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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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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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Tesla registrations in Germany nearly quadruple in October

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Credit: Tesla Manufacturing | X

Tesla’s new vehicle registrations in Germany rose sharply in October, nearly quadrupling from the same month a year earlier. That’s according to data from the KBA, Germany’s federal motor transport authority.

The KBA reported 2,932 Tesla vehicles registered in October, a 290.9 percent year-over-year- increase. For the first ten months of the year, Tesla’s cumulative registrations reached 47,742 units. This number is up 206.1 percent compared with the January-October period of 2025. These gains occurred against a backdrop of strong overall growth in the BEV sector as a whole.

Germany registered 94,086 new BEVs in October, a 79.5 percent rise that brought the BEV share of the passenger car market to 37 percent of the 254,492 total cars registered that month.

Despite the percentage surge, Tesla’s absolute numbers left it with a 1.2 percent share of all new car registrations for October. Chinese competitors did record higher volumes, as BYD registered 5,173 vehicles, a 2 percent share, Leapmotor with 3,661 cars, which equates to 1.4 percent, and Xpeng had a 0.5 percent share.

Year-to-date through October, BYD edged ahead of Tesla with 47,961 registrations versus Tesla’s 47,742.

The October results follow a notably strong September for Tesla in Germany, when it registered 12,552 vehicles, an increase of roughly 269 percent year-over-year and one of its strongest monthly totals on record in the country. That month, the Model Y led all EVs and ranked among the top-selling vehicles of any powertrain.

The figures form part of a broader recovery in Tesla’s European registrations after an extended period of softer demand. While monthly volumes remain subject to typical quarter-end patterns and competitive pressure from both established European brands and rapidly expanding Chinese manufacturers, the year-to-date growth indicates improved traction in Europe’s largest car market.

Tesla’s Gigafactory Berlin-Brandenburg continues to supply the region, positioning the company to capture a share of the expanding German BEV market as overall EV adoptions looks to be accelerating.

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