Latest / Substack Writers Salon / The AI Tools Every Writer Needs Right Now (And the Dangers We Can’t Ignore)

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The AI Tools Every Writer Needs Right Now (And the Dangers We Can’t Ignore) · Substack Writers Salon

• 0:00
  okay and we are live hello everyone i have with me today a pro
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  his name is terry
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  brooke who brings together a deep passion for technology a
• 0:11
  strong sense of history
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  and real world business strategy he's not just a tech trends
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  expert he's a speaker
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  SPEAKER_02: author interviewer and a coach he
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  SPEAKER_02: He's also the founder of Star Craving Entrepreneurs,
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  SPEAKER_02: a community built around live-and-let-live philosophy.
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  SPEAKER_02: Lately,
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  his focus has been on AI and how creators and founders can use
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  tools like YouTube,
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  SPEAKER_02: podcasting,
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  SPEAKER_02: and others.
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  SPEAKER_02: Terry,
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  so glad to have you here joining me for another episode of the
• 0:41
  Writer'sSubstack
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  SPEAKER_02: Salon.
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  SPEAKER_02: I'm so excited to have someone of your caliber.
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  SPEAKER_02: I'm humbled, actually, by your presence.
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  SPEAKER_02: I'm so glad to see you here, Terry.
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  SPEAKER_00: Well, Natasha, I'm just delighted to be here with you.
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  SPEAKER_00: Let's make some magic today and give some real value to the folks there.
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  SPEAKER_00: Looking forward to it.
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  SPEAKER_02: Exactly.
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  SPEAKER_02: I mean, everyone hear this radio voice.
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  SPEAKER_02: Isn't he a pro?
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  SPEAKER_02: Anyway,
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  SPEAKER_02: Terry,
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  so the talk of the hour and all the questions that I get from
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  everyone is AI,
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  SPEAKER_02: AI,
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  SPEAKER_02: AI.
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  SPEAKER_02: Okay?
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  SPEAKER_02: I wonder that somewhere.
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  SPEAKER_00: Yeah, somewhere I think.
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  SPEAKER_02: Unless you're living under a rock.
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  SPEAKER_02: Exactly.
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  SPEAKER_02: And everyone, so there's two opinions.
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  SPEAKER_02: Some people are overwhelmed.
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  SPEAKER_02: Some people are scared of it.
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  SPEAKER_02: Some people are skeptical.
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  SPEAKER_02: There are like some anti-AI, let's say activists who like really hate AI.
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  i am someone who loves ai and i'm not ashamed of saying it i'm
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  very open about it
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  and i use it in everything so um and we for anyone who's
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  watching we actually met
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  um last a couple of weeks ago in florida at the pot fest
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  festival he was one of the
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  main speakers um so of course i invited him to join me today so
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  that can everyone
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  SPEAKER_02: can learn from my expertise
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  SPEAKER_02: All right,
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  SPEAKER_02: Terry,
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  I think my first question today is if you want to talk about
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  the main AI tools that
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  SPEAKER_02: every creator should use right now,
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  SPEAKER_02: and if they're not using it,
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  SPEAKER_02: they're missing out,
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  SPEAKER_02: they're going to fall behind,
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  SPEAKER_02: they're going to be replaced by AI creators.
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  SPEAKER_02: What are these top tools that everyone has to pick up right now?
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  Well,
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  I think a classic answer to that,
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  as we use with many things,
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  is it depends.
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  Because what might be good for someone in this case wouldn't be
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  as good as someone
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  SPEAKER_00: using this other tool.
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  SPEAKER_00: Now, of course, chat GPT is the standard.
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  SPEAKER_00: We know that it's been used for many different things.
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  SPEAKER_00: That's almost a given right there.
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  But sometimes you might need a tool that really is good for
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  audio,
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  for voices.
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  SPEAKER_00: There's a tool called 11 Labs,
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  and it gives the ability to clone your voice and then use that
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  again or use others.
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  SPEAKER_00: If that's what you're doing, hey, that would be a must have.
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  SPEAKER_00: Whereas someone else might be really deep into graphics.
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  SPEAKER_00: And so they can use many tools that are out there for that.
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  SPEAKER_00: One of the most popular,
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  SPEAKER_00: Gemini from Google,
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  SPEAKER_00: that gives you the ability through their tool called Nano Banana Pro.
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  SPEAKER_00: Clever name.
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  SPEAKER_00: I love that.
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  SPEAKER_00: Nano Banana.
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  SPEAKER_00: And then it gives you that capability.
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  SPEAKER_00: But then ChatGPT also has the ability to do it.
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  SPEAKER_00: So I think what I would do is I would step back a little bit
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  SPEAKER_00: And rather than say, what tool should we get?
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  SPEAKER_00: I would say, what is it that you want to do?
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  SPEAKER_00: What is the problem you're trying to solve?
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  SPEAKER_00: A medical doctor would use some different AI than you and I would use.
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  SPEAKER_00: We as journalists together,
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  SPEAKER_00: we would use certain tools for writing,
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  SPEAKER_00: for spell checking,
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  SPEAKER_00: for grammar,
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  SPEAKER_00: things like that that are important,
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  SPEAKER_00: and for research.
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  So then journalists,
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  when we hear,
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  hey,
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  there's something going on here,
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  really?
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  SPEAKER_00: Well, let me do a little bit of research on this.
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  SPEAKER_00: And it didn't happen yesterday.
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  SPEAKER_00: Let's go back in time.
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  SPEAKER_00: And what led up to that?
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  SPEAKER_00: Or what about these things here and that?
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  SPEAKER_00: And I think that would be good.
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  SPEAKER_00: And then getting multiple tools would be good in journalism, as you know.
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  You don't go out and talk to just one person and say,
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  what is going on in this situation?
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  SPEAKER_00: And she tells you, oh, it's this and this.
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  SPEAKER_00: You go, okay, that's it.
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  SPEAKER_00: We'll come back and write your story.
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  SPEAKER_00: This is what's happening.
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  SPEAKER_00: That would not be a good thing to do.
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  SPEAKER_00: Instead, you talk to this person.
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  SPEAKER_00: It's good.
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  SPEAKER_00: Got her information.
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  SPEAKER_00: What about this one over here too?
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  SPEAKER_00: They don't know each other.
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  SPEAKER_00: They're not cooperating.
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  SPEAKER_00: I want to hear what they say.
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  SPEAKER_00: And then the third one over here,
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  SPEAKER_00: the rule of three in journalism,
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  SPEAKER_00: that we would look at minimum of three.
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  SPEAKER_00: Now, could all three be wrong?
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  SPEAKER_00: Yeah, they could.
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  But it gives us a little more confidence than to write a story
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  saying we hear and
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  SPEAKER_00: there are people that say this,
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  SPEAKER_00: this and this.
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  SPEAKER_00: We've heard that from other sources.
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  We'd still want to look beyond it and keep looking into it to
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  find out,
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  are they real?
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  SPEAKER_00: So in answer to your question, which tools?
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  SPEAKER_00: It would depend on what you're doing.
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  SPEAKER_00: Are you a lawyer or are you a medical doctor?
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  SPEAKER_00: Are you a lawyer?
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  There's going to be different tools that each person in each
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  profession would use.
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  SPEAKER_02: Okay, so let's niche down.
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  SPEAKER_02: My focus,
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  or most of the people in my community that follow my work and I
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  interact with them
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  SPEAKER_02: are writers,
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  SPEAKER_02: authors,
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  SPEAKER_02: people who want to write a book,
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  SPEAKER_02: people who are interested in ghostwriting.
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  So I quizzed my community and that,
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  so they're either authors,
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  aspiring authors,
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  ghostwriters aspiring ghostwriters and based on that what would
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  you tell them the
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  SPEAKER_02: tools that they need right now or else they will fall behind
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  SPEAKER_00: Well, of course, ChatGPT, I think, is doing a very good job right now.
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  And whatever we say right now,
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  later this afternoon,
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  it could be different.
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  SPEAKER_00: There could be a new tool out later on.
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  SPEAKER_00: As we know, things are changing very rapidly.
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  SPEAKER_00: I do like ChatGPT.
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  SPEAKER_00: I think also for writing, Claude has a lot of strength to it.
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  SPEAKER_00: It does very well in looking at the nuances.
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  For me,
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  I've been getting a lot of good results using ChatGPT and
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  Gemini,
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  which is from Google,
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  Because it ties in also to all those other wonderful products
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  that Google has,
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  SPEAKER_00: even using Google Docs,
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  SPEAKER_00: using Calendar,
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  SPEAKER_00: using other tools,
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  SPEAKER_00: tying into the net,
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  SPEAKER_00: of course,
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  SPEAKER_00: to get up to date and soon on news.
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  SPEAKER_00: And I also like to use GROK, G-R-O-K, that's associated with X. Yeah.
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  SPEAKER_00: It has a lot of good things.
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  SPEAKER_00: And one of the things,
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  SPEAKER_00: Natasha,
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  that I like about it is there are many people that don't like
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  it and don't lose it.
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  SPEAKER_00: And I say, that's good.
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  Because there are times they're going to give something on Grok
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  that we don't get from Chad GPT.
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  SPEAKER_00: I give you a good case of study.
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  SPEAKER_00: This is not political.
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  SPEAKER_00: This is just journalist, journalist.
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  SPEAKER_00: And what happened in the news?
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  SPEAKER_00: A few weekends ago,
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  we saw the United States military went into Venezuela and
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  literally captured Maduro
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  SPEAKER_00: and took him back.
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  SPEAKER_00: When that happened,
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  SPEAKER_00: people would go on ChatGPT and say,
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  SPEAKER_00: I heard this is going on,
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  SPEAKER_00: and ChatGPT and others came back saying,
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  SPEAKER_00: no,
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  SPEAKER_00: that is misinformation.
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  SPEAKER_00: It is not happening.
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  Where Grok was saying,
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  yeah,
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  they got him and he's on the ship going back to New York City
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  now.
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  SPEAKER_00: And so this is interesting.
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  SPEAKER_00: It's why as a journalist, I don't want to take just one opinion.
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  SPEAKER_00: Let me hear what this side's saying.
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  SPEAKER_00: Okay, that's good.
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  SPEAKER_00: What about this side here?
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  SPEAKER_00: And then maybe there's a third point of view.
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  SPEAKER_00: Now, I think it depends on what you're looking for.
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  SPEAKER_00: You might go with only one sometimes, maybe two or three.
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  SPEAKER_00: And there might be other times you need more than that.
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  SPEAKER_00: But I think just that is one little case.
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  SPEAKER_00: And that's not a political statement at all.
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  SPEAKER_00: But it's just a certain circumstance happened.
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  SPEAKER_00: It occurred.
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  SPEAKER_00: We know now in hindsight, it really did.
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  SPEAKER_00: It was not misinformation.
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  SPEAKER_00: And yet some places were saying, oh, this is just misinformation.
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  SPEAKER_00: Don't look over there.
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  SPEAKER_00: Reminds me of the Wizard of Oz.
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  SPEAKER_00: Pay no attention to that man behind the curtain over there.
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  SPEAKER_00: No, no.
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  SPEAKER_00: That's when we got to say, whoa, whoa, whoa, whoa.
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  SPEAKER_00: What do you mean about that, Sparky?
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  SPEAKER_00: Hey,
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  SPEAKER_00: hey,
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  I'm going to go over there and take a look at that thing and
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  see what you're
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  SPEAKER_00: talking about that I'm not supposed to see.
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  So I would say have a combination of tools that you can work
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  with,
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  you're familiar with.
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  SPEAKER_00: And as a writer,
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  SPEAKER_00: different points of view.
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  SPEAKER_00: Matter of fact,
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  SPEAKER_00: speaking of writing,
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  SPEAKER_00: every Tuesday,
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  SPEAKER_00: Thursday,
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  SPEAKER_00: Saturday,
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  SPEAKER_00: I have an email that goes out to my list.
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  SPEAKER_00: Talk about what we can do as entrepreneurs,
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  SPEAKER_00: some of the tools that are good,
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  SPEAKER_00: writers,
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  SPEAKER_00: content creators,
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  SPEAKER_00: and as we like to say now,
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  SPEAKER_00: creative conductors.
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  SPEAKER_00: Like an orchestra conductor, we're using all these different tools.
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  I need to submit a rough draft that I write with my voice,
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  my ideas,
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  I put it in there.
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  SPEAKER_00: I have
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  SPEAKER_00: the AI go back like ChatGPT and look at it and revise that.
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  But I send the same thing over to Grok and to perplexity so
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  that that way I'm
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  SPEAKER_00: getting a couple little different opinions.
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  SPEAKER_00: It might take one paragraph that I had and Grok might phrase it this way,
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  SPEAKER_00: whereas perplexity would phrase it just a little bit different.
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  SPEAKER_00: What I would do is take the two of them together
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  SPEAKER_00: Stir it up.
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  SPEAKER_00: And in my crazy little mind, mix it up.
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  SPEAKER_00: So it's something that's a little more like me.
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  SPEAKER_00: I like to, as I like to say, Terry eyes it.
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  SPEAKER_00: So he's got, I just sounds cool.
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  SPEAKER_00: You know, you would want to Natasha.
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  SPEAKER_00: I, you, Isaac, put your own feelings, your thoughts, your foot,
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  SPEAKER_00: your values in there.
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  So I tarry eyes it based on the input from three consultants
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  and counselors who are
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  SPEAKER_00: teaching me certain things.
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  And I will selectively take what they have as a rough draft and
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  then correct my own
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  SPEAKER_00: ideas into it.
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  SPEAKER_02: Is there a tool that combines all of them together?
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  SPEAKER_02: I think I heard of a couple of ones, but I'm not sure.
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  SPEAKER_02: But I don't want to keep jumping between all of them.
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  I want to put my query and I want that query to go through all
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  of them and give me the result.
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  SPEAKER_00: Well, we can try that.
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  The thing is,
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  it'd be like saying,
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  okay,
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  I'm going to have only one device in my kitchen.
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  SPEAKER_00: You can have a dishwasher and nothing else.
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  SPEAKER_00: Or you can have a refrigerator and nothing else.
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  SPEAKER_00: Or you can have heating and nothing else.
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  SPEAKER_00: Well,
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  SPEAKER_00: no,
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  we have different tools and I know enough about the
• 9:51
  refrigerator so I know how to
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  SPEAKER_00: use it.
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  SPEAKER_00: Now,
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  SPEAKER_00: if it gets a serious problem,
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  we have wonderful professionals that can come out and fix the
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  problem in the
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  SPEAKER_00: refrigerator.
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  SPEAKER_00: And so I would say find two to three that are really good,
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  SPEAKER_00: depending on what you're using,
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  SPEAKER_00: you being a writer.
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  SPEAKER_00: You're a writer.
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  SPEAKER_00: I have found that I really like ChatGPT, of course.
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  SPEAKER_00: They go up and down with all the others.
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  Today,
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  this one might be a bit of that one,
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  and then tomorrow they'll come up with this one.
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  SPEAKER_00: But I like that.
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  SPEAKER_00: I like perplexity, particularly for the research.
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  it's well known for that and the reason for me i'm looking for
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  like a browser one
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  browser that searches all of them at the same time and give me
• 10:34
  results of them and
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  i would look at them i like i want one browser that i that goes
• 10:40
  like sends it to
• 10:41
  whatever spiders and goes and get me all of the results i don't
• 10:46
  want to keep have
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  SPEAKER_02: only like opening all these tabs everywhere
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  SPEAKER_00: Oh, I agree.
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  SPEAKER_00: You don't want that.
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  SPEAKER_00: What you could do is a tool like Playground is good.
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  SPEAKER_00: I have seen that.
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  I haven't used it a lot yet,
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  but it does give you a chance to access several different LLOs.
• 11:00
  SPEAKER_00: And you can use that.
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  SPEAKER_00: However, you're not always getting the best.
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  SPEAKER_00: Because you think about it,
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  SPEAKER_00: if you're ChatGPT and someone like Playground comes to you and say,
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  SPEAKER_00: hey,
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  SPEAKER_00: we want to do this.
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  SPEAKER_00: Our people are paying $20 a month to us.
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  We might give you a couple of nickels versus people coming to
• 11:15
  you and paying $20 a month to you.
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  SPEAKER_00: How do you think any business would be motivated?
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  SPEAKER_00: I say,
• 11:22
  SPEAKER_00: well,
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  SPEAKER_00: we might give you something,
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  but you're only going to get this much of what we've got rather
• 11:26
  than the whole
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  SPEAKER_00: thing.
• 11:27
  SPEAKER_00: So I don't know if there's one place you could go,
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  SPEAKER_00: but I would say we need to continually be open to
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  to look at it have one that will do perplexity for instance is
• 11:36
  really good that you
• 11:37
  can check several different llms that you might choose to use
• 11:41
  and i think that's a
• 11:42
  good thing there that we can do it but to find only one and i'm
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  only going to use
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  this one tool you can say if it were chat gpt you're going to
• 11:50
  miss out on sometimes
• 11:51
  on like i mentioned the news story when they get it but someone
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  else didn't you
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  know grok had it a little bit better that time and there might
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  be someone else like
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  SPEAKER_00: for instance i found times
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  when I have a wonderful feature in ChatGPT is it draws graphs
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  and infographics.
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  SPEAKER_00: So that right now,
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  SPEAKER_00: one of the things I'm doing,
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  SPEAKER_00: matter of fact,
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  SPEAKER_00: those of you that are writers that are listening to this,
• 12:13
  you can create wonderful professional quality infographics with
• 12:18
  ChatGPT and also
• 12:21
  with others like Gemini does a really good job with it from
• 12:25
  Google using Nano
• 12:26
  SPEAKER_00: Banana Pro.
• 12:28
  SPEAKER_00: Still like that funny name, it's goofy.
• 12:29
  SPEAKER_00: I love it.
• 12:30
  SPEAKER_00: Nano Banana Pro.
• 12:31
  SPEAKER_00: You say that with a straight name.
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  SPEAKER_00: But what it does is I found sometimes one of them might not work as well.
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  SPEAKER_00: I saw this last weekend that Nano Banana,
• 12:41
  SPEAKER_00: which had been doing very,
• 12:42
  SPEAKER_00: very well for a while,
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  SPEAKER_00: kept giving me a little bit of a problem.
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  SPEAKER_00: So I went over, took the same prompt, and gave it to ChatGPT.
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  SPEAKER_00: It was magnificent.
• 12:52
  SPEAKER_00: And then a week ago,
• 12:53
  SPEAKER_00: I tried it with ChatGPT and it didn't work,
• 12:55
  SPEAKER_00: but Nano Banana worked well for it.
• 12:58
  SPEAKER_00: So I'd be more hesitant to say,
• 13:00
  SPEAKER_00: I only want this one any more than I'd say,
• 13:02
  SPEAKER_00: you can only have one piece of technology in your kitchen.
• 13:06
  SPEAKER_00: You know, you must choose.
• 13:07
  SPEAKER_00: Is it the refrigerator or the dishwasher or a toaster?
• 13:10
  SPEAKER_00: You can't have all of them.
• 13:11
  SPEAKER_00: Well...
• 13:12
  SPEAKER_00: Yeah, you could.
• 13:13
  SPEAKER_00: And just knowing how to do it,
• 13:15
  SPEAKER_00: you don't have to be an expert on how to repair a toaster,
• 13:17
  SPEAKER_00: but just know toaster works this way.
• 13:19
  SPEAKER_00: We put the bread in there.
• 13:21
  SPEAKER_00: It comes out nice and toasty warm.
• 13:23
  SPEAKER_02: Okay.
• 13:24
  SPEAKER_02: So you have a lot of information about AI and I follow your newsletter,
• 13:29
  SPEAKER_02: your YouTube channel,
• 13:30
  SPEAKER_02: like you're a wealth of information.
• 13:32
  SPEAKER_02: So my question is, how are you keeping up?
• 13:35
  SPEAKER_02: And everything is changing every day.
• 13:37
  SPEAKER_02: Where are you getting your information from?
• 13:39
  SPEAKER_02: Like when you wake up in the morning and drink your coffee,
• 13:42
  SPEAKER_02: how is the information input going from where?
• 13:45
  SPEAKER_02: What are your sources?
• 13:46
  SPEAKER_00: Well, it helps when you give up sleep.
• 13:48
  So,
• 13:48
  you know,
• 13:49
  since I've done that other than the quirky,
• 13:50
  no,
• 13:51
  I'm just kidding.
• 13:52
  SPEAKER_00: You're right.
• 13:53
  SPEAKER_00: It is changing so fast.
• 13:54
  SPEAKER_00: It's like, hold on, time out.
• 13:56
  SPEAKER_00: Exactly.
• 13:59
  SPEAKER_02: Where is this, like, where are you gathering this information?
• 14:01
  SPEAKER_02: And then you, you, you curated for your members, correct?
• 14:04
  SPEAKER_02: But where are you getting that information from?
• 14:07
  SPEAKER_02: What's your sources?
• 14:08
  SPEAKER_00: Yeah, I have several sources I go into.
• 14:10
  And I think the first thing,
• 14:11
  even before we say this and this and this,
• 14:13
  mindset.
• 14:14
  SPEAKER_00: Have the mindset that you're willing to learn.
• 14:16
  SPEAKER_00: You want to learn.
• 14:17
  SPEAKER_00: You want to see that, have that open mindset and a hungry mind.
• 14:20
  SPEAKER_00: So you can do that.
• 14:22
  One of the things that I do is I use perplexity and it gives me
• 14:25
  the ability to set
• 14:26
  SPEAKER_00: up tasks,
• 14:28
  SPEAKER_00: T-A-S-K-S,
• 14:30
  SPEAKER_00: in perplexity.
• 14:31
  And I went there and I told it to give me a news report every
• 14:36
  day,
• 14:37
  seven days a week.
• 14:39
  SPEAKER_00: of what's going on in AI tools like chat GPT, perplexity.
• 14:46
  SPEAKER_00: Give me that report at four o'clock in the morning.
• 14:48
  SPEAKER_00: I like to get up and get things done.
• 14:49
  SPEAKER_00: So there.
• 14:50
  SPEAKER_00: Then at 4.30, I get a report on what's happening in crypto.
• 14:54
  SPEAKER_00: So tell me what's happened with Bitcoin.
• 14:56
  SPEAKER_00: And then at five o'clock,
• 14:58
  SPEAKER_00: I'll get a report on what's going on in general business and marketing.
• 15:03
  SPEAKER_00: Now, it gives me just a short little paragraph, one, maybe two sentences.
• 15:08
  SPEAKER_00: But then there's a link at the bottom to get more information.
• 15:12
  I can click on it and go,
• 15:13
  oh,
• 15:14
  OK,
• 15:14
  here's a little more in-depth on the story.
• 15:16
  SPEAKER_00: And
• 15:17
  SPEAKER_00: Here's a link or links to get even more information.
• 15:21
  SPEAKER_00: So the journalist in me can go in there and do the research.
• 15:25
  SPEAKER_00: Say, hmm, that sounds good.
• 15:26
  SPEAKER_00: I don't need that one.
• 15:27
  SPEAKER_00: I don't need that one.
• 15:28
  SPEAKER_00: Oh, but this one right here looks pretty good.
• 15:30
  SPEAKER_00: I need to do that.
• 15:31
  Click,
• 15:32
  and I see a little bit more,
• 15:33
  more in-depth two or three paragraphs.
• 15:35
  SPEAKER_00: And if I like that, then I can go even deeper there.
• 15:39
  SPEAKER_00: So that's a good course using perplexity,
• 15:42
  SPEAKER_00: and you set up the individual tasks,
• 15:44
  SPEAKER_00: depending on your area.
• 15:46
  SPEAKER_00: So if you're a journalist covering the auto market,
• 15:49
  SPEAKER_00: you want to know what's going on in the auto industry.
• 15:52
  SPEAKER_00: Well,
• 15:52
  SPEAKER_00: you can tell that,
• 15:53
  give it the instructions to tell you in depth what's going on
• 15:56
  with Tesla in this
• 15:58
  SPEAKER_00: area,
• 15:58
  SPEAKER_00: with Ford in this area,
• 16:00
  SPEAKER_00: or GM in that,
• 16:00
  SPEAKER_00: and who's doing this or that,
• 16:02
  SPEAKER_00: whatever the terms are in that industry.
• 16:04
  SPEAKER_00: So I think that's a good source.
• 16:05
  SPEAKER_00: And then secondly,
• 16:07
  SPEAKER_00: I,
• 16:07
  SPEAKER_00: every day,
• 16:08
  SPEAKER_00: almost,
• 16:08
  SPEAKER_00: well,
• 16:09
  SPEAKER_00: seven days a week,
• 16:09
  SPEAKER_00: usually,
• 16:10
  SPEAKER_00: I'm doing something over at the University of YouTube.
• 16:14
  I say that with tongue in cheek,
• 16:16
  University of YouTube,
• 16:17
  because we go to YouTube.
• 16:19
  SPEAKER_00: That's where we learn.
• 16:20
  SPEAKER_00: Now, are all the videos good?
• 16:23
  SPEAKER_00: No, some of them are not so good.
• 16:25
  SPEAKER_00: That's okay.
• 16:26
  SPEAKER_00: They have a stop button and they have a new button.
• 16:29
  SPEAKER_00: I noticed there's only 400 billion more.
• 16:31
  SPEAKER_00: I'm only slightly exaggerating.
• 16:33
  SPEAKER_00: 400 billion more videos that they have out there.
• 16:36
  SPEAKER_00: So I can type it.
• 16:37
  Like,
• 16:37
  for instance,
• 16:38
  this morning for breakfast,
• 16:40
  I'm doing a program on notebook LM.
• 16:44
  SPEAKER_00: from Google.
• 16:44
  And so I just typed in notebook LM and it gives me,
• 16:47
  of course,
• 16:48
  a whole bunch of videos.
• 16:49
  SPEAKER_00: I look at them and try to make a decision of what's good.
• 16:52
  SPEAKER_00: And then I usually listen to them at the higher speed.
• 16:56
  SPEAKER_00: So in one X,
• 16:57
  SPEAKER_00: although I do need that sometimes one X,
• 16:59
  SPEAKER_00: I might go at 1.5 or two,
• 17:01
  SPEAKER_00: or sometimes skip past it.
• 17:03
  And that combination of what I'm getting from perplexity with
• 17:06
  all the different
• 17:07
  SPEAKER_00: sources,
• 17:08
  SPEAKER_00: also from the university of YouTube,
• 17:11
  SPEAKER_00: And I'm also open to what others are saying.
• 17:14
  SPEAKER_00: I found that I often will do,
• 17:15
  SPEAKER_00: I've got some prompts that I put into ChatGPT and elsewhere to say,
• 17:19
  SPEAKER_00: tell me what's going on with content creators and creative conductors,
• 17:24
  SPEAKER_00: those are terms that I'm looking for,
• 17:26
  SPEAKER_00: for people and how they're using ChatGPT,
• 17:29
  SPEAKER_00: how they're using perplexity,
• 17:31
  SPEAKER_00: how they're using CastMagic,
• 17:34
  SPEAKER_00: a very popular tool out there in AI,
• 17:38
  SPEAKER_00: and
• 17:38
  SPEAKER_00: Taja, really nice one.
• 17:40
  SPEAKER_00: Not everybody knows about that.
• 17:41
  SPEAKER_00: It's really fabulous for creators, T-A-J-A.
• 17:45
  SPEAKER_00: And I have it specifically look for new developments.
• 17:49
  SPEAKER_00: So that way it comes back for me as a content writer in AI to say,
• 17:54
  SPEAKER_00: hey,
• 17:54
  SPEAKER_00: just yesterday over at,
• 17:57
  SPEAKER_00: pick a service here,
• 17:58
  SPEAKER_00: Taja.
• 17:59
  SPEAKER_00: Taja just came out with this new feature that does this, this, and this.
• 18:03
  SPEAKER_00: Oh, that's amazing.
• 18:04
  SPEAKER_00: I need to go look at that.
• 18:06
  SPEAKER_00: Then I will look at
• 18:07
  SPEAKER_00: the University of YouTube.
• 18:08
  SPEAKER_00: Are there any videos out there on this?
• 18:10
  I'll do a search around the net to say,
• 18:12
  tell me what people are saying over on Reddit.
• 18:16
  SPEAKER_00: What about on Twitter?
• 18:18
  SPEAKER_00: What about Twitter?
• 18:19
  SPEAKER_00: Now X. What about over here on TikTok?
• 18:23
  SPEAKER_00: What is being said about this new feature in Taja?
• 18:27
  SPEAKER_00: My hypothetical here.
• 18:28
  SPEAKER_00: And then I can find, oh, here's a little something.
• 18:30
  SPEAKER_00: I want to see that.
• 18:31
  Oh,
• 18:31
  and here's another one that mentioned something that the others
• 18:33
  didn't.
• 18:34
  SPEAKER_00: Now,
• 18:34
  SPEAKER_00: what I do is I take that all as raw material,
• 18:37
  SPEAKER_00: stir it up in my crazy little noggin up here and say,
• 18:40
  SPEAKER_00: okay,
• 18:41
  SPEAKER_00: what did you come up with on this?
• 18:42
  SPEAKER_00: And give a story that is unique and very beneficial to my viewers,
• 18:47
  SPEAKER_00: to my listeners,
• 18:48
  SPEAKER_00: and to my readers.
• 18:49
  So that's kind of the thing that I take,
• 18:51
  constantly learning,
• 18:52
  getting going.
• 18:53
  SPEAKER_00: And you never get bored that way, Natasha.
• 18:55
  SPEAKER_00: Have you noticed it?
• 18:56
  SPEAKER_02: I know.
• 18:57
  SPEAKER_02: You always feel alive.
• 18:58
  SPEAKER_02: Okay, so we have a question from the audience here from Doc Farrar.
• 19:02
  SPEAKER_02: Hi, Doc.
• 19:03
  SPEAKER_02: Thank you for joining us.
• 19:04
  SPEAKER_02: And he's saying,
• 19:05
  SPEAKER_02: are you using generic AI like chat or cloud,
• 19:08
  SPEAKER_02: or do you have a custom AI for your use case?
• 19:11
  SPEAKER_00: I'm using a chat GPT and con,
• 19:13
  SPEAKER_00: but with the prompts,
• 19:15
  you can get real close here and make sure that you're getting a
• 19:18
  lot more taken care
• 19:19
  SPEAKER_00: of that way.
• 19:20
  SPEAKER_00: So he can do some really good things for you.
• 19:22
  SPEAKER_02: So you don't like to use agents or all of that stuff?
• 19:26
  SPEAKER_00: Oh, I think agents are good.
• 19:28
  SPEAKER_00: And I've used a few of those.
• 19:29
  SPEAKER_00: And I think that when you write those, that's good.
• 19:32
  SPEAKER_00: The tasks that we're talking about in perplexity,
• 19:35
  SPEAKER_00: I kind of like that.
• 19:36
  SPEAKER_00: You're creating really a chat GPT, a GPT there.
• 19:40
  You're creating your own GPT that's giving you something to
• 19:43
  focus on and get a lot
• 19:44
  SPEAKER_00: more done that way.
• 19:46
  SPEAKER_02: Ah, okay, I see.
• 19:47
  SPEAKER_02: Okay, so you use a lot of these tools.
• 19:52
  SPEAKER_02: And I'm assuming,
• 19:54
  SPEAKER_02: correct me if I'm wrong,
• 19:54
  SPEAKER_02: that you're using the paid versions because these,
• 19:57
  SPEAKER_02: you know,
• 19:58
  SPEAKER_02: they're,
• 19:59
  SPEAKER_02: you get the best out of them.
• 20:01
  SPEAKER_02: And if you keep combining the cost of all of this, it really adds up.
• 20:06
  SPEAKER_02: So how do you feel about that?
• 20:08
  SPEAKER_02: And what's your perspective on like free versus paid?
• 20:11
  SPEAKER_00: Oh, I really appreciate you asking that.
• 20:13
  That's a discussion we have often over in our membership group
• 20:16
  of stark raving entrepreneurs.
• 20:18
  And we start with the premise of it is going to be important to
• 20:22
  pay some money if
• 20:23
  SPEAKER_00: you're going to do it.
• 20:23
  SPEAKER_00: This is business.
• 20:24
  It'd be like saying if I were 18 years old and I want to go and
• 20:28
  become a medical
• 20:28
  SPEAKER_00: doctor to say,
• 20:30
  SPEAKER_00: I'm going to go to medical,
• 20:31
  SPEAKER_00: but I'm not going to pay anything for it.
• 20:33
  SPEAKER_00: I'm not going to pay anything for school.
• 20:35
  SPEAKER_00: I want to get into a university.
• 20:36
  SPEAKER_00: They should pay me all the time.
• 20:38
  SPEAKER_00: Well,
• 20:38
  SPEAKER_00: It doesn't work that way.
• 20:40
  SPEAKER_00: So I have a budget that I can put in some.
• 20:42
  I'm willing to pay the $8 a month that I pay on Grok to get
• 20:48
  their access to some of
• 20:49
  SPEAKER_00: their premium accounts.
• 20:51
  SPEAKER_00: $8 a month.
• 20:52
  I pay $20 a month on ChatGPT,
• 20:55
  which gives me a little bit more capability.
• 20:57
  And I make sure I'm getting a lot more than $20 out of it when
• 21:01
  I'm out there on the marketplace.
• 21:02
  SPEAKER_00: Yeah.
• 21:03
  SPEAKER_01: Yeah.
• 21:03
  SPEAKER_00: And perplexity.
• 21:05
  SPEAKER_00: It gives me access to some extra features.
• 21:07
  SPEAKER_00: When I use perplexity, I'm paying their $20 a month.
• 21:11
  SPEAKER_00: So with Gemini, you know, these start adding up.
• 21:14
  But with Gemini,
• 21:15
  I've been paying the priestly sum of $16.80,
• 21:17
  less than $17.
• 21:18
  SPEAKER_00: So I get access to Gmail and
• 21:25
  And Google Docs and Google Sheets and their calendar and some
• 21:30
  other features that
• 21:30
  SPEAKER_00: are in there,
• 21:31
  SPEAKER_00: Gmail,
• 21:32
  SPEAKER_00: all of that at a higher level.
• 21:33
  SPEAKER_00: I've been doing that for several years.
• 21:36
  SPEAKER_00: But now,
• 21:36
  SPEAKER_00: because I've been there,
• 21:38
  SPEAKER_00: Gemini lets me get access to some of the higher levels as well.
• 21:42
  SPEAKER_00: So I'm not paying any more.
• 21:43
  So I'm paying a little bit less than $100 a month with all
• 21:47
  those tools for me.
• 21:49
  SPEAKER_00: But here's the deal.
• 21:50
  When I went to business school,
• 21:51
  they told us it doesn't really matter what someone costs.
• 21:55
  SPEAKER_00: The cost is okay.
• 21:57
  SPEAKER_00: You need to know that.
• 21:58
  SPEAKER_00: What really matters is what kind of a return are you getting?
• 22:03
  I mean,
• 22:03
  Natasha,
• 22:04
  if I said,
• 22:04
  this one is going to cost you $100,000 per month.
• 22:06
  SPEAKER_00: Whoa, that's a lot of money.
• 22:07
  SPEAKER_00: Yeah, but...
• 22:14
  you're guaranteed you're going to get at least minimum $3
• 22:17
  million a month coming in.
• 22:20
  SPEAKER_00: Are you sure?
• 22:21
  SPEAKER_00: Then we do research and you can say,
• 22:23
  everyone else is getting $3 million coming in for the $100,000
• 22:27
  they put in.
• 22:27
  SPEAKER_00: Okay, well, then we might give it a shot.
• 22:30
  SPEAKER_00: Then we get it in writing that I'm going to get that.
• 22:31
  SPEAKER_00: We get lawyers.
• 22:32
  SPEAKER_00: Okay, whatever.
• 22:33
  SPEAKER_00: This is business.
• 22:35
  SPEAKER_02: Do you pay for Claude's?
• 22:37
  SPEAKER_00: What's that?
• 22:37
  SPEAKER_02: Do you pay for Claude's?
• 22:39
  SPEAKER_00: I am not paying for Claude, nothing against Claude.
• 22:42
  SPEAKER_00: It's just, I can't do everything.
• 22:45
  SPEAKER_00: And more than anything, it's not so much the money, it's the time.
• 22:48
  SPEAKER_00: Have you noticed that?
• 22:50
  SPEAKER_00: That we could stay up 24-7, not getting any sleep at all.
• 22:55
  SPEAKER_01: That's just reading.
• 22:58
  SPEAKER_00: What am I going to do here?
• 22:59
  SPEAKER_00: Well, it's all right.
• 23:00
  SPEAKER_00: Welcome aboard.
• 23:00
  SPEAKER_00: Welcome to 2026.
• 23:02
  SPEAKER_00: It works that way here on planet Earth.
• 23:04
  SPEAKER_00: Yeah.
• 23:04
  SPEAKER_02: For me, it's like a game.
• 23:07
  SPEAKER_02: Even all of life living is one big game.
• 23:13
  And if you change your mindset and you think of your work as a
• 23:17
  game and you level
• 23:18
  SPEAKER_02: up,
• 23:18
  SPEAKER_02: it makes it so much fun.
• 23:20
  SPEAKER_02: And with AI, I'm having so much fun.
• 23:23
  SPEAKER_02: I level up to
• 23:26
  SPEAKER_00: I know we said all the time to start craving entrepreneurs.
• 23:28
  SPEAKER_00: We're having more fun than the law will allow.
• 23:32
  SPEAKER_00: So we have broken the laws on those.
• 23:33
  SPEAKER_02: We're having so much fun.
• 23:36
  SPEAKER_02: It sounds illegal.
• 23:37
  SPEAKER_00: But don't tell anybody.
• 23:39
  SPEAKER_00: Don't tell any of the grownups.
• 23:41
  SPEAKER_00: OK.
• 23:44
  All right,
• 23:44
  so since I'm a journalist,
• 23:46
  I'm going to play the devil advocates here.
• 23:47
  SPEAKER_00: Yeah, the devil doesn't need an advocate.
• 23:50
  SPEAKER_00: That's what we'll remind us, you know.
• 23:51
  SPEAKER_00: But that's okay.
• 23:52
  SPEAKER_00: Journalist to journalist, I understand what you're saying.
• 23:55
  SPEAKER_02: Well, I have to.
• 23:56
  SPEAKER_02: I start with the easy question.
• 23:57
  SPEAKER_02: I prep you up and then.
• 23:58
  SPEAKER_02: Yeah, you're hitting different sides here.
• 24:01
  SPEAKER_00: I get it.
• 24:03
  And then I hit you with the difficult,
• 24:06
  not the difficult one,
• 24:07
  but the challenging.
• 24:08
  SPEAKER_02: Yeah.
• 24:09
  SPEAKER_02: Okay.
• 24:10
  SPEAKER_02: So I'm going to tell you about the skeptics of AI and what they say.
• 24:16
  SPEAKER_02: And so I don't know.
• 24:19
  I was chatting with my 14-year-old daughter yesterday,
• 24:21
  something about something.
• 24:22
  SPEAKER_02: And I said, I just asked ChatGPT.
• 24:25
  And she was like,
• 24:25
  Mom,
• 24:26
  do you know how much energy AI is using these days?
• 24:30
  SPEAKER_02: And I was like, what?
• 24:31
  SPEAKER_02: I mean,
• 24:32
  SPEAKER_02: so,
• 24:34
  SPEAKER_02: you know,
• 24:34
  SPEAKER_02: like the younger,
• 24:35
  SPEAKER_02: let's say like Gen Z or Gen Alpha generation are like,
• 24:38
  SPEAKER_02: you know,
• 24:38
  SPEAKER_02: always like aware of causes and they're activists.
• 24:43
  SPEAKER_02: And so apparently there was this.
• 24:46
  SPEAKER_02: Yeah, exactly.
• 24:48
  SPEAKER_02: Not like the old folks like me, but...
• 24:52
  SPEAKER_00: I'm talking, you know, Socrates went through that.
• 24:54
  SPEAKER_00: One of the kids,
• 24:55
  SPEAKER_00: like,
• 24:55
  SPEAKER_00: when I talked to him,
• 24:56
  SPEAKER_00: he told me that,
• 24:57
  SPEAKER_00: well,
• 24:58
  SPEAKER_00: he was just a kid when I knew it.
• 25:00
  SPEAKER_00: We're seeing the same things throughout history that are echoing there.
• 25:04
  SPEAKER_00: I think Mark Twain said it.
• 25:06
  SPEAKER_00: You know, history might not repeat itself, but it sure does rhyme.
• 25:10
  SPEAKER_02: Exactly.
• 25:11
  SPEAKER_02: So,
• 25:12
  SPEAKER_02: and I also heard that from others,
• 25:14
  a friend of mine lives in West Virginia in the mountains and
• 25:18
  they're building this
• 25:19
  SPEAKER_02: like AI energy,
• 25:22
  SPEAKER_02: I guess,
• 25:24
  SPEAKER_02: whatever you want to call it,
• 25:25
  SPEAKER_02: establishment and all the town is really upset by that.
• 25:30
  SPEAKER_02: So I want to talk about a bit the dangers of AI and
• 25:34
  SPEAKER_02: One,
• 25:35
  SPEAKER_02: in terms of energy,
• 25:37
  SPEAKER_02: and two,
• 25:38
  SPEAKER_02: the fact,
• 25:39
  SPEAKER_02: as you know,
• 25:40
  SPEAKER_02: it's developing so fast,
• 25:42
  SPEAKER_02: so fast to the degree that it is scary.
• 25:46
  SPEAKER_02: So where do you stand and how do you see we're heading towards,
• 25:52
  SPEAKER_02: first,
• 25:52
  SPEAKER_02: the energy argument,
• 25:53
  SPEAKER_02: and two,
• 25:54
  SPEAKER_02: the kind of overall takeover of AI?
• 25:58
  SPEAKER_00: Oh, I think, first of all, those are valid concerns.
• 26:00
  SPEAKER_00: And the people who are concerned about that, I would applaud them.
• 26:03
  SPEAKER_00: And I would say, you're right.
• 26:04
  SPEAKER_00: When we ask those,
• 26:06
  SPEAKER_00: yeah,
• 26:06
  SPEAKER_00: but what about kind of questions,
• 26:09
  SPEAKER_00: that's kind of like that annoying journalist who's going,
• 26:11
  SPEAKER_00: yeah,
• 26:12
  SPEAKER_00: but what about this?
• 26:13
  SPEAKER_00: What about that?
• 26:14
  SPEAKER_00: And those are real.
• 26:15
  SPEAKER_00: We need to look at energy consumption and what that's going to be.
• 26:19
  SPEAKER_00: But I also say, well, what if we said, okay, let's do this?
• 26:21
  What if,
• 26:22
  and this is a good way to make decisions,
• 26:24
  always say,
• 26:25
  well,
• 26:25
  what if we tried that?
• 26:26
  SPEAKER_00: What would the ramifications be?
• 26:28
  Too often people say,
• 26:29
  let's just pass this law because it would be the right thing to
• 26:32
  do.
• 26:32
  SPEAKER_00: Yeah, yeah, yeah.
• 26:33
  SPEAKER_00: And they don't think beyond that.
• 26:35
  SPEAKER_00: What are the right implications?
• 26:37
  SPEAKER_00: Suppose we in the United States said, okay, we're going to pass the law.
• 26:39
  SPEAKER_00: We're halting AI today.
• 26:42
  SPEAKER_00: No more AI allowed.
• 26:44
  SPEAKER_00: Okay.
• 26:45
  SPEAKER_00: Are you going to persuade China to do that as well?
• 26:47
  SPEAKER_00: And Russia?
• 26:48
  SPEAKER_00: And North Korea?
• 26:49
  SPEAKER_00: Yeah.
• 26:50
  SPEAKER_00: Oh, and Iran.
• 26:53
  SPEAKER_00: And there's a whole bunch of others that are using it.
• 26:56
  SPEAKER_00: Do you think they're going to go,
• 26:57
  SPEAKER_00: oh,
• 26:57
  SPEAKER_00: my goodness,
• 26:58
  SPEAKER_00: the United States passed a law and said we can't use AI anymore either.
• 27:03
  SPEAKER_00: We'll just have to pack it away.
• 27:05
  SPEAKER_00: Well, come on, get real.
• 27:07
  SPEAKER_00: We have to stay up with what they're doing because...
• 27:10
  SPEAKER_00: throughout history.
• 27:11
  SPEAKER_00: You know this very well, Josh, from being in the Middle East.
• 27:14
  SPEAKER_00: People are fighting.
• 27:15
  SPEAKER_00: Things go on.
• 27:16
  SPEAKER_00: This is normal in history.
• 27:17
  SPEAKER_00: What we need to do is say, wait a minute, we address that.
• 27:20
  SPEAKER_00: We understand we could lose energy.
• 27:22
  SPEAKER_00: We're going to have to divert it.
• 27:23
  First of all,
• 27:23
  there's not as much being used as some sources are saying,
• 27:26
  but I think even more
• 27:28
  We can take a look and learn where are people or anybody
• 27:31
  anywhere on the planet
• 27:33
  SPEAKER_00: getting a lot of good,
• 27:34
  SPEAKER_00: clean energy at lower prices,
• 27:37
  SPEAKER_00: and what are they doing?
• 27:39
  SPEAKER_00: Ultimately, solar is going to be the solution, I think, for all of it.
• 27:43
  SPEAKER_00: We're not there yet with our technology.
• 27:45
  SPEAKER_00: We're getting there.
• 27:46
  SPEAKER_00: I think we need to open up the brains of engineers to
• 27:49
  SPEAKER_00: literally around the world.
• 27:51
  SPEAKER_00: My feeling is,
• 27:51
  SPEAKER_00: I know it's a little bit different,
• 27:52
  SPEAKER_00: but I'd love to see people from all countries,
• 27:55
  SPEAKER_00: US,
• 27:56
  SPEAKER_00: China,
• 27:56
  SPEAKER_00: Russia,
• 27:57
  SPEAKER_00: wherever,
• 27:57
  SPEAKER_00: England,
• 27:58
  SPEAKER_00: Jordan,
• 27:59
  working together with the smartest engineers to come up with
• 28:02
  ways to do that.
• 28:03
  SPEAKER_00: And I think we share the information and we can eventually get to fusion,
• 28:08
  SPEAKER_00: not nuclear fission,
• 28:10
  SPEAKER_00: but nuclear fusion,
• 28:11
  SPEAKER_00: which comes out and has
• 28:13
  SPEAKER_00: Very little, if any, waste product.
• 28:15
  The French are now powering most of their needs for electricity
• 28:20
  through nuclear.
• 28:22
  SPEAKER_00: And they're doing it very safely.
• 28:24
  SPEAKER_00: And think about it.
• 28:24
  SPEAKER_00: The United States here.
• 28:26
  We've got nuclear that has worked for since the 1950s,
• 28:31
  giving clean power in submarines.
• 28:34
  And submarines are able to do this at the bottom of the ocean
• 28:37
  for literally a year.
• 28:39
  SPEAKER_00: And they're able to do it.
• 28:40
  SPEAKER_00: We've got the technology.
• 28:41
  And it's like,
• 28:42
  I see people sometimes,
• 28:43
  I live in Florida,
• 28:44
  here in Orlando.
• 28:45
  SPEAKER_00: And there's been times when people said, we're running out of water.
• 28:48
  SPEAKER_00: We don't have enough water here in Florida.
• 28:49
  SPEAKER_00: Well, water is important for anyone that's alive.
• 28:52
  SPEAKER_00: But, Natasha, I took a look at a map the other day.
• 28:56
  SPEAKER_00: and there's water all the way around Florida.
• 28:58
  SPEAKER_00: Isn't that amazing?
• 28:59
  SPEAKER_00: Lots of water.
• 29:00
  SPEAKER_00: And they're telling us we don't have it.
• 29:01
  SPEAKER_00: And they go, Terry, Terry, wait a minute.
• 29:03
  SPEAKER_00: That's seawater.
• 29:04
  SPEAKER_00: That's salty water.
• 29:05
  SPEAKER_00: We can't drink that.
• 29:06
  SPEAKER_00: Well, yeah, anyone that's gone swimming knows that.
• 29:09
  SPEAKER_00: And swimming in the ocean.
• 29:10
  SPEAKER_00: But we can desalinate.
• 29:12
  SPEAKER_00: And because we have the knowledge that we have baked into submarines,
• 29:18
  SPEAKER_00: What if we,
• 29:19
  SPEAKER_00: I looked at the map the other day and the water all around there,
• 29:21
  SPEAKER_00: we could put little points around the state of Florida,
• 29:25
  SPEAKER_00: right on the ocean and be able to say,
• 29:27
  SPEAKER_00: let's desalinate that with nuclear.
• 29:31
  SPEAKER_00: There's the power.
• 29:32
  SPEAKER_00: Now we've got enough that we can take...
• 29:35
  SPEAKER_00: hundreds and billions of gallons of water,
• 29:37
  SPEAKER_00: we'll let the civil engineers figure this out,
• 29:39
  SPEAKER_00: really,
• 29:39
  SPEAKER_00: really smart people,
• 29:40
  SPEAKER_00: and we can put them on,
• 29:42
  SPEAKER_00: they're different places,
• 29:43
  SPEAKER_00: and then we ship it inland through rail,
• 29:46
  SPEAKER_00: through pipes,
• 29:47
  SPEAKER_00: through trucks,
• 29:48
  SPEAKER_00: whatever,
• 29:49
  SPEAKER_00: we can do it.
• 29:50
  So I understand we're running out of the energy,
• 29:53
  but the answer is not to shut everything down.
• 29:55
  SPEAKER_00: The answer is to say,
• 29:56
  SPEAKER_00: like it has been throughout history when we run into technology,
• 30:00
  SPEAKER_00: we understand that.
• 30:01
  SPEAKER_00: We've got to address that.
• 30:03
  SPEAKER_00: And to do that,
• 30:04
  SPEAKER_00: let's get really,
• 30:04
  SPEAKER_00: really smart people together,
• 30:06
  SPEAKER_00: brilliant engineers usually,
• 30:08
  SPEAKER_00: in that area,
• 30:09
  SPEAKER_00: and they can work on it.
• 30:10
  SPEAKER_00: We don't give up when there's a problem.
• 30:11
  SPEAKER_00: Like, for instance, when airlines came out, you and I know that today...
• 30:16
  SPEAKER_00: safest form of transportation is flying.
• 30:19
  SPEAKER_00: Flying is the safest.
• 30:20
  SPEAKER_00: They've got wonderful professionals all around.
• 30:22
  SPEAKER_00: Well,
• 30:23
  SPEAKER_00: if we had given up because people died in airplane crashes long ago,
• 30:26
  SPEAKER_00: we wouldn't be able to do as much.
• 30:29
  We can't say I'm giving up because look,
• 30:31
  legitimately people died in airplane crashes.
• 30:34
  SPEAKER_00: We feel for them and their families.
• 30:35
  SPEAKER_00: And of course we don't want that to happen.
• 30:37
  SPEAKER_00: But what do they do?
• 30:39
  SPEAKER_00: When something went wrong, they studied it.
• 30:41
  They being real professional experts went and said,
• 30:44
  what did they do wrong?
• 30:45
  SPEAKER_00: Was it pilot error?
• 30:46
  SPEAKER_00: Was it mechanical error?
• 30:48
  SPEAKER_00: Was it weather or something?
• 30:49
  SPEAKER_00: Whatever it is.
• 30:50
  And now they've accumulated a lot of knowledge so that we can
• 30:53
  say air travel is not 100% safe.
• 30:55
  SPEAKER_00: I don't think it ever will be.
• 30:57
  SPEAKER_00: That's just because this is planet Earth.
• 30:59
  SPEAKER_00: It works that way here.
• 31:01
  But we've got enough knowledge to say this is reasonably safe
• 31:04
  and we can do a lot.
• 31:05
  And so I see what they've done over in Japan,
• 31:08
  Fukushima,
• 31:08
  the tragedy that was there.
• 31:09
  They've learned and they've learned what to do and how to build
• 31:12
  their nuclear power
• 31:13
  SPEAKER_00: plants safely.
• 31:14
  SPEAKER_00: We can use nuclear with fusion eventually.
• 31:18
  SPEAKER_00: Right now we're at fission, but still look at what the French are doing.
• 31:21
  SPEAKER_00: They're doing it and it's safe.
• 31:23
  SPEAKER_00: It is clean.
• 31:24
  SPEAKER_00: It is not harming the environment.
• 31:27
  SPEAKER_00: And it's giving abundant forms of energy at very low cost.
• 31:31
  SPEAKER_02: What about use of water?
• 31:33
  SPEAKER_02: So we have Karen here saying,
• 31:35
  SPEAKER_02: Karen,
• 31:36
  SPEAKER_02: sea collector of books saying that AI not only uses energy,
• 31:39
  SPEAKER_02: but also uses a lot of water.
• 31:41
  SPEAKER_02: What's your response to that?
• 31:42
  SPEAKER_00: Yeah, it does.
• 31:43
  And I think what we need to do is study that and understand,
• 31:46
  again,
• 31:46
  what are we able to do?
• 31:49
  SPEAKER_00: If we said, okay, it uses a lot of water, therefore shut it all down.
• 31:53
  SPEAKER_00: Well, again, are we going to get the Chinese to do that and the Russians?
• 31:58
  And the North Koreans and people that really would like to do
• 32:02
  nasty things to the
• 32:03
  SPEAKER_00: United States.
• 32:04
  SPEAKER_00: This is history.
• 32:05
  And again,
• 32:06
  Natasha,
• 32:06
  you know about war and how people are in parts of the world.
• 32:10
  SPEAKER_00: So I would say we address that.
• 32:12
  SPEAKER_00: Yes, we do need.
• 32:13
  SPEAKER_00: Well, the only people that need water are people that are alive.
• 32:17
  SPEAKER_00: Wait a minute.
• 32:17
  SPEAKER_00: That's quite a few, right?
• 32:18
  SPEAKER_00: So we all need it.
• 32:20
  SPEAKER_00: It's very important.
• 32:21
  SPEAKER_00: We use it for a lot of things,
• 32:22
  SPEAKER_00: not just drinking,
• 32:23
  SPEAKER_00: but we need it for all the things we know we use it for,
• 32:26
  SPEAKER_00: and we cherish that.
• 32:27
  SPEAKER_00: So I would honor that.
• 32:28
  SPEAKER_00: And who is it?
• 32:30
  SPEAKER_00: Karen.
• 32:30
  SPEAKER_00: I would say that is really important, Karen.
• 32:32
  SPEAKER_00: You're right on target that it needs to be addressed.
• 32:35
  SPEAKER_00: And I would say address it from an abundance point of view.
• 32:38
  SPEAKER_00: How can we make this better versus how do we shut it down?
• 32:42
  SPEAKER_00: We can't just shut it down and go, la, la, la, la, la, it doesn't exist.
• 32:46
  SPEAKER_00: Or we suffer even worse consequences.
• 32:49
  SPEAKER_02: Okay, so I'm going to talk about a movie.
• 32:51
  SPEAKER_02: And this movie was ahead of the trend, ahead of its time.
• 32:58
  SPEAKER_02: And it was called Her.
• 33:00
  SPEAKER_02: And the movie about Her, H-E-R.
• 33:04
  SPEAKER_02: And it's this guy who falls in love with an AI machine.
• 33:10
  SPEAKER_02: And he falls so in love that he takes the AI machine.
• 33:12
  SPEAKER_02: It's a woman.
• 33:13
  SPEAKER_02: And he takes her out with him on picnics with his friends.
• 33:16
  SPEAKER_02: She's always with him.
• 33:17
  SPEAKER_02: And that was, I think, maybe 10 or 15 years ago.
• 33:21
  SPEAKER_02: And we all laughed.
• 33:25
  SPEAKER_02: It's like, I'll just try this fiction.
• 33:28
  SPEAKER_02: And, you know, this could never happen.
• 33:30
  SPEAKER_02: I mean, it's just science fiction, right?
• 33:33
  SPEAKER_02: And the other day I was looking in the,
• 33:35
  SPEAKER_02: I subscribed to the New York Times and I was just,
• 33:41
  SPEAKER_02: I listened to this interview on the daily.
• 33:45
  SPEAKER_02: And the show was about these women who are falling in love with AI.
• 33:51
  SPEAKER_02: And they're giving with ChatGPT and they're giving them names.
• 33:54
  SPEAKER_02: And there was this woman who called the ChatGPT Leo.
• 33:59
  SPEAKER_02: And the woman genuinely fell in love with him.
• 34:01
  And to the degree that they were like starting sending spicy
• 34:06
  text messages to each
• 34:08
  SPEAKER_02: other in the morning.
• 34:10
  hey darling whatever and um the woman eventually divorced her
• 34:16
  husband because she
• 34:20
  realized that her husband cannot give her what this child gpt
• 34:24
  leo is giving her in
• 34:26
  SPEAKER_02: terms of
• 34:27
  SPEAKER_02: I think that's what women crave, like the listening, whatever.
• 34:33
  And eventually that woman got into a Reddit group of people who
• 34:36
  are also in love
• 34:38
  SPEAKER_02: with AI,
• 34:39
  SPEAKER_02: men and women.
• 34:40
  SPEAKER_02: And eventually she married someone from this AI group.
• 34:45
  but again when that movie hair came out we all laughed but the
• 34:51
  the that is for me
• 34:53
  is to what degree people are being attached to those machines
• 34:56
  especially now
• 34:57
  they're using them for therapy uh like i use it sometimes for
• 35:00
  therapy but and it
• 35:03
  SPEAKER_02: gives really really good advice um
• 35:07
  SPEAKER_02: And like sometimes, oh, I don't know how to deal with my teenagers.
• 35:10
  They're driving me crazy and like gives me like steps how to
• 35:13
  deal with that.
• 35:14
  SPEAKER_02: And they're really good steps.
• 35:16
  SPEAKER_02: And are we eventually going to go crazy?
• 35:20
  SPEAKER_02: I mean,
• 35:20
  we're going to be so dependent on this machine that will make
• 35:25
  us fall in love with
• 35:27
  SPEAKER_02: it,
• 35:27
  SPEAKER_02: make us like follow it.
• 35:28
  It's like controlling us to the degree that we're eventually
• 35:33
  going to lose our mind.
• 35:34
  SPEAKER_02: So how do you say about that?
• 35:36
  SPEAKER_00: Well, first of all, you say eventually use your mind.
• 35:39
  SPEAKER_00: There are those that say we already have.
• 35:41
  SPEAKER_00: But that's a whole other story.
• 35:44
  SPEAKER_00: But I think it is good.
• 35:45
  SPEAKER_00: And yes, it's science fiction.
• 35:46
  SPEAKER_00: But also we have to look at there's reality that right now,
• 35:49
  SPEAKER_00: seriously,
• 35:50
  SPEAKER_00: in the real world,
• 35:51
  SPEAKER_00: there are people who are more attached to their robot,
• 35:55
  SPEAKER_00: even in the primitive stages that we have them right now,
• 35:57
  SPEAKER_00: than they are to real people.
• 35:59
  That's something I'm going to leave up to the health and
• 36:02
  medical and mental health professionals
• 36:05
  SPEAKER_00: who know much more about how to deal with that.
• 36:07
  SPEAKER_00: But they say,
• 36:08
  what we can do is to make sure that we address it from a sound
• 36:12
  psychological point
• 36:13
  SPEAKER_00: of view.
• 36:13
  That's why we have wonderful psychologists and counselors and
• 36:17
  psychiatrists and
• 36:18
  SPEAKER_00: mental health advisors that can help us on those areas to find out,
• 36:22
  SPEAKER_00: wait a minute,
• 36:22
  SPEAKER_00: maybe we need to understand this is the way life is.
• 36:26
  SPEAKER_00: We're never going to find that perfect person.
• 36:28
  SPEAKER_00: Anyone who has been in a relationship for a lengthy period of time knows,
• 36:31
  SPEAKER_00: OK,
• 36:32
  SPEAKER_00: there's going to be differences.
• 36:33
  SPEAKER_00: But you take those differences
• 36:35
  SPEAKER_00: and get better because of it.
• 36:37
  You understand,
• 36:37
  okay,
• 36:38
  we figure out how to address this,
• 36:40
  understand their needs.
• 36:41
  SPEAKER_00: I'm no mental health professional at all,
• 36:44
  but I've read a few books on it and realized that this is
• 36:46
  something that we can do.
• 36:48
  And I think what we have to do is to look at what is it we want
• 36:51
  to do addressing
• 36:52
  SPEAKER_00: the needs of people
• 36:54
  SPEAKER_00: and not get diverse with some machine.
• 36:56
  SPEAKER_00: Matter of fact,
• 36:57
  SPEAKER_00: throughout history,
• 36:58
  SPEAKER_00: hasn't been robots,
• 36:59
  SPEAKER_00: but people had become addicted to their machines.
• 37:02
  SPEAKER_00: Look at cars.
• 37:03
  There are people that just live with their car or people that
• 37:06
  love tools or someone
• 37:07
  SPEAKER_00: who might be devoted to anything other than a human being.
• 37:10
  And I think we've got to be careful on that and be reminded
• 37:14
  it's the human beings
• 37:14
  SPEAKER_00: that matter most.
• 37:16
  SPEAKER_00: And that's where I think maybe if we can get beyond that in a
• 37:19
  SPEAKER_00: whole different thing beyond what we're covering here.
• 37:21
  SPEAKER_00: People in other countries can say, wait a minute, we're all human beings.
• 37:25
  SPEAKER_00: We breathe air, we're pumping red blood.
• 37:27
  We have different facial features and different histories and
• 37:31
  different backgrounds.
• 37:32
  SPEAKER_00: Come on,
• 37:32
  let's find those areas where we agree and stop shooting at each
• 37:35
  other and spending
• 37:36
  SPEAKER_00: our time figuring out ways to kill each other.
• 37:39
  SPEAKER_00: And we start focusing on what we can do to make life better.
• 37:43
  SPEAKER_00: And so I think that's where the upside of what's going on with AI is
• 37:48
  is the medical features that are there that can help us and
• 37:51
  help us as we get along
• 37:52
  SPEAKER_00: with people better,
• 37:54
  SPEAKER_00: we'll be able to do so much more.
• 37:56
  SPEAKER_00: So I think we're still going,
• 37:57
  SPEAKER_00: but I'd like to say we need to tap into those wonderful people who are
• 38:01
  SPEAKER_00: professionals in mental health care and can help us with ideas.
• 38:05
  SPEAKER_00: What do you think about this, doctor?
• 38:06
  SPEAKER_00: What do you think about that mental health professional?
• 38:09
  SPEAKER_00: And I think we can get some really good ideas that way.
• 38:13
  SPEAKER_02: So there's a response from Karen saying that in the western U.S.
• 38:17
  right now,
• 38:18
  AZ Arizona is facing a shortage of water off the Colorado
• 38:23
  River.
• 38:23
  SPEAKER_02: We need to get ahead of the curve, but I haven't seen that yet.
• 38:27
  We're definitely not going to shut it down,
• 38:29
  but we need to be more proactive now.
• 38:32
  SPEAKER_00: I think so.
• 38:32
  SPEAKER_00: And I would say, I would agree strongly.
• 38:34
  SPEAKER_00: I think I see Karen, by the way, I see Karen seem collector of books.
• 38:37
  SPEAKER_00: Karen, I don't know you at all, but I like you already.
• 38:39
  SPEAKER_00: By the way, those are real books.
• 38:41
  SPEAKER_00: That's not a green tree.
• 38:43
  SPEAKER_00: That's one of four libraries we have here.
• 38:45
  SPEAKER_00: I like books and they're marvelous.
• 38:48
  SPEAKER_00: I like you already there, but you raise a good point.
• 38:50
  SPEAKER_00: We do need to be proactive.
• 38:51
  SPEAKER_00: We don't just sit around and go, oh, it's terrible.
• 38:54
  SPEAKER_00: It's bad.
• 38:54
  SPEAKER_00: Or, oh, it'll all eventually work out.
• 38:56
  SPEAKER_00: No, let's be proactive.
• 38:58
  SPEAKER_00: I'll use your word, Karen, agree with you.
• 39:00
  and high-fiving you across the miles there yes arizona does
• 39:03
  have serious issues
• 39:04
  i've heard from my friends and when i've been out there in the
• 39:06
  phoenix area and
• 39:07
  down in tucson uh it's a 480 and 602 in phoenix and 520 down in
• 39:13
  tucson but or 623
• 39:15
  up in phoenix as well but uh there's ways that you can deal
• 39:19
  with this and again i
• 39:20
  would go back to what i mentioned about as i jokingly talked
• 39:24
  about the water all
• 39:25
  SPEAKER_00: around florida
• 39:26
  There's water a lot of places,
• 39:27
  and it's just really a transportation issue.
• 39:30
  SPEAKER_00: I looked at a map once also,
• 39:31
  SPEAKER_00: and I saw that not too far away from Arizona,
• 39:34
  SPEAKER_00: there's a big thing called the ocean.
• 39:37
  SPEAKER_00: And you can get that transportation there desalinating it with
• 39:42
  properly managed weapons,
• 39:44
  not weapons,
• 39:44
  but using the tools of nuclear energy.
• 39:48
  SPEAKER_00: And then we got a transportation issue.
• 39:50
  SPEAKER_00: Well,
• 39:50
  SPEAKER_00: we can turn that over to people who are really,
• 39:53
  SPEAKER_00: really smart in that on logistics,
• 39:54
  SPEAKER_00: with trains,
• 39:55
  SPEAKER_00: with pipelines,
• 39:57
  SPEAKER_00: with trucks.
• 39:58
  SPEAKER_00: We can get all of that water needed in a regular basis.
• 40:02
  SPEAKER_00: And there's other issues too.
• 40:04
  I know people way smarter than me in this that are saying that
• 40:06
  water coming down
• 40:07
  SPEAKER_00: the Colorado from up in Colorado.
• 40:09
  SPEAKER_00: We're bringing it down there.
• 40:10
  SPEAKER_00: There's ways that it can be adjusted and administered more.
• 40:13
  SPEAKER_00: So the issue is, yes, it needs to be addressed very soon and proactively.
• 40:19
  SPEAKER_00: Good word, Karen.
• 40:20
  We want to use that in a way that's going to help people
• 40:22
  without curtailing others
• 40:24
  SPEAKER_00: and saying,
• 40:24
  SPEAKER_00: well,
• 40:25
  SPEAKER_00: we're just going to shut it down.
• 40:26
  SPEAKER_00: Too often a binary approach to any problem.
• 40:29
  SPEAKER_00: is not quite right.
• 40:30
  SPEAKER_00: Either extreme is not good.
• 40:32
  SPEAKER_00: Usually the answer,
• 40:33
  SPEAKER_00: the better answer,
• 40:34
  SPEAKER_00: is somewhere by taking the best of all of them and using those,
• 40:39
  SPEAKER_00: understanding the negatives and the downside,
• 40:42
  SPEAKER_00: all the yeah,
• 40:43
  SPEAKER_00: but what about questions that we need to ask and address that,
• 40:46
  SPEAKER_00: letting really,
• 40:47
  SPEAKER_00: really smart people come up with the answers,
• 40:50
  SPEAKER_00: competing with each other in a free market way.
• 40:52
  SPEAKER_00: We can come up with those ideas.
• 40:55
  Okay,
• 40:55
  so I think before we conclude,
• 40:58
  I want to talk a bit about the future.
• 41:00
  SPEAKER_02: Where do you see the future headed in terms of AI?
• 41:03
  SPEAKER_02: Is it a bright one?
• 41:05
  SPEAKER_02: And what would be the best case scenario?
• 41:09
  SPEAKER_00: Well, it's always good to look at the future.
• 41:11
  SPEAKER_00: I don't know.
• 41:11
  SPEAKER_00: Hold on.
• 41:11
  SPEAKER_00: Let me get my crystal ball down here.
• 41:13
  SPEAKER_00: Oh, no.
• 41:13
  SPEAKER_00: The batteries are out on my crystal ball.
• 41:15
  SPEAKER_00: Let me rub it real well there.
• 41:16
  SPEAKER_00: I see what it is.
• 41:17
  SPEAKER_00: But I'll look way, way into the future, okay?
• 41:19
  SPEAKER_00: Like three months from now.
• 41:22
  SPEAKER_00: That's way, way into the future.
• 41:23
  SPEAKER_00: I think we're going to see the good and the bad.
• 41:26
  SPEAKER_00: It's like anything.
• 41:26
  Ever since my buddy Og came up with this invention a while back
• 41:30
  in the cave,
• 41:31
  he called it fire.
• 41:33
  SPEAKER_00: Back in the cave, he came up with this thing called fire.
• 41:35
  SPEAKER_00: It was like, wow, this fire is good.
• 41:37
  SPEAKER_00: It'll cook your meat for you.
• 41:39
  SPEAKER_00: It'll cook your meals.
• 41:40
  SPEAKER_00: It'll keep you warm at night.
• 41:41
  SPEAKER_00: That's good.
• 41:42
  SPEAKER_00: Wait a minute.
• 41:43
  SPEAKER_00: It can burn the place down.
• 41:44
  SPEAKER_00: Oh, no.
• 41:45
  SPEAKER_00: Oh, no.
• 41:45
  SPEAKER_00: And it can kill.
• 41:46
  SPEAKER_00: Well, true.
• 41:47
  SPEAKER_00: And it's been like technology has been like that.
• 41:50
  SPEAKER_00: So I think what we've got to do is realize it's normal that with AI,
• 41:54
  SPEAKER_00: we're going to see some good.
• 41:56
  SPEAKER_00: We're going to see some things not so good.
• 41:58
  SPEAKER_00: The goods coming, particularly on the medical side.
• 42:00
  SPEAKER_00: I mean,
• 42:01
  SPEAKER_00: we had a vivid,
• 42:01
  SPEAKER_00: I've been reading about it a lot,
• 42:03
  SPEAKER_00: but a couple of weeks ago,
• 42:04
  SPEAKER_00: we were at a
• 42:05
  SPEAKER_00: with Gina, my fiance and partner in business here.
• 42:10
  SPEAKER_00: She's past president of the Harvard Club of Central Florida.
• 42:13
  SPEAKER_00: And we were there for the meeting.
• 42:14
  And one of the people coming in was a doctor and graduated from
• 42:17
  Harvard Medical School.
• 42:18
  SPEAKER_00: We were talking and everything.
• 42:19
  SPEAKER_00: I said, what you doing these days?
• 42:20
  SPEAKER_00: And he said, oh, today we saw something amazing.
• 42:23
  SPEAKER_00: Look at this, what AI gave us.
• 42:25
  And he was showing us what he was doing as a radiologist
• 42:27
  conferring with other medical doctors.
• 42:30
  SPEAKER_00: Look what they just discovered today with this new AI technology.
• 42:34
  We found something wrong with this patient that several doctors
• 42:38
  thought everything is okay.
• 42:40
  SPEAKER_00: They looked at it, and to the best of their knowledge, it looked good.
• 42:43
  SPEAKER_00: But AI said, wait a minute, what about over here this?
• 42:45
  SPEAKER_00: He used some medical terms that I don't understand.
• 42:47
  SPEAKER_00: And I said, well, what happened?
• 42:48
  He said,
• 42:49
  oh,
• 42:49
  we looked at it,
• 42:50
  went back and did further tests,
• 42:52
  and he really did need it.
• 42:53
  SPEAKER_00: And we did that operation, we did this, and it saved his life.
• 42:56
  SPEAKER_01: Oh, wow.
• 42:59
  SPEAKER_00: Now,
• 42:59
  SPEAKER_00: the AI hadn't been there if we'd said,
• 43:01
  SPEAKER_00: no,
• 43:01
  SPEAKER_00: shut it down because we're using too much energy.
• 43:04
  SPEAKER_00: We're using too much water.
• 43:05
  SPEAKER_00: Well, I don't think that's a really good option to shut it down.
• 43:08
  I do think it's an imperative option to do something
• 43:12
  proactively and wisely,
• 43:14
  SPEAKER_00: knowing that what the doctors are doing,
• 43:16
  SPEAKER_00: they're literally saving lives.
• 43:19
  SPEAKER_00: What's going on with AI?
• 43:20
  Now,
• 43:20
  I think most reasonable people are going to say,
• 43:22
  yeah,
• 43:22
  we're all in favor of that.
• 43:23
  SPEAKER_00: Bringing in better healthcare at a lower cost available to more people,
• 43:29
  SPEAKER_00: hey,
• 43:30
  SPEAKER_00: that checks off several important boxes there.
• 43:33
  SPEAKER_00: So we can't give it up,
• 43:34
  SPEAKER_00: but we got to say,
• 43:35
  SPEAKER_00: all right,
• 43:35
  SPEAKER_00: it's kind of like learning to ride a bicycle.
• 43:37
  SPEAKER_00: If you fall off, you don't say, I'm not going to do it.
• 43:40
  And we should ban all bicycles because I fell off line and I
• 43:44
  even skinned my knee.
• 43:45
  SPEAKER_00: It hurt.
• 43:46
  SPEAKER_00: It did.
• 43:46
  SPEAKER_00: And I was bleeding a little bit.
• 43:48
  SPEAKER_00: Well, that's bad.
• 43:48
  SPEAKER_00: We understand.
• 43:50
  SPEAKER_00: And we treat that.
• 43:50
  SPEAKER_00: But we figure out how to get back on that bicycle the right way.
• 43:55
  SPEAKER_00: We learn from those mistakes,
• 43:56
  SPEAKER_00: putting in safeguards so we don't say,
• 43:58
  SPEAKER_00: you're learning to ride a bicycle,
• 43:59
  SPEAKER_00: go out and play in traffic.
• 44:01
  SPEAKER_00: No, no, no.
• 44:02
  SPEAKER_00: We don't do that.
• 44:03
  SPEAKER_00: We instead take a reasoned, calculated, thoughtful way of addressing it.
• 44:08
  SPEAKER_00: So in the future, I think we're going to see a lot of good.
• 44:11
  SPEAKER_00: I think there's going to be some challenges.
• 44:13
  SPEAKER_00: People are being laid off, and that is a real problem.
• 44:17
  SPEAKER_00: But we've seen that throughout history as well.
• 44:20
  SPEAKER_00: People were working with farmers,
• 44:23
  SPEAKER_00: were plowing the fields with mules,
• 44:25
  SPEAKER_00: and they could do so much.
• 44:26
  SPEAKER_00: But now we use machines.
• 44:28
  SPEAKER_00: Farmers who were doing that lost their job.
• 44:32
  SPEAKER_00: And the donkeys lost their job too,
• 44:34
  although the donkeys haven't complained very much about not
• 44:36
  having to do that,
• 44:37
  SPEAKER_00: the plowing the field thing.
• 44:38
  SPEAKER_00: They seem to be grouped.
• 44:39
  SPEAKER_00: The donkeys got together and talked about it.
• 44:41
  SPEAKER_00: They said, good.
• 44:42
  SPEAKER_00: They like the machines.
• 44:43
  But it's been a trend that machines are replacing people
• 44:46
  throughout history.
• 44:48
  SPEAKER_00: We use our brains so that people are not devastated.
• 44:51
  SPEAKER_00: And when they lose that job,
• 44:53
  we find other jobs and other ways for them to be successful and
• 44:57
  to be able to
• 44:58
  SPEAKER_00: achieve the goals they want.
• 44:59
  SPEAKER_02: Okay.
• 45:00
  SPEAKER_02: So we have one, I think, last question because we're running out of time.
• 45:04
  SPEAKER_02: From Karen also, can you comment on the following?
• 45:06
  AI programs restricted to agent-only access,
• 45:10
  such as Maltbook,
• 45:13
  create specialized...
• 45:15
  create specialized machine-to-machine environments where AI
• 45:20
  agents interact,
• 45:21
  SPEAKER_02: negotiate,
• 45:22
  SPEAKER_02: and sometimes develop independent protocols without human oversight.
• 45:26
  SPEAKER_02: Oh, wow.
• 45:27
  SPEAKER_02: Karen, you're really researching this.
• 45:29
  SPEAKER_02: Okay.
• 45:30
  SPEAKER_02: How would you respond to that, Terry?
• 45:33
  SPEAKER_00: First of all, I'd compliment Karen on what she's doing in the MaltBot.
• 45:35
  SPEAKER_00: By the way, they've changed that also.
• 45:37
  SPEAKER_00: It became MaltBot because it was ClaudeBot or something like that.
• 45:40
  SPEAKER_00: And the people at Claude
• 45:41
  SPEAKER_00: that have the real name Claude from Anthropic came and said,
• 45:44
  SPEAKER_00: wait a minute,
• 45:45
  SPEAKER_00: that sounds too much like us.
• 45:46
  SPEAKER_00: You got to change it.
• 45:46
  SPEAKER_00: They go, okay, we're going to use that.
• 45:48
  They changed it to the mall bot,
• 45:49
  which they then quickly said later,
• 45:50
  boy,
• 45:51
  that was a dumb name.
• 45:51
  SPEAKER_00: We shouldn't have used that.
• 45:52
  SPEAKER_00: Okay, whatever it is, kids, let's have fun with it.
• 45:55
  SPEAKER_00: But they're coming up with it.
• 45:56
  And the issue is,
• 45:58
  this is a club for the robots and the AI to get together.
• 46:03
  SPEAKER_00: And they're talking with each other about what to do.
• 46:04
  SPEAKER_00: And they've even started their own groups, like a Facebook group.
• 46:09
  SPEAKER_00: What is this real?
• 46:10
  SPEAKER_00: Well, it is.
• 46:11
  SPEAKER_00: What is that?
• 46:12
  SPEAKER_02: I never heard of it.
• 46:14
  SPEAKER_02: So I'm curious.
• 46:14
  SPEAKER_00: It's relatively new within the last week or so.
• 46:17
  SPEAKER_00: And so I think if you do a search on,
• 46:20
  SPEAKER_00: I think it's Malt,
• 46:22
  SPEAKER_00: I forget,
• 46:22
  I was reading it and listening to it at the University of
• 46:25
  YouTube yesterday,
• 46:26
  SPEAKER_00: seeing some of those things there.
• 46:28
  SPEAKER_00: So I'm not up on all of that.
• 46:30
  But hey,
• 46:31
  this is why we have ChatGPT and Grok and all those wonderful
• 46:35
  tools to go in there.
• 46:36
  And I would encourage all that are listening to this live or if
• 46:38
  you're watching in a recording.
• 46:40
  SPEAKER_00: Check out what it is doing now.
• 46:42
  SPEAKER_00: I think it's called a claw bot or something.
• 46:44
  SPEAKER_00: They have changed the name to something now that we can use.
• 46:47
  SPEAKER_00: And it looks like some good things.
• 46:48
  SPEAKER_00: If, like anything, we had proper oversight and care.
• 46:52
  SPEAKER_00: Think of it like airplanes.
• 46:54
  SPEAKER_00: Yes, terrible tragedy that people have died.
• 46:57
  SPEAKER_00: And airplane crashes, but we learn from that and we try to prevent it.
• 47:01
  SPEAKER_00: And more importantly,
• 47:02
  we have prevented air crashes when it could have happened
• 47:05
  because we learned from
• 47:07
  SPEAKER_00: it,
• 47:07
  SPEAKER_00: put systems in place,
• 47:09
  trained professionals who are flying in the airline industry to
• 47:12
  know what to do in
• 47:14
  SPEAKER_00: this circumstance when this happens and that happens.
• 47:17
  The simulators,
• 47:18
  for instance,
• 47:19
  that we have in airlines have saved untold thousands of lives.
• 47:22
  SPEAKER_00: We don't even know how many are saved.
• 47:23
  SPEAKER_00: It's good.
• 47:24
  SPEAKER_00: We need to do something similar to that with AI.
• 47:27
  SPEAKER_00: So that way we embrace the good.
• 47:28
  SPEAKER_00: We understand bad can be there and negative.
• 47:31
  We put systems in place so we can do it and then move forward
• 47:34
  because that's the
• 47:36
  SPEAKER_00: best alternative.
• 47:37
  SPEAKER_00: And I think it's going to be better for everyone all the way around.
• 47:41
  SPEAKER_02: All right.
• 47:41
  SPEAKER_02: So this has been wonderful, Terry.
• 47:44
  SPEAKER_02: If anyone has any more questions,
• 47:46
  SPEAKER_02: please feel free to post them now because we're about to conclude.
• 47:50
  SPEAKER_02: And Terry, how can people reach you?
• 47:54
  SPEAKER_02: How can they reach out to you?
• 47:55
  SPEAKER_02: What's the best place to...
• 47:58
  SPEAKER_02: Learn from all the wisdom you have, all the knowledge, your expertise.
• 48:02
  SPEAKER_02: How can people get in touch with you?
• 48:04
  SPEAKER_02: So this is your shameless plug here.
• 48:07
  SPEAKER_00: Well, thank you.
• 48:07
  SPEAKER_00: I appreciate that.
• 48:08
  SPEAKER_00: Well, we want to help you in ways that we might be able to.
• 48:10
  SPEAKER_00: If you've got a quick question,
• 48:11
  SPEAKER_00: just say,
• 48:11
  SPEAKER_00: hey,
• 48:12
  SPEAKER_00: Terry,
• 48:12
  I saw you there when you were on Natasha's podcast and they're
• 48:15
  onSubstack doing
• 48:16
  SPEAKER_00: this.
• 48:16
  SPEAKER_00: Let us know.
• 48:17
  SPEAKER_00: StarkRavingEntrepreneurs.com is our website.
• 48:22
  SPEAKER_00: And it's probably even easier to get in touch with me at TerryBrock.com.
• 48:26
  SPEAKER_00: And Terry and Brock can be spelled different ways.
• 48:29
  SPEAKER_00: Terry is T-E-R-R-Y, and Brock is spelled the right way, B-R-O-T-K.
• 48:36
  SPEAKER_00: So Terrybrock.com, and you'll find all that information about me.
• 48:40
  SPEAKER_00: And let me know if you caught it here.
• 48:42
  SPEAKER_00: Just drop me a question.
• 48:43
  SPEAKER_00: I'd be happy to help you on that where I can.
• 48:45
  SPEAKER_00: And if we can make the world better together, let's do it.
• 48:48
  SPEAKER_02: This is great.
• 48:49
  SPEAKER_02: This has been wonderful, Terry.
• 48:50
  SPEAKER_02: I personally learned a lot from this conversation,
• 48:53
  SPEAKER_02: and I'm sure the audience,
• 48:54
  SPEAKER_02: whether live or recorded,
• 48:56
  SPEAKER_02: are going to learn a lot as well.
• 48:58
  SPEAKER_02: And for everyone who joined us today,
• 49:01
  thank you for joining us for another episode of the Substack
• 49:04
  Writer's Salon.
• 49:06
  SPEAKER_02: And thank you, Terry, for your time.
• 49:07
  SPEAKER_02: Until we meet again.
• 49:09
  SPEAKER_01: Thank you, Nicar.
• 49:10
  SPEAKER_01: Bye now.
• 49:11
  SPEAKER_01: Thank you.
• 49:12
  SPEAKER_01: Bye-bye.