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SpaceX preparing giant crane to assemble Starship’s first Florida launch tower
SpaceX has begun staging and assembling parts of a giant crane it will soon need to stack Starship’s first East Coast launch tower and install other major launch pad components.
The presence of the base of that crane at SpaceX’s NASA Kennedy Space Center (KSC) Launch Complex 39A was visually confirmed by NASASpaceflight.com photographers during a weekly aerial tour of the area on June 3rd. Four days later, Teslarati photographer Richard Angle observed more major crane components on their way to Pad 39A, including the crane’s cabin.
More likely than not, the crane SpaceX or its contractor has begun assembling at 39A is a Liebherr LR 11350, the same kind of crane the company used to assemble Starship’s first orbital launch site and tower in South Texas. In fact, given how few LR 11350s there are in existence, it’s entirely possible that it’s the exact same crane. Assembly of that crane began around April 2021 and took a month and a half, at which point it was finally ready to lift an extended boom long enough to assemble a tower almost 500 feet (~150 meters) tall.
Pad 39A’s Starship launch tower is expected to be very similar to Starbase’s, although it will undoubtedly carry over numerous design changes thanks to lessons learned while building and outfitting the first tower. In fact, SpaceX has already assembled five of the nine individual sections that will eventually be stacked to form that tower, and one such change is already obvious. Instead of stacking each tower section as soon as its barebones framework is complete, SpaceX is taking a more methodical approach to its second launch tower. In an apparent attempt to limit the amount of work that needs to be done at Pad 39A itself, each of those segments is being thoroughly outfitted with secondary structures (ladders, doors, walkways, frames, raceways, etc.) before stacking.
SpaceX may even pre-install most of the thousands of feet of plumbing needed to connect a Starship to ground systems located around 90 meters (~300 ft) below it. Once stacked, each section – including all those partial propellant and gas lines – will still need to be joined together, but that process should be far easier than fully installing all the systems the tower needs to do its job. Outfitting Starbase’s launch tower, for example, took SpaceX around half a year and, to some extent, is still ongoing 11 months after the final stack. That likely explains why Starship’s 39A tower section assembly appears to be taking more time. With any luck, partially combining the outfitting and section assembly stages will significantly expedite final assembly, as far less work will need to be done at extreme heights or require a skyscraper-sized crane.
Through Starbase, SpaceX has already demonstrated the ability to stack a Starship launch tower from its unoccupied concrete base to its final height of ~145 meters (~475 ft) in about two months flat. While SpaceX will have to slalom its way around Pad 39A’s busy launch manifest, there’s no reason to believe that Starship’s first Florida launch tower won’t be stacked at least as quickly.
Aside from the arrival of crane parts, SpaceX has also made great progress on the Starship launch site itself. In the last few weeks, the company appears to have completed several significant concrete pours on the tower base. SpaceX has also installed all six of the pedestal-like orbital launch mount’s legs after months of foundation work. Elsewhere at Cape Canaveral, a different team has made excellent progress assembling the massive donut-like platform that will sit on top of those legs. Due to its extreme weight (possibly around 300 metric tons, per Elon Musk’s comments on the Starbase mount), the same LR 11350 crane will also be needed for that major installation milestone.
Plenty of parts are still missing, of course. Four tower sections still need to be assembled. Starship’s first Florida launch tower will need its own set of two ‘chopstick’ arms for lifting and (maybe) catching Starship and Super Heavy, as well as a third swinging quick-disconnect arm to connect Starship to ground systems. Aside from delivering several new tanks, SpaceX has also made no apparent progress on adding a massive methane propellant farm to Pad 39A, and it’s possible that the pad’s oxygen farm will also need to be expanded. Propellant storage has proven to be a major headache for SpaceX at Starbase.
Nonetheless, SpaceX is making great progress on most of the most difficult parts of Starship’s first Florida launch site, and there’s a good chance that just like its launch mount, work on the pad’s tower arms is already underway somewhere offsite. A great deal of work remains to be done but SpaceX is still well on its way to launching Starships out of Kennedy Space Center in the not-too-distant future.
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
