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Tesla’s Elon Musk shares new insights on “funding secured” tweet as messages with Saudi PIF are revealed

Credit: Tesla

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Elon Musk recently shared some insights about his infamous 2018 “funding secured” tweet, which he posted when he announced his intentions to take Tesla private. The Tesla CEO’s recent comments came as text messages between Musk and the Saudi Arabia Public Investment Fund Head were shared online. 

The text messages between Musk and the Saudi PIF Head Yasir Al-Rumayyan were revealed as part of a 300-page motion filed late last week by Alex Spiro, the Tesla CEO’s lead attorney. The messages were part of Musk’s deposition with the US Securities and Exchange Commission, which accused the CEO of securities fraud. 

In August 2018, Musk announced on Twitter that he was looking to take Tesla private at $420 per share (pre-split) and that he had funding secured. A blog post published soon after explained that Musk’s reference to funding being secured came from previous talks with the Saudi PIF. Musk eventually walked away from the take-private deal, despite Tesla’s financial advisers coming up with a possible list of investors which included Silver Lake and Volkswagen AG. 

A look at Musk’s texts to the Saudi PIF Head showed that the CEO was extremely adamant about the sovereign fund confirming that it had shown interest in helping Tesla become a private company. The initial messages shared by Musk’s attorney were calm enough, with the Saudi PIF head confirming that any Tesla venture in Saudi will be 100% owned by the EV maker with no strings attached. 

The next messages, which seemed to follow a report which alleged that the Saudi PIF had no interest in helping Tesla go private, were more aggressive. 

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During his appearance at TED 2022, Musk noted that he has an obsession with the truth. This is something that was extremely evident in his texts with the Saudi PIF Head. Musk confronted Al-Rumayyan about the report, noting that “This is false.” The Saudi PIF Head confirmed Musk’s statement, noting that the report was “Not true” and that “Nobody talked to them (the media).” The Saudi PIF eventually issued a statement, but Musk was not happy with its content and tone. 

“This is an extremely weak statement and does not reflect the conversation we had at Tesla,” Musk sternly wrote, also adding later on that the Saudi PIF was “throwing me under the bus.” 

Al-Rumayyan’s attempts at placating the Tesla CEO were evident in later messages, with the PIF Head assuring Musk that he was a friend and thus must not be treated like an enemy. “The last thing I want to do is ‘throw you under the bus.’ I am your friend. So, please don’t treat me like an enemy,” the PIF Head wrote to Musk. 

Despite the back and forth, however, Musk remained aggravated about the situation. Even after Al-Rumayyan shared another article, Musk noted that the piece was “weak sauce and makes me sound like a liar.” Musk then noted that “There will be no further communication unless you fix the public perception of wishy washy support and interest from the PIF.” Al-Rumayyan’s last messages to Musk shared in Spiro’s filing stated that the Saudi PIF would be working on a statement, a move that the Tesla CEO stated meant “a great deal.” 

In recent Twitter posts, Musk shared some more insights on his “funding secured” tweet. According to Musk, and just as the CEO stated in his text messages from 2018, “the head of Saudi PIF committed unequivocally to take Tesla private with me, as witnessed by the Tesla CFO and several others. That is why I said funding was secured.” Musk also posted some fresh criticism of the SEC’s San Fransisco Office, which he described as “puppets” of Wall Street short seller sharks. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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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