News
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.
News
Tesla parked 50+ Cybercabs outside its Texas Factory with some crash tested
Dozens of Tesla Cybercabs have been spotted at Giga Texas crash testing facility ahead of launch.
Drone footage captured by longtime Giga Texas observer Joe Tegtmeyer shows over 50 units of Tesla Cybercab at the Austin factory campus, including several units clustered by Tesla’s on-site crash testing facility.
The outbound lot at Gigafactory Texas sits just outside the factory exit and serves as the primary staging area where finished vehicles are held before being loaded onto transport carriers or dispatched for validation testing. On any given day, the lot holds a mix of Model Y and Cybertruck units alongside the growing Tesla Cybercab fleet, as can be seen in the drone footage captured by Joe Tegtmeyer.
Roughly 50 Cybercab units are visible across the campus, parked in tight organized rows. Most of the units visible still carry steering wheels and pedals, temporary additions Tesla included to satisfy current safety regulations while the vehicles accumulate real-world data ahead of full regulatory approval for a steering wheel-free design. Tesla operates dedicated Crash Labs at both its Giga Texas and Fremont facilities that are purpose-built for controlled structural crash tests. Historically, automakers begin intensive crash testing roughly one to two months before volume production kicks off. The Cybertruck followed almost exactly that pattern. The Cybercab appears to be on the same track facility that we first saw back in October 2025. The first production Cybercab rolled off the Giga Texas line on February 17, 2026. Volume production is now targeted for April. Musk previously wrote on X that “the early production rate will be agonizingly slow, but eventually end up being insanely fast,” and separately stated Tesla is targeting at least 2 million Cybercab units per year. Commercial robotaxi service in Austin is targeted for late 2026.
Firmware
Tesla 2026 Spring Update drops 12 new features owners have been waiting for
Tesla announced its Spring 2026 software update, and it’s the most feature-dense seasonal release the company has put out. The update covers twelve named changes spanning FSD, voice AI, safety lighting, dashcam storage, and pet display customization, among other things.
The centerpiece for owners with AI4 hardware is a redesigned Self-Driving app. The new interface lets owners subscribe to Full Self-Driving with a single tap and view ongoing FSD usage stats directly in the vehicle.
Grok gets its biggest in-car upgrade yet. The update adds a “Hey Grok” hands-free wake word along with location-based reminders, so a driver can now say “remind me to pick up groceries when I get home” without touching the screen. Grok first arrived in vehicles in July 2025, but each update has pushed it closer to genuine daily utility. Musk framed the broader vision clearly at Davos in January, saying Tesla is “really moving into a future that is based on autonomy.”
On safety, the update introduces enhanced blind spot warning lights that integrate directly with the cabin’s ambient lighting, building on the blind spot door warning that arrived in update 2026.8.
Dog Mode has been renamed Pet Mode and now lets owners choose a dog, cat, or hedgehog icon and add their pet’s name to the display.
Dashcam retention now extends up to 24 hours, up from the previous one-hour rolling loop, with a permanent save option for any clip. Weather maps now show rain and snow with better color differentiation and include the past hour of precipitation data along the route.
Tesla has now established a clear rhythm of two major OTA pushes per year. As with last year’s Spring update, that cycle started taking shape in 2025 with adaptive headlights and trunk customization. The 2025 Holiday Update then added Grok to the vehicle for the first time. This Spring follows that structure: the Holiday update introduces new architecture, and the Spring update broadens it across the fleet.
Two notable features still did not make it. IFTTT automations, which launched in China earlier this year, were held back from this North American release for unknown reasons, and Apple CarPlay remains absent, reportedly still delayed by iOS 26 and Apple Maps compatibility issues.
Below is the full list of feature updates released by Tesla.
— Tesla (@Tesla) April 13, 2026
News
Tesla launches new Model Y interior option
Produced at Gigafactory Shanghai, the update applies to all five-seat Premium Model Y configurations and started being seen on customer deliveries this week. The move marks the first major interior refresh for the compact crossover since its global debut.
Tesla has rolled out a striking new interior choice for its best-selling Model Y in China, replacing the long-familiar white cabin with a fresh option: Zen Grey.
Produced at Gigafactory Shanghai, the update applies to all five-seat Premium Model Y configurations and started being seen on customer deliveries this week. The move marks the first major interior refresh for the compact crossover since its global debut.
The Zen Grey interior swaps the classic black-and-white contrast for a softer, more unified palette. Seats, door panels, and center console trim now feature a warm light-grey tone that covers far more surface area than before.
Previously, black accents on the console, door handles, and lower dashboard are now color-matched in the same pebbled vegan leather, creating a brighter, less clinical cabin.
Tesla describes the material as durable and easy to maintain while delivering a noticeably more premium feel. Early photos and videos from Chinese owners show the new shade reflecting natural light beautifully, giving the spacious Model Y an even airier, more inviting atmosphere without sacrificing the minimalist design customers expect:
🚨 First look at Tesla’s new Zen Grey interior, which differs slightly in tone and in placement compared to the now discontinued White Interior https://t.co/rRRuEOrbm4 pic.twitter.com/p7uyNfO3xY
— TESLARATI (@Teslarati) April 13, 2026
The change is not an added-cost upgrade but a direct replacement for the discontinued white interior on Shanghai-built vehicles. Customers configuring a new Model Y in China, Hong Kong, or Macau now see Zen Grey as the default light-colored choice.
The update also flows to export markets supplied by Giga Shanghai, including Australia, New Zealand, South Korea, Japan, and the Philippines. Tesla has used its Chinese factory as an innovation hub before, and executives appear to be testing broader appeal with this subtler, warmer tone that avoids the high-maintenance reputation sometimes associated with bright white leather.
Beyond the interior, the refreshed Model Y from Shanghai includes minor exterior tweaks such as blacked-out badges on some trims and optional dark 20-inch wheels.
These changes arrive as Tesla faces stiff competition from domestic EV makers in its largest market. By refreshing the Model Y’s cabin without raising prices, the company is signaling continued commitment to value and constant improvement.
With over 1.2 million Model Y units already on Chinese roads, the Zen Grey launch gives existing owners a fresh talking point and new buyers another reason to choose Tesla. As deliveries ramp up this month, the updated interior is expected to become the dominant light-colored choice across the Asia-Pacific region.
Tesla has not yet confirmed whether the Zen Grey will reach Fremont, Austin, or Berlin-built Model Ys, but Shanghai’s track record suggests the option could spread quickly if customer feedback remains strong.





