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NASA awards SpaceX five more Dragon astronaut launch contracts
NASA has finalized plans to purchase another five Crew Dragon launches from SpaceX, securing its astronauts access to the International Space Station (ISS) through 2030.
The award comes three months after NASA issued a notice of intent to purchase five additional missions from SpaceX. The space agency signed a different contract for three more Crew Dragon launches just three months before the latest order, meaning that NASA has now purchased eight new Crew Dragon launches from SpaceX in six months – doubling the spacecraft’s future launch manifest in the process.
August 31st’s order adds Crew missions 10 through 14 to Crew Dragon’s roster and brings its total number of planned operational NASA astronaut launches to 14. NASA says the five extra missions will cost $1.44 billion and raise the total value of SpaceX’s Crew Dragon CCtCap contract to $4.93 billion.
Factoring in a sum of approximately $2.74 billion that funded development and three test launches, NASA will ultimately pay an average of $328 million for each of 15 productive Crew Dragon astronaut launches (including Demo-2, the spacecraft’s first crewed test flight). Assuming four astronauts fly on each operational launch, the average price per astronaut launched through 2030 will be $85 million.
With its latest contract, NASA will beat that average and pay $288 million per launch ($72 million per astronaut). Crew-10 through Crew-14 will likely occur in the late 2020s, meaning that the space agency may be saving even more money than is immediately obvious. Assuming an inflation rate of 2.5% over the next eight years, $288 million today could be worth around $235 million in 2030. SpaceX is not paid until after its services are rendered.
NASA’s decision to award SpaceX eight new Crew Dragon launch contracts in 2022 is a major blow to its second Commercial Crew provider, Boeing, which has received zero additional orders. It also emphasizes just how good of a deal the agency got with SpaceX. Once said to be “well positioned to fly [its] first crew in early 2020,” Boeing’s Starliner crew capsule finally completed its first (mostly) successful uncrewed test flight in May 2022. Boeing and NASA are now working towards February 2023 for the spacecraft’s first crewed test flight, delaying Starliner’s first operational astronaut launch until late 2023 at the earliest.
Starliner still has only six operational launch contracts, which date back to ta guarantee in the original 2014 CCtCap awards that promised 2-6 operational launch contracts per provider. Thanks to NASA’s fixed-price contract with Boeing, the agency won’t have to cover the almost $700 million that years of Starliner delays and a test flight do-over have cost the company to date, but taxpayers will still end up paying a total of $4.49 billion – $748 million per operational Boeing astronaut launch.
Even using iffy Boeing calculus that claims NASA will get five seats of value per launch by adding an extra astronaut or cargo, the space agency would end up paying $150 million per astronaut through 2030. If only four astronauts launch on each Starliner, the average price per seat rises to $187 million.
Unless Boeing is able to find a commercial customer willing to burn tens or hundreds of millions of dollars to avoid launching private astronauts with SpaceX, it may never recoup the losses it has incurred developing Starliner. Worse, without Boeing paying even more out of pocket to certify Starliner to launch on a different rocket, the spacecraft will find itself without a certified rocket after its sixth operational launch.
Meanwhile, on top of eight new NASA contracts, Crew Dragon has already supported two private astronaut launches and SpaceX has contracts for five more private missions through 2024. Put simply, thanks in large part to the void created by Boeing’s surprising shortcomings, SpaceX practically owns the western market for crewed orbital spaceflight and will likely continue to dominate it throughout the 2020s.
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
