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.
Elon Musk
The Boring Company clears final Nashville hurdle: Music City loop is full speed ahead
The Boring Company has cleared its final Nashville hurdles, putting the Music City Loop on track for 2026.
The Boring Company has cleared one of its most significant regulatory milestones yet, securing a key easement from the Music City Center in Nashville just days ago, the latest in a series of approvals that have pushed the Music City Loop project firmly into construction reality.
On March 24, 2026, the Convention Center Authority voted to grant The Boring Company access to an easement along the west side of the Music City Center property, allowing tunneling beneath the privately owned venue. The move follows a unanimous 7-0 vote by the Metro Nashville Airport Authority on February 18, and a joint state and federal approval from the Tennessee Department of Transportation and the Federal Highway Administration on February 25. Together, these green lights have cleared the path for a roughly 10-mile underground tunnel connecting downtown Nashville to Nashville International Airport, with potential extensions into midtown along West End Avenue.
Music City Loop could highlight The Boring Company’s real disruption
Nashville was selected by The Boring Company largely because of its rapid population growth and the strain that growth has placed on surface infrastructure. Traffic has become a persistent problem for residents, convention visitors, and airport travelers alike. The Music City Loop promises an approximately 8-minute underground transit time between downtown and the Nashville International Airport (BNA), removing thousands of vehicles from surface roads daily while operating as a fully electric, zero-emissions system at no cost to taxpayers.
The project fits squarely within a broader vision Musk has championed for years. In responding to a breakdown of the Loop’s construction costs, Musk posted on X: “Tunnels are so underrated.” The comment reflected a longstanding belief that underground transit represents one of the most cost-effective and scalable infrastructure solutions available. The Boring Company has claimed it can build 13 miles of twin tunnels in Nashville for between $240 million and $300 million total, a fraction of what comparable projects cost elsewhere in the country.
Image Credit: The Boring Company/Twitter
The Las Vegas Loop, The Boring Company’s first operational system, has served as a proof of concept. During the CONEXPO trade show in March 2026, the Vegas Loop transported approximately 82,000 passengers over five days at the Las Vegas Convention Center, demonstrating the system’s capacity during large-scale events. Nashville draws millions of convention visitors and tourists each year, and local business leaders have pointed to that same capacity as a major draw for supporting the project.
The Music City Loop was first announced in July 2025. Construction began within hours of the February 25 state approval, with The Boring Company’s Prufrock tunneling machine already in the ground the same evening. The first operational segment is targeted for late 2026, with the full route expected to be complete by 2029. The project represents one of the largest privately funded infrastructure efforts currently underway in the United States.
Elon Musk
Elon Musk demands Delaware Judge recuse herself after ‘support’ post celebrating $2B court loss
A banner on the post read “Katie McCormick supports this,” using LinkedIn’s heart-in-hand “support” icon, an endorsement stronger than a simple “like.” Musk’s lawyers argue the action creates “a perception of bias against Mr. Musk,” warranting immediate recusal to preserve judicial impartiality.
Tesla CEO Elon Musk’s legal team has filed a motion demanding that Delaware Chancellor Kathaleen McCormick disqualify herself from an ongoing high-stakes Tesla shareholder lawsuit.
The filing, submitted March 25, cites an apparent LinkedIn “support” reaction from McCormick’s account to a post celebrating a $2 billion jury verdict against Musk in a separate California securities-fraud case.
The move escalates long-simmering tensions between Musk, Tesla, and the Delaware judiciary, where McCormick previously presided over the landmark challenge to Musk’s record $56 billion 2018 compensation package.
Delaware Supreme Court reinstates Elon Musk’s 2018 Tesla CEO pay package
The LinkedIn post was written by Harry Plotkin, a Southern California jury consultant who assisted the plaintiffs who sued Musk over 2022 tweets about his Twitter acquisition. Plotkin praised the trial team for “standing up for the little guy against the richest man in the world.”
The New York Post initially reported the story.
A banner on the post read “Katie McCormick supports this,” using LinkedIn’s heart-in-hand “support” icon, an endorsement stronger than a simple “like.” Musk’s lawyers argue the action creates “a perception of bias against Mr. Musk,” warranting immediate recusal to preserve judicial impartiality.
This appears to be unequivocal proof she denied the pay package because of her own personal beliefs and not the law.
Corruption. https://t.co/8dvgcfYuvh
— TESLARATI (@Teslarati) March 25, 2026
McCormick swiftly denied intentional endorsement. In a letter to attorneys, she stated she was unaware of the interaction until LinkedIn notified her. She wrote:
“I either did not click the ‘support’ icon at all, or I did so accidentally. I do not believe that I did it accidentally.”
The chancellor maintains the reaction was inadvertent, but critics, including Musk allies, call the explanation implausible given the platform’s deliberate interface.
McCormick’s central role in the Tesla pay-package litigation underscores the stakes. In Tornetta v. Musk, in January 2024, she ruled the 2018 performance-based stock-option grant, potentially worth $56 billion at the time and now valued far higher, was invalid.
The package consisted of 12 tranches of options, each vesting only after Tesla achieved ambitious market-cap and operational milestones. McCormick found Musk exercised “transaction-specific control” over Tesla as a controlling stockholder, the board lacked sufficient independence, and proxy disclosures to shareholders were materially deficient.
Applying the entire-fairness standard, she concluded defendants failed to prove the deal was fair in process or price and ordered full rescission, an “unfathomable” remedy she described as necessary to deter fiduciary breaches.
After the ruling, Tesla shareholders ratified the package a second time in June 2024. McCormick rejected that ratification in December 2024, holding that post-trial votes could not cure defects.
Tesla appealed. On December 19 of last year, the Delaware Supreme Court unanimously reversed the rescission remedy while largely leaving McCormick’s liability findings intact. The high court deemed total unwinding inequitable and impractical, restoring the package but awarding the plaintiff only nominal $1 damages plus reduced attorneys’ fees. Musk ultimately received the full award.
The current recusal motion arises in yet another Tesla derivative suit before McCormick. Legal observers say granting it could signal heightened scrutiny of judicial social-media activity; denial might reinforce perceptions of an insular Delaware bench.
Broader fallout includes accelerated corporate migration out of Delaware, Musk himself moved Tesla’s incorporation to Texas after the first ruling, and renewed debate over whether the state’s specialized courts remain the gold standard for corporate governance disputes.
A decision is expected soon; whichever way it lands, the episode highlights the fragile balance between judicial independence and public confidence in high-profile litigation.
News
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.
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.
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.
Tesla Model Y vs. Tesla Cybercab:
✅ Overall Length:⁰Model Y: 188.7 inches (4,794 mm)⁰Cybercab: ~175 inches (≈4,445 mm)⁰→ Cybercab is about 13–14 inches shorter (roughly the length of a large suitcase).
✅ Overall Width (excluding mirrors):⁰Model Y: 75.6 inches (1,920 mm)… https://t.co/PsVwzhw1pe pic.twitter.com/58JQ5ssQIO
— TESLARATI (@Teslarati) March 25, 2026
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.
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.
🚨 We caught up with the Tesla Cybercab today in The Bay Area: pic.twitter.com/9awXiK26ue
— TESLARATI (@Teslarati) March 24, 2026
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.
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.
The Boring Company clears final Nashville hurdle: Music City loop is full speed ahead
Elon Musk demands Delaware Judge recuse herself after ‘support’ post celebrating $2B court loss
Tesla Cybercab spotted next to Model Y shows size comparison
Elon Musk’s Boring Co. Tunnel Vision Challenge ends with a surprise for Louisiana, Maryland and Dallas
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