Should We Use AI to Write for Us? (Debate with Alastair McDermott)

How much help is too much help? When do you go from the actual worker to the visionary? And where does AI fit into all of this? Over on LinkedIn, I said using AI to write your book is like using a car to run a marathon. 

People took issue with that. So my friend Alastair MeDermott and I decided to have a good old fashioned debate. 

You’ll hear a nuanced discussion around:

  • How to think about AI assistance in writing and content creation
  • Where AI can help versus replace in the creative process
  • How iterative prompting can shape the AI output
  • Whether AI will ever replicate truly original human ideas
  • The importance of the human editorial eye in approving AI-generated content
  • What we potentially stand to lose in fully outsourcing creative work to machines

If you’re feeling uncertain about how to responsibly and effectively leverage AI tools like ChatGPT in your business and content creation, don’t miss this lively exchange of perspectives. Tune in now to help shape your own ethical framework.

Check out Alastair’s podcast over at https://therecognizedauthority.com/ 

————
Streamlined Solopreneur is the podcast for solopreneurs who want to automate their business and take time off worry-free. Each week, Joe Casabona shares practical systems, tools, and strategies to help you reclaim your time and run your business without sacrificing your the rest of your life, or your health. 

Start with the free Solopreneur Sweep — a step-by-step method for finding where your business is losing time: https://streamlined.fm/sweep

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Connect with Joe on LinkedIn: https://www.linkedin.com/in/jcasabona/

Transcript
00:00:00.149 –> 00:00:04.409

Joe: In early November, I ruffled some feathers.

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I made a couple of posts about.

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AI and how it should and should not be used.

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The first one was me saying that telling AI to act like a

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doctor makes it as much a doctor.

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As selling George Clooney.

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To act like a doctor.

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But the second post.

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The second post.

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Really got under a lot of people's skin.

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Where I said, using AI to write your book.

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Is like using a car.

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To run a marathon.

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Now I'll admit that maybe that's not a perfect analogy.

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But one of the people who I got in the spirited debate with was

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my good friend, Alistair McDermott over at the recognized authority.

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And he suggested we act like true podcasters in gentlemen.

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And get on an episode.

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And have a debate.

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And so we recorded it on his channel over on his live stream.

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And he provided me with the audio.

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So in this very special bonus episode of how I built it, I'm going to give

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you the debate that Allister and I had, I think it's really good.

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Uh, I don't want to spoil anything, but there are points where we

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fully agree and points where we agree to disagree as we continue.

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To hash out and fully bake our thoughts on this very new landscape.

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For business owners and creators.

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So I hope you enjoy this episode.

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This bonus episode, this debate.

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Between me and Allister McDermott.

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Let's get into the intro.

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And then the debate.

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Hey everybody, and welcome to How I Built It, the podcast where you get free

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coaching calls from successful creators.

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Each week you get actionable advice on how you can build a better creator

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business to increase revenue and establish yourself as an authority in your field.

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I'm your host, Joe Casabona.

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Now let's get to it.

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Alastair: Hello and welcome to the recognized authority.

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I'm Alistair McDermott and my guest is Joe Casabona.

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Today, we are going to discuss can and should we use AI to write for us?

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Welcome, Joe.

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Joe: Thanks for having me, Alistair.

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I'm excited to

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Alastair: talk about this.

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Joe, you are somebody who's been on the show before you were

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on, I think it was episode 36.

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Yeah.

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Episode 36 back in October of 2021.

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So two years later, uh, we're here again chatting.

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And so you have ruffled some feathers with what you've been saying about AI

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on LinkedIn and people are blocking you and stuff like that because you're,

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uh, you're really poking poking folks.

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So can you tell me a little bit about what you said about AI and let's get into it.

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Joe: Yeah.

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So this was, so the impetus for this chat was actually, uh, the second apparently

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inflammatory post I've made about AI.

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Uh, the first one.

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Was, um, telling AI to act like a doctor with 20 years experience makes it a

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doctor as much as telling George Clooney to act like a doctor makes him a doctor.

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People got real mad at that.

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Um, and so I decided to follow it up with, I saw a post somewhere in some community.

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about how this person was writing 25, 000 words a month using AI.

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And I'm like, well, that means you're not writing 25, 000 words a month.

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AI is writing some of those words.

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And so I posted across social media saying I used AI to write my book or I use AI to

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write a blog post a day is like saying.

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I used my car to run a marathon, and a lot of people, uh, got mad that you and

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I had a spirited debate on that post.

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Alastair: We certainly did.

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I think that the analogy is not perfect, like all analogies, but there is some

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truth to what you're saying as well.

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So that's why I wanted to get you on the show and to just chat about it,

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rather than just blocking you, you know?

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Joe: Yeah, absolutely.

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Right.

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Reason.

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I'm all about reasonable discourse.

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And so when someone is being unreasonable, I, I no longer go for it.

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So the, the, in, in one case, this person just liked to hear themselves talk.

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And so I would say something and then they would say something and

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then I would respond and then they would respond with a non sequitur.

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And I'm like, well, you're not worth arguing with.

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Because you are not, we're not arguing, right?

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Or we're not debating, whatever you want to say.

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Uh, but yeah, you and I point counterpoint, right?

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Reasonable discourse.

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Alastair: Well, of course, as podcasters, you know, we, we do

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like to talk a little bit as well.

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Joe: Yes.

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I won't, I won't deny that.

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I like hearing myself talk, but usually I like hearing myself talk about

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whatever is relevant in the conversation.

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Alastair: So let's talk about this then.

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Um, all right.

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So let's talk about the first one, right?

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I'm using AI to write my book.

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Or I'm using AI to write a blog post a day.

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Yeah.

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And you're saying that's like I'm using my car to write a

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marathon, to run a marathon.

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But, so the issue for me is, well, you can be using AI to help write something

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and it not be like getting in your car at the start of a marathon and

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just driving to the end line, right?

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You can actually use it in a way.

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And so when you dig into the nuance, you, you, you really do need to dig in to

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figure out how they're actually using it because it's possible to write something.

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I mean, you can't like, you can just give chat GPT a bunch of

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prompts and have it spit back out.

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An extremely mediocre, almost by definition, mediocre, because it's kind

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of the average of all of the information that it's learned is what it's outputting.

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So, but yeah, and I think that most people who are using it to create content.

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I would like to say aren't using it that way or definitely

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shouldn't use it that way,

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Joe: right?

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Yeah, so this is where I think we're in agreement.

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And yes, my so this makes my post ambiguous, right?

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Because, um, I envision, I've like the example I told

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you where someone was right.

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I'm writing 25, 000 words a day, a week or a month, whatever with with AI.

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I've also talked to people who are like, Oh, yeah, I've used AI to

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write full chapters of my book.

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And I'm like, you didn't write the book then, like you didn't write that chapter.

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If those are not your words, you didn't write it.

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And so like, if you use your car to drive to where the marathon is happening,

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and then you run the 26 miles, no argue, no bones about that, right?

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Absolutely.

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Definitely use your car.

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Uh, unless you're like a maniac who like runs to the marathon

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and then runs the marathon.

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I know people like that, but let's say most of us are normal human beings.

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You're going to drive yourself to the starting line, right?

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Just like use AI for research, ideation, outlining, maybe, maybe

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giving you a jump off point.

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Those are fine, right?

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Because then you're going to take that raw material.

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And turn it into your words and your book and I don't have a problem.

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I do that.

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I do that.

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So I don't have a problem with that per se,

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Alastair: right?

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So the issue for me is if, if, if somebody is saying that they're

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refusing to use AI to help with the process of content creation.

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I think that as a content creator, that is like an accountant saying, Oh, I

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don't use spreadsheets or calculators.

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You know, I think you're absolutely nuts not to use AI, uh, because of how

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much that it can help and support us.

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And the way that I feel about it is it can make somebody who is

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good at producing good content.

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It can make them much more effective and efficient.

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at creating good content and maybe even raise the quality of that

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good content up a notch because it's able to do things much faster.

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Like some of the stuff that some of us might see as BS, like spelling

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and grammar and things like that, they need to be done right.

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But, you know, we don't like to be, you know, going around fixing that kind of

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stuff when we could be writing a new chapter or coming up with new ideas.

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So that's where it is for me is like, I think you're nuts if

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you're not using it for that.

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Joe: Yeah, agree wholeheartedly, right?

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I agree wholeheartedly with that statement.

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In fact, um, I have a course on LinkedIn Learning called

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Generative AI for Podcasters.

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And I talk about everything that you can use generative AI for.

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One of those things is creating a listener avatar for your show.

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And let me tell you, I did this for my show to see what it would come up with.

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And if I didn't know AI generated it, I would have thought they

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were describing a real person.

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Uh, and so that gives me clarity for who I'm talking to, especially

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in the beginning, right?

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If I don't have an audience, I need somebody to talk to

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until I build that audience.

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And so, I agree wholeheartedly with that statement.

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I used AI this morning to write a press release.

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'cause I don't think I can write press releases and they, I don't know,

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maybe they're just more factual than blog posts and then like, I'm having

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a friend punch it up for me to make it not sound like ai, but I don't, I

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wouldn't say I wrote that press release.

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Right.

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I would say I used AI to write a press release.

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Alastair: You see, now we're getting into semantics and Yeah.

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The, the , that's, that's, I I, I hate when these arguments get into semantic.

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Now, I think when I see AI creating stuff like, and I'm going to

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read something that AI wrote.

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So are you ready to unlock the clandestine power of AI and delve into a realm of

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endless possibilities in the modern digital landscape, staying ahead as

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the new normal, unlock the secrets of, I think that that is such BS.

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That is just crap content.

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And I hope you didn't get any of that in your shoes.

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I mean, you can use AI to write good content that doesn't sound like that.

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And, and that's where, like, that's where I, I, I worry.

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Cause I see a lot of people using it and creating rubbish content.

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And then I see people saying things that sound like, don't use AI.

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And that's, that's my concern is like, well, yeah, do use it,

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but use it in the right way.

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Joe: Use it judiciously.

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I think, I think we both, and we kind of came to this

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conclusion ahead of time, right?

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I think we both are closer.

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In our beliefs than we initially thought, right?

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Uh, there was another person who commented saying, like, If my audience

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can't tell the difference between what I write and what AI wrote,

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Why am I going to waste my time?

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And I, very bluntly said, That's a problem with you, not your audience.

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Like, if you can't, If you can't write in your own voice, Or a

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voice that's differentiated from whatever you just read there about

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clandestine something somethings.

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Right?

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That means that you're a bad writer.

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And if I'm a bad runner, and I want to get better at running,

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I'm not going to drive everywhere.

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I'm going to run more.

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If I don't care about writing, fine.

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But I'm also not going to call myself a writer.

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Alastair: I think that one thing that is super important to me is using

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AI to get faster and more efficient.

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And be more productive.

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And I, I, a friend of mine challenged me to go and quantify, because

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there's, there's a great book.

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I think it's called how to measure anything, but he said, can you

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quantify how much AI is, how much more effective it's making a more efficient.

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And it was making me about 40 percent more efficient at writing

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content, creating content.

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See, now, now we got to get specific about the words that we use here.

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Yeah.

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Um, but I'm still writing that content and the ideas are still coming from me.

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Even though it's applying a lot of the grunt work, and this is where, you know,

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um, like, I, I think of, like, if this was okay, I just made some, I just made

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some lamb kebabs in the kitchen, right?

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I was talking to you.

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I was down.

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I went downstairs cooking and I left the marinating.

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So when I was, when I went down to cook those.

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I chopped some onions in a, uh, a spinning, uh, chopping, uh, device.

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I don't know what you'd call it, but it basically shredded the onions down

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super quick in like five seconds.

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Boom.

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Done.

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I wouldn't have made it back in time for this call if I had done it manually.

00:12:44.734 –> 00:12:47.494

So, uh, so is that to say that I didn't cook that meal?

00:12:47.534 –> 00:12:47.854

You know?

00:12:48.114 –> 00:12:51.304

So no, it's just, I used a tool that made me more effective.

00:12:51.639 –> 00:12:52.829

That's, that's the point.

00:12:53.149 –> 00:12:55.619

Like, I still decided what I was going to make, you know?

00:12:56.189 –> 00:13:00.349

Joe: Yeah, but, so, but I think, right, where we are, we are, we are

00:13:00.349 –> 00:13:06.619

different, differing in our analogy is, my analogy was more like you going

00:13:06.619 –> 00:13:09.569

to a restaurant, buying lamb kebabs.

00:13:10.344 –> 00:13:12.374

And then saying, I made these, right?

00:13:12.924 –> 00:13:13.204

Yeah.

00:13:13.254 –> 00:13:13.674

Alastair: Okay.

00:13:14.164 –> 00:13:14.534

Right.

00:13:15.014 –> 00:13:15.904

That's my road.

00:13:16.044 –> 00:13:16.314

Yeah.

00:13:16.804 –> 00:13:20.834

The other issue that comes into this, when it comes into like writing and creating

00:13:20.834 –> 00:13:27.454

content is there is a learning process that occurs in your brain when you write.

00:13:27.864 –> 00:13:31.894

Because you have to formulate the thoughts and put those thoughts together.

00:13:32.404 –> 00:13:36.514

And this is where I could see it potentially being dangerous for people who

00:13:36.514 –> 00:13:41.654

are not experts in the field, because if they're using AI to generate and to write

00:13:41.654 –> 00:13:45.244

for them, they're not going through that learning process where they're actually

00:13:45.244 –> 00:13:46.934

putting the ideas together in their head.

00:13:47.454 –> 00:13:51.149

And, um, I think another friend of mine said something like.

00:13:51.589 –> 00:13:54.589

Editing is learning or editing is thinking, I can't remember

00:13:54.589 –> 00:13:55.579

something, something like that.

00:13:55.579 –> 00:13:58.689

It could be, could be Jonathan Stark or something like that, but the idea

00:13:58.689 –> 00:14:04.339

that, so the idea is, you know, if you already have great ideas and you've

00:14:04.369 –> 00:14:09.879

thought a lot about your topic and you've maybe written about it, then using AI

00:14:09.989 –> 00:14:11.999

can really speed up what you're doing.

00:14:12.309 –> 00:14:14.739

But if you're not at that stage, then it may be.

00:14:15.079 –> 00:14:19.199

Potentially going to damage the journey that's that's a real concern for me for

00:14:19.199 –> 00:14:23.029

somebody who's trying to become an expert on an authority in their field, which

00:14:23.029 –> 00:14:23.929

is something that I think a lot about.

00:14:24.279 –> 00:14:25.089

How do you think about that?

00:14:25.929 –> 00:14:27.789

Joe: Yeah, I agree wholeheartedly, right?

00:14:27.799 –> 00:14:28.479

And like I have.

00:14:28.629 –> 00:14:30.609

So I have three small kids, right?

00:14:31.329 –> 00:14:37.969

There are 63 and two, um, my three year old.

00:14:38.964 –> 00:14:45.404

Can do, can do thing, more things at three than my oldest could do at three.

00:14:45.914 –> 00:14:48.754

And it's not about aptitude and it's not about skill.

00:14:49.454 –> 00:14:54.234

It's that my wife and I did more for our oldest because we

00:14:54.234 –> 00:14:55.754

didn't think she could do it.

00:14:55.764 –> 00:14:59.414

So we just did it for her instead of telling her to do

00:14:59.414 –> 00:15:01.114

it herself or try it herself.

00:15:01.954 –> 00:15:08.204

Whereas, we learned, and with our son, he tries to, he tries to do something first.

00:15:08.204 –> 00:15:09.734

We make him try to do it first.

00:15:10.364 –> 00:15:12.454

And so he developed the skill faster.

00:15:13.184 –> 00:15:16.744

So when you're talking about, you know, using AI to do things.

00:15:17.244 –> 00:15:20.774

Instead of doing it yourself, that's exactly what I thought of.

00:15:21.564 –> 00:15:24.984

If I'm tying my shoes for my daughter, she's never going

00:15:24.984 –> 00:15:26.124

to learn how to tie her shoes.

00:15:28.494 –> 00:15:34.754

Alastair: So then the question becomes, well, what if we have a society, and we'll

00:15:34.754 –> 00:15:38.934

take that analogy, where we have machines that will just tie our shoes for us?

00:15:39.979 –> 00:15:41.569

And it's super simple and very quick.

00:15:41.579 –> 00:15:43.319

Do we ever need to learn how to tie our shoes?

00:15:44.679 –> 00:15:46.559

Joe: Yeah, that's a good question.

00:15:46.609 –> 00:15:46.859

Right.

00:15:46.879 –> 00:15:49.739

Or maybe we just all wear Crocs like in the movie Idiocracy.

00:15:49.769 –> 00:15:50.079

Right.

00:15:50.629 –> 00:15:55.039

Um, which Crocs was not known when that movie was made.

00:15:55.039 –> 00:15:55.779

I don't know if you know this.

00:15:55.779 –> 00:15:56.699

Here's a quick tangent.

00:15:57.039 –> 00:16:05.619

Uh, Uh, the wardrobe designer for Idiocracy was looking for just kind

00:16:05.619 –> 00:16:08.599

of generic futuristic looking shoes and they found this little known

00:16:08.599 –> 00:16:12.659

company, um, and it was Crocs.

00:16:13.179 –> 00:16:16.749

And they're like, these, nobody will wear these ever, like they're so hideous.

00:16:16.809 –> 00:16:18.769

And now they're probably the most common shoe.

00:16:19.259 –> 00:16:21.635

Um, everybody in my house has

00:16:21.635 –> 00:16:21.799

Alastair: them.

00:16:22.259 –> 00:16:22.939

Yeah, the product

00:16:22.939 –> 00:16:23.699

Joe: placement that did it.

00:16:23.979 –> 00:16:26.329

No, it wasn't, it like wasn't even product placement.

00:16:26.329 –> 00:16:30.269

She just sourced the shoes for the movie.

00:16:30.679 –> 00:16:31.399

Crazy, right?

00:16:31.789 –> 00:16:36.499

Um, so I mean maybe the movie helped it get big, but it was not known, and

00:16:36.499 –> 00:16:38.239

the wardrobe designer didn't think.

00:16:38.734 –> 00:16:39.944

Anybody would be wearing them.

00:16:39.944 –> 00:16:41.244

That's why they went with those shoes.

00:16:41.654 –> 00:16:43.804

Um, point being, right.

00:16:44.094 –> 00:16:47.944

Uh, my father in law thinks a lot about that with maps, right?

00:16:47.944 –> 00:16:51.314

He like knows how to read a real map and I don't.

00:16:52.714 –> 00:16:56.414

Um, and you know, he's like, if an EMP ever goes off.

00:16:57.419 –> 00:16:59.019

Most of the world is screwed.

00:16:59.169 –> 00:17:01.039

Unlike me, wholeheartedly.

00:17:01.049 –> 00:17:02.929

Like, if computers didn't exist, I'd be dead.

00:17:03.009 –> 00:17:03.599

Basically.

00:17:04.139 –> 00:17:07.589

Um, And so, I think a lot about that, right?

00:17:07.589 –> 00:17:13.549

Like, are we moving towards some futuristic, like, WALL E esque world

00:17:13.959 –> 00:17:17.579

where we're all in, like, these movable chairs and we're all fat and just watching

00:17:17.579 –> 00:17:20.359

TV because we don't need to do anything because machines do it all for us.

00:17:21.409 –> 00:17:23.349

Like, do we lose humanity at that point?

00:17:23.389 –> 00:17:25.049

Like, do we lose our humanity at that point?

00:17:26.299 –> 00:17:26.639

Alastair: Yeah.

00:17:26.639 –> 00:17:29.319

And, uh, you know, I mean, maybe that's just beyond the scope

00:17:29.319 –> 00:17:31.559

of what we're talking about because it's just, that's like,

00:17:31.899 –> 00:17:32.409

Joe: that's so far.

00:17:32.659 –> 00:17:32.869

Yeah.

00:17:32.869 –> 00:17:35.499

That's a real heavy, to get that heavy.

00:17:36.069 –> 00:17:41.369

Alastair: Um, but I mean, like, I'm sure that people said the same thing when

00:17:41.379 –> 00:17:43.189

the calculator was created, you know?

00:17:43.599 –> 00:17:46.369

Oh, people aren't going to do maths in their head anymore.

00:17:46.369 –> 00:17:47.759

And that's, you know, that's.

00:17:49.974 –> 00:17:55.784

Uh, I even heard somebody talking about, I think it was Erasmus, the philosopher,

00:17:56.274 –> 00:18:01.474

uh, and mathematician, uh, complained when the printing press was invented

00:18:01.834 –> 00:18:07.234

that there was going to be too much content created and that the quality

00:18:07.234 –> 00:18:12.254

of content was go, was going to, uh, be mediocre and that, that it would be harder

00:18:12.254 –> 00:18:14.094

for good quality content to surface.

00:18:14.849 –> 00:18:17.659

And that was, you know, when was that?

00:18:17.659 –> 00:18:18.579

The 1600s.

00:18:18.989 –> 00:18:22.109

So, um, I'm showing my, my terrible history here with

00:18:22.109 –> 00:18:22.909

not knowing the date of that.

00:18:22.969 –> 00:18:23.559

No, that's

00:18:23.559 –> 00:18:23.819

accurate

00:18:23.919 –> 00:18:24.119

Joe: though.

00:18:24.389 –> 00:18:25.759

Uh, I'm sorry.

00:18:25.789 –> 00:18:27.969

No, it was the 1400s.

00:18:28.019 –> 00:18:32.569

The printing press was invented like the same year Leonardo da Vinci was born.

00:18:32.609 –> 00:18:35.799

And I only know that cause I just started reading Walter Isaacson's

00:18:35.819 –> 00:18:37.279

book on Leonardo da Vinci.

00:18:37.564 –> 00:18:37.804

Alastair: Yes.

00:18:37.814 –> 00:18:38.294

Right.

00:18:38.654 –> 00:18:39.954

And he's a fascinating character.

00:18:40.014 –> 00:18:45.034

And, and, uh, I've been in his house that he had in, um, in France.

00:18:45.384 –> 00:18:49.784

Uh, he, he lived beside the French King in, um, in the lower valley.

00:18:50.044 –> 00:18:50.554

Oh yeah.

00:18:50.564 –> 00:18:52.054

Fascinating place to visit.

00:18:52.374 –> 00:18:53.814

Um, but now that's a tangent.

00:18:54.174 –> 00:19:00.554

So the, so whenever this new technology has come along, people, people are saying,

00:19:00.574 –> 00:19:05.626

okay, the, you know, the, the end is nigh, but let's talk about the practicalities.

00:19:05.626 –> 00:19:06.059

Yes.

00:19:06.739 –> 00:19:12.209

The, the situation where somebody wants to use AI to write when,

00:19:12.359 –> 00:19:13.839

when is it a good idea to use it?

00:19:13.839 –> 00:19:15.249

When is it not a good idea to use it?

00:19:17.299 –> 00:19:20.759

Joe: Yeah, I think, I think like with any technology we are learning.

00:19:20.769 –> 00:19:21.939

We're learning, right?

00:19:22.529 –> 00:19:24.269

It's a new technology.

00:19:24.699 –> 00:19:31.099

And so, uh, just like when phones first came out, it didn't have all

00:19:31.099 –> 00:19:37.159

of the screen time, focus, filters, parental controls that we have now.

00:19:38.049 –> 00:19:42.709

So we're definitely in like the, call it the AI renaissance.

00:19:42.954 –> 00:19:46.154

Maybe we're all trying to, maybe it's pre Renaissance, right?

00:19:46.154 –> 00:19:48.244

Cause Renaissance is like the really good age, right?

00:19:48.244 –> 00:19:51.894

But so we're like pre Renaissance, we're just trying stuff now.

00:19:52.784 –> 00:20:02.084

Um, and so I'm taking a very hard line skepticism of people who say, Oh yeah,

00:20:02.364 –> 00:20:04.524

you can literally use AI for anything.

00:20:05.354 –> 00:20:08.864

Because I think that what we can't use AI for is, is anything

00:20:08.864 –> 00:20:10.644

that requires the human element.

00:20:11.304 –> 00:20:14.014

telling stories, writing, right?

00:20:14.364 –> 00:20:16.964

If I just want, here's an example, right?

00:20:17.014 –> 00:20:18.194

I tried this, right?

00:20:18.204 –> 00:20:20.334

Cause I'm not just like someone who says, don't do it.

00:20:20.334 –> 00:20:21.374

And I'm not going to try it.

00:20:21.374 –> 00:20:21.904

I'm going to try it.

00:20:21.934 –> 00:20:25.624

So I wrote a primer for AI.

00:20:25.644 –> 00:20:26.874

So I prompted.

00:20:27.404 –> 00:20:32.234

Chat GPT for, and I said, write me a 700 word blog post, basically

00:20:32.234 –> 00:20:34.744

explaining AI and large language models.

00:20:35.424 –> 00:20:37.344

And like, obviously it got the facts right.

00:20:37.614 –> 00:20:40.374

I knew the facts already because I had done my own research.

00:20:41.014 –> 00:20:43.894

Um, I had done my own reading on the topic.

00:20:44.334 –> 00:20:48.204

Uh, but it was just like a flat telling of what AI is.

00:20:48.204 –> 00:20:49.974

And so I had to punch it up.

00:20:49.974 –> 00:20:54.784

I talked about Star Wars and I added my own personal anecdotes.

00:20:55.284 –> 00:20:57.934

And what I kept from that blog post.

00:20:58.559 –> 00:21:03.579

Was basically like two bulleted lists, uh, of like what large language

00:21:03.589 –> 00:21:08.149

models are and, and some ideas that you, that you could use for them.

00:21:09.629 –> 00:21:12.889

Did I, did I write that blog post?

00:21:12.959 –> 00:21:16.549

I wrote, I don't know, 90 percent of it.

00:21:17.549 –> 00:21:23.909

Um, and so would people read it if I just took what ChatGPT

00:21:23.909 –> 00:21:26.669

gave me and, and published it?

00:21:27.319 –> 00:21:30.239

I don't think so, because there's no hook.

00:21:30.279 –> 00:21:31.729

There's nothing that grabbed me.

00:21:33.554 –> 00:21:35.224

Alastair: So what if you asked it to add a hook?

00:21:36.894 –> 00:21:38.724

Joe: It still wouldn't be my hook, right?

00:21:38.874 –> 00:21:39.684

Like it would be like,

00:21:39.954 –> 00:21:41.704

Alastair: Then you can say, you know, I don't like that hook.

00:21:41.714 –> 00:21:42.804

Give me three other options.

00:21:42.844 –> 00:21:46.094

What about using the hook that does something else and suggest one?

00:21:47.794 –> 00:21:49.814

Joe: It's still not me writing it.

00:21:49.894 –> 00:21:50.124

Right.

00:21:50.124 –> 00:21:51.544

It's still not my voice.

00:21:51.894 –> 00:21:52.184

Right.

00:21:52.214 –> 00:21:52.814

And so

00:21:52.834 –> 00:21:53.664

Alastair: you see that that's.

00:21:54.019 –> 00:21:54.729

That's the question.

00:21:54.729 –> 00:21:59.029

I mean, you can, like the way that I use it, I use it in a very iterative way.

00:21:59.739 –> 00:22:03.999

So I'll get feet, I'll, I'll get output and I'll say, um, I

00:22:04.009 –> 00:22:05.339

don't like that call to action.

00:22:05.339 –> 00:22:06.669

I don't like that opening hook.

00:22:06.969 –> 00:22:09.449

I suggest me another hook or use this as a hook.

00:22:10.124 –> 00:22:12.214

And, and am I not then writing

00:22:12.214 –> 00:22:12.424

Joe: it?

00:22:13.194 –> 00:22:14.944

No, I don't think you are.

00:22:15.004 –> 00:22:16.624

You're telling someone else to write it.

00:22:18.054 –> 00:22:20.204

The chat GPT is basically your ghost writer.

00:22:20.994 –> 00:22:21.384

Alastair: Yeah.

00:22:21.384 –> 00:22:22.944

So, I mean, that's the question.

00:22:22.944 –> 00:22:26.434

And like, I think they're like, there becomes, there becomes a line.

00:22:26.434 –> 00:22:28.434

And I think that this is a spectrum where.

00:22:29.034 –> 00:22:31.564

If you iterate on something enough times and ask for enough changes,

00:22:31.564 –> 00:22:33.084

that it becomes your words.

00:22:33.154 –> 00:22:33.894

I mean, it has to,

00:22:35.144 –> 00:22:36.424

Joe: but they're not your words,

00:22:37.494 –> 00:22:37.864

Alastair: right?

00:22:37.864 –> 00:22:40.114

Well, I don't know about that.

00:22:40.114 –> 00:22:41.364

I mean, it's someone else's

00:22:41.364 –> 00:22:42.004

Joe: words.

00:22:42.614 –> 00:22:46.544

That you extracted from the large language model.

00:22:47.504 –> 00:22:53.494

Alastair: Yeah, so, I mean, the, I mean, I guess this is where we disagree, because

00:22:53.704 –> 00:22:57.874

I think that at some point, like, it's a question of what are you feeding in?

00:22:58.279 –> 00:23:01.279

Like what are the instructions and how detailed are those instructions you're

00:23:01.279 –> 00:23:05.999

feeding in, in terms of asking you to generate something, because some

00:23:05.999 –> 00:23:11.039

people will feed in a one line prompt, some people will feed in a 10 line

00:23:11.039 –> 00:23:16.749

prompt, some people will will feed in a five line prompt, and you know, 3000

00:23:16.759 –> 00:23:18.589

words that they've already written.

00:23:18.894 –> 00:23:23.364

Generated somehow, for example, both of us, uh, probably generate a lot of words

00:23:23.364 –> 00:23:26.074

through, uh, through podcast transcripts.

00:23:26.854 –> 00:23:32.204

So we could take the transcript of this conversation and I could say, just pull

00:23:32.204 –> 00:23:35.024

out Alistair's side of this conversation.

00:23:35.554 –> 00:23:39.724

Now go through Alistair's, uh, what Alistair said and summarize that.

00:23:39.724 –> 00:23:40.904

Give me a detailed summary of that.

00:23:41.204 –> 00:23:43.644

Now write that as a blog post, right?

00:23:43.644 –> 00:23:45.894

Are you saying that's, that's me writing that or not writing

00:23:45.894 –> 00:23:45.994

Joe: that?

00:23:45.994 –> 00:23:46.129

Okay.

00:23:49.279 –> 00:23:51.579

No, I wouldn't say you're writing it.

00:23:51.729 –> 00:23:54.399

I would say it's your words being used, right?

00:23:54.889 –> 00:23:57.069

Alastair: You see, that to me sounds like semantics because…

00:23:57.309 –> 00:24:00.379

Joe: But it's the difference between like a biography and an autobiography, right?

00:24:03.279 –> 00:24:08.589

Alastair: Um, yeah, I guess maybe we're not going to agree

00:24:08.589 –> 00:24:10.429

on this because I think that…

00:24:10.559 –> 00:24:14.989

Having a biography, I guess it's kind of like maybe it's an authorized

00:24:15.029 –> 00:24:17.819

biography where the, where the person is standing over the shoulder of the

00:24:17.819 –> 00:24:19.369

writer and saying, Hey, yes, I do.

00:24:19.369 –> 00:24:20.109

Or I don't, you know?

00:24:20.349 –> 00:24:20.759

Right.

00:24:20.759 –> 00:24:21.099

Joe: Yeah.

00:24:21.179 –> 00:24:21.989

I, yeah.

00:24:22.009 –> 00:24:22.269

Right.

00:24:22.309 –> 00:24:25.769

Isaacson interviewed, uh, he didn't interview Steve jobs early in our da

00:24:25.769 –> 00:24:31.549

Vinci, obviously, but he interviewed a bunch of people who knew him and then has

00:24:31.559 –> 00:24:36.099

footage and all this and put something together for the Steve jobs book.

00:24:36.099 –> 00:24:36.509

We'll say.

00:24:37.259 –> 00:24:39.489

I wouldn't, even though a lot of those words are probably

00:24:39.489 –> 00:24:42.409

Steve Jobs and it's his life, I wouldn't say Steve Jobs wrote that.

00:24:43.199 –> 00:24:43.669

Yeah.

00:24:43.869 –> 00:24:45.269

Alastair: So, so, okay.

00:24:46.619 –> 00:24:50.169

Apart from the fact that we, we maybe, uh, are in disagreement over that,

00:24:50.559 –> 00:24:54.779

where I think it's important is, is like right now, this is not that important.

00:24:54.829 –> 00:24:59.119

I think because The words that it's generating without any editing are

00:24:59.119 –> 00:25:00.999

just not good enough to pass for human.

00:25:01.759 –> 00:25:04.569

Yeah, we, we, we wholly agree on that.

00:25:04.619 –> 00:25:04.929

Yes.

00:25:04.979 –> 00:25:10.799

But at some point they will, at some point it's going to get good enough for us to,

00:25:10.999 –> 00:25:15.919

to not be able to tell, or for, you know, 99 percent of us not to be able to tell.

00:25:16.304 –> 00:25:16.654

Right.

00:25:17.414 –> 00:25:19.164

Joe: I think you're probably right about that.

00:25:20.024 –> 00:25:23.154

Alastair: And then we have other things that come along like custom GPTs.

00:25:23.184 –> 00:25:26.034

I did a live stream about this last week where I made a custom

00:25:26.034 –> 00:25:28.144

uploaded four of my books to it.

00:25:28.794 –> 00:25:34.284

So I now have a custom chat GPT bot that knows what I've said about a

00:25:34.284 –> 00:25:36.704

topic and knows my writing style.

00:25:37.304 –> 00:25:42.544

So if I then say, you know, um, give me a, you know, give me a blog post about this

00:25:42.544 –> 00:25:44.314

topic based on what I wrote in that book.

00:25:45.139 –> 00:25:49.839

It's able to create a new blog post that kind of synthesizes the ideas from that.

00:25:50.599 –> 00:25:53.799

And it's, and it's going to be in a fairly close, it's still not going

00:25:53.799 –> 00:25:56.299

to be perfect, but it's going to be fairly close to what I said.

00:25:58.679 –> 00:26:01.669

Joe: It's going to be, yeah, it's going to be fairly close to what you said, but

00:26:01.669 –> 00:26:07.709

it's not going to be what, it might not be what Alistair in 2023 would write.

00:26:08.759 –> 00:26:11.399

Because since you wrote those books, I know one, you just wrote

00:26:11.459 –> 00:26:15.199

around this time last year, but those previous books will say.

00:26:15.774 –> 00:26:17.654

You were a different person, right?

00:26:17.654 –> 00:26:19.964

Some people say that we change every two years, right?

00:26:20.004 –> 00:26:22.034

Like yeah, you look back at yourself two years ago, and you

00:26:22.044 –> 00:26:23.164

feel like you're a different person.

00:26:23.674 –> 00:26:30.264

So That's where AI and chat GPT will always fail, right?

00:26:30.294 –> 00:26:35.079

It could have all the words I've ever written But when I'm 40 years old,

00:26:35.079 –> 00:26:42.049

two years from now, I'm gonna have an A preteen and two and two other small

00:26:42.049 –> 00:26:44.569

children and I might be living in a different house and I'll have a bunch of

00:26:44.569 –> 00:26:50.449

different life experiences that I will use to relate my ideas to other people.

00:26:51.439 –> 00:26:54.829

And so I think I wanna, I wanna say this thought before I lose it, because when

00:26:54.829 –> 00:26:59.659

you were talking about prompting and iterating, it's the, I think that's the

00:26:59.659 –> 00:27:01.699

difference between like being a visionary.

00:27:02.784 –> 00:27:04.854

And being the actual worker, right?

00:27:04.914 –> 00:27:05.854

Steve again.

00:27:05.874 –> 00:27:07.424

Well, I'll just use Steve Jobs again.

00:27:07.424 –> 00:27:12.794

I guess Steve Jobs was a visionary for the iPhone, but no one would ever say

00:27:12.804 –> 00:27:15.524

he physically made the iPhone, right?

00:27:18.194 –> 00:27:20.394

Because he, he got it.

00:27:20.394 –> 00:27:21.154

He tested it.

00:27:21.174 –> 00:27:27.514

A bunch of people provided feedback and the iPhone that came out was

00:27:28.114 –> 00:27:30.554

from innovations from engineers.

00:27:31.384 –> 00:27:34.394

And it was really the first thing of its kind to take

00:27:34.394 –> 00:27:36.064

this example one step further.

00:27:36.709 –> 00:27:38.669

You saw a lot of copycats after that, right?

00:27:38.669 –> 00:27:41.869

That weren't as good as the iPhone or whatever.

00:27:41.869 –> 00:27:43.339

Pick your favorite phone, I guess.

00:27:43.689 –> 00:27:50.049

Um, weren't as good as the iPhone, uh, but were imitations based on

00:27:50.049 –> 00:27:51.599

what they knew about the iPhone.

00:27:52.139 –> 00:27:54.249

So I, I, I'm.

00:27:54.499 –> 00:28:01.689

Maybe pulling together an analogy here, um, that's not, that's kind of

00:28:01.709 –> 00:28:05.289

half baked, but, you know, I think it's kind of the difference between,

00:28:05.289 –> 00:28:08.629

like, the visionary doing the work, and then, like, copying the original work.

00:28:10.249 –> 00:28:15.449

Alastair: Yeah, so, I guess, I'm, like, I'm trying to, I'm still trying to figure

00:28:15.449 –> 00:28:22.039

this out, because, for example, I, when I drive, I sometimes narrate and record

00:28:22.039 –> 00:28:27.479

or dictate, and quite often I will do that into the otter app on my phone.

00:28:27.789 –> 00:28:29.089

Joe: So I use audio pen.

00:28:29.149 –> 00:28:29.499

Yeah.

00:28:29.639 –> 00:28:29.909

Alastair: Yeah.

00:28:30.529 –> 00:28:35.359

And so what I'll do is I'll, I'll record some stuff in there and I'll like, that

00:28:35.359 –> 00:28:38.689

might be an idea for a blog post or it could be for a podcast episode or just

00:28:38.689 –> 00:28:41.049

something about my to do for, for the day.

00:28:41.664 –> 00:28:45.354

But quite often I'll take that text and run it through chat GPT and

00:28:45.354 –> 00:28:49.094

I'll say, clean this up, uh, give it to me in bullet points or give

00:28:49.094 –> 00:28:50.334

it to me in the form of a table.

00:28:50.694 –> 00:28:52.734

Um, you know, I asked her for that today.

00:28:52.734 –> 00:28:56.534

I was, I was looking at updating a product and I said, I want, I want

00:28:56.584 –> 00:28:59.904

you to give me the, you know, the new pricing and the new, uh, product

00:28:59.914 –> 00:29:01.374

features in the, in the form of a table.

00:29:02.234 –> 00:29:08.564

So that, that kind of thing, like where I'm dictating in, like I

00:29:08.564 –> 00:29:09.764

feel, well, that's me writing.

00:29:10.519 –> 00:29:16.769

You know, um, even if it does some significant cleanup, those ideas are still

00:29:16.769 –> 00:29:21.589

coming from me and not only that, but when it's doing the cleanup, the cleanup that

00:29:21.589 –> 00:29:23.939

it's doing is based on my suggestions.

00:29:23.939 –> 00:29:26.999

It's not like it's coming up with, if I say, you know what I want you

00:29:26.999 –> 00:29:29.489

to, uh, you know, that's too wordy.

00:29:29.619 –> 00:29:33.509

Like the one I like, I always say, make it more concise, more directly

00:29:33.509 –> 00:29:35.699

written and remove filler and fluff.

00:29:35.854 –> 00:29:36.044

Right.

00:29:36.284 –> 00:29:39.454

And when it does that, lo and behold, it starts to sound a lot more like I write.

00:29:39.834 –> 00:29:42.544

And I don't know if that's because of like, I write more, more tersely because

00:29:42.544 –> 00:29:47.014

of an engineering background or whatever, but I tend not to write in, in, in that

00:29:47.014 –> 00:29:48.494

kind of way where it's quite wordy.

00:29:48.894 –> 00:29:54.034

So, but, but I feel like I am writing when I, when I, when I give it those

00:29:54.034 –> 00:30:01.674

instructions, because what's coming out is my ideas in my voice, sounding like me.

00:30:02.229 –> 00:30:06.879

Uh, and, and has been edited by me, maybe through an, an iterative editing

00:30:06.879 –> 00:30:08.939

process where I talk to the AI.

00:30:09.109 –> 00:30:13.859

And by the way, quite literally, I mean, uh, I use chat GPT on my phone where I

00:30:13.869 –> 00:30:15.579

use the voice dictation input feature.

00:30:15.899 –> 00:30:19.149

So quite often I'm actually having a conversation literally

00:30:19.179 –> 00:30:20.209

where I'm speaking to it.

00:30:20.729 –> 00:30:24.199

Uh, and, and yet I feel like I'm writing that and, and I think that maybe this

00:30:24.209 –> 00:30:28.149

is a semantics thing, but, uh, you know, do you, do you disagree with me?

00:30:30.459 –> 00:30:33.789

Joe: I, well, they're definitely your ideas.

00:30:34.064 –> 00:30:34.534

Right.

00:30:35.104 –> 00:30:40.064

I would, when I do this with audio patent, right, and maybe

00:30:40.064 –> 00:30:41.464

I'm not using the right tool.

00:30:41.514 –> 00:30:41.854

Right.

00:30:42.504 –> 00:30:49.744

Um, I never feel like what it comes up with is suitably me.

00:30:49.984 –> 00:30:50.314

Right.

00:30:50.354 –> 00:30:54.874

It takes what I say, and it turns it into some language.

00:30:55.364 –> 00:30:57.954

And if it's just like a social post, like, maybe I don't care.

00:30:58.004 –> 00:30:59.164

Maybe I'll just throw that up.

00:30:59.754 –> 00:31:06.049

But I have very rarely felt like what I got back from an AI Was something

00:31:06.049 –> 00:31:11.569

that I felt I couldn't have done a better job writing or editing, right?

00:31:11.569 –> 00:31:16.659

And so, um, this is probably, this is obviously very subjective.

00:31:17.299 –> 00:31:25.289

Um, I think that, I think that if you are dictating the words, Right?

00:31:25.289 –> 00:31:26.499

This could be semantics, right?

00:31:26.519 –> 00:31:29.619

If you listen to a bunch of books on Audible, are you reading those books?

00:31:30.599 –> 00:31:30.939

Right?

00:31:30.979 –> 00:31:32.529

Or like you're cheating a little bit, right?

00:31:32.529 –> 00:31:34.839

Because like you can listen to it at 1x and you're hearing it

00:31:34.839 –> 00:31:39.509

faster than, than you're reading it and maybe, but maybe you're not

00:31:39.509 –> 00:31:41.659

comprehending it as well either, right?

00:31:41.659 –> 00:31:46.959

So, um, Like, I think that we need to consider what we're

00:31:46.959 –> 00:31:48.219

losing with the shortcut.

00:31:48.979 –> 00:31:53.229

And so if you're dictating and iterating and you eventually get

00:31:53.229 –> 00:31:58.749

something that's good, what have you given up to get to that point?

00:31:59.809 –> 00:32:03.139

I think that's probably, and that's gonna be

00:32:03.189 –> 00:32:04.069

Alastair: different for everybody.

00:32:04.809 –> 00:32:08.289

So, right, to take the argument that you made an argument, which

00:32:08.289 –> 00:32:11.769

is effectively The output that I've seen so far isn't good enough.

00:32:12.179 –> 00:32:16.359

Now, my counterpoint to that is, that's irrelevant because at some

00:32:16.359 –> 00:32:17.999

point soon it will be good enough.

00:32:18.049 –> 00:32:20.939

Whether that's chat GPT 5 or GPT 4.

00:32:20.959 –> 00:32:22.399

1 or whatever.

00:32:22.689 –> 00:32:27.139

At some point that output is probably going to be good enough for, you know,

00:32:27.219 –> 00:32:33.584

99 percent of Of uses now, I think that, you know, there's always going

00:32:33.584 –> 00:32:37.644

to be that last, the last 1 percent that it's, it's never going to going

00:32:37.644 –> 00:32:41.164

to, um, that it's never going to get to in terms of quality of output.

00:32:41.164 –> 00:32:43.684

Now, what I'm talking about here, by the way, is in writing style.

00:32:44.094 –> 00:32:50.769

Uh, I think that in terms of actually formulating and having new ideas, And

00:32:50.769 –> 00:32:52.769

synthesizing new ideas from nothing.

00:32:53.109 –> 00:32:56.709

I think that that's like, that's not generative AI.

00:32:56.709 –> 00:32:59.949

That's not, you know, chat GPT and those models, there might be some

00:32:59.949 –> 00:33:03.809

other type of, of AI that comes along and can do that, but, but that's not

00:33:03.809 –> 00:33:04.759

really what we're talking about here.

00:33:04.759 –> 00:33:04.999

Right.

00:33:06.269 –> 00:33:06.639

Joe: Right.

00:33:06.639 –> 00:33:06.879

Yeah.

00:33:06.879 –> 00:33:11.949

And in this moment, right, the thing I'm running with now is, is you talking at

00:33:11.949 –> 00:33:15.719

an AI and coming up with some writing and then you iterating over that.

00:33:15.719 –> 00:33:15.909

Right.

00:33:16.479 –> 00:33:17.369

I think you're probably right.

00:33:17.369 –> 00:33:17.489

Right.

00:33:17.519 –> 00:33:21.809

Especially with these GP, like these custom GPTs, I could feed.

00:33:22.399 –> 00:33:28.299

One, I've been writing on the internet for 20 years, right?

00:33:28.379 –> 00:33:33.659

Now, the way I wrote in 20, in 2003, was very bad.

00:33:34.879 –> 00:33:38.739

Uh, so maybe I give it the last five years of me writing.

00:33:39.749 –> 00:33:42.899

It's probably gonna do a pretty good job.

00:33:43.609 –> 00:33:45.699

A pretty decent facsimile.

00:33:46.109 –> 00:33:52.539

Of how I would write something right and I still wouldn't say I wrote

00:33:52.539 –> 00:33:54.709

it because I didn't write it right.

00:33:54.869 –> 00:34:00.219

It's I covered the 26 miles, but I didn't run it.

00:34:00.599 –> 00:34:02.539

So I shouldn't be celebrated for it.

00:34:02.889 –> 00:34:04.529

I think that's the big thing,

00:34:05.129 –> 00:34:05.489

Alastair: right?

00:34:05.519 –> 00:34:05.829

Yeah.

00:34:06.299 –> 00:34:10.829

And so for me, if I, if I dictate for an hour.

00:34:10.999 –> 00:34:13.369

As I'm driving on a topic, right?

00:34:13.379 –> 00:34:18.809

And let's say I dictate an hour is about, um, like 000 words, something like that.

00:34:18.809 –> 00:34:22.479

Maybe, maybe not, not that many, but in a somewhere around that, right.

00:34:22.549 –> 00:34:25.779

And if I dictate for an hour about a topic and I, and I come up,

00:34:25.779 –> 00:34:27.059

but let's say it's 8, 000 words.

00:34:27.409 –> 00:34:27.619

Yeah.

00:34:27.619 –> 00:34:31.319

And then I put that through generative AI, it mightn't go through chat,

00:34:31.319 –> 00:34:32.449

GPT might be too much for that.

00:34:32.819 –> 00:34:37.869

Um, but I boil that down and I clean that up and I use it to reformat it and put in

00:34:37.869 –> 00:34:39.969

the nice headings and things like that.

00:34:40.624 –> 00:34:41.904

My argument is I wrote that.

00:34:42.564 –> 00:34:43.894

Those ideas came from me.

00:34:44.184 –> 00:34:48.104

The, the, the order that things came in came from me, the ideas.

00:34:48.609 –> 00:34:53.429

And the fact that I had an editor come around afterwards, humans have

00:34:53.429 –> 00:34:56.499

been doing that forever, where we've been giving content to editors and

00:34:56.499 –> 00:34:57.559

getting them to clean up after us.

00:34:57.859 –> 00:34:58.959

We're still saying we wrote it.

00:34:59.259 –> 00:34:59.489

This

00:34:59.489 –> 00:35:02.199

Joe: is the most, this is your most compelling argument, right?

00:35:03.029 –> 00:35:05.059

Because you've put in an hour's worth of work.

00:35:06.209 –> 00:35:09.079

And like, yeah, my book, my last book, right.

00:35:09.129 –> 00:35:12.239

Uh, uh, HTML and CSS, a visual quick start guide.

00:35:13.229 –> 00:35:15.079

I wrote, I say, I wrote that book.

00:35:15.419 –> 00:35:25.129

I'm the only author on that book, but my editor reworded large swaths of that book.

00:35:25.649 –> 00:35:27.659

And this was actually something I wrestled with.

00:35:27.659 –> 00:35:29.329

I was like, can I even say I wrote this?

00:35:29.329 –> 00:35:31.039

Like he rewrote this basically.

00:35:31.059 –> 00:35:32.249

Can I say I wrote it?

00:35:32.799 –> 00:35:36.959

Um, but ultimately we both like, that's the job he's in.

00:35:37.059 –> 00:35:37.389

Right.

00:35:37.579 –> 00:35:38.549

We both agreed.

00:35:39.309 –> 00:35:47.449

That I wrote it because I put together the outline, I ordered everything, I wrote the

00:35:47.449 –> 00:35:54.589

code, I put the ideas down, and then he restructured it in the format of that book

00:35:54.589 –> 00:35:55.129

Alastair: series.

00:35:56.069 –> 00:36:00.939

And the other argument there is, if you hadn't done your part, then your

00:36:01.169 –> 00:36:02.699

editor could not have done their part.

00:36:02.719 –> 00:36:03.049

You're right,

00:36:03.059 –> 00:36:04.889

Joe: he would not have been able to do his part.

00:36:05.314 –> 00:36:05.894

And,

00:36:05.974 –> 00:36:11.324

Alastair: and, and, and so the issue right now is, is I think that what we

00:36:11.324 –> 00:36:16.744

are creating with AI for the most part, if you're an expert in your field,

00:36:17.054 –> 00:36:20.824

what you are going to create with AI is going to be vastly different than

00:36:20.834 –> 00:36:25.214

somebody who is not an expert in the field because they're not going to know

00:36:25.224 –> 00:36:29.334

when it gives you some sort of mediocre, bland output that that isn't good enough.

00:36:29.504 –> 00:36:29.784

Right.

00:36:30.054 –> 00:36:32.864

Whereas an expert will look at the output and say, actually, it's missing

00:36:32.864 –> 00:36:36.694

something really fundamental or something that I feel is fundamental to my

00:36:36.694 –> 00:36:38.314

distinct point of view on this topic.

00:36:39.764 –> 00:36:43.444

And once you add that, then I think you've got something valuable.

00:36:43.694 –> 00:36:48.104

And then it, it, it, it then goes to the kind of like the value pricing

00:36:48.104 –> 00:36:52.864

versus hourly pricing discussion where, um, and, and just to summarize that

00:36:52.864 –> 00:36:57.264

really quickly, the, um, the, that argument is you shouldn't bill people.

00:36:57.924 –> 00:37:00.974

Hourly because it shouldn't matter how long something takes.

00:37:01.024 –> 00:37:04.854

It should matter how valuable the output is to to your client.

00:37:05.114 –> 00:37:10.034

And in fact, like, for example, if I'm editing a video for somebody, let's say

00:37:10.054 –> 00:37:14.534

it takes me two hours and I'm able to find a tool that lets me do it in one hour.

00:37:15.304 –> 00:37:18.574

Should I continue to do it the slow way and charge them twice as much?

00:37:18.674 –> 00:37:21.724

And that's where the ethics of hourly billing come in.

00:37:21.994 –> 00:37:25.354

And that's why Jonathan Stark talks about that on his show, Ditching Hourly.

00:37:25.674 –> 00:37:31.489

Um, but so, so in the same way, like, You know, should we avoid

00:37:31.489 –> 00:37:33.969

using these tools that help us to do these things much quicker?

00:37:34.009 –> 00:37:39.559

I mean, and, and, um, I think that there's a connection between those concepts.

00:37:39.899 –> 00:37:42.869

So I haven't articulated that very well, but I think that, you know, that

00:37:42.989 –> 00:37:47.689

the like, we shouldn't necessarily have to do things the slow way in

00:37:47.689 –> 00:37:49.679

order to claim the value of the work.

00:37:49.679 –> 00:37:51.539

It should be about the value of the output.

00:37:52.284 –> 00:37:53.224

And is this good?

00:37:53.224 –> 00:37:53.944

I put not.

00:37:54.454 –> 00:37:57.554

Did you write this or did you run the marathon manually?

00:37:58.004 –> 00:37:59.984

Like if it depends on the goal, right?

00:38:00.104 –> 00:38:03.784

If the goal is to run the marathon in order for to have the

00:38:04.034 –> 00:38:06.824

achievement of the health and the fitness, then that's one thing.

00:38:07.374 –> 00:38:09.904

If the goal is to get 26.

00:38:10.054 –> 00:38:11.519

12 miles, yeah, 26.

00:38:11.519 –> 00:38:11.644

1.

00:38:12.419 –> 00:38:13.029

Yeah.

00:38:13.029 –> 00:38:14.929

If the goal is to just travel a, to be 26.

00:38:14.929 –> 00:38:19.709

1 miles, then yeah, if we can, you know, if we, if we can use a jet pack to get

00:38:19.709 –> 00:38:22.279

there, um, we, we've got there in the end.

00:38:22.349 –> 00:38:23.919

So that's all that matters.

00:38:23.999 –> 00:38:26.459

You know, that's, that, that's my argument on that is like,

00:38:26.709 –> 00:38:28.419

it's what's the value of the

00:38:28.509 –> 00:38:29.739

Joe: 26.

00:38:29.739 –> 00:38:30.569

Alastair: 2.

00:38:30.569 –> 00:38:30.859

Okay.

00:38:30.899 –> 00:38:31.999

I should, I should know this.

00:38:31.999 –> 00:38:33.919

I volunteered at Dublin Marathon two weeks ago.

00:38:33.919 –> 00:38:42.489

Um, anyway, uh, So, so yeah, so, so for me, it's, it's like, what's the value

00:38:42.489 –> 00:38:44.949

of the output and, and is the output.

00:38:45.389 –> 00:38:49.239

And then I guess the argument is who's, who are we talking about the

00:38:49.239 –> 00:38:52.559

value to, are we talking about the value to the consumer of the, of the

00:38:52.559 –> 00:38:54.579

output or to the creator of the output?

00:38:54.579 –> 00:39:00.369

Because then it brings back in the issue of learning from the writing process.

00:39:00.869 –> 00:39:01.219

Right.

00:39:01.339 –> 00:39:02.949

And that wraps back around to what we talked about at the

00:39:02.959 –> 00:39:04.449

start learning from writing.

00:39:04.794 –> 00:39:05.484

Joe: Yes.

00:39:05.934 –> 00:39:07.594

And I, I, I think you're right.

00:39:07.644 –> 00:39:08.034

Right.

00:39:08.104 –> 00:39:11.314

Again, like if, if your goal is just to cover the distance, do whatever

00:39:11.314 –> 00:39:12.524

you need to do to cover the distance.

00:39:12.524 –> 00:39:12.764

Right.

00:39:13.254 –> 00:39:16.564

But I don't think just covering the distance.

00:39:17.019 –> 00:39:18.119

Should be celebrated.

00:39:18.119 –> 00:39:20.229

I think this is really where I'm at, right?

00:39:20.729 –> 00:39:25.659

If someone's gonna wear the badge of honor for doing a marathon, for running

00:39:25.659 –> 00:39:27.719

a marathon, then they need to run it.

00:39:28.059 –> 00:39:34.809

Just like if somebody is wearing the badge of, I authored this book, right?

00:39:35.289 –> 00:39:42.189

Then they need to Let's take your dictated example, right?

00:39:42.249 –> 00:39:44.629

I will, I will cede this point to you.

00:39:45.579 –> 00:39:49.749

They need to get all of the ideas down there.

00:39:49.789 –> 00:39:52.459

The book needs to be fully their ideas.

00:39:53.189 –> 00:39:55.529

They can't say chat GPT.

00:39:55.689 –> 00:39:57.529

I'm writing a book about podcasting.

00:39:57.839 –> 00:40:00.259

Chapter one is how to start a podcast.

00:40:00.589 –> 00:40:03.979

Right that chapter and then slap their name on it.

00:40:05.189 –> 00:40:09.529

This is I am I am Unmoving in that opinion.

00:40:10.249 –> 00:40:10.639

Alastair: Okay.

00:40:10.659 –> 00:40:14.929

So what about they say chapter one is going to be you know How to write

00:40:14.929 –> 00:40:19.699

a pot how to create a podcast here are The five sections I'm going to

00:40:19.699 –> 00:40:23.869

have in this chapter, can you think of anything I might have missed?

00:40:25.329 –> 00:40:28.839

Joe: That's ideation and I think it's, I think chat, GBT is,

00:40:28.839 –> 00:40:30.879

or AI in general is great for

00:40:30.879 –> 00:40:31.149

Alastair: that.

00:40:31.299 –> 00:40:31.569

Mm-Hmm.

00:40:32.149 –> 00:40:32.479

Yeah.

00:40:32.484 –> 00:40:35.389

And, and so what we're talking about then, like, see there's

00:40:35.389 –> 00:40:36.829

a lot of nuance to this really.

00:40:36.949 –> 00:40:37.544

There's a lot there.

00:40:37.694 –> 00:40:39.649

Joe: This argument there is just like, I, I mean like

00:40:39.654 –> 00:40:40.704

nothing's black and white, right?

00:40:40.844 –> 00:40:41.264

Mm-Hmm.

00:40:41.344 –> 00:40:43.204

like, um, but there is, right?

00:40:43.739 –> 00:40:46.019

Am I, am I cheating by wearing running shoes?

00:40:46.314 –> 00:40:47.184

In a marathon?

00:40:47.464 –> 00:40:48.034

No.

00:40:48.524 –> 00:40:49.654

It'd be crazy to run barefoot.

00:40:49.814 –> 00:40:52.834

Alastair: Do you know that there are running shoes that have these

00:40:52.854 –> 00:40:56.794

kind of composed blades of carbon that actually make you run faster?

00:40:57.084 –> 00:41:00.794

That costs lots and lots of money, but that Oh, no, I didn't know that.

00:41:00.844 –> 00:41:04.244

Yeah, they've helped them break the two hour mark on the marathon.

00:41:05.714 –> 00:41:06.024

Yeah.

00:41:06.314 –> 00:41:07.704

So, um, so there you go.

00:41:07.704 –> 00:41:08.144

I don't know.

00:41:08.284 –> 00:41:11.674

I don't know how long a marathon is, but I know that you can get shoes that,

00:41:11.864 –> 00:41:13.504

that will actually make you faster.

00:41:13.514 –> 00:41:13.804

Right.

00:41:14.174 –> 00:41:14.554

Yeah.

00:41:14.794 –> 00:41:16.484

Joe: Well, it's just like, you know, in baseball, right.

00:41:16.484 –> 00:41:19.604

Is, is taking performance enhancing drugs, cheating.

00:41:20.224 –> 00:41:22.954

Like can you, can you say you hit those, you still have the mechanics.

00:41:23.649 –> 00:41:24.199

I don't know.

00:41:24.929 –> 00:41:25.549

Yeah.

00:41:26.419 –> 00:41:26.799

Alastair: Yeah.

00:41:26.859 –> 00:41:28.249

And, and yeah, okay.

00:41:28.249 –> 00:41:30.539

That, that's a whole, a whole thing.

00:41:30.689 –> 00:41:32.079

Are we using performance enhancing

00:41:32.079 –> 00:41:32.439

Joe: AI?

00:41:32.489 –> 00:41:32.799

You know?

00:41:32.929 –> 00:41:33.169

Yeah.

00:41:33.379 –> 00:41:34.229

Yeah, exactly.

00:41:34.489 –> 00:41:34.829

So, yeah.

00:41:35.109 –> 00:41:38.639

But I would say for your example, like I use, I use chat GPT for.

00:41:39.109 –> 00:41:45.179

Ideation all the time because I'm just me and that's what it's great for, right?

00:41:45.179 –> 00:41:50.949

Because it has all of this information at your fingertips.

00:41:51.649 –> 00:41:55.029

So I think that that example is great.

00:41:55.119 –> 00:41:57.979

You're essentially in training mode at that point, right?

00:41:58.409 –> 00:41:59.979

If we're going to beat this analogy to death.

00:42:00.009 –> 00:42:04.869

Alastair: Then the next step there is, so we're using it for, we're

00:42:04.869 –> 00:42:08.429

using it for ideas and then are we.

00:42:09.599 –> 00:42:13.159

Are we using it to, uh, what's the word?

00:42:13.399 –> 00:42:18.809

Um, so, so if, if we're using it, like we're saying, Hey, oh, I forgot that.

00:42:18.839 –> 00:42:21.769

Please, please add that to the list and write a section on it.

00:42:22.609 –> 00:42:25.149

And at that point, you're saying it's moving out of ideation

00:42:25.189 –> 00:42:26.749

into writing it for you.

00:42:27.189 –> 00:42:27.409

Joe: Right.

00:42:27.419 –> 00:42:27.799

Right.

00:42:27.879 –> 00:42:30.699

Because now it's thought of it and is doing the work for you.

00:42:30.729 –> 00:42:31.049

Right.

00:42:31.389 –> 00:42:35.129

If it's just like, Oh, I forgot that like, Oh, live shows is a

00:42:35.129 –> 00:42:36.719

way to make money with podcasts.

00:42:36.759 –> 00:42:37.079

Yeah.

00:42:37.209 –> 00:42:40.209

But, and then I say, write a section on live, that's not like, that's not me

00:42:40.379 –> 00:42:40.629

Alastair: anymore.

00:42:40.639 –> 00:42:44.359

If, if you know that, if you know, live shows inside out and you get it

00:42:44.359 –> 00:42:48.455

to write that and they say, Oh, you know, and this is, this is actually

00:42:48.455 –> 00:42:53.129

my point is ultimately it should be about the human doing the QA, the

00:42:53.129 –> 00:42:55.769

quality assurance on the products.

00:42:55.999 –> 00:42:59.649

On the output and if we have the human doing the quality assurance,

00:42:59.709 –> 00:43:03.939

the key way on everything that it outputs and that human being signs

00:43:03.939 –> 00:43:08.749

off and says, yes, I, you know, I put my stamp of approval by by publishing

00:43:08.749 –> 00:43:11.049

this or doing whatever I do then.

00:43:12.504 –> 00:43:16.894

Like, surely that's, you've written it because you, you, you have brought

00:43:16.954 –> 00:43:20.874

most of the ideas to the table, you've edited it using whatever tool you

00:43:20.874 –> 00:43:25.574

used, be it, you know, a text editor or a magnet to use the ones and zeros

00:43:25.594 –> 00:43:28.514

manually, if you really want to do that, you know, but you've, you've

00:43:28.584 –> 00:43:33.514

edited it in some way and then you've, uh, you've, you've QA'd it by going

00:43:33.514 –> 00:43:34.744

over it and then you've published it.

00:43:35.299 –> 00:43:37.599

So, but, but I think, where's the,

00:43:37.679 –> 00:43:38.609

Joe: where's the line there?

00:43:38.799 –> 00:43:40.529

I, so I think at that point, right?

00:43:41.019 –> 00:43:45.019

Cause are, so let me ask you, are, are your books all self published?

00:43:45.799 –> 00:43:49.759

Alastair: Uh, I have, uh, I have one book that is hybrid.

00:43:49.939 –> 00:43:52.399

One book is commercially published and the rest are self published.

00:43:52.849 –> 00:43:53.349

Joe: Okay, cool.

00:43:53.349 –> 00:43:57.009

So, so, you know, the commercial publishing process, which is author

00:43:57.009 –> 00:43:59.639

writes the book, send it to copy editor.

00:44:00.039 –> 00:44:01.769

Or let's say prime editor one.

00:44:02.179 –> 00:44:04.589

If it's a technical book, then it goes to the technical editor.

00:44:05.089 –> 00:44:07.219

Then it goes back to prime editor and back to you.

00:44:07.219 –> 00:44:08.789

Then it goes to a second copy editor.

00:44:10.089 –> 00:44:14.449

The process you just described, in my mind, removes the author completely.

00:44:15.399 –> 00:44:16.569

ChatGPT wrote it.

00:44:16.579 –> 00:44:17.859

We're sending it to an editor.

00:44:17.859 –> 00:44:19.219

We're sending it to a tech editor.

00:44:19.219 –> 00:44:20.269

And then we

00:44:20.269 –> 00:44:20.869

Alastair: have a book.

00:44:21.529 –> 00:44:24.139

Yeah, I, I, I didn't remove it in, in my head.

00:44:24.139 –> 00:44:26.919

I didn't remove it because the person writing it was the person

00:44:26.919 –> 00:44:28.269

who gave those initial ideas.

00:44:28.509 –> 00:44:30.109

Just like in your example where.

00:44:30.324 –> 00:44:32.424

You, you wrote it and your editor fixed it.

00:44:35.064 –> 00:44:39.004

Joe: But, but like if, I mean, if I just say chat GPT, write a

00:44:39.004 –> 00:44:43.794

chapter and then I give it a quick once over and send it to my editor.

00:44:44.404 –> 00:44:45.934

Alastair: So what if it's not a quick once over?

00:44:46.244 –> 00:44:50.994

What if, what if you then say, uh, okay, section.

00:44:51.304 –> 00:44:54.784

8 should be removed.

00:44:54.784 –> 00:44:55.594

We don't need those.

00:44:55.924 –> 00:44:58.294

Um, you missed out on this topic entirely.

00:44:58.294 –> 00:44:59.644

Please add that into the list.

00:44:59.934 –> 00:45:03.084

And then I don't agree with what you said on, on section 1.

00:45:03.084 –> 00:45:03.094

4.

00:45:03.094 –> 00:45:04.434

So please update it to say this.

00:45:04.734 –> 00:45:08.744

And by the way, that's a very realistic sounding example of what I've done with.

00:45:09.069 –> 00:45:09.909

That kind of I put,

00:45:11.109 –> 00:45:14.159

Joe: I think at that point you might as well just write it yourself.

00:45:14.559 –> 00:45:18.299

Alastair: Well, you see, my argument is no, you shouldn't because then like

00:45:18.329 –> 00:45:21.839

that, that's, that's like going to the farmer and saying, Hey, get out

00:45:21.839 –> 00:45:24.919

of that tractor and here's a spade and do your entire field manually.

00:45:25.199 –> 00:45:26.909

It's so much quicker not to do that.

00:45:27.889 –> 00:45:34.309

Joe: I think it's, I think, I think that's a different knowledge.

00:45:34.459 –> 00:45:38.149

This is the hard part of what we're doing with our real world analogies, right?

00:45:39.299 –> 00:45:40.439

Knowledge work.

00:45:40.789 –> 00:45:46.009

Is very different from manual labor with knowledge work.

00:45:46.559 –> 00:45:49.359

It's, it is our knowledge that is the work.

00:45:49.609 –> 00:45:54.979

And so like by saying, chat, GBT, write something.

00:45:55.039 –> 00:45:56.309

Oh, I don't like these things.

00:45:56.309 –> 00:45:57.109

Change that.

00:45:57.669 –> 00:46:00.499

I still don't think the human did writing.

00:46:01.249 –> 00:46:03.369

They just kind of said, do, do that, right?

00:46:03.369 –> 00:46:04.219

It's the difference between the

00:46:04.219 –> 00:46:05.459

Alastair: visionary and the worker.

00:46:05.499 –> 00:46:09.009

It's it's my argument is maybe the human didn't write it, but they might as well

00:46:09.019 –> 00:46:12.539

have, because the output, the quality of the output is going to be the same.

00:46:13.304 –> 00:46:14.494

And, and I

00:46:14.544 –> 00:46:17.484

Joe: don't think the, I don't feel like the quality of the

00:46:17.484 –> 00:46:18.564

output is the same, right?

00:46:18.564 –> 00:46:25.374

Because you can't tell chat GPT, Hey, um, to drive home my point here.

00:46:25.384 –> 00:46:30.514

I want to tell a story about how, um, I refuse to record a podcast with

00:46:30.514 –> 00:46:31.904

somebody who wasn't wearing headphones.

00:46:32.439 –> 00:46:34.619

Tell that story, like I would tell it.

00:46:35.009 –> 00:46:36.559

Chat GPT could never do that.

00:46:37.209 –> 00:46:37.669

Right?

00:46:39.159 –> 00:46:42.249

Alastair: So I think, like, Unless you give it the details of the story.

00:46:42.539 –> 00:46:42.829

Unless

00:46:42.829 –> 00:46:44.039

Joe: you write the story for it.

00:46:44.449 –> 00:46:46.199

Alastair: Well, you tell it the story, right?

00:46:46.449 –> 00:46:46.969

Sure.

00:46:47.439 –> 00:46:48.529

Joe: You write it and then Joe,

00:46:48.899 –> 00:46:51.499

Alastair: this is gonna be super long if we don't agree to disagree.

00:46:52.189 –> 00:46:55.359

Joe: We're gonna, yeah, we, we Respectfully agree to disagree

00:46:55.359 –> 00:46:55.639

Alastair: here.

00:46:55.699 –> 00:46:56.079

Yeah.

00:46:56.469 –> 00:46:57.679

I'm going to bring up a comment.

00:46:57.759 –> 00:46:59.309

Uh, we have a comment on a LinkedIn.

00:47:00.149 –> 00:47:03.679

Brian, I use chat GPT to research the fundamentals of my profession,

00:47:03.679 –> 00:47:04.659

which is management consulting.

00:47:04.689 –> 00:47:07.609

In my experience, most managers have never mastered the fundamentals.

00:47:07.969 –> 00:47:10.749

Much like many people, I include myself who never measured

00:47:10.749 –> 00:47:12.229

the fundamentals of golf.

00:47:12.289 –> 00:47:20.249

Um, yeah, so, uh, Researching fundamentals and researching and learning.

00:47:20.359 –> 00:47:26.359

So learning and ideation are, are, are something that we, we certainly can agree

00:47:26.359 –> 00:47:28.329

on that we should be using it for that.

00:47:29.759 –> 00:47:30.369

Absolutely.

00:47:30.764 –> 00:47:31.144

Absolutely.

00:47:31.194 –> 00:47:35.744

I think, I think where, where we differ is the level.

00:47:35.754 –> 00:47:39.504

And I like the term assistive AI, uh, because that's the way I think

00:47:39.504 –> 00:47:42.324

that we should be using, we should be using it to the heavy lifting,

00:47:42.514 –> 00:47:44.804

like in, in the terrible analogies.

00:47:44.804 –> 00:47:47.994

And just like all analogies, no, no analogy is perfect.

00:47:47.994 –> 00:47:51.844

But I think that, uh, you know, some analogies are better than others.

00:47:51.894 –> 00:47:54.964

And it's hard to find analogies for this just because of what it is.

00:47:55.344 –> 00:47:57.384

But, you know, um, yeah.

00:47:59.604 –> 00:48:04.234

The way that I see it, we should be using it to assist us and not replace us.

00:48:04.484 –> 00:48:09.664

And I think that it's going to be a very long time before the ideas

00:48:09.834 –> 00:48:11.604

that chat GPT can come up with.

00:48:12.124 –> 00:48:17.934

Or whatever AI any generative AI comes up with on its own from it's it's learning

00:48:17.934 –> 00:48:22.224

data set, whatever it's trained on are going to match what an expert will come

00:48:22.224 –> 00:48:29.914

up with what it will do is help us to reformat and read and edit and tweak and,

00:48:30.204 –> 00:48:34.324

um, take a blog post and, Hey, I wrote a, I wrote a blog post on this and I want

00:48:34.324 –> 00:48:35.884

to fit it into the middle of this book.

00:48:36.104 –> 00:48:39.484

Can you tell me how to, uh, You know, like, what do I need to add?

00:48:39.504 –> 00:48:40.634

What do I need to remove?

00:48:40.844 –> 00:48:44.244

So that this blog post can, can then become a chapter of this book.

00:48:44.244 –> 00:48:46.574

Here's the rest of the book, something like that.

00:48:46.574 –> 00:48:49.594

I feel again, I feel, well, you wrote the blog, the blog post, you wrote the book.

00:48:49.854 –> 00:48:52.544

All you're doing is you're using it as a very smart editor.

00:48:52.854 –> 00:48:55.414

I think in that scenario that, that, that it's absolutely

00:48:55.424 –> 00:48:56.334

fine to say you wrote that.

00:48:56.864 –> 00:48:58.214

That's, that, that's my perspective on

00:48:58.214 –> 00:48:58.504

Joe: that.

00:48:59.204 –> 00:49:03.604

Yeah, I think, I think we agree on use it for a very smart

00:49:03.624 –> 00:49:06.184

editor where we disagree is.

00:49:06.474 –> 00:49:11.664

It's how hands on either the editor is or how hands on we are.

00:49:12.194 –> 00:49:14.794

Um, yeah, I, I really think that's where we differ.

00:49:14.794 –> 00:49:23.194

And for me, it's, it's really about if you're, if you're looking for me, it's

00:49:23.194 –> 00:49:27.564

really about the, the, the personal connections and experiences, right?

00:49:28.044 –> 00:49:33.004

I, we can, I'm very confident that we'll never be able to tell AI unless

00:49:33.004 –> 00:49:37.594

there's a little, unless the humane pin is becomes a little brain chip.

00:49:37.784 –> 00:49:38.234

Right?

00:49:38.674 –> 00:49:47.094

Um, Which I just scared myself, um, we'll never be able to say, Hey,

00:49:47.104 –> 00:49:48.834

here's all of my personal experience.

00:49:48.834 –> 00:49:54.094

Now tell a story the way I, I think that it's still, that's still

00:49:54.164 –> 00:49:55.874

something that is uniquely human.

00:49:56.524 –> 00:49:56.864

Alastair: Yeah.

00:49:57.214 –> 00:49:59.764

And, and like, we shouldn't want to

00:49:59.764 –> 00:50:00.054

Joe: do that.

00:50:00.284 –> 00:50:00.564

Right.

00:50:00.564 –> 00:50:01.584

Yeah, absolutely.

00:50:01.614 –> 00:50:01.824

Right.

00:50:01.834 –> 00:50:02.064

That's.

00:50:02.344 –> 00:50:05.404

Yeah, that goes back to our, when do we lose our humanity?

00:50:05.434 –> 00:50:05.724

Right.

00:50:06.344 –> 00:50:06.654

So

00:50:07.474 –> 00:50:12.444

Alastair: who got, this has been a, has been a fun one and it's a bit deep.

00:50:12.804 –> 00:50:14.804

Um, Joe, we're recording this.

00:50:14.834 –> 00:50:15.694

We're live streaming.

00:50:15.904 –> 00:50:18.964

We're recording this for my podcast, the recognized authority and for

00:50:18.964 –> 00:50:20.404

your podcast, how I built this.

00:50:20.879 –> 00:50:21.639

How I built it.

00:50:22.189 –> 00:50:26.829

Um, can you, can you tell listeners and viewers where to find you?

00:50:27.619 –> 00:50:28.069

Joe: Yeah.

00:50:28.069 –> 00:50:32.529

So you can find all of my writing over at casabona.

00:50:32.559 –> 00:50:32.939

org.

00:50:33.219 –> 00:50:35.569

And of course my podcast is called how I built it.

00:50:36.099 –> 00:50:39.689

Um, and you can find that wherever podcasts are

00:50:40.159 –> 00:50:40.599

Alastair: found.

00:50:41.229 –> 00:50:41.649

Awesome.

00:50:41.809 –> 00:50:44.089

And you can find me at the recognized authority.

00:50:44.259 –> 00:50:44.559

com.

00:50:45.009 –> 00:50:46.129

Thanks for tuning in.

00:50:46.999 –> 00:50:47.929

Joe: Thanks so much, everybody.

00:50:47.939 –> 00:50:48.609

Thanks Alistair.

00:50:49.869 –> 00:50:50.309

Alastair: Thanks Joe.

00:50:50.851 –> 00:50:51.421

Joe: All right.

00:50:51.421 –> 00:50:55.141

I really hope you enjoyed that ad free bonus episode.

00:50:55.711 –> 00:50:57.391

Of how I built it.

00:50:57.841 –> 00:50:59.611

Slash the recognized authority.

00:51:00.091 –> 00:51:05.551

Uh, you can find allister@therecognizedauthority.com.

00:51:05.581 –> 00:51:08.581

I'll put that in the description for this episode, and I'd

00:51:08.581 –> 00:51:10.381

love to hear what you think.

00:51:10.651 –> 00:51:14.371

Let me know your thoughts on AI in writing what you thought about my

00:51:14.371 –> 00:51:16.051

arguments and Alistair's arguments.

00:51:16.051 –> 00:51:20.281

You can find me on most social media at J Casabona, or you

00:51:20.281 –> 00:51:24.901

can email me joe@casabona.org, but that's it for this episode.

00:51:24.901 –> 00:51:26.071

Thanks so much for listening.

00:51:26.071 –> 00:51:27.091

And until next time.

00:51:27.421 –> 00:51:29.491

I get out there and build something.

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