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SpaceX’s second Starship hop imminent after Raptor static fire test

This photo of Starship SN5's August 4th hop debut is effectively exactly what SN6 went through - short of actually lifting off - on August 23rd. (SpaceX)

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SpaceX has successfully fired up a new Starship prototype’s Raptor engine, putting the company on track for its second Starship hop test as soon as this week.

The milestone comes not long after SpaceX Starship serial number 6 (SN6) completed its first cryogenic proof, a pressure test with liquid nitrogen (LN2) used to safely verify the structural integrity of tanks (and rockets, in particular). Measuring 9m (30 ft) wide and some 30m (~100 ft) tall, SpaceX rolled Starship SN6 from its Boca Chica, Texas factory to a nearby test and launch facility on August 11th and wrapped up its first acceptance test on August 16th.

Now, just seven days after its cryo proof, SpaceX has installed a new Raptor engine (SN29), prepared SN6 for a much riskier round of tests, and completed a static fire with said engine, leaving just one major step between the Starship and its hop debut. Of course, the process still had its fair share of hiccups.

SpaceX’s first SN6 static fire test window – published by Cameron County in the form of road closure notices – was set for 8 am to 8 pm CDT (UTC-5), August 23rd a few days after the Starship’s cryo proof. The first test attempt began around 9:30 am but was aborted soon after as SpaceX employees returned to the launch pad to (presumably) troubleshoot. The second attempt began around 2:30 pm, leaving a little less than half the test window available.

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Attempt #2 very nearly managed to extract a static fire, aborting possibly a second or less before Raptor ignition around 3:41 pm. Once again, SpaceX teams returned to the pad after Starship was detanked and safed, briefly inspecting the general location of the rocket’s Raptor engine before once again clearing the pad around 6:30 pm. At long last, Starship SN6 began a smooth and fast flow that culminated in the ignition of Raptor SN29 around 7:45 pm, just 15 minutes before the end of SpaceX’s test window.

SpaceX installed Raptor SN29 on Starship SN6 on August 18th. (NASASpaceflight – bocachicagal)
Five days later, that engine came to life as part of a Starship prototype for the first time. (LabPadre)

As with all SpaceX static fires, engineers must still analyze the data produced – and possibly inspect pad or rocket hardware – to verify vehicle health before proceeding into launch operations. Unlike all other SpaceX static fires, the company doesn’t announce the results of those tests – nor the solidified launch window – during prototype development programs. In the context of iterative aerospace development, while there may be such a thing as a “good” or “bad” test, all tests – as long as they’re performed safely and produce a large quantity of usable data – are essentially successful.

As such, it’s likely for the best that SpaceX doesn’t put the public focus on the “success” of any given test. Still, it means that unofficial educated guesses are typically the only way to determine the results of any given test and how those results impact the next steps. For SN6, the very broad-strokes conclusions one can draw from unofficial livestreams suggest that the Starship’s first Raptor static fire was a success. Assuming that the unknown cause(s) of the day’s two prior aborts were minor and easily rectified, SpaceX is likely exactly on schedule for Starship SN6’s first hop attempt.

SN6’s first flight is expected to be an almost identical copy of Starship SN5’s highly successful August 4th debut, following the same 150m (~500 ft) parabolic trajectory. Filed before SN6’s August 23rd static fire, SpaceX has penciled in Friday, August 28th for Starship SN6’s own hop debut. Thanks to the fact that SpaceX was able to complete both SN6’s cryo proof and static fire on the first day of their respective test windows, August 28th is likely well within reach. Stay tuned for updates as Starship SN6’s hop debut schedule solidifies.

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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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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

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.

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.

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.

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.

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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