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SpaceX wins launch contracts for three more Launcher space tugs
Startup ‘Launcher Space’ has chosen SpaceX to launch at least three more ‘Orbiter’ space tugs, meaning that the company will have a payload on every dedicated SpaceX rideshare launch planned from Q4 2022 to the end of 2023.
Following SpaceX’s third successful dedicated rideshare launch in January 2022, the company has another two missions – Transporter-4 and -5 – scheduled in the first half of the year. In October 2021, Launcher announced its Orbiter spacecraft program and plans to manifest the first vehicle on a SpaceX rideshare mission – likely Transporter-6 – scheduled to launch no earlier than (NET) October 2022.
Announced in the summer of 2019, SpaceX’s Smallsat Rideshare Program has offered one of the easiest and most affordable tickets to space for two and a half years. Following a handful of Starlink rideshare missions in 2020, SpaceX kicked off dedicated Transporter launches in January 2021 and has since delivered more than 320 customer satellites and payloads to orbit. By treating each Transporter mission a bit like public transit and also opening the door for third-party launch servicers, SpaceX has been able to somewhat simplify the tedious process of organizing large-scale rideshare missions.
Most importantly, thanks to the unprecedented affordability of its Falcon 9 rocket, SpaceX has allowed rideshare customers to reap a great deal of the benefits by charging just $1M per 200-kilogram (440 lb) ‘slot’ and a flat $5,000 for each additional kilogram. To anyone unfamiliar with the cost of spaceflight, that might seem obscene, but it’s extraordinarily affordable and far cheaper than every advertised alternative. Astra Space, the cheapest dedicated smallsat launch provider, sells a Rocket 3 vehicle capable of launching about 50 kilograms (110 lb) to a similar orbit for ~$3.5M – equivalent to $70,000 per kilogram. Rocket 3 has only completed one successful launch, however. Rocket Lab’s more accessible Electron rocket costs at least $7.5M for ~200 kilograms to sun-synchronous orbit (SSO) – a price of $37,500/kg.
Nonetheless, the single most significant drawback of rideshares – a one-size-fits-all orbit – remains. Short of a much more complex, expensive trajectory that would require Falcon 9’s upper stage to reignite several times, every payload launched on Transporter missions ends up in the same initial orbit. To solve that problem, a not insignificant number of companies have been formed in recent years to develop competitive orbital transfer vehicles. In theory, propulsive space tugs could potentially give rideshare payloads the best of both worlds – ultra-cheap launch costs and, within reason, delivery to a specific orbit of choice.
Launcher’s Orbiter is perhaps the most promising of the lot. Scheduled to debut no earlier than (NET) October 2022, Orbiter will use pressure-fed 3D-printed thrusters fed by ethane and nitrous oxide propellant stored in 3D-printed tanks. The company has already begun printing and hot-fire testing multiple thrusters, has received the first set of Orbiter avionics and solar panels, and seemingly remains very confident about the schedule for that spacecraft’s launch debut.
Additionally, Launcher is actually publicizing pricing for the stage. Bought outright, each Orbiter will cost about $400,000. Using its full 400 kg (880 lb) payload margin, a Falcon 9 launch with Orbiter – enabling precise orbital targeting – would cost a prospective customer about $3.5M – less than $9,000/kg. For a 200 kg (440 lb) payload, a Falcon 9 + Orbiter launch might cost less than $7,000/kg (~$2.5M). For Orbiter rideshare missions, Launcher will charge between $8,000 and $25,000 per kilogram – multiple times cheaper than alternatives at the low end and still competitive at the high end.
Other companies like Spaceflight Industries, D-Orbit, Momentus, Exolaunch, and more are also developing – or already flight-testing – their own space tugs, though most are being cryptic about their prices and capabilities.
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.
News
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”
