News
SpaceX's new Starship test stand to make life a little easier for Raptor engine engineers
SpaceX recently debuted a new rocket engine test stand at its Central Texas development facilities and one specific aspect of the so-called ‘tripod stand’ could make life a lot easier for Starship’s Raptor engine engineers.
The success of SpaceX’s extremely ambitious Starship spacecraft and Super Heavy boosters hinges heavily on the prior success of a next-generation rocket engine the company is developing itself. Known as Raptor, the engine is likely one of the most complex ever developed, owing to its use of a combustion cycle that’s as challenging and unforgiving as it is efficient. That efficiency is the draw.
The decision to base the Starship launch system around methane and oxygen propellant – relatively dense, safe to handle, and easy to generate on Mars – means that it can never be as efficient as a rocket based on hydrogen and oxygen, the pinnacle of chemical combustion-based propulsion. For a methalox rocket as nominally reusable as Starship, going to extremes to eke even a smidge of extra efficiency out of its Raptor engines is a reasonable – if not necessary – decision. However, that pursuit of efficiency carries many hurdles with it, some of which can even be exacerbated by the equipment used to test those engines on the ground.
Raptor is less than unique in this particular case but SpaceX’s engine development and testing has matured to the point that the stands it’s relied on for static fires have become a detriment to the engine’s progress. Specifically, aside from Starhopper, all previous Raptor static fires have been performed with engines installed horizontally in test bays located at SpaceX’s McGregor, Texas development facilities. While in flight, Raptor engines will theoretically never experience wear and tear similar to the unique conditions imposed by horizontal testing – engine burns will almost invariably exert forces along a vertical (up and down) axis.
To almost anyone else, even other engine development companies, this might seem like an insignificant difference. Built around the full-flow staged combustion (FFSC) cycle and meant to be unprecedentedly reusable and reliable, the Raptor engine is not quite as forgiving. Since the engine’s inaugural full-scale static fire test just one year ago, SpaceX CEO Elon Musk has noted several times that Raptor could benefit from new vertical test stands.
Speaking in October 2019, Musk stated that a new vertical test stand would “hopefully allow simplification of Raptor design, as pump shaft wear & drainage is better in vertical config.” More generally, testing Raptor engines vertically would also be “more representative of flight [conditions]”, allowing SpaceX to live up to its proven “test as you fly” philosophy.
Indeed, aside from Starhopper’s two successful test flights and a handful of static fires, Raptor has performed barely any vertical testing despite more than 3200 seconds of static fires completed with 18 full-scale engine prototypes in the last 12 months alone. Including subscale engines tested from 2016 through 2018, SpaceX’s Raptor engine has likely completed some 5000 seconds (>80 minutes) of test fires over the course of three and a half years of development.
Aside from allowing SpaceX engineers to potentially simplify the Raptor engine design and test the Starship engines in conditions much closer to what they will experience in flight, the addition of a new dedicated test stand – on top of two existing horizontal bays – should allow even more testing to be done in a given time-frame. The more testing that can be done, the more engines SpaceX can quickly qualify for flight, and given that every Starship/Super Heavy pair could require up to 43 new Raptor engines, SpaceX will need all the testing capacity it can get.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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”
