AI can remix recorded ideas but not private experience

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

1. 37:10

   Andrew, I know you put a lot of thoughts into this question, and I think it's a very important question. And let's peel this one step at a time. First of all, TLDR short answer is I agree with you, that we do have to be very careful recognizing What AI can do, is likely to do, not conjecturing over 100 years or whatever. I recognize what you just said are these extremely nuanced, personalized, hard-to-characterize or not even captured human cognitive behaviors.

2. 37:52

   And because they were not captured, then they were not uploaded on the internet. and we don't have, today's AI doesn't have a way to do that. So when you call internet, which is the source of AI's data, let's be very clear what is internet. Internet is not some random thing. Internet is the biggest collection of human behavior in multimodal forms. Let's break it down further. internet has the world's population typing on it for many many at this point multiple decades that typing is a sensing mechanism that captured everything from teenager chit chat all the way to deep scientific articles who did got digitized and get uploaded right so that capturing human language is what internet is super good at. Then internet captures images. How? Because we now have digital cameras that's so prevalent in smartphones and digital cameras so that humans love taking

3. 39:11

   photos from, you know, the cat in your house to selfies to beautiful, you know, BBC captured photos, those also got uploaded in our digital sphere. On top of that, there's videos. Videos now has sound, has movements. That also got uploaded to our digital sphere. On top of that, there's music. We're not even getting into the legal discussion of copyrights, but let's just table that aside. I'm just talking about the forms of data. The speeches and singing and music and orchestra, that also got uploaded into the digital sphere.

4. 39:53

   So now we have created this humongous library of human. knowledge in words, human behavior in videos, human expressions, or even nature's whatever in sound. And now AI gets trained on that. That is why it's so powerful. This is why, especially in the words front, that AI can recognize patterns, can synthesize patterns, because so much of this is already there. But the thing that you just talked about, that when, let's say, Picasso had that incredibly profound thought about that particular way of expressing that portrait of the young woman, that thought has never been captured.

5. 40:51

   In fact, as neuroscientists, if I ask you which brain area did that thought come from, you don't know, right? Is it BRCA? Is it V1? Is it motor? Is it prefrontal? We don't know. Maybe it's diffused everywhere. Because that thought is so personalized, so special, you can call it creativity. You can call it emotion. You can call it whatever you want. You can call it Cat 231, whatever name you can give it.

6. 41:21

   That thought is not captured. Therefore, it's not on the internet. Therefore, AI has not seen it. So that is where humans still remain so unique. But we also need to give credit to AI. Because AI has learned so many things, it can combine information in a highly creative way. Did you remember Move 37? This is AlphaGo, right? Move 37 has symbolized AI's creativity. I think it's both true but can be taken out of context because that was a game when AlphaGo was playing Lisa Dole.

7. 42:04

   And I think it's a third game out of the five games that AlphaGo as a computer algorithm made a move that the human masters of Go never thought about. And that is an incredible move, right? Because really, humans collectively, these are the masters, never thought about it. But if you really go deep in... to what AI did there, it was because, first of all, goal is a highly mathematical game. It has very clear mathematical objective, very clear mathematical rules in terms of move.

8. 42:44

   So when AI having a bigger compute and ways to retain how many moves it can remember, it was able to do things that human brains don't typically do. So is that called creativity? I think it is. But we do have to recognize that's a special kind of creativity. I was talking to an incredible mathematician of our time, and I was asking him about the unsolved problem of mathematics and how AI can contribute to that.

9. 43:19

   And he was very positive. He said there are many problems in today's mathematics. As hard as they are, even as, say, a field mentalist, I probably have forgotten there are known methods in math that can solve these problems because I have a human brain. I don't remember, I don't know all of math's solutions in the past hundreds of years, even if I were a field medalist. So AI can help us to solve these problems.

10. 43:55

    But as a mathematician, he was also telling me, he said, I don't know if AI can solve all of math problems because some of these math problems require solutions that have not been invented, that will push creativity to a whole different level. And this is where, you know, we should be curious, is it going to be a human creativity or AI would go through its iterations of improvement and get to a point of creativity that humans don't have?

11. 44:28

    Or is it a combined creativity? My current conjecture is hybrid, is that humans working alongside AI would help us to solve these problems whose solutions have yet to be invented.