

News
SpaceX upgrading Starship noses and domes for easier assembly
While a separate team closes in on the completion of a new and improved Starship nosecone, SpaceX also appears to have begun assembling upgraded ‘tank domes’ that feature a similar underlying design change.
On the nose front, SpaceX has been working on a new and improved version of Starship’s nosecone for at least a year and assembling pathfinders and prototypes of varying fidelity since mid-2020 – around the same time when Starship SN15 became the first (and only) prototype to successfully launch and land. Further down the rocket, hints of Starship dome upgrades are a much more recent development.
Excluding Starship Mk1, which never had its far flimsier nose fully installed, the Starship nose design has been extremely consistent ever since SpaceX began building the first prototypes in mid-2020. Early prototypes were inevitably scrapped as SpaceX quickly iterated on the nose design and assembly process, culminating in Starship SN8, which became the first prototype to have its basic structure (tank section, nose, and flaps) fully assembled.
Though improvements and changes have almost certainly been made in the last ~18 months, the early unflown prototypes and the noses of Starships SN8, SN9, SN10, SN11, SN15, SN16, S20, and S22 have all been constructed in roughly the same way. SpaceX would first produce a series of thin, stamped sheets (gores) of steel. Once aligned on custom-built jigs, each of those gores would be welded together to form a slightly conical ring. Five total ‘rings’ would be assembled, each narrower and more conical than the last. The five sections would then be stacked one by one and welded together along their circumferences.
Altogether, something like 120 complex vertical welds would be needed just to assemble the most basic structure of a nose, followed by four or five no less complex circumferential welds to turn those sections into one cone. SpaceX’s upgraded design seeks to simplify that process mainly by increasing the size of the gores. Aside from modestly reducing the number of longitudinal sections needed to form the cone, SpaceX has also reduced the number of stacked sections from five to two, slashing the total number of gores needed by at least a factor of two or three. While not quite as substantial, the same simplification also reduces the length of vertical and circumferential welds needed to assemble a nosecone.
The spirit behind SpaceX’s new dome design appears to be very similar. Presumably doubling down on the stretch-forming production method developed for nosecone gores, SpaceX appears to have also decided to increase the size of dome gores and reduce the number of stacked sections required for dome assembly – albeit from three to two instead of five to two.
Collectively, this behavior is mostly predictable. With increasing confidence in the current design of Starship and Super Heavy, SpaceX now appears to be looking for ways to streamline and simplify manufacturing while simultaneously optimizing Starship’s design. Regardless of whether one is dealing with a highly advanced rocket factory or a smartphone assembly line, part count reduction is a very common and desirable way to reduce both cost and complexity. Additionally, drastically reducing the number of individual welds – and, to a slightly lesser degree, the total length of welds – required should also reduce the number of possible points of failure and the time needed for weld inspection and repair.
Having already scrapped a number of new nose pathfinders, it appears that Starship S24 will be the first to feature the new design. The process of stacking the ship has already begun. For domes, SpaceX appears to have only just begun assembling the first prototypes. If past dome changes are indicative of future behavior, one or several new ‘test tanks’ will likely be built to ensure that the new dome design performs as well as present-day hardware. It’s also unclear if SpaceX aims to replace all domes with a more spherical design or if, say, current Starship and Super Heavy thrust domes will remain the same for the time being.
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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