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**Beyond Jupiter's Brain: A Formal Framework for Universe-as-Computation in Cosmic-Scale AI**
- The article presents a formal framework for a hypothetical Jupiter-brain-scale intelligence utilizing entire universe simulations for computation.
- It proposes leveraging physical principles like uncertainty, relativity, and black hole theory for highly efficient computation.
- It explores a paradigm where the fabric of spacetime serves as the computational substrate instead of conventional information processing.
- The framework is grounded in computational complexity theory extended to cosmological scales.
- It defines problem spaces, theory spaces, parameterized universes, and computational multiverse ensembles.
- The article outlines a five-phase computational cycle involving problem decomposition, cosmological evolution, state extraction, synthesis, and Bayesian learning.
- It discusses resource requirements, scalability analysis, and information-theoretic bounds for universe simulations.
- Theoretical implications include computation as physics, emergence of meta-intelligence, and the cosmological computing hypothesis.
- Experimental validation protocols involve micro-universe simulations and scaling projections.
- The concluded framework formalizes a universe-simulating intelligence with mathematical rigor and proposes new research directions.
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