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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 FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
