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SpaceX is building launch pad tanks out of Starship parts and that’s a big deal
SpaceX has begun installing the first of numerous propellant storage tanks at its first orbital South Texas launch facilities – a mostly ordinary and expected step made extraordinary by the fact that those tanks will be built out of Starship parts.
Labeled “GSE” for Ground Support Equipment, the first signs of those self-built storage tanks began appearing at SpaceX’s Boca Chica Starship factory less than two months ago in mid-February. A matter of weeks later, the first of those SpaceX-brand cryogenic storage tanks is off to the launch site for installation (and insulation) while at least two more tanks are well on their way to completion.
While a few ground starge tanks may look like a distraction in the scope of a program tasked with building the world’s largest (and fully reusable) rocket, the existence of those tanks is far more significant than it might initially appear.
Simply put, rocket propellant storage – even for extremely cold cryogenic liquids like those that SpaceX uses – is a thoroughly solved problem. Numerous commercial vendors exist and industrial demand for practically identical tanks is far higher, further lowering commercial tank costs even for those with niche use-cases thanks to economies of scale. For SpaceX’s purposes, major discounts could like be secured given that the company would need to purchase around three to four-dozen commercial-off-the-shelf (COTS) 100,000 gallon tanks to supply a launch pad with enough commodities for two back-to-back launches of Starship and Super Heavy.
That initial launch capability – which SpaceX appears to be working towards – would likely allow the company to start orbital refueling test flights (and Starlink launches, perhaps) immediately after completion. However, that initial capability wouldn’t suffice for ambitious missions to Mars, the Moon, or higher Earth orbits; where one Starship would need to be rapidly refueled with 3-10+ tanker launches. A launch facility capable of supporting 5-10 back-to-back launches (optimally just a few hours apart) would require many times more propellant storage.
The point is that for the initial target of two (or so) launches between commodity resupply, SpaceX could likely acquire the few dozen new storage tanks it would need for a few million dollars apiece for a total cost likely between $50M and $100M. Instead, SpaceX has decided to design and build its own propellant storage tanks. Even more significantly, the GSE tanks SpaceX has already begun building appear to be virtually identical to Starships.
In other words, SpaceX is effectively taking identical rocket parts, slightly tweaking a handful of those parts, and turning what could have been a rocket into a propellant storage tank. This is significant because relative to all other rockets in history, even including SpaceX’s own Falcon 9 and Heavy, building storage tanks with unchanged rocket parts on a rocket assembly line would be roughly akin to hiring Vincent van Gogh to paint lane lines.
Ever since Elon Musk made the radical decision to switch from composite structures to stainless steel, Starship has always aimed to be radically different than any large rocket before it. Crucially, by using commodity steel, the CEO imagined SpaceX would be able to build Starships fairly easily and for pennies on the dollar next to even SpaceX’s exceptionally affordable Falcon 9. In the last 18 months, it’s become apparent that SpaceX has built a factory capable of churning out one or two massive steel rockets per month and is willing to consign at least four or five of those Starship prototypes to all-but-guaranteed failures for the sake of data-gathering and iterative improvement.
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Technically, the most logical conclusion would be that Musk was right and that SpaceX has quickly developed the ability to build steel rockets larger than any other launch vehicle on Earth for perhaps just $5M or less apiece. However, SpaceX is also raising on the order of $1-2B in venture capital annually, so they could technically afford to shoulder the cost of extremely expensive Starship prototypes if the company was confident that there was a path to cut those costs and reach the targets needed for the rocket to make economical sense.
Now, the existence of self-built propellant storage tanks virtually identical to flightworthy Starship airframes all but guarantees that SpaceX is already building Starships for a few million dollars each – and possibly much less. More than a year ago, Musk said that SpaceX was already building the Raptor engines that will power Starship and Super Heavy for less than $1M apiece and was working to mass-produce a simpler variant for less than $250,000. Beyond engines and primary structures, Starship hardware is fairly simple and ranges from Tesla-derived motors, basic flaps, and landing legs to off-the-shelf pressure vessels (COPVs) and wiring. SpaceX has managed that extraordinary cost-efficiency despite the fact that Boca Chica is still nowhere close to the level of volume production Musk is aiming for, meaning that there are still far more efficiencies waiting to be realized.
For now, with virtually no retooling and the exact same assembly line, SpaceX’s South Texas rocket factory is busy churning out massive launch pad tanks – one of which is already preparing for installation while another two speed towards completion. All told, SpaceX appears to be preparing foundations for seven 9m-wide (30ft), 27.5m-tall (90ft) Starship-derived tanks that should be capable of storing ~2200 tons (4.9 million pounds) of subcooled liquid methane in three tanks and ~7300 tons (16.1 million pounds) of liquid oxygen in the other four tanks – enough for two orbital Starship launches.
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
