Informational Actualism and the Foundation G: From Metaphysics to Computable Facts

This work proposes a formal solution to the problem of actualization—the transition from a space of possibilities Ω to a concrete fact ω*. We introduce 'Informational Actualism,' a theory stating that facts are selected via a variational principle: ω = arg min (K(ω) – log p(ω))*, where K is Kolmogorov complexity and p is probability. We argue that this selection mechanism requires a transcendental foundation G, which acts as a logical necessity for the existence of any fact. The paper includes a computational implementation using GPT-2 and zlib compression, demonstrating that the principle is irreducible to standard probabilistic sampling.