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SpaceX schedules second Starship static fire after first test ends prematurely

On January 6th, SpaceX fired up Starship SN9's three Raptor engines for the first time. (NASASpaceflight - bocachicagal)

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Update: SpaceX appears to have plans for a second triple-Raptor static fire for Starship SN9 after the rocket’s first test was cut short for unknown reasons.

Identical to previous road closure windows, SpaceX will have an opportunity to test Starship SN9 from 8 am to 5 pm CST (UTC-6) on Friday, January 8th, potentially paving the way for a high-altitude launch attempt early next week if the second static fire goes as planned. Stay tuned for updates!

In what is likely one of the last steps before SpaceX’s next high-altitude Starship launch attempt, the company appeared to successfully put Starship serial number 9 (SN9) through its first triple-Raptor static fire test.

Relatively late into a test window that opened at 8 am CST (UTC-6) but was later pushed to noon, SpaceX’s first Starship SN9 static fire attempt began in earnest around 3:15 pm CST. Signified by venting activity at the propellant farm tasked with preparing and loading liquid oxygen and methane on Starships, slight tweaks in the test flow were observed but the static fire occurred more or less when expected at 4:07 pm.

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SN9 ignited all three of its Raptors in quick succession and shut the engines down over the course of 1.5-2 seconds – extremely short relative to all previous nominal Starhopper or Starship-mounted Raptor static fires. Long-time followers immediately noted that small discrepancy, speculating that it could either have been a post-ignition abort or intentionally shortened to avoid damaging the pad’s concrete surface (an incident that’s occurred several times during recent tests).

Not long before the short static fire, SpaceX extended the end of its January 6th test window (in the form of road closure notices) from 5 pm to 8 pm. Oddly, rather than the expected response of detanking Starship and reopening the road after a successful test, SpaceX essentially recycled SN9 and began a separate test around 6 pm. The road was never reopened and a SpaceX team never headed back to the pad between the tests, implying that the company may have run into a minor hardware or software bug earlier in the day.

It’s unclear what the actual goal of the second attempt was and it’s more or less impossible to know for sure with confirmation from CEO Elon Musk. It’s possible – if unlikely – that the first static fire went exactly as planned and the follow-up test was meant to be a simple data-gathering wet dress rehearsal (WDR). Either way, after a surprise downpour briefly engulfed Starship SN9 minutes prior, the second test appeared to abort about 30 minutes into propellant conditioning and loading, precluding both a complete WDR and/or static fire.

Starship SN9 is pictured preparing for its first static fire attempt on January 3rd. (NASASpaceflight – bocachicagal)

According to a test notice received on January 6th by NASASpaceflight contributer and photographer Mary (bocachicagal), SpaceX has another test window available on January 7th in the event that Wednesday’s testing was partially unsuccessful. In a rare case, SpaceX’s hand-distributed warning for residents preceded any additional planned road closures, the last of which lifted on January 6th.

On January 5th, SpaceX received a trio of Temporary Flight Restrictions (TFRs) from the FAA that will allow the company to restrict access to nearby airspace for high-altitude Starship launch attempts on January 8th, 9th, and 10th. Lacking an unequivocally successful static fire, it’s highly unlikely – but not impossible – that Starship will be ready for a launch attempt during any of those three windows. Still, it’s safe to say that SN9 is probably less than a week away from its first flight – expected to be a carbon copy of SN8’s 12.5 km (7.8 mi) launch and landing attempt – if SpaceX can complete a full-duration static fire in the next day or two.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla Full Self-Driving is getting a major parking upgrade, Elon Musk says

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Credit: Tesla

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.

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.

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.

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Tesla Full Self-Driving and App Connectivity save life in medical emergency

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Credit: Tesla

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.

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.

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Elon Musk predicts Grok will start to challenge Hollywood by the end of 2026

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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.

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