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First Twitter Files of 2023 shows how intelligence community gained influence over the platform
The first Twitter Files of 2023 have been released by journalist Matt Taibbi, and they reveal how the intelligence community gained the influence it had over the platform. It begins in August 2017 when Facebook suspended 300 accounts with “suspected Russian origin.”
1.THREAD: The Twitter Files
How Twitter Let the Intelligence Community In— Matt Taibbi (@mtaibbi) January 3, 2023
However, Twitter’s leaders weren’t worried because they were sure there wasn’t a Russia problem. Screenshots of emails from Twitter’s former Vice President, Global Public Policy & Philanthropy, Colin Crowell, and Twitter’s former legal head, Vijaya Gadde, confirm that Twitter had been in contact with Facebook and agreed that the best public relations strategy was to say nothing on record and to issue a statement bringing them “closer to Facebook, their vulnerabilities on this issue, and the follow-up stories on Russia.”
In another email, Crowell noted that Twitter wasn’t the focus of inquiry into Russian election meddling but that the spotlight was on Facebook. The screenshot revealed that a group of Twitter executives were “due to see the Democratic staff of the Senate Intelligence Committee” in a non-public and private meeting.
In the section of the email titled Important Context, Crowell wrote: “Twitter is not the focus of inquiry into Russian election meddling right now – the spotlight is on FB because FB has better targeting ability than we have for campaign-related advertising; and, because the Trump campaign spent massively on FB during the election compared to what they spent w/us.”
Credit: Matt Taibbi
Following that, Twitter suspended 22 possible Russian accounts and 179 others with “possible links” to those accounts out of a larger set of 2,700 suspects that were manually examined. Senator Mark Warner of Virginia, the ranking Democrat on the Intelligence Committee, wasn’t too happy with Twitter. He held a press conference to denounce Twitter’s report as “frankly inadequate on every level.”
Crowell’s response was “#Irony” after he received an email from Warner’s re-election campaign asking for $5. Following that, Crowell met with congressional leaders and told his team at Twitter to keep producing material.
“Warner has political incentive to keep this issue at the top of the news, maintain pressure on us and rest of industry to keep producing material for them.”
Credit: Matt Taibbi
He added that the Democrats were taking cues from Hillary Clinton, who said, “It’s time for Twitter to stop dragging its heels and live up to the fact that its platform is being used as a tool for cyber-warfare.”
Credit: Matt Taibbi
This led Twitter to form a Russia Task Force due to anxiety over its PR problems. The task force began with data shared from counterparts at Facebook; however, Taibbi noted that those searches of accounts tied to Russia’s Internet Research Agency (IRA) were a dud.
One screenshot read: “No evidence of a coordinated approach, all of the accounts found seem to be lone-wolf type activity.”
Another one pointed out that after manually reviewing 2,500 accounts, they thought it was exhaustive. “32 suspicious accounts and only 17 of those are connected with Russia, only 2 of those have significant spend one of which is Russia Today…remaining <$10k in spend.”
Taibbi noted that the search found “only 2” significant accounts based on the same data that later inspired panic headlines such as “Russian Influence Reached 126 million through Facebook alone.”
Twitter’s failure of its Russian task force to produce material made its PR crisis worse. Several stories sourced into the Intel Committee were reported on in the news. This led Twitter to change its thoughts on the smallness of its Russia problem.
Senate staff told Twitter leaders that Senator Warner felt like the tech industry was in denial for months, and Twitter “pledged to work with them on their desire to legislate.”
Following that, Twitter’s Policy Director, Carlos Monje, shared key highlights of the legislation that Senators Warner, Klobuchar, and McCain were introducing.
“Knowing that our ads policy and product changes are an effort to anticipate congressional oversight, I wanted to share some relevant highlights of the legislation Senators Warner, Klobuchar and McCain will be introducing,”
Credit: Matt Taibbi
As Twitter began preparing its ads policy and removing RT and Sputnik to placate Washington, the committees leaked the larger list of 2,700 accounts. This led to a media circus, with Twitter being the star of the show. Internally, Twitter didn’t want to endorse the findings by Buzzfeed and the University of Sheffield, which said they found a new network on Twitter with close connections to Russian-linked bot accounts.
Credit: Matt Taibbi
Credit: Matt Taibbi
The Senate asked Twitter for a write-up of what happened when the Buzzfeed piece came out. Twitter then apologized for the same accounts it initially told the Senate was not a problem. This led to a new revelation. “Reporters now know this is a model that works.”
Taibbi noted that this cycle would later be formalized in partnerships with federal law enforcement. And this is how the intelligence community gained its influence over Twitter. In public, Twitter would remove content “at our 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.”
If you would like to access all of the Twitter files, an archival website has been built, which includes all of the threads as organized, long-form blog posts and links to articles written by the independent journalists who have released the Twitter Files.
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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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.”
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.
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.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
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.
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.
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
