI to share your feedback. When pressed, your vehicle’s external cameras will share a short VIN-associated Autopilot Snapshot with the Tesla engineering team to help make improvements to FSD. You will not be able to view the clip.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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It’s official: SpaceX takes aim at Verizon, AT&T, and T-Mobile

SpaceX is buying 800 MHz spectrum from Grain to turn Starlink Mobile into a carrier.

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Starlink D2D direct to device vs Verizon, AT&T (Concept render by Grok)

SpaceX has agreed to buy a nationwide block of low band wireless spectrum, a deal the company says will let Starlink Mobile operate as a full US carrier rather than a satellite add-on for someone else’s network.

The company announced the agreement on X on Thursday afternoon, saying it will “pave the way for @Starlink to become a major mobile carrier in the US.” The seller is Grain Management, a private investment firm that confirmed in a statement that SpaceX will acquire 100% of its nationwide 800 MHz portfolio. That covers up to 14 MHz of paired spectrum in the 817 to 824 MHz and 862 to 869 MHz bands. Neither side disclosed a price, and the deal still needs FCC approval.

Grain only recently picked up the licenses itself. It bought the portfolio from T-Mobile in a transaction that closed in August, paying cash plus its own 600 MHz spectrum. Rival AST SpaceMobile had been testing satellites on the same bands before SpaceX stepped in.

SpaceX said its 2 GHz spectrum will handle high bandwidth capacity, while the new 800 MHz layer “ensures Starlink Mobile’s signal penetrates through obstacles, such as walls, and can provide service to customers’ devices even when they are in buildings.” The company added that most existing phones already support the band, so customers would not need new hardware to use it.

That 2 GHz spectrum came from SpaceX’s EchoStar acquisition last year, which gave the company exclusive S band rights in the US and global Mobile Satellite Service licenses. The Grain spectrum is different in an important way: it is tailored for service from ground towers, not satellites. SpaceX said that combination would make Starlink Mobile “the first network operator to deploy both satellite and terrestrial spectrum.”

The announcement also follows a key regulatory win. Earlier this week, the FCC approved SpaceX’s plan to deploy 15,000 second generation Starlink Mobile satellites, which the company has said will carry up to 100 times the data density of the current system, as Teslarati previously reported.

Shares of AT&T, Verizon and T-Mobile fell in extended trading after the announcement. T-Mobile is currently SpaceX’s launch partner for Starlink Mobile in the US, which makes its position the most complicated of the three.

SpaceX has not been subtle about its plans. During the company’s August earnings call, President and COO Gwynne Shotwell said she expected Starlink Mobile to win over customers from the major carriers. “I anticipate us to be able to acquire quite a few of their customers because I think our service will be better,” she said, pointing to dead zone coverage and resilience during disasters. Shotwell also described plans for low cost cellular base stations that could pair with existing Starlink dishes.

SpaceX has targeted 2027 for deployment of its next generation Starlink Mobile satellites, with upgraded service expected by the end of that year. The FCC review of the Grain deal now determines when the terrestrial half of that network can come online.

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Trump presents Elon Musk with National Medal of Science, calls him “modern-day Thomas Edison”

Trump gave Elon Musk the National Medal of Science and compared him to Thomas Edison.

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Elon Musk holds the National Medal of Science alongside President Donald Trump at the “Science: A New Golden Age” summit in Washington on October 8, 2026.
Elon Musk holds the National Medal of Science alongside President Donald Trump at the “Science: A New Golden Age” summit in Washington on October 8, 2026.

Elon Musk now has the highest honor the U.S. government gives to scientists and engineers. President Donald Trump presented him with the National Medal of Science on Thursday at the White House’s “Science: A New Golden Age” summit, held at the Institute of Peace in Washington, according to the White House.

Trump called Musk a “national treasure” and “our modern-day Thomas Edison.” “Few Americans in history have done more to advance America’s national interest than Elon in one field after another,” the president said. He also described Musk as an “industrial titan, brilliant engineer and one of the greatest technology founders to ever live.”

The official citation credits Musk “for engineering achievements of extraordinary ambition and scale that have pushed the frontiers of space exploration, intelligent systems, communications, and beyond, renewing American technological leadership and opening a new chapter in American manufacturing.” Tesla is not named in it, but “intelligent systems” and “American manufacturing” cover a lot of ground that Tesla and the Terafab chip project occupy.

Google co-founder Sergey Brin, Nvidia CEO Jensen Huang and AMD CEO Lisa Su received the same medal. Microsoft CEO Satya Nadella and Dell Technologies CEO Michael Dell were given the National Medal of Technology and Innovation. It was the first time Trump has handed out either award in his two terms. As Teslarati noted when the list was first reported on Wednesday, the National Science Foundation says 529 people have received the Medal of Science since Congress created it in 1959.


The ceremony closes a loop that opened in 2025, when Musk left DOGE and criticized the “Big Beautiful Bill,” sparking a public feud. Al Jazeera noted that Musk was the largest contributor to Trump’s 2024 campaign, and CNBC reported that all of the honorees have given financially to Trump or Republican causes in some form. The reconciliation has moved quickly in recent weeks. Musk sat at Trump’s left at the September 29 White House AI lunch, was named to help lead the Pentagon’s Project Meridian study on the future of warfare, and adopted the administration’s “super intelligence” wording when he said SpaceXAI will become SpaceXSI.

For Tesla and SpaceX shareholders, the practical question is what the closer relationship means for federal approvals. Tesla’s Robotaxi and Cybercab expansion depends on national autonomy rules, and SpaceX’s Starship and Starlink plans run through the FAA, FCC and NASA. Thursday’s ceremony did not change any of that directly.

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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-tesla-robotaxi

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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