Recursive Cosmic Evolution Hypothesis: A Speculative Framework for Intelligence, Artificial Evolution, Information Accumulation, and Cosmological Transitions

This paper presents the Recursive Cosmic Evolution Hypothesis, a speculative interdisciplinary framework connecting cosmic evolution, biological life, intelligence, technology, artificial intelligence, information accumulation, and possible cosmological recurrence. The hypothesis proposes that the development of intelligence may lead to increasingly advanced technologies and artificial intelligence systems. In a possible long-term recursive process, artificial intelligence could become an environment for the emergence of new forms of intelligence and artificial evolution. These new intelligences could inherit accumulated information and generate further technologies, creating repeated cycles of intelligence, technology, artificial intelligence, and new intelligence. The framework further proposes that accumulated knowledge could increase evolutionary efficiency by reducing the need for later intelligences to rediscover previously established information. As a speculative extension, it explores possible relationships between increasing information density, decreasing effective spatial freedom, and decreasing effective evolutionary time. The hypothesis does not propose that the ultimate critical state occurs after every cycle. Instead, many recursive cycles may occur before an extreme state is reached. At a hypothetical Ultimate Critical Point, accumulated information could become extremely large while effective spatial and temporal freedom becomes extremely limited. The central cosmological question is whether such an extreme state could undergo a Big Bang-like transition into a new expanding Universe. Under this interpretation, the Big Bang might be viewed not necessarily as an absolute beginning, but as a transition between a preceding recursive cosmic phase and a new cosmological phase. This work is speculative and does not claim to be an established scientific theory. The proposed relationships between knowledge, information, intelligence, space, time, and cosmological transitions require rigorous mathematical formulation, physical modeling, computational investigation, and observational testing.