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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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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
