Gold-Standard AGI: Inner AGI Superalignment
Aaron Turner · Zenodo (CERN European Organization for Nuclear Research) · 2026
An earlier paper, Gold-Standard AGI: Outer AGI Superalignment, introduced the concept of Gold-Standard AGI; that is, AGI (Artificial General Intelligence) that is both maximally-aligned and maximally-validated. The first of these properties --- alignment --- is traditionally decomposed into outer alignment (how do we define a final goal FG_G that correctly states what we want?), and inner alignment (how do we build an agent G that forever pursues FG_G as intended?) The earlier paper presented a complete, foundational, and self-contained theory of AGI, culminating in an implementation-neutral solution to the outer AGI alignment problem in the case that G is superintelligent (hence "superalignment"). Following on from the earlier paper, the present paper presents a solution to the inner AGI alignment problem for superintelligent G, including a novel cognitive architecture, and corresponding construction sequence, for superintelligent AGI. Following the example of the earlier paper, we adopt a pedagogic style throughout, in order that the paper might be accessible to less technical readers such as AGI policymakers.