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SpaceX’s Mr Steven just misses catch, returns with intact Falcon 9 fairing
SpaceX appears to have successfully retrieved both halves of a Falcon 9 payload fairing intact, despite failing to catch them with recovery vessel Mr Steven.
Near the end of the company’s Iridium-6/GRACE-FO launch webcast, SpaceX engineer John Insprucker said that Falcon 9’s two payload fairing halves had both successfully deployed their parachutes and landed in the Pacific Ocean, also stating that Mr Steven “came very close” to success in an attempt to catch a fairing half in an upgraded net. The vessel’s return to port confirmed this, showing both fairing halves on board Mr Steven’s long utility deck, apparently intact and in great condition aside from saltwater immersion.
Per SpaceX VP of Mission Assurance Hans Koenigsmann, anything more than incidental exposure to sea spray appears to preempt any attempt at fairing reuse, meaning that perfectly intact fairing halves recovered from the surface of the ocean are incapable of flying on future commercial Falcon 9 missions. While he did not go into detail, it’s probable that SpaceX’s inability to reuse ocean-retrieved fairings derives from the extremely clean environments satellites are designed to survive in. Before reaching the vacuum of space, arguably the ‘cleanest’ environment that exists, satellite payloads (be it cameras, antennae, solar panels, can be generalized as extraordinarily sensitive collections of electronics and sensors that remain in clean-room environments throughout their time on Earth. This extends to the environment inside the payload fairing, and cleaning a fairing from seawater organics, particulate matter, and the general risk of outgassing would likely be so expensive and tedious that it would run counter to SpaceX’s goal of lowering the cost of launch with reusability.
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- Both fairing halves from SpaceX’s Iridiium-6/GRACE-FO spied aboard Mr Steven after docking. (Pauline Acalin)
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- While unreusable due to seawater immersion, it’s possible that these halves will take part in a drop test campaign mentioned by CEO Elon Musk. (Pauline Acalin)
Although they cannot be operationally reused, these and past halves presumably have been or will be invaluable as hardware pathfinders, assisting engineers and technicians in their pursuit of ultra-precise, reliable landings in Mr Steven’s net.
Mr Steven, a shiny new Fast Supply Vessel, has been extensively modified by SpaceX in its role as recovery vessel, most notably including massive claw-arms and a large, yellow net intended to allow the boat to catch parasailing payload fairings just before they impact the ocean surface. This requires an impressive level of accuracy and precision, given the fact that SpaceX’s payload fairings are typically traveling more than two kilometers per second at a peak at altitude of anywhere from 100-200 kilometers (functionally in space) at the point of separation, while Mr Steven’s net (the landing target) is at least a magnitude smaller than even SpaceX’s drone ships. With that in mind, it should come as little surprise that SpaceX has required ten or more failed attempts to get to the point where they are confident that a fairing half can successfully be captured in Mr Steven’s net.
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- By all appearances, both Iridium-6/GRACE-FO fairing halves were retrieved intact from the ocean surface. Note the tiny technician installing a tarp inside one half. (Chuck Bennett, Instagram @chuckbennett)
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- SpaceX’s fairing recovery vessel Mr Steven captured at high speed from a drone. (SpaceX)
Given how close SpaceX apparently was this time around, it’s all but inevitable that one of the next two or three California launches will feature the first truly successful fairing catch, paving the way for routine reuse of the ~800 kg, $3m halves. SpaceX’s next launches from Vandenberg Air Force Base are tentatively scheduled for the first half of July, late September, and October.
Thanks to Chuck Bennett for permitting Teslarati to use several of his photos of Mr Steven’s sunset return to Port of San Pedro. Follow him at his Instagram account @chuckbennett.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
