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SpaceX to launch “next-generation satellite-servicing vehicle” for Northrop Grumman
Northrop Grumman subsidiary SpaceLogistics has selected SpaceX to launch its first Mission Robotic Vehicle (MRV) – better described as the company’s “next-generation satellite-servicing” spacecraft.
As far as SpaceX’s Falcon 9 rocket is concerned, MRV-1 is just another geostationary satellite for it to deliver to a transfer orbit around 35,800 kilometers (~22,200 mi) above Earth’s surface as early as “spring 2024.” As of now, SpaceX Falcon rockets have launched more than 35 satellites to geostationary transfer orbits (GTO) and have at least 18 more geostationary launch contracts on its manifest – 19 including MRV-1. MRV-1 is no ordinary geostationary communications satellite, however.
MRV isn’t a communications satellite at all, in fact. Instead, designed to be the second generation of Northrop Grumman’s satellite life-extension spacecraft, MRV aims to build upon the successes of the company’s first two Mission Extension Vehicles (MEVs). The first (MEV-1) became the first spacecraft in history to dock with another spacecraft in geostationary orbit (GEO) in February 2020. The second, MEV-2, successfully launched and docked with a different geostationary communications satellite in 2021. Both MEVs did exactly what they were supposed to, effectively giving their host satellites – Intelsat 10-02 and 901, both more than 15 years old – at least five more years of operational life.
While SpaceLogistics’ accomplishments are thus extremely impressive, the general MEV concept and parts of its execution have some flaws. First, the ‘service’ offered appears to be extremely expensive, costing Intelsat – the first and only customer, thus far – at least $13 million per year for the five years MEV-1 will be servicing Intelsat-901. No other MEV contracts have been confirmed, which is not a major surprise. Assuming zero upfront costs for prospective customers, $65 million for an extra five years of operations represents a substantial fraction of the price of some simpler replacement satellites, many of which are now designed to operate for at least 15 years.
Put simply, at the secretive price point SpaceLogistics is offering, MEVs are a mostly ambiguous financial proposition for the geostationary satellite communications industry, which tends to operate on razor-thin margins. Though SpaceLogistics hasn’t said as much, MRV seems to be a response to the issue of affordability. Instead of building one large, expensive MEV that can only service a single GEO satellite, MRV aims to operate more like a multipurpose space tug.
To complement MRV, Northrop Grumman is also developing Mission Extension Pods (MEPs) – smaller spacecraft designed to still add at least 5-6 years of life to an aging GEO satellite. MRVs – each about 3 tons (~7000 lb) will theoretically be able to carry several MEPs (400 kg/900 lb apiece) into geostationary orbit and install the pods on several different satellites. Additionally, it appears that SpaceLogistics will sell the pods outright, presumably precluding the need for expensive recurring service contracts like those Intelsat signed for MEV life extension.
According to Northrop Grumman, MEPs will actually propel themselves into GEO before being recaptured and installed by MRV – requiring two rendezvous and docking maneuvers per satellite instead of one. It’s entirely unclear why that added complexity is preferable over the obvious alternative, in which MRV would launch with a number of MEPs, carry them to GEO, and install them when needed.
Nonetheless, assuming Northrop Grumman plans to offer MEP life-extension pods for less than it charged for MEVs, it’s not hard to imagine the service becoming a no-brainer for communications providers with satellites that are close to running out of propellant. If the cost of several extra years of operational life is lower than the cost of an equivalent fraction of the lifespan of a new replacement satellite, it’s difficult to imagine how satellite operators could afford not to take advantage of life extension.
Northrop Grumman says it’s already sold one MEP – to launch with MRV-1 on Falcon 9 – to Australian telecom provider Optus and has a full manifest for MEPs “through mid-2026.”
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.
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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”
