Training a single AI model can emit as much carbon as five cars in their lifetimes MIT Tech Review Training an AI model has the equivalent carbon footprint as five American cars, including fuel usage, according to researchers at the University of Massachusetts, who performed life cycle assessments for training several large AI models. While that figure relates to a neural net with more than 200 million parameters, the study highlights the unbelievable efficiency of the human brain. The bigger question now is whether we will build machines that rival the brain for efficiency. To be energy-efficient, brains predict their perceptions Quanta Magazine Many neuroscientists view the brain as a "prediction machine" which, through predictive processing, uses knowledge of the world to make inferences or generate hypotheses about the causes of incoming information. Computational neuroscientists are building artificial neural networks that learn to make predictions about incoming information.