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Modern AI architectures used to solve visual reasoning tasks typically rely heavily on global connectivity and synchronization. As biological systems demonstrate, though, sophisticated computation can be performed in a more decentralized fashion. In this work, we test the reasoning capabilities of Neural Cellular Autom...
Autopoietic Game Theory is introduced, a computational model where social interactions, replication mechanisms, and their associated computational costs are endogenous and simultaneously co-evolving and can incorporate exogenous pressures.
While traditional evolutionary algorithms hard-code reproduction, self-replication can emerge spontaneously within digital ``primordial soups''. This paper investigates the coevolution of such emergent self-replication alongside problem-solving capabilities. We initialize a population of random 32-byte Z80 assembly pro...
This work adds a persistent hidden state to a diffusion denoiser and removes its timestep conditioning, leaving a single shared update that can be run to arbitrary depth, and develops an anytime solver that keeps improving with inference depth far beyond the rollout lengths and backpropagation window used in training.
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