When comparing the energy efficiency of AI models versus human intelligence, one must account for the total energy cost of developing human intelligence, which includes approximately 20 years of life, all food consumed during that time, and the evolutionary energy of 100 billion humans who learned to survive and develop science; when measured fairly by comparing the energy required for a single inference query after training, AI has already achieved comparable or better energy efficiency than humans.
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AI가 전기 괴물이라고? 샘 올트먼의 뼈 때리는 반론Added:
One of the things that is always unfair in this comparison is people talk about how much energy it takes to train an AI model relative to how much it cost a human to do one inference query.
But it also takes a lot of energy to train a human. It takes like 20 years of life and all of the food you eat during that time before you get smart. And not only that, it took like the very widespread evolution of the 100 billion people that have ever lived and learned not to get eaten by predators and learn how to like figure out science and whatever to produce you. And then you took whatever you you know, you took. So the fair comparison is if you ask ChatGPT a question, how much energy does it take once its model is trained to answer that question versus a human. And probably AI has already caught up on an energy efficiency basis measured that way.
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