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The Accountability Gap: Why the U.S. AI Debate Must Shift from Capability to Governance

The Accountability Gap: Why the U.S. AI Debate Must Shift from Capability to Governance

As the U.S. obsesses over AI model performance and geopolitical competition, critical questions about algorithmic accountability and societal impact remain unaddressed. This analysis argues that unchecked AI integration in policing, military, and public systems risks eroding democratic institutions through opaque decision-making and power imbalances. The path forward requires enforceable transparency standards and public-interest audits to align technological power with civic responsibility.

The AI Illusion: Physicist Sabine Hossenfelder Exposes the Hype Gap in Modern Artificial Intelligence

Theoretical physicist Sabine Hossenfelder delivers a scathing critique of AI's overpromises, arguing that current systems like ChatGPT exhibit 'diminishing returns' despite massive resource consumption. Her analysis reveals fundamental limitations in large language models and questions whether the tech industry's AI gold rush is diverting resources from more meaningful innovation.
The Tools Trap: When Developer Pragmatism Perpetuates Big Tech's Grip

The Tools Trap: When Developer Pragmatism Perpetuates Big Tech's Grip

A provocative critique challenges the common developer stance of viewing technology as mere tools divorced from their makers, arguing that this pragmatic indifference fuels Big Tech's dominance and stifles meaningful change. The piece explores the tension between ethical consumption and the harsh realities of ecosystem lock-in, workflow friction, and the daunting scale of corporate power.