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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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Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
