
AbstractThe rigid forward-only arrow of time remains the deepest bottleneck in computation.This paper introduces the Retrocausal Chronophotonic Orbital Mesh, powered by The Photonic Observers Family, with Flickering Photonic Observers (FPOs) as its parent. The family is extended by the author through behavioral attributes drawn from existing theories, integrated as distinct photonic modes.Each photonic observer reacts differently in a positive manner to stimulate photonic movements, enhancing efficiency, coherence, and retrocausal optimization of the mesh.Operating within the Transactional Interpretation (Cramer, 1986) and Wheeler-Feynman absorber theory (1945), the framework dissolves linear time inside future silicon-photonics AI chips and the Starlink-derived orbital mesh, forming a closed-timelike computational manifold.The theory predicts dramatically increased data transfer speeds and storage capacity, plus one-pass AI training convergence through retrocausal handshakes. It directly addresses manufacturing challenges in Tesla’s Terafab project and offers a pathway to hardware-realizable temporal non-locality. Email: mastrianni@proton.me
Photonic Observers Family Flickering Photonic Observers FPOs Retrocausal Chronophotonic Orbital Mesh Transactional Interpretation Wheeler-Feynman absorber theory Temporal non-locality Silicon photonics AI chips Starlink orbital mesh Retrocausal computing Photonic time crystals Tesla Terafab AI photonic computing
Photonic Observers Family Flickering Photonic Observers FPOs Retrocausal Chronophotonic Orbital Mesh Transactional Interpretation Wheeler-Feynman absorber theory Temporal non-locality Silicon photonics AI chips Starlink orbital mesh Retrocausal computing Photonic time crystals Tesla Terafab AI photonic computing
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