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SpaceX's East Coast Starship launch pad is making some serious headway

(SpaceX)

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Over the last few weeks, SpaceX’s Florida Starship launch pad construction has made some major progress and the structure that will one day support the first East Coast Starship and Super Heavy flight tests have grown several stories tall and show no signs of slowing down.

In a bid to make what could otherwise be an extremely expensive and time-consuming ordeal much faster and cheaper, SpaceX’s Starship/Super Heavy launch pads will be quite a bit different from the company’s several existing launch pads. This includes Kennedy Space Center’s LC-39A pad, leased and operated by SpaceX for Falcon Heavy and Crew Dragon missions and formerly used for dozens of Space Shuttle launches and all Saturn V Apollo Moon missions.

In a very on-brand move, SpaceX has decided to build Starship’s East Coast orbital pad within the bounds of Pad 39A but without using the pad’s existing launch mount or concrete flame trench. Instead, SpaceX is building a separate steel mount and water-cooled thruster diverter designed to stand up to the fury of a Super Heavy booster without allowing the rocket’s plume to dig a crater in the ground after ever ignition.

https://twitter.com/CiroTweeter/status/1203847693203886080

While choosing to pursue a dramatically different launch pad design for Starship may at first glance seem risky, SpaceX actually has more than a decade of experience building and operating similar mount and flame diverter setups at its McGregor, Texas rocket development and test facilities. A step further, NASA itself once heavily relied on similar technologies and strategies to rapidly build, test, and fly rockets larger than anything that came before them.

Most notably, the Saturn I rocket that preceded the massive Saturn V used a launch mount and flame diverter that looks quite similar to a conceptual setup SpaceX recently showed off in an updated Starship launch render.

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Backed by SpaceX’s Pad 39A tower and Falcon transporter/erector, technicians are busy erecting a no less massive launch mount for Starship and its Super Heavy booster. (Ciro Morales)

SpaceX’s Starship mount is substantially taller, has gone with steel instead of reinforced concrete, and will have a fixed flame deflector, but the similarities are otherwise significant. Conceptually, both mounts are topped with a flat surface with numerous support arms and a large cutout for the rocket to sit atop and its exhaust to exit through. Similar to Falcon 9, the single-core Super Heavy booster mount shown in SpaceX renders will likely have four hold-down clamps and two tail service masts (TSMs), umbilical connections that supply the rocket with propellant, electricity, connectivity, and any other required fluids.

As described and pictured above, Starship’s Pad 39A launch mount has rapidly grown from a few metal beams into a major structure in just the last few weeks. By rough estimate, the existing mount is already 20 or so meters (70+ ft) tall and has large mounts for the installation of additional structures on top of it, while the conceptual mount shown in SpaceX renders appears to be about 25-30 m (80-100 ft) tall.

In the last few days, technicians have begun installing the first framework of the flame diverter SpaceX will use to prevent Starship from damaging itself or its surroundings during static fires and launches. Given the fact that Starship’s Super Heavy booster – as currently described – will be the single most powerful launch vehicle in history, such a vast amount of energy is not easy to dissipate. To accomplish that task, SpaceX revealed in August 2019 planning documents that the 39A diverter would be water-cooled.

SpaceX’s McGregor, Texas booster test stand has supported dozens of Falcon 9 and Heavy static fires, thanks in large part to its massive, water-cooled thrust diverter. (Aerial Photos)

The largest thrust diverter SpaceX has built supports the company’s McGregor, Texas booster test stand and has supported dozens upon dozens of integrated static fire tests. Originally designed to enable integrated triple-booster Falcon Heavy testing, SpaceX ultimately decided not to use that capability but the diverter is still immense, likely measuring at least 15m (50 ft) tall and 10m (33 ft) wide. By building dozens of pipes into the surface and structure of the diverter and filling those pipes with recirculating water, it can survive several minutes of hot rocket exhaust without suffering catastrophic erosion or outright melting.

It’s safe to say that Super Heavy will require a diverter that is far larger still to survive thrust equivalent to more than three Falcon Heavy rockets, but that very diverter and launch mount are already well on their way to completion at SpaceX’s Kennedy Space Center launch pad.

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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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