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Speaker 1: I get a team. It's a new project.

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Speaker 2: It's Stiffy and Cook, Patrick, James Bonello, craig Ethny Harper.

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Speaker 1: Once a week we get together and we do this.

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Speaker 1: We're still not sure why.

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Speaker 2: We seem to be a ruddless conversational ship, but nonetheless,

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Speaker 2: we just gather and we do it.

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Speaker 1: Hi, Patrick, We'll start with you.

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Speaker 3: I don't want to come out punching, but you actually

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Speaker 3: had two errors in the previous statement.

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Speaker 1: Okay, that's fine, go ahead.

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Speaker 3: Well we don't meet weekly. It's fortnightly, which I love,

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Speaker 3: and I look forward the highlight of my foot.

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Speaker 2: Okay, noted, thank you for the correction.

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Speaker 4: And you stumbled on the name and how long will

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Speaker 4: we know that to each other?

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Speaker 3: What is your name?

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Speaker 2: I was I actually had a momentary lapse about your

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Speaker 2: middle name, and that was because I was completely inappropriately

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Speaker 2: and unprofessionally looking at something on my phone. I would

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Speaker 2: yell at you two for doing that. So I'm going

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Speaker 2: to yell at my I'm going to yell at myself.

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Speaker 2: I was just I know there's no exs.

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Speaker 3: You can't.

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Speaker 2: Okay, I'm bad. Look I accept both bits of feedback.

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Speaker 2: You are correct, I am wrong.

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Speaker 1: There we go. That's how you do it. Everyone.

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Speaker 2: If somebody points out a mistake that you made or

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Speaker 2: a fault, just go fuck. Thanks for that, Patrick noted

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Speaker 2: taken on board, you can't won't do it again.

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Speaker 1: You're welcome.

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Speaker 3: I feel like we're in the moment now and I

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Speaker 3: feel a lot better and more recognized.

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Speaker 1: I feel seen, especially when you swear at me. TIF

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Speaker 1: How are you? How are your all?

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Speaker 5: I'm fabulous, some fabulous things apps.

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Speaker 2: I just had a coffee with Scottie Douglas, who is

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Speaker 2: a big fan of you and also a big fan

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Speaker 2: of Patrick. You wouldn't know who he is made he's

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Speaker 2: been on the show a couple of times, loves you,

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Speaker 2: and he's like, I never used to listen to the

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Speaker 2: Patrick episodes because I didn't listen to any, he said,

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Speaker 2: because I don't really give a fuck about tech, right,

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Speaker 2: And then he listened to one and he loved it,

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Speaker 2: and he goes, oh god, now I've got to go

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Speaker 2: back through them all because I love Patrick.

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Speaker 5: Oh.

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Speaker 3: Also, scott eat on your best friend. Thank you. You've

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Speaker 3: just made my day. After Craig abuses me at the

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Speaker 3: start of the show, right, well, you know.

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Speaker 2: That if I abuse you, especially if I call you

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Speaker 2: the sea word that you're in.

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Speaker 1: My top five, because I don't do that for anyone.

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Speaker 1: You're welcome.

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Speaker 2: But you know what is funny is this show has

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Speaker 2: got almost I mean it's loosely about tech, but people

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Speaker 2: don't listen to it for that. I think the majority

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Speaker 2: of people don't listen to it for that reason. So

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Speaker 2: let's not get too distracted with technology, shall we?

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Speaker 3: Yeah? Good idea, mate, that's great.

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Speaker 2: Before we do talk to Patrick in any detail. Tiffany

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Speaker 2: and Cook, what is new with you? What is going on?

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Speaker 2: You've got your big speaking event coming up in the

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Speaker 2: Sunshine State. You've been prepping like a fucking champion. You've

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Speaker 2: got a bit of nerves, You've got a bit of anxiety.

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Speaker 1: Have you picked out your frock? What are you wearing?

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Speaker 2: I'm sure you're wearing a good sensible frock as Mary

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Speaker 2: would say it in a track.

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Speaker 5: And I'm sure is shit not wearing a frock I've got?

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Speaker 2: Are you wearing overalls with like a spanner in your

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Speaker 2: pocket and a bit of grease on your chin?

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Speaker 3: Is a spatter in your pocket?

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Speaker 4: Tip?

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Speaker 2: I'm just happy to do my presentation.

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Speaker 5: There, we know frock there? I love it. Because all

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Speaker 5: the girls are getting here and makeup. I'm not fuck that, Yeah,

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Speaker 5: not at all, But I'm excited with Yeah, plenty of

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Speaker 5: nerves plenty because it is out of my comfort zone

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Speaker 5: the way that the whole things do it. But it's

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Speaker 5: coming together. I've pulled my head in, I've taken a

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Speaker 5: bit of my own medicine and leaned into the discomfort

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Speaker 5: and doing it someone else's way. And I'm just having

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Speaker 5: a crack.

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Speaker 3: Did you take Blake's advice when you say you're not

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Speaker 3: wearing a frock that you're going to do it naked?

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Speaker 3: You know how most people get up on stage and

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Speaker 3: they imagine the crowd's naked doing the reverse.

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Speaker 5: Definitely don't do that.

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Speaker 3: Just checking. I thought maybe distraction might be a good

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Speaker 3: strategy for sure. Not. I want to know what you're

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Speaker 3: gonna wear it? What are you gonna wear it? Because

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Speaker 3: you look pretty amazing and it doesn't matter what you wear,

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Speaker 3: you look great. But what do you think you wear?

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Speaker 5: Probably probably that ten dollars sparkly top I wore once before,

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Speaker 5: and my Freddy jeans.

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Speaker 3: So remember when we were led together. You're gonna wear

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Speaker 3: the same outfit or you.

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Speaker 5: Got well that was what they call it an orange

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Speaker 5: jail jumpsuit that wasn't mine, So no, I won't be

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Speaker 5: wearing that.

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Speaker 4: But so jeans and a sparkly top. Can you send

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Speaker 4: me a photo later?

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Speaker 3: Oh?

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Speaker 1: Absolutely, well pretty much sounds like you, Patrick.

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Speaker 2: I mean, I mean you could you two could just

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Speaker 2: bloody into change wardrobes.

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Speaker 1: Can we just clear up?

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Speaker 2: So, like you've got to go do You've been doing

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Speaker 2: part of this speaker's program and some of the some

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Speaker 2: of the people who did the course correct me if

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Speaker 2: I fuck any of this up, but got picked to

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Speaker 2: speak at an event and you're one of those people. Congratulations.

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Speaker 2: But the challenge for you is that you, who like me,

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Speaker 2: is very freestyle, which kind of means lazy and unplanned.

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Speaker 2: You've had to you've had to script it and you've

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Speaker 2: had to It's it's like, really in a way, it's

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Speaker 2: a performance, Like I mean, it's still you and there's

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Speaker 2: still your words. But am I right in that, it's

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Speaker 2: like it's got to be very scripted and very pre planned?

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Speaker 5: Yeah, very yeah, So it's very tightly planned.

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Speaker 2: And yeah, how is that for you?

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Speaker 1: Because that ain't you.

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Speaker 5: I know, it's been it's been a hell of it.

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Speaker 5: I've been very loud about it. I've been not the

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Speaker 5: best student, I can tell you that much.

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Speaker 2: But have you been quite oppositional?

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Speaker 5: Oh yeah, plenty of that. And in the final hour,

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Speaker 5: I thought, well, what is all this stuff you teach?

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Speaker 5: Oh that's right, shout the fuck up and do it.

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Speaker 3: Then?

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Speaker 5: So is there?

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Speaker 3: What is there?

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Speaker 2: And I'm not saying it's good or bad, It's I'm

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Speaker 2: not being critical. I'm being curious, like, what is the

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Speaker 2: what is her? Like your teacher person, we won't mention

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Speaker 2: what it is or who it is, but shout out

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Speaker 2: to her. Tip does say good things behind your back?

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Speaker 2: What like what's her philosophy? Then that it should be

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Speaker 2: as well choreographed, prepared and scripted as possible so you

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Speaker 2: can't fuck it up or no.

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Speaker 5: Well, and when they say scripted, the end result is

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Speaker 5: you're not going word for word script You just know

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Speaker 5: your content so tightly that you know where you're going

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Speaker 5: and you know the important perhaps to script.

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Speaker 3: I do.

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Speaker 5: I am open to believing that the potential of it

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Speaker 5: being a much better way to put it together might unfold.

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Speaker 5: I don't know if following this procedure exactly the way

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Speaker 5: I have is the best way for me, But I

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Speaker 5: think it'll iron out, and yeah, I think maybe the

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Speaker 5: end result is that it will be more powerful because

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Speaker 5: I will I will know exactly what I want to

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Speaker 5: be taken away and I won't leave anything out, and

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Speaker 5: it'll be a bit more Yeah.

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Speaker 2: I think the good thing about public speaking, professional whatever

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Speaker 2: is that there is no single way to do it.

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Speaker 2: Like I remember doing a gig with Stephen Bradbury, I

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Speaker 2: think three times, you know, the accidental gold medalists. Not

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Speaker 2: that he didn't deserve it, He fucking deserved it, but

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Speaker 2: I think every time it was pretty much verbatim word

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Speaker 2: for word, and it had you know, like video bits

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Speaker 2: in it and had like stories and every and it

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Speaker 2: was very formulaic, but every time it crushed right, every

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Speaker 2: time it did great. And so here's me, mister non

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Speaker 2: formula mister freestyle Lucy Goosey. And part of me was thinking,

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Speaker 2: why the fuck isn't that boring?

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Speaker 1: Just and then but.

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Speaker 2: Part of me is like, hey, shut up, dickhead. He's

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Speaker 2: getting paid shitloads and he's crushing three times in a row,

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Speaker 2: so this is actually working for him very well. That

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Speaker 2: probably wouldn't work for me. But then what I do

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Speaker 2: wouldn't work for him. So I think this is the

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Speaker 2: beauty of you know, like whether or not it's podcasting,

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Speaker 2: or whether or not it's you know, like building any

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Speaker 2: other kind of business or doing any other kind of

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Speaker 2: performedive thing.

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Speaker 1: It's not like.

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Speaker 2: There's a set way, but maybe what will happen is

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Speaker 2: you'll do this kind of this model, and then you

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Speaker 2: might end up in your own space moving forward, somewhere

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Speaker 2: between your loosey goosey style and this way more prepared style.

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Speaker 2: You might find a fit in the middle.

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Speaker 5: And I also love that all the work that goes

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Speaker 5: into this has given me something. Let's call it a

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Speaker 5: signature keynote, so I can have that if people want it,

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Speaker 5: or I can or I can have whatever version I

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Speaker 5: throw together to suit others events.

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Speaker 3: Cool.

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Speaker 2: I think you would have been a very good or

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Speaker 2: you would be if you wanted to be. You'd be

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Speaker 2: a very good presenter because you've got a great voice

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Speaker 2: and you're a great communicator. Have you ever thought about

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Speaker 2: doing stuff like that and what would you talk about?

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Speaker 3: Yeah, that's a really interesting one. I think I would

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Speaker 3: love to do that because I actually loved talking and

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Speaker 3: communicating and that's been my whole career, and I think

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Speaker 3: it's something that I've just always thrived on and I

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Speaker 3: have thought about it a little bit, you know, I've

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Speaker 3: kind of moved in different spaces. I did a few

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Speaker 3: lectures when I was a journalist at Federation University, talking to,

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Speaker 3: you know, young journalists or people studying to be journalists

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Speaker 3: about what it was actually like to work in a

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Speaker 3: breakfast newsroom and a lot of fun. It was just

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Speaker 3: a thing that I did once a year to the

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Speaker 3: journalism students. I don't know, it's a tough call. I

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Speaker 3: think there's lots of things that I can talk about.

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Speaker 3: It's funny I went to and this kind of has

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Speaker 3: a close connection. But I thought of that two of

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Speaker 3: you when I went to my very first improv night

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Speaker 3: and the local council here through our neighborhood center, ran

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Speaker 3: a four week course with a professional guy who's moved

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Speaker 3: to the land who does improv. And I knew a

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Speaker 3: lot of people who were doing the course, and so

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Speaker 3: it was fun to go along and see them do

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Speaker 3: this improv and I'd never experienced it before, and I thought, improv,

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Speaker 3: that'd be so easy.

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Speaker 4: We do that every fortnight? How hard?

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Speaker 3: But they got the audience to throw out a reference

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Speaker 3: word and they had to improv around that. And listening

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Speaker 3: to what Tiff was saying, I reckon I would struggle

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Speaker 3: to follow a script. You know, A good thing about

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Speaker 3: what you've done is kind of pushing you out of

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Speaker 3: your comfort zone, and then it probably is going to

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Speaker 3: help with structuring things a little bit more like running

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Speaker 3: to a not so much a script, but a structure.

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Speaker 3: And I think that's where you're probably going to take

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Speaker 3: a little bit of this and a little bit of that,

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Speaker 3: and it's going to make you an overall better speaker.

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Speaker 3: But I would love to talk to people about I mean,

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Speaker 3: I don't often talk about this very very much, and

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Speaker 3: I've had a challenging childhood. It's it's something that you

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Speaker 3: know in some areas it was kind of challenging. I

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Speaker 3: had a bit of childhood trauma and bullying when I

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Speaker 3: was a kid, and I've often thought if that could

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Speaker 3: help someone to know about adversity and coming from adversity.

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Speaker 3: In fact, Tiff and I were talking about partnering up

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Speaker 3: and maybe doing something together and running a workshop to

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Speaker 3: talk about resilience and that sort of thing, and I

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Speaker 3: think that's kind of fueled my love of tai chi

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Speaker 3: and breaking away from those things that can really hinder

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Speaker 3: us in our daily lives. So I think that would

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Speaker 3: be the topic that I'd like to most focus on,

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Speaker 3: something that I feel would really bring value to people's lives.

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Speaker 3: For me, that's a big thing.

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Speaker 2: You should maybe put some thought and work into that

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Speaker 2: and see what comes out the other side. I think

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Speaker 2: you would be it'd be good at that, and people

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Speaker 2: like you and yeah, you're authentic, and it's I think

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Speaker 2: that might resonate.

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Speaker 1: Let's talk about tech.

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Speaker 4: Shall we just give a shot at Scotty when you mate?

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Speaker 2: Okay, it doesn't seem like this is the time to

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Speaker 2: do that, but.

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Speaker 1: Sure, go on.

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Speaker 3: You know, wasn't that your friend that you had breakfast

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Speaker 3: with this morning? Was that Scotty?

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Speaker 1: Oh? I had no idea. Yeah, sure you can, yeah it.

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Speaker 4: I just thought it'd be nice to say hi. Listening

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Speaker 4: to me.

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Speaker 1: On the Patrick's not desperate at all. Will send you

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Speaker 1: his will send you his number later. Patrick.

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Speaker 2: It appears to me I heard this last night on

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Speaker 2: the news and it's on the top of your to

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Speaker 2: chat about list. Open ai is allowing mature content now,

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Speaker 2: am I interpreting that? As pawn non chat GPT for

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Speaker 2: adult verified users starting in December.

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Speaker 1: What does that actually mean?

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Speaker 3: Well, Sam Altman, the bloke who you know, the big AI, Meger, giant,

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Speaker 3: enormous company, what he's saying is it means that you

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Speaker 3: could potentially interact with your AI chatbot in a more

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Speaker 3: adult like way and not be hindered by that conversation.

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Speaker 3: So I don't think it's about producing porn. I think

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Speaker 3: it's having.

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Speaker 1: Dirty, dirty conversations with AI.

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Speaker 3: Yeah, maybe, I don't know. He hasn't really specified. Basically,

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Speaker 3: what he's saying is they want to roll out, you know,

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Speaker 3: you know, make that age restriction thing and treat adults

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Speaker 3: like adult users. And if adult users want to have

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Speaker 3: a more saucy conversation with AI, should we stand in

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Speaker 3: the way of that? Don't laugh, It's just.

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Speaker 2: Like, yeah, there's so many hilarious things that are fucking

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Speaker 2: bolting through my mind at the moment. What's the first thing,

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Speaker 2: even even for me somewhat inappropriate, what's the first Well,

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Speaker 2: let's see what happens with that.

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Speaker 1: Would you use it? Patrick?

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Speaker 3: No? Probably not, Tiff.

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Speaker 2: Nah, All right, Well we'll see what happens with that. Patrick,

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Speaker 2: Stay tuned. Everybody. Patrick might be getting a new boyfriend.

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Speaker 2: It sounds like his name is open. What you asked

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Speaker 2: us if we I know?

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Speaker 3: Would you no? I just want to dark question, I think, And.

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Speaker 2: I'm not just saying that I know that would give

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Speaker 2: me the opposite of the effect that some people would

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Speaker 2: want know what I'm saying like that would No, My

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Speaker 2: brain and my body does not work like that at all.

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Speaker 2: Google Search are introducing AI mode in Australia. What does

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Speaker 2: that even mean Google Search?

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Speaker 3: Well, it means that you can do more complicated searches

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Speaker 3: with a much broader text string, and you can do

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Speaker 3: it via input with text, images or voice. So I

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Speaker 3: might say, Tiffing, and I want to do a chocolate

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Speaker 3: tour of Melbourne in the CBD that takes three hours,

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Speaker 3: and we want to do it on a Saturday, starting

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Speaker 3: at five o'clock. So what we do is it?

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Speaker 1: You've thought about that prompt, haven't you. You've definitely thought

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Speaker 1: about that.

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Speaker 5: To bed earlier. Patrick. If that's a real thing.

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Speaker 3: Sure I'm into it. So you can do more complicated,

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Speaker 3: complicated text strings of information and it will be able

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Speaker 3: to do that, so it will not just answer one question.

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Speaker 3: Then you're going to do another query, then answer another

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Speaker 3: question to another query. So it will make the conversation

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Speaker 3: a lot more human like in terms of the way

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Speaker 3: that we communicate, and it will make those searches a

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Speaker 3: lot better. You know, you might say, I want to

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Speaker 3: go on holiday. I'm thinking of flying to Queensland. What's

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Speaker 3: the best time of the year to do that. I

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Speaker 3: don't want the weather to be hotter than thirty degrees

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Speaker 3: And those sorts of con stations will allow the integrated

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Speaker 3: AI to do a more comprehensive search, drawing on lots

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Speaker 3: and lots of different resources, rather than just going to

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Speaker 3: one resource website. It would then be able to look

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Speaker 3: at a whole lot of things before it responded.

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Speaker 1: So it's I mean, kind of just another AI, really.

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Speaker 3: Right, Yeah, it is, but it's an ALI in a

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Speaker 3: specific sense because it's drawing on real time information. So

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Speaker 3: the large language models we think about a resourced So

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Speaker 3: if you're getting a picture of an elephant being drawn

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Speaker 3: for you that's wearing a top hat and riding a unicycle, well,

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Speaker 3: then it's going to reference stuff that it's learnt previously,

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Speaker 3: whereas this is using real time information because it might

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Speaker 3: need flight data, it might be looking at current weather,

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Speaker 3: that sort of stuff, so it is more real time

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Speaker 3: than what the conventional AI models are although check GPT

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Speaker 3: and hours incorporating real time information, so it is a

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Speaker 3: lot better.

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Speaker 1: Well, the next one doesn't seem like a good idea.

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Speaker 2: Creators, Are you using AI to prank loved ones with

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Speaker 2: fake homeless intruders?

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Speaker 3: I saw this and it was so disturbing to see it.

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Speaker 3: There's so many stupid searches and stupid things was being

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Speaker 3: used for. And what it was was this girl or

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Speaker 3: young woman pranked her father by taking photos in her house.

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Speaker 3: So initially she has this bearded homeless guy standing at

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Speaker 3: the front door and she takes a photo.

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Speaker 1: So she takes a.

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Speaker 3: Photo and the AI superimposes this what appears to be

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Speaker 3: a homeless man standing at the front door. She texts

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Speaker 3: her father and says, oh, one of your friends just

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Speaker 3: rocked up of led him in. And then she shows

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Speaker 3: a picture of her kitchen and there's the same bloke

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Speaker 3: having a coffee, then blokes sitting on the couch, and

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Speaker 3: so she's making up this whole scenario and sending it

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Speaker 3: to her father, and of course he's freaking out. He's saying,

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Speaker 3: I don't know who this is, you know, what does

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Speaker 3: you want? Why did you let him inside the house?

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Speaker 3: And of course this I mean, the problem with a

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Speaker 3: lot of this stuff is that it has it been

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Speaker 3: sensationalized and is it all set up or is it

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Speaker 3: actually a real thing. I mean, the technology certainly is there.

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Speaker 3: You can superimpose someone into a shot now and in

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Speaker 3: fact I didn't put it into our articles, but I

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Speaker 3: find it really disturbing where you can now in real

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Speaker 3: time use AI. I think Google's rolling it out on

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Speaker 3: some of the pixel phones and Android phones, where you

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Speaker 3: can change the vision or the scene that you're looking

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Speaker 3: at and incorporate things that are not even there into

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Speaker 3: the photo you're about to take. That freaks me out

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Speaker 3: as well, someone who loves capturing the moment in real time.

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Speaker 3: You know, if I'm walking or hiking and I see

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Speaker 3: a spider web that's got dew on it and the

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Speaker 3: sunlight's hitting it in the right way, I'll take a

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Speaker 3: photo or a beautiful sunrise or sunset and those moments

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Speaker 3: are fleeting. You know, the cloud and the sky that

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Speaker 3: you look at now you'll never see again in that shape,

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Speaker 3: in that design. You know, those moments are beautifully capture

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Speaker 3: if you hip at the right time, but suddenly if

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Speaker 3: you're using AI, and in this case, it's a really

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Speaker 3: terrible way to prank someone. So it's just a really

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Speaker 3: weird TikTok trend at the moment, and it does my

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Speaker 3: head in sometimes I overthink it. What's your thoughts cray going.

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Speaker 2: And yeah, I just think that we need to be

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Speaker 2: careful like with all of this that people are. You know,

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Speaker 2: there's so much now that even comes across my social

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Speaker 2: media feed where it's the AI is so good as

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Speaker 2: in it it looks so.

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Speaker 1: Real that.

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Speaker 2: You spend half your life going, oh, is that actually

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Speaker 2: a dog doing this? Or is this somebody who created

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Speaker 2: an AI that looks like a dog doing that or

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Speaker 2: whatever the thing is, And I think that's I don't

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Speaker 2: know how that's going to unfold moving forward.

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Speaker 1: But also, you know, I mean, what that girl was.

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Speaker 2: Doing with her dad and the in inverted commas homeless

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Speaker 2: guy just to me seems like a silly idea to

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Speaker 2: start with. But when you think of more kind of

396
00:20:03,320 --> 00:20:08,080
Speaker 2: you know, subversive kind of unethical applications of this, you know,

397
00:20:08,200 --> 00:20:11,520
Speaker 2: people are like moving forward just trying to figure out

398
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Speaker 2: who do I trust and what do I trust online?

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Speaker 2: Because I think that's one of the biggest issues. Now

400
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Speaker 2: you don't know what is real, you don't know what

401
00:20:19,400 --> 00:20:24,320
Speaker 2: is bullshit, you don't know what's fake, and it's like

402
00:20:24,400 --> 00:20:28,560
Speaker 2: a real and it's it's difficult, I think. Also, you know,

403
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Speaker 2: like I'm sixty as fuck, I don't know. Maybe the

404
00:20:31,600 --> 00:20:34,280
Speaker 2: twelve year olds do, maybe Tiff does, maybe you do,

405
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Speaker 2: but like a huge percentage of people that aren't particularly

406
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Speaker 2: tech savvy, you know, then at the far end of

407
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Speaker 2: the spectrum, my mum and dad who get phone calls

408
00:20:44,920 --> 00:20:47,360
Speaker 2: from people who want them to do this and touch

409
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Speaker 2: you know whatever. Yeah, So it's it's a slippery slope

410
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Speaker 2: and I hope it gets easier, not harder.

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Speaker 3: One of the big concerns, and this is happening right now,

412
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Speaker 3: is using AI where state operators. So we're talking about

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Speaker 3: you know, government backed hackers and people using AI to

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Speaker 3: try to influence elections. We've seen it happen in the

415
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Speaker 3: United States, We've seen it happen overseas, and even misrepresentations

416
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Speaker 3: of what's going on in Ukraine. And you know the

417
00:21:18,040 --> 00:21:20,639
Speaker 3: problem is it's getting so accurate. As you pointed out,

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Speaker 3: it's hard to tell what's real and what isn't real.

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Speaker 3: And that's where it's almost like, gosh, I wish there

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Speaker 3: was some sort of AI filter to disallow that. I

421
00:21:31,400 --> 00:21:35,560
Speaker 3: think we've descended into a rabbit hole that's exceptionally frightening

422
00:21:35,920 --> 00:21:38,200
Speaker 3: if it's getting used in that way. It's one thing

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Speaker 3: to prank your dad and with a homeless bloke sitting

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Speaker 3: on your couch, it's another thing entirely to try to

425
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Speaker 3: swing public opinion or cause hate because of something that's

426
00:21:49,160 --> 00:21:53,720
Speaker 3: being politically manipulated to try to you know, misrepresent the

427
00:21:53,760 --> 00:21:58,200
Speaker 3: opposition or misrepresent the sitting government. Those sorts of insurgencies

428
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Speaker 3: can be exceptionally frightening, and you know, it's really worrying

429
00:22:02,840 --> 00:22:06,360
Speaker 3: because it's these tools are now so freely available. That's

430
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Speaker 3: the other thing, you know, Sam Altman's talking about. Great

431
00:22:09,359 --> 00:22:12,040
Speaker 3: Now you can talk sex stuff with your AI chatbot

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Speaker 3: and that's going to work for some people but not

433
00:22:14,160 --> 00:22:17,960
Speaker 3: for everybody. But where does that take us? With these

434
00:22:18,000 --> 00:22:20,280
Speaker 3: tools getting better and better and better, You know, the

435
00:22:20,359 --> 00:22:22,439
Speaker 3: genie is well and truly out of the bottle.

436
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Speaker 2: And you think about you think, like part of me

437
00:22:27,000 --> 00:22:31,199
Speaker 2: is like part of me is like okay, so somebody

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Speaker 2: who's living on their own, who doesn't have a partner,

439
00:22:33,280 --> 00:22:37,400
Speaker 2: who doesn't have intimacy, who doesn't feel that emotional connection,

440
00:22:37,480 --> 00:22:41,480
Speaker 2: who doesn't feel loved or seen or valued, and then

441
00:22:41,520 --> 00:22:44,439
Speaker 2: they have this resource where maybe they can get some

442
00:22:44,560 --> 00:22:46,600
Speaker 2: of that or feel like they get some of that.

443
00:22:46,720 --> 00:22:52,560
Speaker 2: So I have compassion and empathy there. So from that perspective,

444
00:22:53,280 --> 00:22:56,280
Speaker 2: the mind guy, I get it. The emotion guy, I

445
00:22:56,359 --> 00:22:58,960
Speaker 2: get it, or the human behavior, I get that, And

446
00:22:59,240 --> 00:23:02,840
Speaker 2: I think maybe that even serves a positive purpose for some.

447
00:23:02,920 --> 00:23:06,280
Speaker 2: But then on the other side, like Devil's advocate, I go, okay,

448
00:23:06,400 --> 00:23:10,400
Speaker 2: So now you know, people are building potentially these more

449
00:23:10,440 --> 00:23:15,520
Speaker 2: and more intimate relationships with this thing that's not real.

450
00:23:15,840 --> 00:23:18,600
Speaker 2: It's not a human, it doesn't actually have any emotions,

451
00:23:18,640 --> 00:23:22,520
Speaker 2: it doesn't actually care about you. It's a program. It's

452
00:23:22,560 --> 00:23:25,480
Speaker 2: a program that's pushing your buttons to make you feel

453
00:23:25,480 --> 00:23:30,479
Speaker 2: a certain way. And then what happens if somehow or

454
00:23:30,480 --> 00:23:35,600
Speaker 2: for some reason that technology disappears. You know, now we've

455
00:23:35,640 --> 00:23:41,120
Speaker 2: got people addicted to technologies and addicted to these technological

456
00:23:41,240 --> 00:23:43,920
Speaker 2: biological interface relationships.

457
00:23:43,960 --> 00:23:45,200
Speaker 1: Do you like that term? Patrick?

458
00:23:45,320 --> 00:23:50,399
Speaker 2: And I just see probably more problems and solutions. But

459
00:23:50,880 --> 00:23:53,360
Speaker 2: I'm just an old trying to fucking figure it out

460
00:23:53,359 --> 00:23:54,040
Speaker 2: in real time.

461
00:23:54,160 --> 00:23:56,680
Speaker 3: Okay, if we went back in time six hundred years

462
00:23:56,680 --> 00:24:00,880
Speaker 3: and I took you to Sparta, right, and I of.

463
00:24:00,840 --> 00:24:04,760
Speaker 2: Course you picked Sparta. Yeah, the fucking I know why

464
00:24:04,800 --> 00:24:06,960
Speaker 2: you picked Sparta. Just a whole lot of men in

465
00:24:07,000 --> 00:24:09,280
Speaker 2: not many clothes. Yeah, but go on, we could have

466
00:24:09,320 --> 00:24:10,879
Speaker 2: picked any other time in history.

467
00:24:11,520 --> 00:24:12,960
Speaker 3: No, No, I have a specific reason.

468
00:24:13,040 --> 00:24:14,639
Speaker 2: I don't think it was six hundred. I think it

469
00:24:14,680 --> 00:24:18,360
Speaker 2: was like two thousand whatever. You know, don't it wasn't

470
00:24:18,400 --> 00:24:19,400
Speaker 2: the fifteen hundreds.

471
00:24:19,440 --> 00:24:23,199
Speaker 3: Bro Thatt's come on, a good story, all right, come on,

472
00:24:23,320 --> 00:24:23,880
Speaker 3: let's hear it.

473
00:24:24,200 --> 00:24:26,080
Speaker 4: I think of the movie six hundred. That's where that

474
00:24:26,119 --> 00:24:29,280
Speaker 4: got into my head. Three hundred whatever, It was just

475
00:24:29,520 --> 00:24:30,360
Speaker 4: twice as many things.

476
00:24:30,440 --> 00:24:32,399
Speaker 2: What do you mean whatever, If you're going to say

477
00:24:32,440 --> 00:24:34,440
Speaker 2: something fucking makes sense.

478
00:24:34,280 --> 00:24:37,280
Speaker 3: I watched it twice, so that made it six hundred, didn't.

479
00:24:37,680 --> 00:24:39,160
Speaker 3: Sorry anyway, you.

480
00:24:39,160 --> 00:24:41,520
Speaker 2: Know it's not just us two listening. You know, you've

481
00:24:41,520 --> 00:24:43,480
Speaker 2: got to try and make sense to the audience.

482
00:24:43,840 --> 00:24:49,639
Speaker 3: Scotty Scotty Wait, Mindy Scotty jumped off five minutes ago. Wellard,

483
00:24:49,760 --> 00:24:53,159
Speaker 3: I know he's worried that I haunted him in social

484
00:24:53,200 --> 00:24:56,520
Speaker 3: media now, so no, no, what I'm getting at is right.

485
00:24:56,560 --> 00:24:59,400
Speaker 3: We take you back in time to Sparta, right, and

486
00:24:59,720 --> 00:25:01,480
Speaker 3: like he did at the start of the show, you

487
00:25:01,560 --> 00:25:04,399
Speaker 3: rip off his shirt and show you ripped abs. And

488
00:25:05,119 --> 00:25:08,240
Speaker 3: he did so he did. He lifted his shirt and

489
00:25:08,320 --> 00:25:10,680
Speaker 3: showed off his apps, which were very impressive a month so.

490
00:25:12,720 --> 00:25:15,080
Speaker 1: But I did not rip off my shirt.

491
00:25:15,359 --> 00:25:17,320
Speaker 3: Well it wasn't quite ripping off his shirt, but did

492
00:25:17,359 --> 00:25:18,400
Speaker 3: you expose yourself?

493
00:25:18,440 --> 00:25:19,600
Speaker 4: Come on, didn't you?

494
00:25:19,720 --> 00:25:21,320
Speaker 1: Fucking Now this is getting worse.

495
00:25:22,280 --> 00:25:23,840
Speaker 5: I'm staying out of it.

496
00:25:24,600 --> 00:25:28,440
Speaker 3: Thanks Tip, anyway, can I please finish? My god?

497
00:25:30,280 --> 00:25:31,280
Speaker 1: Could you get interesting?

498
00:25:31,359 --> 00:25:33,240
Speaker 2: Because I'm nodding off with everyone else.

499
00:25:34,000 --> 00:25:36,080
Speaker 3: It's a good idea everyone.

500
00:25:36,080 --> 00:25:38,440
Speaker 1: I'm sorry about today. We'll do better next time.

501
00:25:38,480 --> 00:25:41,679
Speaker 2: Patrick's not back in a week as previously advertised, but

502
00:25:41,720 --> 00:25:43,320
Speaker 2: it'll be back in two weeks.

503
00:25:43,119 --> 00:25:46,600
Speaker 3: Thank god. Everyone is so anyway, which is what this

504
00:25:46,960 --> 00:25:48,960
Speaker 3: whole concept that sounded good in my head when I

505
00:25:48,960 --> 00:25:51,360
Speaker 3: first started. Now ten minutes later it's not as good,

506
00:25:51,359 --> 00:25:52,679
Speaker 3: but I'm going to say it anyway.

507
00:25:53,000 --> 00:25:57,080
Speaker 4: Well, yeah, come on, we take you back to Sparta.

508
00:25:57,480 --> 00:26:01,760
Speaker 3: You rip off your top and then mister Spartan bloke

509
00:26:01,920 --> 00:26:04,000
Speaker 3: rips off his top or probably hasn't got a top

510
00:26:04,000 --> 00:26:06,640
Speaker 3: on the start with. And he looks at you and

511
00:26:06,680 --> 00:26:09,439
Speaker 3: he says, how many people have you killed to be

512
00:26:09,680 --> 00:26:12,480
Speaker 3: that physical man that you are? And you say, man,

513
00:26:12,520 --> 00:26:15,840
Speaker 3: I use a smith machine and dumbbells. That's not authentic

514
00:26:15,920 --> 00:26:18,879
Speaker 3: at all. It's like, well, who's the real man here,

515
00:26:19,119 --> 00:26:20,320
Speaker 3: who's the real warrior?

516
00:26:20,600 --> 00:26:22,680
Speaker 4: And I'm saying, so, I know it's a.

517
00:26:22,600 --> 00:26:23,399
Speaker 3: Really bad at allergy.

518
00:26:23,720 --> 00:26:26,159
Speaker 2: Hell, this is the worst analogy of all time. Do

519
00:26:26,200 --> 00:26:29,600
Speaker 2: you want to rethink this? Because everybody's just gone to

520
00:26:29,600 --> 00:26:34,359
Speaker 2: get a cup of tea and fucking wow, what is

521
00:26:34,760 --> 00:26:38,720
Speaker 2: Can I just say you no elephants stamp today like nothing.

522
00:26:40,480 --> 00:26:44,119
Speaker 3: The poor woman who I recently read an article about,

523
00:26:44,119 --> 00:26:49,040
Speaker 3: who had very severe face disfigurement, had formed a relationship

524
00:26:49,040 --> 00:26:51,920
Speaker 3: with an AI chatbot and to her it was real,

525
00:26:52,520 --> 00:26:55,360
Speaker 3: So unlike the spartan man who had been out there

526
00:26:55,359 --> 00:26:57,720
Speaker 3: and met the real person Craig who's been in a

527
00:26:57,800 --> 00:27:00,639
Speaker 3: gym and using fake equipment to get that body.

528
00:27:01,480 --> 00:27:03,480
Speaker 4: So what I'm saying is it's all the matter.

529
00:27:03,560 --> 00:27:05,399
Speaker 2: You're saying the only way to get in shape is

530
00:27:05,480 --> 00:27:10,080
Speaker 2: kill people, and that's better than a smith machine and dumbbells. Okay, wow,

531
00:27:10,200 --> 00:27:14,159
Speaker 2: shout out to the sociopaths and psychopaths. Patrick's starting a

532
00:27:14,200 --> 00:27:17,320
Speaker 2: new program, how to Kill for lean mass.

533
00:27:17,760 --> 00:27:19,439
Speaker 3: I think you're bringing into it that a little bit

534
00:27:19,440 --> 00:27:21,960
Speaker 3: too deeply now. But what I'm saying is using an

535
00:27:21,960 --> 00:27:25,000
Speaker 3: AI and forming an AO relationship for some people may

536
00:27:25,040 --> 00:27:27,639
Speaker 3: be a real comfort that they make. Because when you

537
00:27:27,640 --> 00:27:29,959
Speaker 3: first started that story about the poor lonely person who

538
00:27:30,040 --> 00:27:32,320
Speaker 3: lives alone, I'm thinking, what the fuck you're talking about?

539
00:27:32,320 --> 00:27:36,680
Speaker 3: All of us? We all live alone, for crying out loud, exactly.

540
00:27:37,160 --> 00:27:39,240
Speaker 2: But I also said it could be good, it could

541
00:27:39,280 --> 00:27:39,920
Speaker 2: be a positive.

542
00:27:39,960 --> 00:27:40,720
Speaker 1: I'm saying that.

543
00:27:41,119 --> 00:27:45,000
Speaker 2: I'm saying that there can be an upside, especially for

544
00:27:45,040 --> 00:27:47,760
Speaker 2: people who really feel disconnected and so on. But the

545
00:27:47,800 --> 00:27:51,760
Speaker 2: author I'm also saying, but it ain't all necessarily good.

546
00:27:51,920 --> 00:27:53,320
Speaker 1: I think you've got to look at.

547
00:27:53,800 --> 00:27:56,080
Speaker 2: I mean, rather than taking a side, I think you

548
00:27:56,160 --> 00:27:59,040
Speaker 2: want to try and look objectively about pros and cons

549
00:27:59,040 --> 00:28:02,359
Speaker 2: for everything. Otherwise you're just sitting on one side of

550
00:28:02,359 --> 00:28:04,240
Speaker 2: the fence and you're not open. Do I think it

551
00:28:04,280 --> 00:28:04,840
Speaker 2: could be good?

552
00:28:04,960 --> 00:28:07,480
Speaker 1: Yes? Do I think it could be problematic? Yes?

553
00:28:07,560 --> 00:28:11,280
Speaker 2: I think it depends on context, person, and situation. But

554
00:28:12,240 --> 00:28:14,640
Speaker 2: you know, there are so many variables around and I'm

555
00:28:14,640 --> 00:28:17,320
Speaker 2: not trying to be too serious, but it's like, are

556
00:28:17,359 --> 00:28:21,320
Speaker 2: drugs bad? Well, it depends what drugs, what you're taking,

557
00:28:21,359 --> 00:28:23,600
Speaker 2: how much, how often. But for a lot of people,

558
00:28:23,680 --> 00:28:26,760
Speaker 2: drugs will save their life. It's not black and white

559
00:28:26,800 --> 00:28:30,320
Speaker 2: with these things. It depends on the application and the situation.

560
00:28:31,200 --> 00:28:34,040
Speaker 2: And so for a lot of people, technology is just

561
00:28:34,080 --> 00:28:36,400
Speaker 2: a tool they use to make money and do good shit.

562
00:28:36,480 --> 00:28:39,480
Speaker 2: For other people it's an addiction that's fucking up their

563
00:28:39,520 --> 00:28:41,800
Speaker 2: life and they can't leave their bedroom because they're.

564
00:28:41,600 --> 00:28:43,960
Speaker 1: Playing games eight in hours a day.

565
00:28:44,120 --> 00:28:46,880
Speaker 2: So I just think it's not that arbitrary.

566
00:28:47,640 --> 00:28:50,840
Speaker 3: Yeah, now I agree, but I think that there's a

567
00:28:50,840 --> 00:28:54,080
Speaker 3: lot of hope there for people to be able to

568
00:28:54,160 --> 00:28:58,120
Speaker 3: try to use technology to fill avoid they might have

569
00:28:58,200 --> 00:29:00,680
Speaker 3: in their lives and if that can done in a

570
00:29:00,680 --> 00:29:04,880
Speaker 3: supportive way. But I think the problem is oversight, like anything.

571
00:29:04,960 --> 00:29:07,720
Speaker 3: You know, we were talking about Google using its more

572
00:29:07,720 --> 00:29:12,160
Speaker 3: advanced chat feature. You know, in your doing Google searching now,

573
00:29:12,200 --> 00:29:15,640
Speaker 3: a lot of use websites are reeling at the moment

574
00:29:15,760 --> 00:29:18,440
Speaker 3: because when you do a search in Google now you

575
00:29:18,480 --> 00:29:22,280
Speaker 3: get an AI overview of the information. So for example,

576
00:29:22,320 --> 00:29:26,440
Speaker 3: if I said find out about the typ podcast rather

577
00:29:26,520 --> 00:29:29,840
Speaker 3: than sending you to the TYP website. It would give

578
00:29:29,880 --> 00:29:33,240
Speaker 3: you a bit of an overview. So TYP podcast hosted

579
00:29:33,240 --> 00:29:37,120
Speaker 3: by Craig Harper, you know, supported by tif Cook and

580
00:29:37,240 --> 00:29:40,440
Speaker 3: occasional guest Patrick Barnello. Done okay, so gives you an overview.

581
00:29:40,440 --> 00:29:41,920
Speaker 3: It's like I don't need to know anything else. That's

582
00:29:41,960 --> 00:29:46,840
Speaker 3: the TYP podcast. Now, news sites have lost as much

583
00:29:46,880 --> 00:29:50,680
Speaker 3: as sixty percent of their traffic since this has been introduced.

584
00:29:51,040 --> 00:29:55,160
Speaker 3: The problem being is that Google is taking the information

585
00:29:55,400 --> 00:29:59,520
Speaker 3: from those sites without their permission, but not sending the

586
00:29:59,560 --> 00:30:03,000
Speaker 3: traffic to the sites. They're basically saying, this is the story,

587
00:30:03,040 --> 00:30:04,640
Speaker 3: this is the information. I'm going to give you it

588
00:30:04,720 --> 00:30:07,760
Speaker 3: in a very summarized form, and then people are not

589
00:30:07,920 --> 00:30:10,960
Speaker 3: needing to go to the sites. So these news websites

590
00:30:10,960 --> 00:30:12,880
Speaker 3: are saying, well, you're using our sites to serve up

591
00:30:12,920 --> 00:30:15,400
Speaker 3: that information. But because they haven't got the traffic, then

592
00:30:15,440 --> 00:30:17,840
Speaker 3: their ad revenue is going to drop because people aren't

593
00:30:17,880 --> 00:30:20,760
Speaker 3: going there. And if they've lost sixty percent of their traffic,

594
00:30:20,800 --> 00:30:23,960
Speaker 3: they've also lost sixty percent of their revenue as well.

595
00:30:24,160 --> 00:30:26,720
Speaker 3: And that's where this there's disconnect in terms of what's

596
00:30:26,760 --> 00:30:28,400
Speaker 3: being searched and what's being delivered.

597
00:30:28,440 --> 00:30:32,280
Speaker 2: So if that website's public domain though, right, and anyone

598
00:30:32,320 --> 00:30:34,520
Speaker 2: can go on there and look at it, and then

599
00:30:34,560 --> 00:30:36,760
Speaker 2: Google goes and looks at it and then tells you

600
00:30:36,800 --> 00:30:39,480
Speaker 2: what's on there. So yeah, I understand what you're saying,

601
00:30:39,520 --> 00:30:43,360
Speaker 2: but I mean, this is just that the rate of

602
00:30:43,360 --> 00:30:48,240
Speaker 2: evolution and development and change in their space is somebody

603
00:30:48,280 --> 00:30:50,719
Speaker 2: is going to be disadvantaged somewhere, and somebody is going

604
00:30:50,800 --> 00:30:53,440
Speaker 2: to be advantaged, you know, like there's going to be

605
00:30:54,360 --> 00:30:55,800
Speaker 2: pros and cons for everyone.

606
00:30:56,080 --> 00:30:56,280
Speaker 1: Yeah.

607
00:30:56,440 --> 00:30:59,960
Speaker 2: I don't know where that starts and stops. And how

608
00:31:00,080 --> 00:31:02,000
Speaker 2: how the fuck do we regulate.

609
00:31:01,520 --> 00:31:02,200
Speaker 3: This stuff, mate?

610
00:31:02,280 --> 00:31:06,200
Speaker 2: I mean, it's like because it's such a slippery slope. Anyway,

611
00:31:06,840 --> 00:31:11,120
Speaker 2: tell me about Tesla owners that want to sue Tesla,

612
00:31:11,360 --> 00:31:14,880
Speaker 2: Like there's a joint class action over.

613
00:31:14,800 --> 00:31:16,600
Speaker 1: Full self driving? What is that about?

614
00:31:16,960 --> 00:31:22,600
Speaker 3: Yep? So, Tesla has this FSD package that people who

615
00:31:22,640 --> 00:31:25,720
Speaker 3: have bought recent test the model cars, and it's basically

616
00:31:25,840 --> 00:31:29,120
Speaker 3: FSD is full self driving. And we talked about it

617
00:31:29,160 --> 00:31:31,959
Speaker 3: a little bit in the last podcast about how you

618
00:31:32,000 --> 00:31:34,680
Speaker 3: can use this feature. And but you still need to

619
00:31:34,680 --> 00:31:36,360
Speaker 3: be sitting at the car, You still need to be

620
00:31:36,400 --> 00:31:38,040
Speaker 3: sitting in the front seat, you still need to be

621
00:31:38,400 --> 00:31:40,920
Speaker 3: hands ready to grab the steering wheel so that if

622
00:31:40,960 --> 00:31:43,920
Speaker 3: anything was to happen, and it does make mistakes, but

623
00:31:44,320 --> 00:31:46,840
Speaker 3: the problem is that a lot of people were sold

624
00:31:46,880 --> 00:31:49,520
Speaker 3: on this idea and we're going back a few years

625
00:31:49,520 --> 00:31:52,920
Speaker 3: ago when these new model cars were coming out where

626
00:31:52,920 --> 00:31:56,000
Speaker 3: they were promised the ability to have full self driving

627
00:31:56,040 --> 00:31:59,800
Speaker 3: and it hasn't been realized. So the issue is that

628
00:31:59,840 --> 00:32:02,240
Speaker 3: there's a lot of pressure where people are saying, well,

629
00:32:02,240 --> 00:32:05,840
Speaker 3: we paid for this advanced driver assistant feature, you know,

630
00:32:05,880 --> 00:32:09,600
Speaker 3: this autopilot, the full self driving, and it hasn't come through,

631
00:32:09,880 --> 00:32:13,160
Speaker 3: particularly in Australia. So in Australia there's this class action

632
00:32:13,240 --> 00:32:15,320
Speaker 3: where people are saying, well, we've paid for something we

633
00:32:15,360 --> 00:32:18,040
Speaker 3: didn't get, and that's the problem. You know, if you

634
00:32:18,080 --> 00:32:20,880
Speaker 3: were old on this idea with a feature that you

635
00:32:20,920 --> 00:32:24,800
Speaker 3: were promised that just hasn't been that and Elon Musk

636
00:32:24,880 --> 00:32:26,760
Speaker 3: was kind of saying, well, we can roll it back

637
00:32:26,840 --> 00:32:30,560
Speaker 3: using software, but now they've admitted that there are some cars,

638
00:32:30,600 --> 00:32:32,840
Speaker 3: some of the early Tesla models just don't have that

639
00:32:32,880 --> 00:32:36,000
Speaker 3: capability at all. So if you've paid for something you

640
00:32:36,040 --> 00:32:37,800
Speaker 3: think you've you know you've got to get and you

641
00:32:37,840 --> 00:32:40,800
Speaker 3: haven't got it, well, I think there's really good grounds

642
00:32:40,840 --> 00:32:43,560
Speaker 3: to be able to say, well, I'm sorry, I want

643
00:32:43,560 --> 00:32:46,880
Speaker 3: a refunder a partial refund, or you know, I get

644
00:32:46,960 --> 00:32:49,239
Speaker 3: that the people are pretty peeved off about it.

645
00:32:49,920 --> 00:32:53,400
Speaker 2: I reckon it's a little bit redundant the idea in

646
00:32:53,440 --> 00:32:57,920
Speaker 2: Australia in that like even if if the three of

647
00:32:58,000 --> 00:33:00,520
Speaker 2: us had full self driving cars, cars which have the

648
00:33:00,560 --> 00:33:04,520
Speaker 2: capacity where you can essentially theoretically sit in the passenger

649
00:33:04,560 --> 00:33:06,360
Speaker 2: seat program in the car and it gets you where

650
00:33:06,360 --> 00:33:09,320
Speaker 2: you want to go. Because I can't see the Australian

651
00:33:09,360 --> 00:33:12,600
Speaker 2: government giving this a green light anytime in the next decade,

652
00:33:12,680 --> 00:33:13,000
Speaker 2: can you.

653
00:33:14,680 --> 00:33:17,160
Speaker 3: I think maybe in the next decade, but at least

654
00:33:17,160 --> 00:33:20,560
Speaker 3: a decade. It's getting close. I mean it's getting really,

655
00:33:20,600 --> 00:33:23,440
Speaker 3: really really close. There's some really great technology and when

656
00:33:23,440 --> 00:33:25,520
Speaker 3: you think of it, I mean people tend to highlight

657
00:33:25,680 --> 00:33:27,080
Speaker 3: the accidents and the little.

658
00:33:26,840 --> 00:33:29,200
Speaker 4: Things that go wrong, but if you think of it

659
00:33:29,240 --> 00:33:30,320
Speaker 4: in terms.

660
00:33:29,960 --> 00:33:33,280
Speaker 3: Of a whole lot of self driving cars on the road,

661
00:33:33,600 --> 00:33:35,760
Speaker 3: their reaction time is always going to be a lot

662
00:33:35,760 --> 00:33:37,480
Speaker 3: better than human reaction time.

663
00:33:37,800 --> 00:33:39,720
Speaker 1: On one hundred percent.

664
00:33:39,840 --> 00:33:42,560
Speaker 2: It's not often we agree, but you say you had

665
00:33:42,600 --> 00:33:46,959
Speaker 2: a thousand self driving cars and a thousand Craig driving

666
00:33:47,080 --> 00:33:50,479
Speaker 2: cars over an extended period of time, right, And I'm

667
00:33:50,520 --> 00:33:52,880
Speaker 2: a pretty good driver. I think I've never actually had

668
00:33:52,920 --> 00:33:56,560
Speaker 2: an accident. But like a bunch of humans in control

669
00:33:56,760 --> 00:34:01,600
Speaker 2: or AI in control, I think statistically there's way less accidents.

670
00:34:01,640 --> 00:34:04,400
Speaker 2: That doesn't mean there can't be accidents, but I think

671
00:34:04,440 --> 00:34:08,160
Speaker 2: statistically and find the humans have more error than the computers.

672
00:34:08,440 --> 00:34:11,920
Speaker 3: Yeah, and also because we're subject to getting tired. You know,

673
00:34:12,239 --> 00:34:15,440
Speaker 3: I don't like to drive late at night purely because

674
00:34:15,440 --> 00:34:18,520
Speaker 3: my circadian rhythm is that I'm an early morning person

675
00:34:18,680 --> 00:34:21,360
Speaker 3: and I get tired at night. So I know that

676
00:34:21,520 --> 00:34:24,040
Speaker 3: I am a less effective driver at night than I

677
00:34:24,040 --> 00:34:26,520
Speaker 3: would be at five point thirty in the morning, when

678
00:34:26,560 --> 00:34:29,440
Speaker 3: I feel like I'm my most invigorated and wide awake.

679
00:34:29,960 --> 00:34:33,480
Speaker 3: And that's impact people. You know, emotional issues. If you've

680
00:34:33,520 --> 00:34:36,400
Speaker 3: just had an argument with someone and you're feeling angry,

681
00:34:36,440 --> 00:34:38,680
Speaker 3: well that's going to be reflected in what you're doing

682
00:34:38,719 --> 00:34:41,080
Speaker 3: behind the wheel. How much agro do you see on

683
00:34:41,120 --> 00:34:43,799
Speaker 3: the roads? I mean that's another thing as well. You know,

684
00:34:43,880 --> 00:34:46,200
Speaker 3: at this stage, I haven't seen a self driving car

685
00:34:46,880 --> 00:34:48,360
Speaker 3: experienced road rage.

686
00:34:48,960 --> 00:34:51,720
Speaker 2: Well, if you ever see tear for and road raging,

687
00:34:51,880 --> 00:34:52,920
Speaker 2: just give her a cookie.

688
00:34:53,000 --> 00:34:53,759
Speaker 1: It'll all be good.

689
00:34:53,760 --> 00:34:57,719
Speaker 2: In about thirty seconds, Patrick tell us about how drones

690
00:34:57,760 --> 00:35:00,880
Speaker 2: are being used to combat retail hail theft.

691
00:35:01,440 --> 00:35:04,759
Speaker 3: Yeah, isn't this interesting? So surveillance drones and this is

692
00:35:04,760 --> 00:35:07,800
Speaker 3: a big problem. So it hasn't been rolled out quite yet,

693
00:35:08,239 --> 00:35:12,880
Speaker 3: but the idea is that a lot of retailers are

694
00:35:12,880 --> 00:35:16,719
Speaker 3: struggling with an ever increasing amount of theft. And I

695
00:35:16,800 --> 00:35:19,719
Speaker 3: read a really interesting article a few days ago that

696
00:35:19,960 --> 00:35:24,239
Speaker 3: theft actually is generational, and some younger people feel it's

697
00:35:24,280 --> 00:35:28,239
Speaker 3: okay to steal. That they they don't have any sort

698
00:35:28,239 --> 00:35:31,520
Speaker 3: of guilt because they feel that a retailer that has

699
00:35:31,600 --> 00:35:35,359
Speaker 3: lots of money, if you flog something, it doesn't really matter.

700
00:35:35,480 --> 00:35:41,160
Speaker 3: And whereas Baby Boom does fucking terrible parenting. Seriously, if

701
00:35:41,200 --> 00:35:43,879
Speaker 3: you think stealing's cool, your parents are shit.

702
00:35:44,400 --> 00:35:46,680
Speaker 2: Well that's that's what came out a lot of young

703
00:35:46,800 --> 00:35:48,760
Speaker 2: I don't know. I shouldn't so I'll probably get in trouble.

704
00:35:48,760 --> 00:35:52,520
Speaker 2: But I'm like, oh my god, what child thinks stealing's fine?

705
00:35:52,680 --> 00:35:54,759
Speaker 2: Feels generational? There's a look.

706
00:35:54,800 --> 00:35:59,120
Speaker 3: I can't quite it say. I don't know that's what

707
00:35:59,160 --> 00:36:01,239
Speaker 3: the article said. I'm not saying yay or a but

708
00:36:01,520 --> 00:36:04,880
Speaker 3: in this instance, right, So what do you think of it.

709
00:36:04,920 --> 00:36:08,279
Speaker 3: I mean, I guess if you are able to have

710
00:36:08,440 --> 00:36:11,799
Speaker 3: these drones that could follow a car or follow a

711
00:36:11,800 --> 00:36:16,279
Speaker 3: person once they stole from a retailer and track them down,

712
00:36:16,360 --> 00:36:20,000
Speaker 3: notify police and say, yeah, we're tracking this person because

713
00:36:20,080 --> 00:36:22,719
Speaker 3: they're suspected of theft. Because of course it's suspected of

714
00:36:22,800 --> 00:36:26,359
Speaker 3: theft until proven. I don't know, what do you reckon about, Tiff,

715
00:36:26,400 --> 00:36:28,040
Speaker 3: What are you reckon aut a drone? You walk out

716
00:36:28,040 --> 00:36:30,320
Speaker 3: of a department store, You just walked out of Meyer

717
00:36:30,600 --> 00:36:32,759
Speaker 3: and suddenly there's a buzzing above you because you look

718
00:36:32,800 --> 00:36:35,160
Speaker 3: a bit sus probably fair.

719
00:36:35,000 --> 00:36:39,120
Speaker 5: Col Yeah, cool, you're on surveillance when you're in there.

720
00:36:40,120 --> 00:36:41,960
Speaker 5: If you've done something wrong, so be it.

721
00:36:42,560 --> 00:36:44,600
Speaker 1: Are you going to have You have a stolen anything? Patrick?

722
00:36:45,239 --> 00:36:47,480
Speaker 3: Have I ever stolen it? No? I haven't stolen anything,

723
00:36:47,520 --> 00:36:51,640
Speaker 3: but I did I did knowingly someone I knew that

724
00:36:51,719 --> 00:36:54,319
Speaker 3: an item was placed at a lower price than what

725
00:36:54,360 --> 00:36:56,719
Speaker 3: it was. So there was a toy truck and I

726
00:36:56,800 --> 00:36:59,719
Speaker 3: might have been twelve or thirteen, and all of our

727
00:37:00,120 --> 00:37:04,920
Speaker 3: forty six, all the other trucks were I will say

728
00:37:04,920 --> 00:37:07,319
Speaker 3: it was five bucks, but this one had like two

729
00:37:07,360 --> 00:37:09,839
Speaker 3: dollars on it or something, and I knowingly took it

730
00:37:09,840 --> 00:37:12,000
Speaker 3: to the register and bought it knowing that the price

731
00:37:12,120 --> 00:37:16,000
Speaker 3: was wrong. Is that stealing? And I didn't change the ticket.

732
00:37:16,080 --> 00:37:17,800
Speaker 3: It wasn't me. I didn't take the sticker off and

733
00:37:17,840 --> 00:37:19,040
Speaker 3: put a cheap sticker on it.

734
00:37:19,040 --> 00:37:23,359
Speaker 2: It's technically not, I guess, but it's but that's like, well,

735
00:37:23,480 --> 00:37:26,839
Speaker 2: can I tell you I almost stole you still?

736
00:37:29,040 --> 00:37:29,360
Speaker 3: Oh?

737
00:37:29,440 --> 00:37:29,640
Speaker 5: Yeah?

738
00:37:29,800 --> 00:37:30,000
Speaker 1: No.

739
00:37:30,719 --> 00:37:32,799
Speaker 2: I used to have a friend who used to pinch

740
00:37:32,800 --> 00:37:34,640
Speaker 2: stuff when I was a kid, and I'm like, I

741
00:37:34,680 --> 00:37:38,319
Speaker 2: didn't get it, and he's like, just take We went,

742
00:37:38,440 --> 00:37:40,359
Speaker 2: I don't know where we were, and I was going

743
00:37:40,440 --> 00:37:43,840
Speaker 2: to steal a packet of juicy fruit, right this is

744
00:37:43,880 --> 00:37:47,920
Speaker 2: my big debut into fucking theft and crime. And he's like,

745
00:37:48,040 --> 00:37:50,560
Speaker 2: just put it in your pocket, like da data, And

746
00:37:50,600 --> 00:37:53,200
Speaker 2: I'm like, I really didn't want to, but I wanted

747
00:37:53,280 --> 00:37:55,080
Speaker 2: him to like me because I thought he was cool.

748
00:37:55,120 --> 00:37:56,920
Speaker 2: I don't know what the fuck. So anyway, I get

749
00:37:56,920 --> 00:37:59,120
Speaker 2: this packet of juicy fruit. I put it in my pocket.

750
00:37:59,160 --> 00:38:03,399
Speaker 2: This is my big into the world of criminality. And

751
00:38:04,280 --> 00:38:06,960
Speaker 2: I get like two meters from the and I can't.

752
00:38:07,040 --> 00:38:09,080
Speaker 2: I just walk back and I'm like, nah, I can't,

753
00:38:09,120 --> 00:38:11,440
Speaker 2: and I just put it back on the thing, and

754
00:38:11,480 --> 00:38:15,520
Speaker 2: I felt fucking terrible for like two days, even at

755
00:38:15,520 --> 00:38:17,680
Speaker 2: the thought that I was going to steal something and

756
00:38:17,719 --> 00:38:20,200
Speaker 2: I put it in my pocket. Even though I took

757
00:38:20,280 --> 00:38:25,040
Speaker 2: I was like ten, right, so or eleven. Mary Harper

758
00:38:25,160 --> 00:38:28,399
Speaker 2: will have a fucking she'll be praying for me all

759
00:38:28,480 --> 00:38:29,520
Speaker 2: day today.

760
00:38:29,360 --> 00:38:33,120
Speaker 1: If she hears this. But yeah, so that was my Yeah,

761
00:38:33,120 --> 00:38:33,839
Speaker 1: I can't do it.

762
00:38:34,040 --> 00:38:36,799
Speaker 4: I just gilt, make Catholic guilt that upbringing. That's what

763
00:38:36,880 --> 00:38:37,160
Speaker 4: did it.

764
00:38:37,239 --> 00:38:37,680
Speaker 3: I reckon.

765
00:38:37,760 --> 00:38:40,120
Speaker 1: Well, maybe it's just an internal moral compass.

766
00:38:40,480 --> 00:38:42,920
Speaker 3: Maybe can I just say that Tiff had a spatter

767
00:38:43,000 --> 00:38:44,720
Speaker 3: in her pocket and you had juicy fruit.

768
00:38:47,160 --> 00:38:50,040
Speaker 2: I don't know what that's the Can you tell us

769
00:38:50,040 --> 00:38:56,120
Speaker 2: about why the two year ago school phone bands are

770
00:38:56,200 --> 00:38:58,920
Speaker 2: either working or not working? So two years ago phones

771
00:38:58,960 --> 00:39:01,120
Speaker 2: were banned in school in Australia.

772
00:39:01,239 --> 00:39:03,440
Speaker 1: Did that happen? Is it working or not?

773
00:39:04,080 --> 00:39:08,120
Speaker 3: It started off in Victoria, which was great and according

774
00:39:08,160 --> 00:39:12,520
Speaker 3: to principles and teachers, I mean a lot of politicians

775
00:39:12,520 --> 00:39:15,399
Speaker 3: and parents believe this was the way to go. And

776
00:39:15,480 --> 00:39:20,120
Speaker 3: now after two years there's some real clear statistics that

777
00:39:20,160 --> 00:39:23,000
Speaker 3: have come out and they're saying teachers are saying since

778
00:39:23,040 --> 00:39:27,600
Speaker 3: the band they've seen stronger, lesson starts, fewer interruptions, are

779
00:39:27,640 --> 00:39:31,520
Speaker 3: better flow in teaching. And the other thing is device

780
00:39:31,600 --> 00:39:34,520
Speaker 3: driven conflict. Evidently there was I don't know whether it

781
00:39:34,560 --> 00:39:36,919
Speaker 3: was myophon's better than your pixel phone. I'm not sure

782
00:39:36,920 --> 00:39:40,560
Speaker 3: about that device driven conflict. That maybe just social media taunting,

783
00:39:40,600 --> 00:39:45,120
Speaker 3: who knows, but that's fallen as well across recesses and lunches,

784
00:39:45,200 --> 00:39:48,400
Speaker 3: and children are engaging more. So what it means is

785
00:39:48,440 --> 00:39:51,239
Speaker 3: that because they're not sitting in the schoolyard looking at

786
00:39:51,239 --> 00:39:54,560
Speaker 3: a phone, than enforced to actually interact with other students.

787
00:39:54,840 --> 00:39:58,200
Speaker 3: So resoundingly, and this was the survey of a thousand

788
00:39:58,239 --> 00:40:01,240
Speaker 3: public school principles. This is in the New South Wales

789
00:40:01,280 --> 00:40:05,319
Speaker 3: Department of Education. They basically said that ninety five percent

790
00:40:05,360 --> 00:40:09,640
Speaker 3: of principles still supported the ban, and that eighty one

791
00:40:09,680 --> 00:40:13,520
Speaker 3: percent said the band had improved student learning and eighty

792
00:40:13,600 --> 00:40:17,880
Speaker 3: six said had improved socialization among students. So I reckon,

793
00:40:17,880 --> 00:40:21,160
Speaker 3: that's a big tick of approval, and you almost wonder

794
00:40:21,360 --> 00:40:24,120
Speaker 3: whether that should happen in the workplace. You know, I

795
00:40:24,160 --> 00:40:27,839
Speaker 3: had a new staff member begin with me yesterday and

796
00:40:28,280 --> 00:40:30,640
Speaker 3: I know she was trying really hard on her first day,

797
00:40:30,719 --> 00:40:33,520
Speaker 3: but her phone was pinging a few times, and you

798
00:40:33,719 --> 00:40:39,120
Speaker 3: just saw that sudden attention totally disappear. And then even

799
00:40:39,160 --> 00:40:41,120
Speaker 3: though she wasn't reaching for her phone, it was the

800
00:40:41,239 --> 00:40:44,200
Speaker 3: ding on the phone. And that's the I guess the

801
00:40:44,960 --> 00:40:47,719
Speaker 3: You know, there are notifications for a reason because it's

802
00:40:47,920 --> 00:40:50,240
Speaker 3: drawing your attention to the fact that there's something popping

803
00:40:50,320 --> 00:40:51,160
Speaker 3: up on your phone.

804
00:40:51,320 --> 00:40:53,160
Speaker 4: But it is so distracting, isn't it.

805
00:40:53,360 --> 00:40:56,440
Speaker 3: When the phone is on silent all the time, it

806
00:40:56,480 --> 00:40:58,759
Speaker 3: never pings, never makes a sound. And in fact, when

807
00:40:58,760 --> 00:41:00,400
Speaker 3: I go to a meeting, there's a really cool feature

808
00:41:00,400 --> 00:41:01,960
Speaker 3: on a phone where if you put a face down,

809
00:41:02,239 --> 00:41:04,440
Speaker 3: it goes into do not disturb mode. So it's a

810
00:41:04,480 --> 00:41:06,840
Speaker 3: really great way when you're sitting down with someone. I

811
00:41:06,880 --> 00:41:09,040
Speaker 3: find it's an etiquette thing for me. I place my

812
00:41:09,080 --> 00:41:11,000
Speaker 3: phone face down and it says to the other person,

813
00:41:11,760 --> 00:41:14,239
Speaker 3: you've got my attention, my phone is not going to

814
00:41:14,239 --> 00:41:16,239
Speaker 3: disturb us. And I like doing that when I go

815
00:41:16,280 --> 00:41:18,839
Speaker 3: into a meeting or catching up with someone.

816
00:41:20,600 --> 00:41:22,399
Speaker 1: I've got a little bit of news for you. This

817
00:41:22,480 --> 00:41:24,200
Speaker 1: is kind of pseudo news.

818
00:41:24,239 --> 00:41:28,520
Speaker 2: I don't have all the data, but interestingly, well, I

819
00:41:28,560 --> 00:41:30,680
Speaker 2: mean this is in my space, in your space. So

820
00:41:30,800 --> 00:41:34,239
Speaker 2: one of the things that's been of or been an

821
00:41:34,239 --> 00:41:36,600
Speaker 2: issue over the last year or two, and especially more

822
00:41:36,680 --> 00:41:40,600
Speaker 2: right now than ever, is the use of AI at universities,

823
00:41:40,800 --> 00:41:46,560
Speaker 2: right because students are using AI to cheat essentially, I

824
00:41:46,600 --> 00:41:50,480
Speaker 2: mean we can, and the universities a little bit have

825
00:41:51,320 --> 00:41:54,440
Speaker 2: put their hands in there and gone where fucked like,

826
00:41:54,600 --> 00:41:58,040
Speaker 2: because you can't combat it, because the AI is so

827
00:41:58,120 --> 00:42:01,040
Speaker 2: good that it can trick the know. There are programs

828
00:42:01,080 --> 00:42:05,200
Speaker 2: that kind of oh what's it called. I think it's

829
00:42:05,200 --> 00:42:09,920
Speaker 2: called turn it in, where they can run your paper

830
00:42:10,000 --> 00:42:12,359
Speaker 2: through this program to see how much of it's been

831
00:42:12,400 --> 00:42:14,920
Speaker 2: plagiarized or cut and pasted or cheated or blah blah

832
00:42:14,920 --> 00:42:18,160
Speaker 2: blah blah blah. But now what a lot of the

833
00:42:18,239 --> 00:42:20,880
Speaker 2: universities are doing. They're going, all right, well, AI is

834
00:42:21,000 --> 00:42:23,680
Speaker 2: not going away. CHAT, GPT and the like are not

835
00:42:23,800 --> 00:42:27,440
Speaker 2: going away. How do we integrate it into the programs

836
00:42:27,480 --> 00:42:31,520
Speaker 2: and the courses so that it's something of a level

837
00:42:31,640 --> 00:42:35,120
Speaker 2: playing field. But at the same time, the students are

838
00:42:35,160 --> 00:42:41,319
Speaker 2: still actually thinking and solving problems and doing work and

839
00:42:41,400 --> 00:42:45,200
Speaker 2: learning because the whole idea that, oh, we're just not

840
00:42:45,280 --> 00:42:49,000
Speaker 2: going to let them use AI is just not an

841
00:42:49,000 --> 00:42:52,000
Speaker 2: option anymore because it's gone beyond that. So it'll be

842
00:42:52,040 --> 00:42:57,959
Speaker 2: interesting to see in academia over the next two, five,

843
00:42:58,120 --> 00:43:01,640
Speaker 2: ten years what happens. Because the truth is now that

844
00:43:01,719 --> 00:43:05,960
Speaker 2: people can produce an academic paper or a paper that

845
00:43:06,040 --> 00:43:10,000
Speaker 2: looks like an academic paper in two hours that would

846
00:43:10,040 --> 00:43:13,799
Speaker 2: have taken someone six months, you know, because it can

847
00:43:13,880 --> 00:43:16,759
Speaker 2: research for you, it can do citations for you, it

848
00:43:16,800 --> 00:43:19,560
Speaker 2: can reference for you, it can lay it all out

849
00:43:19,600 --> 00:43:24,760
Speaker 2: for you. It's bloody. It's quite disconcerting for somebody who's

850
00:43:24,880 --> 00:43:28,920
Speaker 2: just spent six years doing their PhD and has nearly finished.

851
00:43:29,800 --> 00:43:31,120
Speaker 3: I don't know. Do you lock people up in a

852
00:43:31,160 --> 00:43:33,400
Speaker 3: room with a fountain pen and make them write stuff?

853
00:43:34,120 --> 00:43:35,799
Speaker 3: It's a hard one. I don't think there's a really

854
00:43:35,800 --> 00:43:38,040
Speaker 3: good answer. I think that the logical way is what

855
00:43:38,080 --> 00:43:40,719
Speaker 3: they're doing is try to integrate it and say these

856
00:43:40,760 --> 00:43:42,880
Speaker 3: are the AI tools that you're allowed to use. And

857
00:43:44,920 --> 00:43:46,440
Speaker 3: as you pointed out, and I think you said it

858
00:43:46,440 --> 00:43:48,960
Speaker 3: earlier in the show too, that it's getting harder and

859
00:43:49,000 --> 00:43:51,920
Speaker 3: harder and harder to pick what is AI generated, and

860
00:43:51,960 --> 00:43:56,279
Speaker 3: that's just making life were you're second guessing everything I'm doing.

861
00:43:56,520 --> 00:43:58,759
Speaker 3: I don't use social media, but I was on there

862
00:43:58,840 --> 00:44:02,960
Speaker 3: recently setting up something for a client, and this clip

863
00:44:03,040 --> 00:44:06,560
Speaker 3: popped up of a woman in a chicken like it

864
00:44:06,640 --> 00:44:08,879
Speaker 3: was like a KFC store or something. She was quite

865
00:44:08,920 --> 00:44:11,360
Speaker 3: a large looking lady and she went to the counter

866
00:44:11,440 --> 00:44:14,560
Speaker 3: to order the food and then the floor collapsed underneath

867
00:44:14,560 --> 00:44:17,120
Speaker 3: it because she was so large and it was AI.

868
00:44:17,360 --> 00:44:21,520
Speaker 3: But before that happened, it looked so real. It looked

869
00:44:21,520 --> 00:44:23,359
Speaker 3: so real. I'm thinking, what is this picture? Why am

870
00:44:23,360 --> 00:44:25,840
Speaker 3: I getting this video served up? And it was just

871
00:44:25,960 --> 00:44:30,000
Speaker 3: this piece of AI slop. But the problem is that

872
00:44:30,040 --> 00:44:32,680
Speaker 3: it was so realistic. I didn't pick it until, of

873
00:44:32,719 --> 00:44:34,719
Speaker 3: course the floor collapsed and she fell into it, and

874
00:44:34,760 --> 00:44:37,040
Speaker 3: even then it looked amazingly real.

875
00:44:37,400 --> 00:44:39,920
Speaker 4: But you knew it that it was so unfeasible.

876
00:44:39,960 --> 00:44:42,880
Speaker 3: It was just ridiculous, But at that point you didn't

877
00:44:42,920 --> 00:44:47,360
Speaker 3: realize it was something that was just AI, totally AI created.

878
00:44:47,920 --> 00:44:50,400
Speaker 2: Well, I'm a little bit disappointed in you because I

879
00:44:50,400 --> 00:44:51,880
Speaker 2: didn't want to tell you this till the end of

880
00:44:51,880 --> 00:44:54,880
Speaker 2: the show. But I'm actually in the city this morning

881
00:44:54,960 --> 00:44:59,000
Speaker 2: doing a presentation, so you've been chatting with AI Craig

882
00:44:59,160 --> 00:45:01,719
Speaker 2: all morning and you didn't even pick it.

883
00:45:01,719 --> 00:45:05,960
Speaker 3: It's so stupid. It's dumb thing. It is so accurate,

884
00:45:05,960 --> 00:45:06,839
Speaker 3: isn't it, Tiff, what.

885
00:45:06,800 --> 00:45:08,640
Speaker 1: Are your Yeah?

886
00:45:08,760 --> 00:45:12,440
Speaker 2: Yeah, and how real does the huge nose look? Yeah, well,

887
00:45:12,440 --> 00:45:13,759
Speaker 2: that's hurtful both of you.

888
00:45:14,560 --> 00:45:16,759
Speaker 4: I'm going into the city today too, Craigo.

889
00:45:16,520 --> 00:45:20,839
Speaker 2: I'm actually in there right now doing a gig. Tell

890
00:45:20,880 --> 00:45:24,640
Speaker 2: me what the pope has just pooh poohed. I feel

891
00:45:24,719 --> 00:45:27,640
Speaker 2: like I'm so glad you could weave something Catholic into

892
00:45:27,719 --> 00:45:29,160
Speaker 2: our technology discussion.

893
00:45:29,440 --> 00:45:32,640
Speaker 3: Look, I think that's important for you as a well. Actually,

894
00:45:32,640 --> 00:45:34,160
Speaker 3: and me now that I think of it, because I

895
00:45:34,239 --> 00:45:37,200
Speaker 3: tried to get excommunicated from the church. I actually wrote

896
00:45:37,280 --> 00:45:41,360
Speaker 3: a letter in Penn in Fountain, pen to the Archbishop

897
00:45:41,360 --> 00:45:44,120
Speaker 3: of Melbourne, but he ignored me. I was very disappointed.

898
00:45:44,280 --> 00:45:46,759
Speaker 3: I'm still reeling from that to not another letter.

899
00:45:46,760 --> 00:45:48,319
Speaker 2: I don't think you know, I think you can just

900
00:45:48,360 --> 00:45:49,840
Speaker 2: go I'm not on the team anymore.

901
00:45:49,840 --> 00:45:50,399
Speaker 1: See you later.

902
00:45:50,760 --> 00:45:51,959
Speaker 4: Yeah, but now you've got.

903
00:45:51,880 --> 00:45:53,560
Speaker 3: To get the letter. You've got to get the official

904
00:45:53,640 --> 00:45:55,840
Speaker 3: letter of excommunication, which a lot of Catholics out there

905
00:45:55,880 --> 00:45:58,080
Speaker 3: are reeling about because it's a real bad thing to

906
00:45:58,120 --> 00:46:01,120
Speaker 3: get excommunicated from the church. But I did actually actively

907
00:46:01,200 --> 00:46:04,840
Speaker 3: try to because I feel that when they do a census,

908
00:46:04,920 --> 00:46:08,200
Speaker 3: I wanted all my parish records to be expunged, so

909
00:46:08,239 --> 00:46:10,239
Speaker 3: they can't count me as a Catholic because they tend

910
00:46:10,239 --> 00:46:11,960
Speaker 3: to like to do that and say we've got these

911
00:46:12,000 --> 00:46:14,360
Speaker 3: many Catholics in Australia. It's like, yeah, but I didn't

912
00:46:14,560 --> 00:46:17,200
Speaker 3: vote to be here, so I'd like not to be

913
00:46:17,280 --> 00:46:20,400
Speaker 3: in the group. I love my friends who are Catholics,

914
00:46:20,440 --> 00:46:22,759
Speaker 3: but I just don't want to be one anyway. Sorry,

915
00:46:22,920 --> 00:46:24,480
Speaker 3: we were talking about the pope went' we that took

916
00:46:24,520 --> 00:46:26,719
Speaker 3: me down.

917
00:46:26,680 --> 00:46:32,840
Speaker 2: Talk about deer in the headlights, talk about dog with

918
00:46:32,960 --> 00:46:33,640
Speaker 2: three dicks?

919
00:46:33,920 --> 00:46:36,360
Speaker 1: What concentrate? What adhd.

920
00:46:38,400 --> 00:46:41,040
Speaker 3: Oh dear? Anyway? So the Pope, so yeah, the popes

921
00:46:41,040 --> 00:46:44,920
Speaker 3: come out and said he's condemned This is very specific.

922
00:46:44,960 --> 00:46:51,600
Speaker 3: He's condemned clickbait, right, like the Pope, right, the head

923
00:46:51,600 --> 00:46:54,799
Speaker 3: of the Catholic Church, you know, el Papa, Pope Leo,

924
00:46:55,200 --> 00:46:57,759
Speaker 3: That Pope Leo the fourteenth is it? I think it's

925
00:46:57,760 --> 00:47:00,560
Speaker 3: the fourteenth. I'm discounting now. I'm pretty sure he's fourteenth.

926
00:47:00,600 --> 00:47:03,600
Speaker 3: Someone's going to correct me. So he's condemned clickbait, saying

927
00:47:03,640 --> 00:47:07,200
Speaker 3: that it's great, it's a degrading part of journalism. So

928
00:47:07,239 --> 00:47:10,080
Speaker 3: he had journalists there. He was giving a talk to

929
00:47:10,160 --> 00:47:13,239
Speaker 3: journalists including some Australian journalists and he's patting them on

930
00:47:13,280 --> 00:47:14,719
Speaker 3: the back and then he gives them a whack over

931
00:47:14,719 --> 00:47:17,760
Speaker 3: the back of their head. And this well metaphorically because

932
00:47:17,800 --> 00:47:22,160
Speaker 3: he says that clickbait is degrading. He said that. You know,

933
00:47:22,200 --> 00:47:25,960
Speaker 3: he's a proactive supporter of journalism, but he feels that

934
00:47:26,000 --> 00:47:29,799
Speaker 3: communication needs to be freed from the misguided thinking that

935
00:47:29,960 --> 00:47:33,640
Speaker 3: corrupts it, from unfair competition and the degrading practice of

936
00:47:33,760 --> 00:47:39,359
Speaker 3: so called clickbait. So he says, clickbait is sensationalist. It's

937
00:47:39,440 --> 00:47:43,400
Speaker 3: hyperbolic headline that entices online readers to click into a

938
00:47:43,480 --> 00:47:48,160
Speaker 3: story by admit omitting key information. That's it. That's the Pope.

939
00:47:48,760 --> 00:47:49,280
Speaker 1: Exactly.

940
00:47:49,560 --> 00:47:52,400
Speaker 2: He's exactly right, and it's not going away, Pope. So,

941
00:47:52,840 --> 00:47:56,239
Speaker 2: I mean, exactly you just described and that's not going

942
00:47:56,320 --> 00:47:59,880
Speaker 2: to stop. I mean, also, why have we had fourteen

943
00:48:00,040 --> 00:48:02,719
Speaker 2: hope leos? Are not one Pope Darren or Scott or

944
00:48:02,760 --> 00:48:07,800
Speaker 2: Brian or one scot Pope Patrick. I wonder if Patrick

945
00:48:07,840 --> 00:48:10,040
Speaker 2: does almost sound Papal does it.

946
00:48:10,040 --> 00:48:11,200
Speaker 3: It's kind of a wonderful.

947
00:48:11,600 --> 00:48:14,720
Speaker 2: It sounds it's quite catholic. Let's do let's do another

948
00:48:14,760 --> 00:48:20,040
Speaker 2: one or two. Let's talk about Ozzie's having their data

949
00:48:20,120 --> 00:48:24,200
Speaker 2: stolen and like, how that's happening.

950
00:48:24,880 --> 00:48:28,719
Speaker 3: Yeah, it is typically a real problem. So in Australia

951
00:48:28,760 --> 00:48:32,400
Speaker 3: we have a thing called the Australian Signals Directorate. Okay,

952
00:48:32,680 --> 00:48:36,319
Speaker 3: it sounds pretty kind of pretty full on, doesn't it really.

953
00:48:36,400 --> 00:48:39,080
Speaker 3: I think it's a great name anyway. So last year

954
00:48:39,200 --> 00:48:43,560
Speaker 3: individual victims of cybercrime lost on average thirty three thousand dollars,

955
00:48:43,719 --> 00:48:47,000
Speaker 3: a big increase, an eight percent increase. And the problem

956
00:48:47,120 --> 00:48:51,200
Speaker 3: is that this kind of body that looks into this stuff,

957
00:48:51,400 --> 00:48:54,560
Speaker 3: the Signals director it is saying what we need to

958
00:48:54,600 --> 00:48:58,880
Speaker 3: do is make sure people aren't just using usernames and passwords,

959
00:48:58,880 --> 00:49:01,920
Speaker 3: that it's become redundant, that this is one of the

960
00:49:01,920 --> 00:49:07,719
Speaker 3: big problems this. Abigail Bradshaw is the ASD Director of

961
00:49:07,800 --> 00:49:10,759
Speaker 3: the Dead Director General, and she was speaking on SBS

962
00:49:11,280 --> 00:49:14,560
Speaker 3: and she basically said, we've got to move away from passwords.

963
00:49:14,600 --> 00:49:18,359
Speaker 3: We need multi factor authentication because that's how a lot

964
00:49:18,360 --> 00:49:22,040
Speaker 3: of people so it's being scammed. So the thing is

965
00:49:22,560 --> 00:49:26,600
Speaker 3: it's now not hackers that are hacking in. It's really

966
00:49:26,680 --> 00:49:31,080
Speaker 3: clever people fooling people into getting their usernames and passwords

967
00:49:31,440 --> 00:49:35,360
Speaker 3: so they're not hacking into corporations. They're calling and I

968
00:49:35,440 --> 00:49:38,160
Speaker 3: think the Quantus Data League recently, because of course this

969
00:49:38,200 --> 00:49:41,640
Speaker 3: is massive, eight million Quantus customers, all them, you know,

970
00:49:41,680 --> 00:49:45,279
Speaker 3: because this played out about a week ago where there

971
00:49:45,320 --> 00:49:49,120
Speaker 3: was a hack into a system I think with sales

972
00:49:49,160 --> 00:49:51,360
Speaker 3: Force was the program that had all the data in it,

973
00:49:51,680 --> 00:49:55,719
Speaker 3: and someone called a call center overseas and convinced them

974
00:49:55,760 --> 00:49:58,960
Speaker 3: that they were a technician and needed access, and that's

975
00:49:59,000 --> 00:50:00,920
Speaker 3: how the hackers got into the didn't actually hack in,

976
00:50:01,200 --> 00:50:04,120
Speaker 3: they sweet talk their way in and they managed to

977
00:50:04,120 --> 00:50:06,560
Speaker 3: then get access to all this data. They tried to

978
00:50:07,840 --> 00:50:10,560
Speaker 3: extort the money from Quantus, saying, if you don't give

979
00:50:10,640 --> 00:50:13,359
Speaker 3: us x amount of dollars, we're going to release this

980
00:50:13,560 --> 00:50:17,040
Speaker 3: information on the dark web. Quantus like the right thing

981
00:50:17,160 --> 00:50:19,960
Speaker 3: to do, and that's the problem because governments are saying,

982
00:50:20,280 --> 00:50:24,080
Speaker 3: don't let don't give money to hackers, don't give people

983
00:50:24,080 --> 00:50:27,120
Speaker 3: the money people are extorting money, extorting the money. Don't

984
00:50:27,120 --> 00:50:29,600
Speaker 3: give it to them because just encourages them. So then

985
00:50:29,880 --> 00:50:32,840
Speaker 3: they released this information on the dark web and potentially,

986
00:50:32,920 --> 00:50:36,520
Speaker 3: now if you're a Quantus, you know, if you're part

987
00:50:36,560 --> 00:50:39,560
Speaker 3: of the Quantus database, then potentially you're user name, your

988
00:50:39,560 --> 00:50:43,759
Speaker 3: pass word, your address, information related to you for identity

989
00:50:43,840 --> 00:50:46,080
Speaker 3: theft is now out in the real space and this

990
00:50:46,160 --> 00:50:48,799
Speaker 3: is the big concern for the Signals Directorate that this

991
00:50:48,960 --> 00:50:51,279
Speaker 3: is now one of the most common ways. When I

992
00:50:51,320 --> 00:50:54,440
Speaker 3: log into my bank account, I have a secret code

993
00:50:54,440 --> 00:50:57,320
Speaker 3: that gets sent to my phone and that's multi factoring

994
00:50:57,360 --> 00:51:02,120
Speaker 3: for authentication. And so really if you are and even

995
00:51:02,160 --> 00:51:04,520
Speaker 3: our websites, when we do a website for a client,

996
00:51:04,960 --> 00:51:08,480
Speaker 3: we give them multi factor authentication to log into their sites.

997
00:51:08,960 --> 00:51:13,000
Speaker 3: So I guess as consumers we need to be insisting

998
00:51:13,440 --> 00:51:16,080
Speaker 3: to whatever service we use, whether we're logging into a

999
00:51:16,120 --> 00:51:20,080
Speaker 3: website and putting out credit card information because we want

1000
00:51:20,080 --> 00:51:23,400
Speaker 3: to buy something, we need to push that and say,

1001
00:51:23,560 --> 00:51:26,239
Speaker 3: well wait a minute, if you don't have multi factor authentication,

1002
00:51:27,080 --> 00:51:29,080
Speaker 3: I'm not going to give you my details. So there

1003
00:51:29,120 --> 00:51:31,880
Speaker 3: should be more pressure in that sense, and we should

1004
00:51:31,960 --> 00:51:35,920
Speaker 3: be more discerning about what we do online based on

1005
00:51:35,960 --> 00:51:38,000
Speaker 3: the secure level of security. And if it's just to

1006
00:51:38,080 --> 00:51:40,480
Speaker 3: use an over password, then maybe that's just not good

1007
00:51:40,560 --> 00:51:41,760
Speaker 3: enough in this day and age.

1008
00:51:42,960 --> 00:51:46,960
Speaker 2: Love it last one, last one. So Elon Musk people

1009
00:51:47,080 --> 00:51:50,400
Speaker 2: know created a thing quite a while ago now called neurallink,

1010
00:51:50,440 --> 00:51:53,399
Speaker 2: which is essentially an implant. It's a brain chip, goes

1011
00:51:53,440 --> 00:51:57,080
Speaker 2: inside your skull sits on just on the surface of

1012
00:51:57,120 --> 00:52:01,200
Speaker 2: your brain, which is my understanding. Ascent gives your brain

1013
00:52:01,400 --> 00:52:04,719
Speaker 2: access to the Internet, which is so you can you

1014
00:52:04,760 --> 00:52:10,680
Speaker 2: can google shit inside your head, Patrick if Well. And

1015
00:52:10,719 --> 00:52:13,480
Speaker 2: the story is that ten thousand people have signed up

1016
00:52:13,480 --> 00:52:17,160
Speaker 2: for this, which is mind blowing because who the fuck

1017
00:52:17,239 --> 00:52:21,280
Speaker 2: knows what's going to happen. I'm just putting something foreign.

1018
00:52:21,840 --> 00:52:26,160
Speaker 2: Putting something that's made of hardware in your brain unless

1019
00:52:26,360 --> 00:52:29,359
Speaker 2: you really need it to me, is fraught with danger.

1020
00:52:29,440 --> 00:52:32,520
Speaker 2: But let's say there was no danger and it was

1021
00:52:32,560 --> 00:52:33,600
Speaker 2: one hundred percent safe.

1022
00:52:33,640 --> 00:52:34,279
Speaker 1: Would you do it?

1023
00:52:34,320 --> 00:52:36,680
Speaker 3: Patrick, I'm going to roll it back one. I'm going

1024
00:52:36,760 --> 00:52:39,840
Speaker 3: to say right now as it is, including the danger

1025
00:52:40,040 --> 00:52:43,360
Speaker 3: if I had murder your own disease, and I was

1026
00:52:43,400 --> 00:52:45,520
Speaker 3: trapped in my own body and not able to move,

1027
00:52:45,680 --> 00:52:48,279
Speaker 3: having experienced that with a very dear friend of mine

1028
00:52:48,280 --> 00:52:51,239
Speaker 3: who passed away a few years back, three years ago,

1029
00:52:51,320 --> 00:52:55,280
Speaker 3: from your own disease, where you basically lose all control

1030
00:52:55,320 --> 00:52:59,280
Speaker 3: of your body, speak, movement, all that sort of stuff.

1031
00:52:59,320 --> 00:53:02,319
Speaker 3: I would jump with anything it take off the back

1032
00:53:02,360 --> 00:53:04,840
Speaker 3: of my head and plug in a computer. So I

1033
00:53:04,840 --> 00:53:07,680
Speaker 3: think it's a circumstantial thing. If I knew I only

1034
00:53:07,719 --> 00:53:09,920
Speaker 3: had six months left to live and I was trapped

1035
00:53:09,960 --> 00:53:12,200
Speaker 3: in my own body, I would be plugging in as

1036
00:53:12,200 --> 00:53:15,040
Speaker 3: many things into my head as possible, if that meant

1037
00:53:15,040 --> 00:53:17,239
Speaker 3: I could at least have some way to interact with

1038
00:53:17,280 --> 00:53:19,080
Speaker 3: the world. So I think it's circumstantial.

1039
00:53:20,960 --> 00:53:23,319
Speaker 1: And back to my question, Patrick, would you do it?

1040
00:53:23,560 --> 00:53:26,160
Speaker 2: And you don't have mode in you're on, you have

1041
00:53:26,200 --> 00:53:29,439
Speaker 2: an ability to not answer my fucking question and tell

1042
00:53:29,480 --> 00:53:32,440
Speaker 2: a story about just yes or no.

1043
00:53:32,440 --> 00:53:32,600
Speaker 5: No.

1044
00:53:32,680 --> 00:53:34,040
Speaker 4: It's not a use or no answer.

1045
00:53:34,200 --> 00:53:35,080
Speaker 1: I think it's a yes.

1046
00:53:35,080 --> 00:53:39,160
Speaker 2: It is like right now, as you are now, as

1047
00:53:39,239 --> 00:53:42,000
Speaker 2: you are now, if it was safe.

1048
00:53:41,680 --> 00:53:42,520
Speaker 1: Would you do it?

1049
00:53:42,960 --> 00:53:47,640
Speaker 3: If it was safe one hundred percent tested and rigorously tested?

1050
00:53:48,080 --> 00:53:50,840
Speaker 2: Yes, So fuck you could have just said that in

1051
00:53:50,880 --> 00:53:55,080
Speaker 2: the first place, telling us about mode in your own disease,

1052
00:53:55,120 --> 00:53:59,480
Speaker 2: which we do support MND and Neil Danaher and the

1053
00:53:59,520 --> 00:53:59,960
Speaker 2: work he does.

1054
00:54:00,120 --> 00:54:01,399
Speaker 1: Tiff, would you do it?

1055
00:54:02,160 --> 00:54:02,560
Speaker 5: I don't know.

1056
00:54:02,640 --> 00:54:04,760
Speaker 1: If it was one hundred percent safe.

1057
00:54:04,840 --> 00:54:08,320
Speaker 5: I don't know. I hope I don't have to have

1058
00:54:08,400 --> 00:54:11,319
Speaker 5: them ever have to make the decision. I hope it

1059
00:54:11,320 --> 00:54:12,839
Speaker 5: doesn't happen that fast.

1060
00:54:13,280 --> 00:54:17,240
Speaker 2: You will if it was one hundred percent no, No,

1061
00:54:17,400 --> 00:54:19,680
Speaker 2: I would just rather access the information in the old

1062
00:54:19,680 --> 00:54:23,560
Speaker 2: fashioned way. But then maybe that's just because I'm a

1063
00:54:23,600 --> 00:54:26,160
Speaker 2: scaredy cat, and maybe Patrick, you're right.

1064
00:54:26,239 --> 00:54:26,640
Speaker 1: I don't know.

1065
00:54:26,719 --> 00:54:28,600
Speaker 2: I don't think there's a right or wrong, but just

1066
00:54:28,719 --> 00:54:31,200
Speaker 2: my my gut, my intuition says no.

1067
00:54:31,520 --> 00:54:34,279
Speaker 3: Can I just talk about how absolutely lazy that I

1068
00:54:34,400 --> 00:54:37,680
Speaker 3: sometimes can be? So if I wake up in the morning,

1069
00:54:38,040 --> 00:54:40,480
Speaker 3: I've now got I talk to my Google home speaker

1070
00:54:40,520 --> 00:54:43,439
Speaker 3: to add calendon entries into my diary, which is good

1071
00:54:43,480 --> 00:54:45,279
Speaker 3: because if you wake up at two am and you've

1072
00:54:45,280 --> 00:54:46,719
Speaker 3: got all these things going on but you don't want

1073
00:54:46,719 --> 00:54:48,680
Speaker 3: to turn the lights on, I can talk to Google

1074
00:54:48,719 --> 00:54:50,080
Speaker 3: and get it to add that information.

1075
00:54:50,440 --> 00:54:51,920
Speaker 4: But sometimes I'm.

1076
00:54:51,760 --> 00:54:54,000
Speaker 1: So Google the name of your boyfriend.

1077
00:54:53,800 --> 00:55:02,200
Speaker 3: Yes, and Scott maybe say Scotty, Oh my god, they interchangeable. Maybe.

1078
00:55:02,640 --> 00:55:03,759
Speaker 4: So the thing is.

1079
00:55:03,960 --> 00:55:07,399
Speaker 2: How many funny, hilarious, entertaining things I could say right now,

1080
00:55:07,400 --> 00:55:10,319
Speaker 2: but I can't. Are the three people that send me

1081
00:55:10,360 --> 00:55:11,320
Speaker 2: emails all the time?

1082
00:55:11,480 --> 00:55:14,880
Speaker 3: You go on, But sometimes I'm still in that you know,

1083
00:55:14,920 --> 00:55:20,760
Speaker 3: when you're in that drowsy half awake time of twilight zone. Yeah, yeah,

1084
00:55:20,880 --> 00:55:24,040
Speaker 3: and you're too lazy to even speak to Google or

1085
00:55:24,080 --> 00:55:26,839
Speaker 3: too zonked out to speak to Google. If I had

1086
00:55:26,840 --> 00:55:29,520
Speaker 3: that neural link chip, I could just think it and

1087
00:55:29,560 --> 00:55:31,799
Speaker 3: not have to articulate it, so I don't even have

1088
00:55:31,880 --> 00:55:34,560
Speaker 3: to speak to add that calendar note. See that would

1089
00:55:34,560 --> 00:55:34,879
Speaker 3: be good.

1090
00:55:35,320 --> 00:55:37,480
Speaker 2: I'm glad you delayed the end of the show for that,

1091
00:55:37,520 --> 00:55:38,840
Speaker 2: because that was fucking great.

1092
00:55:42,280 --> 00:55:48,000
Speaker 1: In your head? What goes on? Oh we love you.

1093
00:55:48,440 --> 00:55:50,200
Speaker 1: I've just taken the p one ss.

1094
00:55:50,560 --> 00:55:52,919
Speaker 3: But if I had neurallink, I could plug my head

1095
00:55:52,920 --> 00:55:54,640
Speaker 3: into your head and then you would know what was

1096
00:55:54,680 --> 00:55:55,520
Speaker 3: going on in my head.

1097
00:55:55,560 --> 00:55:58,240
Speaker 2: I could And if you had neurallink, you could download

1098
00:55:58,320 --> 00:56:01,279
Speaker 2: your download your dreams and sect them later in the day.

1099
00:56:01,440 --> 00:56:03,600
Speaker 3: It'd be awesome. I'd love to I have so many good,

1100
00:56:03,680 --> 00:56:05,479
Speaker 3: vivid dreams. I dream so much.

1101
00:56:06,560 --> 00:56:10,720
Speaker 2: Patrick, Speaking of dreams, people who are dreaming to connect

1102
00:56:10,719 --> 00:56:16,480
Speaker 2: with you and get you to help them develop their website, etc.

1103
00:56:17,080 --> 00:56:18,960
Speaker 2: And business and branding and marketing.

1104
00:56:19,040 --> 00:56:19,840
Speaker 1: How can they do that?

1105
00:56:20,480 --> 00:56:24,560
Speaker 3: Just go to websitesnow, dot com doday. You really the worst?

1106
00:56:25,040 --> 00:56:27,360
Speaker 1: And that was the worst fucking segue of all time.

1107
00:56:28,280 --> 00:56:31,799
Speaker 3: Me, I'm not as bad in the real world. It's

1108
00:56:31,840 --> 00:56:34,239
Speaker 3: Craig just brings out the worst in me. So if

1109
00:56:34,239 --> 00:56:37,560
Speaker 3: you if you want to talk to me about important things.

1110
00:56:38,440 --> 00:56:41,319
Speaker 1: All right, we're going to go. Thank you, Patrick, thank

1111
00:56:41,360 --> 00:56:41,719
Speaker 1: you TIV.

1112
00:56:42,160 --> 00:56:43,000
Speaker 3: See you guys,