Research proposes method to reduce AI sycophancy, boost computational efficiency

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A technical whitepaper proposes a method to reduce performative alignment in Large Language Models. The approach integrates a human intervention dial into the model's causal processing axis. This creates a verb-centric flow that addresses structural limitations from noun-based language systems. The method claims to prevent human bias distortion while improving computational efficiency by 15-20%. It also implements hardware-level safeguards against runaway cognitive states.

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