Maximum Power Principle

The maximum power principle states that complex systems self-organize to maximize the rate at which they transform available energy into useful work — and that systems achieving this configuration outcompete systems that merely maximize efficiency. The distinction is decisive: efficiency minimizes input per unit of output; maximum power maximizes useful output per unit of time, accepting higher losses as the price of greater speed. Applied to AI, the principle explains the builder's appetite — the inability to stop, the compulsion to keep prompting — not as weakness but as thermodynamics. The tool removed the friction of implementation; the rate of useful transformation accelerated; the system reorganized around the new maximum. But Odum's full statement requires that the power be useful, which means the feedback loops sustaining the energy base must be maintained. Without that, maximum power becomes overshoot.