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SpaceX just blew up a Starship tank on purpose and Elon Musk says the results are in
Before dawn on January 10th, SpaceX technicians and engineers intentionally blew up a miniature Starship tank in order to test recently-upgraded manufacturing and assembly methods, likely to be used to build the first Starships bound for flight tests and orbit.
SpaceX CEO Elon Musk quickly weighed in on Twitter later the same day, revealing some crucial details about the Starship tank test and effectively confirming that it was a success. While somewhat unintuitive, this is the second time SpaceX has intentionally destroyed largely completed Starship hardware in order to determine the limits of the company’s current methods of production and assembly.
Most notably, on November 20th, SpaceX is believed to have intentionally overpressurized the Starship Mk1 prototype in a very similar – albeit larger-scale – test, destroying the vehicle and sending its top tank dome flying hundreds of feet into the air. It’s generally believed that SpaceX (or perhaps even just Musk) decided that Starship Mk1 was not fit to fly, leading the company to switch gears and deem the prototype a “manufacturing pathfinder” rather than the first Starship to fly – which Musk had explicitly stated just a few months prior.
Bopper (Baby StarPopper) this morning after the overpressure event at SpaceX Boca Chica. ??@NASASpaceflight https://t.co/nCG7E9XtKM pic.twitter.com/PRTDQvvlRh— Mary (@BocaChicaGal) January 10, 2020
Dome to barrel weld made it to 7.1 bar, which is pretty good as ~6 bar is needed for orbital flight. With more precise parts & better welding conditions, we should reach ~8.5 bar, which is the 1.4 factor of safety needed for crewed flight.— Buff Mage (@elonmusk) January 10, 2020
Instead, Starship Mk1 suffered irreparable damage during its pressurization test and was rapidly scrapped in the weeks following, although several segments were thankfully salvaged – perhaps for use on future prototypes. Along those lines, it can arguably be said that the results from the mini Starship tank’s Jan. 10 pop test have paved the way for SpaceX to build the first truly flightworthy Starship prototypes – potentially all the way up to the first spaceworthy vehicles.
Hours after the test, Musk revealed that the Starship test tank failed almost exactly where and how SpaceX expected it would, bursting when the weld joining the upper dome and tank wall failed. Critically, the tank reached a maximum sustained pressure of 7.1 bar (103 psi), some 18% over the operating pressure (6 bar/87 psi) Musk says Starship prototypes will need to be declared fully capable of orbital test flights. In other words, given the tank’s size, it survived an incredible ~20,000 metric tons (45 million lbf) of force spread out over its surface area, equivalent to about 20% the weight of an entire US Navy aircraft carrier.
Musk also revealed that SpaceX will require Starships to survive a minimum of 140% of that operating pressure before the company will allow the spacecraft to launch humans.
Some have less than generously taken to smugly noting that several modern spaceflight and engineering standards require that launch vehicle tankage be rated to survive no less than 125% of their operating pressure, while this test tank would be rated for less than 118% under identical conditions. However, this ignores several significant points of interest. First and foremost, the Starship test tank intentionally destroyed on January 10th was assembled from almost nothing – going from first weld to a completed pressurization test – in less than three weeks (20 days).
Second, all visible welding and assembly work was performed outside in the South Texas elements with only a minor degree of protection from the coastal winds and environment. Although some obvious tweaks were made to the specific methods used to assembly the prototype tank, it also appears that most of the welding was done by hand. For the most part, in other words, the methods used to build this improved test article were largely unchanged compared to Starship Mk1, which is believed to have failed around 3-5 bar (40-75 psi).
Additionally, it appears that almost all aspects of this test tank have smaller structural margins, meaning that the tank walls and domes are likely using steel stock that is substantially thinner than what was used on Starship Mk1. Nevertheless, thanks to the addition of continuous (single-weld) steel rings, a tweaked dome layout, and slightly refined welding, this test tank has performed anywhere from 20% to 200+% better than Starship Mk1 – again, all while coming together from scratch in a period of less than three weeks.
As Musk notes, with relatively minor improvements to welding conditions and the manufacturing precision of Starship rings and domes, SpaceX can likely ensure that Starships (and thus Super Heavy boosters) will be able to survive pressures greater than 8.5 bar (125 psi), thus guaranteeing a safety margin of at least 40%. Even a minor improvement of ~6% would give vehicles a safety margin of 125%, enough – in the eyes of engineering standards committees – to reasonably certify Starships for orbital test flights.
All things considered, it’s safe to assume that SpaceX is going to begin building and assembling Starship SN01 (formerly Mk3) hardware almost immediately. Given that this test tank took just 20 days to assemble, it’s safe to say that the upgraded prototype’s tank section could be completed in just a handful of weeks. Stay tuned for progress reports.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
