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SpaceX rolls last Starship off the assembly line ahead of “major upgrades”
SpaceX has installed Starship serial number 11’s (SN11) steel nosecone, effectively completing the rocket and marking the end of production for a series of four virtually identical prototypes.
SpaceX has soared through a limited production run of four full-height Starship prototypes with a more or less frozen design, simultaneously serving as a pilot run for a nascent Starship assembly line while also producing high-fidelity prototypes for the program’s first high-altitude flight testing. Work on Starship SN8 – the first of those four prototypes – began around July 2020 when labeled hardware was first spotted.
Parts of SN9, SN10, SN11, and SN12 gradually started to appear over the next few months. Less than four months after production began, (half of) Starship SN8 rolled to the launch pad in late October to kick off a series of acceptance tests.
After an unusually long ~6 weeks of testing, SpaceX declared Starship SN8 ready for flight and ultimately pulled off a high-altitude launch that made it just a dozen or so seconds (~5%) away from a complete success – far further than anyone really expected. That surprising level of success appeared to lead SpaceX to reevaluate its plans and the strategic design of its test plans.
One result was observed in publicly-visible labels SpaceX uses to identify the dozens of Starship parts in work at any given moment: after SN12, only a few minor unfinished parts of SN13 and SN14 were ever spotted, departing from the flood of activity observed while building SN8 through SN11. In November, CEO Elon Musk revealed that “major upgrades” were planned for Starship SN15 and all subsequent prototypes.
The implication was that SpaceX had already written off no fewer than three Starships (SN8-SN10) to prove that a new, exotic approach to rocket landings could work as planned. If those three failed, SpaceX could likely use Starships SN11 through SN14 – likely enough prototypes to either succeed or conclude that a redesign is necessary. Ultimately, after Starship SN8’s spectacular success and last-second failure, SpaceX seemingly concluded that it was unlikely to need a full seven prototypes to achieve the first soft landing(s) and effectively killed Starships SN12, SN13, and SN14 in the cradle.

SpaceX likely concluded that SN8 had demonstrated that a vast majority of Starship’s existing design was already sound, reducing enough risk to confidently begin major upgrades – akin to building a more permanent structure only after ensuring that the foundation is stable. Indicating exactly that, SpaceX has already begun stacking Starship SN15 and has been churning out hardware for SN16, SN17, and SN18 for the last few months.
That ultimately means that one or more upgraded Starships will likely be ready to carry the torch forward as soon as SN10 and SN11 flight testing comes to an end – whether that means continuing recovery attempts or pushing the envelope higher and faster after the first successful soft landing(s).
The nature of those “upgrades” remains unclear beyond apparent fit-and-finish improvements and the possibility of a more easily manufacturable nosecone design, but it’s clear that things will become clearer far sooner than later at SpaceX’s current rate of progress.



Elon Musk
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.
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!”
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.
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.