News
SpaceX Starship hardware mystery solved amid reports of Florida factory upheaval
A SpaceX Starship hardware mystery has been effectively solved after rocket parts arrived at Port Canaveral and were loaded aboard a transport ship, seemingly preparing for an unexpected journey by sea.
In an unexpected turn of events, SpaceX appears to be preparing to ship major Starship hardware from its Cocoa, Florida facility to a similar worksite in Boca Chica, Texas. Spotted for the first time in a photo taken by local photographer Greg Scott on November 30th, that hardware – at least two large stands and a nearly-complete steel tank dome – abruptly appeared beside SpaceX’s Port Canaveral dock space.
Seemingly within hours of their appearance, new vessel GO Discovery also arrived in Port Canaveral and parked by the same SpaceX docks. Shortly thereafter, workers loaded her with both build stands and a Starship tank dome and secured the surprise cargo. As it turns out, another local SpaceX-follower and prolific photographer/videographer happened to capture the disappearance of both stands and dome from SpaceX’s nearby Cocoa, FL Starship construction facility, where Starship Mk2 and Starship Mk4 were being built.
This neatly ties up the minor mystery of where that hardware went: SpaceX clearly moved all three parts to Port Canaveral, where they have since been loaded on a small supply ship. Two main questions remain, however: why have they been moved to the port and where are they headed?
The band is breaking up
Unfortunately, it appears that both questions can effectively be answered by a report published by YouTube channel “What about it?!”. According to former Cocoa employee that spoke to reporter and channel creator Felix Schlang, SpaceX has reportedly transferred up to 80% of the Starship facility’s workforce to other groups in Florida and Texas. Instead of the friendly internal competition that pitted Cocoa against Boca Chica in the race to first Starship flight, SpaceX is temporarily slowing down its Florida build operations and will redirect as much of its workforce and resources as possible to Boca Chica.
According to Schlang’s source, this will likely result in several months of relative downtime in Florida, while he was also told that Starship Mk2 and Mk4 are now effectively dead before arrival as a result of several challenging and reoccurring technical issues. Starship Mk2 likely shares some significant heritage with Starship Mk1, which lost its top during a pressure test. Roughly two-dozen steel Starship Mk4 rings may also be scrapped after SpaceX’s Florida team could not overcome a technical hurdle. Per the source, many of those single-weld steel rings were slightly different diameters, making it next to impossible to build a sound pressure vessel (i.e. Starship Mk4) with them.
Combining the appearance of Starship hardware on GO Discovery just yesterday and reports of major Cocoa layoffs, it’s all but certain that the Starship components on Discovery are going to head to Boca Chica, Texas. Schlang’s source also indicated that all affected employees were given the option to transfer to Boca Chica or Hawthorne, a prime indication that this abrupt change in plans is more a strategic move than a financial one. With any luck, most affected employees will be able to transfer to Florida pad operations or Boca Chica, although such a major and abrupt change is likely a no-go for anyone with major ties to South Florida.
The Starship dome and stands now likely headed for Boca Chica were built over the course of a month or two in Florida, meaning that they were either built under the impression that they would support Boca Chica’s Starship Mk3 prototype or repurposed after SpaceX decided to pause work in Cocoa. Of note, something like 8-12 of Starship Mk4’s steel rings were able to be stacked and all of those double-rings are still present at SpaceX Cocoa, while a number of single rings were indeed scrapped over the last few weeks. A header tank was also reportedly removed from Starship Mk2’s more or less finished nose section. If any of that hardware is technically viable, there’s a good chance that they may also be shipped to Texas to expedite Starship Mk3 integration.
Ultimately, given how rapidly SpaceX makes and changes decisions, pausing work in Cocoa doesn’t come as much of a surprise. It’s also far from the end of SpaceX’s Florida Starship-building efforts – Schlang indicates that SpaceX will instead focus on a similar facility located within Kennedy Space Center, making the process of building Starships offsite and transporting to Launch Pad 39A far more viable.
With this latest surprise, it also appears that SpaceX is now laser-focused on getting Starship Mk3 ready for South Texas flight testing. Stay tuned for an update on a flurry of recent developments at SpaceX’s Boca Chica Starship facilities.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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.”
News
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
