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SpaceX reveals Falcon fairing recovery progress as Mr. Steven barely misses catch
SpaceX has offered an extraordinary glimpse into a stealthy program of Falcon fairing recovery research and development, which has utilized drop tests and iterative hardware and software upgrades to inch ever closer to fairing reuse over the last 6-9 months.
Short of a small handful of sparse comments made by executives in 2018, this is the first time SpaceX has officially acknowledged its continued attempts to optimize Falcon fairing recovery in the face of a number of missed post-launch catches. Given that the pictured fairing was so close to a successful landing that its parafoil actually became caught in Mr. Steven’s net, it seems that SpaceX has nearly solved the problems that have thus far prevented program success.
Recent fairing recovery test with Mr. Steven. So close! pic.twitter.com/DFSCfBnM0Y
— SpaceX (@SpaceX) January 8, 2019
In the last six months of 2018, SpaceX has continued to tease its slow progress towards reusable Falcon fairings, originally planned to depend on a truly bizarre solution – Mr. Steven. An impressive vessel on its own, SpaceX has gradually added and extended and upgraded a range of recovery hardware on his deck, most notably including a vast net (likely tens of thousands of square feet or 2000+ square meters) supported by four huge arms and eight supporting booms. Despite increasing the usable area of the net, SpaceX has been unable to secure an operational fairing catch since it began attempts in March 2018.
In late May 2018, SpaceX provided the best look yet at the actual process of recovering Falcon fairings, showing off the guided parafoil (a wing-like parachute) and revealing that a fairing half – launched in support of Iridium-6/GRACE-FO – had splashed down just 50 meters (~165 ft) away from Mr. Steven’s net.
Falcon 9 fairing halves deployed their parafoils and splashed down in the Pacific Ocean last week after the launch of Iridium-6/GRACE-FO. Closest half was ~50m from SpaceX’s recovery ship, Mr. Steven. https://t.co/JS7d5zTdIg pic.twitter.com/LjiTwnB4wd
— SpaceX (@SpaceX) May 31, 2018
However, in the months that followed, info about catch attempts became increasingly sparse and it eventually became clear that SpaceX was preparing to perform a range of controlled drop tests a few hundred miles off the coast of California. Ultimately, the company’s engineers and technicians hoped to use the controlled environment and a greater number of available drop/catch attempts to refine the hardware and software needed to finesse fairing halves into Mr. Steven’s net.
It may be almost absurdly large relative to any other conceivable thing that exists in the real world, but a few thousand square meters is actually more like a needle in a haystack for a piece of rocket traversing a 500-800 km arc at top speeds of more than 2 km/s.
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- Mr. Steven seen after his most recent December 2018 drop and catch test. (Pauline Acalin)
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- After an audible “3..2..1”, a sharp noise much like compressed gas being released was followed by a clang as the harness dropped. (Pauline Acalin)
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- SpaceX’s fairing recovery fleet technicians were seen performing a bit of an unexpected ride aboard a Falcon 9 fairing half on September 19th. (Pauline Acalin)
In December 2018, following another sadly unsuccessful fairing recovery attempt on the West Coast, SpaceX CEO Elon Musk revealed that engineers were also apparently looking into backup plans in case closing that last 50-meter gap turned out to be more expensive or complicated than it was worth. Most notably, he implied that SpaceX was interested in finding ways to waterproof and ultimately refly Falcon fairings even after soft-landings in seawater, whereas fairings are already capable of reliably landing intact in the ocean but cannot be reused due to seawater contamination and cracking caused by impact.
Falcon fairing halves missed the net, but touched down softly in the water. Mr Steven is picking them up. Plan is to dry them out & launch again. Nothing wrong with a little swim.
— Elon Musk (@elonmusk) December 3, 2018
Given just how close Mr. Steven appears to be to a successful in-net fairing recovery, it now seems implausible that SpaceX will choose just one of the two options at hand, likely instead progressing both development programs to points of success. Once fairings can both be successfully waterproofed and caught in Mr. Steven’s net, SpaceX will almost certainly have itself a foolproof solution to easy and reliable recovery and reuse even in bad sea states and stormy weather.
With the company’s first launch of 2019 probably just a few days away, chances seem good that SpaceX will attempt at least one more post-launch fairing recovery with Mr. Steven. Fingers crossed!
For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!
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
