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SpaceX considers Florida launch pad for both Falcon and Mars vehicle launches
Following a highly informative discussion at the ISS R&D conference, Elon Musk revealed that the updated, leaner version of SpaceX’s Mars architecture would likely have a diameter of around 9 meters.
A 9m Interplanetary Transport System, while precisely 25% smaller than the 12m diameter version revealed last year, would have to either lose the outer ring of full scale Raptor engines, or pivot to a smaller version of Raptor in order to preserve the 42 engine configuration shown at the IAC. Given Musk’s adamant and harsh judgement of the complexity of 27 Merlin 1D engines simultaneously firing on Falcon Heavy, moving to a 21 engine first stage for SpaceX’s Mars vehicle is a fair bet, so long as the full scale Raptor engine is still planned. Extremely speculative calculations based on the limited information available suggest that this smaller ITS could launch a bit less than half the payload of the original, still almost double the capability of Saturn V.
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- A Space Shuttle’s external tank makes its way through downtown Los Angeles in 2011. The ET had a diameter of 8.4m. (AP/Chris Carlson)
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- The base of SpaceX’s ITS booster, circa 2016. Current plans make it likely that the outside ring of engines will be subtracted and the vehicle made leaner. (SpaceX)
Possibly the most significant information to come out of this tweet is the implication that SpaceX and Musk are now looking to utilize current manufacturing facilities for the construction of a smaller ITS. While it adds considerable expense, the transport of a Space Shuttle’s external fuel tank through the streets of Los Angeles in 2011 sets a precedent for it being possible for SpaceX to transport a 9m vehicle from its factory in Hawthorne, CA to a nearby port. If SpaceX is able to use the same facilities it currently has for developing its Mars vehicle, it would experience immense savings compared to the cost of developing entirely new factories and testing facilities. This matches up perfectly with Musk’s repeated statement that the updated ITS is focused on improving the economic case for the vehicle and making it significantly cheaper to develop.
A 9m diameter vehicle fits in our existing factories …
— Elon Musk (@elonmusk) July 22, 2017
Possibly the most crucial keystone of this economical update relates to the launch pad or pads that will be necessary to launch a rocket as large as either ITS. An oft-overlooked feature of the current LC-39A launch pad SpaceX leases and operates in Florida is that it and its LC-39B sibling were developed with a far larger and more powerful version of Saturn V in mind, known as Nova at the time. SpaceX is well aware of this, and is also painfully aware of just how expensive the construction of launch pads can be after having to undertake deep repairs of LC-40.
Mockups of potential solutions for a dual vehicle setup at LC-39A. With this arrangement, SpaceX would be able to continue crewed and Falcon Heavy launches from the pad while conducting initial tests and launches of their ITS. (Jay Deshetler, in addition to Cameron Byers and John Archer, based on notes from KSC pad engineers)(NASASpaceflight)
Buried in a fascinating article by Chris Bergin of NASASpaceflight.com fame, Bergin has revealed that documents and rumblings behind the scenes indicate that SpaceX is seriously considering either co-launching from LC-39B or modifying LC-39A with a second launch mount. This would require considerably modifications to the venerable pad, but it would not require the costly and time-consuming construction of an entirely new launch pad. Speculative renders and mockups (above) created by the skilled forum members of NASASpaceflight demonstrate this nicely, showing the launch mount for ITS and Falcon side by side.
Combined with Musk’s past statements about this updated version of ITS, the future is looking increasingly bright for what was initially a somewhat crazy architecture. Easier transport, recycled development facilities, and co-location on an already-constructed launch pad show that SpaceX are completely serious about their ambitions for Mars and are willing to do what is necessary to get to the Moon, the Red Planet, and beyond.
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
