 And this is the error of massive, massive data flow. And this is the massive data flow that science has never ever encountered before, right? So compared with the 20 years ago, we scientists always also have to change the way that we understand the world, right? But this massiveness is not a new one because I have one single habit that I usually do. That is, I watch TV. But I don't watch TV program, but I watch TV screen very close from the distance. So when you zoom into the screen, you have some dots and beautiful dots. And coming, zooming, zooming, just beautiful sparkling dots. But you don't understand what this one is, but you can't stop watching it, right? So such a beautiful time, you know? I really like it. I usually do this. Not only TV screen, but computers also, right? But sometimes it's not a happy time, right? So when I go to a very unfolding country, which I've never been there, I came out from the entrance of the subway and I get out to the middle of nowhere, right? It's thousands of noises, foreign language. I don't really understand what they're talking about, right? I just, you know, where do they exit? But stop doing that. You have to enjoy your embarrassing situation, but I can't do that, right? It's so confusing, so unhappy time, right? So these two times, massive data in everyday life, right? But it's not disadvantageous. I try to understand, you know, we have a bunch of sensory organs in our, you know, our surface of the body, and this massive data is always coming to the brain, right? And it's in our brain, our mind, must cope with this massive data flow, right? And this is impossible. How can it be possible, right? But then I try to take it around, right? Maybe the mind emerges from the complexity of the massive data flow. That's what I want to understand. Don't think about, you know, try to put things after you have a massive data flow, but massive data flow emerges, mind emerges from the massive data flow, right? So to prove my theory, I made a virtual machine and put it in a museum. Thanks for your welcome. It's Yamaguchi Prefecture. The outlook is like this one. It's a huge one, a gigantic machine. We have 15 video cameras. It's shooting the videos from one screen to the other screen and projecting onto the other screen, right? But there's adaptive neural networks is running behind the system and try to modify the images and try to memorize the images, right? Then I let them run for three months. It's just running and running and people coming in and people go by, right? And what does it go, right? This system is, there's no memory. I mean, there's no mind for the first time, but then it gradually memorize something that is going on there, right? Then you can, this is the one of the examples that I see. But gradually the system is so interesting. It's so different in the morning time. So in the morning, you know, it looks more calm because they need a coffee probably, right? Just so softly, you know, gearing up. But they can also play music with performance, live performance. They are playing the music with live performance. But also when I, this is the very, before the opening day, I finished it. So they say hello to me. It's a final, you know, my sort of memory there that I say goodbye to him, right? Or her, maybe. So my content is that whether this is science or art, right? People care, do you do science or do you do the earth? But it's okay. I don't care about whether it's science or art. We have to integrate all my knowledges about science and earth, try to understand what is life and what is mine. That's my mission. So that don't mimic biological life that exists already, right? You have to create a new kind of something that must be greater than, larger than life, biological life. Then this artificial life, it may be quite different from what I, you know, the existing life, but might be have some mind emerging on top of the complexity over the massive data flow. That's what I'm doing. Thank you very much.