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Google’s DeepMind unit develops AI that predicts 3D layouts from partial images

[Credit: Google DeepMind]

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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.

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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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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Cybercab spotted next to Model Y shows size comparison

The Model Y is Tesla’s most-popular vehicle and has been atop the world’s best-selling rankings for the last three years. The Cybercab, while yet to be released, could potentially surpass the Model Y due to its planned accessible price, potential for passive income for owners, and focus on autonomy.

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Credit: Joe Tegtmeyer | X

The Tesla Cybercab and Tesla Model Y are perhaps two of the company’s most-discussed vehicles, and although they are geared toward different things, a recent image of the two shows a side-by-side size comparison and how they stack up dimensionally.

The Model Y is Tesla’s most-popular vehicle and has been atop the world’s best-selling rankings for the last three years. The Cybercab, while yet to be released, could potentially surpass the Model Y due to its planned accessible price, potential for passive income for owners, and focus on autonomy.

Geared as a ride-sharing vehicle, it only has two seats. However, the car will be responsible for hauling two people around to various destinations completely autonomously. How they differ in terms of size is striking.

Tesla Cybercab includes this small but significant feature

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In a new aerial image shared by drone operator and Gigafactory Texas observer Joe Tegtmeyer, the two vehicles were seen side by side, offering perhaps the first clear look at how they differ in size.

Dimensionally, the differences are striking. The Model Y stretches roughly 188 inches long, 75.6 inches wide, excluding its mirrors, and stands 64 inches tall on a 113.8-inch wheelbase. The Cybercab measures approximately 175 inches in length, about a foot shorter, and just 63 inches wide.

That narrower stance gives the Cybercab a dramatically more compact silhouette, making it easier to maneuver in tight urban environments and park in standard spaces that would feel cramped for the Model Y. Height is also lower on the Cybercab, contributing to its sleek, coupe-like profile versus the Model Y’s taller crossover shape.

Visually, the contrast is unmistakable. The Model Y presents as a family-friendly SUV with conventional doors, a prominent hood, and a spacious glass roof.

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The Cybercab eliminates the steering wheel and pedals entirely, creating a clean, futuristic cabin that feels more lounge than cockpit.

Its doors open in a distinctive, wide-swinging motion, and the body features smoother, more aerodynamic lines optimized for autonomy. Parked beside a Model Y, the Cybercab appears almost toy-like in width and length, yet its low-slung stance and minimalist design emphasize agility over bulk.

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Cargo capacity tells another part of the story. The Model Y offers generous real-world utility: 4.1 cubic feet in the front trunk and 30.2 cubic feet behind the rear seats, expanding to 72 cubic feet with the second row folded flat.

It comfortably swallows groceries, luggage, or sports equipment for five passengers. The Cybercab, designed for two riders, trades that volume for targeted efficiency.

It features a rear hatch with enough space for two carry-on suitcases and personal items, plenty for the typical robotaxi trip, while maintaining impressive legroom and headroom for its occupants.

In short, the Model Y prioritizes versatility and family hauling with its larger footprint and abundant storage. The Cybercab sacrifices size for simplicity, cost, and urban nimbleness.

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At roughly 12 inches shorter and 12 inches narrower, it embodies Tesla’s vision for scalable, affordable autonomy: smaller on the outside, smarter inside, and ready to redefine how we move through cities.

The Cybercab and Model Y both will contribute to Tesla’s fully autonomous future. However, the size comparison gives a good look into how the vehicles are the same, and how they differ, and what riders should anticipate as the Cybercab enters production in the coming weeks.

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Elon Musk says Tesla is developing a new vehicle: ‘Way cooler than a minivan’

It sounds as if Tesla could be considering a new vehicle to fit the mold of what a larger family would need, and as fans have been demanding it for several years and the company is phasing out the Model X, its only family-geared vehicle, it sounds as if it could be the perfect time.

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Tesla CEO Elon Musk said the company is developing a new vehicle, and it will be “way cooler than a minivan.”

It sounds as if Tesla could be considering a new vehicle to fit the mold of what a larger family would need, and as fans have been demanding it for several years and the company is phasing out the Model X, its only family-geared vehicle, it sounds as if it could be the perfect time.

There are a handful of things Musk could be talking about, and as many Tesla owners have wanted a vehicle along the lines of a minivan for hauling around their family, speculation has persisted about what the company would do in terms of developing something for that exact use case.

There were several options, and some of them seemed to be already available. Musk posted on X yesterday that the Cybertruck has three sets of isofix attachments and could fit three child seats or three adults, and it seemed to be a way to deflect plans for a new, larger vehicle as a Model Y L appeared to be present at Giga Texas.

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There is also the Robovan, the large people mover that Tesla unveiled at the “We, Robot” back in 2024.

However, it seems Tesla could be developing something like a CyberSUV, something that is going to be large enough to haul around a car full of kids, but could be developed with the company’s aesthetic of the company’s most recent releases: this would likely include a light bar and a more sleek, futuristic look.

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We’ve mocked up some potential looks for Tesla’s speculative vehicle in the past:

Tesla has teased the potential of a CyberSUV in the past, showing off clay models that it developed back in September in a teaser video called “Sustainable Abundance.”

Tesla appears to be mulling a Cyber SUV design

Fans and owners have been calling for this development for a very long time, and it seems like Tesla might be ready to finally answer the call on a large SUV. With the segment being dominated by combustion engine vehicles, Tesla could truly disrupt the large SUVs that have been mainstays.

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The Chevrolet Tahoe and GMC Yukon would feel some additional pressure, and it would be possible for Tesla to infiltrate some of those sales and pull consumers to electric powertrains.

As the Model S and Model X sunset process is truly hitting full swing, it might be time to consider Tesla’s next option in terms of vehicle development.

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Elon Musk’s $10 Trillion robot: Inside Tesla’s push to mass produce Optimus

Tesla’s surging Optimus job listings reveal a company sprinting from prototype to one million robot production.

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Tesla is accelerating its push to bring the Optimus humanoid robot to high volume production, and its recent job listings tells the story as clearly as any earnings call.

With well over 100 Optimus related job openings now posted across its U.S. facilities, Tesla is signaling a critical pivot for the program, moving it from a captivating tech demo to a serious manufacturing endeavor. Roles span the full spectrum of the product lifecycle, from Robotics Software Engineers and Manufacturing Engineers to Mechanical Integration Engineers and AI Engineers focused on world modeling and video generation. One active listing for a Software Engineer on the Optimus team asks candidates to build scalable and reliable data pipelines for Optimus manufacturing lines and develop automation tools that accelerate analysis and visualization for mass manufacturing.

Tesla is racing toward a one million unit annual production target. The clearest signal yet that Tesla is treating Optimus as its primary business came on January 28, 2026, during the company’s Q4 2025 earnings call. Musk announced that Tesla is ending production of the Model S and Model X, and will repurpose those lines at its Fremont, California factory to build Optimus humanoid robots.

A production intent prototype of Optimus Version 3 is planned to be ready in early 2026, after which Tesla intends to build a one million unit production line with a targeted production start by the end of 2026. To support that ramp, Tesla broke ground on a massive new Optimus manufacturing facility at Gigafactory Texas in late 2025, with ambitions to eventually reach 10 million units per year.

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Tesla Giga Texas to feature massive Optimus V4 production line

The business case for scaling this aggressively is rooted in labor economics. Musk has stated that “Optimus has the potential to be the biggest product of all time,” reasoning that if Tesla can produce capable humanoid robots at scale and reasonable cost, every task currently performed by human labor becomes a potential application. In a separate statement, Musk framed Optimus’s long term importance even more bluntly, saying it could surpass Tesla’s vehicle business in scale with the potential to generate $10 trillion in revenue.

The industries Tesla is targeting first are those most burdened by repetitive physical labor. Early applications include manufacturing assembly, material handling and quality inspection, as well as logistics tasks like loading, unloading, sorting, and transporting goods in warehouses and distribution centers. Longer term, Tesla’s vision is for Optimus to penetrate household, medical, and logistics scenarios at the scale of a smartphone rollout.

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