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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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Tesla opens new “Cybaer” Engineering Center in Berlin

Tesla opened its Berlin Engineering Center, uniting four sites and 30 labs near Giga Berlin.

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Tesla has opened a new engineering hub in Berlin, putting the teams that design and test its European parts about 30 minutes from the factory that builds them.

The Berlin Tesla Engineering Center, or BTEC, opened Wednesday in the Köpenick district. Tesla Europe said on X that the project went from permit to operational in under a year and consolidates four engineering sites and 30 labs onto a single campus. It is the company’s third hub of this kind, after Fremont and Shanghai.

“We’re combining materials, powertrain, vehicle engineering & validation under one roof, enabling a short feedback loop between development & ramp,” Tesla Europe wrote.

 

Tesla converted the former production halls of a cable factory for the site. About 250 engineers and technicians are starting there, most of them relocated from existing Tesla facilities such as Tilburg in the Netherlands. Tesla has already applied for approval of a second phase that would take the headcount to roughly 500, and it put the total investment at €100 million.

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The labs cover battery cells, motors, materials and complete vehicles, and a large hall is set aside for safety testing of components, including airbags. During the opening, staff demonstrated a pedestrian leg impact test on the front of a Tesla using a catapult rig, Tagesspiegel reported. The center’s logo is a cubist Berlin bear that employees call the “Cybaer.”

Tesla said its Berlin design and engineering teams already contributed to the Model Y, Semi and Roadster, and that the work continues at BTEC. The center will handle technical problem solving for Giga Berlin in Grünheide while also developing and validating parts for vehicles built in China and the United States.

“We came here to stay,” BTEC head Brückner told dpa. “We serve all of Europe via Gigafactory Berlin-Brandenburg.” He said a site close to the plant was a priority, and that the old industrial building allowed Tesla to move quickly.

That proximity matters more now that Giga Berlin is growing again. In June, Tesla said it would raise Model Y output at the plant to 7,500 vehicles per week and hire 1,000 more workers after a record first quarter of more than 61,000 units. The factory recently built 7,000 Model Ys in a single week for the first time. Tesla also more than doubled the planned 4680 cell capacity at the site to 18 GWh per year in May, and has talked about eventually taking Grünheide to one million vehicles annually.

Sales are giving Tesla reason to invest. KBA data released the same day showed Tesla’s German registrations nearly quadrupled year over year in October to 2,932 units, bringing the total for the first ten months of 2026 to 47,742.

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Ferrari Luce sold out for 2027 after design controversy

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Credit: Ferrari

Ferrari’s first electric vehicle, the Luce, is fully sold out for 2027, according to CEO Benedetto Vigna.

Presenting third-quarter results, he stated: “Everything we plan to sell next year is already fully allocated. Client test drives, scheduled for next year, will help further boost demand. We have no critical issues, neither on manufacturing nor on the demand side. Obviously, the car is more complex because it has many new parts and many new technologies.”

First customer deliveries are expected before the end of 2026, with the model already commanding waitlists despite a turbulent debut.

The Luce is a five-seat, four-door liftback saloon—the longest Ferrari ever produced—powered by four electric motors producing approximately 1,035 horsepower.

It features an 800-volt architecture, a 122-kWh battery, a claimed WLTP range of around 329 miles, 0-62 mph acceleration in 2.5 seconds, and a starting price near €550,000 in Europe (roughly $560,800–$615,000 in the U.S. depending on configuration).

Developed in collaboration with Jony Ive and Marc Newson’s LoveFrom studio alongside Ferrari’s own Centro Stile, it represents a deliberate departure from the brand’s traditional mid-engine sports cars toward a more spacious, grand-touring format.

Its exterior has proven deeply polarizing. Unveiled in Rome in May 2026, the design features smooth, sweeping surfaces, a large glass roof, and restrained detailing that critics described as bland, generic, or more reminiscent of an Apple product or mass-market EV than a Ferrari.

Ferrari unveils its Luce EV, and its reception has been a disaster

Online reactions included memes comparing it to a Nissan Leaf or Polestar, while former Ferrari chairman Luca di Montezemolo publicly warned of “the destruction of a myth” and suggested the prancing horse logo be removed. Italian politicians and longtime owners joined the chorus of disappointment, and Ferrari’s shares dropped roughly 8% in a single day, erasing billions in market value.

Design experts noted the absence of the brand’s signature tension, aggression, and emotional drama.

Yet the controversy has not translated into weak demand among the ultra-wealthy clientele who actually buy Ferraris. Production volumes remain tightly limited, as reports suggest fewer than 500 units in the current year and a longer-term pace of roughly 600 annually through 2030, preserving exclusivity.

One early chassis sold for $40 million at auction. Vigna has indicated that seeing the car in person, along with upcoming client test drives, is expected to strengthen rather than weaken interest. Ferrari aims for fully electric models to comprise 20 percent of its lineup by 2030, with a second EV now delayed to 2028.

For a brand defined by scarcity and desirability, the Luce’s sell-out status suggests that among those who can afford it, the polarizing design has not proven to be a commercial liability.

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Investor's Corner

Musk’s Tesla and SpaceX decline after Democratic Midterm sweep

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Credit: Grok

Tesla and SpaceX shares fell on Wednesday after Democrats swept both chambers of Congress. The decline stood out as broader market securities recovered and turned positive, while both of Musk’s publicly traded companies lagged.

CEO Elon Musk already joked about the unsuccessful campaigning for the Republicans, but now the new party will make pretty drastic changes to how it handles Tesla and SpaceX, and those companies will adjust their outlook.

Elon Musk hilariously comments on Midterm election results

Let’s take a deeper look.

Tesla ($TSLA)

Tesla shares traded lower during the regular session after Democrats secured both the House and Senate. The stock was down 2.32 percent at around 1:45 p.m. on the East Coast, trading at around $389.30.

The pressure is tied to more than the raw scale of Musk’s political spending, estimated at $450–474 million this cycle with roughly $224 million directed at Texas. In that state, Tesla now faces a Democratic governor and a Democratic senator after Gina Hinojosa unseated Greg Abbott and James Talarico defeated Ken Paxton.

The Austin Gigafactory, Robotaxi pilot programs in multiple Texas cities, and any related AI compute expansion sit under a new state executive who campaigned against certain corporate subsidies and floated a moratorium on new data-center construction.

Federally, Democratic control of key committees opens the door to deeper examination of Tesla’s autonomous-driving safety record, federal energy-storage and manufacturing incentives, and the national-security implications of any combination with SpaceX.

Investors are also weighing whether the company’s historically close alignment with the prior Republican leadership will invite slower permitting, additional hearings, or tighter rules on Full Self-Driving deployment.

For Tesla, the political shift adds near-term friction around state permitting and federal regulatory approvals for autonomy and energy storage. A potential merger with SpaceX may face slower review even if it proceeds.

Core growth drivers such as vehicle deliveries, energy deployments, and robotaxi rollout remain intact, yet the stock now carries a higher political-risk premium that could weigh on valuation until the company demonstrates workable relationships with the new Texas leadership and congressional majorities.

SpaceX ($SPCX)

SpaceX shares also declined in live trading on November 4 following the Democratic midterm sweep. The stock traded at $134.97, down 4.49 percent. The drop occurred even as broader indexes stabilized, highlighting a company-specific reaction to the election outcome.

Musk’s large contributions, concentrated in Texas races that both companies lost, place SpaceX’s Starbase launch facility and headquarters under a new Democratic governor.

At the federal level, Democratic control of Congress enables greater scrutiny of NASA, the Department of Defense, and other contracts that support a meaningful share of revenue, along with reviews of Starlink national-security uses and any Tesla merger. Analysts have noted that empowered committees can hold hearings and request documents on these relationships.

For SpaceX, the results raise the risk of delayed contract awards, higher compliance costs, and tighter constraints on AI and satellite infrastructure expansion, particularly in Texas where a data-center moratorium has been discussed.

A merger with Tesla could encounter political friction that slows integration of launch, connectivity, and autonomy capabilities.

While Starlink growth and launch cadence continue as primary drivers, the company faces a more contested path for federal funding and state-level operations, requiring management to rebuild ties with the new congressional majorities and Texas leadership to limit the overhang.

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