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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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Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla confirms that work on Dojo 3 has officially resumed
