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Tesla Smart Summon patent highlights progress in 3D labeling for full self-driving features
A recently published Tesla patent application details the machine learning methods behind Smart Summon, specifically highlighting the progress being made with 3D labeling in training data.
The application, titled “Autonomous and User Controlled Vehicle Summon to a Target,” utilizes machine learning methods explicitly detailed in two other recent Tesla patent publications in its functionality. This series of three inventions altogether describes an automated way of generating training data which is then used by a machine learning model to accomplish an expansive list of self-driving capabilities in Summon.
“Traditionally, much of the effort to curate a training data set is done manually by reviewing potential training data and properly labeling the features associated with the data,” Tesla’s first application in the series states. “The effort required to create a training set with accurate labels can be significant and is often tedious… Therefore, there exists a need to improve the process for generating training data with accurate labeled features.”
- A method flow chart from Tesla’s autonomous 3D labeling patent. | Image: Tesla/USPTO
- A method flow chart from Tesla’s Smart Summon patent application. | Image: Tesla/USPTO
The application goes on to describe how labeled training data is made autonomously in their invention using sensors and the collection of what’s called a “time series,” i.e., a series of images captured over a period of time.
“Using data captured by sensors on a vehicle to capture the environment of the vehicle and vehicle operating parameters, a training data set is created,” it explains. “In some embodiments, a three-dimensional representation of a feature, such as a lane line, is created from the group of time series elements that corresponds to the ground truth… As one example, a series of images for a time period, such as 30 seconds, is used to determine the actual path of a vehicle lane line over the time period the vehicle travels…a single image of the group and the actual path taken can be used as training data to predict the path of the vehicle.”
Tesla CEO Elon Musk has previously mentioned that better labeling is one of the keys to speeding up the rollout of self-driving functionality and features like Reverse Summon. “We need to finish work on Autopilot core foundation code & 3D labeling, then functionality will happen quickly. Not long now,” Musk wrote on Twitter in March this year. With better labeling (more accurate training data) comes safer and more capable software due to improved predictions from the modeling.

When it comes to Tesla’s Smart Summon, prediction modeling is essential considering there isn’t a driver in the vehicle during its operation. The patent publication covering Summon embodies the first application’s time series functionality and a second application’s implementation of the time series’ training data in its methods, demonstrating one of the numerous potential uses for the machine learning invention. Hints about future developments using Smart Summon are also detailed in the application. Examples include:
- Syncing the Smart Summon with a calendar so the vehicle “automatically navigates to arrive at the location at the ending time, such as the end of a dinner party, a wedding, a restaurant reservation, etc.”
- Implementing a multi-part destination into the Summon instructions such as waypoints at an airport to pick up multiple passengers.
- Monitoring the heartbeat of a Summon user to ensure they are maintaining a connection with the vehicle while operating the feature.
- Customizing the vehicle’s arrival settings such as interior lighting, exterior lighting, hazard lights, welcome music, and climate control preferences.
One of the more unique bits about the Smart Summon patent application is the appearance of Elon Musk as an inventor. While the CEO is known to be intimately involved in nearly all aspects of vehicle design, software features, and business operations, his name is unexpectedly absent from most of the company’s inventions. However, this is apparently on purpose. “I generally try my best not to be on patents,” he revealed on Twitter in reply to a post about the Smart Summon application. Notably, inventorship is a legal definition based on the conception of an invention, i.e., not the person/people who suggested or directed its creation, but the person/people who devised the means to accomplish it.
Prior to the most recent patent publication, Musk contributed inventorship to the door and body styling of the Model X. He also contributed the same to both the design and function of Tesla’s vehicle charge inlets.
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Tesla Giga Texas reportedly moves to 24/7 production
Tesla’s Austin Gigafactory is reportedly shifting to round-the-clock vehicle production through the end of 2026, according to longtime drone observer Joe Tegtmeyer.
In his November 2 update, Tegtmeyer, widely regarded as one of the most reliable independent sources on Giga Texas activity (we call him the Drone GOAT), stated that the plant has added a night shift, creating two 12-hour production shifts.
Tegtmeyer said in his video:
“Now, I do have some interesting news about that when it comes to the production schedule here at Giga Texas, and things are actually looking pretty good, especially when you think about what the demand is and the delivery numbers that they’re looking for and what they’re expecting. So, normally they have shifts Monday through Friday. It’s a day shift and it’s about 10 hours long or so, give or take. But now they’re on day and night shifts and they’re going to 12-hour days. So they’re going to be adding or they have another shift. They have 12 hours for both of them. In addition to that, the typical downtime that we’re going to be seeing around the holidays, specifically Thanksgiving and Christmas to the New Year time frame is actually changed. And we’re not going to see those big several day events where there is no production. At least that’s what the plan is right now. So, it’s really a great sign, I think, when we consider what they’ve done in the past and what production and the deliveries have been so far. So, maybe it’s shaping up to be a really strong quarter.”
Previously, General Assembly typically operated on a single roughly 10-hour day shift, Monday through Thursday or Friday. The new arrangement keeps General Assembly on its Monday-to-Thursday schedule while adding overnight capacity, and most other areas of the factory continue working the full week with some weekend activity.
Notably, the plant is also forgoing the multi-day shutdowns around Thanksgiving and the Christmas–New Year period that have occurred in prior years
Giga Texas currently builds the Model Y, the larger Model Y L, the Cybertruck, and the Cybercab robotaxi. Tesla has not confirmed the shift change or specified which lines will receive the extra output. Recent comments suggest Cybercab production has been constrained by the pace at which the Robotaxi fleet can absorb new vehicles, making the Model Y and Model Y L the more likely beneficiaries as the company works through order backlogs.
Tegtmeyer’s November 2 footage and commentary also highlighted broader site progress. Cortex 2 continues to expand, with additional compute coming online, a roughly 25 percent lengthening of the structure on the north end, and work on a third cooling plant.
The Boring Company tunnel site showed increased activity in the large launch pit, while the Advanced Technology Chip Fab (a SpaceX–Tesla joint R&D facility) continued steel superstructure and heavy truss installation, along with concrete pours.
The reported capacity increase arrives as Tesla aims for a strong fourth quarter following solid third-quarter results. While unconfirmed by the company, the information aligns with Tegtmeyer’s consistent track record of accurate on-site observations.
If Tesla makes the decision to sustain the all-day production plans, the dual 12-hour shifts would meaningfully raise weekly output potential at one of Tesla’s most important manufacturing hubs.
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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.
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.
Berlin Tesla Engineering Center opens today From permit to operational in under a year, it brings 4 engineering sites onto 1 campus w/ 30 different labs in Köpenick, 30 minutes from Giga Berlin With our 3rd hub of this kind after Fremont & Shanghai, we’re combining materials, powertrain, vehicle engineering & validation under one roof – enabling a short feedback loop between development & ramp — Tesla Europe, Middle East & Africa (@teslaeurope) November 4, 2026
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.
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
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.

