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The Interpretability Pivot: How Anthropic’s Research is Redefining the 2026 AI Safety Landscape

"The interpretability pivot represents a fundamental shift in AI safety, moving from external behavioral monitoring to internal neural auditing. By leveraging Sparse Autoencoders to map millions of distinct concepts within frontier models, Anthropic researchers are now able to identify, monitor, and mitigate hidden risks like deception or power-seeking tendencies directly at the source. This transition from "black box" reinforcement learning to "glass box" mechanistic understanding defines the current 2026 regulatory and technical standards for high-assurance artificial intelligence. The End of the Black Box Era: Why 2026 Demanded an Interpret..."

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