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SpaceX Hyperloop Competition: Top 3 teams duke it out for fastest pod

Paradigm pod being loaded into the SpaceX Hyperloop chamber [Credit: Matt Harman]

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Hawthorne councilmembers, members of the California Assembly, and Hawthorne Mayor Alex Vargas were in attendance at the headquarters of SpaceX and The Boring Company for their jointly-hosted Hyperloop Competition 2.

The second such Hyperloop competition sponsored by Elon Musk, the eight months that separated them were filled to the brim with press coverage of The Boring Company (TBC), which has begun to seriously develop an experimental tunnel beneath a central street in Hawthorne, CA. Most intriguingly, TBC publicly acknowledged that it is now pursuing the development of its own form of Hyperloop technology, originally developed and released as a white paper by Elon Musk, albeit with tunnels rather than above-ground vacuum tube constructs.

Update: Watch Elon Musk award this team for having the fastest Hyperloop pod at 202 mph

The second competition was focused on one goal, above all others: top speed. The final three teams chosen for testing in SpaceX’s mile-long vacuum tube were as international as ever. Paradigm Hyperloop, a continuation of the Openloop team from Competition 1, is composed of 26 students from the northeastern U.S. and Canada, designed a pod that made use of air bearings to levitate and was intended to travel as fast as 200 mph through SpaceX’s test track. While not yet officially confirmed, a livestream suggested that their pod reached a maximum speed of approximately 100 km/h or 62 mph. While nowhere near its purported top speed, a member of Paradigm Hyperloop said that the team’s pod “levitated perfectly” and that the test generally went great. Their pod was one of the largest, weighing in at almost a metric ton.

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SwissLoop, a team of 40 or so students from Swiss university ETH Zurich, developed a pod that levitated with permanent magnets and was propelled by compressed air, sort of like a rocket. SwissLoop’s SpaceX adviser, a mechanical engineer focused on reusing Falcon 9s on normal days, praised the group’s engineering and construction of the pod during a livestream on Facebook. SwissLoop experienced some technical difficulties while Musk waiting to provide the countdown in Swiss German, and he quipped about connectivity issues that the team was having with their pod. Musk later announced that due to those technical difficulties, SwissLoop’s pod would be removed for troubleshooting and WARR Hyperloop would conduct the second live test.

WARR Hyperloop, the victors of the first Competition, prepared their Pod ii to be tested on Sunday afternoon. One of the smallest pods at only 190 lb, the vehicle was intended to have a top speed of approximately 225 mph – a speed it was reported to be capable of reaching in 12 seconds. Designed by students from the Technical University of Munich, the pod was propelled with a 50 kW electric motor connected to polyurethane wheels. While the method of levitation was not specified, it is understood to be a system of permanent magnets similar to SwissLoop’s implementation. WARR is a German organization and stands for Scientific Workgroup for Rocketry and Spaceflight in English.

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Elon Musk somewhat controversially revealed that The Boring Company had received “verbal approval” for an underground Hyperloop between Washington D.C. and New York City, appearing to acknowledge some form of back-room deal with the federal government. He later clarified in a series of tweets and replies that the approval was extremely preliminary and unofficial and that The Boring Company was hard at work beginning to form relationships with the numerous municipalities that would be involved along the proposed route. The several Hyperloop-related companies that formed following Musk’s white paper have been reluctant to make room for a new, Musk-headed competitor in the ring, but The Boring Company is aggressively pushing ahead with their demonstration tunnel in Hawthorne, CA and has successfully applied for the initial permits that will be required.

Mirroring Elon’s typically positive opinion of competition, he bid Hyperloop One and all other companies trying to revolutionize transportation the best of luck during Competition 2. Competition 2 is guaranteed to provide SpaceX and The Boring Company an inside glance at some of the best emerging engineering talent. Hosting the competition is quite possibly the most suave and effective method of recruitment one can readily imagine, with all promising teams generally being given private tours of both The Boring Company and SpaceX facilities.

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Meanwhile, stay tuned for the two max speed pod tests to come later this afternoon. There is no live coverage from SpaceX itself, but SwissLoop has been kind enough to livestream several of the main events on their Facebook page. You can also follow a live Facebook stream here. Follow along live there and check back at Teslarati for coverage of the events!

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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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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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. 

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Credit: Grok

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.

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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.

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