>Unfalsifiable non-insights by people trying to apply arbitrary deep learning algorithms to a brain which is definitely not using any of them. DLcentrism? We do

>Unfalsifiable non-insights by people trying to apply arbitrary deep learning algorithms to a brain which is definitely not using any of them. DLcentrism? 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? Mistaking analogies for models. Analogies (e.g., "machine learning" and "neural network") can help introduce ideas in a discussion. And if the analogy sparks new questions, that's also fine. One just needs to come up with a valid model and run experiments. But some people try to harvest new insights without leaving the analogy. This is worsened when they do experiments to find supporting evidence instead of trying to disprove the hypotheses.