Connect with us

News

SpaceX’s Mr. Steven returns with Falcon fairing half in net after drop test practice

Published

on

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.

Advertisement

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.

 

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.

Advertisement

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.

First spotted at Berth 52 (JRTI’s home), the particular fairing half appears to both be significantly unfinished and potentially cobbled together from hardware not meant for flight. Note the writing on the leftmost port: “NOT FOR FLIGHT … SCRAP”. (Pauline Acalin)

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.

 

Advertisement

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.

 

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.

Advertisement

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.


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!

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

Advertisement
Comments

News

Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’

Published

on

Credit: SpaceX

Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.

Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.

The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:

Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.

SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.

SpaceX’s newest Starmind will make earth data centers obsolete

Advertisement

Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.

Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.

This “Starmind” constellation could position the company as a leader in space-based computing.

SpaceX as an Emerging AI Powerhouse

Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.

Advertisement

The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.

Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.

While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.

Advertisement
Continue Reading

Elon Musk

Elon Musk sheds details on Tesla FSD’s upcoming improvements

Published

on

Credit: Tesla

Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.

Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”

Elon Musk says your Tesla will start to learn your individual preferences

This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.

Advertisement

It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.

Highway Lane Preferences

The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.

Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.

Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.

Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.

Parking Preferences

This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.

Advertisement

The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:

However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.

Advertisement

Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:

It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.

Advertisement

The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.

This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.

Continue Reading

Elon Musk

Elon Musk says your Tesla will start to learn your individual preferences

Published

on

Credit: Tesla

Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.

Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”

Advertisement

This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.

Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.

These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.

READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:

Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance

Advertisement

If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.

For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.

Advertisement

That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.

This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.

Continue Reading