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SpaceX's Elon Musk reveals next Starship's Raptor engines, explains latest failure
SpaceX CEO Elon Musk took to Twitter to better explain what happened when the latest full-scale Starship prototype failed during one of its first tests, while later revealing the rocket engines set to power a future prototype’s first flight.
On April 3rd, SpaceX initiated the third full-scale Starship prototype’s first cryogenic (ultra-cold) pressure test by loading the ~30m (100 ft) tall rocket’s upper propellant tank with what was likely 400+ metric tons (~900,000 lb) of liquid nitrogen. For several hours, liquid nitrogen – a chemically-neutral propellant simulant – was loaded and offloaded several times. Finally, around 2:07 am local (07:07 UTC), the liquid oxygen tank below the methane tank abruptly crumpled, reminiscent of a plastic bottle with the air partially sucked out of it. After several long seconds of gradual crumpling, gravity did what gravity does and pulled the heavy upper tank to the ground, shredding the rest of the rocket’s thin steel skin.
Both unfortunate and a positive development, Musk has recently confirmed Teslarati’s earlier speculation that based on videos of the anomaly, a bad test design and operator error(s) – rather than a technical fault of the rocket itself – could have been the cause of Starship SN3’s failure. In other words, barring future operator error-related failures, Starship SN3’s second cryogenic test went quite well and should mean no delays to Starship SN4’s ongoing assembly.
Particularly in light of Elon Musk’s statement that operator error and a bad test design caused Starship SN3’s failure, the ship’s April 3rd performance was quite impressive. That SN3 remained vertical for several seconds after its aft tank crumpled and likely lost pressure – despite carrying a load equivalent to a fully-loaded Boeing 747 passenger jet – suggests that the vehicle’s structure is extremely robust.
In his explanation, Musk revealed that the rocket failed because the lower (liquid oxygen) tank had not been pressurized enough to withstand the stress of a methane tank fully loaded with liquid nitrogen. Musk’s description almost makes it sound like one or several people failed to account for the fact that liquid nitrogen is nearly 25% heavier than the cryogenic methane it was simulating.
Thankfully, while a prototype likely worth several million dollars and at least a month of work was lost, that means that SpaceX should be able to move on to SN4 with confidence – at least as long as it can rectify whatever allowed those operator mistakes to occur.
In the same Twitter session, Musk – presumably burning the late-night oil at SpaceX’s Boca Chica, Texas Starship factory – also posted a photo showing three operational Raptors in the same frame, a definite first for the cutting-edge rocket engine. Had Starship SN3 survived its cryogenic proof tests last week, SpaceX’s plan was to install and static fire either one or three Raptor engines. A successful static fire campaign would have then been followed soon after by a full-scale Starship’s inaugural flight test, potentially seeing the ship fly as high as Starhopper’s final August 2019 hop.
Now, while Musk says SpaceX may still “reuse much of [SN3’s] thrust section,” the company’s Starship test plan will now rely on SN4 – the next full-scale prototype. It’s far more likely that SN4 will reuse almost no structural aspects of SN3, but even that might cause just a few weeks of delays. Based on a particular assembly step completed on April 4th, Starship SN4 is only four weeks away from the launch pad under the assumption of zero improvements to the speed of production, assembly, and outfitting. Knowing SpaceX, SN4 could be fully stacked and outfitted even sooner.
For now, it looks like we’ll thus have to wait at least a few more weeks to see Starship attempt another cryogenic proof test and – potentially – breathe its first fire with one or several Raptor engines.
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”
