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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.

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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.

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.”

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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.

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.”

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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.”

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.”

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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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Tesla Model Y L gets biggest hint yet that it’s coming to the U.S.

Over the past week, a noticeable wave of American Tesla influencers descended on China and Australia, each posting in-depth YouTube reviews of the Model Y L within days of one another.

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Credit: Tesla China

The Tesla Model Y L is perhaps the most wanted vehicle in the company’s lineup in the United States, especially now that it is void of a true family vehicle with the removal of the Model X.

In China, Tesla currently offers a longer, more family-friendly version of the Model Y, known as the Model Y L, which is longer in terms of its wheelbase and larger in terms of interior space, making it the perfect option for those with a need for a tad more room than what the all-electric crossover offers in its Standard, Premium, and Performance trims.

However, there seems to be a hint that the Model Y L could be on its way to the United States. Over the past week, a noticeable wave of American Tesla influencers descended on China and Australia, each posting in-depth YouTube reviews of the Model Y L within days of one another:

The timing has sparked some intense speculation as to whether Tesla is quietly preparing to bring the long-wheelbase, three-row family SUV to North America after months of requests from fans.

The Model Y L stretches the wheelbase by about five inches compared to the standard Model Y.

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This delivers dramatically more rear legroom, optional captain’s chairs in the second row, and a true six- or seven-seat configuration ideal for growing families. Reviewers praise its refined ride, upgraded interior features like a rear touchscreen and premium audio, and competitive range—up to roughly 466 miles in some configurations.

Many observers see the coordinated influencer trip as more than a coincidence. Tesla China appears to have hosted the group, possibly tied to the Beijing Auto Show, giving U.S.-focused creators early access to hands-on footage aimed squarely at North American audiences.

Tesla Model Y lineup expansion signals an uncomfortable reality for consumers

Tesla watchers are quick to point out this isn’t the first time such a pattern has emerged.

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Just months earlier, American influencers were similarly invited to China to test-drive the refreshed Model Y Performance. Those videos dropped in the lead-up to the variant’s U.S. rollout, generating exactly the kind of pre-launch hype that helped smooth its September arrival in American showrooms.

The parallel is obviously hard to ignore, as Tesla has used overseas influencer trips before as a low-key way to build anticipation without formal announcements. With the Model Y L potentially hitting the U.S. market late this year, according to CEO Elon Musk, the timing would make sense.

Tesla Model Y L might not come to the U.S., and it’s a missed opportunity

Of course, it could still be coincidental. Tesla regularly invites creators to its Shanghai factory and events for broader promotional purposes, and the Model Y L has been on sale in China for some time. No official word has come from Tesla or Elon Musk about U.S. availability, pricing, or timing.

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Import tariffs, regulatory hurdles, and production priorities at Fremont or the new Mexican Gigafactory could still delay or alter any stateside plans.

Even so, the buzz is real. U.S. families have long asked for a more spacious, three-row Tesla SUV that doesn’t require stepping up to the larger Model X.

If the influencer campaign is any indication, the Model Y L—or a close North American cousin—could finally answer that call. For now, American Tesla fans are watching closely and wondering whether this latest China trip is just good content… or the opening act for something much bigger stateside.

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Tesla begins probing owners on FSD’s navigation errors with small but mighty change

Previously lumped under “Other,” these incidents made it harder for Tesla’s AI team to isolate and prioritize map-related issues in their reinforcement learning models. There was a lot of disagreement on how certain interventions should be reported.

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Tesla has started probing owners on how often its Full Self-Driving suite has Navigation errors with a small but mighty change last night.

In its latest Software Update, which is Version 2026.2.9.9 featuring Full Self-Driving (Supervised) v14.3.2, Tesla has introduced a targeted improvement to how owners will report interventions.

With the initial rollout of v14.3.2, Tesla introduced a new Intervention Menu that appears when a disengagement occurs. It allowed owners to choose from four different categories: Preference, Comfort, Critical, or Other.

Tesla has voided the Other option and replaced it with a new “Navigation” choice, which seems much more ideal given the complaints owners have had about navigation. This seemingly minor UI tweak, rolled out widely in recent days, marks another step in Tesla’s ongoing effort to refine its autonomous driving stack through precise, crowdsourced data.

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Tesla made this change in direct response to longstanding community feedback. For years, FSD users have noted that navigation errors—such as incorrect speed limits, suboptimal routes, or directing the vehicle to a building’s rear entrance instead of the main one—frequently force interventions.

Previously lumped under “Other,” these incidents made it harder for Tesla’s AI team to isolate and prioritize map-related issues in their reinforcement learning models. There was a lot of disagreement on how certain interventions should be reported:

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By adding a dedicated “Navigation” label, the company can now tag disengagements more accurately, feeding cleaner data into its neural networks. This supports faster iteration on routing algorithms, map accuracy, and intent-aware navigation.

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Community consensus around Tesla’s navigation system has been consistent and candid. While the end-to-end AI driving behavior in v14.x earns widespread acclaim for smoothness and safety, navigation remains FSD’s clearest Achilles’ heel.

Owners frequently cite outdated map data, failure to learn from repeated corrections, and routing decisions that feel less intuitive than Google Maps or Apple Maps. Common complaints include phantom speed-limit changes, inefficient local roads, and poor point-of-interest handling.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

Many drivers report intervening on navigation far more often than on core driving maneuvers, with some estimating it accounts for the majority of disengagements outside of edge cases.

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Long-term users note that the same mapping glitches persist across years and software versions, despite thousands of collective miles of feedback. Yet the addition of the “Navigation” option has been met with optimism. It signals Tesla’s commitment to data-driven progress and suggests navigation improvements could arrive sooner.

For a community that already logs millions of FSD miles monthly, this small change could unlock meaningful gains in reliability and user trust—potentially accelerating the path to unsupervised autonomy.

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Tesla expands Robotaxi in a way that was long anticipated

Instead, it has to do with the consumer base it offers Robotaxi to, because it has not offered it to everyone in the past.

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Credit: Grok Imagine

Tesla has expanded Robotaxi in a way that was long anticipated, and it does not have to do with a new, larger geofence in a city where it already offered its partially autonomous ride-hailing suite, or a new city altogether.

Instead, it has to do with the consumer base it offers Robotaxi to, because it has not offered it to everyone in the past.

Tesla has taken a major step forward in its autonomous ride-hailing ambitions with the official launch of the Tesla Robotaxi app for Android users. Released on the Google Play Store on April 24. Titled simply “Tesla Robotaxi,” the app is now available to download directly from Tesla.

This rollout fulfills a long-anticipated expansion that opens the service to hundreds of millions of Android smartphone users who were previously unable to access it on iOS alone.

The app delivers a streamlined, driverless ride experience powered by Tesla’s automated driving technology.

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Users sign in with a Tesla Account, view the current service area map within the app, enter a destination, and receive an estimated fare and arrival time before confirming the ride. When a Model Y from the Robotaxi fleet arrives, riders confirm the license plate, enter the vehicle, fasten their seatbelt, and tap “Start Ride” on either the app or the vehicle’s touchscreen.

During the trip, passengers have access to all the same controls that iOS users do, and can adjust climate settings, seat positions, and music while tracking progress on an in-app map. The interface also allows drop-off changes or support requests if needed. After the ride, users exit, close the doors, and submit feedback.

This Android availability directly broadens the rider base for Robotaxi in its initial service areas. Unfortunately, Android users are used to being subject to delayed launches of new features available to Tesla owners.

By removing the iOS-only barrier, Tesla instantly expands the addressable market, enabling far more people to summon and use the autonomous vehicles already operating on public roads.

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The move is a foundational requirement for scaling ride volume and gathering the real-world data needed to refine the unsupervised Full Self-Driving system that powers every trip.

For the Robotaxi program itself, the launch signals steady operational progress. It prepares the service for higher utilization rates as the fleet grows and supports the transition from limited early deployments to a more robust network.

Tesla expands Unsupervised Robotaxi service to two new cities

Tesla has indicated that users outside current service areas can sign up at the company’s website for future notifications, pointing to a deliberate, phased geographic rollout.

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Looking ahead, the company plans to incorporate Cybercab vehicles to increase fleet capacity and efficiency while continuing to expand service territories. With the Android app now live, Tesla has removed a key adoption hurdle and positioned Robotaxi for the next phase of growth in autonomous urban transportation.

The infrastructure is now in place to support significantly larger rider demand as production and deployment accelerate.

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