Modern large-scale AI models and AGI-oriented systems face intensifying existential bottlenecks: exponential growth in compute demand, unsustainable energy consumption, thermal instability, and severe efficiency limits imposed by legacy von Neumann architectures. This paper presents a unified, physically consistent three-layer paradigm designed as a natural evolutionary solution to the global AGI compute crisis. At the physical layer, B³D-HPA (Block-Based Heterogeneous 3D Photonic Architecture) enables low-power, high-parallelism computation through continuous electromagnetic field evolution within dielectric media, indexed via a Physical Hash Address Table (PHAT). At the system layer, L-OS (Logic Operating System) serves as a lightweight hardware-native neural hub that maps high-level logical intent directly to optical phase configurations, bypassing traditional compilers and inefficient instruction pipelines. At the economic layer, Physical Tokens represent bounded, non-forgeable rights to invoke stable PHAT computational channels, anchoring digital value to physically constrained computing resources rather than abstract consensus or credit. This closed-loop ecosystem offers a thermally resilient, energy-efficient pathway to scale AGI infrastructure while establishing a naturally disciplined value layer for global computational resources.
Xiangning Chen (Fri,) studied this question.
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