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.
Elon Musk
Trump’s invite for Elon just reshuffled Tesla’s big Signature Delivery Event
Tesla rescheduled its final Model S farewell to May 20 after Musk joined Trump in China.
Tesla has rescheduled its Model S and Model X Signature Edition delivery event to Wednesday, May 20, 2026, after abruptly calling off the original May 12 celebration. The event will take place at Tesla’s factory at 45500 Fremont Boulevard in Fremont, California, the same location where the Model S first rolled off the line in 2012. Invitees received a follow-up email asking them to reconfirm attendance and download a new QR code ticket, with Tesla noting that all travel and accommodation expenses remain the buyer’s responsibility.
The reason behind the original cancellation came into focus the same day it was announced. President Trump invited Elon Musk, Apple’s Tim Cook, BlackRock’s Larry Fink, Boeing’s Kelly Ortberg, and executives from Goldman Sachs, Blackstone, Citigroup, and Meta to join his trip to China this week for a summit with President Xi Jinping. The agenda covers trade, artificial intelligence, export controls, Taiwan, and the Iran war, following weeks of escalating friction between Washington and Beijing over AI technology, sanctions, and rare earth exports. Trump wrote on Truth Social, “I am very much looking forward to my trip to China, an amazing Country, with a Leader, President Xi, respected by all.”
Tesla launches 200mph Model S “Gold” Signature in invite-only purchase
The vehicles at the center of all this are the last Model S and Model X units Tesla will ever build. Priced at $159,420 each, the 250 Model S and 100 Model X Signature Edition units come finished in Garnet Red with a one-year no-resale agreement, giving Tesla right of first refusal if the owner decides to sell. As Teslarati reported, the Model S defined Tesla’s early identity as a serious luxury automaker, and the Fremont factory line that built it is now being converted to manufacture Optimus humanoid robots.
Musk’s inclusion in the China delegation drew attention given his very public relationship with Trump, and the invitation signals the two have moved past and past grievances. Trump originally brought Musk on to lead the Department of Government Efficiency following his inauguration, and despite a sharp public dispute in mid-2025, the two have appeared together repeatedly in recent months. A seat on the China trip, the most diplomatically consequential visit of Trump’s current term, puts Musk back at the table on U.S. economic policy at a moment when Tesla’s China revenue remains one of the company’s most important financial pillars.
Tesla has launched a new solution to a rare but relevant Supercharger problem with a new Virtual Waitlist, a remedy that will solve sequencing confusion when there is a line to charge at one of the company’s locations.
Teslarati reported on what we called the Virtual Queue last month. In rare occurrences, there were physical altercations at Superchargers when someone might have cut in line to charge. Tesla started to develop some sort of system that would resolve this issue, and now it is finally rolling it out.
Tesla launches solution to end Supercharger fights once and for all
It will start with a Pilot Program, and Tesla is calling it the ‘Waitlist.’
Announced on May 11 on the official TeslaCharging X account, the pilot program is currently active at sites in Los Gatos, Mountain View, and San Francisco in California, as well as San Jose, CA, and the Bronx, NY (East Gun Hill Road). Drivers are encouraged to share feedback directly through the Tesla app to refine the system before a potential broader rollout.
We’re now testing a new waitlist feature at 5 Supercharger sites. Share feedback through the Tesla app to help us make it better.
– Los Gatos, CA – Los Gatos Boulevard
– Mountain View, CA – El Monte Avenue
– San Francisco, CA – Lombard Street
– San Jose, CA – Saratoga Avenue
-… pic.twitter.com/epTVzpJxgW— Tesla Charging (@TeslaCharging) May 11, 2026
Tesla released the video above to showcase the feature, which automatically joins the waitlist when your vehicle has the Supercharger with the wait as the destination in the navigation. There is also a notification that lets you know your place in line.
In this specific example, the video shows that the wait is less than five minutes, and that there are two cars ahead of the one in the video:
Credit: Tesla
Having a wait at a Supercharger is relatively rare, but it does happen. It is even more frequent now that there are more EVs allowed to use the Supercharger Network. Those non-Tesla EVs can also join the queue, as Tesla added in its social media release of the pilot program that they can join the waitlist using the Tesla app.
The release of this program should help alleviate the rare risk of incidents at Superchargers. Tesla will expand this program as it sees fit, and it gathers valuable data and reviews from users.
Investor's Corner
Tesla Optimus is already benefiting investors, top Wall Street firm says
Piper Sandler has updated its detailed valuation model for Tesla (NASDAQ: TSLA), concluding that at recent share prices around $400–$420, investors are essentially acquiring the company’s ambitious Optimus humanoid robot project at no extra cost.
Tesla Optimus is already benefiting investors from a fiscal standpoint, at least that is what Alexander Potter at Piper Sandler, a top Wall Street firm covering the company, says.
Piper Sandler has updated its detailed valuation model for Tesla (NASDAQ: TSLA), concluding that at recent share prices around $400–$420, investors are essentially acquiring the company’s ambitious Optimus humanoid robot project at no extra cost.
Analyst Alexander Potter, in the firm’s latest “Definitive Guide to Investing in Tesla,” built a comprehensive framework covering 17 separate product lines.
This granular approach values Tesla’s core businesses—including electric vehicles, energy storage, Full Self-Driving (FSD) software, in-house insurance, Supercharging network, and a standalone robotaxi operation—at approximately $400 per share, without assigning any value to Optimus or related inference-as-a-service opportunities.
“At $400/share, we think investors can buy Optimus for ‘free,’” Potter stated in the note. Piper Sandler maintained its Overweight rating on Tesla shares and a $500 price target, which implicitly attributes roughly $100 per share to the robot-related businesses— a figure the analyst views as potentially conservative.
The updated model incorporates elements often overlooked by other sell-side analysts, such as detailed forecasts for Tesla’s insurance operations, Supercharger revenue, and a distinct valuation for the robotaxi business separate from FSD software licensing. It also accounts for Tesla’s 2025 CEO compensation plan for the first time.
Potter acknowledged that his estimates for 2026 and 2027 fall below Wall Street consensus, citing factors like declining deliveries from certain discontinued models and reduced regulatory credit income.
However, he expressed limited concern, noting that traditional vehicle delivery metrics are expected to matter less over time as FSD subscriber growth and robotaxi deployment metrics gain prominence. On Optimus specifically, Potter suggested the humanoid robot program, combined with inference services, “arguably will be worth more than Tesla’s other businesses combined,” though the firm has not yet produced formal long-term forecasts for these segments.
Tesla shares have traded near the $400 range in recent sessions, reflecting ongoing investor focus on the company’s autonomous driving progress and expansion into robotics and AI. The Optimus project remains in early development stages, with Tesla aiming to deploy the robots initially for internal factory tasks before broader commercial applications.
This Piper Sandler analysis highlights the growing emphasis among some investors and analysts on Tesla’s long-term technology platform potential beyond its current automotive and energy businesses.
As with any forward-looking valuation, outcomes will depend on execution timelines, technological breakthroughs, regulatory approvals for autonomous systems, and market adoption of humanoid robotics—areas that carry significant uncertainty and execution risk.
The note underscores a common theme in Tesla coverage: differing views on how to quantify emerging high-growth opportunities like robotics within the company’s overall enterprise value. Investors are advised to consider their own risk tolerance and conduct thorough due diligence regarding these speculative elements.
Trump’s invite for Elon just reshuffled Tesla’s big Signature Delivery Event
Tesla launches its solution to rare but relevant Supercharger problem
