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SpaceX is turning oil rigs into floating Starship spaceports named after Mars’ moons
Update: Responsible for initially connecting Phobos and Deimos to SpaceX, NASASpaceflight has all the details in a new article published earlier today. Check out their coverage for more information and some excellent photos – from the ground and the air – of one of the newest additions to SpaceX’s seagoing fleet.
Six months after CEO Elon Musk revealed that “SpaceX is building floating, superheavy-class spaceports” for its next-generation Starship rocket, the company has already purchased and begun converting at least two retired oil rigs.
In a rapid-fire series of investigations spurred by recent photos and suspicions published by photographer Jack Beyer, it was quickly determined that an oil rig mothballed for years in Port of Brownsville and a twin ship in nearby Galveston were purchased by “an undisclosed buyer” for ~$7 million in July 2020. Weeks later, owner Valaris (formerly EnscoRowan) officially filed for bankruptcy, explaining the sale of multiple half-billion-dollar assets for scrap prices.
An offshore drilling contractor and owner of one the largest fleets of oil and gas drilling rigs in the world, ENSCO built seven 8500-series deep-water, semi-submersible oil rigs in the late 2000s and early 2010s. ENSCO 8506, the last in the series, was built for an incredible $560 million from 2008 to 2012. Thanks to the crashing oil and gas market, SpaceX is now the proud owner of 8500 and 8501 – the first two ships in the series – for a mere $7 million.
It was quickly determined by NASASpaceflight reporter Michael Baylor that shell company Lone Star Mineral Development purchased the rigs. In the tweet’s replies, another user discovered that the LLC was directly connected to SpaceX CFO Bret Johnsen, indisputably confirming that SpaceX was the new owner of both oil rigs.
In its first act as owner, SpaceX fittingly renamed the rigs Deimos (8500) and Phobos (8501). While subverting the SpaceX norm of naming rocket landing platforms after starships from science fiction author Iain Banks’ Culture universe, the moons of Mars are a more than fitting alternative given the company’s intense focus on building a sustainable city on the planet.
The purpose of the newest additions to SpaceX’s fleet is both simple and unclear. While the company is currently hard at work building out a land-based launch complex for orbital Starship-Super Heavy launches, vast floating launch and landing platforms have also featured in SpaceX’s official artist concepts of the rocket for the last several years. At first centered on enabling suborbital airline-style Starship flights to and from coastal cities, where sea-based platforms would be a necessity to avoid domestic regulations and extreme noise pollution, Musk ultimately positioned sea-launch as a viable alternative or complement to any and all land-based Starship launch operations.
Most recently, in June 2020, the CEO stated that SpaceX “is building floating, superheavy-class spaceports for Mars, Moon, & hypersonic travel around Earth.” Now, with work already clearly underway to convert at least two oil rigs into Starship launch and landing platforms, that concept is far closer to reality. It remains to be seen how extensive (and thus expensive) the changes SpaceX needs to make to the platforms will be but it’s safe to say that the venture is a whole lot more plausible when a dying industry’s asset depreciation is so intense that a billion dollars worth of oil rig hardware can be bought for a mere $7 million just a decade after completion.
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.
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
