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SpaceX Starship test tank ready for a second shot at destruction

Starship tank SN7.1 is readied for a second shot at a destructive test finale. (NASASpaceflight - bocachicagal)

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For the fourth time ever, SpaceX is ready to destroy a Starship test tank – the results of which will \determine the next steps for Starship development.

Technically, this will be the second time SpaceX has attempted to destroy Starship test tank SN7.1 following an unsuccessful night of testing on September 17th. Following two days of back-to-back stress tests on the 14th and 15th, successfully proving that SpaceX’s newest test tank and steel alloy can withstand the rigors of suborbital launch, unknown issues scrubbed a third series of tests meant to intentionally destroy SN7.1.

Excluding Starship SN2, thus far the only test tank to survive, SpaceX’s latest intentionally destructive test campaign builds on the controlled failures of two unnamed tanks in January and Starship SN7 in June. SN7.1 is essentially a more complex version of SN7, integrating a “thrust puck” to ensure that SpaceX’s custom steel alloy is also the right choice for the puck-like structure tasked with transferring the thrust of 3-6 Raptor engines through the rest of Starship.

Starship test tanks #1 and #2 are pictured in January 2020. (NASASpaceflight – bocachicagal)
Starship test tank SN2, March 2020. (NASASpaceflight – bocachicagal)
Starship test tanks SN7 and SN7.1, June and September 2020. (NASASpaceflight – bocachicagal)

Theoretically, the 304L-esque alloy SpaceX has decided to replace 301 steel with should make Starships less brittle under cryogenic temperatures, meaning that a breached tank should spring leaks instead of violently bursting. That characteristic would be a boon for vehicle safety and survivability relative to almost any other rocket. With Starship test tank SN7, SpaceX has already demonstrated that its custom steel alloy will gently leak before bursting.

Simultaneously, SN7 is believed to have broken SpaceX’s internal Starship tank pressure record despite having multiple flawed welds, meaning that SN7.1 could reach even higher pressures if SpaceX has since improved build quality.

Ironically built well before test tank SN7.1, SpaceX has already completed the tank section of SN8 – the first full-size Starship to exclusively use the company’s custom steel alloy. Given that SN7.1 has already survived two full nights of nondestructive tests, it’s safe to say that SpaceX is likely happy with the tank’s performance and that the viability of 304L steel has been thoroughly vetted. In the unlikely event that any unsavory discoveries are made in the process of destroying test tank SN7.1, that might change, but the purpose of destructive tank testing is less to qualify new designs than it is to push the more abstract limits of materials and manufacturing techniques.

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As previously discussed on Teslarati, it remains to be seen if SpaceX will begin testing Starship SN8 before the prototype has been fully outfitted with a nosecone, plumbed header tanks, and four flaps. If SpaceX does choose to test SN8 prior to completion, the prototype could be ready to head to the launch pad almost as soon as SN7.1 is destroyed.

SN7.1’s final test window stretches from 9pm to 6am CDT (UTC-5) on September 21st with an identical backup on the 22nd. The test will be streamed by NASASpaceflight (until SN7.1 has burst or the window has closed) and LabPadre (a 24/7 feed).

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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 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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