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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 β 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.Β
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.
Tesla is dominating in the United Kingdom so far through 2025, and with about two weeks left in the year, the Model Y and Model 3 are leading the way.
The Model Y and Model 3 are the two best-selling electric vehicles in the United Kingdom, which is comprised of England, Scotland, Wales, and Northern Ireland, and it’s not particularly close.
According to data gathered byΒ EU-EVs, the Model Y is sitting at 18,890 units for the year, while the Model 3 is slightly behind with 16,361 sales for the year so far.
The next best-selling EV is the Audi Q4 e-tron at 10,287 units, lagging significantly behind but ahead of other models like the BMW i4 and the Audi Q6 e-tron.
GOOD NEWS π¬π§ Tesla is absolutely crushing the UK electric vehicle market in 2025 π₯
The numbers are in, and the dominance is clear. With an impressive amount of 42,270 vehicles delivered year-to-date, the brand now commands a solid 9.6% market share of the total auto market πβ¦ pic.twitter.com/dkiGX9kzd0
β Ming (@tslaming) December 18, 2025
The Model Y has tasted significant success in the global market, but it has dominated in large markets like Europe and the United States.
For years, it’s been a car that has fit the bill of exactly what consumers need: a perfect combination of luxury, space, and sustainability.
Both vehicles are going to see decreases in sales compared to 2024; the Model Y was the best-selling car last year, but it sold 32,610 units in the UK. Meanwhile, the Model 3 had reached 17,272 units, which will keep it right on par with last year.
Tesla sold 50,090 units in the market last year, and it’s about 8,000 units shy of last year’s pace. It also had a stronger market share last year with 13.2 percent of the sales in the market. With two weeks left in 2025, Tesla has a 9.6 percent market share, leading Volkswagen with 8 percent.
The company likely felt some impact from CEO Elon Musk’s involvement with the Trump administration and, more specifically, his role with DOGE. However, it is worth mentioning that some months saw stronger consumer demand than others. For example, sales were up over 20 percent in February. A 14 percent increase followed this in June.
News
Tesla Insurance officially expands to new U.S. state
Tesla’s in-house Insurance program first launched back in late 2019, offering a new way to insure the vehicles that was potentially less expensive and could alleviate a lot of the issues people had with claims, as the company could assess and repair the damage itself.
Tesla Insurance has officially expanded to a new U.S. state, its thirteenth since its launch in 2019.
Tesla has confirmed that its in-house Insurance program has officially made its way to Florida, just two months after the company filed to update its Private Passenger Auto program in the state. It had tried to offer its insurance program to drivers in the state back in 2022, but its launch did not happen.
Instead, Tesla refiled the paperwork back in mid-October, which essentially was the move toward initiating the offering this month.
BREAKING: Tesla Insurance has just officially launched in Florida.
This is the first new state to receive @Tesla Insurance in more than 3 years. In total, Tesla insurance is now available in 13 U.S. states (map in thread below of all the states).
Tesla Insurance in Florida uses⦠pic.twitter.com/bDwh1IV6gD
β Sawyer Merritt (@SawyerMerritt) December 17, 2025
Tesla’s in-house Insurance program first launched back in late 2019, offering a new way to insure the vehicles that was potentially less expensive and could alleviate a lot of the issues people had with claims, as the company could assess and repair the damage itself.
It has expanded to new states since 2019, but Florida presents a particularly interesting challenge for Tesla, as the company’s entry into the state is particularly noteworthy given its unique insurance landscape, characterized by high premiums due to frequent natural disasters, dense traffic, and a no-fault system.
Annual average premiums for Florida drivers hover around $4,000 per year, well above the national average. Tesla’s insurance program could disrupt this, especially for EV enthusiasts. The state’s growing EV adoption, fueled by incentives and infrastructure development, aligns perfectly with Tesla’s ecosystem.
Moreover, there are more ways to have cars repaired, and features like comprehensive coverage for battery damage and roadside assistance tailored to EVs address those common painpoints that owners have.
However, there are some challenges that still remain. Florida’s susceptibility to hurricanes raises questions about how Tesla will handle claims during disasters.
Looking ahead, Tesla’s expansion of its insurance program signals the company’s ambition to continue vertically integrating its services, including coverage of its vehicles. Reducing dependency on third-party insurers only makes things simpler for the company’s automotive division, as well as for its customers.
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Tesla Full Self-Driving gets sparkling review from South Korean politician
“Having already ridden in an unmanned robotaxi, the novelty wasnβt as strong for me, but it drives just as well as most people do. It already feels like a completed technology, which gives me a lot to think about.”
Tesla Full Self-Driving got its first sparkling review from South Korean politician Lee So-young, a member of the country’s National Assembly, earlier this week.
Lee is a member of the Strategy and Finance Committee in South Korea and is a proponent of sustainable technologies and their applications in both residential and commercial settings. For the first time, Lee was able to utilize Tesla’s Full Self-Driving technology as it launched in the country in late November.
Her thoughts on the suite were complimentary to the suite, stating that “it drives just as well as most people do,” and that “it already feels like a completed technology.”
λλμ΄ μ€λ, μμΈμμ ν μ¬λΌ FSD 체ν νμ΅λλ€.
JiDal Papaλμ λͺ¨λΈS νμ°¬μ νμ μ΄^^ ννλ μ λ§ κ°μ¬ν©λλ€.
κ΅ν -> λ§μμμ₯ -> νμ΅λ -> κ΅ν λ³΅κ· μ½μ€μκ³ μ.
μ΄λ―Έ λ¬΄μΈ λ‘보νμλ₯Ό νλ΄μ κ·Έλ°μ§ μ κΈ°ν¨μ
λνμ§λ§, μ¬λ§ν μ¬λλ§νΌ μ΄μ μ μνλ€μ.μ΄λ―Έ μμ±λ κΈ°μ μ΄λΌκ³ β¦ pic.twitter.com/8pAidHBpRG
β μ΄μμ κ΅νμμ (Soyoung Lee) (@im_soyounglee) December 17, 2025
Her translated post says:
“Finally, today I got to experience Tesla FSD in Seoul. Thanks to the Model S sponsored by JiDal Papa^^, Iβm truly grateful to Papa. The route was from the National Assembly -> Mangwon Market -> Hongik University -> back to the National Assembly. Having already ridden in an unmanned robotaxi, the novelty wasnβt as strong for me, but it drives just as well as most people do. It already feels like a completed technology, which gives me a lot to think about. Once it actually spreads into widespread use, I feel like our daily lives are going to change a lot. Even I, with my license gathering dust in a drawer, donβt see much reason to learn to drive a manual anymore.”
Tesla Full Self-Driving officially landed in South Korea in late November, with the initial launch being one of Tesla’s most recent, v14.1.4.
It marked the seventh country in which Tesla was able to enable the driver assistance suite, following the United States, Puerto Rico, Canada, China, Mexico, Australia, and New Zealand.
It is important to see politicians and figures in power try new technologies, especially ones that are widely popular in other regions of the world and could potentially revolutionize how people travel globally.
Tesla dominates in the UK with Model Y and Model 3 leading the way
Tesla Insurance officially expands to new U.S. state
