When watching Meade and Murphy's interview, one of the things that stood out to me was that Meade said that the math we use might simply be "outdated," or fulfilled most of its potential, meaning we need entirely new mathematical tools to properly model and understand the systems we are dealing with. What is even more worrying, according to him, is that theoretical mathematicians are not as ahead of experimental science as they used to be in the past. Now, in great part because of Machine Learning, we will get a "result" to some problem without fully understanding the mathematics that goes into creating that result itself. I hope we are smart enough to figure something out, and not get stuck with the same problems forever.
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