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SpaceX Starship blew its top during rocket fueling test (updated)
Update: SpaceX has released an official statement indicating that Starship Mk1’s November 20th failure came after a decision to intentionally pressurize the rocket prototype to its limits. This likely means that the test was to max flight pressures and not an intentional burst test, so Starship’s dome failure is still a significant concern and was definitely not planned.
More importantly, SpaceX says that it had already decided to retire Starship Mk1 before any kind of flight testing, treating the vehicle as a pathfinder. Instead, SpaceX will build and use Starship Mk3 – the next Boca Chica prototype – for Starship’s first attempted skydiver-style landing and 20 km (12 mi) flight test.
SpaceX statement on the above test and incident: pic.twitter.com/r1ReRYhUhz— Michael Sheetz (@thesheetztweetz) November 21, 2019
SpaceX’s first full-scale Starship prototype has suffered a significant failure during testing, destroying or severely damaging large sections of the rocket. However, SpaceX CEO Elon Musk has already commented on the anomaly and is not all that concerned.
On November 20th, SpaceX – having canceled a planned road closure the day prior – unexpectedly requested a last-second road closure and entered into a much more serious round of testing with Starship Mk1, the rocket’s first full-scale prototype. This followed testing on November 18th that concluded with Starship Mk1’s very first ‘breath’ – some venting activity near the end of a tank proof test. SpaceX technicians spent the next 36 or so hours inspecting and working on Mk1, presumably looking for and patching minor leaks along its tank section.
The November 20th testing progressed far faster than the previous round of tests and Starship Mk1 was quickly venting again. Soon after that, frost began to appear on the exterior of its steel liquid oxygen and methane tanks, a telltale sign that some form of cryogenic testing was ongoing. Based on a distinct lack of activity at the nearby flare stack, SpaceX was using liquid oxygen (LOX) or liquid nitrogen (LN2) to verify that Starship performs as expected when filled with supercool propellant.
After initial venting and visible frost formation, SpaceX appeared to push forward, rapidly loading Starship Mk1 with LOX or LN2. This progress was easily visible thanks to the fact that the mass and pressure of all that cryogenic liquid made quick work of the slight imperfections on the exterior of Starship’s steel hull, turning the vehicle’s reflection from a speckled patchwork to an almost mirror-like finish. Roughly half an hour later, the otherwise peaceful scene was interrupted by the rapid failure of Starship Mk1’s upper LOX tank dome, instantly thrown several hundred feet into the air.
Seconds later, the crumpled upper half of Starship Mk1’s tank section appeared out of the clouds created and began hemorrhaging a huge volume of liquid oxygen, immediately boiling and vaporizing as it was exposed to the Earth’s comparatively white-hot atmosphere. Impressively, Starship appeared to remain functional after its top quite literally blew off, and the vehicle rapidly detanked and appeared to safe itself. Some ten minutes after the overpressure event, the freed liquid oxygen had boiled to nothing and Starship appeared to be quiet.
By all appearances, Starship Mk1 appeared to perform extremely well as an integrated system up to the point that its upper tank dome failed. The first frame from LabPadre’s stream with anything visibly amiss explicitly implicates the weld connecting the LOX dome to the cylindrical body of Starship’s LOX tank, point to a bad weld joint as the likeliest source of the failure. Although that hardware failure is unfortunate, Mk1’s loss will hopefully guide improvements in Starship’s design and manufacturing procedures.
Moving forward
Minutes after the anomaly was broadcast on several unofficial livestreams of SpaceX’s Boca Chica facilities, SpaceX CEO Elon Musk acknowledged Starship Mk1’s failure in a tweet, telegraphing a general lack of worry. Of note, Musk indicated that Mk1 was valuable mainly as a manufacturing pathfinder, entirely believable but also partially contradicting his September 2019 presentation, in which he pretty clearly stated that Mk1 would soon be launched to ~20 km to demonstrate Starship’s exotic new skydiver landing strategy.
Musk says that instead of repairing Starship Mk1, SpaceX’s Boca Chica team will move directly to Starship Mk3, a significantly more advanced design that has benefitted from the numerous lessons learned from building and flying Starhopper and fabricating Starship Mk1. The first Starship Mk3 ring appears to have already been prepared, but SpaceX’s South Texas focus has clearly been almost entirely on preparing Starship Mk1 for wet dress rehearsal, static fire, and flight tests. After today’s failure, it sounds like Mk1 will most likely be retired early and replaced as soon as possible by Mk3.
Above all else, the most important takeaway from today’s Starship Mk1 anomaly is that the vehicle was a very early prototype and SpaceX likely wants to have vehicle failures occur on the ground or in-flight. As long as no humans are at risk, pushing Starship to failure (or suffering unplanned failures like today’s) can only serve to benefit and improve the vehicle’s design, especially when the failed hardware can be recovered intact (ish) and carefully analyzed.
A step further, SpaceX is simultaneously building a second (and third) Starship prototype at its companion Cocoa, Florida facilities, and Starship Mk2 is nearly finished. Coincidentally, technicians installed its last tank dome – the same dome that failed on Mk1 – just days ago, and any insight that the Boca Chica team can gather from Mk1’s troubles will almost certainly be applied to Mk2, whether that means reinforcing its existing domes or fully replacing the upper dome with an improved design.
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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
