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Tesla FSD Beta V11.3 starts shipping to employees (Release Notes)

Credit: Drive in EV/Twitter

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The release notes for Tesla FSD Beta V11.3 have been shared online. Observers from the electric vehicle community suggest that Tesla Full Self-Driving Beta 11.3 is rolling out to the company’s employee FSD Beta testers, at least for now. 

The following are Tesla’s FSD Beta V11.3 release notes: 

  • Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.
  • Added voice drive-notes. After an intervention, you can now send Tesla an anonymous voice message describing your experience to help improve Autopilot.
  • Expanded Automatic Emergency Braking (AEB) to handle vehicles that cross ego’s path. This includes cases where other vehicles run their red light or turn across ego’s path, stealing the right-of-way.
  • Replay of previous collisions of this type suggests that 49% of the events would be mitigated by the new behavior. This improvement is now active in both manual driving and autopilot operation.
  • Improved autopilot reaction time to red light runners and stop sign runners by 500ms, by increased reliance on object’s instantaneous kinematics along with trajectory estimates.
  • Added a long-range highway lanes network to enable earlier response to blocked lanes and high curvature.
  • Reduced goal pose prediction error for candidate trajectory neural network by 40% and reduced runtime by 3X. This was achieved by improving the dataset using heavier and more robust offline optimization, increasing the size of this improved dataset by 4X, and implementing a better architecture and feature space.
  • Improved occupancy network detections by oversampling on 180K challenging videos including rain reflections, road debris, and high curvature.
  • Improved recall for close-by cut-in cases by 20% by adding 40k autolabeled fleet clips of this scenario to the dataset. Also improved handling of cut-in cases by improved modeling of their motion into ego’s lane, leveraging the same for smoother lateral and longitudinal control for cut-in objects.
  • Added “lane guidance module and perceptual loss to the Road Edges and Lines network, improving the absolute recall of lines by 6% and the absolute recall of road edges by 7%.
  • Improved overall geometry and stability of lane predictions by updating the “lane guidance” module representation with information relevant to predicting crossing and oncoming lanes.
  • Improved handling through high speed and high curvature scenarios by offsetting towards inner lane lines. 
  • Improved lane changes, including: earlier detection and handling for simultaneous lane changes, better gap selection when approaching deadlines, better integration between speed-based and nav-based lane change decisions and more differentiation between the FSD driving profiles with respect to speed lane changes.
  • Improved longitudinal control response smoothness when following lead vehicles by better modeling the possible effect of lead vehicles’ brake lights on their future speed profiles.
  • Improved detection of rare objects by 18% and reduced the depth error to large trucks by 9%, primarily from migrating to more densely supervised autolabeled datasets.
  • Improved semantic detections for school busses by 12% and vehicles transitioning from stationary-to-driving by 15%. This was achieved by improving dataset label accuracy and increasing dataset size by 5%.
  • Improved decision making at crosswalks by leveraging neural network based ego trajectory estimation in place of approximated kinematic models.
  • Improved reliability and smoothness of merge control, by deprecating legacy merge region tasks in favor of merge topologies derived from vector lanes.
  • Unlocked longer fleet telemetry clips (by up to 26%) by balancing compressed IPC buffers and optimized write scheduling across twin SOCs.

Several longtime FSD Beta testers have pointed out some key improvements that would likely be very appreciated by users in V11.3. These include the systems’ improved handling through high speed and high curvature scenarios, as well as improvements to Automatic Emergency Braking (AEB). With the improvements in place, FSD Beta V11.3 would behave closer to a proper human driver. 

Comments from longtime Tesla FSD Beta testers also suggest that V11.3 is still only being released for company employees for now. Considering Tesla’s past updates, it would not be surprising if the greater FSD Beta fleet gets the V11.3 update in the coming week or so. This is, of course, unless V11.3 ends up going the way of FSD Beta V11, which was released to employees in November but not to the greater fleet of FSD Beta testers. 

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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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.


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.

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