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SpaceX’s returning Hyperloop champion prepares to hit 372 mph on July 21 competition
For the fourth year in a row, SpaceX will be holding its Hyperloop Pod Competition. The event, which features teams of students from universities across the globe, is expected to raise the game this year, with returning champion TUM Hyperloop (formerly WARR Hyperloop) from the Technical University of Munich looking to hit half the speed of sound with its upgraded pod.
TUM has been competing in SpaceX’s Hyperloop Pod Competitions since the first tournament was held in 2015. The team has created a reputation for creating incredibly quick pods over the years, even beating the 240 mph record set by Virgin Hyperloop in 2018 with an impressive 290 mph run. Even more notable was that TUM was able to accomplish this feat at SpaceX’s Hyperloop test track, which is only 0.8 miles long.
Inasmuch as this was impressive, the student team from Munich is not resting on their laurels this year. SpaceX requires returning participants to the Hyperloop Pod Competition to introduce upgrades and revisions to their past pod designs, and that is exactly what TUM did. The new pod, christened simply as Pod IV, is almost 1.70 meters (5.57 feet) long, 50 cm (19.6 inches) wide and weighs approximately 70 kg (154 lbs), almost 8 kg (17.6 lbs) lighter than 2018’s Pod III, which hit a record-setting speed of 290 mph the previous year.
In a press release, TUM Hyperloop Team Manager Toni Jukic stated that the team is looking to hit a highly ambitious goal this year. “This year we plan to reach at least half the speed of sound, over 600 kilometers per hour (372 mph),” he said. Putting that figure into perspective, Pod IV would have to go 40% faster than its pod last year, hitting 372 mph and decelerating to zero in 0.8 miles.
Ambitious goal aside, this year will likely not be easy for TUM Hyperloop, especially considering that among its competitors is the UNSW Hyperloop team from Australia, which has a pretty unique experience in terms of rapid sustainable transportation. The UNSW has seen success in other innovative transport solutions, with students from the university’s Sunswift team setting a new efficiency record at the World Solar Challenge using a solar racing car that completed a 4,100 km (2,500 mile) journey across Australia in just six days.
In a statement to The Driven, UNSW Hyperloop team manager Harry Zhang noted that the team had to work really hard to make it to SpaceX’s competition. “It was quite grueling because we had to apply to compete, then do several design packages over the summer and then finally get accepted in February to be invited to go to SpaceX’s headquarters in Hawthorne, California. The people who do compete and make it through the multiple rounds of elimination are quite revered in engineering around the world,” he said.
Another team that TUM Hyperloop would likely need to watch out for is Team Delft from the Netherlands. Delft won the coveted overall best pod award in SpaceX’s first Hyperloop Competition, and it was able to reach the finals last year together with TUM (then called Team WARR) and Team EPFLoop from Switzerland. Unfortunately, Delft experienced major issues in the finals, resulting in the team’s pod reaching speeds of only 88 mph before stalling. With a chance at redemption this year with a new, improved pod, Delft Hyperloop could be returning to the SpaceX Hyperloop Competition with a purpose.
The SpaceX Hyperloop Pod Competition is scheduled to be held on July 21, 2019 at the SpaceX headquarters in Hawthorne, CA. Similar to last year’s competition, participants for this year’s tournament will be judged on one key metric: top speed.
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”
