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Tesla FSD Beta 10.69.2.2 extending to 160k owners in US and Canada: Elon Musk
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:
– 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.
– 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.
– 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.
– 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.
Elon Musk
Tesla and SpaceX merger talks hit a new stage, and one hurdle remains
Tesla and SpaceX merger talks are reportedly advancing, and a deal could arrive by December.
Tesla and SpaceX are moving closer to a combination, with a deal announcement possible as soon as December, Bloomberg reported on Thursday, citing people familiar with the matter. The companies have also discussed a scenario in which the announcement slips into early 2027.
Boards and advisers on both sides are now working through the terms of the deal and the governance structure of the combined company, according to the report. One open item is how many SpaceX shares Tesla investors would receive. Bloomberg had previously reported that the two companies were aiming to announce a deal in the first half of next year and close it before the end of President Donald Trump’s term, so a December announcement would pull that schedule forward by months.
Tesla shares rose as much as 1.9% to $398.35 after the report, while SpaceX gained 0.6% to $140.63. SpaceX carries a market value of about $1.9 trillion following its June IPO, and Tesla is valued at about $1.55 trillion, which would make a combination the largest corporate deal on record. Neither company responded to requests for comment.
The talks became official on October 20, when Elon Musk said on SpaceX’s third quarter earnings call that both companies had formed special committees of independent directors to study a merger, as Teslarati reported. Musk said he could not take part because he is “a conflicted party” and called the process “an odd kabuki dance.” He also noted that Tesla would need approval from 50 percent of all outstanding shares, a bar the company missed in 2025 when a board declassification proposal won support from only 39.4 percent.
China remains the biggest structural problem. Bloomberg’s sources said the companies still need to work out how to isolate Tesla’s large and profitable manufacturing business in China from SpaceX’s U.S. government and defense contracts. JPMorgan analyst Rajat Gupta described those two factors last month as “key dynamics that are at odds with each other” for regulatory and shareholder approval. Musk has repeatedly said Tesla has no plans to separate its China business, a position he restated in August after ARK Invest predicted a merger announcement before the end of the year.
Washington adds another layer. Democrats took control of Congress in this month’s midterms and have pledged to investigate Musk’s business and political activities, which could bring added scrutiny to a deal involving one of the Pentagon’s most important launch and satellite contractors.
The report also lands three weeks before Tesla’s December 3 annual meeting at Giga Texas. That ballot has only three items, led by the re-election of Musk, board chair Robyn Denholm and JB Straubel, and includes no merger proposal. Any deal announced in December would likely require a separate special meeting for Tesla shareholders to vote on it.
The two companies already share a growing list of projects, including the Terafab semiconductor plant in Texas. Tesla’s next generation Roadster, which uses cold gas thrusters built on SpaceX hardware, turned up on display at SpaceX headquarters last month and has become one of the clearest public examples of that overlap.
News
SpaceX hid behind another name in the Arizona desert, and now it’s going big
SpaceX puts a $50 billion price on its Arizona supercompute campus ahead of December’s hearing.
SpaceX has put a price tag on the supercomputer campus it wants to build in the southern Arizona desert. In a statement Thursday, the company said it is pursuing a roughly $50 billion supercompute campus in Cochise County, about 80 miles east of Tucson. Together with a separate facility planned at Starbase, Texas, the two projects add up to more than $74 billion in planned investment.
The Arizona figure had not been disclosed before. SpaceX’s involvement only became public on November 4, when company representatives hosted a packed town hall at Cochise Elementary School for an application filed under the name Tombstone Resources LLC. A SpaceX representative told residents the filing used another name because putting SpaceX on it “draws attention” from outside the county, local station KVOA reported.
The application describes a 747-acre site near the Willcox Playa with up to nine buildings of about 493,000 square feet each. SpaceX plans to bring the campus online in four phases of roughly 1.5 GW, reaching 6 GW at full build, backed by a 24 GWh battery system and about $3.6 billion in grid upgrades. At that size, it would draw about 2.5 times more power than every data center in Maricopa County combined, according to an Arizona Republic analysis.
SpaceX says the project will create about 5,500 construction jobs and 1,000 permanent jobs, and that it could cut electricity bills for members of the local cooperatives by up to 20 percent. The campus would use dry cooling with no industrial groundwater use. Its application estimates ongoing water needs of 7 to 10 acre-feet a year, roughly what 20 to 30 homes consume.
Power is the bigger question. The site sits next to the Apache Generating Station, a coal and natural gas plant with about 1 GW of capacity that had been slated to retire by 2028. SpaceX told residents its investment could expand the station to more than 6 GW.
Local opposition is organized. A petition asking the county to deny the permit has gathered about 2,400 signatures, and the nearby playa is a landing spot for federally protected sandhill cranes, which SpaceX says its design accounts for. The Cochise County Planning and Zoning Commission will hold a public hearing on December 9 in Bisbee, with written comments due November 27. If approved, construction could start in March 2027.
The Texas project faces a vote the same day. The Starbase City Commission will consider a property tax abatement for SpaceX’s $24 billion gas plant and supercompute facility at its own December 9 hearing, as Teslarati reported. SpaceX said Thursday the Starbase site has already generated more than 3,000 construction jobs, and it committed $220 million to Brownsville’s water and wastewater systems, $40 million of which has been paid.
Both campuses would expand a footprint still centered on the Memphis area, where SpaceX’s Colossus data centers run largely on gas turbines and the company won a permit for a power plant in Southaven, Mississippi earlier this year. SpaceX ended the third quarter with 1.7 GW of nameplate compute. The Arizona campus alone, at full build, would be more than three times that size.
Elon Musk
Nvidia’s board meets on Jensen Huang, and Elon Musk already has an answer
Elon Musk says it would be an honor to hire Jensen Huang amid Nvidia turmoil.
Elon Musk says he would welcome Jensen Huang at one of his companies if Nvidia’s board decides to push out its longtime chief executive.
On Wednesday evening, the financial account ZeroHedge posted “Elon please hire Jensen” on X. Musk replied roughly two hours later: “That would be an honor.” Neither Huang nor Nvidia had responded publicly as of Wednesday night.
Musk’s reply came as Nvidia’s board met to decide Huang’s future. The Wall Street Journal reported that directors were preparing to oust him following reports of two extramarital relationships. One involves Alice Huang, a Singapore-based businesswoman whom U.S. intelligence officials reportedly believe was working for China’s Ministry of State Security. The New York Times separately reported a relationship with Kimberly Powell, Nvidia’s vice president of health care. Huang acknowledged being unfaithful in a memo to employees on Sunday but gave no details.
@zerohedge That would be an honor
— Elon Musk (@elonmusk) November 12, 2026
Under Nvidia’s bylaws, a majority of its 11 directors can remove the CEO with or without cause. Bloomberg reported that the board has been working with an outside firm on possible replacements and may name an interim chief, with CFO Colette Kress seen as the likely pick. Nvidia shares fell more than 8 percent in extended trading, according to CNBC, and the company is scheduled to report quarterly earnings on November 17.
Musk has more riding on Nvidia’s leadership than most tech executives. In August, he told investors on SpaceX’s first earnings call as a public company that it would build its AI infrastructure exclusively on Nvidia hardware, calling Vera Rubin “the best architecture.” SpaceX is also working with Nvidia on the compute payload for Starmind, its planned orbital AI constellation. In October, SpaceX said it had a binding commitment for a roughly $40 billion lease of Vera Rubin GPUs and related equipment, with the leases expected to begin in the first half of 2027.
The scale of that dependence is already enormous. On its Q3 call, SpaceX said it was bringing roughly 200,000 to 220,000 Nvidia GB300 GPUs online each month and expects 2.5 to 3 GW of nameplate compute by the end of the year. That buildout is now reaching new sites like the proposed $24 billion power plant and supercomputer campus at Starbase.
The relationship between the two executives also goes back nearly a decade. Huang has often told the story of personally delivering Nvidia’s first DGX-1 AI supercomputer to Musk in 2016, when no other customer wanted one. “Nobody wanted to be part of it, except for Elon,” Huang said on the Joe Rogan Experience last December.
Musk did not say what role Huang might fill, and his reply stops short of a formal offer. Huang co-founded Nvidia in 1993 and still owns about 3.6 percent of its stock, so any move to a Musk company would depend on whether, and how, he leaves the chipmaker he has run for more than three decades.
Tesla and SpaceX merger talks hit a new stage, and one hurdle remains
SpaceX hid behind another name in the Arizona desert, and now it’s going big
