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SpaceX first Super Heavy ‘test tank’ is almost ready for prime time
SpaceX has almost completed a ‘test tank’ meant to ensure that Starship’s Super Heavy booster is capable of withstanding the immense thrust of more than two-dozen Raptor engines.
Believed to be known as test tank BN2.1, the prototype’s latest appearance comes on the heels of news from CEO Elon Musk that SpaceX has upgraded Super Heavy with one extra Raptor engine – with plans to add another three down the road. The results of that tank’s imminent test campaign will likely be crucial as the company shifts its focus sending Starship to orbit (or close) as soon as possible.
Prior to a new Super Heavy booster ‘thrust puck’ design first spotted on May 29th, at least two separate booster engine section prototypes completed in the last few months sported an earlier variant more akin to a donut. At that point, Super Heavy’s design had a central cluster of eight gimballing, throttleable Raptors surrounded by a ring of 20 Raptor Boost (“RBoost”) engines – a variant meant to trade the ability to throttle for ~25% more thrust.
While Super Heavy booster BN1’s almost immediate scrapping – prior to a single test – guaranteed that major design changes were on the way, exactly what those changes would be was anyone’s guess. The appearance of a new booster ‘thrust puck’ design and Musk’s subsequent announcement that Super Heavy will “initially” have 29 – not 28 – Raptors likely mean that that engine section redesign was a major contributor to BN1’s instant obsolescence. The only other major change SpaceX clearly made with booster BN2 was switching the positions of its liquid methane and liquid oxygen tanks, ensuring that Super Heavy’s heavier oxidizer is closer to the rocket’s base.
Musk also stated that SpaceX will eventually upgrade Super Heavy to 32 engines, giving future boosters a central cluster of 12 engines that the SpaceX CEO says will significantly improve the efficiency of boostback burns.
With 29 identical Raptors, the simplest possible Super Heavy booster would produce up to 5800 tons (12.8M lbf) of thrust at liftoff. If SpaceX has already completed Raptor Boost’s design and qualification and kicked off mass production of a 250-mTf engine, that liftoff thrust climbs to 6800 tons (~15M lbf). If SpaceX achieves performance goals (~210 mTf stock; ~300 mTf RBoost) mentioned by Musk last year, a 32-engine Super Heavy could achieve peak liftoff thrust greater than 8500 metric tons (~18.7M lbf).
Even in its weakest configuration, Super Heavy will still be more than 60% more powerful than Saturn V and 25% more powerful than N1 – the largest rockets to have ever successfully or unsuccessfully flown. That immense thrust demands a structure capable of surviving those extreme forces while simultaneously feeding dozens of Raptors up to ~28 metric tons (~61,000 lb) of propellant every second and withstanding several thousand tons of liquid oxygen – all without leaking, cracking, or flexing too much.
While BN2.1 wont have any of the plumbing associated with dozens of Raptors, nine hydraulic rams will let SpaceX subject its Super Heavy thrust structure to the simulated thrust of some number of engines. Given the presence of nine rams and nine clustered engines, it’s unclear if BN2.1 will only test that main thrust structure or if those rams will somehow be spread out to simulate the thrust of a full 29 engines – 20 of which will instead transfer most or all of their thrust into Super Heavy’s skirt.
Regardless, if successful, BN2.1’s test campaign should leave SpaceX on track to attempt Starship’s inaugural spaceflight as early as Q3 2021. If issues arise, that target could easily slip to Q4 or into 2022, but SpaceX’s test tank campaigns have historically been very successful.
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”
