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SpaceX installs Raptor Vacuum engine on first orbital-class Starship
Update: Providing the best views yet of the Raptor Vacuum installation process, SpaceX began installing one of Starship S20’s six engines (one of at least two recently trucked to the launch site) on Monday morning.
It remains to be seen exactly how many engines will be installed on Ship 20 or how many will be ignited during its first static fire test but barring the delivery of more Raptors, signs currently point to an initial test of two engines – one sea-level-optimized Raptor Center (RC) and one Raptor Vacuum with a much larger nozzle. Whenever Ship 20 does fire up those engines, it will be the first static fire of a RVac engine installed on a Starship and the first simultaneous, side-by-side static fire of two different Raptor variants. Since publishing time, SpaceX has cancelled a Tuesday road closure, pushing Starship S20’s first static fire attempt to no earlier than (NET) Wednesday evening.
For the third time in two months, SpaceX has begun installing Raptor engines on its first orbital-class Starship prototype – hopefully for good.
In no uncertain terms, Starship 20’s (S20) path to what could be its last Raptor installations has been about as windy and mysterious as they come. Starship 20 (S20) left the Starbase factory floor for the first time in early August – all six Raptors installed in another program first – for a brief fit check and photo op. After spending about an hour installed on top of Super Heavy Booster 4 (B4), Ship 20 was removed and returned to the build site, where teams removed all six engines and finished wiring and plumbing the vehicle.
Days before the ship’s long-anticipated trip to Starbase’s suborbital launch site for qualification testing, the mount SpaceX prepared for the process quickly had hydraulic rams – used to safely simulate Raptor thrust – were abruptly removed. Starship S20 was then installed on the Pad B mount, where SpaceX proceeded to reinstall six Raptors. Weeks later, after slow heat shield repairs neared completion, SpaceX again removed Ship 20’s Raptors and reinstalled the hydraulic rams it had removed – unused – the month prior. Finally, on September 30th, some seven weeks after the prototype arrived at the suborbital launch site, SpaceX put Starship S20 through its first major test – a lengthy ‘cryoproof’.
Now, ten days after completing a seemingly flawless cryoproof test on its first try, SpaceX has once again trucked multiple Raptors – at least one sea level and one vacuum engine – from the Starbase build site to Starship S20’s suborbital test stand. From the outside looking in, it’s hard not to view the contradictory path S20 took to its first tests – and is still taking to its first static fire(s) – as an unusually visible sign of some kind of internal tug of war or major communication failure between different SpaceX groups or executives.
It’s impossible to determine anything specific beyond the apparent fact that several of the steps taken from Ship 20’s first factory departure to its first cryoproof and static fire tests could have probably been deleted entirely with no harm done and many dozens of hours of work saved. At the end of the day, Starship S20 completed cryoproof testing without issue on the first try and is now seemingly on track to begin its first static fire test campaign later this month.
At the moment, SpaceX has three possible static fire test windows scheduled from 5pm to midnight CDT on Tuesday, Wednesday, and Thursday (Oct 12-14). A similar Monday window was canceled days ago on October 7th, suggesting that more cancellations are probably on the horizon. For now, there’s a chance that Starship S20 – with anywhere from two to all six Raptor engines installed – will fire up for the first time before next weekend. It’s hard to say how exactly SpaceX will proceed. It’s not inconceivable that SpaceX will install all six engines and gradually ramp up to a full six-engine static fire over several tests.
Given that SpaceX has already static fired three Raptor Center (RC) engines on multiple Starship and Super Heavy prototypes, odds are good that Starship S20’s test campaign will be similar – beginning with a three-Raptor static fire, in other words. SpaceX could then add one, two, or all three Raptor Vacuum engines into the fray for one or more additional tests with 4-6 engines total. It’s also possible that suborbital launch mount and pad limitations will prevent more than three engines from firing at once, in which case SpaceX would presumably perform two separate tests of Ship 20’s Raptor Center and Raptor Vacuum engines.
Given that two Raptor variants have never been static fired simultaneously on the same vehicle, it’s hard to imagine that SpaceX won’t also want to perform one or several combined static fires with Raptor Vacuum and Raptor Center engines on Ship 20.
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:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
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.
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:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
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.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK— TESLARATI (@Teslarati) May 29, 2026
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:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L— TESLARATI (@Teslarati) June 3, 2026
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:
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:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
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 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.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
