Speaker unverified: belief

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…I feel like this is an unanswerable question, but I'll just put it out there anyway. If we can answer this, I think it'll be worth a lot, which is, can we separate intelligence from knowledge? That's a very deep question, actually. And to have a little history background, I think that's really the key thesis at the beginning of AI. If you think about Neville and Simon and all those symbolic AI people, basically, they're trying to create intelligence by writing down all the knowledge. For example, they write a checker program, basically, how you will solve the checker. You write down all the knowledge and then implement that. I think the whole thesis of symbolic AI is, we should just be able to write down all the knowledge, and that just creates intelligence, but that kind of fails. And I think, really, a great quote from Hinton is, I think there are two approaches to intelligence. One approach is, let's deal with reasoning or thinking or knowledge, whatever you call that, and then let's worry about learning later. The other approach is, let's deal with learning first, and then let's worry about whatever, knowledge or reasoning or thinking later. And it turns out, right now, at least, the second approach works, and the first approach doesn't work. And I think there might be something deep about it. Does that answer your question? Partially. I think Apple Intelligence might change that. Can you explain? If this year is the year of multi-modal models, next year is on-device year, and Apple Intelligence basically has hot-swappable capabilities, right? They have 50 Loras that they swap onto a base model that does different tasks. And that's the first instance that we have of the separation of intelligence and knowledge. And I think that's a really interesting approach. Obviously, it's not exactly knowledge. It's just more styles. Context.…

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