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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
Elon Musk teases crazy outlook for xAI against its competitors
Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.
Elon Musk has never been one to shy away from crazy timelines, massive expectations, and outrageous outlooks. However, his recent plans for xAI and where he believes it will end up compared to its competitors are sure to stimulate conversation.
In a bold and characteristic response on X, Elon Musk fired back at a recent analysis that positioned his AI venture, xAI, as lagging behind industry frontrunners.
The post, from March 14, came as a direct reply to forecaster Peter Wildeford’s assessment, which drew from benchmarks and reporting to rank AI developers.
xAI will catch up this year and then exceed them all by such a long distance in 3 years that you will need the James Webb telescope to see who is in second place
— Elon Musk (@elonmusk) March 14, 2026
Wildeford placed Anthropic, Google, and OpenAI in a virtual tie at the top, with xAI and Meta trailing by about seven months. Chinese players like Moonshot, Deepseek, zAI, and Alibaba were estimated to be nine months behind, while France’s Mistral lagged by about a year and a half.
Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.
He claimed xAI would “catch up this year,” meaning by the end of 2026, erasing that seven-month deficit against the leaders. But he didn’t stop there.
Musk escalated his vision to 2029, predicting xAI would “exceed them all by such a long distance” that observers would need the James Webb Space Telescope, NASA’s orbiting observatory stationed about 930,000 miles from Earth, to spot whoever lands in second place. This analogy underscores Musk’s confidence in xAI’s trajectory, implying an astronomical lead that could redefine the AI landscape.
Breaking down these claims reveals Musk’s strategic optimism. First, the short-term catch-up: xAI, launched in 2023, has already released models like Grok, but recent benchmarks, including those for Grok 4.2, have shown it falling short in capabilities compared to rivals.
Anthropic’s Claude series, Google’s Gemini, and OpenAI’s GPT models dominate in areas like reasoning, coding, and multimodal tasks. Musk’s assertion suggests aggressive scaling in compute, talent, or architecture, perhaps leveraging xAI’s ties to Tesla’s Dojo supercomputers or Musk’s vast resources, to close the gap swiftly.
The longer-term dominance by 2029 paints an even more audacious picture. Musk envisions xAI not just parity but supremacy, outpacing competitors in innovation speed and model sophistication.
This could involve breakthroughs in energy-efficient training, real-world integration, like Tesla’s robotics, or ethical AI alignment, aligning with Musk’s stated goal of “understanding the universe.”
Critics, however, point to parallels with Tesla’s Full Self-Driving delays; one reply highlighted Musk’s 2023 promise of FSD readiness. Musk has made this promise for many years, and although the system has been strong and improving, it is still a ways off from the completely autonomous operation that was expected by now.
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Musk’s comment highlights the intensifying U.S.-centric AI race, with xAI challenging the “three-way” dominance noted by Wharton professor Ethan Mollick, whom Wildeford quoted. As geopolitical tensions rise—evident in the Chinese firms’ lag—Musk’s tease could spur investment and talent wars.
Yet, it also invites scrutiny: Will xAI deliver, or is this another telescope-needed mirage? In an industry where timelines slip but stakes soar, Musk’s words keep the spotlight on xAI’s ambitious path forward.
Elon Musk
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.
While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.
Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.
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The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.
This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.

Credit: @serobinsonjr/X
The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.
The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
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The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
