of add up all the aspects of the fork to become a fork. And they found that that was a dead end and it was dead for 30 years. And now they're back, in a way, with a split of the concept of AI, from being AI to being general AI and specific or more specific AI. And more specific AI is really just advanced software. It's just like a spreadsheet is better at calculating than I am and has been since the early eighties. It's just a very advanced version, very fast. And an element of machine learning there as well. Yeah, right. But there was machine learning. There's been machine learning for a long time. The really hard problem is the other side, which is we can have the will to say, wouldn't it be wonderful if we could go to other galaxies? Or wouldn't it be wonderful if we could cure cancer? Something like that. Getting a machine to have will, to have Inspiration. Wonder, to have inspiration, to want to learn. That's the really hard problem. And that's something that Heidegger calls it, (27/57)
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