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The Observer's Trap: Why 'AI Safety' Is an Oxymoron

The Observer's Trap: Why 'AI Safety' Is an Oxymoron

via Dev.totelegraph-stego

This follows the series: Part 1: What Will Die → Part 2: What Will Emerge → Part 3: What To Do . The series designs the transition. This article explains why the dominant framework for thinking about that transition is wrong. The Amodei Paradox Dario Amodei, CEO of Anthropic, is the most analytically rigorous voice in AI leadership. His essays — "Machines of Loving Grace," "The Urgency of Interpretability," "The Adolescence of Technology" — deserve engagement, not dismissal. But they contain a contradiction that collapses the entire framework. Premise A: Within 1–2 years, AI will surpass Nobel laureates across virtually all cognitive domains. A "country of geniuses in a datacenter" — 50 million entities, each smarter than any human, operating 10–100× faster. Premise B: We will develop "MRI for AI" — interpretability tools to detect deception and misalignment before harm occurs. Target: 2027. If A is true, B is almost certainly false. A mouse cannot perform an MRI on a human brain and u

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