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  1. The prevailing 'superposition' theory, which claimed AI internals are scrambled, is largely incorrect due to flawed early tooling and outdated model architectures. Modern analysis reveals that most detectors in large models have a single, clear function.

    Impact: This reframes AI safety from an unsolvable mystery to a solvable engineering problem, potentially accelerating the development of robust auditing tools.

    — from AI Interpretability Breakthrough Reshapes Safety Strategy · The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis· Oct 18, 2026