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How ideas of a vast censorship network moved from the online fringe to Trump policy

View original at technologyreview.com
MIT Technology Review - Ai Research Title: How ideas of a vast censorship network moved from the online fringe to Trump policy Date: 2026-08-07 14:00 Source: https://www.technologyreview.com/2026/08/07/1141105/how-ideas-of-a-vast-censorship-network-moved-from-the-online-fringe-to-trump-policy/ <p><em>This article was p…
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What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • All things related to the internet connected to US foreign policy were under Benz's purview at the State Department

    60% confidence
  • Alex Jones's deplatforming termed the Pearl Harbor event of free speech

    60% confidence
  • COVID-era platform moderation was a pivotal development in the radicalization of conservatives, driven by a sense that only conservatives were being censored

    60% confidence
  • Nina Jankowicz called Biden's new minister of truth

    60% confidence
  • The censorship-industrial complex framing is catchy due to its military-industrial complex analogy

    60% confidence
  • R/FIMI closure marks the ending of government-sponsored censorship

    60% confidence
  • The best propaganda campaigns rarely use complete lies; they typically exaggerate or amplify something that actually happened

    60% confidence
  • 2020 Twitter behavior was slanted against conservative content in the US, but similar techniques applied to both left and right globally

    60% confidence
  • Claimed censorship is almost exclusively a Jewish phenomenon and warned of white genocide

    60% confidence
  • Praised Frame Game as a rising star

    60% confidence
  • Credited Mike Benz with expanding Shellenberger and Taibbi's understanding of censorship beyond piecemeal observations

    60% confidence
  • There are no conspiracy theories about federally encouraged censorship; it happened

    60% confidence
  • The censorship-industrial complex narrative's implications for politics are scary because it makes conversation and debate virtually impossible

    60% confidence
  • Mike Benz revealed how democracy was redefined to silence people, referencing USAID

    60% confidence
  • Cat Park allegedly subliminally conditions players to associate 'government corruption' posts as 'fake news'

    60% confidence
  • Nina Jankowicz described as a registered agent for the British crown

    60% confidence
  • Receiving the congressional subpoena was overwhelming and financially crippling, which was the point

    60% confidence
  • Government engaged in open collusion with social-media companies to suppress disfavored speakers, viewpoints, and content

    60% confidence
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Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
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Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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