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SpaceX techs work towards Falcon 9 fairing recovery with wacky series of experiments

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8 years ago

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Over the course of the past week, Teslarati photographer Pauline Acalin has captured a multitude of unusual occurrences at SpaceX’s Port of Los Angeles dock space, each time involving a Falcon fairing recovery vessel like Mr Steven or NRC Quest, a Falcon fairing half (flight-proven or otherwise), and one of several attenuating circumstances.

More likely than not, what appears as a menagerie of weird and disconnected events on the sidelines is actually a reasonably organized leg of a larger program, in this case focused on experimentation and testing to close the fairing recovery loop and secure Mr Steven’s first successful fairing catch.

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The mystery of Catalina Island

Now-iconic fairing recovery vessel (or net-boat, or claw-boat) Mr Steven has been out of commission since late August, at which point SpaceX technicians removed all four of his arms and their eight complementary shock absorber booms towards unknown ends. If SpaceX’s past is any judge, those arms are probably in the process of being upgraded, but it’s impossible to judge thanks to the fact that they have simply disappeared from the Berth 240 docks where they were briefly stored. SpaceX certainly has a way with transporting massive, ungainly objects without stirring a whisper.

Despite lacking arms for more than a month, Mr Steven has still performed a number of sea-trials, ranging from average jaunts a few miles away to a mysterious armless test described in the tweet above. Why exactly Mr Steven was involved in an experiment involving a helicopter “picking an item” – in this case a flight-proven Falcon fairing – off of a vessel while entirely lacking the arms and net he would use to catch said fairing is entirely unclear. Perhaps it was meant to test a datalink or a change to fairing recovery hardware. Whatever transpired, a group of SpaceX technicians certainly flew to Catalina Island and were working alongside or with a Blackhawk helicopter capable of externally carrying up to 3600 kg (8000 lb) of cargo.

 

Multipurpose recovery vessel NRC Quest – nominally dedicated to Cargo Dragon spacecraft recoveries – returned to SpaceX-leased Berth 240 a few hours after the September 20th test window closed, sooty Falcon 9 fairing half in tow. Still, this certainly isn’t the weirdest Falcon fairing-related activity to occur last week.

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Fairings aplenty

Meanwhile, over at Mr Steven’s old berth and drone ship Just Read The Instructions’ current berth, a different Falcon fairing half appeared sometime in the last several days in an unusual state, seemingly either fresh out of the factory or in an advanced state of disassembly. The base of this particular fairing half seems to be entirely missing the usual layer(s) of material (cork, among other things) used to waterproof and act as a lightweight heatshield. A new fairing half sitting out in the elements with zero protection would be exceptionally unusual, as CEO Elon Musk has noted that they each cost several million dollars ($3m to be precise), and exposure outside of a cleanroom could very well prevent this half from ever being operationally flown.

A mystery Falcon fairing – perhaps new, perhaps flight-proven – appeared at SpaceX’s old Port of San Pedro berth in the last few days. (Pauline Acalin)

The next best conclusion to be drawn is that this unique fairing half is new or flight-proven (with skin and shielding removed), but sitting at SpaceX’s dock space in order to prepare for one or several active drop tests in pursuit of Mr Steven’s first successful fairing catch. But who really knows, to be honest. The fairing’s bare carbon fiber composite construction is certainly a sight to behold, one way or another.

Doing…something.

This leads us to the grand (perhaps… titanic) finale of wholly unexpected Falcon fairing activities over the last several days. Presumably making the best of an opportunity to test NRC Quest’s ability to recover Falcon fairings after splashdown (i.e. missing Mr Steven’s net), the pictures generally tell the story better than any words ever could. Keep your eyes peeled for Fairing Wrangler job openings.

Up next for SpaceX, Mr Steven, and the West Coast recovery crew is SAOCOM-1A, scheduled to launch from California’s Vandenberg Air Force Base on the evening (Pacific Time) of October 6th.

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!

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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.

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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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2 hours ago

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June 4, 2026

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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13 hours ago

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June 3, 2026

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

Published

14 hours ago

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June 3, 2026

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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