Season’s second guest was Daniel Samanez. We explored his “Theory of Every Process”—where reality is modeled as a recursive transformation of energy into structured information, minus residual entropy —a new-media turn in which neural networks function as quasi-analog information technology; how our notion of intelligence has been tied to symbolic/algebraic computation rather than analog/thermodynamic accounts; and why the path forward runs through analog computing. We’ll also touch on consciousness and accelerationism, LLM writing and neurodiversity, and the current AGI discourse.

Daniel Samanez builds a process-first theory at the interface of thermodynamics, information, and computation. In “A Theory of Every Process” he unifies entropy, information, computation, and mind. He prototypes Recursive Thermodynamic Theory in code and uses LLMs instrumentally in his writing pipeline. His current work revolves around formalizing process-first accounts of consciousness and agency and testing predictions in software systems. Samanez’s work can be found on X (@DanielSamanez3).