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SpaceX Falcon 9 rocket rolls out to launch pad with NASA X-ray telescope

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A SpaceX Falcon 9 rocket carrying NASA’s tiny IXPE X-ray telescope has rolled out to Kennedy Space Center (KSC) Pad 39A for the last time ahead of a planned Thursday, December 9th launch.

Falcon 9 is scheduled to lift off at the start of a 90-minute window that opens at 1am EST (06:00 UTC). The only payload: a first-of-its-kind 330 kg (~730 lb) spacecraft known as the Imaging X-ray Polarimetry Explorer (IXPE) that hopes to analyze the polarization of X-rays to explore black holes, nebulae, and bizarre lighthouse-like dead stars called pulsars in unprecedented detail. The mission is also interesting just for the sheer disparity between the size of the payload and the rocket that will launch it.

As noted, IXPE will weigh about a third of a ton at launch. SpaceX’s Falcon 9, on the other hand, will weigh roughly 550 tons (1.2M lb) when it lifts off, resulting in a truly unusual payload ratio of approximately 1:1700 or 0.06%. However, Falcon 9 will still have to work extremely hard to get IXPE into the correct orbit. That’s because IXPE is designed to operate in an almost exactly equatorial orbit with a zero-degree inclination.

Launching out of Cape Canaveral, which is located 28.5 degrees above the true equator, it’s physically to launch directly into a 0.2-degree equatorial orbit. Instead, a rocket needs to launch into a due-East parking orbit and then perform what’s known as a plane or inclination change once in space. Plane changes are infamous for often being (in terms of rocket performance) one of the most expensive maneuvers one can perform in orbit. That’s certainly the case for IXPE, which will require a 28.5-degree plane change shortly after liftoff.

NASA’s DSCOVR, TESS, and DART spacecraft ahead of Falcon 9 launches. (NASA)

For Falcon 9, that means that even the tiny ~330 kg IXPE likely still represents about 20-30% of its maximum theoretical performance (1.5-2 tons) for such a mission profile, while the same rocket is otherwise able to launch about 15 tons (33,000 lb) to the same 600 km (373 mi) orbit IXPE is targeting when no plane change is needed. As an example, per a NASA calculator with access to official performance data, Blue Origin says its massive New Glenn rocket – designed to launch more than 40 tons (~90,000 lb) to low Earth orbit (LEO) – can only launch about 2 tons (~4500 lb) to IXPE’s planned orbit

SpaceX is no stranger to launching absurdly small NASA spacecraft, including the ~700 kg (~1500 lb) Double Asteroid Redirection Test (DART) just last month, but IXPE – about 10% lighter than TESS – will be the smallest dedicated payload ever launched by Falcon 9. Following the launch, Falcon 9 booster B1061 will attempt its fifth drone ship landing more than 650 km (400 mi) downrange. Demonstrating just how much more challenging IXPE’s plane change makes an otherwise effortless launch to 600 km, an older and less capable Falcon 9 booster landed just 300 km (185 mi) downrange after launching TESS to an orbit as high as 375,000 km (233,000 mi) – about the same distance between the Earth and Moon.

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Weather is currently 90% favorable for SpaceX’s December 9th IXPE launch.

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 Model 3 gets perfect 5-star Euro NCAP safety rating

Tesla prides itself on producing some of the safest vehicles on the road today.

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Credit: Tesla Singapore/X

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.

Standout Safety Features

As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.

The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.

Standout Safety Features

In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.

“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place. 

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“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.

Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.

Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd

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USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards

The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

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Credit: Elon Musk/X

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.

Duffy’s Giga Texas Visit

As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X. 

He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”

National Standard

While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”

Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.

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Tesla posts Optimus’ most impressive video demonstration yet

The humanoid robot was able to complete all the tasks through a single neural network.

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Credit: Tesla Optimus/X

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.

Optimus’ Newest Demonstration

In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.

What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.

Tesla VP for Optimus Shares Insight

In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.

“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).

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“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.

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