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SpaceX Falcon Heavy booster spotted at Kennedy Space Center
SpaceX has been spotted transporting a Falcon Heavy booster through NASA’s Kennedy Space Center (KSC) facilities, offering a slight glimpse behind the scenes amid a seemingly unending series of launch delays for the most powerful operational rocket in the world.
Continuing a recent surge of Falcon Heavy booster appearances at or around SpaceX facilities, the latest instance saw the company transporting new, unflown Falcon Heavy center core south through KSC to its HangarX rocket storage and processing facilities. While it does not appear that this particular Falcon Heavy center core is the same core believed to be assigned to the rocket’s next launch, its movement is still significant.
First, it’s not entirely clear where the Falcon Heavy center core came from. SpaceX maintains several fragmented processing and storage facilities in hangars strewn throughout the Cape Canaveral Space Force Station (CCSFS), though SpaceX’s new HangarX facility – located within KSC ground – was presumably meant to organize booster and fairing storage, outfitting, and refurbishment under one roof.
Regardless, the new Falcon Heavy center core moved to HangarX on March 9th, 2022 was missing at least a few essential parts, suggesting that it could merely be headed there to be fully outfitted for an upcoming launch. However, it could also have been moved to HangarX for longer-term storage after waiting too long at a satellite storage facility. Due to seemingly unrelenting delays impacting at least three of several Falcon Heavy launches planned in 2022, SpaceX has been stuck shuffling more and more Falcon Heavy cores over the last six or so months.
As of September 2021, all three new Falcon Heavy cores meant to support USSF-44 – set to be the rocket’s first launch in more than two years – were already inside the integration hangar at Pad 39A, the only launch site able to support Falcon Heavy. Originally meant to launch in late 2020, both USSF-44 and USSF-52 have been more or less indefinitely delayed ever since. In September, USSF-44 – one or several geostationary US military satellites – was expected to launch as early as October 2021. Soon after, the launch was delayed to “early 2022.” As of March 2022, the US military now refuses to offer even a vague public estimate for the mission’s latest launch target.
Combined with a series of either two or three Dragon launches – all of which need Pad 39A – planned as early as late March, mid-April, and early May, it’s now all but guaranteed that Falcon Heavy will have to wait until May or June 2022 for its first launch since June 2019 – a staggering three-year gap. Due to those delays, SpaceX is currently juggling an unprecedented fleet of six (soon to be seven) unflown, ready-for-flight Falcon Heavy boosters on top of another dozen flight-proven Falcon 9 and Heavy boosters.
On top of the military’s USSF-44 and USSF-52 missions, both of which are now years behind schedule, satellite communications provider ViaSat also recently announced the latest in a long line of ViaSat-3 launch delays, pushing its Falcon Heavy launch from this spring to no earlier than “late summer” – i.e. late Q3 2022. Ironically, of Falcon Heavy’s near-term missions, only NASA’s Psyche spacecraft – designed to orbit and explore an exotic asteroid tens to hundreds of millions of miles from Earth – has survived the last year or two without a major launch delay. It remains on track to launch in August 2022.
In fact, given that there is apparently so much uncertainty surrounding USSF-44 and USSF-52 that the US military is no longer willing to offer any public schedule estimate, it’s starting to look likely that Psyche – barring its own delays – could launch before USSF-44, USSF-52, and ViaSat-3. If that’s the case, SpaceX has almost half a year to prepare for the launch and it would only make sense to move all Falcon Heavy cores to longer-term storage until schedule confidence improves.
Unfortunately, that means that until there are signs of tangible preparations or actual military payloads arriving at Cape Canaveral, it’s very likely that SpaceX will have to wait until August 2022 at the earliest for Falcon Heavy’s first launch in more than three years.
News
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.

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.
“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
Elon Musk
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.

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.
News
Tesla posts Optimus’ most impressive video demonstration yet
The humanoid robot was able to complete all the tasks through a single neural network.

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).
“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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