Scientists identify what it takes for AI to become conscious

The possibility of artificial intelligence achieving consciousness hinges on the debate between computational functionalism and biological naturalism. While functionalism suggests consciousness arises from information processing regardless of the physical medium, a new "biological computationalism" framework identifies three critical structural differences that current large language models lack. First, the human brain operates as a multi-scale system where consciousness emerges from interactions ranging from molecular reactions to large-scale electrical oscillations. Second, biological processes span vast temporal scales, interpolating between digital and analog signals in ways current AI cannot replicate. Finally, the brain’s evolution was driven by extreme metabolic constraints, suggesting consciousness may be a byproduct of energy-efficient thinking rather than raw computational power. These distinctions imply that while biological tissue may not be strictly necessary for consciousness, current AI architectures are unlikely to replicate the specific conscious processing found in biology.