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SpaceX Starship factory aiming to build five megarockets in 2023
CEO Elon Musk says that SpaceX’s South Texas Starship aims to build up to five of the two-stage megarockets in 2023.
SpaceX’s Boca Chica, Texas hardware endeavors began in an empty field in late 2018, kicking off Starhopper testing in 2019. In late 2019 and early 2020, the company began building the bones of the factory that exists today, relying heavily on several giant tents (“sprung structures”) similar to those used by Tesla. SpaceX has already begun the process of replacing those tents with larger, permanent buildings, but two of the original tents continue to host crucial parts of the Starship manufacturing process.
In terms of useful output, that manufacturing slowed down a bit in 2022. That slowdown can likely be partially explained by the need to move equipment and processes into the first finished section of Starfactory. But in general, SpaceX was simply focused on finishing and testing Starship S24 and Super Heavy B7 – both stages of the latest vehicle meant to attempt Starship’s first orbital launch.
Only by late 2022 did Ship 24 more or less complete proof testing, and Booster 7 is still several major tests away from solidifying full confidence in its design. SpaceX has only conducted limited testing with fully-stacked Starships, further reducing the amount of confidence the company can have in the assembled rocket. Lacking the data needed to know with certainty whether the tweaked designs of Starship and Super Heavy are good enough for several orbital test flights, it’s thus unsurprising that SpaceX only produced a handful of usable ships and boosters in 2022.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
But if CEO Elon Musk’s forecast is correct, the company has plans to increase Starbase’s useful output in 2023. According to Musk, SpaceX aims to build “about five full stacks” this year, translating to five flightworthy Starships and five Super Heavy boosters.
In 2022, SpaceX finished Booster 7 and built Booster 8, Booster 9, and most of Booster 10. Booster 8 was almost immediately relegated to the retirement yard. Booster 9, featuring some significant design changes, completed a limited amount of proof testing and returned to the factory in early January – likely for Raptor engine installation. The fate of Booster 10 is unclear, but it stands as a prime example of how fast SpaceX can actually build massive Starship hardware when conditions are right. SpaceX began stacking B10 in late October 2022 and the vehicle is just two stacks away from full height three months later.
In the same period, SpaceX finished and immediately retired Starship S22, finished and began testing Ship 24, finished and began testing Ship 25, and finished stacking Ship 26. Booster 9’s upgrades partially insulate it from the most disappointing possible scenario, retirement before flight. Even if Booster 7 fails during prelaunch testing or its launch attempt, revealing major design flaws, it’s possible that Booster 9’s changes have already addressed those weaknesses, allowing it to continue the flight test campaign. Ship 25’s fate is even more dependent on the fate of Ship 24.
In 2022, SpaceX ultimately produced two “full stacks,” with a third (S26/B10) likely to be completed – albeit with a less certain fate – in early 2023. Delivering five full stacks this year – meaning five ships and five boosters that make it far enough to be paired with another and fully stacked – would be a major improvement. However, as was the case in 2022, higher-volume production will remain a risky proposition until the designs of the vehicles being built have been fully qualified.
Given how long it’s taken SpaceX to partially qualify Super Heavy Booster 7, it appears that the largest source of uncertainty will remain for at least another month or two, if not well into mid-2023. Starship production has many uncertainties of its own, and all of them are complicated by not knowing if a Super Heavy booster will be available to launch each new ship in a timely fashion.
Ultimately, an entirely different constraint means that “five full stacks” may be all SpaceX needs to build for the next 12+ months. After a long and painful process, the FAA completed an environmental review of SpaceX’s Starbase, Texas facilities, permitting a maximum of five orbital (full-stack) Starship launches per year. Starship’s FAA orbital launch license, which has yet to be granted, could be even more restrictive. A second Starship pad under construction in Florida is unlikely to be cleared for orbital launches until Starship has proven itself to be moderately safe in South Texas, which could easily take 12-18 months, if not longer.
Combined with the fact that no super-heavy-lift rocket in history has flown five times in its first year of launch activity, a trend Starship seems unlikely to break, SpaceX could practically halt production entirely in 2023 and still have a full year of testing ahead of it while only using Ships 24-26 and Boosters 7, 9, and 10. Unintuitively, that bodes well for a busy 2023 of Starship test flights, as much of the hardware required for three flight tests is already close to completion or almost ready to begin preflight testing.
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
