“I think it's kind of important to think about the fact that originally, neural networks were inspired by neurons, really by our brains, but fundamentally, brains are really different than AI models, currently. Brains are quite efficient. For example, we won't be using all of our neurons all the time. If we're recognizing a face, or if we're speaking, or if we're drawing, or if we're watching a movie, or reading a book, there are different zones. And I think that that's kind of the core of the issue because whereas we can kind of use a portion of our brain, depending on the activity, neural networks don't have that built-in efficiency.”