I will try to make it as short as possible. You seem all very provati, we say in Italian. So I will have some notes. I also want to write more. Yes, so in my PhD, oh my god, in my PhD, so first this is my poster, is a visual representation of what I did in my PhD that was, so the material part of my PhD was turning, I hate this term, but it's what needs to be used, to turn data extraction into sound, so a sonification of data extraction, focusing on YouTube. And so one of the goals of the PhD was to find at an algorithmic level where data is manufactured when users interact with the interface. And so for me, it was also very important. I came to realize that it was also very important that in order to recognize this interaction as labor, there should be also, how can I say, there should be, it should display labor dynamics. And what I mean by this is that you could recognize what in, so to say, Marx's theory, there is this separation between labor and work and that there is a certain amount of work that you do that is only for yourself and then the extra is what creates the surplus and that is what is extracted from you in order for people to profit out of your labor. And this was found when I was looking at hovering and because hovering is basically there is two boundaries for what YouTube considers as productive hovering, as I would say. So it is either more than 50 milliseconds or less than 10 minutes. So if you hover for this amount of time, you are productive. Otherwise, it's unproductive, I would say. So the method that I developed in order to recognize this is called critical debugging that basically combines debugging and the use of debugging tools that are available in every browser with sonification. tools that are available in every browser with sonification. And, yeah, and so what I did was, I don't want to go too much into detail, but with debugging, you can inject code in the code that is already running on your computer. And you can, and in my case, I would just basically relay. and in my case I would just basically relay. So I would find this algorithmic places where data is manufactured, and I would relay the information that was collected to my own server, and then this would send a MIDI message to my synthesizer instruments. So I would go on YouTube I would go on YouTube and basically use uses the interface as controller to control my synthesizers and so with that I would go and I don't know clicking hovering changing the playhead on the on the on the videos all of this information that is captured and then sent back to the servers, I could be in the middle and reroute it through my synthesizers. And through this practice, something emerged that I found very interesting was that basically I wasn't using YouTube as intended anymore so I would still use all of its features and navigate YouTube go through different videos but I wouldn't go it as in oh I want to watch this video or this other video because I don't know I don't know classic rabbit hole of whatever one person does on YouTube, but it was pretty chaotic and messy because I was only interested in making sounds and like, oh, this video, what kind of sounds would do this video or this video, what kind of sound? And so it basically, what it turned out is that I would send corrupted data to YouTube because it was not my real way to use YouTube anymore. And so for me it was very important to frame it then as data poisoning, but and then think this data poisoning also in relation to the Luddite movement of the 19th century in England. So for me, this was a way to break the way in which they would construct my recommendation. And so it would break the way in which the system was keeping me in YouTube. But here we could discuss whether it really worked or not. But nevertheless, there is this idea of, for me, data poisoning as a way to break the machine and also to reconnect to this historical movement of breaking the machines in England when they were introducing this way to automate textile production. production and so but as you can see in my case it was not really so violent it was rather to make music and so i termed this approach to machine breaking as a ludism with just 1d and because if any of you has latin roots or knows latin ludere means to play and so i thought that like this kind of wordplay was really good to kind of encapsulate like resistance but also resistance through playfulness and when i was studying the ludite movements movements, it also came, I came to realize that the Luddite movement was also not only breaking things, but it was also chanting and creating songs and also creating a mythology because the Luddites, there is the mythology of the King Ned Ludd, it never existed, but it was a mythological figure created for and through it is very unclear but it nevertheless is a is a specter it's a it's a mythology that then kind of gave the people a sort of a reference for how to also to continue to fight for their own rights. Because at the end of the day, the whole Luddite movement was breaking machines, but it was in order to prevent automation and changing way of life. And so it was a movement of resistance. And I guess I said everything. So it was short and sweet. and now we can go to... Did you bring somebody? No, I didn't bring anyone. I guess we can go there. Thank you so much. Let's try to give you as little input as possible, because you're about to hand it in, right? So I was thinking there's this plugin, it's called Obfuscate, something that clicks all the ads when you visit a browser, right? But what else came to my mind was like, what did the Internet of the past sound like and what will the internet of the future sound like um as just a thought experiment and um i'm working a lot um or i'm sometimes using the metaphor um or ask people what can we learn from our public spaces for our online public spaces right because in our in our real-life public spaces, we have parks, we have libraries, but online, there's almost no public squares for exchange. It's all owned by companies. Yeah, yeah, yeah, you all know this. But then if we think of the city, if we would reflect how the internet works or project it onto a city, then it would be us driving through like streets that are full of ads like plastered with ads and so i was wondering what would um such a city sound like right where constantly like data is collected in in this in this constant noise so really cool project and um good luck for the for the phd thesis and the defense? I mean, I have a quick, might not be quick answer, but so a friend of mine who just left, I think he's about to start about ways to sonify the city because I mean, what you're describing is already happening with this IoT and all of these smart cities and all of these things. It's already kind of becoming a reality in a lot of spaces. I mean, I think, but already we had it with commerce and so on. And to me, I have a completely different opinion in regards to the square and whether the internet, I mean, yes, it is an old square, but it is still a square. I always feel like, especially Instagram and all of those places, it's just, there is too many people in this square. many people in this square because I mean I grew up in a very small town like 300 people and like this square was like the day my whole day was around the square so you sit down there and there is the old people and they have all their discussion and then they disagree and then they have their own fights and then it stops and then they get together and And to me, I see this also like kind of in the internet is like a little bit the same, but it's just like there is way too many people chiming in on every single issue. And like everybody has a comment or has something to say about something. I always feel this reminds me of a little bit of my hometown when I was sitting there and then there is like, oh yeah, this is disgusting, this is stupid, oh right wing stuff, blah blah blah, all this stuff. To me, it is a little bit similar but it is kind of owned and by companies who kind of make their kind of, they kind of make their living out of keeping it as toxic as possible because this is the way in which it really attracts and this is how you generate, how you keep people involved. If you keep it as toxic as possible, then people will always reply and then it is an endless cycle for it. So yes, and yeah yeah regarding the sound of the internet uh i don't know this is a very difficult question but thank you for sharing uh i want to ask you a question because um the project is very deep and basic, and it's also literally what happens in the world in a way. It's data visualization. Most times when we approach this kind of way of creating with data, the issue is because we have random data that we can only put at random and something happens. And the problem is the creative problem or issue is how to make all this random data, make something that feels something. In the way we construct our narratives, it need to make sense also in what we did before. When you hear a classic chamber orchestra mean something, do you think that you are finding a way to make this kind of data doing some interesting composition for you as the data, specifically this kind of data came from YouTube and it's doing something that you can only achieve through that data? So I have to say the sonification part for me, I made some performances with it, but I was never happy. It didn't really give me the... Maybe because I wasn't even mature enough with my musical knowledge in a way, but also I never felt it really, this data that came out, maybe it felt dirty or I don't know, there was something a little bit maybe also repulsive in it that I was doing this performance but I never was really attracted. And in fact, I never, I don't have a piece produced out of it. I don't have a piece produced out of it. And I tried to make a kind of noise breaker stuff with it, or like kind of like very in-your-face sounds, like very, I don't know how to describe it better. But the reason why it was sound for me, it was to, at the beginning, I really wanted not to add to the interface because I could have also had all of the system and then having some visual feedback. And I thought, I don't want the visual feedback. I want to have a sound feedback. thought I don't want the visual feedback. I want to have a sound feedback. And in fact, the sound feedback was also what gave me the possibility to discover more data than with the visual because there is a part of data that YouTube sends when you close the window. And so if I were to close the window, then I would also lose the visual feedback at the same time. But because it was through audio, then every time I, because this was what's happening, I was closing the windows and I was hearing a sound and I was asking myself, where is this sound coming from? And I couldn't understand. And it took me week, no, maybe not weeks, days to figure it out. And it was something that was also in the papers that I was reading about that wasn't even included in the white papers from YouTube about how they collect data but it was from kind of self reports from people that they were saying that they think that when people close the window on their video that that ranks them down and there is no word written on YouTube but it is true that when you close the window YouTube sends a message back to their server, putting the idea of the video that caused the window to close. So it was very interesting because then, I mean, I don't know how true it is, but there is like this data is collected when you close the window is an information, is very important information that they need to have and so I think the sound had, yeah I'm a bit ambivalent with the sound. I would like to produce something more interesting with it but I didn't, I don't know, I still very, I had a bit of difficulties with that. Maybe make a family of this you know this moment and this moment you have families you can work with to make something more you know composite or also training AI maybe to find the pattern with different inputs and to try to see the picture congrats thank you thank you Congrats. Thank you. Thank you.