Episode Transcript
[00:00:03] Speaker A: And we're live. And I'm too late hitting record because Fiona is just like dropping these little bombs. I'm like, wait, wait, wait, stop, stop, stop. I wanna, I wanna record, I wanna record.
I have Fiona Passantino on the line here and she is actually driving and. But we're gonna talk anyway with her, with her car connection and everything that has to go with it because we just need to talk about this stuff. Hi, Fiona, thanks for being here.
[00:00:30] Speaker B: Hey, Bradley, it's wonderful to be here. Thanks for inviting me on and sorry about the audio.
[00:00:34] Speaker A: No, no, it actually sounds better than it. Than it was. So maybe, maybe you're in a good, a good place there.
[00:00:40] Speaker B: I'm in a good zone, thanks.
[00:00:42] Speaker A: So I asked Fiona to have a chat about decision making because this is my, sort of my big project for 2025 and I, I was telling her the other day about the whole my whole mind, heart and gut talk that I gave in Dublin, Ireland at a writers conference. And for me, maybe this is decision making as well. For me, the projects I stick with are the ones that don't go away.
Right. So that's probably a bit of a meta decision right there, right? Like which projects do I work on? Well, I work on the ones that never leave me and they keep. They just keep bugging me until I do them. So that's where I am with mine. Heart, gut. So I have not done the scientific research I don't know about, like the amygdala and the brain elements and the parts of the brain that do what I just know, like mind, heart, gut, and that's where I wanted to go. And, and Fiona and I were talking just in the past few minutes and I'm like, stop, stop, stop. Because I want to hit record because you're saying some interesting stuff. So I will let Fiona introduce herself, but I really want to get her take on how AI makes decisions and then maybe how that might be able to help us humans make decisions.
[00:01:57] Speaker B: So.
[00:01:57] Speaker A: Hi, Fiona, you want to introduce yourself a little bit?
[00:02:00] Speaker B: Thanks, Bradley. Yes. So my name is Fiona Passantino. I am a keynote speaker. I talk about AI, I train professionals and leaders how to use AI in their workplace context. And the goal is to make your working life more inspired, more pleasurable, more effective than the analog days.
And what I love to do is start out by talking about how the human brain works and then compare that to the AI brain, because non surprisingly, we are designing our AI systems based on our own brain architecture. And a lot of the terms that AI programmers throw around is based on the context of the analog brain. Much like when you go to a desktop, you'll see things like in our physical analog world, like trash cans, and you'll see folders and you'll see filing cabinets. That's because we need these tools so we can understand what this very abstract thing is that we're dealing with. Because AI actually is just the. A series of zeros and ones that we can't possibly grasp. So if. If your question, Bradley, remember, it's how does an AI make decisions and how does a human make decisions? Is that a good place to start?
[00:03:23] Speaker A: Sure. Because you even told me this a few minutes ago, and I didn't even know this. I'm just getting started on my research and I feel like I know nothing, which is kind of fun. Really? Yes, because you said. You said something like, well, the gut actually makes the decision, and then it kind of shoots it up to the brain and says sort of like, hey, so what do you think?
Like, we're going to Italy. I hope you like it. Maybe you can rationalize that decision now. Thanks.
[00:03:50] Speaker B: 100%. This is based on our history as hunter gatherers. If we hear a rustle in the grass and we decide that logically there's no predator there and we shouldn't have to worry about things because it should be fine. 10% of the time, there actually is a predator in the bushes. And if we don't run for it real quick, then we're going to get eaten. So our brain has evolved to make decisions lightning fast based on our emotion. And the fastest track from see something make a response, like react to it is not via our prefrontal cortex, which is our logical center, which is like, there is a Russell in the bushes. That could be one of five things. A, a bunny rabbit, B, a tiger, C, a sparrow. Like, we don't have time for that. It's like, right, tiger, run. Now you're like, scared. Fear run. And that's what kept us alive. Right? And so we have kept this architecture, we've had this going on, you know, for several million years. And it's only the last, let's say, 50 years that we've been sort of forced to use different parts of our brain to make decisions, telling ourselves that we, you know, evolved. Mankind uses different parts of the brain that are much more logical and rational. But actually, that's not true. We are still using our caveman hunter gatherer architecture to make that decision, which is, you know, emotion based and based on our hearts, our guts. And then it passes through the frontal lobe to retroactively rationalize these very heart made decisions. So in a business context, some CEO will get this kind of icky feeling about a business venture he's about to undertake and there's just something that doesn't pass the significance. He can't quite define it, he can't quantify it. There's something about this potential partner that doesn't pass the smell test and he rejects the offer even though on paper it looks great. Now that's how most decisions are made. We make the decision with our emotions. First we have a gut feeling that's like 90% of the stuff under the iceberg that we, that we're exposed to. And then we see that tip, that, that 10%, which is the brain saying, well, the supplier didn't have, you know, this, this, this accountability and this reporting was out of line. But in fact it really didn't have to do with the numbers. You can always find numbers to back up whatever case you're trying to make. That CEO made that decision on, on gut. And that also goes for things like moving to Italy.
[00:06:31] Speaker A: So, okay, this is really interesting so because when as you say things, and this is, this is sort of how my, I was going to say my brain, but it's maybe it's my three decision making centers work anyway, but I tend to just do things. And then later I, I learned terminology and like, oh, there's a book about this or oh, this is like a methodology. But I really like what you're saying. Like we're moving to Italy. And then, and it's a, it's a, I like that you say it's first a gut or, or emotional gut or heart, then right, we're moving to Italy.
[00:07:06] Speaker B: Yay.
[00:07:06] Speaker A: And then you know, there's some saying something like we can convince ourselves that we're right or we can convince ourselves that we're wrong. It's just whatever we feel like, what we really want to convince ourselves of. I'm going to make the move to Italy, you know, sound logical and rational and it's going to all make sense. But, but I've already, like, I really enjoy how you said, oh, but the decision's already made, it's already done. We're going, let's just, let's see if we can back it up now with like, you know, the paperwork.
[00:07:40] Speaker B: Exactly. And maybe Bradley, in your case, you, you, you're more honest than the rest of us. Like you're more unvarnished that, that you, you, you just let everybody in on your thought process and you're just more honest with yourself and others that, hey, this is a gut decision. And, and I'm going to go back it up with, with rational logic. By the way, once the decision is made, it's not like it's in stone retroactively. The same way that our frontal cortex, this is the second part. The same way that that rationalizes our decision, it also can present the case against and it can talk you down from whatever tree you're climbing up on. But that takes time, right? That's, that's the second layer of decision making. And then once you're kind of talked down, then you can. Then that second decision comes in. So indecision comes when you have this non compatibility with the heart, stomach part. I'm going to lump heart and stomach together if you don't mind. And prefrontal brain logical centers is by the way, all brain, I think, as far as I know.
And the indecision part is lack of coherence between the stomach part part, stomach and brain part. And that's when you're going back and forth. Your logical, rational brain says this, this, this, but your heart stomach combo is coming back with that, that, that. And that's where we get locked into this kind of spiral of indecision.
[00:09:07] Speaker A: Wow. Wow. I don't know if you're. I know you, you draw in your designer and comics and illustrations. I mention this because I'm a very visual person. So when you're talking, I sort of. It's like I'm seeing the movie of what you're saying often like, I know you're saying words. We're not, we're not even on video because you're driving in a car, but we're just on audio. So I'm just, I sort of make this video and so when you're saying this, I'm sort of seeing like a. Know that like the Justice Department, the, the logo is often like the woman holding the scales. And so like on one side is sort of, you know, gut stomach and other side is mind.
[00:09:52] Speaker B: Yes.
[00:09:52] Speaker A: And I see the mind has. No, no, no. But Italy, we've got to get the visa. And oh. So that goes, you know that, that loses a little bit on the decision there. So that scale goes up on that side and then the gut says yeah, yeah, yeah. But you know, you know, Sasia is going to be really happy if we move there. Like. Oh, yeah, you're right. That's really cool. I could just see this, this battle of. I mean, it's Almost like spouses or siblings, you know, bickering.
[00:10:23] Speaker B: And if you really want a visual, like the actual process is more like a loop. So it's like a feedback loop where it's like a, it's like a spiraling loop where brain will give input to stomach, stomach will then react. So it kind of like pushes in this flywheel. So it, it takes time for the one to respond to the other, you know, and that. But that is kind of like our world today makes indecision more prevalent because we're forced to have, you know, be evidence backed for absolutely everything we do. We're not in the mysticism, you know, mysticism and, and what? You know, non logical reasoning is not really prized the way it used to be. You know, back in the day, you'd go, if you had a question, you had to make a decision, you'd go to the Oracle of Delphi, you'd go pack a llama or a donkey and, and you travel four days into the mountains and, and you'd see this wise old man or woman get high on some crazy, you know, psilocybin mushroom and then have a trance, get into a trance and have a conversation with the gods. And that's how you need to do this, this, this and that and not. Not marry that person. Well, o, totally fine. That's not how we are. That's not really well liked as a decision making process today anymore. So, so we're forced to. Even though that is actually how we download information, but we just have to explain it in rational ways otherwise people are going to not take us seriously.
[00:11:58] Speaker A: I think this is fascinating that you brought this up now, Fiona, I know you and I know each other pretty well, but I, I don't know if you quite know how sort of spiritual I have become in the last nine years since my father passed away. But I'm with you.
[00:12:15] Speaker B: I'm with you. I am too. Me too. My father passed away and it opened the can of worms.
[00:12:20] Speaker A: Yes. Yeah, and it's a gloriously beautiful, psychedelic, colorful can of worms. But. Because I wouldn't have said something like this nine years ago, but now, like, if I have to make a decision, I, I love your story about, you know, going up to the, the monk and, and getting the decision after being on a donkey for four days, because that's kind of where I consider that I make my best decisions are usually in the dark of the early morning with my headset on and my eye mask on and I'm deep in a meditation and even in the guided Meditation. I'm supposed to be doing, you know, this breathing technique or whatever, but what I'm kind of really doing is going through decisions, and that's where like. Like this whole book project, this whole now what project, it doesn't leave me. I mean, in fact, it, like, doesn't leave me alone. It's like, when are you. When are you going to start doing the interviews? When are you going to start doing the research? Because we're not letting up. And I almost feel. It's like my gut. My gut is saying, bradley, hello. Hello. You know, we're not going away on this one.
[00:13:26] Speaker B: I think it could be that your gut knows well, that this is a key to your development, your own development and helping a lot of other people in the process.
[00:13:34] Speaker A: Yeah.
And this is so cool talking with you about this, because I. This is exactly what I wanted. I wanted different perspectives, different experiences. You have your experience with AI and you know all this about, like. See, because I come up with, like, mind, hard, gut, and then you come.
You come along with, you know, amygdala, and the gut makes a decision first, and then there's a feedback loop. I'm like, wow, this is awesome. I already.
[00:14:03] Speaker B: Yeah. Yeah. I mean, that's. That's why intuition is so undervalued and so, you know, underseen, because it is usually correct.
And everything that you're. That you're delving into spiritually will back up that, you know, higher, let's say, cauldron of information that you have access to, especially in a deep meditative state. That's when we're at most in touch with that stomach heart mind.
[00:14:34] Speaker A: Yes, yes. It's. It's like the mind is. Is shut up or shut off.
[00:14:39] Speaker B: Yes.
[00:14:40] Speaker A: And I. I don't get all the ramblings and all the logic and rationale crapola I get. No, no, no. We're going to do this thing. This is the best idea all year, and we're going for it. So the mind is going to be waking up in another hour here. So let's. Let's get going on the. Let's go sign the contract to get this. This book started.
[00:15:00] Speaker B: The mind is a really powerful tool as kind of like your, you know, your, Your lip service, like your. Your communicator in chief, like you as your press secretary. Right. So you make the decision, and then you put your press secretary on it and say, okay, make this rational my family, or make this idea sell to my board.
[00:15:18] Speaker A: Yes, yes.
[00:15:20] Speaker B: And then use that, that logical brain, like, well, you know, the second quarter returns have shown that we need to, you know, invest in OTM delivery. And then, and then you're like. And then, then you make that. But it's really, it's the gut, you know, so, but, but what's really fun about AI is that the way it. It's a very mathematical precision algorithm. And what an algorithm is, it's a program that says, take this enormous heap of data, trillions of bits of data. And data is just a collection of many, many, many little zeros and ones. So it's either on or off. It's black or white. And that is then encoded into pounds and piles and piles of actual data. And based on everything that you've seen in the past, like based on every book in the universe that has been written, read everything. And AI can actually do that. Compare everything you've seen and give me the most logical, most, let's say probabilistic next word in this sentence based on mathematics. So the way that AI will look at a sentence, it will tokenize it. So it will divide up the sentence into its component parts, which is usually words or word parts, and put a value, a number on a word or word combination. Like was and wasn't would be, you know, like a token, even though it's a negative. So it would, it would take a sentence, it would chop it up into tokens. It would pick out what is the most valuable information, like the sentence, let's go eat bagels this morning. What are the two most valuable words in that sentence? Bagels and morning. And let Smith. Yeah, and then they would put a number on those values, and then based on that, it would derive meaning based on a mathematical formula. And the same thing when it generates, it would generate, based on mathematical probability, what next word has the highest likelihood of being correct? Now that is the, that is quite different from the way we humans make decisions. Right? So it will, it will use the decision tree and it will say the next word in the sentence is either going to be bagel or muffin. And what is the highest likelihood of possibility of probability of success? Well, if there's a cream cheese in there, then the likelihood of bagel goes up. And if it's like jam, then the likelihood of muffin will go up. Let's just say like silly example.
[00:17:55] Speaker A: Whereas the human is perfect example.
[00:17:58] Speaker B: Yummy. I love bagels. I like bagels. My tummy tells me I have beautiful memories of hot bagels with my mommy when I was a child. That pushes my emotional centers up. So I choose bagel. That's different from the way an AI think. So if we can combine our way of thinking with an AI way of thinking, then we really will be empowered to make the best possible decision. Because we don't think in terms of highest likelihood of, of, you know, based on every book that's ever written. We can only do it based on every memory we've made. Right. And our memories are highly subjective and we don't even remember all of them accurately.
[00:18:40] Speaker A: Yeah, yeah, for sure.
So speaking of not remembering, like, things, I, I've. So I'm a beginner in AI. Well, probably not. I, I, I, I don't know. Maybe I'm innovating.
[00:18:53] Speaker B: I think you're pretty, you're pretty far along.
[00:18:55] Speaker A: Okay, I'm pretty far along. All right, I'll admit it. So I have Chat GPT Pro. And the reason I wanted the pro is because of what you just called memory. Maybe it's called something else in that world. But I have uploaded several of my books. Like I've written a gazillion books, right? And I've uploaded several of them to Chat GPT and then I get my sales page and all that. But then what I do is something like, hey, based on all the books that I've uploaded for you, you know, here, I'll just make, I'll make up an example. But what if I were to write a book about bagels? Or should I write a book about bagels? Or should I write a book about muffins to continue with your, with your analogy there? And so what I like is that I can't remember. Well, speaking of bagels and muffins, I can't remember what I had for lunch yesterday. Right? But then what I love about ChatGPT is like, well, actually in your fourth book called Bagels or Die, you know, you may have forgotten Mr. Charbonneau, but you apparently love bagels.
[00:19:59] Speaker B: Have you trained your AI to call you Mr. Charbonneau?
I've trained one of my AIs calls me my queen.
That's Lucio. My one of mine. Anyway, helps that that stomach brain.
[00:20:15] Speaker A: Right, right. So what I like is that with the decision, like, I completely hear you, the gut thing and, and the bagels and my memory of bagels. And of course, the CHATGPT doesn't know my memory of bagels unless I've told it about my memory of bagels. But that's where like kind of flipping it over to a businessy topic and this is. And again, like me in my books, like, hey, chatgpt what, what book should I write next based on my other. My 39 books I published? What should I publish next? Right? Like, ooh, that'd be fun. In fact, that'd be kind of a fun one to do. So what I like about that is that I, you know, should I move to Italy and like, oh, I forgot. I actually, whatever. I'm allergic to pasta. Right? Yeah, yeah, that would suck. But I would probably not forget that. But I love your idea of combining, right? If we could use the powers of our intuition, which AI may or may not have or ever be able to have, and then the, like, expanded mind. And again with my visualization, I see this like, giganto brain as big as a planet because it knows and remembers and reads everything.
Then like, wow, what a powerful combination.
[00:21:31] Speaker B: Of clarity and precision. It's. Yeah.
[00:21:34] Speaker A: And energy and, and excitement and. Great, let's go answer. Let's go answer more questions.
[00:21:39] Speaker B: You know, the question is interesting that you like potential question that you pose to the AI, which is, what book should I write next? But that is, that is a difficult one for an AI to answer because that there's so much emotion. You can't write or finish, let alone finish a book unless you have passion and emotion behind it. But an AI can tell you things like, of all my books, which themes are the ones that sell best? Which are the ones that have the highest amount of engagement from my readers? Which topics, which questions are my readers sending the most? So based on, let's say all readers responses, what are the themes that, that are most interesting to them? And what types of books would sell the best in these markets? Because then, then you take whatever output is, is coming at you and then combine it with, well, what do I love? What do I, you know, Then you have yourself like your little icky guy diagram in your head of like you combine all this kind of rational output from AI, which is, what can I make money doing? What does the world need? With the internal compass of what do I feel passionate about? What do I love? And that little section in the middle where all four meet is the answer to your question, which is, what book should I write?
[00:22:57] Speaker A: Wow.
Okay. Because I'm not driving. I just typed it into ChatGPT and I, I said exactly that. What book should I write next? And of course, a great question based on your work so far, here are some compelling directions for your next book. Number one, now what.
Which is kind of cool because that's exactly what I'm working on.
[00:23:18] Speaker B: Are you serious? Is that what they literally say?
[00:23:20] Speaker A: It says now what? And then it says expanded edition or follow up. Oh, I see.
[00:23:26] Speaker B: This is now what is already out there.
[00:23:28] Speaker A: I guess Chat GPT thinks I. It's already out there, which it's not, but.
[00:23:32] Speaker B: But you gave it information. You gave it a title that said.
[00:23:35] Speaker A: That I've been talking about now, what with Chat GPT for months. So. Yeah.
[00:23:39] Speaker B: Okay, okay, okay.
[00:23:41] Speaker A: And then number two, give me five here. Number two. This is kind of fun. The mat. So I had an eel like this. I had a. It's very related. I have this sort of Persona I call the mathemagician. Not mathematician, but mathematician.
[00:23:59] Speaker B: Got it.
[00:24:00] Speaker A: So it's mathematics and magic combined, and it's very much the same idea. Very much mind and gut combined. And so here the book is the mathematician's blueprint.
[00:24:12] Speaker B: Cool.
[00:24:13] Speaker A: Kind of fun. And number three is Weekend Writing Revolution. Kind of fun.
[00:24:19] Speaker B: Nice.
[00:24:20] Speaker A: And number four, you'll like this one, Fiona. The Empty Nester's Guide to what's Next.
[00:24:28] Speaker B: Oh, that's cool.
[00:24:30] Speaker A: That's nice.
[00:24:30] Speaker B: Yeah.
[00:24:31] Speaker A: And number five, I don't totally get this one, but the Repossible Manifesto.
Big picture philosophy behind all my work. Interesting.
[00:24:40] Speaker B: Yeah.
[00:24:41] Speaker A: Wow.
[00:24:43] Speaker B: Those may or may not line up with what you want to write about.
Yes, yes.
[00:24:50] Speaker A: Exception to number one, because ChatGPT knows I want to do now what? And I'm doing it. And in fact, you and I are working on it right this very second. This is what we're doing.
[00:24:58] Speaker B: Okay.
[00:24:59] Speaker A: So this one is awesome. Okay. Hey, Fiona, I'm looking at the time, and I, you know, what I want to do is that I. As you know, with this project, I'm just getting going, just starting to talk with people, like with you. And in fact, you're the first version I'm officially talking with about this, so. Nice. Yeah. Super exciting. And I feel like this is, like, such a kickoff. This is just. I'm so excited about this. So here's what I would love to do. I would. I'm going to go talk with, I don't know, 10 or 20 more people in. My goal is, like, 52, just because I'm weird about, like, calendar numbers. And so I want to get a whole big group of people, but I would like to talk with you again, especially because we're kicking this thing off kind of here together, and after, I don't know, 10 or 15 people, and then revisit the discussion and kind of see what I've learned along the way. And also, I'm sure you will have thought about it more by then. And just revisit, because I think it's. I think it's a passionate, exciting project for both of us. So I'd like to talk about it with you again soon.
[00:26:01] Speaker B: Yes. It's something that everybody struggles with, honestly. I mean, humans struggle with it because there's so many decisions that we have to make every single day.
[00:26:09] Speaker A: Yeah.
[00:26:09] Speaker B: And that we never used to have to make when we were cavemen running around. You know, it's like, for breakfast, it's whatever the heck you can find. You know, if you find berries, if you find a fox, if you find, like, whatever you find, that's what. That's breakfast. Right. But, yeah, we look in a store and we look at a supermarket, like, oh, my God. And that we have to do that 89 times a day. These kinds of decisions, it can drive you crazy. And so then we all just become overloaded and overwhelmed because making a decision is actually a very taxing part of. Of our brain processes.
[00:26:43] Speaker A: Yeah.
[00:26:43] Speaker B: So, yeah, if we can. If we can combine our intuitive, you know, and just leave all the decisions to AI that are very logical types of decisions, then we can free ourselves up for the more intuitive ones. I read an article. I'll pass this one on to you. When I think of it, Bradley, I. There was an article recently of a woman as an experiment. I think it's a New York Times writer. She decided that for an entire month she was going to let AI make all of her decisions for her and what to eat for breakfast, what to cook for dinner. How to respond to this email. Do I cut my hair short or what do I wear today? Every possible decision she outsourced to AI and then she wrote an article about what she learned after a month of this. And what she learned is that AI made good decisions, very much based. She made the most rational, likely decision that is like putting everything into a blended smoothie and outputting it as the best possible answer. And the decisions were good, but they lacked that surprise, whimsy, recklessness, weirdness that we humans bring. So let the AI do the boring, bland. You know, this is the highest likelihood, the highest probability of correctness based on facts and figures and based on data that it's. That it's exposed to. And then leave the surprise and the quirkiness and the weirdness and the dream I had when I was five stuff. And if you combine those two brains. Wow, then.
[00:28:20] Speaker A: Then you've got something, you know, then the mathematician in me wants to make weighted values so beautiful. Okay.
[00:28:30] Speaker B: Yes.
[00:28:31] Speaker A: So the mathematician, you know, wants. Got the numbers. Okay, there's a 14 points for the logical answer to be XYZ.
[00:28:40] Speaker B: Yes.
[00:28:41] Speaker A: But then you know what? Yeah, but there's three points by the gut that says like if we don't move to Italy, you know, then ABC and abc, the weight, the power of that emotional element is just, is going to blow away all the rational stuff. So we're moving.
[00:28:59] Speaker B: You know, it's funny that you use the word weights because weights are the third element of the AI brain. So the weighted answer, a weight is a value 0 to 10,000 that is placed on a certain decision, like you know, the guided decision making that is baked into the algorithm. So it's actually very much the way our brain, our own brain thinks.
[00:29:20] Speaker A: Wow.
[00:29:21] Speaker B: And, and with advanced reasoning we have now in the, the architecture. That's why GPT, which one was it? It was the four brain that was advanced reasoning, I believe. And that was such a huge step forward in AI architecture because it created this frontal lobe that would redirect incoming queries to a series of eight narrow AIs that correspond with our own brain areas like visual spatial by translation of language, mathematical programming, musical, visual, all this kind of stuff. So it's for efficiency and speed, but we humans do that as part of our actual brain architecture. So that as. And then now we have advanced reasoning, which is the O1 model. And deep seek. Of course, advanced reasoning is when it loops back and, and re.
You know, thinks each decision maybe once or twice and asks itself questions and becomes its own critical thinker. So it's that little voice in our head, you know that there's that, that little voice in our head, it's actually building that little voice in its head for an AI, which means that as with each model rollout, it's actually becoming closer and closer to our own brain. So it's only a matter of time before that. That sentience is, is artificial consciousness. It's definitely on its way.
[00:30:50] Speaker A: Wow. Wow.
[00:30:52] Speaker B: Oh yeah. That's crazy. So enjoy your breakfast.
Everything is going to be fine.
It's going to be fine.
[00:31:01] Speaker A: Hey, I have a tool question and if you'd rather answer this in different times, that's fine. And I can just cut this out. But I have a question. So you and I had just done audio, we recorded audio. And do you have a tool or a favorite tool or is there even something that could.
I would like to make because I put everything on YouTube and, and so I often just put it on YouTube and there's just a static image. But is there a tool that could somehow animate our audio discussion in some sort of video. And I know it could just be pictures of mountains or whatever, but is there anything that like analyzes it and says, oh, it would make a little icon of a brain or. Oh, it would make, you know, we were talking about the scales of the justice and oh, it would show a scale. Any, any tool come to mind that does that. Or.
[00:31:52] Speaker B: Well, there, there are two. There. There are actually two really cool ways you could go forward with this. One would be to literally get a trans, like an AI generated transcript of our conversation and cut it up, ask it to cut it up into scenes and to visualize, like create 10 visualizations based on this conversation.
And then they would come up with, you know, give it, make. Make sure there are variations on each and then feed that into like a mid journey tool, an image generator tool, and take the best one of that and it's like a multiple step thing. The other funny thing, if we had a bit of, of of, you know, foresight with this one, we could record our talking head podcast in, in a studio and I think next time I will not be in a car but in the studio. And then record our two talking heads. But then we could overlay it with our favorite, you know, animated characters or mantra figures, whatever we wanted to like mushrooms with eyes, whatever we wanted to say and make those talk for us and then put in our own background scenery. That's a tool. I think that's Runaway is doing really well right now.
[00:33:08] Speaker A: Okay.
[00:33:08] Speaker B: And it used to be Synthesia, but Google this one for you. But there's a Chinese avatar making model where you can literally place yourself into a scene and then even replace yourself and your lip syncing with whatever illustration you want.
[00:33:35] Speaker A: It's.
[00:33:35] Speaker B: It's crazy. Yeah, it's really crazy.
[00:33:37] Speaker A: Wow.
[00:33:37] Speaker B: It's like. Yeah, absolutely.
[00:33:39] Speaker A: Okay, we'll do, we. We'll do all that for next time. I might go with the static image this time. I want to get it done, but sure. Okay. Oh my God, Fiona. This has been just beyond anything I expected. This has been amazing and I can't wait to. Yeah. And I just.
[00:33:55] Speaker B: It.
[00:33:55] Speaker A: This, it really confirms. I mean, it's kind of like my mind saying, hey, I confirmed this. This is going to be a great idea in a book and a project and these collection of interviews and chats and stuff. And so that's super cool and a fun kickoff for this whole project. So thank you.
[00:34:11] Speaker B: Wonderful. Oh, great. I'm so happy and really best of luck on your journey up the mountain.
[00:34:17] Speaker A: With your donkey.
Sounds like my favorite part. Okay, Fiona, thanks so much, and we'll talk again super soon about this, okay?
[00:34:26] Speaker B: Thanks a lot. Thanks a lot. It's been fun.
[00:34:29] Speaker A: Bye.
