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SpaceX CEO Elon Musk shows off Starship’s 3 Raptor engines in best photos yet
SpaceX CEO Elon Musk has taken to Twitter to publish yet more photos of the company’s Starship Mk1 rocket prototype, this time posting what are – by far – the best official photos of Raptor engines yet taken.
This marks the first time that a SpaceX prototype of any kind has had more than one Raptor engine installed, a fairly symbolic but still significant milestone that follows in the footsteps of Starhopper’s successful single-engine flight test campaign. With Starhopper now heading into retirement, Starship Mk1 is preparing to support the program’s next major steps: full-scale, high-altitude flight tests powered by three Raptor engines.
The sight of three Raptor engines installed on the first true Starship prototype is undeniably hard to downplay. In barely seven months, SpaceX has gone from the very first static fire of a full-scale Raptor engine – serial number 01 – to flight-testing Raptor SN06 and producing enough engines to bestow Starship Mk1 with its own set of three engines. According to the latest comments from Elon Musk, Starship is meant to be powered by three ‘sea level’ Raptors and three vacuum-optimized Raptors – RVacs. RVac may or may not be ready to support the flight tests of early prototypes like Mk1 and Mk2, meaning that their three SL engines will likely be the sole propulsion for the time being.
Together, three SL Raptors operating at full thrust should be capable of producing up to 600 tons (1.3M lbf) of thrust. Per Musk’s note that Starship Mk1 likely weighs around 200 tons (~450,000 lb) empty, this means that a triple-engined Starship will be able to lift off with up to 400 tons (900,000 lb) of propellant, likely translating into roughly 200-300 seconds of untethered triple-engine operation.
“NOT FOR FLIGHT”
However, the engine installation milestone and subsequent photos are undeniably spectacular, but signs suggest that some level of pragmatism is in order. Visible in two of the three photos published by Musk, all three Raptors still have their transport rings installed just below each engine’s throat. Hardware at the base of one photo indicates that they were likely taken yesterday, on the evening of September 25th. Musk revealed that the three Raptors were installed late on September 22nd, up to three days prior.
Combined, the presence of the transport rings – “NOT FOR FLIGHT”, as their labels note – is a strong indicator that their installation is only temporary, likely in support of Elon Musk’s imminent September 28th Starship presentation. Without more information, it’s impossible to read much further into the temporary installation of Raptors. What it does confirm is that – for any number of reasons – flight-ready Raptors are not quite ready to support the Starship Mk1/Mk2. SpaceX has proven that Raptor is capable of supporting Starhopper for almost a full minute of powered flight, but behaviors observed near the end of that flight suggest that even that may have been pushing the engine’s limits.
All things considered, SpaceX is making progress at an almost unfathomable pace. Just seven months into full-scale Raptor test fires, it’s easy to believe that a lot of development work and refinement remains before the new engine family will be ready to reliably support multi-minute flight tests, let alone orbital launch attempts. Most orbital-class engine development programs aim for tens or even hundreds of thousands of seconds of test fires before attempting their first flights, but SpaceX is not most companies and is sticking closely to its preferred “test as you fly” methods and agile development strategies.
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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”
