The energy efficiency of the human brain is truly miraculous.

The entire brain consumes only about 20 watts of power, with the part used for higher cognitive activities being even more astonishingly low—only 10 watts. Such a low-power organ has enabled humans to develop relativity, invent airplanes, and create the internet.

In comparison, existing AI models and data centers require enormous amounts of electricity to achieve similar computational capabilities. This paradox is worth pondering: the advantage of the human brain in energy utilization efficiency precisely highlights the vast gap between biological neural networks and artificial neural networks. If we can crack the secrets of the brain’s efficient computation, perhaps we will find the key to the next generation of AI.