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SpaceX CEO Elon Musk says Starship could be followed by a dramatically larger rocket
Hinted at in a brief tweet on August 28th, SpaceX CEO Elon Musk says that SpaceX’s massive Starship and Super Heavy launch vehicle – set to be the most powerful rocket ever built upon completion – could eventually be followed by a rocket multiple times larger.
SpaceX is currently in the process of assembling the first full-fidelity prototypes of Starship, a 9m (30 ft) diameter, 55m (180 ft) tall reusable spacecraft and upper stage. Two prototypes – Mk1 and Mk2 – are simultaneously being built in Texas and Florida, respectively, while the beginnings of the first Super Heavy prototype has visibly begun to take shape at SpaceX’s Florida campus.
Once complete, Starship’s Super Heavy booster will be the single most powerful rocket booster ever built, standing at least 70m (230 ft) tall on its own and capable of producing as much as ~90,000 kN (19,600,000 lbf) of thrust with 30 250-ton-thrust and 7 200-ton-thrust Raptor engines installed. Assuming 31 throttleable 200-ton Raptors, Super Heavy’s minimum max thrust is a still record-breaking ~62,000 kN (13.7 million lbf).
In fewer words, a full Starship/Super Heavy ‘stack’ would be the tallest (~118m/390ft), heaviest (~5000 tons/11 million lbs), and most powerful rocket ever assembled.
And yet, despite its size, orbital-class rocketry in Earth gravity will almost never fail to benefit from more thrust; more propellant; more rocket. In light of this, CEO Elon Musk says that a theoretical next- next-generation SpaceX rocket – to potentially follow some years after Starship and Super Heavy – could be a full 18m (60 ft) wide, twice the diameter of its predecessors.
Many will recollect that doubling the diameter of a circle quadruples its area. Add in a doubling of height and a theoretical Starship 2.0 would have eight times the surface area and eight times the propellant tank volume, requiring roughly eight times as much thrust and making the vehicle eight times as heavy as Starship 1.0. Assuming that Starship’s successor retains its fineness ratio (height/width), an unlikely end result but still interesting to ponder, the vehicle would measure 18m (60 ft) in diameter and a terrifying ~236m (780 ft) tall, literally more than twice as tall as Saturn V. An 18m diameter would also make it the widest rocket ever built, with Saturn V’s S-IC first stage measuring 10m wide and the Soviet Union’s N1 ‘Block A’ first stage measuring an impressive ~17m in diameter at its widest point.
If the above assumptions are correct, a very rough estimate would peg Starship 2.0’s gross (fueled) mass at a gobsmacking ~40,000 metric tons (~90 million pounds). In the unlikely event that SpaceX would use the current generation of Raptor to power such a colossal rocket, the booster would need a bare minimum of 100+ Raptors just to lift off at all. Using Saturn V’s F-1, still the most powerful single-chamber rocket engine ever built, Starship 2.0 would need a minimum of 60+ engines to lift off.
For the time being, Starship and Super Heavy are plenty ambitious on their own, but it’s unsurprising to hear that SpaceX CEO Elon Musk already has some thoughts on what could follow that next-generation launch vehicle in the new decade. Still, it’s worth noting that quite possibly the craziest aspect of Starship – SpaceX’s utterly non-traditional attempt at rewriting the book on rocket manufacturing – could eventually make an 18m-diameter vehicle far more practical, assuming the company proves it’s methods can be used to build reliable, high-performance rockets.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
