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Google’s DeepMind unit develops AI that predicts 3D layouts from partial images
Google’s DeepMind unit, the same division that created AlphaGo, an AI that outplayed the best Go player in the world, has created a neural network capable of rendering an accurate 3D environment from just a few still images, filling in the gaps with an AI form of perceptual intuition.
According to Google’s official DeepMind blog, the goal of its recent AI project is to make neural networks easier and simpler to train. Today’s most advanced AI-powered visual recognition systems are trained through the use of large datasets comprised of images that are human-annotated. This makes training a very tedious, lengthy, and expensive process, as every aspect of every object in each scene in the dataset has to be labeled by a person.
The DeepMind team’s new AI, dubbed the Generative Query Network (GQN) is designed to remove this dependency on human-annotated data, as the GQN is designed to infer a space’s three-dimensional layout and features despite being provided with only partial images of a space.
Similar to babies and animals, DeepMind’s GQN learns by making observations of the world around it. By doing so, DeepMind’s new AI learns about plausible scenes and their geometrical properties even without human labeling. The GQN is comprised of two parts — a representation network that produces a vector describing a scene and a generation network that “imagines” the scene from a previously unobserved viewpoint. So far, the results of DeepMind’s training for the AI have been encouraging, with the GQN being able to create representations of objects and rooms based on just a single image.
As noted by the DeepMind team, however, the training methods that have been used for the development of the GQN are still limited compared to traditional computer vision techniques. The AI creators, however, remain optimistic that as new sources of data become available and as improvements in hardware get introduced, the applications for the GQN framework could move over to higher-resolution images of real-world scenes. Ultimately, the DeepMind team believes that the GQN could be a useful system in technologies such as augmented reality and self-driving vehicles by giving them a form of perceptual intuition – extremely desirable for companies focused on autonomy, like Tesla.
Google DeepMind’s GQN AI in action. [Credit: Google DeepMind]
In a talk at Train AI 2018 last May, Tesla’s head of AI Andrej Karpathy discussed the challenges involved in training the company’s Autopilot system. Tesla trains Autopilot by feeding the system with massive data sets from the company’s fleet of vehicles. This data is collected through means such as Shadow Mode, which allows the company to gather statistical data to show false positives and false negatives of Autopilot software.
During his talk, Karpathy discussed how features such as blinker detection become challenging for Tesla’s neural network to learn, considering that vehicles on the road have their turn signals off most of the time and blinkers have a high variability from one car brand to another. Karpathy also discussed how Tesla has transitioned a huge portion of its AI team to labeling roles, doing the human annotation that Google DeepMind explicitly wants to avoid with the GQN.
Musk also mentioned that its upcoming all-electric supercar — the next-generation Tesla Roadster — would feature an “Augmented Mode” that would enhance drivers’ capability to operate the high-performance vehicle. With Tesla’s flagship supercar seemingly set on embracing AR technology, the emergence of new techniques for training AI such as Google DeepMind’s GQN would be a perfect fit for the next generation of vehicles about to enter the automotive market.
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 $40 million at auction. Vigna has indicated that seeing the car in person, along with upcoming client test drives, is expected to strengthen rather than weaken interest. Ferrari aims for fully electric models to comprise 20 percent of its lineup by 2030, with a second EV now delayed to 2028.
For a brand defined by scarcity and desirability, the Luce’s sell-out status suggests that among those who can afford it, the polarizing design has not proven to be a commercial liability.
Tesla and SpaceX shares fell on Wednesday after Democrats swept both chambers of Congress. The decline stood out as broader market securities recovered and turned positive, while both of Musk’s publicly traded companies lagged.
CEO Elon Musk already joked about the unsuccessful campaigning for the Republicans, but now the new party will make pretty drastic changes to how it handles Tesla and SpaceX, and those companies will adjust their outlook.
Let’s take a deeper look.
Tesla ($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.
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.
🇩🇪 Tesla’s new registrations in Germany nearly quadrupled in October, according to KBA data.
October: 2,932 units, +290.9% YoY Jan–Oct: 47,742 units, +206.1%
Germany’s overall BEV market grew 79.5% to 94,086 units last month. https://t.co/GMwNqsFAOC
— TESLARATI (@Teslarati) November 4, 2026
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.
Ferrari Luce sold out for 2027 after design controversy
Musk’s Tesla and SpaceX decline after Democratic Midterm sweep
