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SpaceX starts stacking Starship’s first orbital-class Super Heavy booster
By all appearances, SpaceX has begun the process of stacking what could become the first Super Heavy booster capable of supporting orbital Starship test flights.
Known as booster number 3 (BN3), numerous sections of the 70-meter-tall (230 ft) steel rocket have been spotted at SpaceX’s Boca Chica, Texas factory over the last six or so weeks – adding up to a substantial portion of what is now expected to be the first flightworthy Super Heavy. Earlier this year, SpaceX stacked Super Heavy BN1 to its full height but late design changes effectively rendered the prototype largely irrelevant and turned it into more of a manufacturing pathfinder and source of practice than anything else.
As a result, BN1 never even left the high bay it was built in before SpaceX workers cut the booster into scrap. As of May, while a handful of parts for booster number 2 have been spotted, signs indicate that BN2 will be turned into a small test tank to qualify Super Heavy’s complex and unproven thrust dome and engine section.
That leaves Super Heavy BN3. According to NASASpaceflight.com, SpaceX has nominally assigned booster BN3 to support Starship SN20 on its inaugural space launch attempt. Just last week, SpaceX filed an application with the FCC for permission to communicate with Starship and Super Heavy during that “orbital test flight” – paperwork that included a six-month launch window scheduled to open no earlier than June 20th.
If approved by the FCC and – far more importantly – the FAA, Starship’s first “orbital test flight” will circumnavigate three-quarters of the world in approximately 90 minutes, launching from Boca Chica and ending – if all goes well – with Starship SN20 gently splashing down near Kauai, Hawai’i. From the sparse documentation SpaceX included in the public application, it’s ambiguous if there will be an attempt to recover Super Heavy booster BN3 or if the test flight will actually be orbital, given that Starship SN20 wont complete a full orbit.
Technically speaking, although a Starship capable of safely launching from Texas to Hawai’i is almost unequivocally capable of reaching orbit, the safest possible “orbital” flight test for such a massive spacecraft would stop just shy of orbit. A guaranteed free-return reentry would make it almost impossible for Starship to reach orbit, fail to deorbit after its first ~90 minutes in space, and end up posing a risk to populated areas – like, say, the now-infamous boosters of China’s Long March 5B rocket. Regardless, it’s clear that the specifics of Starship’s first spaceflight attempt are still very much up in the air and liable to change over the next few weeks.
What isn’t up in the air is the fact that SpaceX will need to all but fully assemble and test Super Heavy booster BN3 and Starship SN20 before any potential space shot. Along those lines, SpaceX still has a huge amount of work to do. Per Twitter user Brendan Lewis’ accounting, SpaceX has at least six BN3 sections – amounting to 22 rings and two of three tank domes – either completed or awaiting integration. The process of stacking BN3 began sometime in the last 7-10 days when SpaceX joined two four-ring sections – including the booster’s common dome, likely pictured above.
SpaceX has mostly completed BN3’s engine section, including a thrust dome with plumbing cutouts for a full 28 Raptor engines. Most recently, what looks like a Super Heavy fuel manifold appeared in Boca Chica. That manifold will attach to the end of a supersized Super Heavy transfer tube – also spotted in work – used to route methane through the liquid oxygen tank to fuel its Raptor engines. Fueling 28 large, high-performance Raptors is no mean feat and requires a rat’s nest of plumbing to feed them more than 15 metric tons (~30,000 lb) of propellant every second at full throttle.
Put simply, a majority of Super Heavy booster BN3’s hardware appears to be ready or almost ready for integration. The eight rings now stacked represent approximately 20% of the rocket’s full height, leaving another 30 or so rings – 54m (~180 ft) – to go. Given how long BN1 assembly took SpaceX, the company has its work cut out for it to fully integrate BN3 by June 20th, and the first operational Super Heavy prototype will almost certainly need to complete several major tests before being cleared for flight. As such, an inaugural space launch attempt in June or July is wildly implausible, but it’s far from out of the question that Starship and Super Heavy could be ready for their first “orbital test flight” before summer turns to fall.
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
