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.
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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.
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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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In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
