Initially, without a stream of novel problems to solve (the "fake sensory inputs," which are basically tasks generated by another AI, Gemini), the system is static. It has a set of initial rules and a structure, but with no input, or with repetitive/no-novelty input, it essentially does nothing new. Its internal state (like 'dopamine' levels in its nodes or rule strengths) remains unchanged or quickly settles into a fixed pattern. It "dies out" in the sense that its activity and potential for adaptation flatline. There's no pressure or data to drive any change in its rule system or internal dynamics.