Google processes 3.2 quadrillion tokens monthly, consuming 12 gigawatts of power—half of all AI's energy demand worldwide. Naveen Rao, CEO of Unconventional AI, reveals how 4D computing using dynamical systems achieves 500 nanojoules per image—orders of magnitude more efficient than GPUs—by eliminating the von Neumann architecture's wasteful memory-compute separation. His team built the first physical dynamical computer in five months, proving biology's 20-watt brain model can inspire a new machine paradigm to close the trillion-dollar AI market's looming three-year energy cliff. Energy now dominates data center costs: 50% of serving a token is energy expense, forcing companies to prioritize power contracts before infrastructure.