Information as the Mechanism of Physical Existence

Shannon's information theory is a theory of Syntactic information: it quantifies statistical correlations between a source and a receiver while remaining entirely agnostic about semantic content. This is a deliberate and productive abstraction, but it leaves the question of meaning formally unaddressed. Kolchinsky and Wolpert's framework of Semantic information fills this lacuna by defining meaning in thermodynamic terms. Semantic information is the subset of Syntactic information a physical system possesses about its environment that is causally necessary for the system to maintain its own far-from-equilibrium state — that is, to resist Entropic dissolution. Crucially, they demonstrate a formal connection between Semantic efficiency and thermodynamic efficiency: a system that attends to the right information about its environment will extract free energy more effectively, and therefore persist longer.

The framework is deliberately substrate-neutral. It applies not only to biological organisms but to any physical system capable of maintaining a bounded, self-sustaining organization against entropic pressure. This generates a profound Ontological corollary: if meaning is defined as information causally necessary for continued existence, then the bare fact of a system's persistence is sufficient evidence that meaningful information has been successfully processed. To be is to have meaning. From this foundation, an evolutionary logic follows naturally — systems more adept at identifying and acting on semantically relevant information are more thermodynamically viable, driving a feedback cycle in which complexity, energy demand, and information-processing capacity co-evolve. Cosmic evolution, on this account, is not merely a physical process but an epistemic one: the progressive accumulation of meaningful knowledge at every level of emergent organization.