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SpaceX Starship factory overflowing with new and flight-proven rockets
After a relatively relaxed period of production and testing, SpaceX’s South Texas Starship factory is practically overflowing with new and flight-proven ships as the company prepares for the rocket’s next major tests.
Even before the one-off Starship Mk1 prototype failed a pressure test late last year, SpaceX was in the process of upgrading its Boca Chica production facilities and refining the ship’s design and manufacturing processes. Starship SN1, the first prototype built as part of that upgrade, rolled to the launch pad on February 25th, 2020, followed by Starship SN2 (turned into a test tank) just a week or so later. Starship SN3 and SN4 would both follow in early and late April, ultimately ending with the latter prototype’s spectacularly violent demise in late May.
Over the remaining three or so months, the pace of testing has slowed a bit as SpaceX’s Starship development program enters the full-scale flight testing phase. Starship SN5 began testing on July 1st, followed by SN6 around six weeks later. Both prototypes successfully hopped just 30 days apart. Now, although SpaceX still plans to hop SN5 a second time and may hop SN6 twice, too, the Starship program’s focus has shifted to high-altitude, high-velocity flight tests and the adoption of a new steel alloy.
Presumably in anticipation of a learning curve as that new steel alloy begins to be tested at full-scale for the first times, SpaceX is churning out Starship prototypes at an unprecedented pace. Intriguingly, that production ramp is hinged upon the assumption that a 304L-class steel alloy (compared to the 301 stainless steel used to build SN1 through SN6) will be as good or better than 301 steel in every significant way.
Currently, that assumption isn’t entirely baseless but is still built upon the success of Starship SN7, SpaceX’s first 304L test tank. SpaceX never confirmed its results but it’s believed that that test tank – more of a material demonstrator than an actual structural Starship prototype – surpassed all previous pressure records before it burst in June.
Given that SN7 performed quite well, it’s at least a bit less surprising that SpaceX is hinging months of work and at least four full-scale Starship prototypes on an otherwise unproven steel alloy. The next big test for 304L Starships will be a second test tank known as SN7.1. Rolled to the test site on September 7th, essentially as soon as Starship SN6 was safed and returned to the factory after its hop debut, SN7.1 is significantly more complex than its sibling and will test a ~304L Raptor mount (thrust puck) and skirt section. The forces and general conditions those new parts will be subjected to are substantially different than most of what SN7 was subjected to, meaning that there is a chance that 304L steel is less optimal in different scenarios.
With any luck, SN7.1’s test campaign – scheduled to begin as early as 9pm CDT (UTC-5), September 10th (today) – will be a flawless success, proving that SpaceX’s new steel alloy is universally superior to 301 for Starship-related applications. If that’s the case, Starship SN8 – the first full new-alloy prototype – will likely be fully outfitted with a nosecone and header tanks before beginning acceptance testing.
Eventually, if SN7.1 aces its tests and SN8 performs well during preflight preparations, Starship SN8 could become the first prototype to launch with a full nose, header tanks, and flaps, as well as the first to fly with three Raptor engines. If Starship SN8 fails for any reason or is damaged during testing, though, it appears that SpaceX will have no shortage of ships built out of the same new steel alloy to choose from.
In just the last ten days, labeled parts and rings for Starships SN9, SN10, and SN11 have all been spotted, implying that SpaceX is concurrently building at least four new Starships. Notably, both Starships SN9 and SN11 already appear to have some of the studs needed for heat shield tile installation affixed to sections of their steel hulls. Based on the sheer number of steel ring stacks spotted over the last week, it’s also safe to assume that SN9’s tank section (and possibly SN10’s, too) is largely prefabricated.
Assuming two of the in-work nosecones are ultimately meant for flight, SpaceX may already have enough hardware on hand to fully assemble two Starships (presumably SN8 and SN9) – including nosecones, header tanks, nose rings, and flaps. It’s safe to say that if SN7.1 achieves its goals, preparations for the first triple Raptor hop, 20 km (~12 mi) test flight, and skydiver-style landing attempt could come together incredibly quickly.
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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
