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normal number of times we met. But just to keep my own accounting correct, I want to start with a short campfire session and then walk into the main session. Filipe won't be with us today. He's meeting some people from running you at the during this same timeframe, so I'm hoping that means good things. I'm just reemphasizing the fact that these are the AI tools, Gemini from Google Cloud, AI and tropic chat, GPT, which a lot of people use, and it's actually five now for Omn, the is actually the model in the background that people are using, but five shows up in your browser, copilot from Microsoft and Perplexity, which we'll use tonight, I talked to my AI's, and with the visit of a few people from America, my cousins from America, who stayed in Ireland last week, I know they were literally talking using their own language, their own conversation with The microphone option with their phones to get feedback from Google, Gemini audio feedback. And it is not uncommon for people to develop a bit of a relationship and a shortcut certain phrases they use to to get actions back from an AI. Ethan Malik makes this point in his book co intelligence. So I guess the cautionary tale is if you're not able to make a distinction between your car and a real person or your horse, so the human and you talk to things like your blender in your kitchen as it were a living object, well, be aware that you could also have the same behavior pattern with an AI, and that's not always healthy, but it is happening. I need to mention that workflow is what we're picking up when we go through this module, this training program, authenticity while working with these tools is important, and your ability to create practical workflows with the help of AI is critical. So this week, I'm just mentioning in this small little slide that I normally start with handwritten notes. I know Maria and I work in the same building, so she might have seen me scrolling on a piece of paper about what I would like to cover tonight, I use electronic updates that come to me through two apps that are AI helped though AI helps fabric, then AI helps Instapaper, and then I use cross checking with a variety 
of other tools to make sure I'm not totally out of out of step, and that the AI inside of Microsoft helps me improve the accessibility of this slide deck. So for example, this is what would have shown up this morning in my fabric, I would have saved something about a service standard called the atmosphere prototype. It allows you to connect between different service providers like x, well, not x, but actually Mastodon and blue sky and a few other services. You'll see something from Grace, Leung about Comet, the AI agent inside Perplexity, and there are 15 hacks to know about managing different AI. So I'll share with them, share you, share with you that particular piece of information. And then from instant paper, I'm getting a lot of stuff recently about, hey, look, if the stock market gets too hot because the AI services are maybe overvalued. There could be a problem. But there's plenty of excitement in this space around AI, and your enrollment on this module seems to prove. Look, it percolates all the way down to people who are going to be graduates, recent graduates in the economy, as well as mid career professionals. Today, I want to cover this. I want to if Vanessa's on the call, want to get something from her, Maria, I know you are so quick. Thing from you. We did not listen to the entire clip, unless everybody on the call says, You have I want to play that job. Oppolis Jobpocalypse discussion with the Financial Times, just because it does hit home with a big concern I have, which is there are issues about people the jobs they would hope to normally transition into, and how AI might be a stumbling block now, specifically the AI
an AI love affair, a lot of big companies might be preventing people from getting the jobs. We use Perplexity to challenge what the Financial Times is saying about the Jobpocalypse, and I can't say the word, but the turmoil in the job market, there are some prompting techniques, which, in fairness, I should probably put at the top of this deck, but I'm not, because we use these prompting techniques. So I teach you about using Google Gemini to explore two places. So a quick campfire thing. This is, this is what, why I want to do this now in the course objectives laid out by run EU, I mentioned the word campfire, but I might not have explained exactly where it fits. Now, in the past, I use the word campfire with people to say, please explain to us casually about how you might be doing something with a service or a capability you've learned in terms of this module, I want to make sure you can also suggest how what you're doing might fit a workflow. So it's important that you're the framework of how you work and the system by which you have to do the work. It might be a subscription service your school has, or might be a preferred application your company or your organization has. Those things may use an AI or maybe not. But the idea is that you list what you need to do as an outcome, kind of explain the workflow that goes into that. And maybe say, and here's the app I'm using, and maybe some AI I'm using. So this is how I hope that you could break it down. So Maria, you know the task you have to do, why you might use Canva for it, a sample workflow possible AI that might be on it in your flow of work, and then we'll give you some feedback about it. So Maria, you're on the call, so if you want to take the screen, you should be able to grab it. And just if you have something to say, otherwise, just go full screen and say, right, this is me and how I do it. So go ahead. 
to add anything? Okay, I'm going to go over. I know Vanessa's normally here for this stuff, so this is, let me just put some words on the screen that relate to a service that she's using. So Vanessa's building product inside of a collaborative space called the Kunst matrix, the task she has is grab content that people share in a specific space. It should be why can't? Why couldn't. So she's using a space to share, showcase our work, the possible, the workflow she has, and the AI that she uses, I should probably show you, she would grab things from Google Drive so she would look at stuff coming into maybe the images folder. So several of you would have done an image of an avatar, maybe an avatar with images like food on it. So she would have this stuff. I can see Firoz, thank for putting that stuff in. So she she needs to put some of these images up on the wall. She also may pull these images in from food, which we'll use in another session to find restaurants that work with everybody. And the goal would be, could she? Could she use an AI to more quickly produce what she has to do? So, speaking for Vanessa, what she has to do is grab an image, make a minor resize of some of it, maybe change perspective of it. And it was when she appears at another session I'll ask her specifically about. Is she doing any post production work with it, with an with an AI, or with a tool like Photoshop or some image editing so she may modify the image slightly, just to make sure there's continuity. Image Size are the same and maybe the perspective is the same, and then it would be handy for her to know when she would go into and look for new images. So behind the scenes, we're developing a workflow, and I'm hoping that she does that, creates a workflow which simply gives her an email saying there are two new images inside the o2 images folder, or inside the o2 images Kuntz matrix folder, and then she would know, right, it's time to look at that stuff and hang it. I don't know when it's going to be possible for her to use an AI to actually hang things on the wall of that exhibitation, that exhibition space called the Kunst matrix. But I'll let her explain the next time we're together about how she might accelerate what she's doing. And do appreciate folks that put your images up there from last time when you weren't here, because she will work those images into the space called Kunst and she shows later on the call or ask her to run around the exhibition space, she'll show you that. So last week, I had a problem with the connectivity I was using to talk to the internet. So you didn't have to go through that pain with me, Maria last week, but not every. I don't know if everyone saw the Financial Times video, and it is worth watching. It's approximately 10 minutes long, because it does put an accent point next to something which is a big concern of mine. So I would have worked for decades with young people as they progress into the jobs market, and then work with recent graduates as they moved up one level of expertise in the job that they earned after they earned a university degree. And now there's some real pressure at the lower end of the jobs market across the world, because some companies are saying, we spent this money for these AI tools. So maybe we can make let the middle level managers, instead of hiring an assistant, a person, maybe we can train them to use an AI, and that will be them, their their virtual personal assistant. Now this is happening, and it is creating a tension of sorts, for young graduates to get on the first rung, the ladder of employment. And one of the workarounds for that is to be able to show to a prospective employer that you as a 20 something have the skills that the person in their mid 30s, early 40s would have claimed to have because they've just been upskilled with AI. So that's hopefully what this program is doing. It's helping somebody positioning into the jobs market to say, I have these skills, newly learned under a program that has academic credentials, and I should be able to enter the jobs market as a young graduate could. So anyway, the Financial Times investigates this issue. What they've done is they've made a short video, and what I wanted to do is
play the thing again for folks and then use Perplexity after the fact to fact check it. So the journalists talk about how some jobs are disappearing because they're automated now there's economic uncertainty in the markets, constraining revenue companies have, so they're leveraging the expertise inside without having to go outside to to find a graduate. And I'll play this like it's about 14 minutes long. I'm pretty sure I keyed in the sound, so if this does not play for sound. Let me know it's the job buckets, as explained
the first rung of the job ladder is disappearing, what does that mean for the future of work? I'm Isobel Barrick. I lead the FTS, working at Rand, speaking, presenting and writing about management, leadership, workplaces. In this series, I'll explore some of the most pressing issues around the future of work, and talk to senior leaders about how they are making work better. Human beings are wired to resist change for everyone, the the
openings for graduates are at an all time low. Job listings in both the US and UK are plummeting, and for the first time, on record, levels of joblessness amongst graduates is above the overall unemployment rate. When I met with industry experts a year ago, we talked about the big problem facing recruiters, the skills shortage and the AI arms race, changing the way people applied for roles. A lot has changed in this period, and not for the better. The issues with recruitment are still there, but what has changed is the rise in big graduate employers really cutting the number of jobs they're offering.
legal profession is a sector that's likely to be radically reshaped by AI, certainly in terms of cutting the work typically done by graduate recruits. I met with Julian Taylor, senior partner of international law firm Simmons, and Simmons, who have fully committed to an AI future. So looking ahead, what kind of role will this kind of AI tool play in future? We're just at the very beginning in the legal
employees, we have to accept that our bosses are in a period of experimentation, and we're part of it. Some of them are going all in on AI at the expense of jobs, and some of them are maintaining hiring, especially at the junior level. But for students and graduates, it raises the question of whether University is even worth it anymore. My feeling is yes, if you've got a degree from a top university, that's always going to start your career off on the right foot, but overall, the education system, both in schools and universities, is not equipping graduates and school leavers with the skills and also the critical thinking that they'll need for a future proof career in the workplaces of tomorrow. 
if you look back sort of hundreds of years to medieval times, one of the ways in which young people learned their skills was that they would be apprenticed to a master, and actually often, their middle class families would save up their money and pay that master craftsman to take their young person on. And you know, I have talked to some people who think that maybe that's going to be a model for the future, because if a big company can't really monetize the skills of their more junior people, rather than not hire them at all, maybe, maybe they'll be willing to take them on in exchange for some sort of fee. The alternative would be, you know, a return of kind of indentured labor, which also happened with apprenticeships, whereby, you know, a company can say, Well, look, we'll take you on and train you, even though we can't really sell your skills just yet. But in return, you know, once you're fully trained, you're going to need to stick with us for 10 years or whatever. It's interesting to see how these sort of super modern problems are having people reaching into the history books for potential solutions. 
use it. I'm just going to show you another video where comet is going to be something to say, download. I'll download it, and it tells me how to install it. So I'll let it, it is downloaded, and I'll do that later. But comment is an agent, and I can run the agent on the back of my Perplexity and it can can do things. So now I think I have an account with Google. If not, I'll just sign in as myself as with Google account perplexity.ai I actually typed in perplexity.com but perplexity.ai where I am, and I'll use a run that same prompt. You know, what does the AI arms race mean? It's telling me, if I'm a student, I can verify and get free pro so if you folks are on this service and you have a anyone, any of the EU are run, eu addresses should work for a free pro account and student features to verify, I had to click my verify now and then. Have to go over to a student URL. But this is showing me that I have a pro account already from a previous login, and now it's saying that the AR arms race is doing the following things. I'll do a summary here and put it in so I can share this with that URL, and I'm going to pop that URL into the Zoom chat, so theoretically anybody could go to that URL and see the result that I got back. Okay, so I want folks, I want you for the sake of running this task, fire up an instance of Perplexity, put a relevant prompt into your Perplexity as a means of fact checking what you just heard from the Financial Times, or trying to Find more information about an item that you heard mentioned in a previous 14 minutes that raised your concern or that you want to have verified. If you're being cantankerous, then you can put something in the prompt that takes issue with the reporting standard or the authenticity of the job recruiters or whatever. So you throw that in. Now, if you're well read, you may know there are some holes in the research that was presented by the Financial Times. Not big problems, but there are always, there are often more than one side, there's more than one side to an argument or a premise. So the Financial Times is going down the pathway of saying there are going to be entry level job problems exacerbated by the rise of AI. And they went out to prove that point. If you want to take the opposite track, then you'd be looking for proof that the jobs market hasn't been affected by this, or that AI is actually on the way to a gigantic explosion of failure. So a few prompts into the Zoom chat, please use Perplexity to get an answer. If, when you get an answer, you can share the URL. That'd be, that would be, that would be brilliant. Not everyone's going to be able to share the URL, in my experience, but see what we can do. And I want to learn from the prompts you put in. Later on in this session, I'll discuss how to maybe make a better prompt, or how to make a really better follow up prompt, but at this point, we're just going to bang in a couple of things. What was your question, though, summarize, summarize the video. Okay, all right, did it find the video? Or did you use the URL of the video?
tasks you can ask Perplexity agent to do for you. Now, I know privacy is a big hesitation when it comes to Perplexity AI browser. I think first, we all need to understand that for an AI browser to be useful and effective, it needs context from a browsing and that means it has to access to certain extent of the data. Though, I can see that Perplexity Commerce does collect more data by default, but there are ways you can minimize it. 
do with the permissions you give, but there could be issues as you do it. So I'm not I'm just saying, be aware. This is one of the things that happens when you activate a service, and then you let the service so first you can ramp it or run unhinged on your work. Okay, so I was we did this. We asked Perplexity of how to do the work. We shared your prompts in the Zoom chat, and maybe did a few other things. Okay, some things about prompting. I'll give you 10 prompting techniques worthwhile. And next year, next week, I'll give you some other perspectives on it. If you're going to prompt, you need to tell it what you want, identify clearly. You need to summarize something, generate ideas, solve a problem, if you offer a very precise goal that's going to give the AI clear purpose, and it's foundational to prompt effectiveness. Be clear about what you want. You create a practical workflow for me getting a job in the era of AI with a company that is not hiring new graduates at the moment, help me specify my skills that can ensure I get approached
for an interview. Second thing prompt frameworks are important, so I'll talk to you in a later lesson about how to set a goal. Provide context to the AI. How to source where you want it, to source the material and the expectation that you have for the result. Another acronym is a star, the situation you have, the task you have, the task you need to accomplish, the action you want to activate, and the result that you hope so if you have a framework for the prompt engine to analyze, for the LLM to execute, that reduces a lot of the complexity and simply allows layered and conditional logic to work on what you're asking. Number three, be specific, be descriptive. So if you need to have text that you're going to use to generate images, if you're in your and you're vague, you're going to get unpredictable results if you're clear and detailed with the descriptions, especially by offering descriptions that define what you want, the style in which you want it, and The context that you want to have in the result, the text result, the image result, or the video result, you're going to get significantly better outputs. Be specific, be descriptive. I rarely stop at the first prompt. I iterate by offering multiple prompts to an AI. It's rarely a one shot process before I get a result that I trust. So it's like I talked to someone I just met. I might be at an Irish pub, going back and forth, prompting, talking to them, finding out what kind of work they do. I rarely stop at the first question, hey, what do you do? If the person says, I'm a solar panel installer, I'll start asking that solar panel installer about what kind of panels, what kind of wiring, what kind of roof layout, what kind of inverters to use, because I want to refine my understanding about what that person is same way talking to an AI, you're going to follow up with a prompt, look at the initial outputs, and then refine where you want the output to go. This is iterative. It's conversational. It allows me to zero in on what I really want to get from the AI without necessarily knowing when I started what I need, so I make successive adjustments which should improve the accuracy of
the information and the relevance of what the AI tells me iterate with multiple prompts. This is one reason why I asked people to maintain a prompts notebook so it can see that you actually did iterate. You weren't helping. Happy with the first result, yes, the follow up, and maybe use a different AI for the follow up. I specify what kind of result I want, how I want it styled, bullet points, list, table, paragraph, academic research. There's academicians vote and Sharma say, if you highlight the kind of structure that you want back from the AI, you're going to get better formatting, clear result, and potentially the kind of thing you can copy and paste into a form for an abstract for a funding mechanism, or for like bullet points on an agenda for a meeting, or some kind of a format, like an academic abstract that you need for professional paper. Number six, give the AI a role and a scene for context. So I tell it a chat. GPT pretend you're the marketing manager. You need to get a brief for a Christmas exhibition in a multi purpose venue that's going to attract the tour operators and casual visitors. So it's thinking now as a marketing manager, it's going to contextualize. It's going to listen to the contextualization I gave in the prompt to allow this thing called conversational pedagogy, which means more meaningful interaction with the AI. Set the role marketing manager, set the context where they're going to have the result, apply the information that the AI comes back with role scene context number seven,
be aware of the fact that the response you get may not be most current thing. That's okay. You can use another AI Gemini and Perplexity normally gives you back stuff that a simple chat GPT prompt won't come back with a chat GPT has gotten a lot better. Copilot is not not as good as chat GPD for relevant stuff, but is relevant, but not necessarily for yesterday's news. If you can think by that you want to get a browser and an LLM combined to get an answer, then just know that the information you get back might need another piece of technology like Grace Leung was saying, may need comet to look inside of the tab structure you have for follow up information, to get the most current responses and references, just so just know that what you get back may not be as good as reading yesterday's news or financial times. It may be two weeks old, month old, a year old, depending upon where it got. The information you need to check the sources, and the AI should provide you the sources. So chat GPT will invent responses. Chat GPT may make up answers you're responsible for the information your AI comes back with. So if you're given something forward as a 50,000 euro answer, and you haven't cross checked it against another large language model or Google Scholar or some other mechanism, you're the one that's going to feel the heat. I have been misled by information that chat GPT said, that I wrote and published. I have seen chat GPT tell me things I did not say, because it's just the way the AI works. It starts to fill in the blanks in strange ways. Just know you're you are responsible for checking
the sources, and something that comes back seems really outlandish, cross check it number nine. Don't overload the poor, AI. So if you're deep into a conversation, by that, I mean more than like 10 prompts trying to follow up and get information, you may confuse the model. So what will happen is something that Brandon Robinson from the university Adelaide, point out, that too complex of a prompts sequence starts to cause either hallucinations or this affirmation mechanism, which the AI starts talking to you as, oh, you're, you're the God, and you know so much, and you're really good, it's it's sycophantic. So just know that if you overload the AI with too much of a of info, too much prompting, you could result in getting stupid answers coming back. And finally, experimental studies have shown that, you know, participants can write prompts Well, it's they have learned how to do this. Well they end up, they end up being someone whose skills, prompt engineering skills, through practice, exposure and iterative learning, learn lead them well down the pathway of future employment and better results. So this is learnable prompt engineering. It's a skill. We'll go beyond prompt 
engineering in this particular course. Okay, what I want to try to do is use Gemini together, doing a couple of things we're going to run right up against. We'll go take this all the way up to 715 here's what I want to do. So the first task is this, use, use Google Gemini to look at the information that's inside of Google Drive. Okay, so it means you need to know where the Google Drive is. I'll put it into the chat prompt, and you simply use Gemini to summarize the material and then share one thing that you that you discovered. We'll do a second thing together on this prompting tool, I'll pop the Google Gemini is URL into the Google Chat. In case you don't know where that easily, you can't easily find Google Drive. Okay? Firoz, thanks for that input you had on the chat. So that's the Google Drive. And what I want to do is I'll show you see if I can share my screen, I can show you me going into it. So go into Google Drive, you'll see me sharing the screen to Google Drive. The top of mind, it says, Ask Gemini. So Gemini can summarize the folder. I'm just going to tap it summarize this folder. This folder. Quick tip, I can ask it about anything. It says, it says it contains 90 files, mostly images, folders, PDFs, and it tells me all the stuff that's in it, and a whole bunch of other stuff. Okay, so you don't have to use that. You don't have to use that same prompt. I'm interested in knowing. I just asked Bernie asked.
too many folders, as you can tell,
to, okay, let's go back and forth here, trying to share into to now Sharing in Microsoft Edge. I'm going to go to copilot.