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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.

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.

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 Semi factory is getting a celebration nobody expected

Tesla will inaugurate its Nevada Semi factory September 24, five months after production quietly began ramping.

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Tesla says it will officially inaugurate its new Semi factory in Nevada next month. The Tesla Semi account posted the announcement on X, sharing a graphic titled “Semi Rollout” with a date of September 24. No further details were given about the format of the event or who would attend.

While Tesla’s dedicated Semi plant in Sparks, adjacent to Gigafactory Nevada, opened back in April, with the first trucks rolling off the high volume line on April 29, the timing for the factory inauguration comes at a surprise. The ribbon cutting event five months into production is a break from how Tesla has usually handled its other factories, where the first truck or car off the line typically served as the milestone moment.

The 1.7 million square foot factory was built as part of a $3.6 billion expansion Tesla announced in early 2023, and it shares a site with the battery cell lines that feed the Semi’s structural pack, a decision meant to remove the supply bottleneck that delayed the truck for years. The plant is designed for 50,000 trucks a year at full ramp. Semi program director Dan Priestley has said production “is now ramping” rather than claiming it has reached scale.

Nine years passed between the Semi’s 2017 unveiling and this stage of production, with the truck slipping from an original 2019 target through hand built pilot units for PepsiCo and a slow build out of the Nevada plant. An inauguration event now gives Tesla a stage to talk up that ramp and reset expectations for how many trucks it can begin delivering at scale.

The September date also lines up with the Semi’s next milestone. Tesla confirmed the truck is heading to Europe with a full unveiling at the IAA Transportation trade show in Hannover, Germany, running September 15 through 20. Between the Nevada event and the Hannover reveal, Tesla has roughly a week and a half in September to make the case that the Semi is now a truck being built and sold on two continents rather than tested in a handful of fleets.

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Elon Musk just set a condition that could end Falcon 9 as we know it

Elon Musk says SpaceX will finally retire Falcon 9 once Starship flies reliably every week.

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Elon Musk gave the clearest timeline yet for retiring Falcon 9, SpaceX’s workhorse rocket.

The comment came in a reply on X, where Musk wrote that “once Starship is flying reliably several times per week, it makes sense to shift super scarce SpaceX engineering and production resources to Starship to get launch rate to several times per day, which means winding down Falcon.” He was responding to physicist Casey Handmer, who noted that NASA is reportedly uneasy about SpaceX phasing out Falcon after building what Handmer called the most successful launcher ever, with the fleet nearing 1,000 total launches.


Falcon 9 is still SpaceX’s busiest vehicle by far. The company is on pace for roughly 140 to 145 Falcon flights this year, following 165 in 2025, president Gwynne Shotwell told Time earlier in 2026. She has already said Falcon flights would “tail off” as Starship comes online, while reports indicate that SpaceX has stopped booking new Falcon 9 launches past 2028 and halted production of some expendable Falcon hardware, according to Bloomberg.

It’s worth noting that Musk’s post is a condition, and not a countdown on when Falcon will retire. Starship has not yet flown weekly, let alone daily. Its most recent flight in July ended with a soft splashdown in the Indian Ocean, a milestone Musk pointed to earlier this month when he said the vehicle’s heat shield problem was effectively solved. SpaceX towed that ship to Christmas Island for inspection, and the next flight, Flight 14, is aimed at putting Starship into orbit for the first time. A tower catch attempt for the upper stage has been pushed back to what Musk has called “a few months” away.

SpaceX and a new Trump order that could rewrite the next decade of launches

The gap between Falcon’s role today and Starship’s promised role tomorrow matters most to NASA. Falcon and its Dragon capsule remain the only way the agency rotates astronauts to and from the International Space Station, and Starship is not certified to carry NASA crews. Musk’s post did not address how that handoff would work if Falcon winds down before a crew-rated Starship variant exists. The timing lines up with Musk’s other recent Starship comments. Two days before the Falcon post, he told a different X user that SpaceX is aiming for more than 30 Starship launches a day by 2030, or roughly 10,000 a year, a figure tied to the Trump administration’s new push for higher national launch cadence. Falcon, which took over a decade to reach its first 100 launches, was never built to approach that kind of volume.

For now, Falcon 9 keeps flying at a near-record pace while Starship works to prove it can do the job Musk has already picked out for it.

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Tesla will launch Cybercab on September 3

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Credit: TechOperator | X

Tesla Cybercab is set to launch in Austin, Texas, on September 3, as the company has officially started sending out invitations to a dedicated event it will hold in the city where its headquarters is located.

The Cybercab is Tesla’s dedicated ride-sharing vehicle: it features just two seats and has no steering wheel or pedals. It is aimed at fully autonomous passenger transport, and will operate in the Robotaxi fleet alongside the Tesla Model Y, which has been performing driverless rides for real-world passengers for more than a year.

The launch of the Cybercab marks the next chapter in Tesla’s autonomy story. The company has been developing autonomous transport for years with its Full Self-Driving (Supervised) platform, which is available in any vehicle the company has built with the proper hardware and software capabilities.

Its capabilities vary by hardware and software version, but Tesla says its latest hardware version, known as AI4, can deliver full autonomy. However, future vehicles will operate with even more robust hardware packages, as Tesla will develop AI4.5 and AI5 for even more capability in its vehicles.

Following a report from The Information that surfaced earlier this week, the writing was on the wall that Tesla was set to launch Cybercab in the near term. The report stated Tesla could launch Cybercab as soon as the end of August. Tesla came close and has booked it for September 3.

Tesla Cybercab launch preparations have begun

The big thing with this event being scheduled is not necessarily that Tesla is launching a new vehicle, but instead that it is launching a vehicle that has no steering wheel or pedals and will operate exclusively on a self-driving program that is evidently nearing full autonomy. If the event allows vehicles to take passengers on public roads and drop them off wherever they please within the City of Austin, it will be a drastic advancement in the company’s self-driving story.

People have ridden in Cybercab previously: Tesla had the “We, Robot” event in October 2024, which allowed people to experience fully autonomous rides in a closed circuit at Warner Bros. Studios in Burbank.

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Additionally, Tesla launched employee rides in Cybercab in July.

It’s a drastic step forward for Tesla, whose CEO, Elon Musk, has promised for years that the company would release a fully autonomous vehicle and platform capable of allowing drivers to relinquish any responsibility behind the wheel.

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