The Free-Energy Architecture of Discovery-Capable Intelligence
Large language models optimise fluently inside a fixed representational space but do not reliably produce genuine discovery; the field has treated this as a tuning problem. We argue it is an architectural one, and we derive the required architecture from first principles rather than inferring it from current systems. T...