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.
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Transcript
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.
00:10:40.534 –> 00:10:43.954
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.
00:11:15.764 –> 00:11:19.104
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
00:11:35.874 –> 00:11:38.884
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.
00:11:48.974 –> 00:11:51.464
I think it's called how to measure anything, but he said, can you
00:11:51.464 –> 00:11:55.484
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,
00:12:15.994 –> 00:12:21.014
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?
00:12:22.594 –> 00:12:23.184
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.

