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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 Giga Berlin dispute against IG Metall union leads to investigation

As per a report from rbb24, police seized a laptop belonging to an IG Metall member at Tesla Giga Berlin on Tuesday afternoon.

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Credit: Tesla Manufacturing/X

German authorities have opened an investigation into an IG Metall union representative following allegations that a confidential works council meeting at Tesla’s Gigafactory Berlin was secretly recorded. The probe follows a criminal complaint filed by Tesla management last week.

As per a report from rbb24, police seized a laptop belonging to an IG Metall member at Tesla Giga Berlin on Tuesday afternoon. Prosecutors in Frankfurt (Oder) confirmed that an investigation is underway into a possible unauthorized audio recording of an internal works council meeting.

Under German law, recording a non-public meeting without consent may constitute a criminal offense.

Tesla stated that Gigafactory Berlin employees alerted management after allegedly discovering that an external union representative, who was attending the event as a guest, had recorded the session. Plant manager André Thierig stated in a post on X that the representative was “caught in action,” prompting the company to contact police and file a criminal complaint.

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The seized device is now part of the investigation, and authorities will determine whether any unlawful recording had indeed occurred.

IG Metall has denied the accusation. In comments to German media, representatives rejected Tesla’s claim and described the electric vehicle maker’s allegation as an election campaign tactic ahead of upcoming works council elections.

The election at Tesla’s Grünheide plant is scheduled for March 2–4, 2026, with about 11,000 employees being eligible to vote. Regular works council elections in Germany are held every four years between March and May.

The incident comes amid tensions between Tesla and organized labor in Germany. While works councils operate independently from unions, IG Metall has been active at the plant and has previously criticized Tesla’s labor practices. Authorities, for their part, have not yet announced whether charges will be filed, though the investigation remains ongoing.

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Tesla rolls out xAI’s Grok to vehicles across Europe

The initial rollout includes the United Kingdom, Ireland, Germany, Switzerland, Austria, Italy, France, Portugal, and Spain.

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Tesla is rolling out Grok to vehicles in Europe. The feature will initially launch in nine European territories.

In a post on X, the official Tesla Europe, Middle East & Africa account confirmed that Grok is coming to Teslas in Europe. The initial rollout includes the United Kingdom, Ireland, Germany, Switzerland, Austria, Italy, France, Portugal, and Spain, and additional markets are expected to be added later.

Grok allows drivers to ask questions using real-time information and interact hands-free while driving. According to Tesla’s support documentation, Grok can also initiate navigation commands, enabling users to search for destinations, discover points of interest, and adjust routes without touching the touchscreen, as per the feature’s official webpage.

The system offers selectable personalities, ranging from “Storyteller” to “Unhinged,” and is activated either through the App Launcher or by pressing and holding the steering wheel’s microphone button.

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Grok is currently available only on Model S, Model 3, Model X, Model Y, and Cybertruck vehicles equipped with an AMD infotainment processor. Vehicles must be running software version 2025.26 or later, with navigation command support requiring version 2025.44.25 or newer.

Drivers must also have Premium Connectivity or a stable Wi-Fi connection to use the feature. Tesla notes that Grok does not currently replace standard voice commands for vehicle controls such as climate or media adjustments.

The company has stated that Grok interactions are processed securely by xAI and are not linked to individual drivers or vehicles. Users do not need a Grok account or subscription to enable the feature at this time as well.

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Tesla ends Full Self-Driving purchase option in the U.S.

In January, Musk announced that Tesla would remove the ability to purchase the suite outright for $8,000. This would give the vehicle Full Self-Driving for its entire lifespan, but Tesla intended to move away from it, for several reasons, one being that a tranche in the CEO’s pay package requires 10 million active subscriptions of FSD.

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Credit: Tesla

Tesla has officially ended the option to purchase the Full Self-Driving suite outright, a move that was announced for the United States market in January by CEO Elon Musk.

The driver assistance suite is now exclusively available in the U.S. as a subscription, which is currently priced at $99 per month.

Tesla moved away from the outright purchase option in an effort to move more people to the subscription program, but there are concerns over its current price and the potential for it to rise.

In January, Musk announced that Tesla would remove the ability to purchase the suite outright for $8,000. This would give the vehicle Full Self-Driving for its entire lifespan, but Tesla intended to move away from it, for several reasons, one being that a tranche in the CEO’s pay package requires 10 million active subscriptions of FSD.

Although Tesla moved back the deadline in other countries, it has now taken effect in the U.S. on Sunday morning. Tesla updated its website to reflect this:

There are still some concerns regarding its price, as $99 per month is not where many consumers are hoping to see the subscription price stay.

Musk has said that as capabilities improve, the price will go up, but it seems unlikely that 10 million drivers will want to pay an extra $100 every month for the capability, even if it is extremely useful.

Instead, many owners and fans of the company are calling for Tesla to offer a different type of pricing platform. This includes a tiered-system that would let owners pick and choose the features they would want for varying prices, or even a daily, weekly, monthly, and annual pricing option, which would incentivize longer-term purchasing.

Although Musk and other Tesla are aware of FSD’s capabilities and state is is worth much more than its current price, there could be some merit in the idea of offering a price for Supervised FSD and another price for Unsupervised FSD when it becomes available.

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