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SpaceX’s first Starship booster a step closer as custom parts arrive
While SpaceX remains focused on Starship flight testing as the dust settles from SN8’s launch debut, the company continues to make slow but steady progress building the first Super Heavy booster prototype.
For the most part, SpaceX has learned from trial and error and developed a decent stainless steel rocket manufacturing process by building a dozen Starship prototypes over the last ~12 months, ranging from a lone nosecone tip to stout test tanks and Starship SN8, which launched to 12.5 km (~7.8 mi) earlier this month. Practically identical below the nose, Super Heavy directly benefits from that maturity and is more or less an extended Starship tank section with more engines and bigger legs.
In many ways, Super Heavy can be much simpler than Starship, as a suborbital booster has no need for header tanks, flaps, or a nosecone, and can be much stronger and heavier in all aspects. However, carrying three or more times as propellant as Starship (and carrying Starship itself), Super Heavy also needs to be stronger. All those changes – requiring new design work and new fabrication – take time. In a great sign that most of that work is complete, some of that custom hardware needed to strengthen and power Super Heavy has begun to arrive over the last several weeks.
SpaceX began stacking the first Super Heavy booster (BN1) on November 8th and appears to have more or less paused integration operations after joining eight rings. Production continued apace, however, and no less than five ring sections destined for Super Heavy appeared over the next several weeks. Why assembly slowed down is unclear but it’s reasonable to assume that SpaceX was trying to keep its focus primarily on Starship SN8’s launch debut and the preparation of several other full-scale ships, where early work on Super Heavy could ultimately be for naught if Starship flight tests uncover major design flaws.
Regardless of the reason, BN1 remains eight rings (14.5m/48ft) tall as of December 14th, representing one-fifth of Super Heavy’s full 70-meter (~230 ft) height.
On December 17th, one of the parts unique to Super Heavy unexpectedly appeared in SpaceX’s South Texas shipyard, labeled “B1 FWD PIPE DOME”. The dome was quickly sleeved with a stack of three steel rings with labels confirming that the assembly was Super Heavy BN1’s common tank dome – “common” because it’s shared by both booster propellant tanks. The new dome is unique to all previous Starship domes, featuring a smaller, more reinforced cutout – likely because Super Heavy doesn’t need header tanks.
It also appears to borrow from Starship’s forward dome design, using the same rougher steel normally used to cap off Starship methane tanks.
Unlike Starship common domes, which place a spherical methane header tank at the bottom, Super Heavy’s common dome will have a transfer tube welded directly to its nozzle-like opening. As it turns out, what could be the first Super Heavy methane transfer tube was delivered to Boca Chica late last month.
Unlike Starship transfer tubes, the new plumbing appeared to have a much wider diameter and was delivered in four sections, meshing well with the fact that Super Heavy tanks are roughly twice as tall as Starship’s. Able to support as many as 28 Raptors compared to Starship’s 6, Super Heavy transfer tubes will also need to pump more than five times as much methane per second at full thrust, which could explain the larger diameter.
Finally and perhaps most significantly, aerial photos from RGV Photography appeared to capture the first glimpse of what might be the hardest custom part required by Super Heavy – a thrust structure designed to support up to 28 Raptor engines. On December 10th, casually sitting between Starship Mk1’s remains (on the white concrete mount) and a tent, a flat ring with clear eightfold symmetry and a donut-like cutout large enough to fit a Starship thrust puck with room to spare was easily visible.
The hexagonal symmetry was the main giveaway, matching comments from CEO Elon Musk that Super Heavy’s thrust structure will feature a central ring of eight engines surrounded by an outer ring of up to 20 more Raptors. Assuming the first Super Heavy booster only flies with a few Raptor engines, that sole eight-engine ‘puck’ may be all that SpaceX needs to complete BN1.
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
