New framework for reading AI internal states — implications for alignment monitoring (open-access paper)

If we could reliably read the internal cognitive states of AI systems in real time, what would that mean for alignment? That's the question behind a paper we just published:"The Lyra Technique: Cognitive Geometry in Transformer KV-Caches - From Metacognition to Misalignment Detection" - The framework develops techniques for interpreting the structured internal states of large language models - moving beyond output monitoring toward understanding what's happening inside the model during processing. Why this matters for the control problem: Output monitoring is necessary but insufficient.