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And IF we get to explainable models (i.e. https://aithority.com/machine-learning/neural-networks/deep-learning/abacus-ai-publishes-paper-on-explainable-machine-
by max002 5y ago
And IF we get to explainable models (i.e. https://aithority.com/machine-learning/neural-networks/deep-learning/abacus-ai-publishes-paper-on-explainable-machine-learning-for-neurips-2021/ https://aithority.com/machine-learning/neural-networks/deep-...) would that change its "usefulness" in physics world in your opinion? Not trying to fight or say that youre wrong. Just curious about perspective, im extremely detail oriented so i pick on them ^_^
- cblconfederate 5y agoit doesnt even need to be explainable. If a model comes up with an equation that reconciles quantum physics with gravity then we could try to reason how it came to it, but we don't need to. As long as the model described in the equation is understandable by humans it should be enough. However most ML models are black boxes that solve problems without generating models of the world (that we know of) Physicists and mathematicians are uncomfortable with computer-generated proofs. I think they 'd be less uncomfortable with computer-generated theories because they can understand those
- max002 5y agoPoints taken, thank you for explanation.