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SpaceX schedules Starship’s first triple-Raptor static fire test
A photo posted by CEO Elon Musk confirms that SpaceX has successfully installed three functional Raptors on Starship SN8 just hours before road closure notices revealed the company’s first triple-engine static fire schedule.
Technically, it’s incorrect to say that Starship serial number 8 (SN8) is the first prototype to receive three Raptor engines. Back in late-September 2019, in the lead-up to Musk’s promised Starship update event, the company installed three Raptors on the first full-scale prototype, known as Starship Mk1. The engines were only installed as an apparent fit test or even a photo opportunity, however – evidenced by the fact that they weren’t actually plumbed to the Starship’s propellant tanks.
Even then, in September 2019, Starship Mk1 was far from ready to make use of Raptor engines and was more than a month away from attempting its first pressure and cryogenic proof tests – tests it quickly failed. As such, Starship SN8 – having more or less successfully passed its ‘cryo proof’ by October 9th – is undoubtedly the first ship to have a shot at igniting multiple Raptor engines at once.
Curiously, SpaceX remained quiet for several days after Starship SN8 passed its first big test. Whereas with past Starship prototypes SpaceX has often filed test plans (appearing in the form of road closures) even before the current phase of testing is complete, the company waited until Tuesday, October 14th to file closure notices for “SN8 static fire” testing.
Same as Starships SN4, SN5, and SN6, all of which successfully graduated from cryo proof to static fire testing (and even flight tests for the latter two), SpaceX began Starship SN8’s test campaign with a cryo proof. It took three days and at least as many attempts but SN8 ultimately “passed cryo proof” according to Elon Musk, likely meaning that the ship reached sustained pressures of 7.5 bar (~110 psi) or more.
Cryo proof complete, SpaceX installed Starship SN8’s engines – the first time multiple Raptors have been fully integrated with a rocket or test stand – in preparation for another Raptor first: multi-engine static fires. While modern computation fluid dynamics (CFD) and modeling mean that the great unknowns of rocket propulsion are rarely as opaque as they used to be, the first test of multiple powerful engines in close proximity is still a guaranteed recipe for surprises.
Thanks to expertise hard-won from nearly 100 Falcon 9 and Falcon Heavy launches, SpaceX is likely the world’s foremost expert in the challenges and dynamics of the proximity operation of more than two rocket engines. At the same time, though, Raptor is a dramatically different engine than Merlin 1D and while Starship will only have six engines at most, those six engines will produce thrust equivalent to almost two entire Falcon 9 boosters.
In other words, even with a (relatively) simple three-Raptor static fire, SpaceX will be treading new ground and will almost certainly end up learning one or several things about Raptor’s design and operation. More likely than not, SpaceX will begin Starship SN8’s static fire test campaign with a wet dress rehearsal (like a cryo proof but with real liquid methane and oxygen propellant) and transition into a Raptor spin prime (turbopump spin-up) or preburner test (a turbopump spin-up but with partial combustion) if the WDR goes smoothly. If all three Raptor engines appear healthy, SpaceX may recycle and attempt the first static fire just an hour or two later.
Starship SN8’s triple-Raptor static fire test window opened at 9pm CDT on October 14th and closes at 6am on the 15th, with an identical 9pm-6am backup on the 15th and another window from 8am to 4:30pm on the 16th. LabPadre (below) will continue to offer 24/7 views of Starship, including any static fire testing, while NASASpaceflight.com will likely provide live coverage once testing begins in earnest.
Tesla Full Self-Driving is going to be getting a major parking upgrade. That’s according to CEO Elon Musk, who detailed a crafty new feature that will improve parking preferences, removing a layer of human input.
Musk said that upcoming releases of Full Self-Driving will “remember your parking preferences.” It will go to the location you prefer, based on where you’ve parked in the past, instead of taking the first spot available, which is where the suite is currently.
The CEO went on to explain that destination parking is “by far” the biggest reason for intervention during FSD operation. We’d have to believe this is true; many takeovers in my Model Y, which runs the latest version of FSD as it is in the Early Access Program, are due to parking because it chooses a spot I do not want to be in.
Many times, as soon as I enter a parking lot, I take over and park manually. I prefer to park away from the entrance of wherever I am, away from cars. Too many lessons learned over the years from people with free-swinging doors.
Upcoming releases of FSD will remember your parking preferences, so that the car goes to the right location at your home, office, school drop off, etc.
Destination parking is by far the biggest reason people now intervene with FSD. Critical safety interventions are extremely…
— Elon Musk (@elonmusk) June 17, 2026
We’d imagine these new updates will also solve things like parking orientation. Let’s say when you arrive at work, you always park in the third spot in the third row, and you prefer to back in. It seems as if Musk is implying that your car will now do this, learning from takeovers and aiming to eliminate the need to manually park whenever possible.
This is a major upgrade because parking is a major shortcoming of FSD currently. We’ve requested things like manual input of parking preferences, choosing to park far away, first available, or away from cars, for example.
This is a big reason Parking Preferences with Supervised FSD will be so valuable.
If possible, parking a little further away and being distant from people like this is worth it. https://t.co/1YqQLgnfTz pic.twitter.com/3Ac71KQiQ3
— TESLARATI (@Teslarati) June 7, 2026
However, some have used the option of dropping a pin at the location you’d like to park at your destination. This has worked some of the time, but FSD will still choose to park in whatever it sees first.
Musk did not give a timetable for when the improvements would be released, but it is likely to come soon. Tesla has been releasing a new FSD version every few weeks, so we may not have to wait long to test it.
In a remarkable demonstration of how advanced vehicle technology can intersect with family care and rapid response, a Tesla Model Y equipped with Full Self-Driving (FSD) Supervised helped save a driver’s life during a severe heart attack. The incident, which occurred on November 15, 2025, highlights the life-saving potential of Tesla’s connected ecosystem.
John Brandt, 55, was driving his new 2026 Model Y Launch Edition on Interstate 20 from Atlanta toward Birmingham early that morning. He had recently received the FSD v14.1.3 update. Around 3:50 a.m., he began experiencing severe chest pain. Barely conscious and unable to safely control the vehicle, John managed to call his son, Jack Brandt.
FSD Supervised remained engaged, keeping the car steadily on course while John reached out for help.
As an authorized driver on his father’s Tesla account, Jack quickly sprang into action from his own phone. He located Tanner Medical Center in Carrollton, Georgia—a facility equipped for cardiac emergencies—via Google Maps and shared the destination directly through the Tesla app.
A Model Y driver started experiencing a medical emergency with chest pain mid-drive & called his son.
His son then remotely rerouted the car – which had FSD Supervised enabled – to the nearest hospital & let them know the vehicle was en route. ER staff were standing by on… pic.twitter.com/yi1tHISK9y
— Tesla North America (@tesla_na) June 16, 2026
The Model Y responded immediately, rerouting: it took the next exit, turned around on I-20, navigated local roads, and pulled directly up to the emergency room entrance. Jack also alerted hospital staff that a heart attack patient was en route in a Tesla.
Doctors diagnosed John with a massive STEMI heart attack, requiring immediate intervention on three blocked arteries. They later confirmed that without the swift reroute, John likely would not have survived—whether he had pulled over to wait for an ambulance or attempted to continue driving. He received life-saving treatment and is now recovering fully.
Tesla shared the story on X, including an interview video featuring John and Jack reflecting on the event. John described the terrifying onset of symptoms, while Jack detailed the ease of remote intervention thanks to the app’s features. Only authorized users with vehicle access can change navigation destinations, adding a layer of security and family coordination.
This case underscores Tesla’s emphasis on connectivity and supervised autonomy. Features like remote navigation allow loved ones to assist in real-time emergencies, while FSD handles complex driving tasks reliably. Tesla notes that FSD Supervised requires active driver supervision and is not fully autonomous; this was a specific incident, not a general emergency protocol.
The story has resonated widely, with many praising Tesla’s technology for bridging gaps in critical moments. Jack previously shared details on social media in February 2026, and Tesla’s recent post has amplified its reach. As vehicles become smarter and more connected, such integrations could redefine personal safety on the road—turning cars into proactive partners in health crises.
For Tesla owners, the incident serves as a powerful reminder to add trusted family members as authorized drivers and explore FSD capabilities. While no technology replaces professional medical care, this blend of AI-assisted driving and seamless app control proved invaluable. John’s survival stands as a testament to innovation that prioritizes human life.
In a bold declaration on X, xAI CEO Elon Musk announced that its model will be capable of creating full movies by the end of the year. Quoting an xAI post showcasing a stunning AI-generated trailer for Homer’s The Odyssey, Musk simply stated: “Full movies by the end of the year.”
The quoted video, created entirely with the newly released Grok Imagine Video 1.5, demonstrates the rapid strides in AI video generation. Crafted by creator David Thompson, the 2-minute-plus trailer reimagines the ancient epic in the style of a 1970s classical Hollywood blockbuster. It features 36 meticulously consistent shots that form a cohesive narrative world.
Full movies by the end of this year https://t.co/kkBrngWA0X
— Elon Musk (@elonmusk) June 17, 2026
Its realistic nature is truly mind-blowing, and it’s pretty amazing to think that it cool to think it could create an entire movie soon.
The trailer reimagines The Odyssey as a whole, and opens with a concept board outlining the vision: a retelling of the story using 35mm film aesthetics, classical framing, and other elements.
There are a handful of things that truly outline Grok’s capabilities:
- Scale and Physics: A bloodied Spartan helmet rests on a sandy battlefield amid smoke, marching armies, and flocks of birds. Horses gallop, chariots charge, and warriors clash with believable weight and motion.
- Emotional Depth and Dialogue: Close-ups capture intense expressions, as characters deliver lines like a warrior’s grief-stricken speech on a rocking ship.
- Cinematic Workflow: It’s hard to believe AI created this trailer, as editing and suspense are clearly detailed in this trailer
Now, why is this a big deal? AI has been a real threat to the way movies have been made over the past several decades. It’s no secret that the various AI platforms out there are becoming more capable, but Musk has said that he believes things would be “watchable” by the end of this year, and by the end of 2027, Grok would be able to create “really good” movies.
There are several issues that remain, most notably the ability to remain cohesive throughout the length of a film, energy requirements, copyright questions for training data, and artistic intent. Hollywood has created some of the greatest cinematic masterpieces over the past 100 years, but 2026 could be the year AI not only assists but also independently authors cinema.
Tesla Full Self-Driving is getting a major parking upgrade, Elon Musk says
Tesla Full Self-Driving and App Connectivity save life in medical emergency
