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SpaceX Falcon 9 rocket to launch spy satellites from California next month

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The US National Reconnaissance Office (NRO) says that SpaceX’s first West Coast launch of 2022 is scheduled no earlier than (NET) 8:37 am PST (16:37 UTC), February 2nd.

Surprisingly, the announcement is identical to a launch target that the US Space Systems Command (SSC) put forth as far back as September 7th, 2021, meaning that the NRO’s NROL-87 mission hasn’t slipped a single day in more than four months. On the same list of upcoming military launches, Falcon Heavy’s USSF-44 mission was targeted for October 9th – now NET March 2022 due to payload issues – and Atlas V’s STP-3 launch – planned for November 22nd – actually launched on December 7th. It’s not common for a modern US military spacecraft to make it more than a few months without significant delays – let alone no delay at all.

NROL-87 will also continue an unprecedented string of SpaceX launches that began in the last month or two of 2021. Aside from being SpaceX’s first West Coast launch this year, NROL-87 is the sixth Falcon 9 launch scheduled in the first five weeks of 2022. Even more significantly, NROL-87 could be SpaceX’s 11th Falcon 9 launch in two months or its 14th launch in three months.

In other words, SpaceX is on track to demonstrate the ability to launch anywhere from 56 to 66 times annually by actually sustaining that cadence for two or even three months in a row. In July 2020, SpaceX completed a new environmental assessment of its two East Coast launch pads with the FAA, revealing plans and permission for as many as 64 Falcon launches per year in 2022 and up to 70 from 2023 onward. However, it’s one thing to claim or plan for 60-70 launches per year but another thing entirely to actually demonstrate the ability to achieve those numbers over multiple months.

Prior to 2021, the most SpaceX had ever launched in a two-month period was eight times at the end of 2020. In 2021, SpaceX managed to launch 20 times in just the first half of the year – demonstrating an annual cadence of 40 launches per year if repeated in H2 2021. However, Starlink satellite production ran into major hurdles as SpaceX grappled with semiconductor shortages and attempted to move from V1.0 to a new V1.5 design. As a result, SpaceX only launched three times in Q3 and skipped July and October entirely.

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However, Starlink production appeared to recover in Q4 and SpaceX managed to launch another eight times in the last two months of 2021. More importantly, SpaceX actually launched five times in December 2021 and six times between November 24th and December 21st – less than four weeks. Heading into 2022, SpaceX has shown no signs of slowing down. On January 4th, a statement from the US Space Force implied that SpaceX was aiming for five Falcon 9 launches in the first month of 2022. Two weeks later, SpaceX has completed three Falcon 9 launches and has two more scheduled on January 27th and 29th. NROL-87 will kick off February on the 2nd and, barring delays, could be SpaceX’s 11th launch since December 2nd.

Only one rocket family in history – Russia’s R7/Soyuz – has launched 60 or more times in one year. (Roscosmos)

Unofficial manifests suggest that SpaceX has as many as 40 commercial launches tentatively scheduled in 2022, one of which has been completed. In H1 2021, SpaceX further demonstrated the ability to build and launch approximately 1800 Starlink satellites (30 launches worth) in a single year. Of course, issues can and will arise and delays are the norm in spaceflight, so there’s a good chance SpaceX will have slow months where customer and Starlink missions both run into delays. Nonetheless, all evidence currently available suggests that SpaceX could smash its annual launch record (31 in 2021) with anywhere from 40 to 60+ launches in 2022.

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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