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  • What REM Sleep’s Energy Paradox Tells Us About AI-Assisted Rest

    A new study from Tohoku University found that during REM sleep, neuronal energy levels drop even as blood flow and metabolic inputs surge — an ‘energy paradox’ that challenges the brain-as-battery model underlying most AI productivity design. If the brain’s most restorative state is also its most metabolically counterintuitive, the assumption that AI offloading conserves…

  • The Accountability Gap at the Heart of Predictive Policing

    Predictive policing systems are failing not because AI is inherently biased but because they were deployed without the audit mechanisms, transparency requirements, and civil accountability structures that make high-stakes public decisions legitimate. The failure is a specific procurement and governance design problem — one that can be named, and in principle fixed. Understanding what is…

  • AI Code Generation Is Shipping Faster and Trusting More

    AI development tools have shifted from autocomplete to code generation at scale, but enterprise teams are absorbing the change as a productivity upgrade rather than a trust model change. When AI generates the modules and humans approve them, code review based on author intent breaks — and security scanning and supply chain documentation become mandatory,…

  • AI and the Uneven Productivity Gains Across Industries

    AI and the Uneven Productivity Gains Across Industries

    AI’s rapid adoption has led to significant productivity gains in specific sectors, but these benefits are unevenly distributed across industries and regions. This raises important economic questions about AI’s broader impact and the need for strategic interventions.

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