Episode Transcript
[00:00:12] Speaker A: Hello and welcome to LibOwl, the podcast of the sabbagh library, and this is the first time we do a double feature. We are back with Mr. Papadakis.
[00:00:26] Speaker B: You didn't have enough last time?
[00:00:28] Speaker A: We didn't have, we never have enough. Come on, it's fun and you are a terrific guest to have.
[00:00:33] Speaker B: thank you. Thank you for having me for the second time.
[00:00:36] Speaker A: The first time we had a second time. So, welcome back, John. The thing is that we have many interests in common and it's hard to concentrate everything in just one episode. So I think we can agree with that. But if you allow me, I would like to start with a very specific focus for this second part, and it applies to topic that deeply interests me is one of your many hats, which is literacy and media literacy specifically. I know casually last week we had the Media Literacy Festival here at acs, which was the second edition, correct? Yes. So can you, in a nutshell, tell what it was about? It went very well. Terrific panels. We were very happy.
[00:01:25] Speaker B: We were fortunate to have a diverse group of people who came to talk mostly to the students. And the difference from last year was that last year was mostly to the general public. So we had a few panels in the theater. This year we concentrated mostly to the students. So we had panels for the middle school, panels for the academy students, especially 10th graders. So we were happy to have people that represented the media, represented the European Parliament, we people who represented the universities. So academics and a wide range of ideas were circulated. Also this year we had the opportunity to address the elementary school crowd. So because we are inaugurating the elementary school media studio this year at the library, at the library of the elementary school. And I saw some of the most innovative ways of using media, from kindergarteners to fifth grade doing activities in the library. I haven't yet gone to the details. I've seen the shots that we have, the recorded shots, some of them we could share in the near future. But this was an unexpected result. As far as I'm concerned, in general, the media literacy is not just about the media. And I say that because it was all about AI, it was all about jobs, it was all about academic opportunities and of course, how we as a society. During the pandemic last at least 3, 4 years, with the onslaught of generative AI technology came to see how life could be modified or could be translated through the use of that technology. And everybody was like, what am I doing? How are we going to use this in our professions? How are we going to use this in our schools? And as a school, I remember the first year, two years ago, I think we had the first AI summit here in the school.
We collaborated with different organizations and that started the discussion with us. Plus the idea that we are part of a wider team of schools that are trying to draft the blueprint of how to use AI in learning. So, yeah, this festival this year was a little bit of a shift from media production. We didn't have a media production competition that we had last year. Hopefully next year we're going to have something like that because we had schools that reached out from last year's competition. And you know, we said that festival is going to be a little bit different this year. But, you know, the videos are going to come out a little bit later, probably by the end of this week, so people can see, you know, the breadth and the richness of the discussions that took place.
[00:04:20] Speaker A: Nice. Well, and obviously.
[00:04:22] Speaker B: And that was a summary.
[00:04:23] Speaker A: And that was a summary. And obviously, as you said, there was quite a
high focus on artificial intelligence. Yeah.
[00:04:30] Speaker B: Because we see it as a medium. AI is a tool. Some others say it's a partner. Some others say, you know, but some.
[00:04:39] Speaker A: Say it's tensor, some assistant, enabler., yes.
[00:04:44] Speaker B: Enforcer. No, not enforcer.
[00:04:46] Speaker A: No, not an enforcer. That's a different approach to things. Well, think of the studio Ghibli filter. But we are going there because I wanted to discuss that with you.
[00:04:55] Speaker B: Oh, I have some ideas about that.
[00:04:56] Speaker A: Of course you do, so do I. I think anyone interested in artistic production and creativity needs to have some ideas on the topic. The thing I've been reflecting on for, for a few months now, that I feel like, at least for last year, this year specifically, if you are looking for a research grant, if you're looking for a research project, an endorsement, some collaboration with the university, an academic institution, etc. Basically. And again, in a nutshell, not 100%, but the general pattern that has been observed is you put AI somewhere in your research and you will get some attention, you will get some conference to go to, you will get some sponsor to finance your research. This year at least, it's everywhere. Out of three conferences I've been invited to speak at, two of them are specifically dedicated to artificial intelligence in librarianship. So not just artificial intelligence. I spoke at one in Istanbul, Constantinople. I've been invited to speak at another one in New York, and the largest European conference of librarianship in Switzerland in Lausanne in July.
[00:06:16] Speaker B: These are nice trips, Marco.
[00:06:18] Speaker A: They are nice trips.
[00:06:18] Speaker B: Have I told you that I like books?
[00:06:21] Speaker A: Yes, you do. Like books. You can volunteer at the library if you want. Yes, it's okay.
[00:06:25] Speaker B: No, I didn't mean that.
[00:06:26] Speaker A: I'm happy and also I'm going with my wife, so.
[00:06:32] Speaker B: Okay, I'm sorry.
[00:06:34] Speaker A: The thing is that two of those three conferences I've been invited to talk to, they are all about AI. They are all about AI. They have artificial intelligence in librarianship, Studies in library and information studies, right in the title. So in Constantinople, I spoke about how to use artificial intelligence to detect fake news and false information.
And in Switzerland been invited to speak about how using generative artificial intelligence and large language models can improve inclusivity and diversity in library practices and library policies. The one in New York is a different topic. It's about how to nurture patrons' engagement through organizing boxes. So it's organizing boxes, organizing box. Like how the cataloging system implemented in a library can affect patrons' engagement and participation to libraries activities. So I mean, have you observed something similar to what I said? Is it just my
impression?
[00:07:40] Speaker B: No. AI is everywhere, that's no question. Especially for your particular field. And I was wondering about it. I mean, you are in a field which is as analog as it can be. Cannot.
[00:07:54] Speaker A: On one hand.
[00:07:55] Speaker B: On one hand, I'm not talking about the form because you can have a digital book.
[00:08:00] Speaker A: Yeah, yeah.
[00:08:00] Speaker B: I'm talking about the function.
[00:08:02] Speaker A: Yeah.
[00:08:03] Speaker B: I mean, unless you go to the direction of asking AI to give you a 100 word, you know, summary or executive abstract or something, you really need to read the book from the beginning to the end to get at least what the author wants to, to give you. So my question would have been to you if I was taking an interview of you.
[00:08:23] Speaker A: Okay.
[00:08:24] Speaker B: How AI affects a school community where we have one of the biggest English language book libraries in Greece, and we have a pretty good variety of books. How would you use AI to make the library experience a little better? Not a little bit better, different. I would say.
[00:08:45] Speaker A: Okay, on one hand that would be counterintuitive because as you said, books are as analogic as they go. On the other hand, that is the aspect of reading books and talking about books. It's the. I can say the final aspect of leaving a library, managing a library, going to a library. The thing is, with generative AI in the past few years and with the Internet for the previous 30 years, the way we communicate regardless of the field has changed forever. It's impossible to go back. It's shaping the way we think, the way we talk, the topics we talk about, think of. Okay, let's say I want to Know what books can be trendy, and can be interesting for my students. Okay.
[00:09:35] Speaker B: For a specific target group, for a specific topic.
[00:09:38] Speaker A: Yes.
[00:09:39] Speaker B: Right.
[00:09:39] Speaker A: I'm not going on literary magazines anymore. I need to go on TikTok whether I like it or not. It's no question because.
[00:09:46] Speaker B: Oh yeah, you said that you have a TikTok channel.
[00:09:48] Speaker A: I do not.
[00:09:49] Speaker B: Oh, you don't?
[00:09:50] Speaker A: I have a TikTok account.
[00:09:52] Speaker B: How do you go on TikTok without a channel?
[00:09:53] Speaker A: I have a TikTok account.
[00:09:55] Speaker B: Yeah.
[00:09:55] Speaker A: Whose? A handler is user 14 digits that I don't remember. And all I do on TikTok is basically no is watching and commenting my wife's post and correcting people when they say something blatantly idiotic, stupid or inaccurate.
[00:10:13] Speaker B: Oh, you do that?
[00:10:14] Speaker A: I do that, yes. Because it's completely pointless, but they really enjoy doing it.
[00:10:18] Speaker B: Okay. So TikTok is one of the ways that you can go and find out what is trendy out.
[00:10:23] Speaker A: You have to because let's say you are a 16 year old kid, you don't read a literary magazine, you don't go on blogs anymore. When we read blogs, some of us wrote blogs. They were the coolest thing possible. Now they are completely outdated.
[00:10:38] Speaker B: It's called long reads. Now.
[00:10:41] Speaker A: Now a two minute read of the blog.
[00:10:43] Speaker B: Exactly what it is. It takes more than three minutes.
[00:10:46] Speaker A: Exactly. It takes more than three minutes. It's more than 60 seconds.
[00:10:50] Speaker B: Yeah, it's a long read after 60 seconds. Right.
[00:10:53] Speaker A: So exactly. And now if you want to know about this, you go on TikTok. You can see what the trends are about. Very simple. You can see whether a book is interesting, you can see the reactions of people reading it, etc. I can ask ChatGPT to help me doing that. I tap in. Okay, listen, I need to select 20 books to engage a specific target of students from this age
group to this age group to increase reading engagement and literacy level. Level. I can provide the average map score for a class. Give it to Chat GPT. This is where we are starting. I need to reach this.
[00:11:30] Speaker B: And we're just scratching the surface right now.
[00:11:32] Speaker A: And we are just scratching the surface.
[00:11:34] Speaker B: Because we had another meeting right before this recording and I wanted to share since. Since we didn't have enough time because you dragged me in the studio. I have to tell you now also.
[00:11:43] Speaker A: The meeting was a journey.
[00:11:45] Speaker B: But okay, yeah, yeah, but because people need to leave at some point.
But we didn't.
[00:11:49] Speaker A: Yeah.
[00:11:50] Speaker B: So one of the experiences that I had here in the studio that you know, in a sense included AI in The whole thing was a student who came and he wanted to, in a sense, do a rehearsal of his oral exam.
[00:12:07] Speaker A: Okay.
[00:12:08] Speaker B: Okay. And instead of just sitting in a classroom or the library or, you know, he came in here and I told him, you know what, why don't you record yourself when you do the oral rehearsal?
[00:12:21] Speaker A: Okay.
[00:12:22] Speaker B: And then at the end, what I suggested. I don't know if you did it.
[00:12:26] Speaker A: Okay.
[00:12:26] Speaker B: What I suggested was take your recording, figure out what the. The whole topic or the whole air you want to exude with this particular recording and ask ChatGPT to, in a sense, correct you.
[00:12:44] Speaker A: Okay. Yeah.
[00:12:45] Speaker B: Because I've seen it happen. It's not just another Google. No, it's not just tell me how to write a good essay or it's to make what you do different. And the more you do it, if you have an account. And I'm not talking about ChatGPT, I'm not trying. We don't have percentages on the subscription of the, of the software, but any kind of AI Chatbot at this point, there are some new ones. You know, you have to be really creative in how you use it if it's going to be meaningful.
[00:13:23] Speaker A: Yeah.
[00:13:25] Speaker B: So. And what I would suggest, if someone wants to go a little bit deeper, is not to research on topics, but research on different kinds of prompts.
[00:13:36] Speaker A: Yeah. Oh, prop engineering is new.
[00:13:38] Speaker B: So the prompt that you give, you know, someone who I know and works in the advertising world, they didn't have an image for a campaign. So instead of saying to the chatbot, you know, I need a sunset with some palm trees and someone swimming in the sea, he described what he wanted to do.
[00:14:00] Speaker A: Yeah.
[00:14:01] Speaker B: And asked for the prompt, not for the image.
[00:14:05] Speaker A: Smart.
[00:14:05] Speaker B: And the prompt that got back, produced exactly what he wanted to see.
[00:14:10] Speaker A: Yeah.
[00:14:11] Speaker B: So this is something that it takes you out of your, you know, default mode of, you know, what is a good something.
[00:14:18] Speaker A: Yeah.
[00:14:19] Speaker B: That we. You use so many years now with Google. Right.
[00:14:22] Speaker A: Yeah.
[00:14:23] Speaker B: So this is something that in general AI has to. To come out with and let us work in that mode, talk to the machine and not talk to another human.
[00:14:35] Speaker A: But you see that I think that touches the core of how AI works and how we are going to use it in the next decades. Because, okay, for the general public, not the people that are involved in the development of OpenAI or competing companies, Deep Seq, Claude Groq, whatever they are for the general public, we are at the very beginning of a new information trend, information era. We'll see how it goes. But we are now where we were, let's say 30 years ago with the Internet. With the Internet, 150 years ago with electricity. Everything is possible at that point. Yes, yes, we are at that point. At this moment, everything is still possible. We are finding new applications for this kind of technology almost every day, every week for sure. There are new improvements, new updates. Think of Google in 1998, 1999, that you only had Google as a search engine, not even a portal. There was no Google.
[00:15:35] Speaker B: Now you have a whole universe.
[00:15:36] Speaker A: Now it's on Google. Now it's impossible to run the Internet without Google.
[00:15:41] Speaker B: But also as. As an application hub.
[00:15:44] Speaker A: Yes. No, no. It. It has everything. Literally really has everything. Any possible application that uses the Internet, somehow Google has something on it. It's impossible to use the Internet without Google. Even if your servers.
[00:15:59] Speaker B: Well, there are ways. I mean, there are ways. We're not end anything at this point.
[00:16:03] Speaker A: No, we are not. But the general public, general infrastructure, etc. Etc. You can't ignore it, period. It's like electricity. Can you live without electricity? Of course you can. Can you meaningfully live the way we do without electricity? No. Same with cars, the same with radio, etc. We are at that point that it is the very beginning of this kind of technology and that's becoming of daily use. And I believe most of us, not everybody, but most of the people who use Gen AI are at the stages that they are trying to figure out how to use it to. For what to use it.
[00:16:44] Speaker B: What's the purpose?
[00:16:45] Speaker A: What's the purpose? Can I do this with GPT for one? Because it's commonly used. Pretty sure you're aware we mentioned it a few minutes ago.
There is a new capacity, a new feature on ChatGPT, on Dall? E, not ChatGPT per se, that you
give them. You give it a photo and you ask to make it a rendering studio, Ghibli style. And they will make it in the drawings of Miyazaki, etc. Just a few days ago, it turns out that you can do the same for an action figure. So you can supply an image of yourself.
[00:17:24] Speaker B: Yeah, which is a fun way.
[00:17:27] Speaker A: It is a very fun way.
[00:17:28] Speaker B: But what we're missing at this point is the application of it.
[00:17:31] Speaker A: Oh, very well. You see.
[00:17:33] Speaker B: What's the application?
[00:17:33] Speaker A: I was thinking about that. Let's say you want to have. You are looking for an idea for an online business. Okay. You want to have a shop on Shopify or on Etsy or whatever it is. And you're not selling a physical product, you're selling a Digital product, I think. I don't know the percentage, but a good chunk of products on Etsy are actually downloadable digital. Digital downloadables. Think of your whole product, your whole company, your whole account is about selling models, mock ups for action figures. It's.
[00:18:09] Speaker B: Which, yeah, it's pretty, you know, very specific what you're.
[00:18:13] Speaker A: But you see, yeah, there is a.
[00:18:15] Speaker B: Business, there is an application, of course.
[00:18:17] Speaker A: There is an application, etc. Etc. And so you see, it's now for most of us, it's fun, it's cute, let's have fun with it.
[00:18:25] Speaker B: But you can make money out of it.
[00:18:26] Speaker A: But you can make money of it. Think of what you can do with deep fakes, for example, and the implications that deepfakes have.
[00:18:34] Speaker B: That's a very big discussion, though.
[00:18:35] Speaker A: That's a point. But think of the implications of the use of deep lakes have on misinformation. Because we are going way past the idea of selecting an image, taking it out of context and presenting it for different purposes.
[00:18:54] Speaker B: We went to a big tangent on this one. At this point, you can manipulate the masses like no other era before.
[00:19:02] Speaker A: You see, that's the thing. It's at the very core of the nature of this technology. When I was saying that anyone with interest in creativity and art should have an opinion about, for example, the Studio Ghibli controversy recently.
[00:19:17] Speaker B: Do you think it's a controversy?
[00:19:19] Speaker A: It is, actually.
[00:19:20] Speaker B: Why?
[00:19:20] Speaker A: Well, because, okay, everyone knows that Studio Ghibli movies are beautiful. They are masterpieces.
[00:19:27] Speaker B: You know, before I saw this trend, had no idea about Miyazaki.
[00:19:32] Speaker A: And we are still talking. So that means that tells you how much I respect your presence here. Okay, but let's. Let's forget about it.
[00:19:42] Speaker B: You know, to tell you the truth, I'm more of a Muppets guy.
I don't know, maybe we can put this.
[00:19:49] Speaker A: Yeah, we can put it in the extras for the cover
[00:19:53] Speaker B: Yeah, I'll send it to you.
[00:19:54] Speaker A: Yeah, thanks. And the thing is that Miyazaki is a genius of animation.
[00:20:00] Speaker B: We need to do part three on Miyazaki. I feel.
[00:20:04] Speaker A: No, I'm not going there because I can talk for… I'm a kid of the 1980s. I grow up with anime every single day. So obviously Japanese animation has a special spot in. In every kid of my generation's heart. But what I want to say is that Miyazaki, two years ago, publicly, well, not public, he released an interview that was released publicly, spoke about how despicable it is to use generative, artificial words.
[00:20:34] Speaker B: He doesn't like that trend?
[00:20:35] Speaker A: He. No, no, he, he. I'm not sure how aware of it is. Pretty sure he is aware. I don't know how much is involved in engaging. If you listen to his interview, he has nothing but complete disgust despite anything related to AI applied to artistic creation.
[00:20:54] Speaker B: But if I may make a comment on this one, we had the discussion with Costantino Rosselli over the weekend, who has been here a couple of times in the school. And he was talking about how artificial intelligence is not such an evil thing, especially for creativity, I believe. So one thing that he said, and I think it stuck with me is that would be a bunch of copies of the Mona Lisa that I'm going to put on my wall that were created by AI on different kinds of, you.
[00:21:27] Speaker A: Know, media, media and so on, would.
[00:21:30] Speaker B: That reduces the value of the original? So by seeing it like this. Yeah, first of all, you make something like that more accessible.
[00:21:40] Speaker A: I agree.
[00:21:40] Speaker B: Now if you are an art expert, you're definitely going to see that this is a copy, right?
[00:21:47] Speaker A: No.
[00:21:48] Speaker B: What do you mean?
[00:21:49] Speaker A: No? I'm sorry about that. Because that was discussed a few years ago already.
[00:21:55] Speaker B: You know this argument.
[00:21:57] Speaker A: Yeah, no, I know this argument. Yeah. And it's a valid argument. I actually agree with the general idea. Now, perfect copies, etc don't depreciate.
[00:22:07] Speaker B: Not only a copy, I'm not talking about a copy. Create something a little bit different, but.
[00:22:12] Speaker A: Based in the style.
[00:22:13] Speaker B: In the style of something.
[00:22:15] Speaker A: I remember, I think it was 2018, 2017, something like that. And an early geni model was trained on anything we know about Rembrandt. So anything that has been published about Rembrandt, the complete catalog of his work, his influences, any possible analysis of his work. And it was tasked to create an original painting by Rembrandt.
[00:22:43] Speaker B: Okay.
[00:22:43] Speaker A: And it did. They printed it and then they gave it to several art experts and to.
[00:22:51] Speaker B: Judge if it's an original.
[00:22:52] Speaker A: No, no, no. They said we found this, so can you give us an analysis? Kenya. And more often than not they actually identified as an authentic original. The only way to determine that it wasn't was analyzing the actual brain and to see that it couldn't be print. It couldn't.
[00:23:11] Speaker B: It was a laser printer.
[00:23:12] Speaker A: Well, but you see, that's the thing. Even if the same techniques, if you. We can date when the ink was made, etc. So even if it looks the same.
[00:23:24] Speaker B: Anyway, anything that has to do with art is a big discussion.
[00:23:27] Speaker A: So it's art and everything.
[00:23:29] Speaker B: So.
[00:23:29] Speaker A: But I agree with the general sentiment that, no, it won't make the original. The original less valuable in both economic and artistic terms.
[00:23:39] Speaker B: Right.
[00:23:39] Speaker A: That one I don't believe. But it's something that was analyzed already years ago with essays like the Art in the Age of Massification of Representation. That any piece of art can be easily replicated in a matter of minutes or hours back then and it will look exactly the same. It's the experience of having the original in a certain context, in a certain place that actually one of the factors that makes the difference. The issue that was with the Studio Gilbert controversy, that's why I find it controversial, is because the person who's responsible for the
intellectual development and artistic development of that specific style, openly stated, he despises the use of artificial intelligence for art. And it has been argued that he made his will, his ideas pretty clear on the topic. And you should respect the ideas of an artist about his own art. So using that filter, regardless of the artist's opinion, is disrespectful. And it's. And that's the key part. Ethically despicable because we know that he doesn't want to use it. The controversy is about the ethical use.
[00:24:55] Speaker B: The ethical use is always going to be. I mean, the ethical issue. But don't forget some kinds of art, in a sense, are based on insults.
[00:25:02] Speaker A: Oh, yes.
[00:25:03] Speaker B: So if someone says, I'm going to be insulted if I see this, you better believe there is an artist out there that's going to do it.
[00:25:09] Speaker A: Yeah, but you see, that's the thing. I, I don't, I don't think for once that art should be respectful all the time. like satire.
[00:25:17] Speaker B: I mean, satire could be respectful in any shape or form.
[00:25:21] Speaker A: Excellent. You know, it was born as disrespectful as upsetting. So I'm perfectly fine with art being disrespectful and upsetting. It's perfectly fine. It's art.
[00:25:30] Speaker B: So you're gonna give me our pictures for tonight and I'm gonna send you the version.
[00:25:35] Speaker A: Yes, my PTFA version for our producer.
[00:25:40] Speaker B: This is for the, for the artist over there who's going to do the.
[00:25:43] Speaker A: Yeah, but you see, when, when I say that we are at that embryonal stage of the field and this is going to touch your expertise specifically think of what GDPR policies were 30 years ago, 40 years ago, and how they have changed, how much they have been impacted by the use of the Internet. We have policies now that 40 years ago no one could have thought. Thought, oh, 30 years ago. 20 years ago we didn't have. And the ethical use of generative AI is going to have similar protocols, similar applications that we had for GDPR policies. We will need to find ways to implement it in a certain way to make sure that it's ethical, it's conscious, it's meaningful in a non harmful way. You are the GDPR expert.
[00:26:33] Speaker B: So I have so many things to tell you. I'm just going to keep it very short. The way that I think about it is it took us thousands of years as a species to create a legal framework and only about 60 years, 70 years to have a United Nations Charter for Human Rights. Imagine having this new entity that is coming in and AI, it's definitely going to be an entity among ourselves. It may be another biological entity, but you even not, you don't know.
[00:27:04] Speaker A: No.
[00:27:05] Speaker B: So yeah, the gdpr and it's a set of regulations, of course, as you know, that govern how large numbers of, of data, of personal information are to be processed by whom and how long and how far. And you know, yeah. In what ways AI is going to change the whole game because you don't know at some point who is this person who is using my picture that has been generated by AI with walking on the moon. Okay. So if I can, you know, predict it's going to take at least four or five years for agencies like the European Union, who has the GDPR
guidelines, but also other countries. Recently I heard about, you know, some very, very harsh laws governing some countries in the Gulf about privacy rights and stuff. So if you think that regulation usually follows function. We're trying to ju the gun in the European Union with a new AI framework that is being debated. It's not yet a regulation.
[00:28:16] Speaker A: No, it's not. There are some documents, but there are not documents.
[00:28:20] Speaker B: Most of them are like white papers that are being circulated.
So as far as GDPR is concerned, we have to be super, super careful as individuals, as organizations, as schools, people who are dealing with sensitive information like children and medical and insurances and all these things. Because AI is here to. We have to think outside the box. GDPR unfortunately is a box. I've been reading about it. Even though you know, this is not something that you're going to read in the newspaper every day, but every so often there are some articles about it that are really interesting. And AI, to tell you the truth, helps me at least to digest some of these things that at some point it's going to come around and it's going to be another issue to deal with privacy issues and AI, obviously.
[00:29:12] Speaker A: Yes.
[00:29:12] Speaker B: So it's a very, very topic. The only thing I have to say is we have to be critically thinking of what we share.
[00:29:20] Speaker A: Yes.
[00:29:21] Speaker B: What we share on the Internet, no one knows where it's being kept, no one knows for how long, and no one knows for what use. And if you start thinking about the dark web, then we go to a different universe. We're going to a different universe. It's a different dimension. But that's where the big money is
[00:29:40] Speaker A: Yeah, obviously. Yes.
[00:29:41] Speaker B: So everything that has to do with fishing, everything that has to do with, you know, cyber safety and, you know, all these things.
[00:29:48] Speaker A: Yeah.
[00:29:48] Speaker B: There is a dark web.
[00:29:51] Speaker A: Different discussion.
[00:29:53] Speaker B: Think before you go online, what you share.
[00:29:56] Speaker A: Yeah.
[00:29:57] Speaker B: Even when you just go there, to see posts or to see some videos, the system knows how long you stay on a photo, how long you stay on a picture. Forget it. If you like, forget about that. But it's something that, especially students from the age of 16 that they are supposedly okay to use. AI. Okay, yeah. AI is everywhere on social media. AI is everywhere on the Internet. The algorithm is out there. So you cannot hide, but you can use it wisely.
[00:30:33] Speaker A: Yeah.
[00:30:34] Speaker B: So that is my ending point on this one.
[00:30:37] Speaker A: AI again, agreeing with you. Especially again, if we start from the beginning of this, of implementing this technology massively in a spread way as much as it's doing now, if we do that since the very beginning, then we can probably manage to keep using it in a positive way.
[00:30:57] Speaker B: It's the beginning of the trip.
[00:30:59] Speaker A: Yeah.
[00:31:00] Speaker B: Relatively beginning. Because AI has been around for many, many years, but now, general power to everybody.
[00:31:06] Speaker A: Yes, that's a difference.
[00:31:07] Speaker B: So the way that it's being embedded in our lives, it's only going to get more and more immersive, more and more indistinguishable, more and more pervasive, because it's more pervasive and more personal.
[00:31:18] Speaker A: Yeah.
[00:31:19] Speaker B: So anybody or everybody who thinks of this is a very cool way of using technology. I agree. I totally agree. Like, the car was a very cool way of using technology. But if you run too fast and someone jumps ahead of you, you know what's going to happen. So the same thing, and maybe worse, because AI plays with the entity, plays with the mind, plays with, you know, all the things that make us human.
[00:31:45] Speaker A: I think, yes, we're going to Philip Kindred Dick's literature here with Do Androids Dream of Electric Ship? The Simulacra, all that thing. The Matrix applied to Odyssey 2001. Odyssey 2001. So, yeah, we will talk about that. Okay. Mr. Papadakis, thank you for having a great time.
[00:32:05] Speaker B: Thank you for having me for a second time.
[00:32:07] Speaker A: Thank you.
[00:32:08] Speaker B: Time.
[00:32:08] Speaker A: Thank you for being here to our listeners. Thank you for having been with us. This was the LibOwl and we will have you next time, many thanks.
