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SpaceX begins assembling first orbital Starship and Super Heavy booster
SpaceX has begun rapidly assembling the first orbital Starship prototype and the Super Heavy booster set to launch it isn’t far behind.
SpaceX’s Boca Chica, Texas rocket factory seemingly turned a corner in early July as sections of Starship 20 (S20) began to pop up around the site. Though parts labeled Starship “SN20” first appeared as far back as March 2021, the only unequivocal work on SpaceX’s first purportedly orbital-class Starship began in mid-June with the integration of the first engine section with mounts for six – not three – Raptors.
However, in line with SpaceX’s strict focus on maximizing the speed of Starship development and shortening the path to orbit, the company has frequently built Starship hardware before firmly assigning that hardware to any given ship, booster, or tank. In other words, until SpaceX actually begins stacking multiple completed rocket sections, there’s always a degree of uncertainty about the fate of any given ring, dome, or tank barrel. With Starship S20, that process began earlier this month and Super Heavy Booster 4 is likely to follow suit within the next few days – if it hasn’t already.
Since SpaceX unceremoniously rolled Starship prototype SN16 to an empty lot in mid-May, the company didn’t stack a single Starship part until the first week of July – unusual after a frenetic seven months spent building, qualifying, and launching Starships SN8, SN9, SN10, SN11, and SN15 and testing test tanks SN7.2 and BN2.1. Around the same time as Starship SN15 became the first prototype to successfully complete a high-altitude test flight and land in one piece, news broke that SpaceX was striving to perform Starship’s first orbital test flight with Ship 20 (S20) and Booster 3 (B3) as early as July.
Eventually, Booster 3’s orbital launch assignment shifted to Booster 4 as it became clear that the former prototype wasn’t meant to fly, but Starship S20 remained. More likely than not, the almost two-month gap between Starship SN16’s instant retirement and the start of the next flightworthy prototype’s assembly can be explained by the significant changes, upgrades, and undecided design decisions required to jump to S20.
Beyond the need for a thrust structure capable of supporting three sea-level Raptors and three vacuum-optimized engines, Starship S20 would need a full heat shield with thousands of tiles; orbital-class communications and avionics; and the general polished fit and finish required for an orbital launch attempt to have a good shot at producing the data needed for it to be valuable. SpaceX appeared to conclude that those stars were aligned in early July.
Two weeks after the first stack, Starship S20 is already approximately half-assembled and the last section of the vehicle’s tanks is almost ready for installation. What could be Starship S20’s nosecone is also in the late stages of assembly, though SpaceX has yet to even attempt to fully cover a nose in heat shield tiles and getting that process right could take an attempt or two.
Meanwhile, as evidenced by the booster common dome section hanging in midair in the image above, the assembly of Super Heavy booster 4 (B4) – the same booster tasked with supporting Starship’s first orbital launch attempt – may have begun on July 15th. If the Super Heavy common dome assembly was simply being moved relocated, a separate four-ring section has been staged outside of the high bay to kick off Booster 4 stacking within the next few days.
All told, it’s not inconceivable that both of the first orbital-class Starship and Super Heavy prototypes will be fully assembled and ready for testing – integrated or otherwise – sometime in August.
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
