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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.

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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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Elon Musk is now a remote DOGE worker: White House Chief of Staff

The Tesla and SpaceX CEO Elon Musk is no longer working from the West Wing.

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Credit: Elon Musk/X

In a conversation with the New York Post, White House Chief of Staff Susie Wiles stated that Tesla and SpaceX CEO Elon Musk is no longer working from the West Wing.

As per the Chief of Staff, Musk is still working for DOGE—as a remote worker, at least.

Remote Musk

In her conversation with the publication, Wiles stated that she still talks with Musk. And while the CEO is now working remotely, his contributions still have the same net effect. 

“Instead of meeting with him in person, I’m talking to him on the phone, but it’s the same net effect,” Wiles stated, adding that “it really doesn’t matter much” that the CEO “hasn’t been here physically.” She also noted that Musk’s team will not be leaving.

“He’s not out of it altogether. He’s just not physically present as much as he was. The people that are doing this work are here doing good things and paying attention to the details. He’ll be stepping back a little, but he’s certainly not abandoning it. And his people are definitely not,” Wiles stated.

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Back to Tesla

Musk has been a frequent presence in the White House during the Trump administration’s first 100 days in office. But during the Q1 2025 Tesla earnings call, Musk stated that he would be spending substantially less time with DOGE and substantially more time with Tesla. Musk did emphasize, however, that DOGE’s work is extremely valuable and critical.

“I think I’ll continue to spend a day or two per week on government matters for as long as the President would like me to do so and as long as it is useful. But starting next month, I’ll be allocating probably more of my time to Tesla and now that the major work of establishing the Department of Government Efficiency is done,” Musk stated.

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Tariff reprieve might be ‘Tesla-friendly,’ but it’s also an encouragement to others

Tesla stands to benefit from the tariff reprieve, but it has some work cut out for it as well.

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tesla employee
(Photo: Tesla)

After Secretary of Commerce Howard Lutnick made adjustments to the automotive tariff program that was initially announced, many quickly pointed to the reprieve as “Tesla-friendly.”

While that may be the case right now, it was also a nudge of encouragement to other companies, Tesla included, to source parts from the U.S. in an effort to strengthen domestic manufacturing. Many companies are close, and it will only take a handful of improvements to save themselves from tariffs on their cars as well.

Yesterday, Sec. Lutnick confirmed that cars manufactured with at least 85 percent of domestic content will face zero tariffs. Additionally, U.S. automakers would receive credit up to 15 percent of the value of vehicles to offset the cost of imported parts.

Big Tesla win? Sec Lutnick says cars with 85% domestic content will face zero tariffs

“This is ‘finish your cars in America and you win’,” Lutnick said.

Many were quick to point out that only three vehicles currently qualify for this zero-tariff threshold: all three are Teslas.

However, according to Kelley Blue Book’s most recent study that revealed who makes the most American cars, there are a lot of vehicles that are extremely close to also qualifying for these tariff reductions.

Tesla has three vehicles that are within five percent, while Ford, Honda, Jeep, Chevrolet, GMC, and Volkswagen have many within just ten percent of the threshold.

Tesla completely dominates Kogod School’s 2024 Made in America Auto Index

It is within reach for many.

Right now, it is easy to see why some people might think this is a benefit for Tesla and Tesla only.

But it’s not, because Tesla has its Cybertruck, Model S, and Model X just a few percentage points outside of that 85 percent cutoff. They, too, will feel the effects of the broader strategy that the Trump administration is using to prioritize domestic manufacturing and employment. More building in America means more jobs for Americans.

Credit: Tesla

However, other companies that are very close to the 85 percent cutoff are only a few components away from also saving themselves the hassle of the tariffs.

Ford has the following vehicles within just five percent of the 85 percent threshold:

  • Ford Mustang GT automatic (80%)
  • Ford Mustang GT 5.0 (80%)
  • Ford Mustang GT Coupe Premium (80%)

Honda has several within ten percent:

  • Honda Passport All-Wheel-Drive (76.5%)
  • Honda Passport Trailsport (76.5)

Jeep has two cars:

  • Jeep Wrangler Rubicon (76%)
  • Jeep Wrangler Sahara (76%)

Volkswagen has one with the ID.4 AWD 82-kWh (75.5%). GMC has two at 75.5% with the Canyon AT4 Crew Cab 4WD and the Canyon Denali Crew Cab 4WD.

Chevrolet has several:

  • Chevrolet Colorado 2.7-liter (75.5%)
  • Chevrolet Colorado LT Crew Cab 2WD 2.7-liter (75.5%)
  • Chevrolet Colorado Z71 Crew Cab 4WD 2.7-liter (75.5%)

These companies are close to reaching the 85% threshold, but adjustments need to be made to work toward that number.

Anything from seats to fabric to glass can be swapped out for American-made products, making these cars more domestically sourced and thus qualifying them for the zero-tariff boundary.

Frank DuBois of American University said that manufacturers like to see stability in their relationships with suppliers and major trade partners. He said that Trump’s tariff plan could cause “a period of real instability,” but it will only be temporary.

Now is the time to push American manufacturing forward, solidifying a future with more U.S.-made vehicles and creating more domestic jobs. Tesla will also need to scramble to make adjustments to its vehicles that are below 85%.

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Tesla Cybertruck RWD production in full swing at Giga Texas

Videos of several freshly produced Cybertruck LR RWD units were shared on social media platform X.

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Credit: Joe Tegtmeyer/X

It appears that Tesla is indeed ramping the production of the Cybertruck Long Range Rear Wheel Drive (LR RWD), the most affordable variant of the brutalist all-electric pickup truck.

Videos of several freshly produced Cybertruck LR RWD units were shared on social media platform X.

Giga Texas Footage

As per longtime Tesla watcher Joe Tegtmeyer, Giga, Texas, was a hotbed of activity when he conducted his recent drone flyover. Apart from what seemed to be Cybercab castings being gathered in the complex, a good number of Cybertruck LR RWD units could also be seen in the facility’s staging area. The Cybertruck LR RWD units are quite easy to spot since they are not equipped with the motorized tonneau cover that is standard on the Cybertruck AWD and Cyberbeast.

The presence of the Cybertruck LR RWD units in Giga Texas’ staging area suggests that Tesla is ramping the production of the base all-electric pickup truck. This bodes well for the vehicle, which is still premium priced despite missing a good number of features that are standard in the Cybertruck AWD and Cyberbeast.

Cybertruck Long Range RWD Specs

The Cybertruck LR RWD is priced at $69,990 before incentives, making it $10,000 more affordable than the Cybertruck AWD. For its price, the Cybertruck Long Range RWD offers a range of 350 miles per charge if equipped with its 18” standard Wheels. It can also add up to 147 miles of range in 15 minutes using a Tesla Supercharger.

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Much of the cost-cutting measures taken by Tesla are evident in the cabin of the Cybertruck LR RWD. This could be seen in its textile seats, standard console, seven-speaker audio system with no active noise cancellation, and lack of a 9.4” second-row display. It is also missing the motorized tonneau cover, the 2x 120V and 1x 240V power outlets on the bed, and the 2x 120V power outlets in the cabin. It is also equipped with an adaptive coil spring suspension instead of the adaptive air suspension in the Cybertruck AWD and Cyberbeast.

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