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SpaceX’s Starship Super Heavy booster needs a custom assembly tower
SpaceX CEO Elon Musk has confirmed that Starship’s Super Heavy rocket booster will get its own tower-like vehicle assembly building (VAB) – and work on the structure may have already begun.
While the only visible work SpaceX has thus far completed on its next-generation Starship launch vehicle is related to the more complex and unproven upper stage of the rocket, its Super Heavy first stage (booster) is just as critical. For SpaceX, Starship was the perfect starting point, itself following on the footsteps of a largely successful multi-year Raptor engine development program. Substantially smaller than Super Heavy and requiring 5-10 times fewer engines, Starship serves as a testbed for an almost entirely new suite of technologies and strategies SpaceX is employing to build massive rockets out of commodity steel.
In recent months, particularly following the first successful pressure test of a full-scale Starship tank section in April, SpaceX has effectively proven that those uncharacteristically cheap and simple materials and methods can, in fact, build rocket structures that should stand up to orbital spaceflight. In theory, aside from the booster’s 31-engine thrust structure, the same methods and materials used to build Starships can be applied unchanged to manufacture Super Heavy. The booster’s almost unfathomable size, however, will necessitate its own dedicated assembly facilities.
While Starship itself is not exactly small at ~50m (165 ft) tall and 9m (30ft) wide, the Super Heavy booster tasked with launching the ship on its way to orbit will easily be the largest individual rocket stage ever built. Currently expected to measure 70m (230 ft) tall, Super Heavy – just the first stage of the Starship launch vehicle – will already be as tall as an entire Falcon 9 or Falcon Heavy and weigh roughly three times more than the latter triple-booster rocket when fully fueled. At liftoff, Super Heavy will produce more than triple the thrust of Falcon Heavy and double the thrust of Saturn V, the most powerful liquid-fueled rocket to reach orbit.
Thanks to the sheer size of the booster, SpaceX’s existing Starship-sized vehicle/vertical assembly building (VAB) is far too small for Super Heavy and is even too short to fully stack a ~50m Starship. SpaceX’s contractor of choice started assembling that VAB around January 15th and the facility was able to begin supporting its first Starship stacking and welding operations on March 2nd, just a month and a half later, with the structure fully completed by March 18th. As such, assuming the in-work foundation is as close to completion as it seems and SpaceX uses the same contractor for the next building, Super Heavy’s VAB could be ready to build the first massive booster prototype as early as July or August. Things could take a bit longer given that Musk says the booster VAB will be 81m (265 ft) tall, nearly twice the height of Starship’s VAB, but likely by no more than a few weeks.
That timeline meshes well with a senior SpaceX engineer and executive’s recent suggestion that the first orbital Starship launch attempt could still happen before the end of the year. Of course, for Super Heavy to become a genuine priority for SpaceX and receive the resources necessary to achieve that extremely ambitious goal, Starship will have to perform almost flawlessly during a series of increasingly challenging tests planned over the next few months. First up, SpaceX needs to finish repairing the launch pad after Starship SN4 exploded during testing and Starship SN5 needs to be transported to the pad to complete acceptance tests, static fire(s), and its first 150m (~500 ft) hop test. After that, SpaceX will either move on to a 2 km (1.25 mi) hop or a more ambitious 20 km (12.5 mi) flight designed to test Starship’s skydiver-like approach to landing.
If Starship SN5 or SN6 manage to complete those aforementioned tests, the horse may actually be in front of the cart for Super Heavy prototype production and Starship’s first orbital launch attempt.
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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
