News
SpaceX ships Starship hardware from Florida to Texas to speed up production
After appearing unexpectedly at SpaceX’s Port Canaveral docks last month, several large pieces of Starship flight and manufacturing hardware were successfully shipped from Florida to Texas, arriving at the company’s Boca Chica build and launch site two weeks ago.
Previously discussed on Teslarati, the hardware transfer signals a significant shift in the development strategy for SpaceX’s next-generation Starship-Super Heavy launch vehicle. Most notably, SpaceX has chosen to prioritize Texas in the near term while the company’s Florida facilities instead aim for longer-tail milestones like the first Super Heavy-capable launch site and a new production facility located much closer to that launch site.
While the hardware SpaceX has sent over is relatively minor in the scope of producing a brand new Starship prototype, it will at least somewhat expedite the process thanks to the inclusion of what appears to be a completed propellant tank dome. Additionally, it’s possible that this December 8th hardware delivery will not be the last – a large amount of hardware remains at SpaceX’s Cocoa, Florida Starship production facility, including several ring sections and a nearly finished nose section, among a number of other parts.
As discussed last month, SpaceX has reportedly decided to more or less shutter its Cocoa facilities, transferring all permanent employees who wished to stay to Boca Chica, TX, Cape Canaveral, FL, or Hawthorne, CA facilities. SpaceX’s Starship presence in Florida is in no way done but it does sound like it’s in for at least several months of downtime.
“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.
Schlang’s source says that 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.”
Teslarati.com — December 2nd, 2019
In line with that, SpaceX loaded transport ship GO Discovery with two large steel mounts and a finished tank dome originally believed to be intended for Starship Mk4 and Florida Starship production in general. Those parts arrived in Texas around five days later on December 8th and were rapidly moved from Port of Brownsville to SpaceX’s Boca Chica production facilities.
The ring-like steel structures will likely take the place of (or complement) the concrete structures SpaceX used to mount and assembly Starship Mk1. Likely significantly lighter, steel ring mounts allow far easier access underneath for technicians and engineers while also being much easier to transport in the event that SpaceX wants to reorganize its Starship ‘factory’.
Since arriving at the Boca Chica build site, SpaceX stored the assembly rings off to the side while the Starship Mk3 tank dome (i.e. bulkhead) was situated more centrally. So much is going on at SpaceX’s Boca Chica facilities that it’s no longer easy to determine what is being worked on just from observing, but it’s clear that the employees are working around the clock to prepare for Starship Mk3 assembly.
One or two new tank domes in various states of production are visible, contractors are constructing a warehouse-sized sprung structure (i.e. tent), and technicians are working to refine improved methods of forming the cylindrical steel rings that make up most of Starship. It can’t yet be said that Starship Mk3 has truly begun to take shape, but it’s clear that the goal is to ensure that the process is dramatically faster than it was with Starship Mk1, which took at least half a year to go from first ring stacking to pressure testing.
It’s safe to say that 2020 is going to be an incredibly busy and productive time for SpaceX’s next-generation rocket.
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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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
