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SpaceX Starship Mk1’s most important tests yet could begin just hours from now
SpaceX’s South Texas Starship Mk1 prototype is on the verge of kicking off a critical period of ground tests, ranging from tank pressurization and propellant loading to the rocket’s first triple-Raptor engine static fire. The campaign could begin soon – perhaps as soon as later today, in fact.
Over the last two weeks, SpaceX’s South Texas team has faced bad winter weather, among the many other challenges associated with building giant rockets almost entirely out in the elements. Nevertheless, company technicians and engineers continue to check off task after task along the path towards Starship Mk1 completion, the next-generation launch vehicle’s first full-scale, high-fidelity prototype.
In the month of November alone, SpaceX has (re)installed Starship Mk1’s nose and aft section flaps (this time outfitted with heavy-duty actuator mechanisms), nearly completed the process of routing and integrating the vehicle’s external liquid and gas plumbing, and more or less finished a barebones launch mount. Starship Mk1 was snugly attached atop that launch mount around the start of the month and workers have continuously swarmed around the rocket and pad in scissor and boom lifts and ever since, closing out umbilical connections, insulating cryogenic propellant pipes, and much, much more.
Within the last week or so, SpaceX has apparently also begun the process of expanding its presence around its existing Boca Chica pad facilities, where Starship Mk1 is preparing for testing. The purpose of that expansion is unclear, but the first phase – extending the existing square landing pad – is essentially complete and will presumably give Starship Mk1 a better chance of successfully landing in the event that its first skydiver-style landing attempt is not as accurate as predicted.
Based on official renders/mockups in SpaceX’s updated 2019 launch animation, it could also eventually become the foundation of a much more permanent integration and processing hangar, much like the hangars that SpaceX uses to integrate Falcon 9 and Heavy at its Florida and California launch sites. It could even be the foundation for a dramatically larger Super Heavy-class launch mount and water-cooled flame deflector like the one shown in that same video. For now, Starship Mk1 will begin testing (and presumably first flights) off of a minimal steel mount that was built up from almost nothing in barely two months.
No nose, no problem?
As previously discussed on Teslarati, the testing Starship Mk1 is preparing for could take a number of routes to completion, but all of those routes will likely involve several main events. First, SpaceX may or may not decide to do a preliminary tank proof test with neutral (i.e. non-explosive) liquid nitrogen, which would verify the structural integrity and determine if there are leaks in what is essentially a building-sized pressure vessel.
SpaceX may instead skip that – it would require a vast and unwieldy quantity of liquid nitrogen – and move directly into the first cryogenic propellant loading test, in which SpaceX would attempt to fully fill Starship’s tanks with liquid oxygen and liquid methane. Assuming Starship Mk1 is 1:1 scale, that could involve as much as 1200 metric tons (2,650,000 lbs) of propellant, more than twice as much fuel as a Falcon 9.
In other words, Starship’s inaugural propellant loading attempt will be almost at the same scale as Falcon Heavy’s, which took several attempts, broke some hardware, and was a major learning experience and challenge on its own. A structural failure or explosion could be absolutely catastrophic, as those ~1200 tons of fuel and oxidizer could act as a massive bomb under the right conditions.
According to road closure notices published by Cameron County, SpaceX is expected to begin operations that require road closures as early as November 18th from noon to 8 pm CST, with backups on the 19th and 20th. Another window opens on the 25th at the same time, with backups on the 26th and 27th. To be clear, there is no official word that SpaceX actually means to start cryogenic ground testing with Starship Mk1 today, but it’s not necessarily out of the question.
Whenever SpaceX does decide to start Starship Mk1 ground testing, it will be an immensely important milestone, signifying the start of the period that will essentially determine whether SpaceX’s deeply unusual manufacturing methods can build a structurally-sound, high-performance rocket prototype for pennies on the dollar. In simple terms, if Starship Mk1 behaves as planned, commercial spaceflight may never be the same.
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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
