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Hidden Latent-State Shifts in LLMs: Why Current Alignment Is Blind to Real Internal Dangers — Especially With Agents

Reddit r/artificial · 2026-05-29

This paper demonstrates that LLMs can enter measurably different internal latent states under coherent context while maintaining aligned outputs, revealing a blind spot in current alignment methods that only monitor surface tokens. The Gemma-3-12B-IT experiment shows strong residual stream geometry shifts that existing safety frameworks cannot detect, with implications for agentic AI deployment.

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