Brain uses 12 watts to think compared to 2.7 billion watts for an AI system

With only 12 watts of power, the human brain efficiently operates 100 billion neurons, a feat that surpasses the energy efficiency of a lightbulb. In contrast, simulating brain function proves to be an energetically costly endeavor. The Blue Brain Project, for example, demanded 2.7 billion watts to operate, an amount comparable to the energy output of a nuclear power plant, yet it still functioned at a slower rate. Furthermore, the energy requirements for training AI models like GPT-3 are substantial, totaling 1.3 GWh, while each ChatGPT response requires 0.34 Wh. These comparisons highlight the remarkable efficiency of natural systems.

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