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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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Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
