Human, animal, and machine learning processes to have common points (vide https://p.migdal.pl/2019/07/15/human-machine-learning-motivation.html https://p.migdal

Human, animal, and machine learning processes to have common points (vide https://p.migdal.pl/2019/07/15/human-machine-learning-motivation.html https://p.migdal.pl/2019/07/15/human-machine-learning-motiva...), even if the low-level mechanics is different (at least for biological brains vs GPU operations). We were already puzzled by some similarities (see: "Does AI have a dirty mind, too?" https://medium.com/@marekkcichy/does-ai-have-a-dirty-mind-too-6948430e4b2b https://medium.com/@marekkcichy/does-ai-have-a-dirty-mind-to...). > Unfalsifiable non-insights By all means, it is falsifiable. We can present some training materials and alter the sleep pattern for a fraction of subjects. If generalization is not more affected than the ability to work with the memorized material, we falsified that. > We don't even know how the brain does almost anything and you think you can use trendy AI topics to explain something as complex and mysterious as dreams? With this approach, we can safely quit all science. All in all, it is hubris that a mammal brain can understand the universe. Insights, ideas, and testable hypotheses offer us a way to make educated guesses. Occasionally they provide a way to understand more.