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SpaceX's Elon Musk works through holidays on Starship's "most difficult part"
SpaceX CEO Elon Musk says he has been working through the holidays at the company’s Boca Chica facilities to get Starship’s “most difficult part” ready for the next-generation spacecraft’s next prototype and flight tests.
Known as tank domes or bulkheads, Musk says that the hardware is the most difficult part of building and assembly Starship’s primary structure, referring to the steel engine section, tanks, and pointed nose that comprise most of the spaceship’s body. Starship’s primary structure must stand up to the rigors of all aspects of flight, including highly-pressurized propellant tanks, extreme G-forces during launches, orbital reentry, and more.
It was never officially determined whether the failure was intentional or not but during the first Starship prototype’s (Mk1) last test campaign, the vehicle experience an overpressure event while being filled with liquid oxygen or nitrogen. Localized to the weld connecting the upper tank dome to Starship’s cylindrical tank section, the dome essentially sheared off at the weld and launched hundreds of feet into the air, sending a shockwave through the vehicle that crumpled many of its steel structures as if they were aluminum foil.
It’s likely that Starship Mk1’s failure was an intentional overpressure event, meaning that SpaceX may have purposely pressed the vehicle’s tanks beyond their design limits to determine how structurally sound they were. What is less clear is whether the rocket burst before or after reaching its theoretical design limit.
For reference, SpaceX’s Falcon 9 rocket operates with its fuel and oxygen tanks pressurized to about 50 psi (3.5 atm) with localized pressures likely doubling or tripling near the bottom of both tanks during the first minute or two of launch. Some amateur back-of-the-envelope calculations from videos of Starship Mk1’s burst event suggest that it was pressurized to at least 60-75 psi (4-5 atm) at its upper tank dome, meaning that the pressure on its two lower domes and tank walls would have been even higher. If correct, those unofficial figures mean that Mk1 actually performed quite well considering the ramshackle facilities and unprecedentedly spartan methods used to fabricate and assemble it.
As such, Musk likely considers Starship’s tank domes the “most difficult part of [its] primary structure” in large part because of how difficult it is to make giant propellant tank domes simultaneously light and strong. Musk has previously implied that Starship Mk1 was more 200 tons (450,000 lb) empty while the ultimate goal for the spacecraft’s empty weight is closer to 120 tons, and a large portion of that weight savings will likely have to come from making its tank domes as light as possible.
In line with that educated speculation, the last month or so of SpaceX’s Starship work in Boca Chica, Texas has been marked by a distinct focus on building tank domes. In fact, Musk himself tweeted that he had worked all night with SpaceX engineers in Boca Chica in a bid to get dome production ready for Starship’s Mk3 prototype, the first Super Heavy hardware, and many more rockets to come.
Prior to Musk’s tweet, a Starship tank dome was actually shipped all the way from Florida to Texas and arrived earlier this month. Meanwhile, technicians have been briskly building up an additional dome using what appears to be a different method of integration involving new parts. SpaceX is currently attempting to weld Starship’s tank domes together from several dozen pre-formed sheets of stainless steel.
The sheets of steel assembled into the dome Musk showed on December 27th likely arrived in Boca Chica on December 13th, implying that SpaceX has managed to complete the majority of the first dome prototype – using a new process – in barely two weeks.
After SpaceX lifted the partially-completed dome off one of its custom assembly jigs, workers almost instantly began staging new sections of steel, beginning the process of integrating yet another tank dome – now likely the fourth on-site in Boca Chica. Meanwhile, at a nearby section of SpaceX’s Boca Chica production facilities, yet another dome was visible on the 28th. In short, SpaceX should soon have more than enough tank domes to complete the next Starship prototype – said to be a significantly improved and refined design compared to Mk1.
Known as Starship Mk3 (or Starship SN01), Musk says that the rocket – currently just a miscellaneous collection of separate parts – could (“hopefully”) be ready for its first flight as soon as February or March 2020.
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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
