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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.
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Tesla Sweden faces fresh union blockade at key Gothenburg paint shop
Allround Lack works with painting and damage repair of passenger cars, including Teslas.
Tesla’s ongoing labor conflict in Sweden escalated again as the trade union IF Metall issued a new blockade halting all Tesla paintwork at Allround Lack in Gothenburg.
Allround Lack works with painting and damage repair of passenger cars, including Teslas. It currently employs about 20 employees.
Yet another blockade against Tesla Sweden
IF Metall’s latest notice ordered a full work stoppage for all Tesla-related activity at Allround Lack. With the blockade in place, paint jobs on Tesla-owned vehicles, factory-warranty repairs, and transport-damage fixes, will be effectively frozen, as noted in a report from Dagens Arbete. While Allround Lack is a small paint shop, its work with Tesla means that the blockade would add challenges to the company’s operations in Sweden, at least to some degree.
Paint shop blockades have been a recurring tool in the longstanding conflict. The first appeared in late 2023, when repair shops were barred from servicing Tesla vehicles. Days later, the Painters’ Union implemented a nationwide halt on Tesla paint work across more than 100 shops. Since then, a steady stream of workshops has been pulled into the conflict.
Earlier blockades faced backlash from consumers
The sweeping effects of the early blockades drew criticism from industry groups and consumers. Employers and industry organization Transportföretagen stated that the strikes harmed numerous workshops across Sweden, with about 10 of its members losing about 50% of their revenue.
Private owners also expressed their objections. Tibor Blomhäll, chairman of Tesla Club Sweden, told DA in a previous statement that the blockades from IF Metall gave the impression that the union was specifically attacking consumers. “If I get parking damage to my car, I pay for the paint myself. The company Tesla is not involved in that deal at all. So many people felt singled out, almost stigmatized. What have I done as a private individual to get a union against me?” Blomhäll stated.
In response to these complaints, IF Metall introduced exemptions, allowing severely damaged vehicles to be repaired. The union later reopened access for private owners at workshops with collective agreements. The blockades at the workshops were also reformulated to only apply to work that is “ordered by Tesla on Tesla’s own cars, as well as work covered by factory warranties and transport damage on Tesla cars.”
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Tesla breaks Norway’s all-time annual sales record with one month to spare
With November alone delivering 4,260 new registrations, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Tesla shattered Norway’s decade-old annual sales record this month, overtaking Volkswagen’s long-standing milestone with over one month still left in the year. Backed by surging demand ahead of Norway’s upcoming VAT changes, Tesla has already registered 26,666 vehicles year-to-date, surpassing Volkswagen’s 2016 record of 26,572 units.
With November alone delivering 4,260 new registrations month-to-date, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Model Y drives historic surge in Norway
Tesla’s impressive momentum has been led overwhelmingly by the Model Y, which accounted for 21,517 of Norway’s registrations this year, as noted in a CarUp report, citing data from Elbil Statistik. The Model 3 followed with 5,087 units, while the Model S and Model X contributed 30 and 19 vehicles, respectively. Even the parallel-imported Cybertruck made the charts with 13 registrations.
Demand intensified sharply through autumn as Norwegian buyers rushed to secure deliveries before the country’s VAT changes take effect in January. The new regulation is expected to add roughly NOK 50,000 to the price of a Model Y, prompting a wave of early purchases that helped lift Tesla beyond the previous all-time record well before year-end.
With December still ahead, Tesla is positioned to extend its historic lead further. Needless to say, it appears that Norway will prove to be one of Tesla’s strongest markets in Europe.
FSD could be a notable demand driver in 2026
What’s especially interesting about Tesla’s feat in Norway is that the company’s biggest selling point today, Full Self-Driving (Supervised), is not yet available there. Tesla, however, recently noted in a post on X that the Dutch regulator RDW has reportedly committed to issuing a Netherlands national approval for FSD (Supervised) in February 2026.
The RDW posted a response to Tesla’s post, clarifying the February 2026 target but stating that FSD’s approval is not assured yet. “The RDW has drawn up a schedule with Tesla in which Tesla is expected to be able to demonstrate that FSD Supervised meets the requirements in February 2026. RDW and Tesla know what efforts need to be made to make a decision on this in February. Whether the schedule will be met remains to be seen in the coming period,” the RDW wrote in a post on its official wesbite.
If FSD (Supervised) does get approved next year, Tesla’s vehicles could gain a notable advantage over competitors, as they would be the only vehicles on the market capable of driving themselves on both inner-city streets and highways with practically no driver input.
Tesla Full Self-Driving v14.2 rolled out late last week to Early Access Program (EAP) members, but its best feature is not what you think.
While Tesla has done a great job of refining the performance of the Full Self-Driving suite with the latest update, there are some other interesting additions, including one that many owners have requested for some time.
Upon the release of v14.2, many owners recognized the Blue Dot next to the Autopilot tab in Vehicle Settings, notifying them of a new feature. What was included as a new feature in the new update was a Full Self-Driving stats feature, which now will show you how many miles you’ve traveled in total, and how many of those miles were driven using FSD:
🚨 The coolest non-driving change of Tesla Full Self-Driving v14.2 pic.twitter.com/HOJcFaV2Ny
— TESLARATI (@Teslarati) November 21, 2025
The feature seems to be more of a bragging rights thing than anything, but it will also give drivers a good idea of how many miles they are using Full Self-Driving for. Those who use telematics-based insurance services will also be able to run experiments of their own, and could determine whether their premiums are impacted by the use of Full Self-Driving, and whether it is more advantageous to use over manual driving.
Tesla rolled out numerous other improvements with Tesla Full Self-Driving v14.2, most notably, the company seems to have resolved previous complaints about brake stabbing and hesitation. This was a major complaint in v14.1, but Tesla has seemed to resolve it with this newest branch of the FSD suite.
There were also improvements in overall operation, and it was notably smoother than past versions. Speed Profiles are seemingly refined as well, as they seem much more fixed on how fast they will travel and how aggressive they will be with things like passing cars on freeways and lane changes.
In future updates, Tesla plans to add Parking Spot selection, along with overall operational improvements. However, CEO Elon Musk recently said that the next branch, Full Self-Driving v14.3, will be where the “final piece of the puzzle is placed.” Tesla believes it is close to solving autonomy, so v14.3 could be a major jump forward, but it remains to be seen.
Tesla Sweden faces fresh union blockade at key Gothenburg paint shop
Tesla breaks Norway’s all-time annual sales record with one month to spare
