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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 just unlocked sales to 50,000+ government agencies

It marks a significant step in expanding Tesla’s presence in the public sector, where procurement processes have traditionally slowed electric vehicle adoption.

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Credit: Patrick Bean | X

Tesla just unlocked sales to over 50,000 government agencies by entering a new agreement with Sourcewell, a purchasing cooperative.

Tesla entered a new master purchasing agreement with Sourcewell, the largest government purchasing cooperative in the U.S. This will enable streamlined sales of its EVs to more than 50,000 U.S. public entities. Tesla entered Designated Contract 0813525-TES, and the agreement covers Model 3, Model Y, and Cybertruck, and potentially other vehicles the company could release.

It marks a significant step in expanding Tesla’s presence in the public sector, where procurement processes have traditionally slowed electric vehicle adoption.

The deal allows eligible agencies, including cities, school districts, state governments, and higher-education institutions, to purchase Tesla vehicles directly through Sourcewell without conducting their own lengthy competitive bidding or request-for-proposal (RFP) processes.

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Pricing is pre-negotiated and capped, providing transparency and predictability. Agencies simply register for a Sourcewell account online or by phone and place orders under the existing contract. This cooperative model aggregates demand across thousands of members, reducing administrative costs and time while ensuring compliance with public procurement rules.

For Tesla, the agreement removes major barriers to government fleet sales. Public-sector procurement cycles often stretch 12 to 18 months due to bidding requirements and committee reviews.

Tesla buyers in the U.S. military can get $1,000 off Cybertruck purchases

By securing the master contract, Tesla gains immediate, simplified access to a massive customer base that previously faced friction in adopting EVs. The company highlighted in its announcement that the partnership will help these 50,000-plus agencies “save thousands of $$$ in operating costs for their vehicle fleet over time” through lower maintenance, energy efficiency, and the elimination of tailpipe emissions.

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The initial four-year term runs through November 13, 2029, with options for up to three one-year extensions, offering long-term stability for both parties.

Sourcewell’s role is central to execution. As a cooperative purchasing organization, it negotiates and manages vendor contracts on behalf of its members, then makes them available nationwide. Participating entities contact Tesla’s dedicated fleet team or Sourcewell representatives to complete purchases, bypassing redundant paperwork.

This structure accelerates fleet electrification while maintaining fiscal accountability—agencies receive pre-vetted pricing and terms without reinventing the wheel for each vehicle order.

The partnership positions Tesla to capture a larger share of the public fleet market, where total cost of ownership often favors electric vehicles once procurement hurdles are removed.

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For government buyers, it translates to faster deployment of sustainable fleets, reduced long-term expenses, and alignment with environmental mandates. As more agencies transition, the contract could contribute to broader EV infrastructure growth and taxpayer savings across the country.

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How much of SpaceX will Elon Musk own after IPO will surprise you

SpaceX’s IPO filing confirms Musk will maintain his voting power to make key decisions for the company.

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Rendering of Elon Musk overlooking a Starship fleet (Credit: Grok)

Elon Musk will retain dominant voting control of SpaceX after it goes public, according to the company’s IPO prospectus that was filed with the SEC. The filing reveals a dual-class equity structure giving Class B shareholders 10 votes each, concentrating power with Musk and a handful of other insiders, while Class A shares sold to public investors carry one vote.

Musk holds approximately 42% of SpaceX’s equity and controls roughly 79% of its votes through super-voting shares. He will simultaneously serve as CEO, CTO, and chairman of the nine-member board after the listing. Beyond that, the filing includes provisions that may limit shareholders’ influence over board elections and legal actions, forcing disputes into arbitration and restricting where they can be brought.

The case for Musk holding this level of control is grounded in SpaceX’s actual history. The company’s most important bets, from reusable rockets to a global satellite internet constellation, were decisions that ran against conventional aerospace thinking and would likely have faced resistance from a board accountable to investor gains. Fully reusable rockets were considered economically irrational by established industry players for years. Starlink, which now generates over $4 billion in annual operating profit, was widely dismissed as financially unviable when it was proposed. The argument for concentrated founder control seems straightforward, and the decisions that built SpaceX into what it is today required someone willing to ignore consensus and absorb years of losses.

SpaceX files confidentially for IPO that will rewrite the record books

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For context, Musk’s position is significantly more dominant than Zuckerberg’s at Meta. The comparison with Tesla is also worth noting. When Tesla did its IPO in 2010, it did not issue dual-class shares. Musk has only recently pushed for enhanced voting protection, proposing at least 25% control at Tesla in 2024 after selling shares to fund his Twitter acquisition left him with around 13%.

SpaceX has clearly learned from that experience and structured the IPO differently by planning to allocate up to 30% of shares to retail investors, roughly three times the typical norm for a large offering. The roadshow is expected to begin the week of June 8, with a Nasdaq listing rumored to be a $1.75 trillion valuation and a $75 billion raise.

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Tesla bolsters App with new safety, insurance, and storage features

The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.

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Credit: Tesla

Tesla is bolstering its smartphone App with a series of new features to streamline operations for owners. The new additions include fixes to safety, its in-house insurance offering, and storage management for Dashcam clips.

The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.

But in classic Tesla fashion, the company is aiming to improve the offerings of the app, and it is doing so with a handful of new features. They were first discovered by Tesla App Updates.

Tesla Insurance – Safety Score 3.0

This is truly part of the Spring 2026 Update, but Tesla has now given more transparency on how FSD has saved people money on their premiums.

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Tesla intertwines FSD with in-house Insurance for attractive incentive

Additionally, Tesla is now automatically awarding a Safety Score of 100 for every mile traveled on Full Self-Driving (Supervised).

Update Tracking

Updates traditionally appear on the App or on the Center Touchscreen in the car. There is nothing better than seeing that Green Arrow at the top of the screen, or opening your app and seeing that there is a Software Update available.

Now, there will be no need to manually check the app and initiate the download. Tesla is enabling a new feature that will automatically download updates for you.

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Storage Management

Your USB drive can now be remotely formatted, and old Dashcam clips can be deleted straight from the phone. When you record a lot of things using the Dashcam feature, that storage fills up pretty quickly.

Now, manually deleting the Dashcam videos is easier than ever.

Trailer Light Test

This is perhaps the coolest and most crucial addition to the Tesla App, as those who tow and haul will now be able to trigger a diagnostic light sequence from the app while standing behind your trailer to ensure the brake lights work.

Verifying your trailer lights are connected properly and operating normally and as intended is normally a massive hassle.

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Now, a new trigger will be available to initiate a diagnostic light sequence directly from your phone.

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