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SpaceX Starship saved by ‘burst disk’ after Raptor static fire ends badly
Around 7:15 pm local time, SpaceX Starship prototype SN8 fired up one or several Raptor engines for the third time ever, catching onlookers – only expected a dress rehearsal – by surprise. An hour later, CEO Elon Musk revealed that SpaceX had effectively lost control of the rocket.
Unfortunately for SpaceX, this is not the first incident in which a fire led to a loss of Starship control. Back in May 2020, Starship serial number 4 (SN4) – the first full-scale prototype to have a Raptor installed – completed its third successful static fire test. Moments later, a vent line adjacent to the engine section caught fire, burning for a minute or two. Ultimately, likely due to destroyed wiring or plumbing, SpaceX seemingly lost control of SN4 and had to wait a full two days for cryogenic propellant to boil off and evaporate before teams could approach the rocket to inspect, repair, and regain control.
Now, more likely than not, Starship SN8 has suffered a similar – but not identical – failure, cutting some level of control. Elon Musk took to Twitter about an hour after the rocket’s third Raptor static fire, revealing that SpaceX had lose control of Starship’s pneumatics, referring to hydraulic systems needed to operate most of the rocket’s valves. For SN8, that meant nothing but bad news.
As cryogenic liquids (and all things in general) warm up, they expand, taking up more volume. To counteract that never-ending process of cryogenic propellant warming up, boiling, and turning to gas, fresh propellant is almost continually loaded while warmer gas is vented, thus maintaining safe tank pressures. If the ability to vent those gases is lost, the ability to maintain safe pressures goes with it.
As Musk noted above, Starship SN8 thankfully – and unexpectedly – had one or several burst disks installed, referring to single-use mechanical valves designed to open (i.e. burst) above a specific pressure. SN8’s nosecone burst disk did just that, bursting to create an outlet for the pressure building inside the rocket and thus preventing the small nose-based liquid oxygen (LOx) tank from exploding.
Unfortunately, the precursor to Starship losing control is a much less positive story. According to Musk, one of the Raptor engines SN8 ignited may have suffered a significant failure, melting one or more critical engine components. It’s unclear how exactly a seemingly contained engine failure evolved into a total loss of Starship hydraulics but it’s safe to say that redundancy will be added and updated designs will be implemented to ensure that a similar failure doesn’t reoccur.
Notably, both unofficial LabPadre and NASASpaceflight.com livestreams clearly showed Starship quite literally dripping molten metal for more than two minutes after the static fire. Whatever the cause of that extremely hot fire, anything that can continuously melt metal for minutes will have almost assuredly ravaged Starship SN8’s aft and the Raptor engines installed therein. It’s nothing short of miraculous that SN8’s main LOx tank wasn’t breached, as well.
Ultimately, SN8 will likely need extensive repairs – and one, two, or even three replacement engines – before it can safely restart testing and proceed towards its 15 km (~9.5 mi) launch debut. Additionally, SpaceX’s lack of valve control likely means that the company will have to wait at least 24+ hours before workers can safely return to the launch pad and begin those inspections and repairs.
Update: The roadblock was removed around 11pm local time and SpaceX workers appear to have already returned to the pad, signifying that Starship SN8 has been fully detanked and is safe to approach. Inspections and repairs will likely begin as soon as possible.
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”
