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Elon Musk reveals SpaceX Starship production well underway inside new Texas factory
SpaceX CEO Elon Musk has offered a new glimpse inside the company’s rapidly-expanding South Texas Starship factory, revealing the beginnings of the next-generation rocket’s first true assembly line — and a wealth of spacecraft hardware.
Situated two or so miles from the Gulf of Mexico (and Mexico itself) in Boca Chica, Texas, SpaceX has been seriously planning a presence in South Texas for more than five years. Originally meant to host the United States’ first private orbital launch complex for Falcon 9 and Falcon Heavy rockets, only a small amount of work – known as soil surcharging – was done in the four years that followed SpaceX’s 2014 announcement. In late 2018, however, work began in earnest to build basic launch and manufacturing facilities.
Less than six months later, the first true Starship prototype – known as Starhopper and built from scratch out in the South Texas elements – ignited its Raptor engine for a brief static fire test, bringing the first to facilities and rocket to life less than half a year after they were little more than a pile of dirt and steel sheets. Now, barely nine months after Starhopper’s first static fire test, SpaceX is working around the clock to erect a full-scale rocket factory and build what could become the first orbital-class Starships. On February 9th, Elon Musk offered the best glimpse yet of the incredible progress SpaceX has made in a matter of weeks.
Barely a month ago, the rocket hardware pictured above did not exist, while the giant Tesla-inspired tent containing those Starship parts was a half-finished skeleton. Now, Elon Musk says that SpaceX has effectively completed three of the hardest parts of its first upgraded Starship prototype (SN01), while an additional two (of three) of those parts – known as propellant tank domes – are already in work for a second Starship (SN02).
Outside of the ‘sprung structure’ (i.e. tent) shown in Musk’s February 9th photo, SpaceX contractors appear to be just days away from completing the shell of a second identical tent, ultimately doubling the space available for enclosed manufacturing operations. At the same time as both Starship hardware and production facilities are rapidly coming together, SpaceX is also erecting what is presumed to be a Vehicle Assembly Building – a potentially massive structure that will protect vertical Starships and Super Heavy boosters from the elements while workers assemble them into finished rockets.
Inside the finished tent, SpaceX appears to have set up the first true Starship assembly line (of sorts), expanding from working on a single kind of prototype at a time to concurrent (serial) production of major components. Visible are three Starship bulkheads (tank domes) – two completed instances of which have already been transported outside and integrated with finished ring segments, forming two halves of Starship SN01’s complete liquid methane (LCH4) tank.
Near the back of the tent, work is also ongoing on several Starship SN01 tank rings. In the center, technicians are outfitting Starship SN01’s engine and ‘skirt’ section, where the bottommost tank dome will attach to three (up to six) Raptor engines. To the left, a stack of two rings appears to be stored off to the side, while – only slightly visible in Musk’s photo – another pair of rings is being welded together with the help of a rotating table.
Far from its full capacity and working out of a much smaller tent, SpaceX’s dedicated ringforming station – tasked with turning coils of steel into finished Starship rings – has finished no less than 34 steel rings since the January 1st. SpaceX is still clearly learning and at least third of those rings wound up being scrapped due to defects, but the material cost of all of those rings (~55 tons of steel) is probably less than $150,000. Additionally, those 34 completed segments would reach more than 60 meters (200 ft) tall if stacked, enough to build almost two Starship tank and engine sections – domes excluded.
In simple terms, SpaceX has pivoted away from the more boutique style of prototype fabrication used for Starhopper and Starship Mk1 and is now building Starship SNxx hardware extremely quickly. At the same time, the enclosed manufacturing space available to SpaceX is probably going to double before this week is out. Ultimately, SpaceX’s March 2020 Starship SN01 flight debut target is quickly becoming less and less crazy by the day.
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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
