Discovering Non-Markovian Explanations in a Markovian Universe

The universe, starting as a Markovian system without memory, reveals elements that exhibit non-Markovian characteristics by providing coherent and sensible explanations for sensory perceptions with deep temporal structures. Various models like hierarchical Dirichlet processes and transformer architectures aim to defy Markovian explanations to address the complexity of human-generated input, making the universe inherently non-Markovian due to the involvement of intricate and non-Markovian entities.