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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.”

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.

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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.

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.”

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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.

“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.”

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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.”

“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.

“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.”

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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.

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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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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