I thought the conversation discussing the process to make a prediction was very interesting since I could compare it to Professor Laibson's point of view. Professor Loeb's view that although these machines can make predictions based on simulations and data, it does not give us an understanding of how the machine is making a prediction is fair. I would also be very curious to "look under the hood" of a computer to see how machine learning is enabling us to skip various steps in the process of making a prediction. Find more about the discussion here.
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I would also like to know the 'behind the scenes' of AI and particularly ML during the prediction process. I feel that despite computers increasing efficiency when it comes to data processing and later giving an output to be interpreted/analyzed by a human, it kind of gets rid of the fun it is to manually formulate, say, a mathematical theory like Newton's gravity.