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SpaceX ‘sleeves’ Starship-derived propellant tank for the first time – here’s why
In a small but important step towards activating a pad capable of launching the largest and most powerful rocket ever built, SpaceX has ‘sleeved’ one of its Starship-derived propellant storage tanks for the first time.
Starship is a fully-reusable, two-stage liquid rocket designed to ultimately cut the cost of orbital launch by at least one magnitude, opening the door for humanity’s sustainable expansion to Earth orbit, the Moon, Mars, and even beyond. To accomplish that lofty feat, it has to be a massive rocket. Measuring approximately 120m (~395 ft) tall and 9m (~30 ft) wide, Starship and Super Heavy will weigh on the order of 300 metric tons (~675,000 lb) when empty.
Once filled to the brim with cryogenic liquid methane (CH4) and liquid oxygen (LOx) propellant and gas, though, a two-stage Starship will easily weigh more than 5000 tons (11 million lb) shortly before and after liftoff. Further, SpaceX wants to be able to launch at least two Starships from Boca Chica in rapid succession. To meet the staggering needs of back-to-back Starship launches, SpaceX has thus had to design and build what will be the world’s largest launch pad tank farm.
Work on that tank farm is already well underway, though progress has been slower than expected. The site’s foundation and a few associated blockhouses were mostly completed by January 2021. By early April, the company had completed the first of at least seven steel propellant storage tanks at its Starship factory and rolled it to the launch pad for installation.
Notably, SpaceX chose to manufacture those storage tanks itself and ended up building structures virtually identical to the tanks that already make up most of flightworthy Starship and Super Heavy airframes. Depending on whether they’re meant to store liquid oxygen or methane, the seven tanks SpaceX is building are either 26 or 30 meters (85 or 100 feet) tall – though the concrete mounts they’re affixed to at the launch site are sized such that all storage tanks will have the same final height.
Of course, being made with the same tools and out of the same steel as Starship and Super Heavy, that means that SpaceX’s custom storage tanks are little more than 4mm (~1/6″) thick steel shells – about as bad as it gets for keeping cryogenic rocket fuel… cryogenic. If SpaceX were to simply use those unmodified tanks, it would be almost impossible to store Starship fuel for more than a few hours – and maybe just a few minutes – without it warming up past the point of usability.
As such, SpaceX’s final Starship tank farm design involves seven Starship-derived storage tanks and seven contractor-built tank sleeves. Measuring around 12m (~40 ft) wide and 40m (~130 ft) tall, those “cryo shells” will enclose all seven SpaceX-built tanks, allowing the company to fill the 1.5m (~5 ft) gap between them with an insulating solid, gas, or some combination of both. With those shells and insulation, SpaceX’s custom-built Starship tank form should be more than capable of storing cryogenic liquid oxygen and methane for days or even weeks.
As of August 5th, SpaceX has installed three of Starship’s custom ground supply equipment (GSE) tanks (with a fourth moved onsite on Thursday), moved two ‘cryo shells’ to temporary storage spots at the pad, and installed one cryo shell that actually turned out to be a million-gallon water tank. On Thursday, SpaceX ‘sleeved’ one of those storage tanks for the first time ever, marking an important milestone towards the activation of a tank farm capable of supporting Starship’s orbital launch debut. Another four sleeves are more or less complete, with the eighth and final sleeve likely just a week or two away from completion.
A fifth GSE tank is also more or less complete, leaving two more to go. However, with some basic math, it’s possible to determine that SpaceX’s orbital launch pad likely only needs five cryogenic tanks (three oxygen, two methane) – and possibly as few as four – to support Starship’s first orbital test flight(s). With SpaceX finally beginning to install tank sleeves, it’s possible that that four or five-tank milestone – and the first tests of SpaceX’s custom, unproven storage solution – are now much closer at hand.
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
