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SpaceX’s upgraded Starship factory begins to take shape in South Texas
After a few months of foundation work, SpaceX has begun assembling the first section of a vast new Starship manufacturing building that will eventually replace a series of tents also known as ‘sprung structures’.
SpaceX and its contractors began erecting those tents in late 2019 after a mostly successful series of tests involving Starhopper – a steel rocket built on an unprotected concrete lot – and shortly before a less successful attempt at testing the first truly Starship-esque prototype. Inside and around those new tents, SpaceX took steps to significantly upgrade its Starship production methods and assembly facilities, ultimately settling on a process that is still very familiar more than two years later.
Nonetheless, in typical SpaceX fashion, the company appears to have outgrown those tents and set its sights on constructing a brand new Starship manufacturing facility – traditional roof and all – that will likely replace most or all temporary Starbase structures in the near future.
As previously discussed on Teslarati, documents submitted to a Florida water management agency have already revealed plans for a similar East Coast Starship factory and shed light on what the first unofficially named ‘Starfactory’ might look like in Texas.
“According to RGV Aerial Photography, SpaceX…aims to replace all of Starbase’s tents with a single 300,000 square-foot (~28,000 square-meter) building that will be about 18 meters (60 ft) tall and likely measure around 800 feet (250m) long and 400 feet (120m) wide. Starbase’s tents are roughly the same height, but their tented roofs mean that only a fraction of that height can be used for ring work and only a fraction of the floor space for taller nose work.
In comparison, a 300,000 square-foot building would have almost two and half times as much covered floor space as Starbase’s three tents – all of which can theoretically be used for ring and nose section assembly. In fact, with a mostly flat 18-meter roof, SpaceX could feasibly expand most ‘stacks’ by a ring or two, which would reduce the number of sections (and thus stacking operations) needed to assemble a ship or booster.”
Teslarati.com – March 4th, 2022
A month and a half later, SpaceX (or its contractors) began raising the first steel beams of the new building and made significant progress in just a handful of days. The first vertical beam was erected on April 19th. Around 48 hours later, several roof beams measuring a good 200+ feet (60+ meters) wide were assembled out of smaller pieces and installed on top of the structure’s vertical beams. As-is, the structure likely represents a good view of the front profile of the first of three new Starship production buildings that will eventually be joined to form one giant, monolithic rocket factory.
Notably, the skeleton of the building appears to be closer to 40-50 feet tall instead of the 60 feet predicted – short enough that it likely won’t allow SpaceX to increase the height of the different sections of stacked steel rings that make up most of Starship and Super Heavy. It’s possible that another level will be added for utilities and bridge cranes but the framework currently being installed will likely cap the height of Starship sections at five standard rings (9m/30ft tall). It’s not impossible that yet-to-be-constructed sections of the new factory will be taller, but that would run counter to SpaceX’s established method of production, in which Starship sections move through multiple tents throughout assembly and outfitting.
Construction of the new factory began adjacent to Starbase’s existing tents. As work progresses and the framework turns into a real building, it remains to be seen if SpaceX will use the first building to trial a number of production upgrades, fill it with new Starship production equipment under the same paradigm as existing methods, or physically relocate an existing assembly line inside it.
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
