News
Google’s DeepMind unit develops AI that predicts 3D layouts from partial images
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.
News
Tesla China focuses on local deliveries as Q1 enters final month
Tesla’s estimated delivery times for all variants of the Model 3 and Model Y in China were listed at just one to three weeks.
Tesla’s delivery wait times in China have dropped to some of their shortest levels in years, an apparent hint that Giga Shanghai has largely cleared its order backlog and currently has strong production capacity.
As of February 26, estimated delivery times for all variants of the Model 3 and Model Y in China were listed at just one to three weeks, as per observations of Tesla China’s official webpages by CNEV Post.
That marks a notable shift from the several-week or even two-month waits seen late last year.
The one-to-three-week delivery window suggests that Giga Shanghai is likely focusing on the local market, at least for now as the company enters the final month of the first quarter. Tesla China typically spends the first half of the quarter catering to markets that import vehicles from Giga Shanghai.
Historically, when Tesla’s wait times in China compress to their shortest levels, the company often follows with fresh market actions.
In past cycles, shortened delivery timelines were followed by promotional activity. After delivery windows narrowed to one to three weeks in early 2024, for example, Tesla later introduced an RMB 10,000 instant discount on Model Y final payments that year.
To spur local demand, Tesla recently extended its seven-year ultra-low-interest and five-year interest-free financing offers through March 31. This marks the second extension of the policy this year.
So far, posts from the Tesla community suggest that interest in the company’s vehicles among consumers in China is still strong. Videos of busy delivery centers across China have been shared on social media.
China’s competitive EV landscape has evolved as of late. With regulators discouraging aggressive price wars, automakers are increasingly leaning on financing incentives instead of direct price cuts. Major players including BYD, NIO, XPeng, and Li Auto have introduced similar loan extensions and promotional financing packages.
Elon Musk
Elon Musk’s The Boring Company closes Tunnel Vision Challenge
The Tunnel Vision Challenge invited individuals, companies, and governments to propose a tunnel project up to one mile long.
Elon Musk’s The Boring Company has officially closed submissions for its Tunnel Vision Challenge, confirming that a total of 487 entries were received before the deadline.
In a post on X, the company wrote, “Tunnel Vision Challenge is closed! 487 entries received – TBC team is excited to go through them all!” The company added that “We will select the top ~15 in the next week, and reach out with follow-up questions,” and that an “overall winner will be announced on March 23.”
The Tunnel Vision Challenge invited individuals, companies, and governments to propose a tunnel project up to one mile long with a 12-foot inner diameter. The winning entry will have its tunnel constructed free of charge.
Submissions could range from Loop passenger tunnels to freight, pedestrian, utility, or water tunnels. The only requirement was that the project clearly demonstrate how tunneling would meaningfully improve transportation or infrastructure between two points.
Just days before the deadline, the company provided an interim update noting that 407 entries had already been received. “Update on the Tunnel Vision Challenge – 1 mile of free tunnel! With 3 days left to submit, 407 entries have been received. Great to see enthusiasm for tunnels!” The Boring Company wrote at the time on X. By the close of submissions, the total had grown closer to 500 entries, hinting at strong interest in underground transportation solutions.
Entries are being evaluated on usefulness, stakeholder engagement, and technical, economic, and regulatory feasibility. Applicants were required to quantify projected benefits, such as time saved per rider or cost savings per shipment, and provide maps showing proposed alignments and other details. Submissions that included geotechnical or subsurface data are expected to receive additional consideration.
The Boring Company will fund the tunnel’s construction itself, though related infrastructure costs may be discussed with the winning team. The company also retains discretion to modify or cancel the challenge.
Cybertruck
Tesla confirms date when new Cybertruck trim will go up in price
Tesla has officially revealed that this price will only be available until February 28, as the company has placed a banner atop the Design Configurator on its website reflecting this.
Tesla has confirmed the date when its newest Cybertruck trim level will increase in price, after CEO Elon Musk noted that the All-Wheel-Drive configuration of the all-electric pickup would only be priced at its near-bargain level for ten days.
Last week, Tesla launched the All-Wheel-Drive configuration of the Cybertruck. Priced at $59,990, the Cybertruck featured many excellent features and has seemingly brought some demand to the pickup, which has been underwhelming in terms of sales figures over the past couple of years.
Tesla launches new Cybertruck trim with more features than ever for a low price
When Tesla launched it, many fans and current owners mulled the possibility of ordering it. However, Musk came out and said just hours after launching the pickup that Tesla would only keep it at the $59,990 price level for ten days.
What it would be priced at subsequently was totally dependent on how much demand Tesla felt for the new trim level, which is labeled as a “Dual Motor All-Wheel-Drive” configuration.
Tesla has officially revealed that this price will only be available until February 28, as the company has placed a banner atop the Design Configurator on its website reflecting this:
NEWS: Tesla has officially announced that the price of the new Cybertruck Dual-Motor AWD will be increasing after February 28th. pic.twitter.com/vZpA521ZwC
— Sawyer Merritt (@SawyerMerritt) February 24, 2026
Many fans and owners have criticized Tesla’s decision to unveil a trim this way, and then price it at something, only to change that price a few days later based on how well it sells.
Awful way to treat customers – particularly when they already sent out a marketing email announcing the $59,990 truck…with zero mention of it being a limited-time offer.
— Ryan McCaffrey (@DMC_Ryan) February 24, 2026
It seems the most ideal increase in price would be somewhere between $5,000 and $10,000, but it truly depends on how many orders Tesla sees for this new trim level. The next step up in configuration is the Premium All-Wheel-Drive, which is priced at $79,990.
The difference between the Dual Motor AWD Cybertruck and the Premium AWD configuration comes down to towing, interior quality, and general features. The base package is only capable of towing up to 7,500 pounds, while the Premium can handle 11,000 pounds. Additionally, the seats in the Premium build are Vegan Leather, while the base trim gets the textile seats.
It also has only 7 speakers compared to the 15 that the Premium trim has. Additionally, the base model does not have an adjustable ride height, although it does have a coil spring with an adaptive damping suspension package.
Tesla China focuses on local deliveries as Q1 enters final month
Elon Musk’s The Boring Company closes Tunnel Vision Challenge
