

News
SpaceX’s first orbital-class Starship and Super Heavy to return to launch pad next week
CEO Elon Musk says that SpaceX could return the first orbital-class Starship prototype and its Super Heavy booster to the launch site after rolling the rockets back to the factory for finishing steps.
In response to a video of Super Heavy Booster 4 (B4) returning to the build site, Musk rather specifically stated that both Booster for and Starship 20 (S20) will return to the orbital launch pad on Monday, August 16th. SpaceX returned Ship 20 to its ‘high bay’ vertical integration facility mere hours after the Starship was stacked atop a Super Heavy booster (B4) for the first time ever on August 6th. For unknown reasons, perhaps due to high winds, Booster 4 spent another five days at the pad before SpaceX finally lifted it off the orbital launch mount and rolled it back to the high bay, where it took Ship 20’s place on August 11th.
Almost immediately after S20’s August 6th return, its six Raptor engines were removed to make way for an engine-less proof test campaign that Musk has now implied could start as early as next Monday. Mirroring S20, SpaceX also begin uninstalling Super Heavy Booster 4’s 29 Raptor engines the same day it returned to the high bay.
Around 12 hours after the process began, SpaceX appeared to have removed 14 (just shy of half) of Super Heavy B4’s Raptor engines – a pace almost as spectacular as their 12-18 hour installation a bit less than two weeks prior. Aside from making engine removal dramatically easier, Musk says that SpaceX moved Ship 20 and Booster 4 back to the build site to expedite some minor final integration work – namely “small plumbing and wiring.”
However, aside from Raptor removal, the most obvious and significant work ongoing since the pair’s return to the high bay is the process of inspecting Starship S20’s heat shield and repairing or replacing broken, chipped, and loose tiles. Not long after Ship 20 arrived back at the build site, workers in boom lifts began a seemingly arduous process of inspecting the Starship’s nose heat shield and marking – with colored tape – hundreds of tiles with cracks, chips, or other less visible issues.
After several days of inspections and hundreds of tiles marked, SpaceX finally began the process of removing off-nominal tiles early on August 12th. According to NASASpaceflight.com, that removal process is not particularly easy and can require the use of power tools to effectively cut tiles off their embedded mounting frames. Given the amount of force required, some level of care is also almost certainly needed to avoid damaging any adjacent tiles, which could quickly cause a minor misstep to exponentially spread. Nevertheless, a small team of SpaceX technicians seemingly managed to remove no less than several dozen (and maybe 100+) broken tiles in a few hours.
Up next, those removed tiles will need to be replaced. Still, it remains to be seen if SpaceX will choose to fully complete Starship S20’s “98% done” heat shield before sending the ship back to the launch site for proof and static fire testing. To a degree, putting Starship through a gauntlet of ground tests with a full heat shield installed would be an excellent test of the resilience of its thermal protection system to major thermal stresses from frosty steel skin and expansion/contraction during fueling, as well as violent vibrations during static fires.
However, Starship S20’s heat shield is already so close to completion that it might be only marginally less valuable to save time by testing the vehicle as soon as possible.
To an extent, Booster 4 is a much simpler case as Super Heavy needs to major thermal protection. However, according to Musk, some or all of Super Heavy’s 29 Raptor engines will need their own miniature thermal protection system – perhaps a flexible blanket-like enclosure not unlike what SpaceX uses to partially protect Falcon booster engines during reentry. It remains to be seen if Booster 4 will return to the launch site without engines for cryogenic proof testing or if SpaceX will install heat shielded Raptors before starting the first flightworthy Super Heavy’s first test campaign.
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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