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Mr. Steven returned to Port of San Pedro around on October 8th after a day spent at sea, apparently with a Falcon fairing half in tow. This is the second known time that a fairing has been in Mr. Steven's net. The fairing was eventually lifted off around noon the following day. Mr. Steven returned to Port of San Pedro around on October 8th after a day spent at sea, apparently with a Falcon fairing half in tow. This is the second known time that a fairing has been in Mr. Steven's net. The fairing was eventually lifted off around noon the following day.

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SpaceX fairing recovery vessel Mr. Steven’s owner abruptly files for bankruptcy

Mr. Steven returned to port in October with a Falcon fairing half in his net after a day of testing. (Pauline Acalin)

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The legal owners of SpaceX’s sole fairing recovery vessel are in dire financial straits, signaled by business owner Steven Miguez’s decision to file for bankruptcy as a last chance of protecting Seatran Marine, a company which owns and leases eight utility vessels known as crew boats.

Mr. Steven, leased by SpaceX in late 2017, is one of those crew boats, although he has since been dramatically modified to support a series of consecutively larger arms, nets, and other various components in hopes of eventually catching Falcon 9 payload fairings out of the air. While there is most likely no serious risk of SpaceX actually losing access to Mr. Steven, this development still raises the question of what will happen to the ship in the near and more distant future.

As indicated in the tweet above, the ultimate outcome – at least for the time being – is simple uncertainty, as Chapter 11 bankruptcy filings will prevent Miguez from having to foreclose on Mr. Steven in the short term. If the Miguez family can rapidly find a solution for its money troubles, all could proceed unchanged. However, with all due respect to the owners and to Seatran Marine’s employees, Chapter 11 bankruptcy simply is not easily undone and is generally a last resort to be used only after all alternative solutions have been exhausted. Chapter 11 bankruptcy proceedings can take anywhere from a few months to several years to complete, tending to take longer as the scale and complexity of the filing party grows.

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An overview of Mr. Steven on November 10th, shortly after his new arm’s cables were attached. (Pauline Acalin)

Making the best of a bad situation

Leased by Seatran to operator Guice Offshore (GO), SpaceX’s primary fleet manager on both coasts, GO (and thus SpaceX) had contracted to pay at least $3300 a day to use Mr. Steven, although that contract expired in October 2018. The new terms are unclear and it’s unknown if a replacement contract has yet to be signed.

Given the situation at hand and despite the sad financial circumstances facing the vessel’s owners, SpaceX may be in the best position yet to purchase Mr. Steven outright, assuming the company expects to continue attempting Falcon fairing recoveries for the indefinite future. In 2015, namesake Steven Miguez took out a $22.5M loan to cover Mr. Steven’s construction costs, offering a rough price ceiling for the modern, high-performance Fast Supply Vessel (FSV). While the most obvious interested buyer would be GO itself, it’s unlikely that the company has a sum of that size to offer, meaning that GO would need to take out its own loan to acquire the ship.

 

SpaceX, on the other hand, quite literally just closed a debt funding round of $250M, terms unknown, leaving the company more than enough liquid capital to enable a cash transaction assuming there is some interest in becoming Mr. Steven’s legal owner. SpaceX already owns its two operational autonomous spaceport drone ships (ASDS) outright and has extensively modified Mr. Steven to support fairing recovery, quite literally building its prototype recovery apparatus around the rented vessel. As the vessel’s new owner, SpaceX could likely keep contracting to GO for general operations and support, perhaps even continuing to lease Mr. Steven to GO to create as few waves as possible.

By selling Mr. Steven outright, Miguez could likely acquire more than enough funds to preserve Seatran Marine and its subsidiaries long enough to recover his financial footing and return his companies to a stable state.

Business as usual?

In the meantime, it does not appear that these unfortunate legal issues have had a tangible impact on GO and SpaceX’s near-term ability to operate Mr. Steven. Around November 20th, SpaceX and GO crew performed the most recent of a series of Falcon fairing recovery tests, dropping a half from a helicopter to provide Mr. Steven a comparatively controlled environment to practice catches. Earlier this month, CEO Elon Musk appeared to imply that Mr. Steven would not attempt to catch Falcon 9’s fairing halves following the West Coast launch of SSO-A, at the time scheduled for November 19th.

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Since then, SSO-A’s flight-proven Falcon 9 launch has slipped a full two weeks thanks to a combination of additional inspections and bad weather, now targeting launch NET December 2. It’s a stretch, but there is at least a slight chance that SSO-A’s excessive launch slips could mean that Mr. Steven will be able to attempt fairing recovery after all, at least per Musk’s suggestion that SpaceX would “try again next month”.

https://www.instagram.com/p/BqtGWFxADOk/

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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