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Mercedes EQG spotted completing winter testing
The upcoming Mercedes EQG, the electric variant of the historic G-Class SUV, has been spotted completing winter testing in Germany.
The Mercedes G Class SUV is one of the oldest model names in the automotive industry, and despite its long heritage, it has changed in design and purpose very little. It remains a boxy offroading SUV that offers the driver and passengers unparalleled comfort. As Mercedes electrifies its lineup, the electrified version of the vehicle, the EQG, has been seen testing ahead of a possible launch this year or next.
The Mercedes EQG was spotted in Germany by the car spotting Instagram, @race356:
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The two pictures show a surprisingly uncamouflaged electric G class, identified not only by its electric circuit-themed wrap, but by its lack of tailpipe and covered grill.
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The concept/prototype version of the Mercedes EQG was first revealed in 2021 when the chief designer, Emmerich Schiller, outlined some basic but intriguing technical specifications of the vehicle. Mr. Schiller stated that the vehicle would use a quad-motor all-wheel-drive system paired with a unique ladder frame, an integrated battery, and an intricate 2-speed “transfer case” (for lack of a better term). One central point was made clear by these upgrades; the electric G wagon would not lose its offroading capabilities as it changed its drivetrain.
Other specifications, including pricing, electric range, and more, have not yet been made public by Mercedes, but they may be predicted with reasonable estimates.
The upcoming electric Mercedes should obviously not be expected to come in at a budget-friendly starting price. The gas version of the Mercedes G Class starts at an eye-watering $139,900. Considering the price of other electric models has closely mimicked similar Mercedes gas offerings, it would be surprising to see the vehicle start for less than $140,000.
Considering the range of options and trims that Mercedes makes available, including AMG variants, a Mercedes EQG could be priced from the low $140,000 range to close to $200,000 for a top-trim AMG version.
In terms of performance specifications, it should be noted that Mercedes’ next-gen EV platform is just around the corner. Mercedes has promised better motor efficiency, higher battery density, and improved performance specifications with the new platform. Nonetheless, you can still get a good idea of the minimum specifications by using the specifications of the parts available today.
If Mercedes used parts from the EQS SUV, the EQG would be fitted with a 107.8kWh battery. This battery, which gives the EQS SUV a range of 305 miles, would likely be strained in the larger, more powerful, and far less aerodynamic EQG. Hence, even if the EQG saw a modest 20% drop in efficiency compared to the EQS SUV, it would only be capable of a range between 200 and 250 miles.
Regarding its output numbers, considering the vehicle uses four motors, the EQG could produce between 1000 and 1400 cumulative horsepower and between 1200 and 1600 pound-feet of torque if it used motors found within the EQS SUV.
Despite the German luxury brand’s numerous videos on the EQG concept, the company has not yet clarified when the vehicle will be launched. Yet with the company completing testing on what is no longer a first-gen prototype vehicle, many anticipate that the vehicle could be revealed in production form later this year or next.
Luckily, due to America’s never-ending demand for SUVs over the past few years, Mercedes is more incentivized than ever to release the vehicle as quickly as possible. Hopefully, this demand, compounded with the company’s drive towards electrification, will mean the historic G wagon becomes electric sooner rather than later.
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Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
