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SpaceX churning out Starship Super Heavy booster parts ahead of first stacking
SpaceX is busy churning out dozens of steel rings for Starship’s first Super Heavy booster, the assembly of which CEO Elon Musk says could be just “a few weeks” out.
Significantly more than twice the height of Starship’s main propellant tank and engine section, Super Heavy boosters will stand an incredible 70+ meters (230+ feet) tall once complete – the same height or taller than an entire two-stage Falcon 9 or Falcon Heavy rocket. Unlike Starship, Super Heavy will have no conical nose section and will be built – like Starship tanks – entirely out of simple steel rings.
Each measuring 9m (~30 ft) in diameter and 1.8m (~6 ft) tall, SpaceX will need to stack some 38 of those steel rings to complete Super Heavy’s propellant tanks, interstage, and engine section. Impressively, SpaceX is making so much progress building Super Heavy subsections that the start of the first booster assembly will likely have to wait until a facility (“high bay”) tall enough is ready to stack them.
Thanks to handy labels affixed to each ring group and the watchful eye of local resident and photographer Mary (also known as BocaChicaGal), no less than six confirmed sections of the first Super Heavy booster (SH1) have already been spotted in Boca Chica. Ranging from two to four rings tall, the first of those ring sections was spotted on September 22nd, followed by another on the 28th.
Within the first few days of October, that doubled to four, five, and six confirmed stacks, as well as several more likely candidates with labels hidden from publicly accessible viewpoints. Additionally, Musk’s recent note that the liquid oxygen tank of Super Heavy boosters will have “longitudinal stiffeners” – also known as stringers – meant that a trio of five-ring stacks with said stringers were also candidates for Super Heavy #1.
Assuming one of those three five-ring stacks is reserved for the first functional Starship nose section, SpaceX may already have 30+ Super Heavy rings – of ~38 total – awaiting the completion of high bay construction.
Roughly 80 meters (~260 ft) tall, SpaceX’s Boca Chica high bay is essentially an enclosed gantry crane that will be used to stack and outfit Super Heavy boosters – the final steps of production. SpaceX and its contractors began building the high bay in early July and Musk says that the massive building is just “a few weeks” away from completion. As of October, the structure is essentially complete, as is the wall cladding. Roughly half of the building’s roof is also complete, leaving a small amount of work left before running power, HVAC, and plumbing is all that remains.
Unsurprisingly, the SpaceX CEO also says that the high bay will eventually be outfitted with a “giant gantry crane,” though Super Heavy booster stacking will likely begin before then. In the meantime, there’s a good chance that SpaceX will start stacking Super Heavy subsections in the existing Starship mid bay, hopefully leaving just a few big stacks in the high bay to complete the first booster.
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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
