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SpaceX begins installing new ‘Raptor 2’ engines on Super Heavy booster
SpaceX has begun installing new ‘Raptor 2’ engines on Super Heavy Booster 7 after the prototype completed a range of tests and returned to the company’s South Texas ‘Starbase’ rocket factory.
Earlier this month, SpaceX transported Booster 7 (B7) in the opposite direction, returning the 67-meter (~220 ft) tall rocket to Starbase’s orbital launch site (OLS) for the second time after it was forced to head back to the factory for repairs. Repairs completed, SpaceX dove headfirst into the process of verifying that the booster had been returned to full health and immediately filled its tanks to the brim with at least 3000 tons (>6.5M lb) of liquid nitrogen and oxygen – better known as a cryogenic proof test.
Less than 48 hours after completing its first post-repair test, Booster 7 sailed through another full cryoproof test without losing a beat. On May 13th, two days later, SpaceX attached a crane to Super Heavy B7 and removed it from the orbital launch mount before rolling the rocket back to Starbase’s build site on May 14th. Without official confirmation, which is increasingly rare, it was impossible to determine the results of the testing with certainty, but the speed of the process and Booster 7’s rapid launch mount removal made the two most extreme outcomes the most likely.
A quick return to the build site could have been explained by a significant vehicle failure or a major issue with SpaceX’s repair job – no point in continuing to test a vehicle that can’t be fully tested. On the exact opposite hand, a near-perfect test campaign in which all objectives were more or less achieved without major hiccups could also explain the quick return. In general, the evidence was in favor of the more optimistic explanation. Had a major issue been uncovered during the first post-repair cryoproof, it’s difficult to imagine that SpaceX would have completed the exact same test – in full less than 48 hours later.
However, SpaceX moved an in-situ Raptor engine installation stand towards Booster 7 and the orbital launch mount shortly before testing restarted, hinting – for the moment – that the company wanted to begin installing Raptor engines immediately after cryoproof testing. But mid-way through testing, the stand was moved back to its storage area and Super Heavy was instead removed from the mount and returned to the factory, adding a little uncertainty.
Concerns were immediately assuaged on May 17th when SpaceX was spotted moving Raptor engines from a production tent to the ‘megabay’ assembly building containing Booster 7. While the location of the new bay makes it difficult to peek inside from public viewpoints, preventing direct confirmation, it’s very likely SpaceX has begun installing new Raptor 2 engines on Super Heavy B7.
Additionally, confirming some of the more optimistic speculation about SpaceX’s decision to move Booster 7 back to build site, two of the three Raptor engines spotted on May 17th were also labeled “E26” and “E28.” Unless SpaceX’s engine numbering conventions have changed, the labels identify the engines as three of 20 ‘Raptor Boost’ engines that will ultimately populate the outer ring of Super Heavy B7’s aft end. More importantly, the installation of any Raptor Boost 2 (RB2) engines likely indicates that SpaceX has decided to install a full set of 33 Raptors on the booster before kicking off static fire testing.
To limit risk, SpaceX could have begun test-firing Booster 7 with just 1-3 Raptor engines installed and gradually added more as confidence grew. Instead, SpaceX appears to have accepted the added risk of losing 33 brand-new Raptor 2 engines in one fell swoop in return for the possibility of a much faster test campaign. If there are no major surprises during static fire testing, in other words, Booster 7 could be ready for flight far more quickly if the process begins with all 33 engines already installed. Installing Booster 7’s Raptors, heat shield, and aerocovers will be easier back at the build site.
Doing it all at once should also help prevent Booster 7 from suffering Booster 4’s fate and wallowing, unfinished, for months without completing a single useful test. If the gamble works, the first stage of a two-stage Starship could be ready for an orbital launch attempt in just a few months. If the gamble fails and Booster 7 is damaged, destroyed, or otherwise unable to pass the necessary tests, SpaceX will simply move on to Booster 8 sooner than later, having wasted less time on a more cautious Booster 7 test campaign.
It’s unclear how long it will take SpaceX to install all 33 Raptors, construct a heat shield around those engines, and finish buttoning up the rest of Booster 7. In an adjacent assembly bay, SpaceX appears to have nearly finished assembling a similarly upgraded Starship – Ship 24 – that’s first in line to ride Booster 7 into space. The company has also tentatively requested road closures for three 12-hour test windows on May 23rd, 24th, and 25th that either vehicle could use.
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”
