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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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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
