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SpaceX just finished Starship’s 100th Raptor engine
SpaceX says its Hawthorne, California rocket factory and headquarters has completed the assembly of Starship and Super Heavy’s 100th Raptor engine.
SpaceX began developing Raptor behind the scenes as far back as 2012 and 2013, when a small team successfully tested a full-scale Raptor preburner – a small but important subcomponent – at NASA’s Stennis Space Center (SSC) facilities. Three years later, in September 2016, CEO Elon Musk revealed the first integrated static fire of a Raptor prototype – though it would later become clear that that prototype was a subscale engine about the same size as Falcon 9’s Merlin 1D.
After two and a half years of subscale testing that helped SpaceX refine startup and shutdown sequences and the general operation of what quickly became the world’s most thoroughly tested full-flow staged combustion engine, SpaceX graduated to full-scale testing. Designed to produce about twice the thrust (~200 tons/440,000 lbf) of its subscale predecessors, the first full-scale Raptor engine shipped to SpaceX’s McGregor, Texas test facilities and completed its first static fire days later on February 3rd, 2019.
Notably, the very first full-scale Raptor prototype (SN1) not only survived its first test but lived long enough to complete several more, ultimately reaching SpaceX’s minimum thrust target four days after its first static fire. A vibration issue would soon require several months of troubleshooting and iterative build-test-fail cycles but Raptor was ultimately ready to support its first brief Starhopper hop tests in July and August.
Approximately 15 months after Raptor’s first flight, Starship prototype SN8 successfully lifted off with three engines, one of which performed a near-flawless four-minute burn to apogee. Eventually, six months after SN8’s successful ascent but failed landing, Starship SN15 successfully landed, demonstrating Raptor’s ability to reignite mid-flight. Since SN15’s May 2021 success, SpaceX appears to have completed anywhere from 20 to 35+ new Raptors as part of a dramatic acceleration in production to meet the needs of at least two imminent orbital Starship test flights – both of which will need approximately 35 engines each.
For additional information on Booster 3's engine placement. Refer to this diagram below!
Massive thanks to @StarshipGazer for providing super high resolution and detailed pictures which allowed me to figure these positions out. pic.twitter.com/j1s5qHoGJ2— Artzius (@artzius) July 21, 2021
Per its label, RB16 – now better known as the 100th Raptor engine overall – is the 16th Raptor Boost engine built by SpaceX. “Boost” refers to the particular variant – in this case, a Raptor engine specifically designed for an outer ring of 20 engines on each Super Heavy booster. Unlike Raptor Center (RC) engines, the outer ring of Raptor Boost engines are fixed in place against the rocket’s skirt and aren’t designed to vector their thrust (i.e. gimbal). According to Musk, all sea level-optimized Raptor engines will ultimately produce approximately 230 tons (~510,000 lbf) of thrust.
Relative to almost any other large-scale engine development program in the last half-century, Raptor’s 29-month 100-engine milestone is an extraordinary achievement. The closest comparable engine is Blue Origin’s BE-4, which is expected to produce up to ~240 tons (~540,000 lbf) of thrust, uses an efficient (albeit slightly less so) combustion cycle, and relies on the same methane and oxygen propellant. Full-scale BE-4 testing began 16 months before Raptor in October 2017 and Blue Origin has reportedly only built and tested nine prototypes in the almost four years since. According to Musk, as of May 2021, SpaceX is now building more than a dozen Raptors – including prototypes and flight engines – every month.
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”
