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SpaceX tweaks Starship's Super Heavy rocket booster as design continues to evolve
CEO Elon Musk says that SpaceX continues to evolve the design of its next-generation Starship spacecraft and Super Heavy rocket booster, a process of continuous improvement the company has successfully used for a decade.
Designed to place more than 100 metric tons (220,000 lb) of payload into Low Earth Orbit (LEO), Starship would effectively double (and possibly triple) the expendable performance of SpaceX’s existing Falcon Heavy rocket. Critically, it would be able to dramatically outclass Falcon Heavy (and Falcon 9 even more so) in a fully reusable configuration, meaning that both the Starship upper stage and Super Heavy booster could be recovered and reused.
Since SpaceX first publicly revealed its next-generation launch vehicle and Mars ambitions in September 2016, the path to realizing the dream of a fully-reusable super heavy-lift launch vehicle has been decidedly windy. After making the radical decision to move entirely from carbon composites to stainless steel in late 2018, the Starship design has remained relatively similar, coalescing around a specific concept that has matured to full-scale tank tests. Now, Musk says that Super Heavy’s design was tweaked slightly to make the booster even taller than before, while he later noted that Starship’s design also continues to “[evolve] rapidly.”
According to Musk, the Super Heavy booster will be stretched by a steel ring or two, reaching a new height of ~70m (230 ft). In other words, Starship’s first stage alone will measure as tall as the entirety of a Falcon 9 or Falcon Heavy rocket – first stage, second stage, and payload fairing included. Powered by up to 37 Raptor engines, a Super Heavy booster could produce more than ~90,000 kN (19,600,000 lbf) of thrust at liftoff – an incredible 12 times as much thrust as SpaceX’s workhorse Falcon 9 rocket.
Starship, meanwhile, will be a beast of an orbital-class upper stage on its own, measuring at least 50m (165 ft) tall and weighing some 1350 metric tons (3 million lb) fully-fueled. Stacked on top of Super Heavy, a Starship ‘stack’ would reach a staggering 120m (395 ft) and weigh more than 5000 metric tons (11 million lb) once loaded with liquid oxygen and methane propellant.
In simple terms, Starship/Super Heavy should be the tallest, heaviest, and most powerful launch vehicle ever assembled once it heads to the launch pad for the first time. While SpaceX is making great daily progress its ever-growing South Texas rocket factory, built up from next to nothing in a matter of months, it could still be quite some time before that milestone is within reach.
SpaceX’s process of continuously tweaking and improving the design and production of its rockets does typically have that effect. However, it’s more a symptom of the company’s approach to hardware and software development. Instead of working slowly and carefully from nothing to a preconceived finished product, SpaceX typically seeks to design, build, and test the minimum viable product, gradually improving (or entirely replacing) past ideas, designs, and hardware until overarching goals are fully achieved.
With Falcon 9 and Falcon Heavy, this meant beginning with Falcon 1, a dead-simple proof-of-concept rocket. After successfully reaching orbit, SpaceX expanded its Falcon 9 development program, itself focused initially on the minimum viable product – a full-scale expendable rocket. Since Elon Musk founded SpaceX in 2002, the goal has always been to build a fully-reusable rocket – the company has simply chosen the far more sustainable and practical approach of tackling only a select few problems at a time.
The Starship and Falcon development programs aren’t directly comparable but it’s safe to say that Starship is currently still in the very early stages of hardware development. Shortly after revealing Super Heavy’s height growth, Musk noted that Starship’s design is also being tweaked.
Sketching out a rough series of upgrades that could feasibly be made to the reusable spacecraft’s currently design, Musk thinks that Starship’s conical tank domes (and thus Super Heavy’s, too) could be flattened. That might allow an extra ~3m (10 ft) of propellant tank space to be squeezed into the same 50m Starship length, improving performance by simply using the vehicle’s fixed volume more efficiently.
With a nascent factory quite literally churning out Starship hardware, these tweaks are a whole different animal. Thanks to data and insight gathered from testing actual full-scale Starship tanks, up to and including fully-assembled tank sections, SpaceX will be able to guide its continuous improvement with even greater precision, honing in on the next-generation rocket’s orbital launch debut.
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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
