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NASA is training SpaceX's first Crew Dragon astronauts for a much longer mission in space
NASA has revealed that the astronauts assigned to SpaceX’s Crew Dragon astronaut launch debut are training for a space station mission many times longer than initially planned.
Scheduled to deliver two NASA astronauts to and from the International Space Station (ISS) no earlier than (NET) late-April or May 2020, Crew Dragon’s Demo-2 mission will be the first crewed launch in SpaceX’s 18-year history. As previously noted on Teslarati (and by NASA itself, briefly), Demo-2 will also mark the first time in history that a privately-built spacecraft attempts to launch humans into orbit.
Still, NASA has funded the development of Crew Dragon (and competitor Boeing’s Starliner) not to achieve firsts but to restore the United States’ ability to launch its own astronauts to the ISS. Along those lines, both Crew Dragon (Demo-2) and Starliner’s (CFT) astronaut test flights were nominally designed to last about a week or two before returning NASA’s astronauts to Earth – a full end-to-end test for both extraordinarily complex vehicles. Two weeks, however, is simply not long enough for those astronauts to practically serve as full members of space station crew, something the ISS generally requires. In response, NASA has been seriously considering extending Boeing’s crewed test flight and has just recently suggested that SpaceX’s own Demo-2 test flight will be similarly upgraded.
About a month ago, SpaceX and NASA talked openly about the possibility of a longer-duration Crew Dragon astronaut launch debut for the first time, potentially extending the amount of time those astronauts are able to spend at the space station from about one week up to 1.5-3 months. This would allow Crew Dragon’s Demo-2 NASA astronauts – Bob Behnken and Doug Hurley – to serve as full members of the ISS crew, expanding the US presence from one to three astronauts.
Ars Technica’s Eric Berger offered some additional details about what exactly NASA might task Behnken and Hurley with on an extended flight earlier this month. Most importantly, the space agency wants the former astronaut – a Space Shuttle and extra-vehicular activity (EVA) veteran – to be (re)trained for spacewalks, allowing him to support an ever-growing to-do list of critical space station repairs and upgrades.
In effect, extending Crew Dragon’s astronaut flight test will make it almost identical to an “operational” flight where Crew Dragon ferries astronauts to the space station, docks for about six months, and finally returns the same astronauts to Earth at the end of its mission. More importantly, though, NASA’s decision to extend Commercial Crew Program (CCP) test flights – kickstarted with Boeing’s beleaguered Starliner spacecraft – is motivated by a desire to prevent the United States’ presence on the space station from dwindling or even regressing to zero in the near future.
Triggered by years of SpaceX and Boeing delays, NASA will now likely have to purchase more seats on Russian Soyuz launches if it wishes to maintain an full, uninterrupted presence on ISS for the next 12-24 months. After suffering numerous deeply concerning software failures on its first and only orbital launch, Boeing’s Starliner is unlikely to be ready to launch crew anytime soon. At the same time, although SpaceX is closer to its astronaut launch debut than ever before, it’s highly unlikely that Crew Dragon can singlehandedly support a full ISS complement of three NASA astronauts while Starliner works out its issues.
As such, NASA is looking everywhere it can to squeeze a bit more on-orbit time out of existing astronaut missions scheduled in the next year or so, and both Starliner and Crew Dragon’s test flights – barring showstoppers – are excellent opportunities. With NASA Johnson Space Center’s confirmation that both Behnken and Hurley are already deep into the extra training needed for an extended flight, chances are good that both astronauts will be ready for a one- or several-month mission by the time that NASA and SpaceX are ready and willing to launch.
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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
