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SpaceX’s Mr. Steven preparing for first Falcon 9 fairing catch attempt in months
SpaceX recovery vessel Mr. Steven has spent the last several weeks undergoing major refits – including a new net and arms – and testing the upgraded hardware in anticipation of the vessel’s first fairing catch attempt in more than four months.
Required after a mysterious anomaly saw Mr. Steven return to Port in February sans two arms and a net, the appearance of a new net and arms guarantees that SpaceX is still pursuing its current method of fairing recovery. Above all else, successfully closing the loop and catching fairings could help SpaceX dramatically ramp its launch cadence and lower costs, especially critical for the affordable launch of the company’s own Starlink satellite constellation.
The Saga of Steven
For a few months of 2019, it was entirely conceivable that SpaceX had all but given up on catching Falcon fairings, having spent the better part of 2018 without a single success during both post-launch and experimentally controlled catch attempts. Admittedly, a year may feel like a huge amount of time, but SpaceX has demonstrated just how hard the reliably successful recovery of orbital-class rocket hardware really is.
Depending on how one examines the history of Falcon 9, it took SpaceX anywhere from ~30 and ~70 months and either 7 or 9 failed recovery attempts before the first Falcon 9 booster successfully landed in December 2015. Excluding helicopter-based fairing drop tests, Mr. Steven and SpaceX’s fairing recovery team have made five attempts to catch fairings in the vessel’s net after Falcon 9 launches. All have been unsuccessful, with the closest miss reportedly landing in the Pacific Ocean just 50 meters away from Mr. Steven’s massive net.
In January 2019, Mr. Steven sailed ~8000 km (5000 mi) from Port of Los Angeles to Port Canaveral, passing through the Panama Canal. For unknown reasons, during a trip out to sea to catch a Falcon 9 fairing in February, Mr. Steven abruptly turned around early and arrived in port missing two of four arms, four of eight booms, and the entirety of its custom net. The remaining arms/booms were removed and the vessel spent roughly three months docked with just a handful of excursions.
In late May, technicians rapidly installed new arms and booms, as well as a new (and blue) net, bringing about the end of months of inactivity. Mr. Steven has yet to venture beyond the safety of Port Canaveral since its new ‘catcher’s mitt’ was installed, but SpaceX has been testing the new setup by repeatedly lowering a Falcon fairing half into the net. It’s too early to raise expectations but it seems plausible that the iconic recovery vessel will be ready to attempt its first fairing catch in ~4 months as part of Falcon Heavy’s next scheduled launch, currently NET June 22.
A challenger approaches…
Although Mr. Steven’s prospects look better than they have in months, SpaceX’s fairing recovery engineers and technicians have not been sitting on their hands. Begun as a check against the growing possibility that reliably catching fairings in a (relatively) small net is just too difficult to be worth it, SpaceX has been analyzing methods of reusing fairings without Mr. Steven. Most notably, despite the failure to catch fairings out of the air, the fairing halves themselves – relying on GPS-guided parafoils – have proven to be capable of reliably performing gentle landings on the ocean surface.
This consistently leaves the fairings intact and floating on the ocean but at the cost of partial saltwater immersion and exposure to surface-level sea spray and waves. At least in today’s era of highly complex large satellites, customers typically demand that payload fairings (like Falcon 9’s) offer a clean room-quality environment once the satellite is encapsulated inside. Sea water is full of salt, organic molecules, and water, all three of which do not get along well with extremely sensitive electronics. The whole purpose of recovering and reusing fairings is to make their reuse more efficient and less expensive than simply building a new fairing. The task of cleaning composite structures to clean room-standards after salt water exposure and immersion tends to be less than friendly to both aspirations.
According to SpaceX CEO Elon Musk, however, that challenge may be distinctly solvable and could even be easier than the Mr. Steven approach. After Falcon Heavy’s commercial Arabsat 6A launch debut in April 2019, Musk again confirmed that SpaceX would be ready to test that alternate method of fairing reuse very soon and plans to do so on an “internal” (i.e. Starlink) launch later this year. As noted below, this is helped by the fact that SpaceX’s internally-developed Starlink satellites apparently have no need for the acoustic insulation panels that normally protect sensitive spacecraft from the brutal acoustic environment produced by rockets while still in Earth’s atmosphere.
For fairing reusability, the lack of those panels is just one less thing to have to worry about cleaning or replacing. Intriguingly, it’s easy to imagine that – much like SpaceX has apparently designed Starlink satellites to be resistant to intense acoustic environments – the company could have also required that they be tough enough to tolerate a less-than-pristine fairing environment. With that approach, SpaceX could continue to build new fairings for every customer launch, entirely amortizing their production cost before transferring the ‘dirty’, flight-proven fairings to internal Starlink launches.
In essence, SpaceX’s customers would quite literally be paying the company to build the very Falcon 9 boosters and fairings it will ultimately use to launch its massive Starlink constellation, requiring hundreds of launches over the next decade. The faster and more efficiently SpaceX can build and launch Starlink, the faster it can develop Starship/Super Heavy and entirely transcend any concerns of salty fairings (let alone expendable upper stages). But in the meantime, Mr. Steven will return to his catching duties and SpaceX will continue to attempt to reuse payload fairings.
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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
