News
SpaceX’s Mr. Steven returns with Falcon fairing half in net after drop test practice
Captured in a series of photos taken by Teslarati photographers Pauline Acalin and Tom Cross over several days, SpaceX Falcon fairing recovery vessel Mr. Steven and recovery technicians and engineers have been preparing and practicing for a campaign of controlled fairing drop tests.
By using a helicopter to lift and drop a fairing into Mr. Steven’s net, SpaceX will be able to gather an unprecedented amount of data and control far more variables that might impact the success of recoveries. If the fairing is not destroyed in the process, this test series could be as long-lived as SpaceX’s Grasshopper program, used to work the largest up-front kinks out of Falcon 9 booster recovery.
Mr Steven looks ready. Should be leaving port at some point today ahead of SAOCOM-1A launch scheduled for Sunday, Oct 7, 7:21pm PT #mrsteven #SpaceX pic.twitter.com/Hk7HLmMDra
— Pauline Acalin (@w00ki33) October 6, 2018
Although SpaceX technicians managed to reassemble and install Mr. Steven’s net and arm fairing recovery mechanisms in just a handful of days, finishing less than 48 hours before the West Coast launch of SAOCOM 1A, the ship remained in port for the mission, passing up its fifth opportunity to attempt recovery of one of Falcon 9’s two fairings halves. Why exactly Mr. Steven never left port is unclear and unconfirmed, although SpaceX did mention that recovery would not be attempted this time around during its official launch webcast.
The most likely explanation is mundane – sea states with average swells as large as 4m (13ft) were forecasted (and later recorded) at and around the optimal fairing recovery zone. As a Fast Supply Vessel (FSV) explicitly designed to rapidly and reliably resupply oil rigs and other maritime work areas almost regardless of weather conditions, 4m waves would normally be a tiny pittance for ships as large and heavy as Mr. Steven and would be a nonsensical reason to halt deep-sea operations.
- Thanks to their relatively high angle of attack, Mr. Steven’s newest arms should not seriously impact his stability, but there is a chance that they limit his operational envelope in high sea-states. (Chuck Bennett)
- Mr. Steven seen listing roughly 5 degrees to port during arm installation, July 10th. (Pauline Acalin)
- A few-degree list seen during fairing recovery practice, August 13th. (Pauline Acalin)
On the other hand, Mr. Steven is without a doubt the most unusual FSV in existence thanks to his massive arms and net, stretching at least 60m by 60m. Based on photos of the arm installation process, significant lists of 5+ degrees are not uncommon when arms are unbalanced during normal staggered (one-at-a-time) installations, and SpaceX quite clearly installs the first two arms on opposite sides and orientations in order to minimize installation-related listing. This indicates that his newest arms have significant mass and thus leverage over the boat’s roll characteristics, perhaps explaining why Mr. Steven has performed anywhere from 5-10 high-speed trials at sea both with and without arms installed.
Most recently, however, Mr. Steven spent a solid six weeks armless at Berth 240 while some sort of maintenance, analysis, or upgrade was undertaken with those four arms and their eight shock-absorbing booms. It’s hard to know for sure, but there are no obvious visual changes between the arms installed in July and August and those now present on his deck, and the net also looks almost identical.
Fairing drop tests?
What’s less familiar these days is an oddly arranged Falcon 9 payload fairing half that has been floating around SpaceX’s Port of Los Angeles berths for the last two or so weeks. Up until October 4th, the purpose of that single half was almost entirely unclear. On October 4th, Teslarati’s entire space team (Tom, Pauline, and I) coincidentally arrived at the same time as 5-10 SpaceX technicians were working on the fairing, attaching a series of guylines and harnesses and inspecting a number of actuating mechanisms on the half.

Just minutes after we arrived, a worker called out a short countdown and a wholly unexpected crashing noise sounded, followed immediately by several loud clangs as the harness connection mechanisms swung back and connected with metallic parts of the fairing. After the adrenaline wore off, the initial crashing noise was almost certainly the sound of the same mechanical jettison mechanism used to separate fairing halves ~3 minutes after the rocket lifts off.
Once photos of the event could be examined more carefully, that was exactly what we found – the six harness connections were attached to the fairing by way of the same mechanical interface that allows two halves to safely attach to each other. What we had witnessed was a harness separation test, using pressurized gas stored in COPVs (the gold striped cylinders) to rapidly actuate a latch, allowing the metal harness connectors to fall away. This is further evidenced by the presence of neon orange zip-ties connecting the ends of those harnesses to any sturdy fairing structure near the connection port, an easy and (presumably) affordable way to prevent those heavy connectors from swinging down and damaging sensitive piping and components.
- An overview of the weird fairing test article just before the harnesses were jettisoned. (Pauline Acalin)
- Note the taut, yellow ropes connected to the fairing at its original serparation connector ports. (Pauline Acalin)
- Zip-ties prevented the harness connectors from smashing (too hard) into the fairing’s innards. (Pauline Acalin)
- A Falcon 9 fairing during encapsulation, when a launch payload is sealed inside the fairing’s two halves. This small satellite is NASA’s TESS, launched in April 2018. (NASA)
According to someone familiar with these activities, the purpose of that testing is to prepare for true fairing drop tests from a helicopter. The jettisonable harness would be a necessity for easy drop testing, allowing the helicopter to carry a basic cargo hook and line while technicians inside communicate with the fairing to engage its built-in separation mechanism, all while ensuring that it immediately begins a stable glide or free-fall after dropping.
Observed on October 4th, it was at least moderately disappointing to see Mr. Steven remain in port during the spectacular Falcon 9 launch of SAOCOM 1A, October 7th. Reasons aside, roughly 12 hours after launch, Mr. Steven left on a 10+ hour cruise ~100 miles off the coast, where he repeatedly met up with tugboat Tommy and circled Santa Catalina Island once before heading back to port. Just 24 hours before launch (Oct. 6), the test fairing seen above was placed in Mr. Steven’s net for communications and harness testing – 24 hours after launch, Mr. Steven returned to Port of San Pedro after his 10-hour cruise with the same fairing half resting in his net.
- Mr. Steven returned to Port of San Pedro around 7pm 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. (Pauline Acalin)
- An overlay of the paths of travel of a test-related helicopter and Mr. Steven, both on Oct. 8. The yellow plane is the heli at the beginning of a hover, while the gap between blue triangles in the lower left is where Mr. Steven was during that hover. (MarineTraffic + Flightradar24)
How and why it got there is unknown, as is the purpose of half a day spent boating around with the half in his net. However, a helicopter known to be involved in fairing drop tests was seen hovering and flying around Mr. Steven at the same time. Perhaps the two were practicing for real drop attempts, or perhaps the helicopter actually dropped a Falcon fairing (from > 2000 feet) and Mr. Steven successful caught it.
What is clear is that SpaceX is just getting started with efforts to perfect fairing recovery and eventually make the practice as (relatively) routine as Falcon 9 booster recovery and reuse is today. The latter was hardwon and the former will clearly be no easier.
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News
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.








