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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.
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Tesla announces major milestone at Gigafactory Shanghai
First deliveries started in December 2019, with the first units being given to employees. By the end of 2020, the plant was building cars at a run rate of around 150,000 vehicles annually.
Tesla has announced a major milestone at its Chinese manufacturing facility, Gigafactory Shanghai, confirming on Monday that it had built its four millionth vehicle.
Tesla Gigafactory Shanghai first started building cars back in October 2019 with Model 3 assembly, just ten months after the company broke ground on the plant’s 86-hectare piece of land.
First deliveries started in December 2019, with the first units being given to employees. By the end of 2020, the plant was building cars at a run rate of around 150,000 vehicles annually. Production continued to ramp up, and by September 2023, less than three years after it started building Tesla’s EVs, it had built its two millionth vehicle.
Fast forward to December 2025, and Tesla has confirmed that four million cars have rolled off of production lines at the plant, a major milestone in the six short years it has been active:
Produced our 4 millionth vehicle at Gigafactory Shanghai🎉
Thanks to all our owners and supporters❤️ pic.twitter.com/DayVXUr220— Tesla Asia (@Tesla_Asia) December 8, 2025
The capacity at Giga Shanghai is exceeding 950,000 vehicles per year, and this year, the company has delivered 675,000 cars through the first three quarters. It is also the only plant to manufacture the Model Y L, a longer wheel-based configuration of the all-electric crossover that is exclusive to the Chinese market.
Gigafactory Shanghai’s four million cars have not all stayed within the domestic market, either. For a considerable period, the factory was exporting a significant portion of its monthly production to Europe, helping Gigafactory Berlin supplement some Model Y volume and all of its Model 3 deliveries. This is due to the Berlin plant’s exclusive production plans for the Model 3.
The site is one of the most crucial in the company’s global plans, and Gigafactory Shanghai’s incredible pace, which has led to four million production units in just about six years. It’s fair to say that it won’t be long until we’re seeing Tesla celebrate the plant’s five millionth vehicle produced, which should happen sometime late next year or in early 2027, based on its current manufacturing pace.
The company also builds the Megapack on the property in an adjacent Megafactory.
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Tesla gamifies Supercharging with new ‘Charging Passport’
It will also include things like badges for special charging spots, among other metrics that will show all of the different places people have traveled to plug in for range.
Tesla is gamifying its Supercharging experience by offering a new “Charging Passport,” hoping to add a new layer to the ownership experience.
While it is not part of the Holiday Update, it is rolling out around the same time and offers a handful of cool new features.
Tesla’s Charging Passport will be available within the smartphone app and will give a yearly summary of your charging experience, helping encapsulate your travel for that year.
It will also include things like badges for special charging spots, among other metrics that will show all of the different places people have traveled to plug in for range.
Tesla has just introduced “Charging Passport,” a new yearly summary of your charging.
• Charging badges: Iconic Charging badge (for visiting places like the Tesla Diner, Oasis Supercharger, etc), Explorer badge, green saver badge, etc.
• Total unique Superchargers visited
•… pic.twitter.com/c1DHTWXpj7— Sawyer Merritt (@SawyerMerritt) December 8, 2025
Tesla will include the following metrics within the new Charging Passport option within the Tesla app:
- Charging badges: Iconic charging badges for visiting places like the Tesla Diner, Oasis Supercharger, etc., Explorer Badge, and more
- Total Unique Superchargers Visited
- Total Charging Sessions
- Total Miles Added during Charging Sessions
- Top Charging Day
- Longest Trip
- Favorite Charging Locations
This will give people a unique way to see their travels throughout the year, and although it is not necessarily something that is needed or adds any genuine value, it is something that many owners will like to look back on. After all, things like Spotify Wrapped and Apple Music Replay have been a great way for people to see what music they listened to throughout the year.
This is essentially Tesla’s version of that.
With a handful of unique Superchargers already active, Tesla is also building some new ones, like a UFO-inspired location in New Mexico, near Roswell.
Tesla is building a new UFO-inspired Supercharger in the heart of Alien country
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Tesla launches its coolest gift idea ever just a few weeks after it was announced
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention.”
Tesla has launched its coolest gift idea ever, just a few weeks after it was announced.
Tesla is now giving owners the opportunity to gift Full Self-Driving for one month to friends or family through a new gifting program that was suggested to the company last month.
The program will enable people to send a fellow Tesla owner one month of the company’s semi-autonomous driving software, helping them to experience the Full Self-Driving suite and potentially help Tesla gain them as a subscriber of the program, or even an outright purchase.
Tesla is going to allow owners to purchase an FSD Subscription for another owner for different month options
You’ll be able to gift FSD to someone! https://t.co/V29dhf5URj
— TESLARATI (@Teslarati) November 3, 2025
Tesla has officially launched the program on its Shop. Sending one month of Full Self-Driving costs $112:
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention. All sales are final. Can only be purchased and redeemed in the U.S. This gift card is valued at $112.00 and is intended to cover the price of one month of FSD (Supervised), including up to 13% sales tax. It is not guaranteed to cover the full monthly price if pricing or tax rates change. This gift card can be stored in Tesla Wallet and redeemed toward FSD (Supervised) or any other Tesla product or service that accepts gift card payments.”
Tesla has done a great job of expanding Full Self-Driving access over the past few years, especially by offering things like the Subscription program, free trials through referrals, and now this gift card program.
Gifting Full Self-Driving is another iteration of Tesla’s “butts in seats” strategy, which is its belief that it can flip consumers to its vehicles and products by simply letting people experience them.
There is also a reason behind pushing Full Self-Driving so hard, and it has to do with CEO Elon Musk’s compensation package. One tranche requires Musk to achieve a certain number of active paid Full Self-Driving subscriptions.
More people who try the suite are likely to pay for it over the long term.
Tesla announces major milestone at Gigafactory Shanghai
Tesla gamifies Supercharging with new ‘Charging Passport’
