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SpaceX’s next-gen Starlink plans questioned by a company with zero satellites

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In the latest instance of an Amazon-related venture attempting to use regulations and legal routes to suppress competition, Amazon’s Project Kuiper satellite internet venture wants the FCC to dismiss SpaceX’s application for the next generation of Starlink satellites.

In a document filed with the FCC in late August, Project Kuiper took the significant step of asking the regulatory body to entirely dismiss a SpaceX request to modify plans for the next generation of Starlink satellites. As previously discussed on Teslarati, SpaceX submitted that modification request on August 18th with one clear focus: optimizing Starlink satellites and the constellation’s orbital ‘shells’ to best take advantage of the imminent capabilities of the next-generation Starship launch vehicle.

Nominally capable of launching at least 100 metric tons (~220,000 lb) to low Earth orbit (LEO) in a fully reusable configuration, Starship would boost the mass of Starlink satellites SpaceX could orbit with one launch by a factor of 5-6 or more relative to Falcon 9. In other words, with Starship, SpaceX could feasibly fill out its Starlink constellation at least 5-6 times faster than with Falcon 9. However, as is public knowledge, Starship is still firmly in the development stage and has yet to attempt its first orbital launch, adding a great deal of uncertainty to when it might be ready for operational launches.

In turn, while not unprecedented, SpaceX chose to modify its license application for the second (or third) phase of Starlink satellites – a constellation made up of almost 30,000 spacecraft – to include two distinct options: a constellation where Starship is ready on time and one where it is not. Amazon’s Project Kuiper project, Effectively a Starlink clone helmed by former senior managers and engineers that SpaceX CEO Elon Musk personally ousted in 2018 for being slow and overcautious, Amazon’s Project Kuiper was apparently not happy with the changes its competitor made.

Per Amazon’s “ex parte”, the company made it clear that it believed SpaceX’s decision to pose two hypothetical constellation layouts in one application was a radical subversion of FCC requirements and insult to decorum itself, calling it “at odds [with FCC rules]” and implying that SpaceX’s Gen2 mod request is wholly incomplete and an attempt to open up the FCC to blatant speculation.

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Published six days later, SpaceX pulls no punches in its response to Amazon, raking the company through the coals for an incessant number (dozens) of filed objections to Starlink while simultaneously failing to address crucial FCC questions about the nature of the Project Kuiper constellation. Bizarrely, SpaceX’s response also accurately points out how Amazon’s legal team seemingly fails to understand SpaceX’s modification request, which poses two mutually exclusive constellation layouts with mostly marginal differences. Amazon’s central argument appears to be that SpaceX actually hasn’t submitted enough information by meticulously detailing two constellation layouts instead of one, claiming that it left “every major detail unsettled.”

Ultimately, it’s now up to the FCC to decide if it will follow Amazon’s demand and reject SpaceX’s application or if it will deny the objection and open it up to public responses and the commission’s own review.

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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