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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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Tesla owners propose interesting theory about Apple CarPlay and EV tax credit

“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.

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Credit: Tesla Raj/YouTube

Tesla is reportedly bracing for the integration of Apple’s well-known iOS automotive platform, CarPlay, into its vehicles after the company had avoided it for years.

However, now that it’s here, owners are more than clear that they do not want it, and they have their theories about why it’s on its way. Some believe it might have to do with the EV tax credit, or rather, the loss of it.

Owners are more interested in why Tesla is doing this now, especially considering that so many have been outspoken about the fact that they would not use it in favor of the company’s user interface (UI), which is extremely well done.

After Bloomberg reported that Tesla was working on Apple CarPlay integration, the reactions immediately started pouring in. From my perspective, having used both Apple CarPlay in two previous vehicles and going to Tesla’s in-house UI in my Model Y, both platforms definitely have their advantages.

However, Tesla’s UI just works with its vehicles, as it is intuitive and well-engineered for its cars specifically. Apple CarPlay was always good, but it was buggy at times, which could be attributed to the vehicle and not the software, and not as user-friendly, but that is subjective.

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Nevertheless, upon the release of Bloomberg’s report, people immediately challenged the need for it:

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Some fans proposed an interesting point: What if Tesla is using CarPlay as a counter to losing the $7,500 EV tax credit? Perhaps it is an interesting way to attract customers who have not owned a Tesla before but are more interested in having a vehicle equipped with CarPlay?

“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.

Tesla has made a handful of moves to attract people to its cars after losing the tax credit. This could be a small but potentially mighty strategy that will pull some carbuyers to Tesla, especially now that the Apple CarPlay box is checked.

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Ron Baron states Tesla and SpaceX are lifetime investments

Baron, one of Tesla’s longest-standing bulls, reiterated that his personal stake in the company remains fully intact even as volatility pressures the broader market.

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Credit: @TeslaLarry/X

Billionaire investor Ron Baron says he isn’t touching a single share of his personal Tesla holdings despite the recent selloff in the tech sector. Baron, one of Tesla’s longest-standing bulls, reiterated that his personal stake in the company remains fully intact even as volatility pressures the broader market.

Baron doubles down on Tesla

Speaking on CNBC’s Squawk Box, Baron stated that he is largely unfazed by the market downturn, describing his approach during the selloff as simply “looking” for opportunities. He emphasized that Tesla remains the centerpiece of his long-term strategy, recalling that although Baron Funds once sold 30% of its Tesla position due to client pressure, he personally refused to trim any of his personal holdings.

“We sold 30% for clients. I did not sell personally a single share,” he said. Baron’s exposure highlighted this stance, stating that roughly 40% of his personal net worth is invested in Tesla alone. The legendary investor stated that he has already made about $8 billion from Tesla from an investment of $400 million when he started, and believes that figure could rise fivefold over the next decade as the company scales its technology, manufacturing, and autonomy roadmap.

A lifelong investment

Baron’s commitment extends beyond Tesla. He stated that he also holds about 25% of his personal wealth in SpaceX and another 35% in Baron mutual funds, creating a highly concentrated portfolio built around Elon Musk–led companies. During the interview, Baron revisited a decades-old promise he made to his fund’s board when he sought approval to invest in publicly traded companies.

“I told the board, ‘If you let me invest a certain amount of money, then I will promise that I won’t sell any of my stock. I will be the last person out of the stock,’” he said. “I will not sell a single share of my shares until my clients sold 100% of their shares. … And I don’t expect to sell in my lifetime Tesla or SpaceX.”

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Watch Ron Baron’s CNBC interview below.

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Tesla CEO Elon Musk responds to Waymo’s 2,500-fleet milestone

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service.

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Credit: Tesla

Elon Musk reacted sharply to Waymo’s latest milestone after the autonomous driving company revealed its fleet had grown to 2,500 robotaxis across five major U.S. regions. 

As per Musk, the milestone is notable, but the numbers could still be improved.

“Rookie numbers”

Waymo disclosed that its current robotaxi fleet includes 1,000 vehicles in the San Francisco Bay Area, 700 in Los Angeles, 500 in Phoenix, 200 in Austin, and 100 in Atlanta, bringing the total to 2,500 units. 

When industry watcher Sawyer Merritt shared the numbers on X, Musk replied with a two-word jab: “Rookie numbers,” he wrote in a post on X, highlighting Tesla’s intention to challenge and overtake Waymo’s scale with its own Robotaxi fleet.

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service. During the third quarter earnings call, he confirmed that the company expects to remove safety drivers from large parts of Austin by year-end, marking the biggest operational step forward for Tesla’s autonomous program to date.

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Tesla targets major Robotaxi expansions

Tesla’s Robotaxi pilot remains in its early phases, but Musk recently revealed that major deployments are coming soon. During his appearance on the All-In podcast, Musk said Tesla is pushing to scale its autonomous fleet to 1,000 cars in the Bay Area and 500 cars in Austin by the end of the year.

“We’re scaling up the number of cars to, what happens if you have a thousand cars? Probably we’ll have a thousand cars or more in the Bay Area by the end of this year, probably 500 or more in the greater Austin area,” Musk said.

With just two months left in Q4 2025, Tesla’s autonomous driving teams will face a compressed timeline to hit those targets. Musk, however, has maintained that Robotaxi growth is central to Tesla’s valuation and long-term competitiveness.

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