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Twitter Files part 14 sheds light on “Russian bots” and #ReleaseTheMemo

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The Twitter Files part 14, written by independent journalist, Matt Taibbi, shed light on a false narrative of Russian bots and the hashtag #ReleaseTheMemo. Taibbi, who was given access to the internal documents at Twitter by Elon Musk, released a new installment on Thursday.

It began in 2018 when Senators Dianne Feinstein and Adam Schiff wrote the platform a letter regarding trending hashtags and Russian disinformation campaigns. Twitter pointed out that both the politicians and the media didn’t only lack the evidence but had evidence the accounts were not Russian. However, the platform was “roundly ignored.”

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Backtracking to a week before Twitter received the letter, Republican Devin Nunes submitted a classified memo to the House Intel Committee that detailed the abuses by the FBI in obtaining Foreign Intelligence Surveillance Act (FISA) surveillance authority against those connected to former President Trump. Included was the role played by the Steele Dossier.

Credit: Matt Taibbi

In December 2019, a report by Justice Department Inspector General Michael Horowitz verified Nunes’ assertions virtually.

“We also found that the FBI’s interviews of Steele, his Primary Sub-Source, a second sub-source, and other investigative activity revealed potentially serious problems with Steele’s descriptions of information in his reports,” the report read. “Among other things, regarding the allegations attributed to Person 1, the Primary Sub-source’s account of these communications, if true, was not consistent with and, in fact, contradicted the allegations of a “well-developed conspiracy” in Reports 95 and 102 attributed to Person 1.”

The report also pointed out that the FBI filed three renewal applications with the FISC in 2017, repeating the seven “significant errors contained in the first FISA application.” Yet, the report found another ten errors in the three renewal applications. Taibbi noted that despite that, the national media denounced Nunes’ report in January and February 2018 in “oddly identical language, calling it a ‘joke.’

Senators Feinstein and Schiff also wrote an open letter claiming that the hashtag “gained the immediate attention and assistance of social media accounts linked to Russian influence operations.

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The senators claimed that Nunes’ memo “distorts” classified information. “But note they didn’t call it incorrect,” Taibbi wrote.

Connecticut Senator Richard Blumenthal also wrote a letter. “We find it reprehensible that Russian agents have so eagerly manipulated innocent Americans citizens and undermined our democratic processes through our elections and public policy debates.”

The letter asked Twitter to notify users who interacted with tweets created by the accounts tracked by the Alliance for Securing Democracy (ASD). The senators and members of the media pointed to the Hamilton 68 dashboard created by Clint Watts, a former FBI counterintelligence official, created The letter asked Twitter to notify users who interacted with tweets created by the accounts tracked by the Alliance for Securing Democracy.”

The Hamilton 68 dashboard was described as a project with the Alliance for Securing Democracy at the German Marshal Fund and tracked around 600 accounts that it claimed were tied to Russian-sponsored influence and disinformation campaigns. Bret Schafer, an analyst who helped run the project, spoke about the #ReleaseTheMemo hashtag.

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“I’ve never seen any single hashtag that has had this amount of activity behind it,” he said. Taibbi noted that the dashboard “was vague in how it reached its conclusions.”

Twitter executives didn’t quite trust the dashboard and the key complaints were that Hamilton 68 seemed to be the only source of information and no one was checking with Twitter. Global Policy Communications Chief Emily Horne encouraged skepticism of the dashboard’s take. In the screenshots below, Horne pointed out that it was a comms play for ASD.

“They’ve made a very strong media push in the last week, piggybacking on Clint’s testimony.”

Off the record, she said, “I encourage you to be skeptical of Hamilton 68’s take on this, which, as best as I can tell, is the only source for these stories. 1) Hamilton 68 does not release the accounts that make up their dashboard, so no one can verify the accounts they include are, in fact, Russian automated accounts, and 2) it is extraordinarily difficult for outside researchers, who do not have access to our full API and internal account signals, to say with any degree of certainty that an account they believe is behaving suspiciously is 1) automated and 2) Russian.”

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“If you speak with them, I encourage you to press them on how they can be sure of both of these claims when they do not have access to internal signals and data.”

Twitter’s former head of safety, Yoel Roth, wasn’t able to find any Russian connection to the hashtag and noted that after reviewing accounts that posted the first 50 tweets with the hashtag, none showed any signs or affiliation to Russia. Instead, Twitter found that the engagement was “overwhelmingly organing and driven by strong VIT engagement). VIT is an acronym for very important Tweeters, and these included Wikileaks, Donald Trump Jr., and Congressman Steve King.

When Twitter brought this up to a Blumenthal staffer, the staffer tried to wave them off “because we don’t believe these are bots.”

Another Twitter executive pointed out that if Blumenthal would lay off on this, “it seems like there are other wins we could offer him.” However, the senator published his letter, which led to the platform’s executives being frustrated over what they viewed as a circular process.

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“Twitter spent a lot of resources to respond to the initial request, and the reward from Blumental shouldn’t be round after round of requests for user notice. It also doesn’t do anything to fix the problem. That distracts our team from the real iq fight.”

Twitter executives later realized that they were”feeding congressional trolls” and compared the requests to a popular children’s book, If You Give a Mouse a Cookie.

Although Twitter believed that there were no Russians in the story, it stopped challenging Russia’s claims on the record. Outside counsel from firms advised Twitter to use language such as “With respect to particular hashtags, we take seriously any activity that may represent an abuse of our platform.”

This resulted in reports from several mainstream media outlets pushing the “Russian bots” story without any evidence. Taibbi noted that several media outlets that played up the “Russian bots” story declined to comment. So did the staff for Senators Feinstein, Schiff, and Blumenthal. Nunes shared a comment.

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“Schiff and the Democrats falsely claimed Russians were behind the Release the Memo hashtag, all my investigative work… By spreading the Russia collusion hoax, they instigated one of the greatest outbreaks of mass delusion in U.S. history.”

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.

Teslarati is now on TikTok. Follow us for interactive news & more. Teslarati is now on TikTok. Follow us for interactive news & more. You can also follow Teslarati on LinkedInTwitter, Instagram, and Facebook.

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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 piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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