Find Pockets of Reducibility

And perhaps the best we can hope for is that we’ll be able to find pockets of reducibility, and that AI will “understand” enough about us and our intellectual history that it’ll be able to suggest a manageable path of new concepts that we should learn to develop a successful scientific narrative for what we discover. page , dmx See Science as Narrative

In any computation that is “not obviously simple” we may find pockets of reducibility, areas of its phase-space that we can predict, but we can never fully anticipate its behaviours and outputs. Why does this matter? It matters because, as we will see, this characteristic is at the heart of a fundamental ontological paradox in computational media. –– Computational Media and the Paradox of Permanence, p. 37

=> Z13: Paradox of Permanence (Core Claim)