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Twitter and the FBI Belly Button revealed in new Twitter Files Twitter and the FBI Belly Button revealed in new Twitter Files

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Twitter Files reveal FBI’s role as “belly button”

Credit: Matt Taibbi

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The latest installment of the Twitter Files revealed the FBI’s desire for Twitter to rely on it to be the belly button of the U.S. government (USG). The first Twitter Files installment of 2023 revealed shared the events that led up to the intelligence community’s influence on Twitter. Following that installment, journalist Matt Taibbi released another, which revealed the Global Engagement Center’s (GEC) role.

Taibbi described the GEC as “a fledgling analytic/intelligence arms of the State Department,” and screenshots revealed how this new entity would go directly to the media. In one such instance, a report titled, Russian Disinformation Apparatus Taking Advantage of Coronavirus Concerns, was released, which wrecked a bit of havoc for Twitter.

Twitter’s then Trust and Safety head, Yoel Roth, pointed out the motives of Clemson’s Media Forensic Hub when it complained that Twitter hadn’t “made a Russia attribution” in some time.

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Credit: Matt Taibbi

Credit: Matt Taibbi

Roth told researchers like Clemson that Twitter would be happy to work directly with them instead of the media. He was unsuccessful. Simultaneously, Twitter was trying to reduce the number of agencies that had access to Roth. Twitter’s then-policy director, Carlos Monje, pointed out that once Twitter gave these agencies, such as the Department of Homeland Security, access to Roth.

“If these folks are like House Homeland Committee and DHS, once we give them direct contact with Yoel, they will want to come back to him again and again,”  Monje said.

Taibbi noted that the GEC report appeared to be based on DHS data that was circulated earlier that week. The data included accounts that followed two or more Chinese diplomatic accounts and ended up with a list “nearly 250,000” names long. The list included Canadian officials and a CNN account.

Credit: Matt Taibbi

In an email, Roth said that the GEC attempted to insert itself into conversations Twitter had with several government agencies, including the FBI and DHS. The GEC began to agree to loop Twitter in before going public; however, the agency used a technique that trapped Twitter previously.

“The delta between when they share material and when they go to the press continues to be problematic,” a comms official wrote, adding that they primed the media to be “curios and inquisitive of this dynamic, too.”

Credit: Matt Taibbi

This led to Twitter’s disputing a State Department claim that China coordinated coronavirus disinformation accounts. The FBI then informed Twitter that the GEC wanted to be included in their regular “industry call” between companies like Twitter and Facebook and the DHS and FBI. At first, Twitter didn’t want to go this route. Executives at Facebook and Google were united with Twitter in its opposition to the GEC’s inclusion.

“The GEC’s mandate for offensive IO to promote American interests. The relative lack of discretion and caution from senior GEC leadership in sharing reports/analysis based on shaky methodology. A limited track record of successful collaboration with industry.”

Roth noted that an actor such as GEC being introduced to a stable and trusted group of practitioners and experts, especially with the election heating up, posed major risks.

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Credit: Matt Taibbi

Roth added that another reason was that the DHS and FBI were “apolitical,” whereas the GEC was “political.”

“GEC has a track record of actively advancing specific ideological agendas (e.g., their work w/r/t Iran). We should not lose sight of this distinction,” Roth wrote.

Credit: Matt Taibbi

The FBI argued for a compromise solution that would allow other U.S. government (USG) agencies to participate in the industry calls, with the FBI and DHS acting as sole conduits. When Roth reached out to FBI agent Elvis Chan with concerns, Chan reassured the Twitter executive that it would be a “one-way” channel and “State/GEC, NSA, and CIA have expressed interest in being allowed on in listen mode only.”

“We can give you everything we’re seeing from the FBI and USIC agencies,” Chan told Roth, adding that the  DHS agency Cybersecurity and Infrastructure Security Agency (CISA) “will know what’s going on in each state.” Chan then asked if the industry could “rely on the FBI to be the belly button of the USG.”

Credit: Matt Taibbi

The group eventually chose Signal due to its operational security. Following that, Twitter began taking requests from various government bodies starting with the Senate Intel Committee (SSCI), which needed reassurance that Twitter was taking FBI direction.

Twitter also received various requests from officials wanting individuals they didn’t like to be banned from the platform. In the screenshot below, the office for Democrat and House Intel Committee chief Adam Schiff asked Twitter to ban journalist Paul Sperry.

Credit: Matt Taibbi

At the time, Twitter refused. However, Sperry was later suspended. “No, this isn’t feasible/we don’t do this,” Twitter replied.

 

Twitter honored many of the requests, including those from the GEC, to ban accounts the GEC identified as “GRU-controlled” and linked “to the Russian government.”

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A former CIA staffer working at Twitter called the GEC requests “Our window on that is closing,” which meant that the days Twitter could say no to serious requests were over. In the Twitter Files that were released earlier today, Taibbi noted that in public, Twitter would remove content at its “sole discretion.”

Privately, the platform would “off-board” anything that was “identified by the U.S. intelligence community as state-sponsored entity conducting cyber-operations.” That was in 2017. By 2020, agencies were flooding Twitter with “identifications” or users that it wanted Twitter to remove.

Credit: Matt Taibbi

Taibbi pointed out that some reports were only a paragraph long and that Twitter would be forwarded an Excel document without further explanation. Twitter was also warned about the publicity surrounding a book written by former Ukraine prosecutor Viktor Shokhin, who alleged “corruption by the U.S. government” – specifically by Joe Biden.

Screenshots reveal that by mere weeks before the 2020 election, Twitter was so confused by the multiple streams of incoming requests that staffers had to ask the FBI which was which.

Credit: Matt Taibbi

Taibbi noted that this led to the situation described in an earlier Twitter Files release by Michael Shellenberger on December 19, 2022.

In that release, it was revealed that Twitter was paid $3,415,323. Taibbi noted that Twitter wasn’t just paid but underpaid for the amount of work it did for the government.

Your feedback is welcome. If you have any comments or concerns or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.

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Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.

“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.

That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.

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A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.

SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.

Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.

SpaceX Starship just nailed something it’s never done before

The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.

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Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.

Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.

If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.

This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”

The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.

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The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.

Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.

By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.

Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.

Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.

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The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.

By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.

Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.

During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:

“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”

Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.

Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.

“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”

The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.

While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.

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The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.

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