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SpaceX’s next Starship hop a step closer after ‘cryo proof’ test
SpaceX appears to have successfully completed one of three major tests standing between a new Starship prototype and the rocket’s next hop.
Known as a cryogenic proof test (“cryo proof”), signs currently point towards a success on Starship SN6’s first try – albeit an hour or two past the end of the planned test window. The proof was planned between 8 am and 5 pm CDT (UTC-5) on August 16th with identical backup windows on Monday and Tuesday in the event of an abort or delay. Thankfully, in a breath of fresh air after many Starship SN5 test delays, SpaceX had no such need.
With the help of local sheriffs, SpaceX closed the highway around 10:15 am and pressurized Starship SN6 with ambient-temperature gas (likely nitrogen) around half an hour later. As usual, the company took its time while the Starship prototype effectively came to life for the first time. Around 2.5 hours later, the Starship began visibly venting for the first time as it operated dozens of valves to maintain safe tank pressures.
To perform a cryogenic pressure test, SpaceX effectively performs a wet dress rehearsal (WDR) – a test that simulates a full launch flow short of liftoff – with no engine installed. To prevent leaks or hull breaches from turning potentially catastrophic during what is often the first major test of a prototype, SpaceX loads Starship with liquid nitrogen (LN2) instead of liquid methane and oxygen propellant. During that process, Starship’s thin steel skin will quickly drop to arctic temperatures, becoming cold enough that it will literally freeze the water vapor out of any ambient air it comes in contact with.
Around 1 pm local, the first sign of that frost sheath appeared but remained a sliver before disappearing around 2 pm. Starship SN6 then hung around for an hour before testing activities appeared to restart. Close to 5:40 pm, almost an hour after SpaceX’s August 16th window was meant to close, frost reappeared on Starship SN6’s hull and rapidly crept up the side of the massive rocket.
Starship SN5’s own cryo proof test – completed on June 30th – debuted apparent upgrades to SpaceX’s South Texas launch facilities, loading the rocket with hundreds of thousands of gallons of LN2 in 15-20 minutes. The ability to load huge quantities of cryogenic propellant very quickly will be critical for SpaceX, as Starship’s efficiency will decrease substantially as its propellant warms. Along those lines, Starship SN6 became the second prototype to be rapidly loaded with liquid nitrogen, going from nearly empty to nearly full in ~15 minutes.
SN6 detanked over the next hour or so and SpaceX opened the road and had a team back on the pad to inspect the rocket by 7:40 pm. At some point during the test, SpaceX likely actuated hydraulic arms attached to Starship’s engine section to simulate the stresses of Raptor thrust under cryogenic loads. Either way, SpaceX was apparently satisfied with the results of Starship SN6’s first cryo proof and proceeded to cancel two backup windows scheduled on August 17th and 18th – a consistent sign that things either went very right or very wrong.
In the case of SN6, nothing was distinctly amiss or different during its cryo proof, pointing towards a successful test. If that’s the case, SpaceX will begin removing the hydraulic Raptor simulator to install an actual Raptor engine and will scheduled road closures for an imminent static fire test. Prior to that actual Raptor ignition test, SpaceX may choose to perform a wet dress rehearsal (WDR) on its own or partially test Raptor by igniting its preburners to momentarily spin up its turbopumps. The company could also integrate both of those precursor tests into the same window as the static fire itself.
If those tests go according to plan, Starship SN6 could be ready for SpaceX’s second full-scale hop ever just a week (or less) later. CEO Elon Musk says that the company’s current goal is to perform multiple Starship tests until the process is fast, smooth, and consistent.
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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
