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.
1.THREAD: The Twitter Files
Twitter and the FBI “Belly Button” pic.twitter.com/nfOGQGlvUM— Matt Taibbi (@mtaibbi) January 3, 2023
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.”
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.”
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.”
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.
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Elon Musk
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.
While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.
Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.
Samsung’s Tesla AI5/AI6 chip factory to start key equipment tests in March: report
The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.
(Credit: Tesla)
This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.
Credit: @serobinsonjr/X
The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.
The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
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The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
News
Tesla adds awesome new driving feature to Model Y
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla writes in the release notes for the feature:
“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”
🚨 Tesla has added a new “Comfort Braking” update with 2026.8
“Your Tesla provides a smoother feel as you come to a complete stop during routine braking.” https://t.co/afqCpBSVeA pic.twitter.com/C6MRmzfzls
— TESLARATI (@Teslarati) March 13, 2026
Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.
There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.
This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.
Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.
Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.
We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
What is Digital Optimus? The new Tesla and xAI project explained
