Doug: Hey, what’s going on. Welcome to the Doug show. My name’s Doug Cunnington. And today I’m pretty pumped. This is an interesting conversation we’re going to have. So I’m going to be chatting with Phil Birchenall and all, and he does a few things. Like generally he’s a business consultant and he works with digital and media companies in the UK advising, training and consulting.
He spends about half his time or so. Around AI training and speaking and getting involved in projects that help inspire people around AI and what you can do. I didn’t know Phil before a couple of weeks ago. He was featured on Forbes and Phil mentioned me in one of my videos.
So Phil, thanks a lot. Cause they actually linked to my video, which was a shock. And I. I just saw it pop up and I was like, is this a real thing? And it was, so we’re going to get into some of the details. We’re going to talk AI in the feature in Forbes was about some chat GPT prompts to help your daughter Daisy.
Right. So can you tell us a little bit about that, Phil?
Phil: Can yeah. Um, and thanks Doug for, I mean, he’s ace, I’ve got goosebumps. Cause it’s one of those amazing conversations that happens because of this stuff, right? Properly cool. So it’s great to be on. Thank you. Uh, yeah, so what it was my daughter, is daisy she She’s a bright kid.
I’m, not just saying that because she’s downstairs, but she’s a bright kid and about a year ago I don’t know how you do you have the sats in canada? Like it’s a It’s a it’s a set of tests that kids do in year It Six, uh, have I said that right? I always get these things confused at the end of their sort of primary school education to assess how they’ve got on as they prepare for high school effectively.
And she was doing, she was doing really well in all of her mocks, except for maths. Um, and this sort of coincided with me. I’ve, I’ve been fascinated by, you know, AI for quite a few years. I’d been experimenting with ChatGPT 3.5 when it dropped. And then this whole thing about Daisy’s maths coincided with ChatGPT 4 arriving.
So before I even thought about using AI with this, I I did the dad thing of it can’t be that hard. This stuff like how can maths be that hard? I did it years ago. Like, I’ll just work out the problem areas, and we’ll buy a revision book, and Daisy and me will sit down on the kitchen table and go, and go through all this stuff, yeah.
And, I don’t know if you’ve seen the film The Incredibles 2, but there’s a bit in it where Mr. Incredible is in exactly that position with his son, and he’s trying to sort of explain how, Maths works in his head, and his son is getting completely bewildered because obviously it’s completely different how it’s done now.
I had exactly that same moment, and And you kind of think, my god, I’m a bit of a failure here. Like, I don’t get called in to try and help on school stuff that often, right? So, and you think, I must, I can’t, you know. So anyway, with GPT 4 coming out, I was really, like, I’d been doing some interesting things with it, and I’d got a bit of, I mean, this is literally in the first couple of weeks of, of, of, of GPT 4 being out, and I’d really got curious, I’d read that you could get it to take on certain roles, and in my weird, random head, I was, I was like, I wonder if I could sort of make it be an AI Maths tutor.
And if I fed in all of this stuff about, you know, the problem areas that she’d got, like long division, multiplying fractions, cube numbers. So that was my sort of thought, my initial thought process. That was sort of late in the day one day. A year and a month ago. And I got, you know, I spent the evening trying to work out how this would come together.
And it was kind of by digging around online that I found your channel. And you, you done. Cause I’d sort of I’d seen you could get chat GPT to take on these roles, but I didn’t have a clue how you might approach that. Um, and I found one of your videos where you talked about basically there was two sides to it that, that really sort of were spot on one that you’d sort of created a prompt generator so that you can sort of.
Give ChatGPT a relatively short amount of information to start off and get it to generate a really detailed prompt. For you to then iterate. So there was that, but also how you were using it. So I think from the examples, I can’t remember exactly, but some of the examples that you use and were forcing it to act as a, in a particular role.
I think it was like training or what have you. So I found that video, followed what you’d said and did this whole thing where I kind of took that prompt. Then started, or the prompt generator, then I started feeding in the information about Daisy, about the problems she was having, that she’s 11, she’s in the UK, that she’s got these challenges with maths, and then, then I said, by the way, she loves a laugh, she loves having a joke, and she loves dogs.
And, This was relatively late into the evening by this point, Doug, but she came back from school the next day. I said, I’ve done this thing. She already knew about ChatGPT, because I’d been, we’d been working together on little things. And I said, I’ve used ChatGPT. I’ve not run this, but I’ve used This stuff that I’ve learned online, should we give it a go?
And we ran it and it blew me away. It blew me away. And it, I mean, I could go on and, and, and we’ve got more to talk about, but it, it literally took everything from that initial prompt generator stuff that, that you’d sort of given me inspiration on to all of this extra context about, you know, her particular situation.
I’ve got the screen cap somewhere, but it basically starts off with a joke and then it starts off then describing long division as it’s done in the UK in the SATs exams and it just worked beautifully. And that was the moment going through that process that evening where I just. It really hit me how powerful this stuff was, so thank you.
It, you know, it really, it just gave me that steer, and it, it, it, it was an amazing sort of eye opener to what we were, we all of a sudden have our, had our fingers on.
Doug: Okay. Awesome. You’re welcome. And, and I think just to set the context for folks, I mean, like all of us trying to learn AI, like we’ll, we’ll watch some other channel.
We’ll read some stuff. We’ll see what someone does. And then. We’ll emulate it and then we’ll add layers on top. Maybe we’ll pick a few people and then we’ll add multiple layers. So I’m sure I saw like specific things done. And then it was like, Hey, you could do this. Let’s take it a step further. It just is a quick, you know, a lot of.
There’s a lot of side hustlers or entrepreneurs out there in the audience. So maybe you’re like, I want to get business coaching from Tim Ferris or something like that. There’s a huge amount of content that AI tools have been trained on from Tim Ferris. So you could basically get coaching like, Hey, what would Tim Ferris ask me about this?
Like where are holes? And then again, you could. Make it any expert you want, whether it’s math or Tim Ferriss or business or relationship coaching or whatever, and just go from there. So that’s awesome. Now, what What was the situation like getting contacted by Forbes or how did you get hooked up with them?
Because it’s, it’s obviously a big publication and a lot of people are thinking like, how on earth did someone get, you know, I mean, this is a story that we’ve seen a lot of times, like a lot of people have done it, although mainstream is not big, but in our little world. A lot of people are like, I’ve done this like a hundred times over, who cares?
Yeah. So how’d you get in there?
Phil: Well, another sort of set of happenstance, you know, lots of things that converged together. I, um, it was basically through a guy that I know who in a very similar way has, Majored on AI in the last 12 months. Come, came from a tech background in education, but then really majored on AI because he saw the potential.
So, so a big shout out to the, the, the guy that, well, he now writes for Forbes as one of his many roles, but it’s a guy called Dan Fitzpatrick. He was based in the Northeast of England. And really has become, you know, the go to person in education and AI. So he was, he, he’s again, layers on layers.
So yeah, we started working on a project that didn’t come together about two years ago. So I had this project idea that was kind of, really great. But for whatever reason, it didn’t come together. Uh, and we kept that dialogue going. And we both hit the AI thing at the same time. And I’m going, he’s going, isn’t this incredible for education?
And I’m going, isn’t this incredible for business? So we like, you know, it, it, it was one of those things. So when I, when I did the AI math sheet to the first person I sent it to was Dan. Because I knew he’d be as wide eyed about it as me. Because I knew he was out there talking to educators and, and.
So that whole thing, and, you know, he got the, the contractor worked with Forbes and was just about, he was kind of going back through the conversations he’s had over the last 12 months about who was doing what and, and, you know, God bless him. He picked up the AMS and I think the thing was Doug.
is because it’s so relatable. I mean, there’s no, like you said, there’s no magic in it. There’s nothing, there’s nothing incredible about what I’ve done there, but that’s the incredible thing. You know, it’s just about imagination and looking at a problem and being able to see that with a certain set of actions, you can create a solution that you wouldn’t have been able to do without that.
So I think Dan really liked it as a story because it, it, You know, it’s about, it’s a, it’s relatable content and we all love relatable content. It’s like, literally The article got published. It’s had something like twenty, twenty four, twenty five thousand page views, the story. Like, loads of people have shared it, and you know what the most, often me and you meeting up and doing this, having this conversation, which is incredible.
But the amazing thing is that the amount of people that have kind of shared it on, like, LinkedIn, and said, I’ve tried this now, following this article. I’ve tried it, or I’ve tried something similar. And that, and that, that’s the, that’s the exciting thing for me, that people feel inspired to get on and, you know, how could I apply that in the same way that your, your video inspired me to go, I can put that information to use in this situation and then hopefully it’s done the same, you know, with, with, you know, and that’s, You know, I think that’s, that’s really exciting.
But that’s where we’re at with technology, isn’t it? With AI, it’s, it’s giving us these things that we’re, we’re all playing catch up with the possibilities. So yeah, that was, that, that, that was it through, through my my, uh, good time. Good pal, Dan Fitzpatrick, who okay. He’s, he’s, he’s very cool.
Doug: The old-fashioned way you have the inside track, like it’s hard to recreate.
You have to be, be a friend and work on something for two or three years. And then
Phil: then the opportunity comes through and yeah, exactly that. But I think it’s the right timing, you know, cause yeah, you know, that, that, that, that sort of put it to the kind of audience that Forbes allowed it.
Doug: The other observation is.
Because it is normal. Again, we’re in our own little weird bubble of marketing and business and entrepreneurship and AI. So we, we see things for like. 18 months and then it becomes more mainstream, but it’s so normal and regular that people before were like, I don’t know what I’m going to do with AI, but now you’ve given them an application that is really applicable for, you know, standardized tests.
Basically is what you’re talking about. We have a different version. Yeah. Um, but basically people can see that it is useful on a real day to day basis. Now let’s shift gears. So that was, you know, GPT 3. 5 and then four Oh, and we’ve seen incremental gains. We have GPT four Oh, at the time that we’re recording this, it’s like pretty fresh.
Things are rolling out. So what. Excited you most with some of the updates. Cause there’s some pretty groundbreaking stuff and I’ll, I’ll leave it kind of open, but if you can’t, uh, bullet pointed out before you go deep on any of them.
Phil: Totally. Yeah. Yeah. I mean, I think that the big, well, apart from the Scarlett Johansson thing, which everyone will have read about, this is the thing, isn’t it?
The headline is Scarlett Johansson. So if people don’t know one of the preset voices on the update, Even on the previous version of this is modeled similar to Scarlett Johansson, and that’s, you know, obviously problematic, so we’re not going to go there, but beyond the headline, what’s incredible, there’s quite a few things, right?
One is the voice conversation stuff. Now, the last version of chat GPT. Chat GPT for sort of six months into the update, maybe October, November last year. My God, this all is so quick. Isn’t it? They already updated the paid model with an incredible voice conversation feature. Which can be, it’s pretty sucky today.
I’ve been using it for something and it’s been absolutely terrible, but there’s some outage, I think. But day to day, it’s really cool and it’s, it’s worlds apart from the, I’m not going to say them because lots of devices in my house will start pinging, but the Apple and the Amazon, uh, voice activated speakers.
So already the voice functionality on this stuff was a problem. Pretty cool. But if you dig around on the open, a open AI website, there’s some demo videos where the emotion and the ability to take on again, different voices, not necessarily different voices, but different styles of delivery. So there’s things like, hey, sport, hey, speak like a sports presenter or talk like a robot, or does, does, does it just starts to feel incredibly lifelike it goes beyond what it was already.
This is with GPT 4 0 for Omni into this sort of thing where you feel like you are pretty much. I mean, some of the videos. There’s one on the OpenAI website where, sorry, the other concurrent thing, because this stuff is now multimodal so it’ll take input from audio and video and text all at the same time.
So, a couple of the videos demonstrate that. So there’s one that I think is really good. It’s sort of buried. But the one I think that just shows you exactly all of this stuff beautifully together. There’s a guy that brings on a little puppy. And he’s got his phone in front of him. The phone has got obviously chat GPT four row running.
It sees the puppy and it, and the guy says, Hey, I want you, I want to introduce you to someone and he puts the puppy in front of the camera. And then, then the the voice goes, and I’m not going to do this here cause I’ll embarrass myself, but it sort of goes, Hey, wow, look at this little cutie and it brings on a balling, Oh, look at the, with the ball and the It is that is the one video that for all the sort of practical application kind of stuff that they try and Did they show you that’s the one where you go?
Wow, there’s there’s something in front of this device And and that what it sees is a changed The way the conversation goes and and it’s it’s so it’s not just seeing a dog with a ball. It really is getting into that emotion of what you might be like. So just to caveat all of that. Is that functionality isn’t yet the late, the updated version of that isn’t yet rolling out what they’ve rolled out so far is the kind of more nuts and bolts backend updates to chat GPT 4 Omni.
But even there, like, I don’t know that you thought you felt the, you know, when you’re using that new updated model, it, the responses are getting better and better all the time. You know, it’s just the. You know, the leap between 3.5 and four as it was, was pretty notable. And again, I think it’s pretty similar.
Again, the thing that I worked out the other day, and I think this is the one where it starts to get like pretty profound if we’re really starting to think about what this could mean. I worked out that the, the, the context that the, the newer model can store, if it was a conversation. It’d be able to store and recall 19 hours worth of human conversation.
That is off the charts. Scary as heck, but also, and that, you know, I think that’s like quite a significant upgrade on the previous one. So just the amount of stuff that it can deal with that’s unique, you know? So, And of course, the really exciting thing is that none of this now, all of this new stuff, basic access to it, is free.
So, you know, all of this stuff, whereas previously you had to pay for the pro account, which is only 20 a month, but, which, nothing. But now it’s completely free, so, you know, literally, you can talk to students, well, you have to talk to students and help them think about these tools ethically. It’s free. But you can give young people, my daughter, my Daisy, I will shut up in a minute.
I’ll let you ask another question, but I just, this is, this is what, this is what excites me. I did a presentation to a bunch of writers. So like script writers, novel authors, that kind of thing. A couple of weeks ago, it’s the weekend and Daisy came with me. And I don’t normally drag along to everything.
She came along and sat in the audience, and I gave her this example of one of the really, even before the maths tutor thing when I was first using chapter EPT4, and it reminded me, I’m ancient Doug, like, I, I grew up in the 80s, and, For me, my first experience of computers was text based computer games, like literally nothing on screen.
And concurrently, I used to read choose your own adventure novels, which would give you the illusion of some control of what was needed. So these two things, like, like my 80s kind of thing. So, when I first got my hands on ChatGPT4, one of the stupid, stupid things I did was to create a text base Choose your own adventure game via a prompt set in a world of a British sitcom from the seventies called Fawlty Towers.
Love the show. Some of your Yeah. I know that show. Yeah. And, uh, again, cause I, you know, when I wasn’t playing, you know, choose your own adventure games, you know, back, back in the day, I was probably watching Fawlty Towers. So I put all of that together and it was one of the first experiments. And I literally could play it.
Choose your own adventure. As Basil Fawlty, with these many, many mishaps and things. So this, I thought, I used as part of this talk to writers, because obviously what you don’t want to say to a bunch of writers is this is a technology that’s going to replace you, because it won’t, because art is art, and you know, but I showed this example, it got a laugh, and then we got home that evening, Daisy’s on the phone on the lounge downstairs, and I said, what are you doing?
What you doing on your phone Daisy? I’ve followed what you did in your presentation. I said, what do you mean? I said, I’ve created my own adventure game based on The Hunger Games. And she’s banged into it. Well, then she was into The Hunger Games. Now it’s Harry Potter, weeks later. That was the thing where I just go, my God, you know, she’s there.
She’s there. As a 12 year old kid, as she is now immersed in this stuff, taking these daft cues from me, what does the world look like of these young people coming into employment in the next couple of years with a native? So it’s generation generative AI. That excites me. I’ll shut up now.
Doug: That’s pretty good.
Yeah. I was going to say, I’ll have to ask you the last question now, just to make sure you have enough time. It’s great. No, I mean, you hit so many, so many wonderful points there. I haven’t really dug into 4. 0, the GPT 4 Omni version, and I think we’ll see the incremental sort of changes as they roll more stuff out.
And I think they’ve been pretty wise about testing and making sure like things don’t break. Some of the earlier versions, when things got more popular, of course, things did break a little more often or the response time was slower, but we’re seeing some really great stuff. So I create videos, right? So I’ve published probably a few dozen videos on chatGPT or AI related stuff, but I haven’t pursued any sort of speaking gigs. And I know there’s a lot of folks who have a pretty good level of expertise with experimenting and, you know, we’re not necessarily.
Thinking, Hey, you’re going to go out and show writers exactly what to do, how to write scripts or whatever. You’re just saying like, here’s a wealth of possibilities. How did you land some of these speaking gigs? And maybe you can give some tips. Cause I mean, the thing is like, it’s, it’s abundant, right?
Like we’re not going to be competing. Like if you tell us all your secrets.
Phil: 100 percent no. How are you getting this? I completely agree, Doug. I think for anyone listening, unless you’re in Manchester, in which case, stop now. No, I don’t, I think there’s room. There’s tons of room here. And I think from, from my point of view, the speaking gigs have kind of come from, God, I don’t really like to think of myself as having profile, but, so I don’t.
But in my. In my domain, working with creative, digital, TV, media company, I’ve got a good network. So it’s almost like the day job had prepared me for this pivot. You know, so, you know, I’ve managed, I’ve just been able to go back. Well, not actually go back. Again, it’s kind of by doing this stuff and presenting it in a certain way, this.
Landed me workshops and presentations and stuff like that. And then almost spurring, I was like asked to do a session for a universe, a college in the UK first asked me to do some training in like, it was probably June last year. So like only not long after GPT 4 and, and it kind of really aligned.
It’s like, well, I, you know, I do train in anyway. And this is really exciting. You know, like what, like, man, I could do some training on AI and help inspire other people and that was it. You know, getting one gig at a college and then a universe we call uni, universities and colleges different, you know, so then it got a gig with a university and then started being approached, I mean, and not in any, there wasn’t any, there’s no.
Big master plan it’s it’s just I tell you the one thing Doug has just been the content It’s been and not like we we touch on this just before the call. It’s like the difference between showing the difference between Telling people you’re an expert or showing people some cool stuff that you’ve done And my thing is the let’s show people some cool stuff that we’ve done because then Then it’ll spark some imagination and inspiration and stuff like that, rather than me wagging the finger to say, this is how you use generative AI.
And, and, and that’s, and that’s, I have fun, like literally I’m charged up even on this call and I, when I’m doing presentations, you know, I’ll, I’ll be focused on strategy, but I’ll also be having a lot of like, what does this mean strategically for your organization or the future of your workforce, but I’ll be having a lot of fun while I do it.
And that is how you, how you get people on board, because I think that the challenge we have in this in, in, in, in doing AI presentations, workshops, etc. Is there’s a lot of. fear out there, isn’t it? You know, like loads of people are kind of the message. And I don’t know if it’s the same in Canada as it is in the UK.
But you are in Canada, aren’t you?
Doug: I was about to say I’m actually in the US, but we’re very close. Super close.
Phil: Sorry, showing my complete ignorance there. Sorry, Doug. But you know, you know, I guess it’s the same you like the the prevailing message outside of our bubble. Is about AI being bad for jobs, bad for education.
It’s bad for politics, which I kind of agree with, but the prevailing message is negative, negative, negative. And then you speak to people outside of our bubble, and quite often it’s like, oh gosh, you know, AI. Ooh, no. And, you know, I think sort of, that’s why, that’s perhaps why my approach of, let’s, Look at some experiments that I’ve done.
And then think about how that applies to your business and what, what these mean for your business is a softly, softly approach. But, but I do think there’s, there’s so much scope for people. Being consultants, being guides, not professing to be the expert because no one is, but the guide, the mentor, everyone always wants the mentor.
Right. You know, the hero’s journey, people want that mentor. That’s going to help them on their journey, you know, and that’s, that’s the role, you know? I think there’s a huge opportunity in that.
Doug: So, as we’re coming up towards the end, we’ll, we’ll put a pin in all the other stuff that we want to talk about.
But, you mentioned, you know, speaking to students your daughter’s a student. How, how do you think, or do you have any thoughts on how Students can use AI without cheating or, you know, you could take the other position like as Administrators like how do you foster the the capability of AI? While still like teaching what you’re supposed to any ideas?
Phil: Yeah. Oh, I tell you what I think about this so much and I think it’s because You know, I’ve done so much in education. I’m not an ed, my wife is a, uh, educator. Um, and you know, speaks a lot to people, lots of people, lots of staff at colleges and universities. And I think the big thing is, right, this is how I see it.
I did a, I did a session for some like, 17 year old students last week. And this stuff right now, you can cheat with your college work. You can cheat. But I can’t, I’m not going to, you know, this already. Like you could cheat, you could, your, your college tutor can ask you to do something and maybe you could just put that into chat GPT, get it to write it, submit it, there might be a bit of a question mark whether you’ve used AI or not, but ultimately nothing can be proved, right?
So you can cheat! It’s fine! Go ahead and cheat! But, the problem is, you apply that approach, The minute you join the world of, world of work, so your boss asks you to do, I pointed to, there was someone on the front row and I kept pointing to it the other day during this presentation, I had to apologize at the end because I was going, you go, you go and do this in your, in your, your job, you know.
But the point being, if you, if you have that same approach, and your boss asks you to do a report on X or Y or to do this or that, and all you’ve ever known is just being a journalist. Putting it into a generator IAI tool and it spitting out a thing and you presenting that as your own. You are categorically the first person in that line when jobs are being automated.
Because why do we need this person? Whereas, if you’re a young person able to integrate this into how you work, That you’re not using it to write the thing. Maybe you’re using it to think of a structure or how to take the question, the essay. How do you reframe that in a way? Do I understand that? What does that mean to me?
You know, it’s those sort of things I really passionately think because your students can use this, you know, students that can use this as part of doing things better. You know, doing a better job more efficiently, but finding new, the new solutions coming into a business and going, why the heck did we do it like that?
Can’t we automate some of this in an ethical way? That, and you’re only going to get that if you apply that to how you work right now. It seemed to get apart from this poor girl that was pointing out, it seemed to really hit home that message because Like you are you can just use it to cheat but you’re not going to be able to do that in the world of work without Being first out the door the opportunity My goodness, like if you and I you and you and I were You know 16, 17 right now with all of the stuff we know now With these tools my god, we’d change the world You know and the world of work the world of the way we do stuff You, obviously there’s so much alongside that we’d need to worry about, which is whole nother like chat.
But, you know, and, and that’s even before you even start to think about, my big thing at the minute is like, these are the kind of things we can do natively within chat GPT on a browser or, or the, the, the, the app. But you can build stuff on the APIs, my God, right? Like. I would quite happily speak to, I’m sure they, they contemplate this already a lot, you know, but if you’re a big retailer or a big education, online brand, or you’re this or you’re that, to be now thinking about how do we build the solutions of tomorrow using the APIs, building it on ChatGPT APIs or whatever else that the fact that we can plug into this, this voice stuff and this visual stuff and this, it changes everything.
I mean, like I said, I get the whole thing of the web, like the, how we interface with this is, and this is a whole nother thing in itself. But we’ve been used to keywords for 25 years, just as consumers and as, as the, as the infrastructure that supports that. But like. You know, the minute More of a mainstream audience turns to a tool like chatGPT because maybe it’s baked into the next version of ios Which sounds likely?
When people do that and don’t have to use search engines in the same way everything we know about How we reach people online change or big bits of what we you know That disruption and I think that’s what’s really exciting. We all You know If we just cling on to the ways that we, the, the ways we’ve done stuff for the last, however many years, we’ll, we’ll be at risk of automation.
But if we go in, my goodness, what could we do with this stuff now? Then we’re creating the future. And that’s why I get excited as you could tell.
Doug: Yeah. I mean, there’s so much. Possibility and we’re kind of just, I mean, we’re really at the tip of the iceberg, I think, even though it doesn’t seem like it, especially when we see all the progress that has been made in the last couple of years, but the competition helps with like Gemini and then like anthropic and like, there’s a couple other players out there doing a lot of, a lot of big stuff.
So. We’re short on time, so we should probably wrap up here, but we’ll definitely we’ll schedule something again soon. I will, I’m going to ask you two questions, which is a little sin, but I’m going to rely on you because we’ve got a hard stop. So what’s something that you’re excited about that you haven’t explored yet?
Maybe with Omni, maybe with just like, Some seed of an idea that you have, but you haven’t really developed it. And then the second part is where people can find you. You have a YouTube channel, you have a podcast. I’ll give you a chance to mention those if people want to connect with you a little bit more and see what you’re working on.
So two parter first part, what are you excited about it?
Phil: With Omni, oh my gosh, I cannot wait until the voice and visual stuff rolls out. I’m trying to think of a, like a demo project for it. And I’ve not quite got there, but I’m thinking of, with my, I’ve kind of got a background in working in TV and in TV, everyone’s always on the lookout for the next big game show.
I’m not going to say I’m going to create that. What I’m kind of interested to do when those tools drop, how can you create a game show format or a pretend game show format that uses that stuff that I could demo on my desktop and people would go, Oh my God, we’d not thought about how we could use this in telly.
So that’s my, I’m still not, I’ve been speaking to a few TV folk that I know, so I need to. Keep on with those conversations, but it’s like, like basically making a desktop pilot just feels like an incredible thing, you know, using the, the visual and the voice kind of thing and adding tension in the voice of the, the, the, the quiz master becomes, you know, more animated and what have you.
I know it’s, that’s my beyond more practical applications of that. And like I say, I think the bigger picture is, is, you know, What people do when they finally realize that we the web technologies that we can build on Are completely different than the web technology that we that we use right now.
That’s that’s that’s the Mind blowing bit for me. So yeah, that’s that and where people can find me I’m on Instagram and X as just Phil Birch and all. So I’m sure you’ll put my details in the thingy. I do a podcast it’s for middle aged men because I am one. So it’s kind of about sort of, the issues you kind of, practical mental health, those kind of things you go through as you reach middle age, which is called Talking Cod.
Yeah, there’s a whole story in the name. My YouTube channel is where I put my like AI experiment videos. And that, that’s just , diagonal thinking. And my website is diagonalthinking. co.
Doug: Perfect. Phil, this has been really fun and we’ll get another date on the calendar. We’ll link up so people can find more.
We’ll also link to the Forbes article so people could check that out and just see like how, like how simple it was. And I’m glad, you know, you connected after I did a follow-up because Forbes. Thanks to Phil. So full circle.
Phil: I saw the email in my, yeah, your newsletter. I’m like, my God. I was like, Oh, that’s really, that’s a really strange coincidence.
Cause I was in Forbes this weekend as well. And I opened it and was like, of course, that’s what’s happening.
Doug: So yeah. It’s you. Thanks to you. All right, buddy. Appreciate it. And we’ll catch up, uh, real soon. Yeah.
Phil: Cheers, Doug. Thank you.