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SpaceX’s new Falcon 9 fairing recovery ship kicks off sea trials ahead of next launch
After a brief installation period, SpaceX’s second Falcon 9 fairing-catching ship departed Port Canaveral to begin sea trials with its new net and arms, a critical step before it can be declared ready to attempt its first fairing recovery.
Known as GO Ms. Chief, the ship’s first opportunity could come as early as a few weeks from now, potentially marking a major milestone for SpaceX’s fairing recovery and reuse program.
On his first shoot for Teslarati, photographer Richard Angle (@RDAnglePhoto) managed to capture Ms. Chief while departing Port Canaveral on October 23rd, heading a few miles off the coast to kick off sea trials likely focused on proving out a wide range of new hardware installed in the last month. Those trials began less than 24 hours after technicians installed Ms. Chief’s recovery net for the first time ever, with the ship’s subsequent trip into the Atlantic Ocean essentially marking the completion of her transformation from fast supply vessel (FSV) to SpaceX fairing catcher.
SpaceX is currently in the midst of its longest lull in launch activity since September 2016, likely triggered by the unavailability of customer payloads and the company’s own internal Starlink missions. Unfortunately, although the lull was initially expected to end as early as mid-October, the internal Starlink launch (Starlink-1) expected to lead the charge slipped about a month for unknown reasons and is now expected no earlier than November – likely in the second half of the month.
As a small consolation, Starlink-1’s launch delays mean that the newly-outfitted Ms. Chief may be able to inaugurate its new net and arms by attempting to recover one of the mission’s Falcon 9 fairing halves, while the nearly identical GO Ms. Tree attempts to snag the other half. Even if more tweaking and sea trials are needed to prove her readiness, SpaceX’s next launch is still likely several weeks away, hopefully giving the company’s recovery team plenty of time to prepare Ms. Chief and practice recovery operations.
As of October 2019, SpaceX has successfully caught two Falcon fairing halves during the company’s last two back-to-back recovery attempts, beginning with a Falcon Heavy fairing half caught on June 25th and ending with a Falcon 9 fairing half caught on August 7th. Beyond Ms. Tree’s two catches, SpaceX has successfully recovered a number of additional fairing halves after they performed soft landings in the Atlantic Ocean, including both halves launched in May 2019 for the company’s first dedicated Starlink mission.
Given that SpaceX has technically caught two halves of a payload fairing, it’s possible that one is female and the other male, potentially meaning that one of SpaceX’s upcoming Starlink launches could feature the first fully-reused Falcon 9 fairing. Regardless, assuming one or both were recovered in good condition, it’s even more likely that at least one half (with the other half new) will be reused on one (or both) of those upcoming flights.
Said by CEO Elon Musk to make up approximately 10% of the cost of a new Falcon 9 (~$6M), routine fairing recovery and reuse would close the last remaining loop for Falcon 9 reusability, with boosters and fairings accounting for roughly 75-80% of the total cost of the rocket. SpaceX has no plans to attempt to recover or reuse Falcon 9’s second stage, choosing instead to prioritize development of the fully-reusable Starship launch vehicle.
Preparing the oven-cured carbon composite shells that make up the bulk of SpaceX’s Falcon fairings takes a disproportionate amount of time and factory floor space. Even if Falcon fairings can only be reused once or twice, it would effectively double or triple the effectiveness of the current manufacturing apparatus, cutting the relative cost of production by 50% or more for the price of operating Ms. Tree and Ms. Chief.
Fairing reuse will be a critical part of ensuring that the first phase of SpaceX’s Starlink constellation can be launched as affordably as possible on Falcon 9. With at least 24 launches needed to cover most populated areas, cutting even a few million dollars per launch could produce savings on the order of $100M, equivalent to the production cost of 100-200 Starlink satellites.
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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
