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SpaceX borrows Tesla's tent factory strategy for new Starship production HQ
Confirmed yesterday morning by CEO Elon Musk, SpaceX has copied Tesla’s approach to factory expansion and is building a giant tent to upgrade its South Texas Starship production facilities.
A big step towards more traditional aerospace-style manufacturing facilities, SpaceX has contracted the same company used by Tesla to create a fourth general assembly line (GA4) in a giant tent outside its Fremont, CA factory in 2018. Instead of Model 3s, however, Sprung Instant Structures (Sprung for short) is rapidly raising a large tent that will eventually allow SpaceX to fabricate and weld more Starship parts and sections in an enclosed environment, an improvement from the current practice of building prototypes out in the harsh environment of coastal Texas.
In typical fashion, Musk believes that the new enclosed production facilities – just a collection of shipping crates as of December 18th – could be ready to begin manufacturing Starship parts as early as next month, and the progress Sprung has made makes it unusually hard to fault his optimism.
Likely taken in mid-December, aerial photos taken by pilot and photographer Sam Sun help sketch out a rough view of the prospective Starship factory. SpaceX appears to have almost entirely foregone a concrete foundation for the new tent, instead opting for lines of steel shipping containers that likely add a bit of height at the cost of structural stability.
.@BocaChicaGal covers the work at these sites extensively, but here's a peek over the fence 😉 pic.twitter.com/0eDJp2agqr— Sam Sun (@BirdsNSpace) December 29, 2019
According to figures printed right on one of Sprung Structures’ many shipments of materials, the initial building will measure approximately 45 meters (150 ft) wide, 77 meters (255 ft) long, and 18 meters (60 ft) tall. While Tesla’s GA4 tent is the same width and (mostly) height, it’s an impressive 280 meters (915 ft) long – almost four times bigger than SpaceX’s newest Boca Chica addition.
While the shipping container foundation is definitely a bit of a risk a mile from the Gulf of Mexico, it does mean that SpaceX might actually be able to move the shell of its new Starship factory if the need arises. SpaceX is in the midst of expanding its Boca Chica lots, potentially giving the company a lot more space to grow its enclosed factory down the road. The simplest possible expansion available would basically double the length of the existing structure, making it more like 150-180 meters (500-600 ft) long.


Regardless, even the current 150′ x 255′ enclosure will end up offering more than 38,000 ft² (3500 m²) of factory space once finished. Depending on what its primary purpose is, SpaceX could probably fit 5-8 stacks of 5-6 rings each (10-11m tall) down the center of the tent, with room for maybe 10-24 additional stacks of 2-3+ rings (3.5-5m tall) in the space remaining. The middle line of hypothetical rings could produce the entire barrel section of 1-2 Starships simultaneously, leaving perhaps 3-4 large sections to be welded together out in the elements or at SpaceX’s new wedge-shaped windbreak.
Of course, the facility will likely end up being mixed-use, potentially offering enough space to simultaneous fabricate all subsections of a single Starship prototype before they are assembled elsewhere.
Ultimately, Sprung is now in the process of installing a large quantity of insulation inside the tent’s walls, indicating that SpaceX’s South Texas welding crew may soon be blessed with a climate-controlled work environment. Meanwhile, SpaceX CEO Elon Musk believes that Boca Chica’s new tent could be complete and ready to begin building Starship hardware as soon as January 2020, while he says that the next Starship prototype – now known as Starship SN01 (serial number 01) – could be ready for flight testing just one or two months after that.
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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.”
News
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.