Thermodynamics of Thought: The 20-Watt Human Cortex vs. Megawatt GPU Clusters
The human brain achieves extraordinary general reasoning, multimodal binding, and continuous learning on approximately 20 Watts of continuous metabolic power—governed by the fundamental Landauer dissipation bound. How do modern algorithmic architectures compare, and what structural lessons can autonomous software engineering draw from biological energetic efficiency?
1. Metabolic Dissipation: Biological synapses execute neurotransmitter re-uptake at ~10⁻¹⁸ Joules/event, nearly 1,000,000× closer to Landauer's thermodynamic ceiling than silicon CMOS gates at 3nm nodes (~10⁻¹² J/FLOP).
2. Sparsity Principle: Neuromorphic routing achieves 99.1% temporal sparsity, executing compute solely upon asynchronous action potentials.