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SpaceX to launch Varda Space’s first Rocket Lab-derived ‘space factory’ satellite
Startup Varda Space says it has contracted with SpaceX to launch its first satellite – based on a Rocket Lab bus called Photon – on a Falcon 9 rideshare mission in early 2023.
Founded in late 2020, Varda Space says its mission “is to build the first space factory” – or, to be more precise, the first all-in-one space factory. While far from the commercial orbital laboratory many at NASA would like to paint it as, the joint NASA-Russia International Space Station (ISS) routinely hosts payloads from paying customers, some of which are focused on manufacturing (albeit at an absurdly low volume) materials that can only be made in microgravity (i.e. ‘zero-G’). The products those experiments or miniature factories produce are then returned to Earth on one of SpaceX’s Dragons – still the only spacecraft in existence capable of delivering large amounts of cargo from space to Earth more than a decade after its debut.
This is to say that orbital manufacturing is not exactly a new practice and has been ongoing – at a very, very small scale – for years through companies like Made In Space. What Varda Space wants to do, then, is repeat – and, nominally, expand that ISS-proven model. Rather than launching small experiments or mini-factories to the ISS, where a captive ISS crew is often available to troubleshoot or help maintain them, Varda wants to build its own small satellites with tiny reentry capsules capable of returning up to 100 kg (~220 lb) to Earth.
Two months after the company announced it had raised more than $53 million in funding, Varda Space now says that it will launch the first of its custom-built “space factories” on a Falcon 9 rideshare mission in Q1 2023. In August, Varda revealed that it had contracted with small launch company Rocket Lab to purchase three of its Photon satellite buses – each to serve as a sort of mothership for each Varda-built reentry capsule. Based on Rocket Lab’s successful Electron rocket kick stage, Photon adds solar panels, batteries, avionics, more propellant, and optional propulsion upgrades to create an off-the-shelf satellite bus capable of supporting and powering onboard payloads.
Instead of having to build and qualify their own satellites, Photon thus gives certain customers the opportunity to focus their time and resources on developing the payloads they want to deploy and services they want to operate. No need to reinvent the wheel, in other words. Varda Space appears to be the first company intent on fully taking advantage of that opportunity – and to great effect given that the startup has raised more than $50M less than a year after it was founded.
Additionally, with its SpaceX launch contract, Varda Space has also effectively revealed that Rocket Lab has no clause preventing Photon customers from launching their procured satellite buses on rockets not built by Rocket Lab. While dedicated small satellite launchers like Rocket Lab’s Electron offer some benefits, they do so at a huge premium. While an Electron launch carrying 200 kg (440 lb) to a sun-synchronous orbit (SSO) is believed to cost around $7.5M, a slot on a SpaceX rideshare to a similar (but not as perfectly tailored) orbit would cost the same customer about $1M – practically a magnitude cheaper.
Rocket Lab’s Photon likely costs just a few million dollars and comes by default with a propulsion system capable of refining the spacecraft’s orbit after a one-size-fits-all rideshare launch. That means that manifest a Photon-based satellite on a SpaceX rideshare could likely cut the cost of buying and launching a new satellite in half – and maybe further. The question, then, is whether Varda can take those potentially substantial cost savings and design and manufacture a tiny orbital reentry capsule that’s cheap enough to make its free-flying space factories competitive with the International Space Station (ISS).
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”
