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SpaceX’s most important Super Heavy booster part makes first appearance

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What is arguably the most complex and important part of SpaceX’s Super Heavy booster prototype has made its first appearance at the company’s South Texas Starship factory.

Following in the footsteps of Starship development, Super Heavy has been able to extensively borrow from the many lessons learned over the course of building, testing, flying, and building more Starship prototypes. SpaceX is able to use virtually identical materials, equipment, and techniques to build and assemble both Starship and Super Heavy propellant tank barrels and domes, while both stages will also share an extensive foundation of avionics, plumbing, propulsion, and ground systems, among other things.

In fact, lacking a conical nose, secondary (‘header’) propellant tanks, flaps, a reusable orbital-class heatshield, and vacuum-optimized Raptor engines, Super Heavy is actually substantially simpler than the Starships it will one day launch towards orbit. However, not everything is simpler. Super Heavy will ultimately be the largest and most powerful liquid-fueled rocket stage ever built or tested – power that demands as many as 28 Raptor engines and a thrust structure capable of feeding and withstanding them.

Designing, building, and testing such a thrust structure is arguably one of – if not the – most challenging engineering hurdle standing between SpaceX and its aspirational Super Heavy design. It’s the first of those Super Heavy-specific thrust structures – in the form of a tank dome – that was spotted at SpaceX’s Boca Chica, Texas Starship factory on January 25th, roughly six weeks after its main component was spotted.

Unlike Starship, which relies on a small central ‘thrust puck’ fit for three sea-level-optimized Raptor engines and plans for three larger vacuum-optimized engines that will attach to the side of its hull, Super Heavy’s current design iteration features as many as 28 sea-level Raptors. Aside from CEO Elon Musk revealing that Super Heavy would have a central cluster of eight engines, the precise configuration has been a mystery.

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A look at Starship’s three-and-three thrust section configuration. (SpaceX)

The reality, as recently captured in photos above by NASASpaceflight photographers and contributors Mary (BocaChicaGal) and Jack Beyer, appears to be a much larger donut-shaped ring with space for eight gimballing Raptor engines. The remaining 20 Raptor engines would then be installed – possible mounted to the skirt, the thrust dome, or both – in the space left between the thrust donut and Super Heavy’s skirt.

Either way, the structures behind the two rings of engines will have to withstand at least 6600 metric tons (14.5 million lbf) of thrust at liftoff – approximately twice the thrust of Saturn V and Soviet N-1 rockets and more than three times the thrust of SpaceX’s own Falcon Heavy. Holding eight Raptors, the donut structure and dome recently pictured for the first time will also have to singlehandedly stand up to 1600 tons (3.5 million lbf; two Falcon 9s’ worth) of thrust while gravity, acceleration, and some 2500 tons of supercooled liquid oxygen push in the opposite direction.

Starship SN9’s standard thrust puck and dome. (NASASpaceflight – bocachicagal)
While seemingly identical from the ‘waist’ down, the first Super Heavy thrust dome obviously features a far larger Raptor engine ‘puck’ (donut?) at its base. (NASASpaceflight – bocachicagal)
Starship SN8 is slowly lowered onto Stand A, outfitted with a hydraulic ram used to simulate the mechanical stress of Raptor thrust. Super Heavy boosters will likely be tested in a similar manner, at first. (NASASpaceflight – bocachicagal)

In simpler terms, the business end of Super Heavy poses an extraordinarily difficult challenge and SpaceX has already built the first true-to-life prototype, with future iterations likely close on its heels. Much like Starship, if/when prototype booster number one (BN1) passes basic pressure and cryogenic proof tests, SpaceX will likely focus the rest of Super Heavy’s first test campaign on stressing the rocket’s unproven thrust structure to its design limits.

Like Starship, SpaceX will likely try to begin with nonexplosive methods, perhaps using a similar – but far larger – series of hydraulic rams to less riskily simulate the thrust of 8-28 Raptor engines. A steel structure spotted on a recent aerial overflight of SpaceX’s Starship factory might even fit the bill for such a structure, though only time will tell.

Based on an apparent acceleration of Super Heavy assembly work that may have started last week, as well as the crucial appearance of the last missing puzzle piece in the form of BN1’s thrust dome, the first booster could be completed and ready for testing sooner than later.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Elon Musk and Tesla AI Director share insights after empty driver seat Robotaxi rides

The executives’ unoccupied tests hint at the rapid progress of Tesla’s unsupervised Robotaxi efforts.

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Ashok Elluswamy

Tesla CEO Elon Musk and AI Director Ashok Elluswamy celebrated Christmas Eve by sharing personal experiences with Robotaxi vehicles that had no safety monitor or occupant in the driver’s seat. Musk described the system’s “perfect driving” around Austin, while Elluswamy posted video from the back seat, calling it “an amazing experience.”

The executives’ unoccupied tests hint at the rapid progress of Tesla’s unsupervised Robotaxi efforts.

Elon and Ashok’s firsthand Robotaxi insights

Prior to Musk and the Tesla AI Director’s posts, sightings of unmanned Teslas navigating public roads were widely shared on social media. One such vehicle was spotted in Austin, Texas, which Elon Musk acknowleged by stating that “Testing is underway with no occupants in the car.” 

Based on his Christmas Eve post, Musk seemed to have tested an unmanned Tesla himself. “A Tesla with no safety monitor in the car and me sitting in the passenger seat took me all around Austin on Sunday with perfect driving,” Musk wrote in his post.

Elluswamy responded with a 2-minute video showing himself in the rear of an unmanned Tesla. The video featured the vehicle’s empty front seats, as well as its smooth handling through real-world traffic. He captioned his video with the words, “It’s an amazing experience!”

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Towards Unsupervised operations

During an xAI Hackathon earlier this month, Elon Musk mentioned that Tesla owed be removing Safety Monitors from its Robotaxis in Austin in just three weeks. “Unsupervised is pretty much solved at this point. So there will be Tesla Robotaxis operating in Austin with no one in them. Not even anyone in the passenger seat in about three weeks,” he said. Musk echoed similar estimates at the 2025 Annual Shareholder Meeting and the Q3 2025 earnings call.

Considering the insights that were posted Musk and Elluswamy, it does appear that Tesla is working hard towards operating its Robotaxis with no safety monitors. This is quite impressive considering that the service was launched just earlier this year.

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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.

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Credit: Starlink/X

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.

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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.

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Credit: Grok Imagine

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.”

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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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