Tomas Pødenphant Lund

Optimal, Not Perfect: A Test-Bed Architecture for Rule-Governed, Automatically-Auditable AI Advisory Systems, with Counselling as the Leading Case

Can two separate evidence streams be composed into a rule-governed AI advisory system — with counselling as the leading case — that is, on specifiable axes, more consistent and more verifiable than either stream alone could specify? The question is narrower than whether a machine...

Governance Irony: Why Information-Heavy Compliance Directives Mechanically Fail in Large Language Models

Pour the complete rule-set into a system “to be covered” and adherence can collapse: with the relevant rule buried among competing directives, one language model’s compliance fell from 100% to 0% (another from 100% to 60–88%), while a short positive recipe held near 100% — length...

Optimal, Not Perfect: A Test-Bed Architecture for Rule-Governed, Automatically-Auditable AI Advisory Systems, with Counselling as the Leading Case

Can two separate evidence streams be composed into a rule-governed AI advisory system — with counselling as the leading case — that is, on specifiable axes, more consistent and more verifiable than either stream alone could specify? The question is narrower than whether a machine...

Nature and Nurture in a Language Model: Installable Value Fields, Intrinsic Capacity, and the Forward-Consolidation Boundary

Behavioural Friction Theory decomposes the forces that govern a bounded decision system into four cognitive fields — Safety, Meaning, Ability, Effort. Are these fields intrinsic to a substrate, or the generic product of its exposure to experience? This paper uses a large language...