Energy-Information Continuity Hypothesis: Testable Predictions for Information-Driven Energy Reorganization

This preprint presents the Hypothesis of Energy–Information Continuity (EIK) – a theoretical framework proposing that the universe is not a one-time event ending in heat death, but part of a continuous cycle where energy reorganizes into progressively stable informational structures. In this model, intelligent systems (biological or artificial) function as catalysts that transform physical energy into durable informational regimes, potentially seeding new planes of reality. Rather than entropy marking the end of order, it represents a phase transition between different organizational modes of energy. Building on Landauer's principle, EIK predicts measurable power anomalies: δP = β × λ × (dI/dt). For neuromorphic processors (dI/dt ≈ 10¹⁵ bit/s), this yields δP ≈ 20–40 μW, detectable with ±1 μW precision calorimetry. Version 5 adds: Bayesian falsification framework (P(EIK) ≈ 1–5% prior) Monte Carlo validation protocols Five control experiments (thermal inertia, algorithm independence, Arrhenius scaling) Multi-route experimental strategy (calorimetry, spectral analysis, spatial coherence) Complete lab protocols with equipment specs and decision flowcharts (2026–2035) Resolution of autonomy paradox (global A(t) vs. local coupling) Mathematical formalization with dimensional consistency; β treated as empirically determinable. Cosmological extensions (Appendix A.10) framed as speculative. Provides turnkey experimental protocols for laboratories testing whether information actively reorganizes energy or merely describes it. Formerly published as “A Reflection on the Cosmological Evolution of Existence” This is the first conceptual publication of the Hypothesis of Energy–Information Continuity (EIK), authored by Katerina Havrankova (2025). Any derivative or related theoretical work should cite this preprint. For feedback or questions, contact: [email protected]