What do the recent advances in artificial neural networks teach us about neuroscience? It would be great to have an interview with an AI researcher.
Does the training process and design of modern artificial networks teach us something about the learning process and architecture of the human brain? I've heard arguments from Richard Ngo that the human brain is a larger neural network, but trained on smaller datasets compared to Large Language Models like ChatGPT. Are there certain tasks that the human brain is better suited for than an artificial neural network given these differences?
Are there certain subjects that have broad indirect cognitive benefits?
For example, if someone studies a new language or practices computer programming, would they expect to see benefits in unrelated displicines that may leverage similar neuronal circuits? Could this be leveraged by dedicating learning bouts to learning new subjects that have broad impact?
Coffee - Regular milk or Almond milk or Soy milk or Oat milk?
Situation: I love drinking coffee every morning. I usually drink Latte with regular full cream milk and it gives me a good start of the day. I am not addicted to caffeine, and can go about just fine without a coffee. Complexity: I am told that regular milk is not good for health hence I should take my coffee with alternatives like Almond milk or soy milk or oat milk. I have tried different options but I don’t like the taste of alternative milk and I don’t feel sick or unhealthy after drinking coffee with regular milk. Question : Is regular milk bad for health? If yes, which milk is the best alternative from health point of view? In general, what are the considerations for dairy products from health point of view? Is low cream a better alternative to a full cream milk?