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SpaceX’s Florida Starship shown off in aerial footage as Texas prototype grows rapidly
Local amateur photographer and spaceflight fan Michael Tapes has graciously shared a new aerial view of SpaceX’s Florida Starship facility, where dozens of workers can be seen buzzing around what is hoped to become the first orbital-class prototype of the massive spaceship and upper stage.
Tapes’ aerial footage offers a unique look at the layout of SpaceX’s Florida site as of July 9th, illustrating just how active and expansive it is. Some workers can be seen building something (perhaps preparing a new worksite) under a large, white tent, while another group surveys two large Starship segments and a third works to prepare new stainless steel ring sections. Of note, those two large Starship segments appear to be bereft of any obvious activity, perhaps a consequence of a fire that caused about $100,000 in damage the day prior (July 8th).
In fact, the shipping container that took what looks like the entirety of fire-related damage is visible on the west side of the SpaceX facility’s main hangar. Workers could be seen heading inside the extremely scorched container, likely removing debris, cleaning up the site of the incident, and preparing to scrap the damaged container itself.
Thankfully, nobody was injured by the fire and ~$100K of damage is certainly an inconvenience but is definitely nothing more for a multibillion-dollar company like SpaceX. Given that dozens of vehicles are visible in the parking lot, it’s safe to say that tons of work is ongoing under the roofs of the site’s many covered buildings, potentially designing Starship/Super Heavy, working on the rocket’s first orbital-class thrust structures, building new steel ring segments, and much more. With any luck, work on orbital Starship assembly and integration has already resumed following the small July 8th fire.
Star(ship) Wars
Speaking of that work, prior to the last week or so of progress on SpaceX South Texas’ own orbital Starship prototype, both Florida and Texas appeared to be more or less tied with two large Starship segments each and various other 9m-diameter subsections spread around their respective facilities. Impressively, Boca Chica has been marked by a flurry of recent work as multiple in-process steel rings were stacked on top of the Texas Starship’s propulsion and tankage section.
In just the last two weeks of June, workers thus pushed through the brutal South Texas heat and humidity to stack three new sections of fuselage, literally doubling the height of Boca Chica’s (hopefully) orbital-class Starship prototype in a dozen or so days. The ship’s conical nose section continues to be polished, while some sort of additional work is likely going on inside, away from public view. It’s hard to get a good overhead view but it’s safe to assume that – in the large barrel sections both in Florida and Texas – technicians are working to install (or at least prepare for) stainless steel tank domes, one of the last major finishing touches for spacecraft’s tank sections.
A huge amount of work remains for both sites but the visible progress as new ship segments are stacked and welded together is undeniably cathartic and satisfying. Working 10-12 hour shifts exposed to the Texas and Florida summer sun, heat, and wildlife is in no uncertain terms bound to be a hellish experience, but at least the hard work is so obviously producing results.
The most exciting kind of grass-watching
Back in Florida, several additional Starship barrel sections are in various stages of work, at least two of which appear to be nearly ready for stacking atop the propellant tank section already being assembled. Meanwhile, propellant tank domes were spotted in different stages of fabrication inside the Florida facility’s main hangar-cum-production-line, awaiting their turn to leave the building and prepare for installation on Starship East.
All said and done, once those visible segments are installed, Starship East will (at least by appearances) be neck and neck with its Texas sibling once more. In reality, there is likely no actual race between the two sites and they are reportedly sharing any critical discoveries and lessons-learned. Nevertheless, humans are notoriously competitive and one can only begin to imagine the (hopefully friendly) rivalry forming between the geographically distinct teams.
At the same time, SpaceX’s Florida team has several home-field advantages, so to speak, owing to their proximity to the several hundred SpaceXers working at the company’s Florida launch facilities and recovery fleet. Additionally, Florida’s Starship facility is just a few dozen miles away from SpaceX’s Kennedy Space Center Pad 39A, the most likely site of Starship’s (and Super Heavy’s) first suborbital and orbital launch attempts.
At the end of the day, a little friendly internal competition and – more so – a literal Starship A/B test are bound to be a huge benefit for SpaceX’s next-gen launch vehicle program, significantly increasing the speed at which the company can make mistakes, solve problems, and get Starship ready for orbit.
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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
