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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 Model Y L is gaining momentum in China’s premium segment
This suggests that the addition of the Model Y L to Tesla China’s lineup will not result in a case of cannibalization, but a possible case of “premiumization” instead.
Tesla’s domestic sales in China held steady in November with around 73,000 units delivered, but a closer look at the Model Y L’s numbers hints at an emerging shift towards pricier variants that could very well be boosting average selling prices and margins.
This suggests that the addition of the Model Y L to Tesla China’s lineup will not result in a case of cannibalization, but a possible case of “premiumization” instead.
Tesla China’s November domestic numbers
Data from the a Passenger Car Association (CPCA) indicated that Tesla China saw domestic deliveries of about 73,000 vehicles in November 2025. This number included 34,000 standard Model Y units, 26,000 Model 3 units, and 13,000 Model Y L units, as per industry watchers.
This means that the Model Y L accounted for roughly 27% of Tesla China’s total Model Y sales, despite the variant carrying a ~28% premium over the base RWD Model Y that is estimated to have dominated last year’s mix.
As per industry watcher @TSLAFanMtl, this suggests that Tesla China’s sales have moved towards more premium variants this year. Thus, direct year-over-year sales comparisons might miss the bigger picture. This is true even for the regular Model Y, as another premium trim, the Long Range RWD variant, was also added to the lineup this 2025.
November 2025 momentum
While Tesla China’s overall sales this year have seen challenges, the Model Y and Model 3 have remained strong sellers in the country. This is especially impressive as the Model Y and Model 3 are premium-priced vehicles, and they compete in the world’s most competitive electric vehicle market. Tesla China is also yet to roll out the latest capabilities of FSD in China, which means that its vehicles in the country could not tap into their latest capabilities yet.
Aggregated results from November suggest that the Tesla Model Y took the crown as China’s #1 best-selling SUV during the month, with roughly 34,000 deliveries. With the Model Y L, this number is even higher. The Tesla Model 3 also had a stellar month, seeing 25,700 deliveries during November 2025.
Cybertruck
Tesla Cybertruck earns IIHS Top Safety Pick+ award
To commemorate the accolade, the official Cybertruck account celebrated the milestone on X.
The Tesla Cybertruck has achieved the Insurance Institute for Highway Safety’s (IIHS) highest honor, earning a Top Safety Pick+ rating for 2025 models built after April 2025.
The full-size electric pickup truck’s safety rating is partly due to the vehicle’s strong performance in updated crash tests, superior front crash prevention, and effective headlights, among other factors. To commemorate the accolade, the official Cybertruck account celebrated the milestone on X.
Cybertruck’s IIHS rating
As per the IIHS, beginning with 2025 Cybertruck models built after April 2025, changes were made to the front underbody structure and footwell to improve occupant safety in driver-side and passenger-side small overlap front crashes. The moderate overlap front test earned a good rating, and the updated side impact test also received stellar marks.
The Cybertruck’s front crash prevention earned a good rating in pedestrian scenarios, with the standard Collision Avoidance Assist avoiding collisions in day and night tests across child, adult crossing, and parallel paths. Headlights with high-beam assist compensated for limitations, contributing to the top award.
Safest and most autonomous pickup
The Cybertruck is one of only two full-size pickups to receive the IIHS’ Top Safety Pick + rating. It is also the only one equipped with advanced self-driving features via Tesla’s Full Self-Driving (Supervised) system. Thanks to FSD, the Cybertruck can navigate inner city streets and highways on its own with minimal supervision, adding a layer of safety beyond passive crash protection.
Community reactions poured in, with users praising the vehicle’s safety rating amidst skepticism from critics. Tesla itself highlighted this by starting its X post with a short clip of a Cybertruck critic who predicted that the vehicle will likely not pass safety tests. The only question now is, of course, if the vehicle’s Top Safety Pick+ rating from the IIHS will help the Cybertruck improve its sales.
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Tesla stands to gain from Ford’s decision to ditch large EVs
Tesla is perhaps the biggest beneficiary of Ford’s decision, especially as it will no longer have to deal with the sole pure EV pickup that outsold it from time to time: the F-150 Lightning.
Ford’s recent decision to abandon production of the all-electric Ford F-150 Lightning after the 2025 model year should yield some advantages for Tesla.
The Detroit-based automaker’s pivot away from large EVs and toward hybrids and extended-range EVs that come with a gas generator is proof that sustainable powertrains are easy on paper, but hard in reality.
Tesla is perhaps the biggest beneficiary of Ford’s decision, especially as it will no longer have to deal with the sole pure EV pickup that outsold it from time to time: the F-150 Lightning.
Here’s why:
Reduced Competition in the Electric Pickup Segment
The F-150 Lightning was the Tesla Cybertruck’s primary and direct rival in the full-size electric pickup market in the United States. With Ford’s decision to end pure EV production of its best-selling truck’s electric version and shifting to hybrids/EREVs, the Cybertruck faces significantly less competition.
Credit: Tesla
This could drive more fleet and retail buyers toward the Cybertruck, especially those committed to fully electric vehicles without a gas generator backup.
Strengthened Market Leadership and Brand Perception in Pure EVs
Ford’s pullback from large EVs–citing unprofitability and lack of demand for EVs of that size–highlights the challenges legacy automakers face in scaling profitable battery-electric vehicles.
Tesla, as the established leader with efficient production and vertical integration, benefits from reinforced perception as the most viable and committed pure EV manufacturer.
Credit: Tesla
This can boost consumer confidence in Tesla’s long-term ecosystem over competitors retreating to hybrids. With Ford making this move, it is totally reasonable that some car buyers could be reluctant to buy from other legacy automakers.
Profitability is a key reason companies build cars; they’re businesses, and they’re there to make money.
However, Ford’s new strategy could plant a seed in the head of some who plan to buy from companies like General Motors, Stellantis, or others, who could have second thoughts. With this backtrack in EVs, other things, like less education on these specific vehicles to technicians, could make repairs more costly and tougher to schedule.
Potential Increases in Market Share for Large EVs
Interestingly, this could play right into the hands of Tesla fans who have been asking for the company to make a larger EV, specifically a full-size SUV.
Customers seeking large, high-capability electric trucks or SUVs could now look to Tesla for its Cybertruck or potentially a future vehicle release, which the company has hinted at on several occasions this year.
With Ford reallocating resources away from large pure EVs and taking a $19.5 billion charge, Tesla stands to capture a larger slice of the remaining demand in this segment without a major U.S. competitor aggressively pursuing it.
Tesla Model Y L is gaining momentum in China’s premium segment
Tesla Cybertruck earns IIHS Top Safety Pick+ award
