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RUNEUAI Session 1-1
Bernie Goldbach
00:00You folks mind this being recorded? There's a note taker called otter that's running in the background, and I know some people won't be able to attend normally, so it's trying to save copy of this stuff. So if just want to make sure people don't mind it being recorded,
Bernie Goldbach
00:25Maria, since you're on the call, do you know how to make sure the lights don't shut off? I in this buzz quarter, they just turn off better.
Natasha Doshi
00:36No, they're a sensor Bernie, and there's
Bernie Goldbach
00:39short of taking out the light bulbs. Gotta move around, I guess so. Yeah, it's going to go dark
Natasha Doshi
00:47on me. Just do a few jumping jacks every
Almudena
00:49half hour. You'll get the light. Yeah.
Filipe
00:53Hi. Hello, everyone. Hey, Philippe,
Almudena
00:57how are you? I was asking. I was
Bernie Goldbach
00:59hoping people didn't mind being recorded, because there are some people that won't, maybe may need to leave early, and I want to make sure that there's a way of rewinding it and looking at what we're doing.
Filipe
01:12So yeah, and luckily, AI will do a summary for us.
Bernie Goldbach
01:18Yes. Filipe AI, yeah, I'm going to Filipe, there's at least two people that aren't going to be able to do the program. I sent you the details. So we'll end up with probably only 16, maybe maybe only 14, and way it normally dilutes, but I'm focused. I'm really happy you're all on this call. As we go through this particular first session, we'll get feedback from you in terms of starting time, because if someone has to be on this call until 11 o'clock at night, and you have to go to class by 39 o'clock in the morning. I can make an arrangement to start earlier and then repeat that that first hour with with folks that join the normal time, but I am aware that I wanted to make sure that people get a chance to you. To enjoy the session without feeling that they're totally stressed for time. Okay, I'm going to I'm going to start the recording of the slides I'm about to show. And in the background, there's a an author that, oh well, it misbehaves a lot. It shows up at stuff I do without telling me that it's doing it. So I have to fix that. But right now, I also know that it can provide people a really clever way of reviewing what's going on by grabbing content as it's as it comes on screen. So what I want to do is I'm going to bounce around here and show you a slide deck, which you will get to see and to review on your own as we go through the program. The program is a RUNEU program. It's called Creating practical workflows with AI. When Filipe and I first thought about this, we we know how, we knew how, some how important it was a verb at the start. So hence creating practical workflows. And there's actually a subtitle using data to tell a story, but we'll add that in a few more sessions, so that you can actually see the bridge between what Filipe expertise is and what my interest in, AI, how they how they intersect in this very, very important space. It's a RUNEU program, and it's actually derived from a lot of things that we both have, that I have in Ireland, and Filipe has in in Portugal with traditional education as it affects the way 
we think and how we do practical things better. So you can find us online, two different email addresses there. I'm I'm using one that's called iteration.ai because that's the place I'm sitting in where Maria O'Brien works and Eleanor, you're familiar with it as well. So I want to go through this a little bit of background, and I'll pause at different times where people can just reorient me or slow me down. But a little bit, little bit of background, we're going to have a look at what I'm doing, because it's important to know that the things that I'm doing have a basis of fact, and it has a basis in terms of of where, where I am and what I want to what I want to do. Now I'm trying to figure out how to get back, get back to my PowerPoint deck. So let me just stop a minute. Bring it back in. I so most of the things that I do, I start with an outline. So it's so embarrassing to actually show you like I would have started with this outline, so practical, a bunch of words that I have to make into a practical workflow, and then I use a series of tools to make the words pretty, and then use the Microsoft tool called PowerPoint to make it in the form you see now, so I'm going to show you a really quick thing about how Microsoft could actually do my work for me. And then I'm going to show you how ChatGPT could also be really helpful. In that regard, we'll have a within about, within about five minutes, I'm going to pause and ask people, hey, what do you guys really want to do? And then I need to give you a framework for where we are, because some people might consider AI as just a passing fancy, you know, it it's like, hey, we discovered steam. Now let's make steam engines. And you know, that lasted for, what, five decades. And then all of a sudden, you know, you could power something with petrol and diesel, and not just steam, not just coal. So digital transformation is the underpinning of all this, and then inside of that process of transforming how you do work is a framework that I use with people and processes and protocols that I want to explain to you. We'll show you how run a quick pro demo to show how copilot can browse for intelligent information, and how I use another service called Claude to write for a social network called blue sky, and how fast it is and how clever it can be, and how much of a time saving it can be. You're going to use, not ChatGPT for the avatar selfie, but you'll use the Edge browser and the image creator inside of Microsoft to do the avatar selfie, and then you'll do you enhance it by using Gemini service in Google called Nano banana, and then we'll recap where we are. So I want to make sure this also happens somehow, and it's not baked into the call here, into the left, into the deck, but I make sure that we you can share information in a free space called Flickr in a group called the Digital Transformation group. A half a dozen people on the call here have already joined that group. Simply have to ask, and I control that, and I let you into it. I want to make sure you're able to find a place called Google Drive, and inside that place, find a folder called RUNEU, and inside of that find another folder called images, and I want you to be able to upload what you do today into that images folder, just to prove that you're able to find it, and we can share information into that space and then in the future, unless, unless we have a serious change of direction, Tuesday evenings is when we're going to meet the rooms, 386174, double, 369, and I'll send you calendar invitations, one more simple one, and then a bunch of other ones. To inundate your months of October and November. You need to make sure you know how to reach me and how to reach Filipe. And I'll show you those places to learn. To make this whole program worthwhile, there are some outcomes. So when I sit down as a lecturer with technological university of the Shannon trying to make sure people understand, well, here's where we're going to go. So I want to make sure you can see you can understand how to possibly implement AI into a personal workflow and into professional workflow, which might be just getting through university curriculum or how to manage projects that you have on a university campus. Wanna make sure that you learn that you're doing this best through a series of improving prompts that can generate text and can generate images. I want you to know that there are very strong use cases and big tools that you can use that can enhance your personal productivity, and that's important, because some of these tools I'm going to show to you, they're actually not, you don't need to use AI to do the tools. They're just they're just ways of using a clever technology that you might have already in another piece of software. There are human factors concerning all this, and there are issues that the EU has about making sure that people are in the middle of the processes you do. Because if you're just banging pixels on a screen, or you're just burning energy in a data center, you're not actually able to,
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we think and how we do practical things better. So you can find us online, two different email addresses there. I'm I'm using one that's called iteration.ai because that's the place I'm sitting in where Maria O'Brien works and Eleanor, you're familiar with it as well. So I want to go through this a little bit of background, and I'll pause at different times where people can just reorient me or slow me down. But a little bit, little bit of background, we're going to have a look at what I'm doing, because it's important to know that the things that I'm doing have a basis of fact, and it has a basis in terms of of where, where I am and what I want to what I want to do. Now I'm trying to figure out how to get back, get back to my PowerPoint deck. So let me just stop a minute. Bring it back in. I so most of the things that I do, I start with an outline. So it's so embarrassing to actually show you like I would have started with this outline, so practical, a bunch of words that I have to make into a practical workflow, and then I use a series of tools to make the words pretty, and then use the Microsoft tool called PowerPoint to make it in the form you see now, so I'm going to show you a really quick thing about how Microsoft could actually do my work for me. And then I'm going to show you how ChatGPT could also be really helpful. In that regard, we'll have a within about, within about five minutes, I'm going to pause and ask people, hey, what do you guys really want to do? And then I need to give you a framework for where we are, because some people might consider AI as just a passing fancy, you know, it it's like, hey, we discovered steam. Now let's make steam engines. And you know, that lasted for, what, five decades. And then all of a sudden, you know, you could power something with petrol and diesel, and not just steam, not just coal. So digital transformation is the underpinning of all this, and then inside of that process of transforming how you do work is a framework that I use with people and processes and protocols that I want to explain to you. We'll show you how run a quick pro demo to show how copilot can browse for intelligent information, and how I use another service called Claude to write for a social network called blue sky, and how fast it is and how clever it can be, and how much of a time saving it can be. You're going to use, not ChatGPT for the avatar selfie, but you'll use the Edge browser and the image creator inside of Microsoft to do the avatar selfie, and then you'll do you enhance it by using Gemini service in Google called Nano banana, and then we'll recap where we are. So I want to make sure this also happens somehow, and it's not baked into the call here, into the left, into the deck, but I make sure that we you can share information in a free space called Flickr in a group called the Digital Transformation group. A half a dozen people on the call here have already joined that group. Simply have to ask, and I control that, and I let you into it. I want to make sure you're able to find a place called Google Drive, and inside that place, find a folder called RUNEU, and inside of that find another folder called images, and I want you to be able to upload what you do today into that images folder, just to prove that you're able to find it, and we can share information into that space and then in the future, unless, unless we have a serious change of direction, Tuesday evenings is when we're going to meet the rooms, 386174, double, 369, and I'll send you calendar invitations, one more simple one, and then a bunch of other ones. To inundate your months of October and November. You need to make sure you know how to reach me and how to reach Filipe. And I'll show you those places to learn. To make this whole program worthwhile, there are some outcomes. So when I sit down as a lecturer with technological university of the Shannon trying to make sure people understand, well, here's where we're going to go. So I want to make sure you can see you can understand how to possibly implement AI into a personal workflow and into professional workflow, which might be just getting through university curriculum or how to manage projects that you have on a university campus. Wanna make sure that you learn that you're doing this best through a series of improving prompts that can generate text and can generate images. I want you to know that there are very strong use cases and big tools that you can use that can enhance your personal productivity, and that's important, because some of these tools I'm going to show to you, they're actually not, you don't need to use AI to do the tools. They're just they're just ways of using a clever technology that you might have already in another piece of software. There are human factors concerning all this, and there are issues that the EU has about making sure that people are in the middle of the processes you do. Because if you're just banging pixels on a screen, or you're just burning energy in a data center, you're not actually able to, Bernie Goldbach
09:45in a smart way, create practical workflows. You're just burning energy and maybe running in circles. And finally, there are some fundamental requirements for you to know and for you to change if you're going to improve your personal digital effectiveness. Not just stuff, I'll show you, but Filipe will show you as well. Quick background tips here. I'm hoping the next few sessions, you know that this is more than just generating content that you understand. There are ways you can do this, prompts and you can actually interact with AI in a way that it's sustainable, that it's ethical, because it's easy to train you really fast on how to generate stuff, but then when you got to put the handbrake on and say, slow down a minute, think about what you're doing. That's hard. So there's sustainability factor. There's an ethics factor in here, and overarching, all that is human in the middle. These are process based outcomes I'm going to show you so there are internal ways of getting a job done, and those internal ways, once they pass your sanity check, become foundation elements of you, digitally transforming what you do. And then sometimes you might be using an AI with part of those foundation elements to it to achieve high levels of personal productivity and have an ethical requirement to make sure you know how this fits in terms of what the EU saying AI should be doing, and how this fits in terms of how the Chinese are doing it, how the Americans are doing it, how the Saudis are doing it. We're in the crosshairs of a very important battle right now of how far down one path we should go and just we need to know, we need to know that those 
things are there. Okay, I'm going to ask just a few questions throughout the various sessions. I use this program called Slido, so if you're running on a web browser, you can just type in slido.com and you're looking for that room 11911, double NINE, and it's, that's the room number I'll use the next half dozen times. We're together. If you're watching this and you have a mobile phone just in your QR code, what's in the screen right now? You can go right to that room and you can, you can answer, you'll be able to answer questions that I give, okay, some background. So they put up with me back in 2023 when I was on the campus in LA Maria and, you know, watching him explain critical thinking and processes. And then I learned over the years that both he and I have been working with traditional data processing. We understand the psychology of work. We have dabbled with machine learning before it became a thing associated with AI, because we've actually been using automated processes since at least 2013 probably longer than that. But being able to depend upon a piece of technology, a simple piece of software, to do something, because we can tell it how to do the thing, how to do it fast, without us even being there, that's that's something that's rudimentary, and you don't need AI to do it. You just use, like, battery power of your laptop to do it, if you have everything set up, right. So here's what I want to know. I want to take a break here because and ask everyone these questions. Because I also need some some water. I want a small group discussion here. So I am curious to know, kind of digital tools are you using? Because that'll tell me. You know, how sophisticated you folks are. I want to know, you know, what kind of burning question Do you have? You can just have to be around digital transformation. It could be around, hey, I absolutely positively do need to know how to do this thing with AI. And that's the third thing. Are you concerned about a specific thing about using AI or are you do you want to drill down quickly and get an answer? So I gave you surveys before to say, well, what is this? And you know, what kind of what kind of program do you want to do, or what do you want to get out of the program? And we gathered all that. But now, you know, here together, I want to try to cover some of those things. So on the first question, like, if somebody wants to answer to put your hand up and talk, or you can, I'm sure we won't talk over each other, because there's only about 12 of us in the room. Like, what kind of tools do you typically use right now? Vanessa, can you start it off? Like, what kind of tool would you digital tool would you use? Could say, like, oh, Excel, of course. Because you're a business student,
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things are there. Okay, I'm going to ask just a few questions throughout the various sessions. I use this program called Slido, so if you're running on a web browser, you can just type in slido.com and you're looking for that room 11911, double NINE, and it's, that's the room number I'll use the next half dozen times. We're together. If you're watching this and you have a mobile phone just in your QR code, what's in the screen right now? You can go right to that room and you can, you can answer, you'll be able to answer questions that I give, okay, some background. So they put up with me back in 2023 when I was on the campus in LA Maria and, you know, watching him explain critical thinking and processes. And then I learned over the years that both he and I have been working with traditional data processing. We understand the psychology of work. We have dabbled with machine learning before it became a thing associated with AI, because we've actually been using automated processes since at least 2013 probably longer than that. But being able to depend upon a piece of technology, a simple piece of software, to do something, because we can tell it how to do the thing, how to do it fast, without us even being there, that's that's something that's rudimentary, and you don't need AI to do it. You just use, like, battery power of your laptop to do it, if you have everything set up, right. So here's what I want to know. I want to take a break here because and ask everyone these questions. Because I also need some some water. I want a small group discussion here. So I am curious to know, kind of digital tools are you using? Because that'll tell me. You know, how sophisticated you folks are. I want to know, you know, what kind of burning question Do you have? You can just have to be around digital transformation. It could be around, hey, I absolutely positively do need to know how to do this thing with AI. And that's the third thing. Are you concerned about a specific thing about using AI or are you do you want to drill down quickly and get an answer? So I gave you surveys before to say, well, what is this? And you know, what kind of what kind of program do you want to do, or what do you want to get out of the program? And we gathered all that. But now, you know, here together, I want to try to cover some of those things. So on the first question, like, if somebody wants to answer to put your hand up and talk, or you can, I'm sure we won't talk over each other, because there's only about 12 of us in the room. Like, what kind of tools do you typically use right now? Vanessa, can you start it off? Like, what kind of tool would you digital tool would you use? Could say, like, oh, Excel, of course. Because you're a business student, Vanessa Okoli
14:01tools, word word document would definitely be one.
Bernie Goldbach
14:05So word itself,
Vanessa Okoli
14:07Word, Word document, PowerPoint, Excel.
Bernie Goldbach
14:12Oh, okay, and Excel, okay, I'm writing all this down. Stephanie, can you give me an answer? Is there a common program or a common tool that is a go to program you have to use every day, or that you're trying to master better.
Stephanie
14:30We use every day, also word, or Microsoft Teams or something to work together, also excellent, or Power BI, and I will do it better in Power BI. And another thing we use every day is, I forgot the word AI, thinking about it.
Bernie Goldbach
14:57Okay, that's good. Let me How about you. So all this stuff. Should mention Word Excel, teams, Power BI, are you in any other Are you doing anything else differently? In your case, Leti,
Letizia Cenni
15:11in my case, I use Trello also. Trello very good for project management. As I'm studying mastering, content administrator, the ones we've already talked about. And for the AI part, use what all of them, ChatGPT. I use Cloud sometimes I like, from a ton of voice perspective, I like how it helps me.
Bernie Goldbach
15:38Okay, do you use Claude and all for code? Do you ask us? Do you ask Claude to look at stuff you've done already and rewrite it?
Letizia Cenni
15:47Yes, polish them or Yeah, adapt them to some kind of specific tone of voice I need.
Bernie Goldbach
15:54Do you use Claude to translate?
Letizia Cenni
15:58No, I've never translated anything.
Bernie Goldbach
16:01Beautiful. It's beautiful. You could win. You could earn more money. I'm working with a bunch of Dutch lecturers, and they've written three books, and book has minimum of 20,000 words. And I had, I scanned the books in 1.5 seconds for two pages each. So very quick scan, and Claude took approximately eight to 12 seconds per page to translate to English. Nice for for no fee. I mean, for free. And I'm thinking, Oh my God. Now I'm sure they're going to start charging. So I'm saying now if you if you know how Claude thinks, then you ought to see whether, on the subscription you have, whether it'll let you do any translations. So you could take the notes from this session. It'll come in English, probably, and you can just ask otter translate over to whatever language you want. Or you can ask Claude to do it. It's really, it's a it stunned me looking. Claude did that. Then I brought it into, I brought the books into Gemini, and asked Gemini for colors, because if they're mentioning a color, it was about an important point. And then, then, then went from the from the colors to the continuity. So I actually took apart them the whiteboard they had the three authors I'm working with. I took apart the original outline they had, and I showed them on on my notes, and said, Here's what I really think your idea came from. And they were stunned. Now it's that's totally lucky that I got that result. But I went from the translation just for the word for colors, because I knew they thought in colors and they thought in visual metaphors. So if you've clawed your friend, push it, you know that's that's really good. Thank you. And Maria, I know you use all these other things too. But is there a project management I'd
Natasha Doshi
17:54use Trello. Trello for project management, I suppose I like the others, I'd use ChatGPT. I would have tried deep seek and perplexity and
Vanessa Okoli
18:05come back to ChatGPT the whole time.
Bernie Goldbach
18:08Yeah, that's good, once you get used to the routine. Good. David, how about you? Would you add anything do this? Anything new to this discussion?
Almudena
18:15Tools I Use, napkin,
Bernie Goldbach
18:19which kind of which napkin, napkin.ai napkin dot. App, yeah, for creating images, okay, flow charts or just images. Most time, images, just images. Have you used it for like diagrams,
Almudena
18:37one or twice? Once or twice?
Bernie Goldbach
18:39Okay, I like it for diagrams, especially for flow charts. Very clever. Yeah. And is there any other tool, any other AI you would use for, you know, for any other purposes? So I mean, like, my case, I normally cross check the results of one to another. Are you? Are you doing anything like that?
Sara
19:00I usually use ChatGPT for, like, everything, okay,
Bernie Goldbach
19:03for everything, all right, okay, okay, I don't know everyone's name, so administrator, I don't know who that is, that Silvia, or who, who's who's coming on as administrator, is that? Do you know Filipe?
Filipe
19:20I'm assuming that it's Spanish. I was Spanish, but I'm not, I'm not sure. So is it elmudena Or
Bernie Goldbach
19:27okay, we'll ask you what's what same thing are there? Is there a two Almudena that you'd add to this, to this mix?
Almudena
19:34Hello, I'm my English is not good, okay? I'm used ChatGPT Sometimes, but not at work for personal use.
Bernie Goldbach
19:51Okay,
Almudena
19:52at work, I use Microsoft Access Excel, work.
Bernie Goldbach
20:00Okay, good. You enjoy this program because we are going to break down some of the tasks with Excel and see if there's a faster way of getting a result using some AI in Excel. Eleanor, would you add anything to the mix of this,
Eleanor Moloney
20:17of all this, everything that everyone said so far I think, um, Miro monday.com, Canva and Acrobat, okay, I, I used Jenny AI quite a bit because I wasn't getting mentally to work nicely for me.
Bernie Goldbach
20:34Okay, so what say it again, you're using not mentally. But what?
Eleanor Moloney
20:38Uh, Jenny. Ai, Jenny. Okay, yeah, but I less. So now, to be honest with you, use it in about four or five months. So yeah, it's lost its appeal. Do you
Bernie Goldbach
20:49have a paid version of Canva? I do. So have you used anything with Canva?
Eleanor Moloney
20:54AI, I do. Yeah, it's not so good. Okay, yeah, it never gets me to where I want to go. I think napkin is probably better,
Maddy
21:06yeah,
Eleanor Moloney
21:08but, yeah. I'll give them all a shot and maybe just see what works best. Okay, I'll tell you what's changes now, instead of trying to find out how to do something, I tried to find the AI that knows how to do something. That's the only difference in my searches.
Bernie Goldbach
21:25Yeah, so I see I don't know one more person to talk and so who is who's the last person? The name is administrator.
Administrador
21:33Who? Hello, hello. I'm Isabel. I'm Isabel. Okay, I usually use in my job the back of office the pack of Microsoft Word SL access and grow back to a very usual But currently, I make my presentations by in in PowerPoint or in Canva,
Bernie Goldbach
22:03okay, free
Administrador
22:04version of Canva,
Bernie Goldbach
22:06yeah, right. We're going to use a program called gamma dot app, and it'll produce a presentation. But if you have a standard Microsoft Office, they will probably want you to take the the gamma presentation and bring it into a PowerPoint format. So you'll see that it's a fast way of making a PowerPoint deck. Gamma, dot, Apple, we'll, we'll show you that in a few, a few sessions, how that works. Sara, do you want to add anything to all this? It's a tool, a tool question,
Sara
22:43I think they mentioned most of the things. I'm also using Canva, and I agree with the fact that the AI tool is still not developed enough, I guess. And well, I'm in my graduation phase, so we're looking for a lot of academic papers. So size space as an AI tool to find the right article, but the rest was already mentioned, the classic ChatGPT Word Excel and so on.
Bernie Goldbach
23:09Yeah, I might ask you for follow up sessions, especially when we're in Portugal together, to have people offer a deep dive into a tool that they that they've used. Part of this program is to is designed to give you credit for sharing a big reveal, a new tool you've tried, or a big enhancement you've seen. So like in your case, Sara, it might be okay walk us through a big greater efficiency you've discovered for finding or improving your research through the tool you're using. Like in Maria might be a case like, oh my god, you got a major breakthrough with regard to using Canva for roll ups at the same time for an Instagram post at the same time for something that's a Facebook short. So there's ways of combining together the output you need by the workflow you structure, and sometimes it's just simple about changing the steps that you do something so that the artifacts from one blend into the workflow the second or third. So I know that, you know, I may be asking you that specifically, see, Maddy, did I ask you a question about it? Don't remember. No.
Maddy
24:22Not yet, but I agree. I also only use everything that's mentioned,
Natasha Doshi
24:27okay, right,
Bernie Goldbach
24:29all right, and then let's see, I haven't been keeping good notes about who was, Silvia, that you talked right? Silvia? No, no, okay, okay,
Filipe
24:44I use all the tools that already mentioned my colleagues and another one, it's the deeply when I want to rewrite the some text
Bernie Goldbach
25:02you say you're rewriting with deep, seek, deeply. Oh, deeply. Okay, okay, okay, good. Some of these are tools that aren't in the deck, so maybe coming back to explain how that would fit. It'd be very helpful to have people using about 10 minutes of their own explanation about how they how they got there.
Filipe
25:23Okay, may I ask something? Bernard, yes, go ahead. All of you told us that use Excel and maybe Power BI, which I believe that you will use in sequence, in a way that you create the tables in Excel and then use Power BI as a visualization tool. Can you give me examples of context of use? So, how? How do you, what do you use Excel for, what kind of tables so that I can customize a little bit our examples in the course? So Vanessa was the first one who told us she uses Excel and Word permanently, permanently. Is it in the combo? And if so, what are the tables that you use? And that
Vanessa Okoli
26:10example with Excel when I was doing my internship, like, when I would download data from like, a tool, I would use Excel to, like, maybe narrow down the information with, like, pivot tables and stuff like that. Right now, I haven't, I haven't used Excel, yeah. Right now, as for word, it's just for reports, any reports that I'm writing, yeah.
Filipe
26:35So if I understood correctly, your table is mainly to be summarized, statistically summarized in a pivot table. So data analysis, in a sense, statistically? Okay, yes, I'm assuming that Sarah as well, if she's into research, she might want to use Sara. Is that true? Do you use? Do you record your
Sara
26:56very much, honest, I use the most simple, basic part of Excel like I've never used it more than to do the formulas and just for it to stay on its own.
Filipe
27:06But I'm not, I'm not asking about using in first for formulas. I'm just talking about tables, and maybe Excel can be your tool to to insert the table. Period. Do you? Do you have to collect data, quantitative data, that you think that, well, you need some kind of storage of those tables and scrunch some processing AI on it.
Sara
27:29Currently not. Okay.
Bernie Goldbach
27:34Isabel, you on the call? Right? No, you'd answer, right. Sorry about that. Yeah. I'm just trying to figure out who everyone's I've given everyone some air time, so I want to know really quickly then, like, is there
Isabel
27:45would I say? Anything else
Bernie Goldbach
27:48did? Yeah, I can't remember, did you say?
Isabel
27:50I also use a Grammarly, okay. I was well, I am writing,
Maddy
27:57yeah, to
Isabel
27:58correct my my Brady soon.
Bernie Goldbach
28:02Okay, for what it's worth, Grammarly, just bought an AI tool called superhuman and very clever facility. They have some very clever code in them. In superhuman, superhuman is a very powerful email management program, and it'll be interesting to see how some of the code from superhuman will be integrated into Grammarly, because it's very clever, what it can do for automatically telling you what you want to do next. Grammarly is good for correcting the flow of conversation, correcting the common elements of writing and structure. But now there are many other logical processes in the background of how people talk and how people speak, read and write and to see them see it getting better all the time. Is clever. Very, very clever. Okay, another question that was raised in that previous slide that I showed was burning questions that you want to make sure that this the next few weeks, that we have your attention or we're working together. What do we like? We have your information already from a previous survey, but now that you're you've got to this first session like, what do you want to make sure is a quick win, something that has, hopefully you'll get, will get done so that spending a few hours every Tuesday is really worth your while. Is there? Leti, what would work for you. What's, what's the, what do you hope in the next, say, three weeks that, boom, we do this. What is, what is the thing that you hope you can Well,
Letizia Cenni
29:52I'm very curious myself to become sort of an AI powered stuff. Ai powered, let's say I need to copyright. Let's say I need all right,
Bernie Goldbach
30:04okay, good, recognize, that's it, all right. Now there's, there's a job in that, but if I'd add to it, I'll modify. You don't have to agree with this. I would say, then what I heard you tell me is you hope that you can become an authentic voice producing content more expressively faster than before. So I mean, if you pull the authenticity from what you're creating, anybody can do your job. So you're going to make sure that you know that what you want to write and what you want to express has an authentic, realistic, personable piece, personable undercurrent. And I think that'll be good, otherwise, you're a slave to the trade. You know, like I can, I can see plenty of people that boy, they can, they can prompt faster than I can type, but they sometimes lose the authentic voice when they do it. So you don't have to agree with what I just said, but I'm saying that. Want to make sure you know authenticity of purpose, authenticity of voice, is going to be a saving grace. It's going to it's going to give you greater, semi permanence in the space of copywriting, for example. So Eleanor, are you, you just want to you here to just process research faster? Or what is there? What's a quick what's a quick win for you?
Eleanor Moloney
31:34Yeah, to do everything faster and be finished in a half a day. All right, okay. No, not really. I think, I think, Well, you probably know, a lot of my work is so different, you know, it's not like every day is the same, so I have to be able to move across, like multiple areas at the same
Almudena
31:54time.
Eleanor Moloney
31:55And, you know, it can get overwhelming, and AI allows me to just be able to stay on top of it, so just in terms of process. And the second thing is, because of my job in art and design, I want to know how it affects our students. You know, to know how so, so we can influence how our programs are taught and so on. But if I don't know what, I can't do anything like that.
Bernie Goldbach
32:21If I could offer you a challenge to try, and then you can say it just didn't work. A challenge to try is this, if you're in a situation where it could be a student facing situation, or a course review situation, or a research announcement, if you could backfill what just happened as a calendar invitation to yourself with a short description of four or five key terms that have that came out of that session. From experience, I know I can ask Gemini about my previous week, and it's service to stuff I would have forgotten. So all, all I had to do is add it as a calendar item to myself, so you could maintain a special calendar called research. Eleanor. Another one called, like, you know, broccoli. Eleanor. Eleanor, that's all your all the food stuff. Another one called, you know, Audi Eleanor, and computer calendar about your car. And it's just amazing. I mean, Gemini will extract nuggets of actionable nuggets from that. And it's, you mean, it's helped me combat.
Eleanor Moloney
33:30I don't know if other people on the call here have that kind of symptom where they have 100 tabs open at the top of their screen. Get out of that world is several screens on top of the screen. Yeah? So, yeah, that, you know that whole sort of, I want to take a year out, yeah? So if I can get AI to put a bit of manners on how my work, I would be huge.
Bernie Goldbach
33:58Okay, now I'm telling you, see, we're going to have this thing i'll explain next session. I'm hoping I'm writing down some of these things. I'm hoping that what you just said is a campfire moment. Eleanor can say, Okay, here's something I've discovered that is removing my multiple tab existence. Here's what I'm doing differently, and it could be a simple process, creative workflow, maybe not even using an AI, is just process based an outcome that's better because your process was improved. Okay, we'll see. David. How about you? Is there? What's a quick win? You got to get in next three weeks or be become more aware of and make this worth it. Wow. Quick win,
Filipe
34:43get insights into
Almudena
34:45new tools and become more efficient doing work and studies.
Bernie Goldbach
34:53Okay, yeah, you'll see that, and it's up to you whether, whether the tools that we show you fit your needs. And it could be like in my case, because I'm working with three people who are very prolific writers. And Leti, this is like, like, what school you from? Lei? What are you in Netherlands? And we're in Finland. Where are you in Austria? No, how about no to Leti, how about you? Leti Iman,
Letizia Cenni
35:24the NHL standard in new warden, Netherlands.
Bernie Goldbach
35:28Okay, so the team I'm working with that are content writers. Are in Fontes, you know them in Eindhoven,
Maddy
35:37huh? Not really. No,
Bernie Goldbach
35:39okay, okay, so the point is, you're you're no more than two degrees of separation from people that probably will elevate your your passions. Okay, so part of what I'm doing with them will relate to something that I'll show to the group. But my point is, each of us are going to be able to share big reveals or interesting discoveries that should affect the productivity in short term or midterm of what we're doing, because these tools, many tools you're going to expose to, are new and they're evolving. And my problem is the My part of my massive efficiency measurement of real efficiency is, did I produce a set of 10 to 15 slides that I can show to somebody and they'll look at it and say, I'm so glad I saw this. So it's the production of quick hitting words with some images with some hyperlinks that are truthful, that are based on real experience. And I'm doing that. Okay, so the point is, your case, David, you can look after all the bright, new, shiny objects, but you know, if you're if your measurement of efficiency is, did I get through the day faster? Because Eleanor said that already, look, I need to, you know, cut to the end of the day faster so I have a clearer head. Okay, that's the ultimate thing, and it's probably not. You're not going to get there by exploring all the next enhancements, software improvements, or the things that the world, the capitalists want you to buy. It's down to the workflow, you know. And does this new thing fit? So I will take all of you of your marching orders to test Dave, to say, Okay, can I show you greater efficiency that I might have achieved? And I'll show you my thing, like I told you, like I starts with, I start with an erasable grease pencil thing, and I try to create that is, make that into 90 slides, you know. So that's my workflow. Lipa, did you mean to raise your hand,
Filipe
37:47but you can finish first. Now I'm
Bernie Goldbach
37:49done. Talk. Okay,
Filipe
37:51so I know Bernard for one or two years, but I don't know him very well, but I think there was some kind of trick question about what we want to learn with AI, because it's testing your your preconceptions about what AI can do. And all of you said the same thing, that I want to do, the same things that I do, but faster optimization. None of you, for example, said I want to do better decisions. For example, project management. Some of you, some of you told about Trello and other stuff. I have to allocate a human resource into this task. What should that human resource be? So, can you give us an example that is not regarding productivity enhancement in the sense of speed, but to be more creative, to be better decision making, etc, etc. Or it's just efficiency. From AI,
Bernie Goldbach
38:51you said you throw this out to David, or anybody, Filipe or to me, sorry, this question that you're saying that could you do? You want us to answer that question,
Filipe
39:02because I think there's some bias here everyone Yeah, I went to see what they think the technology can do. And all the answers was, speed, speed, speed, speed, right.
Almudena
39:14Yeah, right.
Filipe
39:16So yeah, is that? Is that why you went to the course to have speedy, speedier tools, and I'm being provocative.
Bernie Goldbach
39:25Okay, Eleanor's gonna answer here? Well,
Eleanor Moloney
39:27I'm not going to answer because I think what it is is you're asking for a higher level of operation. And for me, I have to shovel a lot of muck out of the way before I can get to that part where I can free up my brain to operate at a higher level. Yeah, it's and I think maybe if I can solve one thing with AI, then we might be able to AI. Sorry, I'm not speaking for the group. I could operate there, and I'd like to be able to operate there for sure, right? I'm a designer. It's like to have that space, to be able to think and consider about things. But at the moment, I'm drowning, and I'm hoping technology can help that.
Filipe
40:15I think that this course can help you on on certain So you mentioned that you work with 100 taps. Okay, so that's your short term memory, an external short term memory, so you cannot put everything on your inside RAM. And a ChatGPT In theory, has also an accessible RAM, and you can, you can remember? Well, Bernard is the expert on this part, but I'm just trying to see, or we can see when, when you are giving you giving us your example of, why do you need 100 tabs open that there might be an announcement there on giving that, that job to AI and ask AI to get the information that you need from those tabs. I'm not sure. Does this make sense?
Eleanor Moloney
41:07Yes, absolutely, because it almost torments you to look at
Filipe
41:12that many information management, right?
Eleanor Moloney
41:14Yeah, for sure. Sorry For hugging the conversation.
Bernie Goldbach
41:19I don't I don't want to let anybody, cut anyone out of this discussion, but I do want to just, I do want to bring in someone who's watching with interest, and that's, that's you, Natasha, would you answer that question, you know, like, if you were going to borrow material from this program, from what you've seen already? Well, what is, is there a key imperative, an actual, an important underlying fundamental deliverable that would have to come front and center to be delivered on. So you're from Austria, yeah, so
Natasha Doshi
41:56Austria, yes, and I was just observing and listening to what has been shared and for me, or what I put down in my notebook as the most important element, is like, really this self reflection, and I think that is something that I take with me. So this reflective moment of my personal workflows, and I have already like identified areas where I really need to improve, because it's taking up too much of my time, and I was really triggered when you said this authentic voice, because this is so important to me, and that's why I think I'm still way behind with my workflow, because I love writing. I'm a fast writer, and giving feedback to my students. I also teach in the field of design is very important to me, and I noticed that I keep writing similar things, and you've just triggered some ideas. And I want to test is how I can improve it.
Bernie Goldbach
43:03Yeah, I think you will probably see something I borrowed from a one of our king moodlers here in Ireland, and he's got a complete framework of it's like where Grammarly meets his, his words that meets the students performance that automatically based on a number. He offers on an assignment, a two or three paragraphs appear, he's going to mod it slightly personally. And it goes,
Natasha Doshi
43:36that was exactly what I had in mind. Yeah.
Bernie Goldbach
43:39So now then I need to, need to give this person's name to you, so I'll get, yeah, there's several people doing this, but there's a there's a couple people, and they'll be at, they'll be at that OEB conference in Germany in November or December. There's about 10 moodlers that show up at that. And I'll just try to guy's name is Gavin, Gavin Hendrick, but I'll, I'll send, I put a note in my book here to send you his details. Say, look, hey, Gavin, you've given the touch of this stuff. And there's a, there's a few other people too that have, they actually have done what you need. That's a matter of whether they'll give it to you. Which are they? I mean, it's one cup of coffee in Berlin, and you have it, so go on there and just meeting them for a coffee, and then you come back with this gold mine stuff. That'd be nice. Be nice. Be nice. Okay, um, does anyone want to say anything? If not, I want to go to the rest of my deck here and want to have you do some things.
Isabel
44:40So Well, I mainly, I mainly, would like to find a tool for to combine the information of different files, specific information and important information, extract this information and to combine in a unique, unique file to make tables, etc.
Bernie Goldbach
45:10So Filipe, that's what Isabel just mentioned is exact, similar to what we've had business lecturers do with that composite information data set that we presented in a previous session. So be interesting to see there's some other smaller things that I wanted to key up in the next few weeks, which which will allow you Isabel to see how to how to structure a workflow to get to the position to where an AI tool can crunch through these various pieces of information. It is so beautiful to see how fast a tool can make sense out of disparate pieces of information. So before I go to my slide deck, I wanted to ask you, Vanessa, Is this similar? Is discussion we're having here, similar to anything you have in a fourth year business degree? I mean, are going are you approaching any of these issues on the academic curriculum now, or is it just getting expertise in the various programs? But is anything you've heard so far relevant, exceptionally relevant to either a fourth year project or the degree?
Vanessa Okoli
46:31Um, right now, we're just covering basic stuff, nothing. I haven't covered too much right now. Okay, business, yeah, you
Bernie Goldbach
46:38have a, do you have a fourth year project you have to do, or, yeah, I
Vanessa Okoli
46:42do. I do have a final year project. I don't know what I'm doing right now, like, I have an idea. Kind of want to do design and marketing, something to do with that. But, yeah, still thinking of ideas and stuff.
Bernie Goldbach
46:57Okay, good. It's possible to weave in a series of AI tools to that project, and actually, on the back of what you're learning here on Tuesday evening, applying it there in the fourth year project, you'd have, you could have a really deep dive into some really clever outcomes. So yeah, okay, I want to move on to the rest of the slide deck. It's about 80 slides, and we'll get through it faster than what we just did, but there'll be some pause points for a break period. But I just wanted to show you what this course is 
doing. So what's happening on the screen right now is it's showing you some things that some agents and some automation and some tools for productivity. And what you see is productivity in this slide is, you know, freeing you up, you know, maybe scheduling information, maybe using tools for the trade, removing repetitive work and allowing you to become more of a person, as opposed to the slave or a person, a person punching a number on a screen or a key on a keyboard and actually getting jobs done. Most of you may know the next five slides I'm going to show, but I'm going to I need to lay down some terminology. Jennifer, AI generative. AI is one of the tool, the technology phrases I want to cover, I want to underscore what I mean by digital transformation and how it could relate to your own personal digital transformation. So that'd be like you chasing your tabs Eleanor or anybody else trying to free up space during the day, and then how AI might affect you and how it may affect the development of cleverly executed digital transformation. There are some skills, some attitudes, some behaviors you may need to develop, and some tools and apps which are actually less important than actually developing the flow and the workflow needed to use those tools. So this is a and I just realized I can't play this without having done something on my zoom, which is I got to tell my zoom to turn on the sound. So let me just do that.
+1
doing. So what's happening on the screen right now is it's showing you some things that some agents and some automation and some tools for productivity. And what you see is productivity in this slide is, you know, freeing you up, you know, maybe scheduling information, maybe using tools for the trade, removing repetitive work and allowing you to become more of a person, as opposed to the slave or a person, a person punching a number on a screen or a key on a keyboard and actually getting jobs done. Most of you may know the next five slides I'm going to show, but I'm going to I need to lay down some terminology. Jennifer, AI generative. AI is one of the tool, the technology phrases I want to cover, I want to underscore what I mean by digital transformation and how it could relate to your own personal digital transformation. So that'd be like you chasing your tabs Eleanor or anybody else trying to free up space during the day, and then how AI might affect you and how it may affect the development of cleverly executed digital transformation. There are some skills, some attitudes, some behaviors you may need to develop, and some tools and apps which are actually less important than actually developing the flow and the workflow needed to use those tools. So this is a and I just realized I can't play this without having done something on my zoom, which is I got to tell my zoom to turn on the sound. So let me just do that. Filipe
49:20Let me just ask Isabel while we're waiting for Bernard, okay, Isabel, when you mentioned that you went to to create a table, generate a table with information from 100 files, right? Do you also have the need, for example, summarize information that is stored in 100 emails, for example, or it's not so common,
Bernie Goldbach
49:48is that for Ella door,
Filipe
49:50Isabel, have you?
Bernie Goldbach
49:52Isabel, okay,
Isabel
49:54okay, yes, sorry,
Filipe
49:58you told us that you need to summarize information in a table that comes from, let's say, 100 different files on your computer, right? Do you also so this is information management is very similar to to Eleanor Moloney, example of 100 tabs, right? In a sense, do you also have the need, for example, 100 emails that you know that information is there and you want to sort information out,
Isabel
50:23no in emails, I don't the need. I think is important in files, in documents very large or very strong to extract and combining in in one document to send a to the students or to the teachers of my university.
Filipe
50:50Okay, then I'll ask you for a complete example, but, but,
Isabel
50:55but there's a problem, because the personal dates is protected by by legal, sure, and we can't put it on AI, on a intelligent, artificial,
Filipe
51:14okay, yes, Okay,
Bernie Goldbach
51:20all right, this is a basic thing. It's about, you know, what is it? What is generative AI with a transformer? Let's see if I can make this.
Speaker 1
51:32Explain 
it in about three minutes. The initials GPT stand for generative, pre trained transformer. So that first word is straightforward enough. These are bots that generate new text pre trained refers to how the model went through a process of learning from a massive amount of data. And the prefix insinuates that there's more room to fine tune it on specific tasks with additional training. But the last word, that's the real key piece a transformer, is a specific kind of neural network, a machine learning model, and it's the core invention underlying the current boom in AI. What I want to do with this video and the following chapters is go through a visually driven explanation for what actually happens inside a transformer. We're going to follow the data that flows through it and go step by step. There are many different kinds of models that you can build using transformers. Some models take in audio and produce a transcript. This sentence comes from a model going the other way around, reducing synthetic speech just from text. All those tools that took the world by storm in 2022 like dolly and mid journey, that take in a text description 
and produce an image, are based on transformers, and even if I can't quite get it to understand what a pie creature is supposed to be, I'm still blown away that this kind of thing is even remotely possible. And the original transformer, introduced in 2017 by Google, was invented for the specific use case of translating text from one language into another. But the variant that you and I will focus on, which is the type that underlies tools like ChatGPT, will be a model that's trained to take in a piece of text, maybe even with some surrounding images or sound accompanying it, and produce a prediction for what comes next in the passage. That prediction takes the form of a probability distribution over many different chunks of text that might follow. At first glance, you might think that predicting the next word feels like a very different goal from generating new text. But once you have a prediction model like this, a simple thing you could try to make it generate a longer piece of text is to give it an initial snippet to work with, have it take a random sample from the distribution it just 
generated, append that sample to the text, and then run the whole process again to make a new prediction based on all the new text, including what it just added. I don't know about you, but it really doesn't feel like this should actually work in this animation, for example, I'm running GPT two on my laptop and having it repeatedly predict and sample the next chunk of text to generate a story based on the seed text. And the story just doesn't actually really make that much sense. But if I swap it out for API calls to GPT three instead, which is the same basic model, just much bigger, suddenly, almost magically, we do get a sensible story, one that even seems to infer that a pie creature would live in a land of math and computation. This process here of repeated prediction and sampling is essentially what's happening when you interact with ChatGPT or any of these other large language models, and you see them producing one word at a time. In fact, one feature that I would very much enjoy is the ability to see the underlying distribution for each new word that it chooses.
+3
it in about three minutes. The initials GPT stand for generative, pre trained transformer. So that first word is straightforward enough. These are bots that generate new text pre trained refers to how the model went through a process of learning from a massive amount of data. And the prefix insinuates that there's more room to fine tune it on specific tasks with additional training. But the last word, that's the real key piece a transformer, is a specific kind of neural network, a machine learning model, and it's the core invention underlying the current boom in AI. What I want to do with this video and the following chapters is go through a visually driven explanation for what actually happens inside a transformer. We're going to follow the data that flows through it and go step by step. There are many different kinds of models that you can build using transformers. Some models take in audio and produce a transcript. This sentence comes from a model going the other way around, reducing synthetic speech just from text. All those tools that took the world by storm in 2022 like dolly and mid journey, that take in a text description 
+3
and produce an image, are based on transformers, and even if I can't quite get it to understand what a pie creature is supposed to be, I'm still blown away that this kind of thing is even remotely possible. And the original transformer, introduced in 2017 by Google, was invented for the specific use case of translating text from one language into another. But the variant that you and I will focus on, which is the type that underlies tools like ChatGPT, will be a model that's trained to take in a piece of text, maybe even with some surrounding images or sound accompanying it, and produce a prediction for what comes next in the passage. That prediction takes the form of a probability distribution over many different chunks of text that might follow. At first glance, you might think that predicting the next word feels like a very different goal from generating new text. But once you have a prediction model like this, a simple thing you could try to make it generate a longer piece of text is to give it an initial snippet to work with, have it take a random sample from the distribution it just 
+3
generated, append that sample to the text, and then run the whole process again to make a new prediction based on all the new text, including what it just added. I don't know about you, but it really doesn't feel like this should actually work in this animation, for example, I'm running GPT two on my laptop and having it repeatedly predict and sample the next chunk of text to generate a story based on the seed text. And the story just doesn't actually really make that much sense. But if I swap it out for API calls to GPT three instead, which is the same basic model, just much bigger, suddenly, almost magically, we do get a sensible story, one that even seems to infer that a pie creature would live in a land of math and computation. This process here of repeated prediction and sampling is essentially what's happening when you interact with ChatGPT or any of these other large language models, and you see them producing one word at a time. In fact, one feature that I would very much enjoy is the ability to see the underlying distribution for each new word that it chooses. 
Bernie Goldbach
54:39The Uh, okay, uh, everyone said that they had ChatGPT, or they're familiar with it. So I want to try to figure out, based on what you just heard, could you ask your ChatGPT for three random words? Just generate three random words. I want to see like, do we all come up with close to the same random words? Now, if you ask it in English, give me three random words to probably give you three random words in English. If you ask it in your own language, well, maybe it'll be different, but three random words. And what I'm going to do in the Zoom chat, I'm going to put the random we'd like you to put the random words that came up. So I asked you for three random words, and I got, I got lantern mosaic and horizon. So just want to see this is ChatGPT coming up. There's a few people are getting them.
Bernie Goldbach
55:46So this is why Natasha, the authentic voice, is important, because people recognize you're using a ChatGPT, you're using an AI. I'm not paying you for that. I mean, in an hour's time, the random words may be different. That's what's happening behind the scenes. ChatGPT has figured out that this time of day, anywhere in the world, lanterns are there, or things have lanterns in it, like lighthouses. So it's all right. It just impresses me, because this, this kind of example, is something that that I, that I, that I see happening. So, okay, this thing is a Slido 
question. How often do you use it? I think most of you saying that you're using it. Hey, look a lot. But give me an idea, like on this Slido with your mobile phone, you can hit that QR code, simply tap it. If you go to slido.com and that room number 1191, 199, like, are we? Is everybody on this call, pretty much every day using it, or can't use it like on the university, so you're using only personal or like, it's bears, bears mentioning when people in small businesses in Ireland, when people in large businesses in Ireland get this kind of training from me, about 30% 30% one out of three people are using it in frequently. So someone like yourself. Vanessa, going to work in an industry application, you discover that it's pretty easy to find people, well, 30% of the people in a tea room that might only be using ChatGPT infrequently. So what is it? ChatGPT? You can talk to it. That's why a lot of people like it. You can use your own natural language, as convoluted as it might be if you're using advanced version of it, you can get all 
kinds of output as suggested by the video. You can get text that produces speech, that produces videos, that produces images, and it can interpret stuff the other way around. It can listen to words. It can listen to audio and produce an underlying meaning from that. The napkin example, a couple you guys are using, producing diagrams, processing code, and if you're paying for it, the paid version, and it's easy to pay more than 40 euro a month, if you have a few AI is it can retain the information across different times you interacted with it through the memory that you customize as projects or as settings that you put in place to save it only to your local space or to save it to the world at large. So over time, using the same AI, it gets to know you, becomes more relevant, and theoretically helps you tweak its output to make it even more relevant to getting results. ChatGPT reached 100 million users a whole lot faster, like in the case here, two months then, compared to Tiktok, which took nine months, and compared to Uber, which 70 months. Amazing, how fast it arrived. All 
right, we're going to be using Microsoft copilot. Or if you folks are really good at producing images with Canva or with napkin or with another app, well, maybe you don't need to do it this way, but I'm going to want you to be able to see the copilot logo inside the Edge browser. It is something that most of the RUNEU campuses have. So a lot of Microsoft 365 services are used across RUNEU. It's there because it offers enterprise grade security. Complies with the EU AI act. It allows personalization, and over time, it has contextual understanding. It understands where you are, what you're writing to, and you can tweak the context based on personal, formal or a balanced type of way. I also pay to use a service called perplexity because it tells you what it's doing upfront. Gemini is better in the last six months than it used to be, showing the sources up front. I like the side panel on perplexity because I can stick stuff into projects. I can share stuff publicly and publicly in spaces. Can make web pages out of it based on what perplexity is doing, and I enjoy that. But the big elephant in the room is actually what Google Gemini is doing now. So there's a thing called a context window, which is the amount of characters you can put into an AI to have it activate and look at the problem you're asking to be solved. And now Google Gemini, based on the models that it has with Flash 2.5 has world has the biggest context window you can jump put a lot of stuff into the prompt and understands what it's, what it what it has. If you have Gmail or you're using search, well, then I believe you should use Gemini in your toolbox, and what that means. And this could, this is like backwards reference Eleanor. I mean, I use, I shoot a lot of my Outlook mail to to my Gmail, and I use Gemini to tell me to pick up stuff that I might have missed. So I could actually ask Gemini. And I do this in the morning, you know, prior to washing up in the morning, I'll ask Gemini, have a look at my mail. Is anyone offering me money? And normally it answers the other way around. You've got four things that are overdue, you know, and two bill collectors looking at you. Well, that has not happened to me, but it could. So I asked it about money invoices past due and overdue. And normally, if you use the word overdue, it's pointing out that, look, you're overdue paying this particular vendor and and and that's not unusual, because I Bernard cards that I don't want stuff coming right out of my bank account without looking what it's spending. So it tells me that. And then the other thing about overdue, it tells me, hey, look, you, you actually, it actually spots Gmail, spots that I interacted with someone three or four days ago. And wouldn't it be good to interact with them again. So my point is, if you're using Google Gmail now, using the Google service, and you're not using Gemini, chances are you're not leveraging your personal or your business communication at the highest level possible. And I'll show you some specific examples of that in another session. I like Gemini for how it's it's in my toolbox, and it's delivering. It is delivering for me. I'm not here to sell you on Gemini. I'm 
just here to tell you it's good. Claude, several folks in the call here use it. I started using cloud because it has constitutional AI, it said it was going to behave itself. Unlike grok, which does its own thing, it has large context windows as well, which means it can do big documents. The documents that I had that were big documents were like 300 page books that were written in Dutch that are translated to English, and then in one go it had a translation. It can do complex code bases. I watched 14 to 16 year old young people on our college campuses producing ready to go apps, phone mobile, phone apps. Just by talking to Claude and writers, several people in this call identify themselves as a people, people who like to write for people. Writers like the way its content sounds more human, like it's important to have an AI. So folks in the call here ChatGPT Came from open AI. ChatGPT Five has custom gpts. They perform like apps. If you're on a RUNEU campus, chances are you have copilot copilots powered by open AI. You can also get a lot of different apps 
for your phone, for your desktops, and throughout this the next five or six sessions, I'll show you how paid versions of AI can actually produce work for you, and also demonstrate how these services may operate in web browsers without having to use an app To activate the AI. So here's some demos. Here. I need to underscore this, because within a few minutes, we'll outline something want you to do, and during a break period, I want you to be able to do it. Now, it is possible to do the process of producing an image by not using Microsoft copilot in edge. That's a fact, but for folks who previously been on training courses, for me, they'd like me to explain, listen, if you're running the Edge browser, then you can run copilot and you can get the image creation to work faster. So I've used copilot in another way. I've had an exam on a web page, and I've used ChatGPT with another In another instance, to look at a PDF. So here's copilot creating an outline. So I took an outline of a previous session, not this session, but another session, and I dumped it 
onto a web page. So I took AI, took a download of the PDF, of the PowerPoint, I converted it into a PDF, I uploaded it thing called Microsoft sway and become a web page. And then I asked copilot, Hey, have a look at this web page and tell me what it's about. So it's producing the from the PDF. It's producing this output. So it's looking at this output, and then it's going to say, I'll give you an outline for what, for what that output was. So it did, took a lot of dirty notes, notes that weren't quite ready for prime time, and it produced it as something that can export it as a PDF. So I can go from a rough cut PowerPoint deck or rough cut set of notes to both a PDF and a PowerPoint deck. Okay, here's ChatGPT doing it. Let's see. I think I'm talking on this one.
+1
question. How often do you use it? I think most of you saying that you're using it. Hey, look a lot. But give me an idea, like on this Slido with your mobile phone, you can hit that QR code, simply tap it. If you go to slido.com and that room number 1191, 199, like, are we? Is everybody on this call, pretty much every day using it, or can't use it like on the university, so you're using only personal or like, it's bears, bears mentioning when people in small businesses in Ireland, when people in large businesses in Ireland get this kind of training from me, about 30% 30% one out of three people are using it in frequently. So someone like yourself. Vanessa, going to work in an industry application, you discover that it's pretty easy to find people, well, 30% of the people in a tea room that might only be using ChatGPT infrequently. So what is it? ChatGPT? You can talk to it. That's why a lot of people like it. You can use your own natural language, as convoluted as it might be if you're using advanced version of it, you can get all +1
kinds of output as suggested by the video. You can get text that produces speech, that produces videos, that produces images, and it can interpret stuff the other way around. It can listen to words. It can listen to audio and produce an underlying meaning from that. The napkin example, a couple you guys are using, producing diagrams, processing code, and if you're paying for it, the paid version, and it's easy to pay more than 40 euro a month, if you have a few AI is it can retain the information across different times you interacted with it through the memory that you customize as projects or as settings that you put in place to save it only to your local space or to save it to the world at large. So over time, using the same AI, it gets to know you, becomes more relevant, and theoretically helps you tweak its output to make it even more relevant to getting results. ChatGPT reached 100 million users a whole lot faster, like in the case here, two months then, compared to Tiktok, which took nine months, and compared to Uber, which 70 months. Amazing, how fast it arrived. All +1
right, we're going to be using Microsoft copilot. Or if you folks are really good at producing images with Canva or with napkin or with another app, well, maybe you don't need to do it this way, but I'm going to want you to be able to see the copilot logo inside the Edge browser. It is something that most of the RUNEU campuses have. So a lot of Microsoft 365 services are used across RUNEU. It's there because it offers enterprise grade security. Complies with the EU AI act. It allows personalization, and over time, it has contextual understanding. It understands where you are, what you're writing to, and you can tweak the context based on personal, formal or a balanced type of way. I also pay to use a service called perplexity because it tells you what it's doing upfront. Gemini is better in the last six months than it used to be, showing the sources up front. I like the side panel on perplexity because I can stick stuff into projects. I can share stuff publicly and publicly in spaces. Can make web pages out of it based on what perplexity is doing, and I enjoy that. But the big elephant in the room is actually what Google Gemini is doing now. So there's a thing called a context window, which is the amount of characters you can put into an AI to have it activate and look at the problem you're asking to be solved. And now Google Gemini, based on the models that it has with Flash 2.5 has world has the biggest context window you can jump put a lot of stuff into the prompt and understands what it's, what it what it has. If you have Gmail or you're using search, well, then I believe you should use Gemini in your toolbox, and what that means. And this could, this is like backwards reference Eleanor. I mean, I use, I shoot a lot of my Outlook mail to to my Gmail, and I use Gemini to tell me to pick up stuff that I might have missed. So I could actually ask Gemini. And I do this in the morning, you know, prior to washing up in the morning, I'll ask Gemini, have a look at my mail. Is anyone offering me money? And normally it answers the other way around. You've got four things that are overdue, you know, and two bill collectors looking at you. Well, that has not happened to me, but it could. So I asked it about money invoices past due and overdue. And normally, if you use the word overdue, it's pointing out that, look, you're overdue paying this particular vendor and and and that's not unusual, because I Bernard cards that I don't want stuff coming right out of my bank account without looking what it's spending. So it tells me that. And then the other thing about overdue, it tells me, hey, look, you, you actually, it actually spots Gmail, spots that I interacted with someone three or four days ago. And wouldn't it be good to interact with them again. So my point is, if you're using Google Gmail now, using the Google service, and you're not using Gemini, chances are you're not leveraging your personal or your business communication at the highest level possible. And I'll show you some specific examples of that in another session. I like Gemini for how it's it's in my toolbox, and it's delivering. It is delivering for me. I'm not here to sell you on Gemini. I'm +1
just here to tell you it's good. Claude, several folks in the call here use it. I started using cloud because it has constitutional AI, it said it was going to behave itself. Unlike grok, which does its own thing, it has large context windows as well, which means it can do big documents. The documents that I had that were big documents were like 300 page books that were written in Dutch that are translated to English, and then in one go it had a translation. It can do complex code bases. I watched 14 to 16 year old young people on our college campuses producing ready to go apps, phone mobile, phone apps. Just by talking to Claude and writers, several people in this call identify themselves as a people, people who like to write for people. Writers like the way its content sounds more human, like it's important to have an AI. So folks in the call here ChatGPT Came from open AI. ChatGPT Five has custom gpts. They perform like apps. If you're on a RUNEU campus, chances are you have copilot copilots powered by open AI. You can also get a lot of different apps +2
for your phone, for your desktops, and throughout this the next five or six sessions, I'll show you how paid versions of AI can actually produce work for you, and also demonstrate how these services may operate in web browsers without having to use an app To activate the AI. So here's some demos. Here. I need to underscore this, because within a few minutes, we'll outline something want you to do, and during a break period, I want you to be able to do it. Now, it is possible to do the process of producing an image by not using Microsoft copilot in edge. That's a fact, but for folks who previously been on training courses, for me, they'd like me to explain, listen, if you're running the Edge browser, then you can run copilot and you can get the image creation to work faster. So I've used copilot in another way. I've had an exam on a web page, and I've used ChatGPT with another In another instance, to look at a PDF. So here's copilot creating an outline. So I took an outline of a previous session, not this session, but another session, and I dumped it +1
onto a web page. So I took AI, took a download of the PDF, of the PowerPoint, I converted it into a PDF, I uploaded it thing called Microsoft sway and become a web page. And then I asked copilot, Hey, have a look at this web page and tell me what it's about. So it's producing the from the PDF. It's producing this output. So it's looking at this output, and then it's going to say, I'll give you an outline for what, for what that output was. So it did, took a lot of dirty notes, notes that weren't quite ready for prime time, and it produced it as something that can export it as a PDF. So I can go from a rough cut PowerPoint deck or rough cut set of notes to both a PDF and a PowerPoint deck. Okay, here's ChatGPT doing it. Let's see. I think I'm talking on this one. Bernie Goldbach
01:05:45I asked ChatGPT to analyze a slide deck, looking at a slide deck, export it to a PDF, uploaded it as a project file, as ChatGPT to analyze it, especially for AI and personal productivity, it broke out. The core themes broke down. The sessions. Told me the main points, and now I'm ready to learn AI for personal productivity. So the point is that if you think in structured manners, so if you think in terms of I have a main point, I have a secondary point, and I have three sub points under that to include some hyperlinks, then you have the foundation of a structured workflow if you don't. And you think in terms of post it notes on the wall or tabs that are open in your browser, and you got to bring them all together. It's harder to bring it's harder to bring focus. So I think in terms of I write some things bigger, and then in my own little grease pencil, something smaller, I put dots or lines to give meaning to sub points, or I number them one, two and three, just starting with that in a handwritten book like this, and taking a picture of it and uploading the image to the GPT. I can get the GPT, I can get ChatGPT or Claude to make me and Leti, you'll love this, a 5000 word document during while I'm making a cup of coffee. So now it may be totally bogus that it comes back with something most time it isn't but it comes back with the word count 5000 words. And then I got to look at and say, Can I defend those words? I mean, it's taken me into a space I don't even know. So now what it's doing is told me, If you present that as your work, you better be able to stand over the resources and the hyperlinks and the references that Claude or ChatGPT or Microsoft copilot has has suggested. So just backing up a minute, and Filipe would explain how to do this with an Excel document. I'm starting with just written stuff in a book, and I've given it structure by writing some words bigger in capitals and then putting indentations with lines or dots or numbers under it, and then telling the AI, I need 5000 words, and I'll be back in after I finish two more liters of drink. Done. Caution. Do that every day and and you are aren't able to expand, explain what the thing just produced, we'll get you in trouble. But boy, can it produce content. I have to have a 3000 word document done by Wednesday, at 10 o'clock. AI is the first place I'm going, and I'm only asking it, though, to look at my own notes to produce the 3000 words, and it'll have a brilliant result. And then I'll ask another AI to tart it up and look at and say, Yeah, nope, I gotta change it. So it's my words, my expressions, my areas of emphasis. But the hard slog of producing the first 3000 words is easy. Honestly, I'd ask you to produce 7000 words so I can trim it back to three, and that's the way I do it. But it starts with my own notes, and I attach to it my own PDFs, my own PowerPoint decks, or my own markdown. So you folks that are on this call, and that's your job, you have to produce research documents. Try that. Let's start with structured data to begin with, 
write it down, and, believe it or not, it interprets an image and gives it structure based on how you've written, sketched out the words in the image, done that. I'm actually afraid sometimes to admit that that's what I've done to create a lot of content. But that's true, definitely true. So you've done this already. You've answered me when I was saying, What do you want to have answered? What do you want to have done? We've done that already. Okay, going to walk through this first few stuff called digital transformation, and I'll get to a point where we can stop, probably in about 15 minutes for about a 15 minute break. But let me explain digital transformation, because it's basically a foundation element. It gives you an overview of we're doing digitally based skills you're trying to become digitally mature. Digital transformation, or change leadership, change management. It's a KPI, a key performance indicator for hundreds of businesses. So if you're joining a company and you can see that one of their basic values is to become a key performer or a custom provider of important, digitally transformative skills, that's you that you're learning how to 
do this. You're learning how to leverage technology. You're learning how to inform decision making of the people you're working with through tools that you've learned how to leverage, and you're learning those digital technologies so you can grow. Your organization can grow. And you know, the team you're on can develop and grow, because you're able to bring all this stuff into the middle. It means that you're adapting to rapid changes that are happening in the workforce today by becoming digitally mature as an organization. Some people would say, You know what, if you're not digitally mature, that means you're digitally immature. That means you're going to be an also ran so somebody would say, look, some people didn't like Nokia might not have caught the bandwagon of transformation when screens went from keypad screens to touch screens, and because Nokia wasn't there, digitally transforming the way it looked at the way information was in somebody's hands and moving across the internet from just touching on a screen, they were digitally immature. The same kind of logic could be applied to any industry today, saying, You know what? I want to make sure we're not caught out with this AI thing that's happening. So I need to make sure all my my employees are up to a higher level with AI. Yeah, they're telling you that what they're interested in doing, the companies are telling you, is they're interested in making sure that they are safeguarded against being caught out by some new company that's able to be digitally able. So need to let somebody into the room here. Hiram is coming in. Okay? So we'll go to a point here of a few more slides. Take a short, short break. Digitally mature. Digital maturity is what put 
that says. So there's some thought leaders that talk about this. Complexity is important. Forecasting is important. Chaos is to be expected. Adaptiveness is needed. David Levy, in 1994 said it's almost impossible to forecast for all the chaos is out there, it's complex because there are patterns to data, large gaps between the data points. Data might not be predictive because of the strength and the direction of the different vectors that are inside the data, and you don't know what's coming based on unusual data sets are in front of you. So the thought leaders are saying, Be aware of the fact that this is this is okay. You can be skeptical. You can be curious. You can be flexible. Meredith Whitaker, she runs signal. She's telling you, hey, you're going to depend upon AI, then you're going to be right into the space of deep fake AI generated reports, articles which only are based on a sliver of truth. Propaganda is being helped. Misinformation is being helped, and because of that, the EU is saying, hey, let's pay people to fight against disinformation by using these same tools to make content that people can trust. It's hyped. AI is hyped. It's controlled. AI is controlled by tech Bros and well funded companies, and Meredith will go so far to say this whole thing might just be a big blowout. I mean, we might be at PKI now, because the money's not coming in to fund it. So I want to go into cover couple. One other concept about 4p that I use of people and processes and protocols and programs, but we're at a point now where I think it's important to take a break, come back in 15 minutes. What I want to do is I want to stop this recording, and I want to and then I want to start again. This the same the same session. So if you have the link from the the previous calendar item, you can you can come back in to join it. I'm simply going to stop recording, and then I'm going to turn off the AI companion. I'm going to close the session and then open it right back up again before I do Does anybody want to say anything? And if there is, and if you don't want to say anything, just leave. But please come back by half past the hour, because I need to cover about 15 more slides. Then we need to do two tasks, and then two things you're going to create, and then see a couple of spaces that we're going to be in. So if you have nothing to say, just leave. Come back in 15 minutes. I have to go get some water. Anyone want to say anything? I won't be impressed. I won't be depressed. You've all leave. Hiram Mung,
+2
write it down, and, believe it or not, it interprets an image and gives it structure based on how you've written, sketched out the words in the image, done that. I'm actually afraid sometimes to admit that that's what I've done to create a lot of content. But that's true, definitely true. So you've done this already. You've answered me when I was saying, What do you want to have answered? What do you want to have done? We've done that already. Okay, going to walk through this first few stuff called digital transformation, and I'll get to a point where we can stop, probably in about 15 minutes for about a 15 minute break. But let me explain digital transformation, because it's basically a foundation element. It gives you an overview of we're doing digitally based skills you're trying to become digitally mature. Digital transformation, or change leadership, change management. It's a KPI, a key performance indicator for hundreds of businesses. So if you're joining a company and you can see that one of their basic values is to become a key performer or a custom provider of important, digitally transformative skills, that's you that you're learning how to +1
do this. You're learning how to leverage technology. You're learning how to inform decision making of the people you're working with through tools that you've learned how to leverage, and you're learning those digital technologies so you can grow. Your organization can grow. And you know, the team you're on can develop and grow, because you're able to bring all this stuff into the middle. It means that you're adapting to rapid changes that are happening in the workforce today by becoming digitally mature as an organization. Some people would say, You know what, if you're not digitally mature, that means you're digitally immature. That means you're going to be an also ran so somebody would say, look, some people didn't like Nokia might not have caught the bandwagon of transformation when screens went from keypad screens to touch screens, and because Nokia wasn't there, digitally transforming the way it looked at the way information was in somebody's hands and moving across the internet from just touching on a screen, they were digitally immature. The same kind of logic could be applied to any industry today, saying, You know what? I want to make sure we're not caught out with this AI thing that's happening. So I need to make sure all my my employees are up to a higher level with AI. Yeah, they're telling you that what they're interested in doing, the companies are telling you, is they're interested in making sure that they are safeguarded against being caught out by some new company that's able to be digitally able. So need to let somebody into the room here. Hiram is coming in. Okay? So we'll go to a point here of a few more slides. Take a short, short break. Digitally mature. Digital maturity is what put +3
that says. So there's some thought leaders that talk about this. Complexity is important. Forecasting is important. Chaos is to be expected. Adaptiveness is needed. David Levy, in 1994 said it's almost impossible to forecast for all the chaos is out there, it's complex because there are patterns to data, large gaps between the data points. Data might not be predictive because of the strength and the direction of the different vectors that are inside the data, and you don't know what's coming based on unusual data sets are in front of you. So the thought leaders are saying, Be aware of the fact that this is this is okay. You can be skeptical. You can be curious. You can be flexible. Meredith Whitaker, she runs signal. She's telling you, hey, you're going to depend upon AI, then you're going to be right into the space of deep fake AI generated reports, articles which only are based on a sliver of truth. Propaganda is being helped. Misinformation is being helped, and because of that, the EU is saying, hey, let's pay people to fight against disinformation by using these same tools to make content that people can trust. It's hyped. AI is hyped. It's controlled. AI is controlled by tech Bros and well funded companies, and Meredith will go so far to say this whole thing might just be a big blowout. I mean, we might be at PKI now, because the money's not coming in to fund it. So I want to go into cover couple. One other concept about 4p that I use of people and processes and protocols and programs, but we're at a point now where I think it's important to take a break, come back in 15 minutes. What I want to do is I want to stop this recording, and I want to and then I want to start again. This the same the same session. So if you have the link from the the previous calendar item, you can you can come back in to join it. I'm simply going to stop recording, and then I'm going to turn off the AI companion. I'm going to close the session and then open it right back up again before I do Does anybody want to say anything? And if there is, and if you don't want to say anything, just leave. But please come back by half past the hour, because I need to cover about 15 more slides. Then we need to do two tasks, and then two things you're going to create, and then see a couple of spaces that we're going to be in. So if you have nothing to say, just leave. Come back in 15 minutes. I have to go get some water. Anyone want to say anything? I won't be impressed. I won't be depressed. You've all leave. Hiram Mung, 
Almudena
01:15:17I'm just, I'm just saying hi to everybody. Sorry. I'm late, but okay, I'm anxious to see the next part.
Bernie Goldbach
01:15:24Yeah, okay, so I'm just gonna, I'm gonna physically turn off the Zoom call. Well, actually, can I do that? Yeah, I'm gonna, because I have to shut up my otter thing. But turn it off. Come back in. It resets a lot of things. It starts spinning up a Vimeo of what we just did, which everybody can see. So I'm going to, I'm going to assume that Natasha, you want to say anything, or Isabel or Maddy, do you want to say anything at all? Yeah. Filipe, you don't mind? Somebody had something in the chat. I got to read that. Yeah. So for what it's worth, Hiram, in the chat. I don't know if you can see it. I asked people, just ask the GPT, S or AI, three random words. So if you wouldn't mind doing that, ask an AI and give me three random words. Be interesting to see whether your three random words are the same, because you're now 20 minutes beyond the time everybody asks. So any AI, any AI? Well, I asked, I think they always ChatGPT. You know, ChatGPT for give me, please give produce three random words for me now, and the most common words used had something to do with a lantern, either in a by itself, or a lighthouse
Almudena
01:16:38or lantern. Lantern, velvet and horizon,
Bernie Goldbach
01:16:42okay, so lantern horizon. Whisper, lantern meadow, spiral, lantern meadow, puzzle, Ashfall, lantern Morrow, lighthouse. Velvet. Whisper, yep. So you're, you're one of us.
Filipe
01:16:55Appleage,
Bernie Goldbach
01:16:56yeah, Filipe, you won't be upset if I turn it off and come back in wave.
Filipe
01:17:01No, no. So what time should we be here? In 15 minutes?
Bernie Goldbach
01:17:06Yeah, at half past the hour, I'm gonna shut this down. Gonna get one of these waters. I'm gonna turn it back on again. Okay, so people will be maybe talking casually. I have about 15 more slides to cover, but the two activities I want people to do, which is using Copilot to generate an image of themselves. So type in something contextual about themselves and produce an image, and then they're going to put it into the Google Drive. So it's there to kind of say a sample of first work, some images will be much more realistic. So Leti, for example, has asked me, can she use her she's a tool inside of Instagram that does this fast. Okay, her stuff may look really sophisticated, and several people are using Canva, so their image creation will be better. And then I think a couple of people are using napkins, so they might be to generate that, but I mean image. And then I'm going to ask them to use what really want them to use Nana banana, which is a chat a Gemini image producer. And Gemini will use a service called Nano banana, and I want them to add some food element to the context of the image. So my case, I asked it to like, you know, produce a senior university lecture that looks like you might have come out of Dead Poets Society. And it produced Robin Williams, you know, who may look a little bit like me, I don't know. And then I said, gonna ask Nana banana please add a plate of sushi to this image. So uploaded the one from from Microsoft Copilot to nano banana, and I got sushi. I want to put all those things into a file folder inside of Google Drive, and then that's going to be it. Two lessons from maybe next. Next session. Going to ask, okay, we're looking for the perfect night out in LA area, and we're just going to look at the images that people created of them with food, and have another data set, which has all the restaurants in in Portugal, in the town. And then something else to say, look, compare all these things together. Where is the perfect place to meet for food? And it may be pizza, because more people have pizza in their image or something, or might be, I mean, that place, I can't remember what it was called, that we all went to, is that a big carvery, but you could have pizza and sushi, and, you know, everything. So you know that could be what happens. It generates the perfect place for people to have a night out based on the avatar selfie with food, plate of food.
Filipe
01:19:30Also remember, if you can, if it's possible, remember when I told Dylan that I was trying to take photos of my food, just so that he would compute the calorie intake of the food? Yeah, that's popular between girls, maybe there are lots of girls here maybe.
Bernie Goldbach
01:19:47Another thing we should probably do in the Segal caloric calorie intake of of the food.
Filipe
01:19:53That's you, that's, there's lots of gym applications that try to do that now. So yeah, it's, it's, I'm
Bernie Goldbach
01:20:00going to shut this off and come back in real soon. Okay.
Almudena
01:20:02bye bye.