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SpaceX returns intact fairing half on clawboat in post-launch surprise

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Despite a statement from SpaceX CEO Elon Musk that the Iridium-5 mission’s fairing recovery attempt had failed due to a twisted parafoil, Teslarati captured photos of clawboat Mr Steven arriving in the Port of San Pedro early Saturday morning with an apparently intact fairing half.

Not to be confused with the first successfully recovered fairing that returned to land in late February, this half is undoubtedly fresh from Iridium-5’s Friday morning launch. The $2.5 million, carbon composite aluminum fairing half recovered during SpaceX’s PAZ mission on February 22 is currently being stored and scrapped at SpaceX’s brand new port real estate – Berth 240, or the same location that was selected as the probable location for SpaceX’s first BFR manufacturing facility.

Compared to Musk’s previous comments during the first intact fairing recovery in late February, it would seem that Iridium-5’s fairing was all but doomed when it “impacted [the] water at high speed,” and the majority of fans appeared to have concluded as much. Following PAZ, Musk tweeted that the Mr Steven had “missed by a few hundred meters, but fairing landed intact in water” –  as an incredibly optimized and lightweight structure, a fairing half would likely have to land very gently to avoid breaking into pieces. That Mr Steven’s crew was able to bring the Iridium-5 half aboard all but guarantees that it was floating intact on the ocean surface after touching down.

This does not necessarily contradict Musk’s diagnosis of a twisted parafoil, assuming he was referring to the lines that connect the fairing to the foil – paragliders frequently suffer tangles and twists in their lines, an event that typically warps the parafoil’s structure, thus lowering the amount of lift it can produce as a wing. This is an inevitable risk of what is basically a self-inflating wing, and failures of this sort are known to kill or injure paragliders at low altitudes and can also lead to uncontrolled spinning (although that is very unlikely to occur with a 1000kg payload).

A NASA experiment in the late 90s examined the use of a parafoil to enable gentle, guided landings of an orbital escape pod – the experiment was quite successful. (NASA)

Ultimately, GPS-guided parafoils have been done fairly successfully and many times over during the past two or so decades. For the most part,the problems preventing SpaceX from recovering fairings in Mr Steven’s net have been almost entirely solved: the fact that two fairing halves have been recovered intact after their last two Western launches confirm as much. SpaceX engineers have somehow found a way to enable a highly flexible, lightweight, and aerodynamically awkward lifting body to survive a journey from heights of 110+ km and speeds of more than 2250 meters per second.

SpaceX’s fairings may look unassuming dressed in their subtle soot and simple curved lines, but – as SpaceX has intoned in the past – if landing massive Falcon 9 boosters after launch is akin to “launching a pencil over the Empire State building and having it land on a shoebox on the other side…during a wind storm,” recovering the relatively minuscule and light fairings can be fairly compared to launching a paper bowl over two stacked Empire State Buildings in a tornado and catching it with one hand behind your back on the opposite side – all without ripping, folding, or denting it.

 

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SpaceX is 99% of the way to successful and routine fairing recovery and reuse and the final 1% is all about testing and subtle refinement. Future fairing recovery attempts may even be streamed in real time on SpaceX’s webcasts, according to Musk.

Follow us for live updates, behind-the-scenes sneak peeks, and a sea of beautiful photos from our East and West coast photographers.

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Pauline Acalin  Twitter

Eric Ralph Twitter

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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Tesla piggybacks recent Supercharger feature with update that takes it further

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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

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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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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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