The compression framework posits that consciousness is the functional result of the brain's drive toward maximum informational efficiency. Rather than being a mere byproduct of complexity, a conscious state represents an internal model that captures the deep structure of sensory inputs with minimal redundancy. By utilizing principles from algorithmic information theory, such as Kolmogorov complexity and Shannon entropy, this model defines the mind as a system that minimizes its description length to navigate a high-dimensional environment.