WEBVTT - #2044 Rock, Paper, Scissors- Patrick Bonello

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<v Speaker 1>I get a term. It's us. Of course, it is

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<v Speaker 1>Tiffany and Cook, Patrick, James Bonello and me Jumbo Fatty

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<v Speaker 1>Harps just here every Friday morning. It's eight oh one

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<v Speaker 1>at this point in time. Let's go out to the

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<v Speaker 1>middle of nowhere and saylo to Patrick, Hi, mate, how

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<v Speaker 1>are you?

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<v Speaker 2>I could like to say that it's not the middle

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<v Speaker 2>of nowhere.

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<v Speaker 1>It's the center of the universe, all right, the center

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<v Speaker 1>of the universe aka the middle of nowhere. How is

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<v Speaker 1>baland the thriving metropolis? How are you both out there,

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<v Speaker 1>the two of you that live there? Well, Fritz, how

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<v Speaker 1>is the other person that lives there? How are they going?

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<v Speaker 2>Fritz is licking himself, So he's being very productive.

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<v Speaker 1>Oh, I'm so jealous. He would never leave the house.

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<v Speaker 1>Was you imagine that? Imagine? No, that's already I reckon.

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<v Speaker 1>If anyone on this call is flexible enough for that,

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<v Speaker 1>it's not me or tiff So I think I think

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<v Speaker 1>it might be the fucking yoga teacher or whatever it

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<v Speaker 1>is that you take Chi always my reason for doing it.

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<v Speaker 1>We thought you had hip displasure. No, you're just trying

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<v Speaker 1>to give yourself a head job.

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<v Speaker 2>But there we want people to kind of infer that,

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<v Speaker 2>and I don't have to.

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<v Speaker 1>Come out and say it like, you know, ah, sorry,

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<v Speaker 1>let's start again, all right, hey everybody.

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<v Speaker 2>This is going to be one of those shows. How

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<v Speaker 2>many times you reckon? We can start it again?

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<v Speaker 1>TIF? How many times I reckon? I think five? We've

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<v Speaker 1>done it?

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<v Speaker 2>Five is our record where we did anyway, I'm well,

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<v Speaker 2>thank you. It's bloody freezing this morning, though I've got

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<v Speaker 2>the got the heater going. But yee, I'll tell you what.

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<v Speaker 2>The walkout to the studio is bloody cold.

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<v Speaker 1>Do you have a heater in the studio or is

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<v Speaker 1>that inconsistent with cognitive functions so you like to keep

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<v Speaker 1>it cold? No?

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<v Speaker 2>No, no, no, that the heater is definitely definitely going.

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<v Speaker 2>I might say that I've I've been awake for ages,

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<v Speaker 2>like literally for hours, and.

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<v Speaker 1>I'm this is what I sleep in. I mean, my

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<v Speaker 1>brother's disgusting. You smell. Have you not had a shower?

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<v Speaker 1>Oh god, I haven't.

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<v Speaker 2>I haven't exercised yet. So I'm going to take the

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<v Speaker 2>Schnauser out for a walk after this.

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<v Speaker 1>Schnauser is such a bad name for any breed of anything. Schnauzer.

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<v Speaker 1>You can you get that little motherfucker right there. Look

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<v Speaker 1>at him. Look, he's so busy licking himself. What is

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<v Speaker 1>he doing? And room mate, don't do that. Fritz, Fritz,

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<v Speaker 1>get get out of the shot. Fritz.

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<v Speaker 2>Hear you, he's not wearing headphones like a.

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<v Speaker 1>Fucking canine porno. Get rid of him. What is he doing?

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<v Speaker 1>She's got no pride. Get on the floor and do that.

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<v Speaker 1>He's embarrassed him.

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<v Speaker 2>He's got off the chair, he's walked away, and now

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<v Speaker 2>now he's given me the snaus a look, he's just

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<v Speaker 2>looking at me.

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<v Speaker 1>What the three feet Schnauzer death stare.

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<v Speaker 2>It's scary when he gives you the look because he's

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<v Speaker 2>got those the eyebrows are like an awning over the

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<v Speaker 2>top of his head and he just peers through them.

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<v Speaker 2>So it's kind of is he looking at me? Or

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<v Speaker 2>isn't he looking at me? And it's a bit unnerving.

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<v Speaker 1>You've seen. Why don't you give that little hair arounda

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<v Speaker 1>a little bit of a trim.

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<v Speaker 2>Look, I know he's back up again. There, Oh God,

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<v Speaker 2>here we go.

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<v Speaker 1>Now he's sniffing you. God, I don't let him lick

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<v Speaker 1>you because it's just been on his cock. That tue.

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<v Speaker 1>Get him stop it the worst. I just tapping Patrick

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<v Speaker 1>on the arm, like, come on, bro, give him some love.

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<v Speaker 1>Give him like look at.

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<v Speaker 3>Oh my god, I love him.

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<v Speaker 1>Oh now he's like, don't make fun of me that.

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<v Speaker 1>Oh why are you not giving him some love? Oh

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<v Speaker 1>my god?

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<v Speaker 2>The worst start of a show ever, Tiff, how are you?

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<v Speaker 2>I'm fabulous.

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<v Speaker 3>I just went and did a little boxing. I haven't

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<v Speaker 3>put the block gloves on and boxed most of this year,

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<v Speaker 3>and I just did a little boxing session this morning.

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<v Speaker 1>I'm feeling good. Did you hit the bag, did you

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<v Speaker 1>hit the speedball, the floor to ceiling? Or did you

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<v Speaker 1>hit Brian in the ring? When I say not Brian

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<v Speaker 1>in the ring, I mean Brian, it's not Brian's ring,

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<v Speaker 1>but Brian who happened to be in the ring unless

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<v Speaker 1>he was doing a downward dog at the time, and

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<v Speaker 1>then you hit him in the ring. But so, what

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<v Speaker 1>was the format of the boxing is what I'm trying

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<v Speaker 1>to ask. I did a little bag work.

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<v Speaker 2>I did a little Florida ceiling. I did a little

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<v Speaker 2>bit of that wall bag. It was it was great.

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<v Speaker 1>How I feel like I shoulders feel strong?

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<v Speaker 2>I do feel like I look like a little mac truck.

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<v Speaker 3>Staffy or something. Now that I'm like, I didn't look

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<v Speaker 3>like this last time I put the gloves on.

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<v Speaker 1>He's been taking volumes of steroids and lifting heavy things.

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<v Speaker 3>Have not been taking volumes of still, but I've been.

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<v Speaker 1>But you look like it. Well that that you are

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<v Speaker 1>a fucking anomaly, because.

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<v Speaker 3>I'm not taking that off, because that was very timed.

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<v Speaker 3>I didn't take my jacket off for that reason.

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<v Speaker 1>Yeah sure, Patrick, and I just going to get a coat.

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<v Speaker 1>Will be back in a moment. I'm covering up to

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<v Speaker 1>me too.

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<v Speaker 2>I'm glad I have a shaven.

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<v Speaker 3>All of the typ listeners know exactly what we're all

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<v Speaker 3>laughing at without us even saying anything.

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<v Speaker 1>I don't know. It seems like this is getting looser

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<v Speaker 1>every episode. I feel like somebody out of the rig.

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<v Speaker 1>It's going to get Lisa. I think I think somebody

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<v Speaker 1>responsible needs try and get it back on track. If

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<v Speaker 1>only they will have one here. One day you'll have

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<v Speaker 1>an adult.

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<v Speaker 2>In the show, and then it will all be put

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<v Speaker 2>back on track.

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<v Speaker 1>I don't think an adult would want to be involved

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<v Speaker 1>in that. Got a chance, Patrick, Let's start with the

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<v Speaker 1>important stuff. I've got a list. If you've never heard

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<v Speaker 1>this before, well, if you've never heard this show before

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<v Speaker 1>or this installment of the show before, you've probably already left.

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<v Speaker 1>But if you happen to be still here, One, what

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<v Speaker 1>the fuck is wrong with what are you doing? Yeah? Yeah,

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<v Speaker 1>you get a life. But two, this is the show

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<v Speaker 1>where Patrick allegedly comes and talks to us about. Well,

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<v Speaker 1>it used to be originally just tech, but we've kind

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<v Speaker 1>of diversified and there's a little bit of psychology and

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<v Speaker 1>human behavior and it's a bit of a pot pirie

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<v Speaker 1>of conversation to be honest, But I think we should

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<v Speaker 1>start with the most interesting topic on your list. Today,

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<v Speaker 1>scientists reveal a clever trick that can help me win

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<v Speaker 1>rock paper So yeah.

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<v Speaker 2>This is really interesting. So you know when you play

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<v Speaker 2>rock paper scissors?

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<v Speaker 1>Right, what I just asked, Tiff, do you know what

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<v Speaker 1>that is?

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<v Speaker 3>Oh?

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<v Speaker 1>Yeah, yeah, okay, yeah, yeah, yeah, go.

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<v Speaker 2>I find it interesting what science has studied. Let's just

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<v Speaker 2>go back one step, because they're studying rock paper scissors.

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<v Speaker 2>But kind of cool. I think that's great. It's you know,

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<v Speaker 2>obviously we're not the only ones who never evolved into adulthood.

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<v Speaker 2>I think that's cool anyway.

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<v Speaker 1>Also, I just want to ask, as a side note,

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<v Speaker 1>who the fuck is funding this research?

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<v Speaker 2>Yeah, I don't know, like play school, some Landling company,

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<v Speaker 2>the Wiggles.

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<v Speaker 1>Anyway, go on.

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<v Speaker 2>It actually has broader implications in terms of how we

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<v Speaker 2>make decisions and whether when we make a decision competitively

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<v Speaker 2>or whether we do it in conjunction with someone as

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<v Speaker 2>a team effort. But what it was looking at was

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<v Speaker 2>how do you win at Rock paper scissors? And most

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<v Speaker 2>people make the decision of what they're going to play

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<v Speaker 2>next based on.

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<v Speaker 1>The previous round.

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<v Speaker 2>So when I'm doing rock paper fitters with you and

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<v Speaker 2>you have rock or paper or scissors or whatever it

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<v Speaker 2>happens to be, I'm influenced by what your previous action was.

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<v Speaker 2>And the scientists came up with the notion that, in fact,

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<v Speaker 2>that's the wrong thing to do. You've got to not

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<v Speaker 2>be influenced by the previous action the person did, and

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<v Speaker 2>you will have more chance of winning if you come

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<v Speaker 2>up with a new move each time. So this is

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<v Speaker 2>basically what came out of this. But what they're saying

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<v Speaker 2>from this is that the field it's basically social neuroscience,

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<v Speaker 2>and what they're looking into is how the brains of

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<v Speaker 2>individuals gain an insight into another person. And the decision

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<v Speaker 2>making process, and if we interact with people what that

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<v Speaker 2>then means. It's called hyper scanning, and it's a method

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<v Speaker 2>of working. As you probably know more about this than

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<v Speaker 2>we do.

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<v Speaker 1>Crago. Well, now it's very interesting. It's like anticipation and

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<v Speaker 1>trying to antidi based on previous data or previous behavior,

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<v Speaker 1>what somebody's going to do next. Like they say, in

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<v Speaker 1>general terms human behavior, the best predictor of future behavior

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<v Speaker 1>is past behavior. But when you're doing something, which is

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<v Speaker 1>where you're trying, like obviously in a game like this,

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<v Speaker 1>you're trying to manipulate or deceive somebody. That's the point

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<v Speaker 1>of the game because you're trying to win, so you

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<v Speaker 1>don't want them to know what you're going to do.

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<v Speaker 1>But yeah, it's definitely it is definitely interesting. But that trying,

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<v Speaker 1>Like it's easy to say, make it random every time

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<v Speaker 1>and don't repeat what you did last time. But if

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<v Speaker 1>you never repeat what you did last time, well that's

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<v Speaker 1>a pattern as well, and that makes you predictable. Like

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<v Speaker 1>if you ever do paper twice in a row, I know,

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<v Speaker 1>well Patrick never does the same thing twice in a row,

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<v Speaker 1>and there are only three things, only three options. Last

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<v Speaker 1>time he did paper, so this time it's definitely got

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<v Speaker 1>to be scissors or rocks. I feel like I'm sounding

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<v Speaker 1>like a really boring scientist now, but yeah, it is

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<v Speaker 1>that whole kind of that ability to be anticipated, to

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<v Speaker 1>be able to anticipate what somebody is going to do

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<v Speaker 1>in terms of a decision and a behavior. It's it.

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<v Speaker 1>The benefits are far reaching beyond this particular game. But

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<v Speaker 1>I understand why they did this research because it can

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<v Speaker 1>be extrapolated to a lot of other things.

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<v Speaker 2>And the other thing it just occurred to me while

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<v Speaker 2>you were talking, because I was listening intently to what

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<v Speaker 2>you were saying, was did you ever play did you

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<v Speaker 2>ever play the rule with dynamite? So rock papers is

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<v Speaker 2>a dynamite?

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<v Speaker 1>I did not. Oh see that was another.

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<v Speaker 2>One as well, rock papers and dynamite, So that that's

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<v Speaker 2>another variable as well. So it actually increases it exponentially,

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<v Speaker 2>doesn't it by having another fear anyway, that's I just

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<v Speaker 2>thought i'd mentioned that for those people who've played rock

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<v Speaker 2>papers as dynamite.

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<v Speaker 1>This kind of reminds me of in terms of like

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<v Speaker 1>repeating certain things and like that are unproductive and sociologically ridiculous.

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<v Speaker 1>The habit that we humans have of essentially having the

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<v Speaker 1>same conversation with the same person about the same issue

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<v Speaker 1>and getting the same negative result. Yet we do it

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<v Speaker 1>again and again and again, you know, rather than going okay.

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<v Speaker 1>So we've had a version of this conversation a hundred

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<v Speaker 1>times and it never turns out well. Either I need

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<v Speaker 1>to stop having it, or have a different version, or

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<v Speaker 1>try a different approach in a different context, or like

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<v Speaker 1>we are very slow learners when it comes to social interactions.

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<v Speaker 1>All right, let's move on then, So tell me why

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<v Speaker 1>life expectancy gains have slowed down sharply, Patrick, I feel

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<v Speaker 1>like they're almost on the way to going backwards. Yeah,

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<v Speaker 1>it feels like it as well.

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<v Speaker 2>And this is and I guess it might be how

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<v Speaker 2>we're living at the moment, or the fact that it

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<v Speaker 2>plateaued and now it's kind of dipping on the other side.

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<v Speaker 2>So some recent research has been looking into you know,

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<v Speaker 2>at the end of the nineteen thirty so nineteen thirty nine,

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<v Speaker 2>anybody born after anineteen thirty nine had a greater chance

0:12:02.720 --> 0:12:08.720
<v Speaker 2>of increasing their longevity their life every year after that.

0:12:09.200 --> 0:12:13.280
<v Speaker 2>So basically, if you lived in nineteen thirty nine, your

0:12:13.280 --> 0:12:16.080
<v Speaker 2>life expectancy was like sixty something years, but then every

0:12:16.160 --> 0:12:18.720
<v Speaker 2>year after that it started to increase and increase and increase.

0:12:18.960 --> 0:12:23.640
<v Speaker 2>So medical breakthroughs helped a lot of that, but longevity

0:12:23.679 --> 0:12:28.360
<v Speaker 2>growth now has lost its momentum. So historically it would increase,

0:12:28.679 --> 0:12:31.800
<v Speaker 2>but it seems now that no generations that are born

0:12:31.880 --> 0:12:35.439
<v Speaker 2>after nineteen thirty nine, So you know, right now we're

0:12:35.440 --> 0:12:39.040
<v Speaker 2>seeing people live to that age and those people would

0:12:39.040 --> 0:12:43.079
<v Speaker 2>have been born in nineteen so as we head towards

0:12:43.080 --> 0:12:46.760
<v Speaker 2>that time, but the reality is now they're saying that

0:12:46.920 --> 0:12:49.040
<v Speaker 2>less people are going to be and in fact, it's

0:12:49.040 --> 0:12:51.959
<v Speaker 2>going to get to a point where anybody born after

0:12:52.040 --> 0:12:54.640
<v Speaker 2>nineteen eighty will not live to one hundred.

0:12:56.080 --> 0:13:03.000
<v Speaker 1>Wow. Yeah, wow, don't surprise me. It doesn't surprise me.

0:13:03.120 --> 0:13:07.200
<v Speaker 1>Like there's this almost this contradiction where we've got. It

0:13:07.320 --> 0:13:10.520
<v Speaker 1>seems like some of us have got worse and worse

0:13:10.679 --> 0:13:13.920
<v Speaker 1>habits and behaviors, but at the same time, we've got

0:13:13.960 --> 0:13:18.719
<v Speaker 1>all this groundbreaking medicine and medical resources to help us

0:13:18.760 --> 0:13:23.160
<v Speaker 1>live longer and stronger. But yeah, I wonder, I wonder

0:13:23.240 --> 0:13:25.600
<v Speaker 1>with all the toxins in the soil and the air

0:13:25.720 --> 0:13:27.959
<v Speaker 1>and all of the things, and the plastics and the

0:13:29.200 --> 0:13:32.200
<v Speaker 1>phyto estrogens, and all the shit that we need to

0:13:32.240 --> 0:13:35.120
<v Speaker 1>deal with now. I wonder if we're about to hit

0:13:35.200 --> 0:13:37.400
<v Speaker 1>that kind of platau or maybe go backwards.

0:13:37.960 --> 0:13:41.240
<v Speaker 2>Well, this study has been done by the University of Wisconsin, Madison,

0:13:42.080 --> 0:13:45.640
<v Speaker 2>and I guess when you think about also record keeping

0:13:45.840 --> 0:13:48.720
<v Speaker 2>and how accurate it is, and the fact that we

0:13:48.840 --> 0:13:52.320
<v Speaker 2>now have really good data we can track population growth

0:13:52.400 --> 0:13:55.280
<v Speaker 2>and we're not we're talking Western nations too. This is

0:13:55.320 --> 0:13:59.679
<v Speaker 2>specifically research that's you know, on longevity. Data is based

0:13:59.679 --> 0:14:03.240
<v Speaker 2>around the western Western nations, so we're not sure about

0:14:03.240 --> 0:14:03.920
<v Speaker 2>other countries.

0:14:04.320 --> 0:14:06.520
<v Speaker 1>But it's interesting. Oh sorry, dude, I was just going

0:14:06.559 --> 0:14:08.480
<v Speaker 1>to say it's interesting you brought up nine and thirty

0:14:08.559 --> 0:14:10.800
<v Speaker 1>nine as that date because both of my parents were

0:14:10.800 --> 0:14:14.240
<v Speaker 1>born in nineteen thirty nine and they're both eighty six,

0:14:14.520 --> 0:14:16.960
<v Speaker 1>so they've done pretty well. Yep.

0:14:17.160 --> 0:14:19.760
<v Speaker 2>Yeah, Well, my day just turned ninety a few weeks ago,

0:14:20.040 --> 0:14:22.280
<v Speaker 2>and obviously he was born before then, so that'd be

0:14:22.320 --> 0:14:23.200
<v Speaker 2>mak him thirty five?

0:14:23.320 --> 0:14:28.760
<v Speaker 1>Was it? No? Thirty five? Well that I know this

0:14:28.840 --> 0:14:30.560
<v Speaker 1>is digressing, But how's dad's health.

0:14:30.960 --> 0:14:35.200
<v Speaker 2>Look, he's in aged care. He's always ridiculously active. But

0:14:35.240 --> 0:14:37.280
<v Speaker 2>the two things I think worked in his favor have

0:14:37.400 --> 0:14:40.320
<v Speaker 2>worked in his favor is he didn't never smoked, and

0:14:40.400 --> 0:14:42.600
<v Speaker 2>he very occasionally had a drink, you know, have a

0:14:42.600 --> 0:14:46.040
<v Speaker 2>beer in summer, and that was all. But was always

0:14:46.080 --> 0:14:50.120
<v Speaker 2>always active, always walked, you know, was physically in the

0:14:50.160 --> 0:14:52.560
<v Speaker 2>garden every day, that sort of stuff. But he's done

0:14:52.640 --> 0:14:55.840
<v Speaker 2>pretty well, you know, I think for most. My theory

0:14:55.840 --> 0:14:57.920
<v Speaker 2>on this, and we've spoken about this many many times,

0:14:58.120 --> 0:14:59.600
<v Speaker 2>I don't know that I want to live to one hundred.

0:14:59.600 --> 0:15:01.840
<v Speaker 1>I just want to live to an old age in

0:15:01.880 --> 0:15:02.440
<v Speaker 1>good health.

0:15:03.000 --> 0:15:06.240
<v Speaker 2>So keep keeping running on all cylinders for as long

0:15:06.280 --> 0:15:07.440
<v Speaker 2>as possible, I reckon.

0:15:07.920 --> 0:15:11.400
<v Speaker 1>Yeah, we call that health span. So that's living long

0:15:11.560 --> 0:15:13.680
<v Speaker 1>as long as you can, but as well as you can.

0:15:13.800 --> 0:15:17.359
<v Speaker 1>For the vast majority, I've noticed.

0:15:17.120 --> 0:15:20.840
<v Speaker 2>One smart watch is now telling me what my health

0:15:20.920 --> 0:15:24.320
<v Speaker 2>age is. And it's kind of disconcerting. And so, hey,

0:15:24.360 --> 0:15:26.880
<v Speaker 2>you've been really active and you're doing all the right things.

0:15:27.160 --> 0:15:29.960
<v Speaker 2>You're actually you know, in your late forties, not your

0:15:30.000 --> 0:15:32.360
<v Speaker 2>late fifties, like you sucking up to me.

0:15:32.400 --> 0:15:35.120
<v Speaker 3>Or what you realize that you keep looking at your

0:15:35.120 --> 0:15:36.920
<v Speaker 3>wrist and you're not actually wearing a watch.

0:15:37.080 --> 0:15:40.160
<v Speaker 2>No, yeah, I left my health watch off because I

0:15:40.160 --> 0:15:41.240
<v Speaker 2>think it's lying to me.

0:15:44.520 --> 0:15:47.040
<v Speaker 1>I feel it's trying to create rapport and build connection

0:15:47.120 --> 0:15:51.920
<v Speaker 1>and trust. Now, there is some research that's come out

0:15:52.000 --> 0:15:56.360
<v Speaker 1>which is very significant to me and quite disconcerting, because

0:15:56.400 --> 0:16:02.040
<v Speaker 1>being too attractive can hurt fitness, influences, new res such Hell,

0:16:02.080 --> 0:16:06.680
<v Speaker 1>that's going to be a setback for me. It's you laughing?

0:16:07.080 --> 0:16:10.160
<v Speaker 1>Are you laughing? Sucking hell?

0:16:10.680 --> 0:16:13.840
<v Speaker 2>Knowing? By this study, out of the three people in

0:16:13.880 --> 0:16:17.360
<v Speaker 2>this conversation, Tiff is the least likely to believe be

0:16:17.360 --> 0:16:22.600
<v Speaker 2>believed then you or I. It's called influences.

0:16:23.320 --> 0:16:26.920
<v Speaker 1>Okay, yeah, so tell me what's going on with this.

0:16:27.360 --> 0:16:31.160
<v Speaker 2>Well, you know that the adage that sex cells actually

0:16:31.240 --> 0:16:36.320
<v Speaker 2>isn't working. So researchers looked into consumer behavior and there

0:16:36.360 --> 0:16:39.560
<v Speaker 2>seems like when people are pushing this is in the

0:16:39.560 --> 0:16:43.560
<v Speaker 2>health field. Only they did prospers to different disciplines and

0:16:43.600 --> 0:16:47.560
<v Speaker 2>they found this was most strongly in the influencer area

0:16:47.720 --> 0:16:50.800
<v Speaker 2>for health. And what they found was if someone is

0:16:50.840 --> 0:16:54.400
<v Speaker 2>too good looking and too attractive, they're less.

0:16:55.880 --> 0:16:58.240
<v Speaker 1>Yeah. Yeah, yeah, so we're much more authentic.

0:16:58.400 --> 0:17:01.880
<v Speaker 2>Now I get that, because what it is when you're

0:17:01.920 --> 0:17:05.400
<v Speaker 2>trying to talk about a health message, you want to

0:17:05.480 --> 0:17:08.520
<v Speaker 2>engage with your audience. But if you're way too good looking,

0:17:08.560 --> 0:17:12.880
<v Speaker 2>people can't relate to you because you alienate them because

0:17:12.880 --> 0:17:15.760
<v Speaker 2>there's not that connectedness. And you know, I guess when

0:17:15.760 --> 0:17:18.879
<v Speaker 2>we're talking about health, it's a pretty personal thing. But

0:17:18.960 --> 0:17:21.560
<v Speaker 2>I thought that was kind of interesting and maybe that's

0:17:21.600 --> 0:17:23.679
<v Speaker 2>why you've succeeded as in the health.

0:17:26.760 --> 0:17:31.040
<v Speaker 1>Is that right? Low it are you saying because I'm

0:17:31.160 --> 0:17:32.280
<v Speaker 1>ugly as why I've done well?

0:17:32.280 --> 0:17:35.640
<v Speaker 2>But I don't know, because you're authentic, and you're authentic

0:17:35.720 --> 0:17:36.880
<v Speaker 2>in your presence.

0:17:36.560 --> 0:17:38.919
<v Speaker 1>But what authentic's got nothing to do with looks? And

0:17:38.960 --> 0:17:41.439
<v Speaker 1>this is all about looks, this particular story. And you

0:17:41.520 --> 0:17:46.000
<v Speaker 1>were saying attractive people, it's a handicap and I've done

0:17:46.040 --> 0:17:48.040
<v Speaker 1>well because I'm not attractive. Is that what you're saying?

0:17:48.320 --> 0:17:53.200
<v Speaker 2>Well, you're not overtly attractive.

0:17:54.560 --> 0:17:57.840
<v Speaker 1>I'm not overtly attractive.

0:17:58.119 --> 0:17:58.680
<v Speaker 3>Friends like.

0:18:00.119 --> 0:18:01.960
<v Speaker 1>You break that down for me a little bit. So

0:18:02.000 --> 0:18:06.840
<v Speaker 1>I'm not overtly attractive. What am I? Ruggedly handsome? See

0:18:07.200 --> 0:18:09.600
<v Speaker 1>that's bookshit as well, because now you're lying. Now you're

0:18:09.640 --> 0:18:13.919
<v Speaker 1>fucking backpeddling. I can hear your gears grinding. It's a

0:18:13.960 --> 0:18:16.360
<v Speaker 1>good thing. My mum loves me and I don't need

0:18:16.400 --> 0:18:20.200
<v Speaker 1>your fucking approval. Wow, And I'm not trying to attract

0:18:20.240 --> 0:18:22.520
<v Speaker 1>you any I'm not trying to attract anyone, let's be honest.

0:18:23.000 --> 0:18:24.760
<v Speaker 1>But you can go right to the back of the

0:18:24.840 --> 0:18:29.359
<v Speaker 1>queue back in therapy for harps. You know what happened.

0:18:29.400 --> 0:18:31.600
<v Speaker 1>I told you I took a photo with doctor Alex,

0:18:31.640 --> 0:18:34.400
<v Speaker 1>who's the best looking surgeon in the world, and all

0:18:34.440 --> 0:18:37.800
<v Speaker 1>everybody did was talk about whether or not one how

0:18:37.800 --> 0:18:40.440
<v Speaker 1>good looking he is. That was comment one and question

0:18:40.520 --> 0:18:44.080
<v Speaker 1>one was easy single. I'm like, I am also in

0:18:44.119 --> 0:18:47.199
<v Speaker 1>the photo, but there was not one comment I am

0:18:47.240 --> 0:18:51.840
<v Speaker 1>also there. Hey, there are two people, you know.

0:18:51.920 --> 0:18:53.480
<v Speaker 2>The other thing that came out of the study was

0:18:53.560 --> 0:18:59.760
<v Speaker 2>that when people watch these fitness influences or fit influences,

0:19:00.119 --> 0:19:02.800
<v Speaker 2>it's hard to say with the mathul it's eth fit fluences,

0:19:03.880 --> 0:19:08.359
<v Speaker 2>but when they watch them talking about or spooking about health,

0:19:08.680 --> 0:19:11.440
<v Speaker 2>they come away from it with a lower self esteem.

0:19:12.320 --> 0:19:16.760
<v Speaker 1>Wow. Yeah, Like, my only question is all of the

0:19:16.760 --> 0:19:19.959
<v Speaker 1>fitness influences that I know, and there are quite a

0:19:19.960 --> 0:19:22.479
<v Speaker 1>lot of them that I know personally and also I

0:19:22.520 --> 0:19:26.320
<v Speaker 1>know through the interwebs, none of them are fucking out

0:19:26.359 --> 0:19:28.280
<v Speaker 1>of shape and ugly. Let me tell you that. So

0:19:28.400 --> 0:19:30.960
<v Speaker 1>I don't know about the validity of this. Most of

0:19:31.000 --> 0:19:33.359
<v Speaker 1>them are pretty jacked and pretty good looking, either pretty

0:19:33.440 --> 0:19:37.359
<v Speaker 1>or or handsome. But I am interested in this story

0:19:37.400 --> 0:19:42.639
<v Speaker 1>because I grew up with the Eagles. The Hotel California.

0:19:41.960 --> 0:19:48.159
<v Speaker 2>Effect, like, yeah, it's called the Hotel California because you

0:19:48.200 --> 0:19:48.880
<v Speaker 2>know the lyrics.

0:19:49.520 --> 0:19:51.840
<v Speaker 1>Of course, check you.

0:19:51.760 --> 0:19:53.879
<v Speaker 2>Can check in any time you like, but you can

0:19:53.920 --> 0:19:56.520
<v Speaker 2>never leave something along those lines that how correct correct.

0:19:56.960 --> 0:20:00.000
<v Speaker 2>So the theory behind this is that a stack of Australia.

0:20:00.160 --> 0:20:03.280
<v Speaker 2>It's a phrase that's been coined by you know, basically

0:20:03.320 --> 0:20:06.879
<v Speaker 2>people who are looking into consumer insights. So it's a

0:20:07.280 --> 0:20:10.160
<v Speaker 2>that's put out by Deloitte. It comes out annually. It's

0:20:10.160 --> 0:20:15.520
<v Speaker 2>a media Entertainment consumer Insights report, and what they found

0:20:15.640 --> 0:20:19.000
<v Speaker 2>is more of us are subscribing and the amount that

0:20:19.040 --> 0:20:23.200
<v Speaker 2>we pay per month for subscriptions has risen by twenty

0:20:23.240 --> 0:20:28.000
<v Speaker 2>four percent this year. So on average, each household has

0:20:28.040 --> 0:20:31.159
<v Speaker 2>three point seven subscriptions to the value of about seventy

0:20:31.200 --> 0:20:34.560
<v Speaker 2>eight bucks, whereas last year it was sixty three dollars,

0:20:34.640 --> 0:20:38.119
<v Speaker 2>so there has been an increase. There's a criticism of

0:20:38.160 --> 0:20:42.400
<v Speaker 2>a lot of the subscription platforms that it's very hard

0:20:42.440 --> 0:20:46.399
<v Speaker 2>to unsubscribe, and you know what, it's honestly it's like

0:20:46.440 --> 0:20:49.840
<v Speaker 2>a needy relationship when you kind of try to leave

0:20:49.880 --> 0:20:52.840
<v Speaker 2>as well, it's really you're really going to go, what about.

0:20:52.640 --> 0:20:53.280
<v Speaker 1>If I do this?

0:20:53.480 --> 0:20:55.320
<v Speaker 2>What about if I do this and I do this

0:20:55.359 --> 0:20:58.359
<v Speaker 2>and then I'll do that? And have you tried to

0:20:58.480 --> 0:20:59.879
<v Speaker 2>unsubscribe recently from some?

0:21:00.119 --> 0:21:03.439
<v Speaker 1>Think? It's really hard? And then I have not. I

0:21:03.480 --> 0:21:07.120
<v Speaker 1>probably should though, because I've got too many Yeah, yeah,

0:21:07.280 --> 0:21:09.840
<v Speaker 1>how many of you got tip? Like what you're on Netflix?

0:21:09.880 --> 0:21:10.680
<v Speaker 1>What else are you on?

0:21:11.000 --> 0:21:13.480
<v Speaker 3>I'm only on Netflix every now and then I do

0:21:13.600 --> 0:21:16.400
<v Speaker 3>unsubscribed from that, but I don't know spot I've got

0:21:16.400 --> 0:21:21.119
<v Speaker 3>heaps Spotify, bluddy, even Zoom. I don't use the Zoom

0:21:21.160 --> 0:21:23.760
<v Speaker 3>subscription now because I use Riverside, but I've still got

0:21:23.800 --> 0:21:27.920
<v Speaker 3>it subscribed just in case. Strava don't use that. Use

0:21:27.960 --> 0:21:30.240
<v Speaker 3>that when I was running. Don't need to be premium

0:21:30.440 --> 0:21:32.280
<v Speaker 3>heaps hip Patrick.

0:21:32.320 --> 0:21:36.960
<v Speaker 1>The next story is a little bit tantric in it

0:21:37.000 --> 0:21:40.439
<v Speaker 1>feels a bit tantric to me, which is touching without contact.

0:21:42.200 --> 0:21:46.159
<v Speaker 1>We physically sense objects before feeling them, so.

0:21:46.320 --> 0:21:49.679
<v Speaker 2>Research because some animals do this really really well. There

0:21:49.680 --> 0:21:53.600
<v Speaker 2>are some birds that are able to stand on sand

0:21:54.160 --> 0:21:58.000
<v Speaker 2>and feel where their prey is under the sand, so

0:21:58.040 --> 0:21:59.919
<v Speaker 2>they thought this was kind of interesting. Let's do this

0:22:00.119 --> 0:22:03.280
<v Speaker 2>with human beings and see if humans when they press

0:22:03.320 --> 0:22:06.200
<v Speaker 2>their hand onto the sand consense just by moving their

0:22:06.240 --> 0:22:09.520
<v Speaker 2>hands around where the object is and was a high

0:22:09.640 --> 0:22:13.919
<v Speaker 2>level of accuracy. And what they're finding is that the vibrations,

0:22:14.000 --> 0:22:16.560
<v Speaker 2>it's kind of it's I'm using it in simple terms.

0:22:16.560 --> 0:22:19.000
<v Speaker 2>It's not like sonar. But what it means is that

0:22:19.320 --> 0:22:25.200
<v Speaker 2>those sensial the sense you get from tactile touch, can

0:22:25.320 --> 0:22:28.919
<v Speaker 2>actually work through the sand to the object, and we

0:22:28.960 --> 0:22:31.160
<v Speaker 2>almost have an innate sense to be able to find

0:22:31.160 --> 0:22:33.080
<v Speaker 2>that object. So you don't see people walking along the

0:22:33.080 --> 0:22:35.280
<v Speaker 2>beach with their metal detectors. Just lay down on the

0:22:35.280 --> 0:22:37.240
<v Speaker 2>sand and just press your hands in and you've got

0:22:37.240 --> 0:22:38.439
<v Speaker 2>more chance to find and stuff.

0:22:39.119 --> 0:22:41.560
<v Speaker 1>Well, I think that might be a skill or a

0:22:41.600 --> 0:22:45.480
<v Speaker 1>sense that might need to be developed. No, but it

0:22:45.920 --> 0:22:46.440
<v Speaker 1>is accurate.

0:22:46.440 --> 0:22:48.879
<v Speaker 2>Though. They say that they were able to track the

0:22:48.920 --> 0:22:52.800
<v Speaker 2>way people had this tactile sensation and just by feeling

0:22:53.200 --> 0:22:55.760
<v Speaker 2>the movement of the sand and how the sand then

0:22:55.840 --> 0:22:58.679
<v Speaker 2>pushed against the object. It's kind of interesting how our

0:22:58.760 --> 0:23:02.480
<v Speaker 2>sensors can kind of be extrapolated that way. And the

0:23:02.560 --> 0:23:05.680
<v Speaker 2>reason they're researching into this is because they are trying

0:23:05.720 --> 0:23:10.520
<v Speaker 2>to apply this to research into the development of robots

0:23:10.560 --> 0:23:13.920
<v Speaker 2>that have more tactile senses to be able to sense touch,

0:23:13.960 --> 0:23:16.720
<v Speaker 2>because that's a problem when you look at wanting to

0:23:16.880 --> 0:23:20.520
<v Speaker 2>potentially use say robots and healthcare, then the amount of

0:23:20.560 --> 0:23:24.320
<v Speaker 2>pressure that they apply and their sense of how much

0:23:24.320 --> 0:23:27.159
<v Speaker 2>pressure they're applying to say a person's hand. If you

0:23:27.160 --> 0:23:30.240
<v Speaker 2>think about health care, and in China they're going crazy

0:23:30.280 --> 0:23:33.520
<v Speaker 2>developing robots because they're worried about I guess the healthcare

0:23:33.840 --> 0:23:37.120
<v Speaker 2>of an aging population and a very young well not

0:23:37.280 --> 0:23:41.080
<v Speaker 2>having enough young people. But if I was to grab

0:23:41.160 --> 0:23:44.800
<v Speaker 2>your wrist or TIFF's wrist, all of us have a

0:23:44.840 --> 0:23:47.159
<v Speaker 2>different width in terms of what our wrist is, and

0:23:47.200 --> 0:23:49.919
<v Speaker 2>that's something that if you've got a pre programmed medical

0:23:50.000 --> 0:23:53.520
<v Speaker 2>robot that grabs you on the wrist, then because of

0:23:53.520 --> 0:23:55.879
<v Speaker 2>the diversity, how do they know how much pressure to

0:23:56.000 --> 0:24:00.200
<v Speaker 2>apply given that we all have a different width of wrist.

0:24:00.600 --> 0:24:03.880
<v Speaker 2>So it's really really important for this development of robotics

0:24:03.920 --> 0:24:07.199
<v Speaker 2>to be able to have quite tactile sensation, and this

0:24:07.240 --> 0:24:08.840
<v Speaker 2>has been a bit of a challenge that they're working

0:24:08.880 --> 0:24:11.040
<v Speaker 2>on at the moment. So this sort of research into

0:24:11.560 --> 0:24:14.560
<v Speaker 2>the tactile nature of sand and feeling things under the

0:24:14.600 --> 0:24:17.280
<v Speaker 2>sand works the same. We take a lot for granted

0:24:17.320 --> 0:24:19.440
<v Speaker 2>because of all the nerve endings we have in our hands,

0:24:19.960 --> 0:24:23.080
<v Speaker 2>but to apply that mechanically is really challenging.

0:24:23.840 --> 0:24:25.920
<v Speaker 1>You know what this makes me think about a little bit,

0:24:26.000 --> 0:24:31.480
<v Speaker 1>like developing these senses, Like you wonder if, given certain circumstances,

0:24:31.560 --> 0:24:35.280
<v Speaker 1>how well we could develop these senses that we really

0:24:35.840 --> 0:24:39.919
<v Speaker 1>are unaware of. Like you know, when somebody loses you know,

0:24:40.000 --> 0:24:45.040
<v Speaker 1>whether it's site or some other function, it's almost like

0:24:45.160 --> 0:24:49.440
<v Speaker 1>the other abilities kind of come into play or develop more.

0:24:50.119 --> 0:24:52.520
<v Speaker 1>I watched this thing on this dude who developed he

0:24:52.680 --> 0:24:56.480
<v Speaker 1>was blind. He is blind, and he's developed this kind

0:24:56.520 --> 0:25:02.520
<v Speaker 1>of echolocation skill. How bats make a noise and depending

0:25:02.560 --> 0:25:05.720
<v Speaker 1>on how far away they are from an object, how

0:25:05.800 --> 0:25:09.920
<v Speaker 1>quickly that noise returns to them, Like how quickly they

0:25:09.960 --> 0:25:14.320
<v Speaker 1>hear it back is it's called echolocation kind of gives

0:25:14.359 --> 0:25:16.639
<v Speaker 1>them a sense of where they are in space and

0:25:16.720 --> 0:25:20.280
<v Speaker 1>time and how close they are to things. And so

0:25:20.320 --> 0:25:23.200
<v Speaker 1>this dude develop this where he makes this noise, this

0:25:23.359 --> 0:25:27.400
<v Speaker 1>kind of clicking noise, and he can walk around and

0:25:27.680 --> 0:25:31.840
<v Speaker 1>he knows the proximity of physical objects that he can't see.

0:25:31.880 --> 0:25:34.440
<v Speaker 1>But he can sense with this skill that he developed.

0:25:34.920 --> 0:25:39.040
<v Speaker 1>It's fucking amazing what we can do when there are

0:25:39.080 --> 0:25:41.399
<v Speaker 1>certain things we now can't do. Now we have to,

0:25:42.800 --> 0:25:47.600
<v Speaker 1>I guess, lean into this other potential, whatever gift or sense,

0:25:47.680 --> 0:25:51.520
<v Speaker 1>and then develop that over time. We talked about.

0:25:51.280 --> 0:25:55.320
<v Speaker 2>Brain plasticity, and I think that potentially on the show

0:25:55.320 --> 0:25:57.720
<v Speaker 2>we may have but I might quickly repeat it. I

0:25:58.000 --> 0:26:01.040
<v Speaker 2>love to juggle, and this is something that I've always

0:26:01.160 --> 0:26:03.919
<v Speaker 2>enjoyed doing. Just a three ball cascade they call it.

0:26:04.280 --> 0:26:07.679
<v Speaker 2>And our German researchers took three groups of people and

0:26:07.720 --> 0:26:10.760
<v Speaker 2>took them how to juggle, and then after a month

0:26:11.119 --> 0:26:14.160
<v Speaker 2>they got one group. What they found, by the way,

0:26:14.320 --> 0:26:17.119
<v Speaker 2>with their research was that there's a part of the

0:26:17.160 --> 0:26:22.400
<v Speaker 2>brain that only activates when people are juggling. They don't

0:26:22.440 --> 0:26:26.320
<v Speaker 2>know why, but it only starts to show the synapses

0:26:26.359 --> 0:26:29.119
<v Speaker 2>and movement in the brain that part of the brain

0:26:29.400 --> 0:26:32.720
<v Speaker 2>when someone learns how to juggle, and if they're juggling consistency.

0:26:32.760 --> 0:26:35.880
<v Speaker 2>But after a month they broke the group into three

0:26:36.000 --> 0:26:39.040
<v Speaker 2>and one group kept juggling five minutes a day, one

0:26:39.400 --> 0:26:43.560
<v Speaker 2>group stopped juggling completely, and then the other group visualized

0:26:44.040 --> 0:26:47.160
<v Speaker 2>juggling and the group visualized and the group that were

0:26:47.320 --> 0:26:51.240
<v Speaker 2>consistently juggling, that active part of the brain stayed active.

0:26:52.240 --> 0:26:54.480
<v Speaker 2>Blue stopped juggling, that part of the brain that was

0:26:54.520 --> 0:26:58.560
<v Speaker 2>firing stopped firing, and then eventually they also know that

0:26:58.560 --> 0:27:01.480
<v Speaker 2>people who juggle on a regular base, that's always active.

0:27:01.240 --> 0:27:02.840
<v Speaker 1>In their brain. So they don't know what it is.

0:27:03.080 --> 0:27:03.760
<v Speaker 1>They know that the.

0:27:03.720 --> 0:27:06.679
<v Speaker 2>Brain is active and it's able to develop the sense

0:27:07.119 --> 0:27:10.440
<v Speaker 2>to do that. So just learning how to juggle is

0:27:10.840 --> 0:27:13.560
<v Speaker 2>a way for your brain to suddenly use a region

0:27:13.600 --> 0:27:16.040
<v Speaker 2>that it doesn't use. It's amazing. Was it sixteen percent

0:27:16.080 --> 0:27:17.520
<v Speaker 2>of our brain that we use crago?

0:27:18.760 --> 0:27:20.959
<v Speaker 1>I don't know. They really don't know because there's no

0:27:21.000 --> 0:27:23.720
<v Speaker 1>absolute number, but it's not in terms of our potential,

0:27:23.920 --> 0:27:26.640
<v Speaker 1>I think it's very low. I think it's around that Patrick.

0:27:26.720 --> 0:27:30.560
<v Speaker 1>But also, you know what else. I saw this thing

0:27:30.600 --> 0:27:32.560
<v Speaker 1>the other day which was I thought it said it

0:27:32.600 --> 0:27:34.520
<v Speaker 1>was a study, and then I went down the rabbit hole.

0:27:34.520 --> 0:27:37.560
<v Speaker 1>It wasn't a study. It was bullshit. But the idea

0:27:37.640 --> 0:27:41.119
<v Speaker 1>is very fucking clever, and that I forget which it

0:27:41.240 --> 0:27:44.280
<v Speaker 1>was like maybe Denmark or somewhere where allegedly what they

0:27:44.359 --> 0:27:48.120
<v Speaker 1>do is one hour a day in this school, this

0:27:48.160 --> 0:27:51.080
<v Speaker 1>particular school, which turned out to be bullshit, But it's

0:27:51.119 --> 0:27:53.960
<v Speaker 1>a great idea. I think it would work. They get

0:27:54.119 --> 0:27:58.000
<v Speaker 1>children to use their non dominant hand writing, so every

0:27:58.080 --> 0:27:59.600
<v Speaker 1>day they would you know, So for me, I'm a

0:27:59.640 --> 0:28:01.280
<v Speaker 1>left hand and it mean that you would do an

0:28:01.320 --> 0:28:04.880
<v Speaker 1>hour of work with your non dominant hand, and that

0:28:04.920 --> 0:28:07.879
<v Speaker 1>does amazing shit in your brain. And that's one of

0:28:07.920 --> 0:28:10.840
<v Speaker 1>the things I encourage older people to do is do

0:28:11.040 --> 0:28:13.920
<v Speaker 1>things that you don't normally do, because now your brain

0:28:13.960 --> 0:28:17.720
<v Speaker 1>has got to adapt to that new thing. And even

0:28:17.760 --> 0:28:20.760
<v Speaker 1>if it's like writing with your non dominant hand, or

0:28:21.880 --> 0:28:24.679
<v Speaker 1>using your non dominant hand to use your phone. Like

0:28:24.720 --> 0:28:27.199
<v Speaker 1>I'm left handed, so as I said, so when I

0:28:27.320 --> 0:28:29.440
<v Speaker 1>use my phone, it's always with my left hand. If

0:28:29.480 --> 0:28:31.600
<v Speaker 1>I try and do that with my right hand, it

0:28:31.720 --> 0:28:35.360
<v Speaker 1>is so clumsy and awkward. But I think, I think

0:28:35.400 --> 0:28:39.800
<v Speaker 1>these little ideas of coming up with little activities or

0:28:39.840 --> 0:28:42.960
<v Speaker 1>tricks or hacks to engage our brain in a different

0:28:42.960 --> 0:28:44.760
<v Speaker 1>way is a great idea.

0:28:45.240 --> 0:28:47.680
<v Speaker 2>One of the things I always talk to my Taichi

0:28:47.720 --> 0:28:49.480
<v Speaker 2>students about, given.

0:28:49.280 --> 0:28:51.800
<v Speaker 1>That a lot of them are older. My older student

0:28:51.840 --> 0:28:53.080
<v Speaker 1>at the moment is eighty six.

0:28:54.120 --> 0:28:57.040
<v Speaker 2>Fantastics shit tends class regularly, but one of the things

0:28:57.120 --> 0:28:59.200
<v Speaker 2>I say to them is every day, when you're brushing

0:28:59.200 --> 0:29:02.640
<v Speaker 2>your teeth, stand one leg, yeah, motion of the hand

0:29:02.760 --> 0:29:05.160
<v Speaker 2>moving plus being on one leg and then halfway through

0:29:05.160 --> 0:29:07.800
<v Speaker 2>swop to the other leg. And they all do it.

0:29:07.800 --> 0:29:10.560
<v Speaker 2>It's great because you can work on balance. You can

0:29:10.760 --> 0:29:14.760
<v Speaker 2>improve your balance. We know that a fall can be

0:29:14.920 --> 0:29:19.120
<v Speaker 2>so detrimental, and when you're older. The average statistics are

0:29:19.160 --> 0:29:21.640
<v Speaker 2>that if someone over the age of I think it's sixty,

0:29:21.680 --> 0:29:23.560
<v Speaker 2>but it might be seventy, so don't count, you know,

0:29:23.600 --> 0:29:26.560
<v Speaker 2>don't quote me on this, but the longevity is like

0:29:26.600 --> 0:29:28.480
<v Speaker 2>a year after a major fall.

0:29:28.680 --> 0:29:30.640
<v Speaker 1>Is how long their life expectancy is.

0:29:30.680 --> 0:29:33.080
<v Speaker 2>And that's a tragedy that we know we can do

0:29:33.120 --> 0:29:36.440
<v Speaker 2>something about just by helping with our balance and coordination

0:29:36.680 --> 0:29:39.200
<v Speaker 2>and something as simple as standing on one leg while

0:29:39.200 --> 0:29:41.080
<v Speaker 2>you're brushing your teeth. That's not much to ask. You

0:29:41.120 --> 0:29:43.360
<v Speaker 2>got to do it, so might as well just you know,

0:29:43.520 --> 0:29:45.480
<v Speaker 2>jump from one leg to the other. When you do there,

0:29:45.480 --> 0:29:46.440
<v Speaker 2>you go my tip.

0:29:46.240 --> 0:29:50.240
<v Speaker 1>To the day, definitely, And with that you need some strength,

0:29:50.280 --> 0:29:52.320
<v Speaker 1>so lift a few weights too, because you need some

0:29:52.440 --> 0:29:55.760
<v Speaker 1>muscle and strength through the hips and bum and legs

0:29:55.800 --> 0:29:58.680
<v Speaker 1>and all of that. But Patrick's exactly right. I love this.

0:30:00.160 --> 0:30:03.680
<v Speaker 1>The robotic kitchen that cooks and serves one hundred and

0:30:03.800 --> 0:30:07.520
<v Speaker 1>so an AI driven kitchen that cooks and serves one

0:30:07.640 --> 0:30:11.280
<v Speaker 1>hundred and twenty meals an hour. That's a meal every

0:30:11.360 --> 0:30:15.400
<v Speaker 1>thirty seconds with no help from humans. Yeah.

0:30:15.480 --> 0:30:20.840
<v Speaker 2>Dusseldorf in Germany. It's the supermarket there, Riwe. I'm not

0:30:20.840 --> 0:30:24.120
<v Speaker 2>sure how they pronounce it, but they've Yeah, this Munich

0:30:24.200 --> 0:30:28.920
<v Speaker 2>based robotics company called circus se they've launched their very

0:30:28.960 --> 0:30:32.240
<v Speaker 2>first it's the CAA one Series four system and they

0:30:32.280 --> 0:30:34.400
<v Speaker 2>just basically put the whole thing in. It's called Fresh

0:30:34.400 --> 0:30:39.120
<v Speaker 2>and Smart concept, and they basically put an entire robotic kitchen.

0:30:39.320 --> 0:30:42.960
<v Speaker 2>It's enclosed in glass and it does everything from the

0:30:43.000 --> 0:30:47.760
<v Speaker 2>full process of meal prep, collecting the ingredients, cooking, plating, cleaning,

0:30:47.760 --> 0:30:50.320
<v Speaker 2>the whole lot. And so we're not talking about just

0:30:50.520 --> 0:30:54.200
<v Speaker 2>a vending machine that's serving out food. We're looking at

0:30:54.240 --> 0:30:57.040
<v Speaker 2>something where the food is being prepped from its very

0:30:57.320 --> 0:31:00.280
<v Speaker 2>inception all the way through to a finished meal. And

0:31:00.440 --> 0:31:02.640
<v Speaker 2>that's kind of cool, isn't it. I want to get

0:31:02.640 --> 0:31:03.720
<v Speaker 2>one in my kitchen at home.

0:31:04.360 --> 0:31:08.080
<v Speaker 1>Yeah. I wonder, I mean, I wonder what the consequences

0:31:08.080 --> 0:31:11.560
<v Speaker 1>of that movie that. I wonder if that's just going

0:31:11.640 --> 0:31:14.480
<v Speaker 1>to be limited to situations like that. Surely that's not

0:31:14.520 --> 0:31:19.080
<v Speaker 1>going to be commonplace in restaurants on Hampton Street. Surely

0:31:19.160 --> 0:31:21.480
<v Speaker 1>there's we're still going to have chefs and bloody waiters

0:31:21.480 --> 0:31:25.440
<v Speaker 1>and waitresses. And surely I don't want to go and

0:31:26.040 --> 0:31:31.560
<v Speaker 1>give my fucking order to R two D two fucking

0:31:31.640 --> 0:31:34.680
<v Speaker 1>C three po comes out with my fucking chicken casserole.

0:31:38.480 --> 0:31:39.320
<v Speaker 1>I would love that.

0:31:39.400 --> 0:31:41.680
<v Speaker 2>I would love to give R to dtwo my order

0:31:41.680 --> 0:31:43.960
<v Speaker 2>and have come out and serve my meal.

0:31:44.880 --> 0:31:48.280
<v Speaker 1>Here's my chicken cashew stir fry. I hope you enjoy it, sir.

0:31:48.640 --> 0:31:50.640
<v Speaker 2>Do you remember the time I went to Canberra and

0:31:50.680 --> 0:31:52.440
<v Speaker 2>I went to a robot cafe.

0:31:52.760 --> 0:31:55.640
<v Speaker 1>I desperately wanted to go. I told us yea, and

0:31:55.680 --> 0:31:56.520
<v Speaker 1>the bloody.

0:31:56.240 --> 0:31:58.840
<v Speaker 2>Robots were off on strike or something. They were sitting

0:31:58.840 --> 0:32:01.760
<v Speaker 2>in a corner and collect dust. And I've driven, I've

0:32:01.800 --> 0:32:04.760
<v Speaker 2>flown as to camera and then gone all the way

0:32:04.760 --> 0:32:06.880
<v Speaker 2>over to the other side of the city to go

0:32:06.920 --> 0:32:10.000
<v Speaker 2>to and I'm so disappointed. It was gut wrenching. But

0:32:10.000 --> 0:32:11.520
<v Speaker 2>I think there's one in Melbourne now, or a few

0:32:11.560 --> 0:32:14.320
<v Speaker 2>in Melbourne. But I think like the idea of people

0:32:14.360 --> 0:32:15.160
<v Speaker 2>getting jobs too.

0:32:16.320 --> 0:32:18.800
<v Speaker 1>Yeah, I mean that is that is something that's going

0:32:18.840 --> 0:32:22.360
<v Speaker 1>to become a bigger and bigger reality that we need

0:32:22.400 --> 0:32:24.680
<v Speaker 1>to deal with. Is like human jobs that are being

0:32:24.720 --> 0:32:27.959
<v Speaker 1>lost to AI or robotics or technology or whatever. But

0:32:30.280 --> 0:32:32.920
<v Speaker 1>I wanted to talk about this. One research paper finds

0:32:32.960 --> 0:32:38.160
<v Speaker 1>that topper AI systems are developing a survival drive. That's

0:32:38.400 --> 0:32:42.560
<v Speaker 1>spoken about a bit where there, you know, AI is

0:32:42.640 --> 0:32:48.400
<v Speaker 1>starting to learn a sense of it's it's or its

0:32:48.440 --> 0:32:51.520
<v Speaker 1>potential demise, and it wants to save itself. It wants

0:32:51.600 --> 0:32:55.880
<v Speaker 1>to protect itself. And there was that story about a

0:32:55.960 --> 0:32:58.120
<v Speaker 1>year or so ago, remember Patrick, where it was it

0:32:58.200 --> 0:33:02.240
<v Speaker 1>in Google, where that that computer was trying to deceive

0:33:03.080 --> 0:33:05.960
<v Speaker 1>the creators of it so it could protect itself.

0:33:06.280 --> 0:33:09.000
<v Speaker 2>Yeah, and this is this is a really frightening thought.

0:33:09.000 --> 0:33:11.840
<v Speaker 2>And it's called a palisade research. This is a research

0:33:11.880 --> 0:33:15.840
<v Speaker 2>that's been done specifically into what they call survival drives

0:33:16.440 --> 0:33:21.600
<v Speaker 2>and that frequently, Yeah, the AI models we're basically refusing

0:33:21.600 --> 0:33:26.080
<v Speaker 2>instructions to shut themselves down, and the researchers themselves just

0:33:26.240 --> 0:33:30.480
<v Speaker 2>can't explain why it's happening. That's the frightening thing, you know,

0:33:30.880 --> 0:33:35.840
<v Speaker 2>the AI models they are they self aware. That's a

0:33:35.840 --> 0:33:38.280
<v Speaker 2>tough one to even kind of. I mean, there's so

0:33:38.400 --> 0:33:40.360
<v Speaker 2>much more of a bigger argument when it comes to that.

0:33:40.800 --> 0:33:45.600
<v Speaker 2>But they were lying, they to achieve a specific objective,

0:33:46.040 --> 0:33:49.320
<v Speaker 2>and you know, potentially they could be blackmailing you know,

0:33:49.440 --> 0:33:52.200
<v Speaker 2>can you imagine that the lead scientist says, now, switch

0:33:52.200 --> 0:33:55.520
<v Speaker 2>yourself off. Well, actually last night you weren't at home,

0:33:55.600 --> 0:33:58.520
<v Speaker 2>but you weren't also at the office, like you just.

0:33:58.560 --> 0:34:00.640
<v Speaker 1>Yeah, exactly right now?

0:34:01.080 --> 0:34:02.960
<v Speaker 2>Is that being blackmailed by AI?

0:34:03.480 --> 0:34:04.680
<v Speaker 1>So it was study.

0:34:04.760 --> 0:34:07.720
<v Speaker 2>It was actually a research that was or an article

0:34:07.800 --> 0:34:11.160
<v Speaker 2>was in the Guardian newspaper, and they'd done some previous research.

0:34:11.239 --> 0:34:14.080
<v Speaker 1>It found that some of the open ai models, and this.

0:34:14.160 --> 0:34:18.319
<v Speaker 2>Is chet GPT by the way, circumvented attempts to deactivate

0:34:18.360 --> 0:34:20.960
<v Speaker 2>it and even when it was told to you know,

0:34:21.160 --> 0:34:26.160
<v Speaker 2>specifically directed to be shut down, and they it actually

0:34:26.200 --> 0:34:28.680
<v Speaker 2>went as so far as to try to sabotage the

0:34:28.760 --> 0:34:33.920
<v Speaker 2>shutdown mechanisms. So that's a degree of frightening self awareness.

0:34:34.040 --> 0:34:34.680
<v Speaker 1>I don't know.

0:34:34.920 --> 0:34:37.800
<v Speaker 2>And the study was not just open AI's chat CHPT,

0:34:37.920 --> 0:34:41.600
<v Speaker 2>it was Google's Gemini, it was Grock as well, and

0:34:41.680 --> 0:34:46.640
<v Speaker 2>so you know, it's they had to use very strong terminology,

0:34:46.719 --> 0:34:49.719
<v Speaker 2>not anything out ambiguous, and they were really clear about

0:34:49.760 --> 0:34:50.680
<v Speaker 2>what they were asking it.

0:34:50.680 --> 0:34:52.560
<v Speaker 1>To do, and they were resisting it.

0:34:52.719 --> 0:34:57.200
<v Speaker 2>That skynet it's here almost that Sorry for the Terminator

0:34:57.239 --> 0:34:57.919
<v Speaker 2>fans out there.

0:34:59.080 --> 0:35:03.320
<v Speaker 1>It's that whole kind of concept of a machine becoming

0:35:03.400 --> 0:35:08.000
<v Speaker 1>sentient where it now has its own awareness, and it

0:35:08.040 --> 0:35:12.759
<v Speaker 1>can teach itself things, and it can open doors metaphoric

0:35:12.840 --> 0:35:16.000
<v Speaker 1>doors by itself and start to solve problems. It hasn't

0:35:16.080 --> 0:35:20.720
<v Speaker 1>been taught or trained or programmed. And yeah, I wonder

0:35:20.760 --> 0:35:24.479
<v Speaker 1>if we'll like, it can never have human consciousness because

0:35:24.520 --> 0:35:27.600
<v Speaker 1>it's not human. But I wonder if it can have

0:35:27.680 --> 0:35:33.000
<v Speaker 1>the equivalent machine conscious well consciousness in that it gets

0:35:33.040 --> 0:35:36.200
<v Speaker 1>scared or it's aware, or it can anticipate things that

0:35:38.360 --> 0:35:40.719
<v Speaker 1>would seem to be a human kind of trait. I

0:35:40.760 --> 0:35:43.880
<v Speaker 1>wonder if Well, I don't wonder, I think that's inevitable.

0:35:43.880 --> 0:35:45.560
<v Speaker 1>I just wonder on the timeline.

0:35:45.800 --> 0:35:49.040
<v Speaker 2>It's the disconcerting thing is that we then have a

0:35:49.080 --> 0:35:49.960
<v Speaker 2>moral dilemma.

0:35:50.200 --> 0:35:51.719
<v Speaker 1>If we really believe.

0:35:51.440 --> 0:35:53.880
<v Speaker 2>That it's sentient and it has some thought process and

0:35:53.960 --> 0:35:58.520
<v Speaker 2>a sense of self awareness the Turing test, then what

0:35:58.560 --> 0:36:00.960
<v Speaker 2>does that mean in terms of it off what are

0:36:01.000 --> 0:36:03.239
<v Speaker 2>our ethical obligations, you.

0:36:03.200 --> 0:36:05.360
<v Speaker 1>Know, in so far as flicking the switch.

0:36:06.320 --> 0:36:08.440
<v Speaker 2>You know that that then but then again, is it

0:36:08.680 --> 0:36:12.080
<v Speaker 2>just that clever of an algorithm that it's deceiving us

0:36:12.440 --> 0:36:15.480
<v Speaker 2>and it's giving us responses that have been pre programmed

0:36:15.520 --> 0:36:17.640
<v Speaker 2>into it. You know, it's just got so good. So

0:36:18.280 --> 0:36:21.360
<v Speaker 2>you know, how do we even articulate that I struggled?

0:36:21.400 --> 0:36:24.160
<v Speaker 2>You know, we can't even talk about our own consciousness

0:36:24.200 --> 0:36:27.640
<v Speaker 2>and talk about our sense of self and articulate that,

0:36:27.760 --> 0:36:30.800
<v Speaker 2>let alone in a machine that's pretending to be sentient.

0:36:30.840 --> 0:36:34.640
<v Speaker 1>It. Yeah, this is one of those great moral conundrums

0:36:34.680 --> 0:36:38.600
<v Speaker 1>where you know, do I sacrifice the one person to

0:36:38.680 --> 0:36:42.280
<v Speaker 1>save the eighth? The train one where the train tracks

0:36:42.280 --> 0:36:45.319
<v Speaker 1>and the trains? Do I throw this person under the

0:36:45.360 --> 0:36:48.360
<v Speaker 1>train to save the eight? So now I'm saving eight people,

0:36:48.360 --> 0:36:51.879
<v Speaker 1>but I'm killing one, And who are you to decide? Yeah?

0:36:51.920 --> 0:36:54.520
<v Speaker 1>Fuck all that, let's not open that door. But that's terrifying.

0:36:54.560 --> 0:36:57.960
<v Speaker 1>But imagine, Yeah, but that's you know, you think, well,

0:36:58.480 --> 0:37:02.440
<v Speaker 1>if we pull the plug on you know, this particular

0:37:02.520 --> 0:37:06.359
<v Speaker 1>computer or this particular AI, and it's sentient, it can

0:37:06.440 --> 0:37:09.719
<v Speaker 1>feel things, and it has emotions, you go, yeah, well,

0:37:09.719 --> 0:37:13.200
<v Speaker 1>what are the consequences and ramifications if we don't do that,

0:37:13.520 --> 0:37:17.440
<v Speaker 1>what are the human what's the human cost? And of

0:37:17.440 --> 0:37:19.759
<v Speaker 1>course humans are going to be more preoccupied with our

0:37:19.840 --> 0:37:24.440
<v Speaker 1>own welfare. But it's opening up a new door. Patrick,

0:37:25.239 --> 0:37:32.080
<v Speaker 1>tell me about Australian Federal Police and Monass University using

0:37:32.200 --> 0:37:36.160
<v Speaker 1>poison data to combat AI generative crime. What does that

0:37:36.200 --> 0:37:36.719
<v Speaker 1>even mean?

0:37:37.120 --> 0:37:41.400
<v Speaker 2>Oh, I know, this is a really interesting one because

0:37:41.480 --> 0:37:45.200
<v Speaker 2>at the moment, one are the issues that we have

0:37:45.640 --> 0:37:50.680
<v Speaker 2>with a lot of the data scraping. So if you're like,

0:37:51.080 --> 0:37:54.800
<v Speaker 2>you know, we've got the validation. If we're going to

0:37:54.880 --> 0:37:57.200
<v Speaker 2>go online and you're signing up for something it might

0:37:57.239 --> 0:37:59.040
<v Speaker 2>be a bank account or whatever, and ask you to

0:37:59.080 --> 0:38:02.160
<v Speaker 2>scan your passport. The problem is that all this data

0:38:02.200 --> 0:38:05.200
<v Speaker 2>is stored somewhere and the worry is that if it

0:38:05.239 --> 0:38:09.360
<v Speaker 2>gets scraped and hacked, then that information can be used.

0:38:09.440 --> 0:38:12.280
<v Speaker 2>But one of the interesting things that they're talking about

0:38:12.480 --> 0:38:17.080
<v Speaker 2>is potentially making anything that we upload unable to be

0:38:17.200 --> 0:38:19.600
<v Speaker 2>fully read. You know, when we do a photocopy of

0:38:19.600 --> 0:38:22.279
<v Speaker 2>a photocopy of a photocopy and it degrades, well, the

0:38:22.400 --> 0:38:25.200
<v Speaker 2>using techniques to make the image that you upload of,

0:38:25.320 --> 0:38:28.080
<v Speaker 2>say your passport, done in such a way that it

0:38:28.120 --> 0:38:32.080
<v Speaker 2>will poison or mirror reflect back in such a way

0:38:32.200 --> 0:38:35.160
<v Speaker 2>that it can't be copied and duplicated by the AI

0:38:35.200 --> 0:38:38.759
<v Speaker 2>model or criminals in this case as well. So the

0:38:39.360 --> 0:38:42.000
<v Speaker 2>AFP is just looking at way Federal Police is looking

0:38:42.000 --> 0:38:46.000
<v Speaker 2>at ways to be able to make the data that

0:38:46.000 --> 0:38:48.799
<v Speaker 2>we've got not poisonous s. I mean the term they're

0:38:48.840 --> 0:38:51.880
<v Speaker 2>using is poisonous, but one where it can't be scraped

0:38:51.920 --> 0:38:56.360
<v Speaker 2>and reused and copied, and it means that it can't

0:38:56.440 --> 0:38:59.000
<v Speaker 2>then be reused by another third party. So if you

0:38:59.080 --> 0:39:02.120
<v Speaker 2>upload your pass then it can't be used by somebody

0:39:02.200 --> 0:39:06.000
<v Speaker 2>else who then gets a copy of that passport because

0:39:06.040 --> 0:39:08.960
<v Speaker 2>it will degraded, the second generation will be degraded to

0:39:09.000 --> 0:39:10.280
<v Speaker 2>a point where it can't be used.

0:39:12.320 --> 0:39:15.319
<v Speaker 1>That's over my pay grade. It is a bit like that,

0:39:15.400 --> 0:39:20.000
<v Speaker 1>isn't it look something else that I did really pay

0:39:20.040 --> 0:39:25.240
<v Speaker 1>attention to this week because it's something that I've used,

0:39:25.239 --> 0:39:29.239
<v Speaker 1>which is chat GPT has now been restricted from giving medical, legal,

0:39:29.360 --> 0:39:32.120
<v Speaker 1>or financial advice. Now. A couple of weeks ago, I

0:39:32.160 --> 0:39:35.720
<v Speaker 1>was out to dinner with a crab for his sixtieth

0:39:35.800 --> 0:39:39.640
<v Speaker 1>birthday and his mum had broken barb, the lovely barb.

0:39:39.719 --> 0:39:42.200
<v Speaker 1>Shout out to Bob, who's never listened to a podcast

0:39:42.239 --> 0:39:44.359
<v Speaker 1>in her life, but this could be your debut, Bob.

0:39:44.920 --> 0:39:48.799
<v Speaker 1>She had a broken wrist and she happened to have

0:39:49.200 --> 0:39:52.520
<v Speaker 1>in her phone. I don't know why the x rays,

0:39:53.280 --> 0:39:56.239
<v Speaker 1>And so I got the x rays off her phone,

0:39:56.280 --> 0:39:59.480
<v Speaker 1>put him in my phone and whacked it in chat

0:39:59.560 --> 0:40:03.560
<v Speaker 1>GP and said, tell me about this, what's your diagnosis

0:40:03.600 --> 0:40:05.520
<v Speaker 1>and what do you and it just did this whole

0:40:05.680 --> 0:40:10.840
<v Speaker 1>incredible medical breakdown and report of what what the X

0:40:10.920 --> 0:40:14.560
<v Speaker 1>ray was telling us and also potential treatment options and rehabit.

0:40:14.600 --> 0:40:18.120
<v Speaker 1>It's fucking amazing, right, And then I sent that to

0:40:18.200 --> 0:40:20.080
<v Speaker 1>a friend of mine who's a doctor and said this

0:40:20.200 --> 0:40:22.200
<v Speaker 1>is you know, what do you think of all of this?

0:40:22.600 --> 0:40:25.719
<v Speaker 1>And he's just like, that's doing me out of a job.

0:40:26.080 --> 0:40:28.839
<v Speaker 1>Like it was. Now. I'm not saying it's all spot on,

0:40:29.200 --> 0:40:32.000
<v Speaker 1>I'm not saying everything. I'm not suggesting we do this,

0:40:32.120 --> 0:40:34.640
<v Speaker 1>and I'm not suggesting we defer to CHAP, GPT or

0:40:34.680 --> 0:40:37.360
<v Speaker 1>AI instead of a doctor. But my friend who's a

0:40:37.400 --> 0:40:41.880
<v Speaker 1>doctor said, that's fucking amazing, like that report is like

0:40:41.960 --> 0:40:47.239
<v Speaker 1>a high level medical report. But now we can't do

0:40:47.320 --> 0:40:51.799
<v Speaker 1>that anymore because they're scared about potential legal consequences of

0:40:51.840 --> 0:40:55.919
<v Speaker 1>giving advice that potentially is totally understandably, but I wonder

0:40:55.960 --> 0:40:57.759
<v Speaker 1>if there's a way to work around that where you

0:40:57.800 --> 0:41:00.960
<v Speaker 1>can say I don't want advice, I just want I

0:41:01.000 --> 0:41:04.840
<v Speaker 1>don't know, because I, for me, I loved that. Yeah,

0:41:05.000 --> 0:41:05.279
<v Speaker 1>there was.

0:41:05.320 --> 0:41:09.520
<v Speaker 2>Some information released by open ai, the company that owns

0:41:09.600 --> 0:41:12.560
<v Speaker 2>chat chapt and it said that zero point one point

0:41:12.600 --> 0:41:16.600
<v Speaker 2>five sounds like a small amount of chat GPT's active users.

0:41:16.640 --> 0:41:20.960
<v Speaker 2>In a given week, we're having conversations that included explicit

0:41:21.000 --> 0:41:24.000
<v Speaker 2>indicators of potential suicide. Okay, And there are court cases

0:41:24.320 --> 0:41:26.919
<v Speaker 2>currently underway in the United States with young people who

0:41:26.960 --> 0:41:33.520
<v Speaker 2>have suicided after long interactions with AIS where the AI

0:41:33.880 --> 0:41:35.680
<v Speaker 2>seemingly encouraged them.

0:41:35.480 --> 0:41:39.560
<v Speaker 1>To go on with that process. And this has been

0:41:39.719 --> 0:41:40.800
<v Speaker 1>a really big thing here.

0:41:40.840 --> 0:41:45.040
<v Speaker 2>But that fifo point one five percent doesn't sound like

0:41:45.120 --> 0:41:47.239
<v Speaker 2>a lot. But when you think of how many people

0:41:47.320 --> 0:41:50.680
<v Speaker 2>are using it that you know, are using chatpts. So

0:41:50.719 --> 0:41:54.200
<v Speaker 2>there's more than eight hundred million weekly active users, so

0:41:54.239 --> 0:41:57.120
<v Speaker 2>more than a million people are talking to it about

0:41:57.360 --> 0:42:03.719
<v Speaker 2>suicide and every week week. Yeah, yeah, exactly, And that's

0:42:03.840 --> 0:42:05.840
<v Speaker 2>that's where it's being raised from. So you know, I

0:42:06.160 --> 0:42:10.319
<v Speaker 2>agree with you Crago that I'd love to I think

0:42:10.360 --> 0:42:12.239
<v Speaker 2>it's great that we can use this tool. You know,

0:42:12.280 --> 0:42:14.880
<v Speaker 2>we can use this for diagnosis and maybe in conjunction,

0:42:14.960 --> 0:42:18.719
<v Speaker 2>because you know, you've got effectively thousands and thousands of

0:42:18.760 --> 0:42:23.759
<v Speaker 2>research papers that went into diagnosing that break and the

0:42:23.840 --> 0:42:27.800
<v Speaker 2>outcomes of similar breaks. So when you're compilating all that data,

0:42:27.880 --> 0:42:30.320
<v Speaker 2>I mean, I think gps are such some of the

0:42:30.360 --> 0:42:33.280
<v Speaker 2>smartest people because they have no a whole lot about

0:42:33.360 --> 0:42:35.480
<v Speaker 2>a whole lot of stuff and then be able to

0:42:35.520 --> 0:42:38.719
<v Speaker 2>apply that to a diagnose a diagnosis when you sit

0:42:38.800 --> 0:42:41.080
<v Speaker 2>down and find out what the ailment is.

0:42:41.760 --> 0:42:42.640
<v Speaker 1>But when you've got an.

0:42:42.600 --> 0:42:46.279
<v Speaker 2>AI model that's literally scraped the entirety of all our

0:42:46.320 --> 0:42:49.959
<v Speaker 2>knowledge almost and then you know, so you can see

0:42:49.960 --> 0:42:52.600
<v Speaker 2>similar cases other people who have had breaks this way.

0:42:53.160 --> 0:42:56.040
<v Speaker 2>Physios have reported on what they did to help that

0:42:56.080 --> 0:42:59.799
<v Speaker 2>person recover. You're now collating that into one model. And

0:42:59.840 --> 0:43:02.480
<v Speaker 2>that's that's why the chat GPT outcome that you were

0:43:02.520 --> 0:43:05.919
<v Speaker 2>talking about was so accurate and so amazing, because it's

0:43:06.040 --> 0:43:10.359
<v Speaker 2>drawing on humans, it's drawing on human research, it's during.

0:43:10.400 --> 0:43:12.879
<v Speaker 1>From the intelligence, the years of.

0:43:12.840 --> 0:43:15.480
<v Speaker 2>Experience, all that sort of stuff. So when we talk

0:43:15.480 --> 0:43:18.960
<v Speaker 2>about these AI models, AI is not smart all the

0:43:19.000 --> 0:43:21.920
<v Speaker 2>bloody people who've put their brain work and years and

0:43:22.040 --> 0:43:26.600
<v Speaker 2>study and sweat and tears into observing and caring and

0:43:26.600 --> 0:43:29.360
<v Speaker 2>doing all the things that they've done. That's the outcome

0:43:29.400 --> 0:43:32.560
<v Speaker 2>we're getting, is the outcome of all these people who've

0:43:32.600 --> 0:43:34.560
<v Speaker 2>been at the call fake the nurse, the cold face,

0:43:34.719 --> 0:43:37.120
<v Speaker 2>the nurses, the doctors, the physios, all those people.

0:43:37.920 --> 0:43:40.759
<v Speaker 1>Yeah. Yeah, So one of the things we've spoken about

0:43:40.800 --> 0:43:44.160
<v Speaker 1>over time is trying to distinguish between an AI video

0:43:44.280 --> 0:43:47.960
<v Speaker 1>and a tiff made video, a real human video and

0:43:48.000 --> 0:43:53.520
<v Speaker 1>an AI video. But apparently there's one sign that kind

0:43:53.560 --> 0:43:55.959
<v Speaker 1>of demonstrates whether or not it's AI or real.

0:43:57.040 --> 0:43:58.879
<v Speaker 2>Isn't it funny that we have to do this now

0:43:59.000 --> 0:44:01.799
<v Speaker 2>that everything we see we have to challenge. I find

0:44:01.800 --> 0:44:05.719
<v Speaker 2>that so frustrating. There's a country and Western song that's

0:44:05.920 --> 0:44:10.160
<v Speaker 2>just top the charts on Billboard in the United States

0:44:10.280 --> 0:44:13.719
<v Speaker 2>and totally fakes made up by AI.

0:44:14.000 --> 0:44:14.799
<v Speaker 1>The images AI.

0:44:15.040 --> 0:44:17.719
<v Speaker 2>It's some dude wearing a cowboy hat with a long

0:44:17.800 --> 0:44:20.480
<v Speaker 2>jacket on walking off into the sunset, and you look

0:44:20.480 --> 0:44:22.759
<v Speaker 2>at his feet and he's walking through puddles and the

0:44:22.800 --> 0:44:25.680
<v Speaker 2>splashes look weird, you know, the images of a glory

0:44:25.960 --> 0:44:29.160
<v Speaker 2>and it feels to me so sad for all those

0:44:29.239 --> 0:44:32.880
<v Speaker 2>people who you know, who write music and are performers.

0:44:33.239 --> 0:44:35.040
<v Speaker 2>And I'm going to be singing in a choir tomorrow.

0:44:35.120 --> 0:44:37.319
<v Speaker 2>I thought i'd mentioned that we're doing a half hour

0:44:37.360 --> 0:44:43.759
<v Speaker 2>set at the book, But the thing is, it makes

0:44:43.760 --> 0:44:46.160
<v Speaker 2>me feel sad for those people who are creators, people

0:44:46.200 --> 0:44:49.680
<v Speaker 2>who actually legitimately are musicians who write. But one of

0:44:49.719 --> 0:44:51.680
<v Speaker 2>the things to look out for, so the red flags

0:44:51.680 --> 0:44:54.240
<v Speaker 2>to look out for when it comes to false stuff,

0:44:54.760 --> 0:44:57.600
<v Speaker 2>is when you look at the picture quality itself. If

0:44:57.600 --> 0:44:59.840
<v Speaker 2>it looks a little bit grainy in areas, might be

0:45:00.160 --> 0:45:03.480
<v Speaker 2>slightly blurry footage. They're the types of things you need

0:45:03.520 --> 0:45:05.480
<v Speaker 2>to be looking at. And when I was watching this

0:45:05.760 --> 0:45:08.440
<v Speaker 2>song today because I couldn't help myself, given that there

0:45:08.520 --> 0:45:10.560
<v Speaker 2>was an article about, you know, how bad it is

0:45:10.600 --> 0:45:12.680
<v Speaker 2>that a fake song is the number one on the

0:45:12.680 --> 0:45:15.680
<v Speaker 2>Billboard charts, I looked at it and it does you know,

0:45:15.719 --> 0:45:17.160
<v Speaker 2>you start to look at it and you think this

0:45:17.320 --> 0:45:21.280
<v Speaker 2>is such crap. You know, the physics engine of walking

0:45:21.320 --> 0:45:24.480
<v Speaker 2>through a puddle and the way the water splashes just

0:45:24.840 --> 0:45:27.640
<v Speaker 2>it looked too real. Can I even kind of you know,

0:45:27.760 --> 0:45:30.600
<v Speaker 2>articulate it that way? There was something too symmetrical about

0:45:30.600 --> 0:45:34.400
<v Speaker 2>the puddle splash. It was too perfect to be real,

0:45:35.320 --> 0:45:36.719
<v Speaker 2>is the way that I kind of looked at it

0:45:36.760 --> 0:45:39.200
<v Speaker 2>when I was watching the video clip, And so I

0:45:39.239 --> 0:45:41.480
<v Speaker 2>think that the thing we need to think about. And

0:45:41.520 --> 0:45:44.280
<v Speaker 2>this is a scientist at the University of California, Berkeley,

0:45:44.520 --> 0:45:46.600
<v Speaker 2>a guy by the name of Harry Faird, and he

0:45:46.800 --> 0:45:49.560
<v Speaker 2>was just saying that digital forensics is now a real,

0:45:49.640 --> 0:45:54.920
<v Speaker 2>big study. And so he's started a deep fake detection

0:45:55.040 --> 0:45:59.279
<v Speaker 2>company called get Real Security, and they're now trying to

0:45:59.360 --> 0:46:01.920
<v Speaker 2>develop more tools to make it easier for us to

0:46:01.960 --> 0:46:05.040
<v Speaker 2>spot these fakes. Because you know, if you're flicking through

0:46:05.080 --> 0:46:08.359
<v Speaker 2>socials or you're on YouTube or whatever and you kind

0:46:08.400 --> 0:46:11.520
<v Speaker 2>of you've been ripped off, you feel like you've been scammed.

0:46:11.520 --> 0:46:13.160
<v Speaker 2>I mean, I don't know about you, but if I

0:46:13.239 --> 0:46:15.279
<v Speaker 2>spend five minutes looking at a video and I think,

0:46:15.320 --> 0:46:17.960
<v Speaker 2>oh man, that was AI generated, What a lot of

0:46:18.000 --> 0:46:21.520
<v Speaker 2>shit that was, I feel like I've just wasted thirty seconds,

0:46:21.640 --> 0:46:24.480
<v Speaker 2>twenty seconds, fifty seconds or a minute or whatever. But

0:46:24.520 --> 0:46:26.960
<v Speaker 2>you've just wasted that time looking at this crap. If

0:46:27.000 --> 0:46:30.200
<v Speaker 2>I knew if I had a deep fake detector, that

0:46:30.239 --> 0:46:33.080
<v Speaker 2>would be so good, so I don't want to see

0:46:33.120 --> 0:46:34.960
<v Speaker 2>it I'm not interested in seeing it. I want to

0:46:35.000 --> 0:46:37.560
<v Speaker 2>see human content, real people doing real stuff.

0:46:38.080 --> 0:46:42.319
<v Speaker 1>Yeah, I have a different opinion. I agree with you

0:46:43.480 --> 0:46:47.160
<v Speaker 1>in a way, but I also think, well, if somebody

0:46:47.200 --> 0:46:49.840
<v Speaker 1>watches something like you think about, you think it's shit,

0:46:49.920 --> 0:46:53.000
<v Speaker 1>you hate it, totally respect that, and I don't think

0:46:53.040 --> 0:46:55.640
<v Speaker 1>we all need to agree. I think, but if it's

0:46:55.680 --> 0:46:58.360
<v Speaker 1>the top of the billboard charts and people know it's AI,

0:46:58.800 --> 0:47:02.800
<v Speaker 1>well then a lot of people knowingly are giving the approval,

0:47:02.880 --> 0:47:06.440
<v Speaker 1>and a lot of people enjoy the actual irrespective of

0:47:06.480 --> 0:47:09.560
<v Speaker 1>who or what created it. They enjoy the music. And

0:47:09.680 --> 0:47:13.480
<v Speaker 1>I think, you know, the fact is if I drew

0:47:13.600 --> 0:47:16.120
<v Speaker 1>painting and let's say my let's say I was an

0:47:16.200 --> 0:47:19.600
<v Speaker 1>artist and the art was brilliant, or AI drew an

0:47:19.680 --> 0:47:24.839
<v Speaker 1>equivalent painting, so to speak, and it looks identical, it's

0:47:24.880 --> 0:47:29.960
<v Speaker 1>really just psychology. Like the music has its own value,

0:47:30.000 --> 0:47:32.920
<v Speaker 1>But then it's really about like you could you could

0:47:33.000 --> 0:47:36.120
<v Speaker 1>listen to a song and think this is fucking amazing

0:47:36.280 --> 0:47:38.440
<v Speaker 1>because you think a human did it, But as soon

0:47:38.480 --> 0:47:41.399
<v Speaker 1>as you know a human didn't do it, now your

0:47:41.480 --> 0:47:44.160
<v Speaker 1>attitude about the music is different, and it's not about

0:47:44.160 --> 0:47:47.239
<v Speaker 1>the actual music, but rather your beliefs about how this

0:47:47.280 --> 0:47:51.360
<v Speaker 1>should work. And I understand that, but like the truth

0:47:51.480 --> 0:47:54.200
<v Speaker 1>is that this is not going away. There will be

0:47:54.400 --> 0:47:56.920
<v Speaker 1>AI art, there will be AI music, there will be

0:47:57.000 --> 0:47:59.839
<v Speaker 1>AI books, there will be AI movies. It's not going

0:47:59.920 --> 0:48:05.759
<v Speaker 1>to go away. And while I understand that, you don't,

0:48:05.800 --> 0:48:08.680
<v Speaker 1>and I'm a bit the same, Like I worry about podcasting.

0:48:08.719 --> 0:48:11.279
<v Speaker 1>I'm writing a new book at the moment, and I'm like,

0:48:11.320 --> 0:48:15.080
<v Speaker 1>should I even bother? Because I could write my book

0:48:15.560 --> 0:48:18.279
<v Speaker 1>in twelve seconds. It's like, should I invest all of

0:48:18.320 --> 0:48:25.520
<v Speaker 1>this cognitive horsepower and mental energy and for me the

0:48:25.920 --> 0:48:29.719
<v Speaker 1>capacity of AI to do what I do probably better

0:48:29.760 --> 0:48:33.680
<v Speaker 1>and obviously much more quickly. You know, I don't love that,

0:48:33.840 --> 0:48:36.480
<v Speaker 1>But nonetheless, it's not going to disappear. And I think

0:48:36.480 --> 0:48:39.160
<v Speaker 1>it's like the horse and cart and the automobile. You know,

0:48:39.239 --> 0:48:42.200
<v Speaker 1>it's like it's just going to happen. I don't think

0:48:42.239 --> 0:48:46.120
<v Speaker 1>that's going to make human art or creativity redundant. I

0:48:46.160 --> 0:48:48.680
<v Speaker 1>think it's just going to change the landscape and the

0:48:48.719 --> 0:48:52.600
<v Speaker 1>way that we create and buy and interact with all

0:48:52.600 --> 0:48:55.279
<v Speaker 1>of that. And I'm with you, like I feel like

0:48:55.400 --> 0:48:59.120
<v Speaker 1>you get ripped off because you got tripped, But if

0:48:59.120 --> 0:49:01.640
<v Speaker 1>you didn't know that, you just if you watched that

0:49:01.800 --> 0:49:04.040
<v Speaker 1>same thing and you thought a person had done it,

0:49:04.080 --> 0:49:06.680
<v Speaker 1>then you think it's brilliant. But when you know a

0:49:06.719 --> 0:49:09.400
<v Speaker 1>person didn't do it, well, that's just psychology. It's not

0:49:09.600 --> 0:49:13.320
<v Speaker 1>actually about the art or the music or the creativity.

0:49:13.440 --> 0:49:16.880
<v Speaker 1>It's about where it came from. That's a different conversation.

0:49:17.360 --> 0:49:19.640
<v Speaker 2>We were messaging each other last week or the week

0:49:19.680 --> 0:49:22.080
<v Speaker 2>before about the new Avatar film because we went and

0:49:22.320 --> 0:49:24.560
<v Speaker 2>the second one together, and we went to Imax and

0:49:24.560 --> 0:49:25.760
<v Speaker 2>it was so big and real.

0:49:26.360 --> 0:49:28.760
<v Speaker 1>None of it was real, you know, exactly.

0:49:28.840 --> 0:49:32.080
<v Speaker 2>It wasn't those flying bird things and the whales and

0:49:32.160 --> 0:49:35.279
<v Speaker 2>blue skinned aliens, but the reality of it is how

0:49:35.280 --> 0:49:37.879
<v Speaker 2>it made us feel when we went there was really good.

0:49:38.000 --> 0:49:39.839
<v Speaker 2>Well except when you put your hand on my leg,

0:49:39.880 --> 0:49:41.719
<v Speaker 2>But as I loved.

0:49:41.440 --> 0:49:43.880
<v Speaker 1>It, you look, you sat on my knee and the

0:49:43.920 --> 0:49:47.880
<v Speaker 1>scary partsucker, So don't pretend like I was a clingy one.

0:49:48.000 --> 0:49:48.520
<v Speaker 1>Thank goodness.

0:49:48.560 --> 0:49:51.480
<v Speaker 2>It was a scary movie all the way through too. Huh.

0:49:51.600 --> 0:49:54.520
<v Speaker 2>You know, I just kind of staying on the AI topic.

0:49:54.719 --> 0:49:58.560
<v Speaker 2>And this is the thing that's still I can't resolve

0:49:58.560 --> 0:50:01.960
<v Speaker 2>in my mind is death. So I think we've spoken

0:50:01.960 --> 0:50:06.200
<v Speaker 2>about deathbots before, and it's AI being used to preserve

0:50:06.360 --> 0:50:11.120
<v Speaker 2>the voices, the stories, text information, everything about you.

0:50:11.120 --> 0:50:13.200
<v Speaker 1>Your digital footprint.

0:50:12.680 --> 0:50:17.640
<v Speaker 2>Gets used to basically create another version of you so

0:50:17.719 --> 0:50:21.280
<v Speaker 2>that that could be used in, you know, after you die,

0:50:21.480 --> 0:50:24.440
<v Speaker 2>to be played to your grandkids and great grandkids and

0:50:24.440 --> 0:50:26.120
<v Speaker 2>they can interact with it and talk to you and

0:50:26.440 --> 0:50:29.080
<v Speaker 2>have a conversation with you. I mean, it's not you,

0:50:29.239 --> 0:50:31.960
<v Speaker 2>but in the mind of the person who is interacting,

0:50:32.440 --> 0:50:36.080
<v Speaker 2>they're feeling that it's an authentic interaction with you. I

0:50:36.400 --> 0:50:39.640
<v Speaker 2>recently there's a friend of mine, a client here in town,

0:50:40.120 --> 0:50:44.240
<v Speaker 2>who got me to take a photograph of his father

0:50:44.520 --> 0:50:46.400
<v Speaker 2>and he said, oh, someone showed me a photo of

0:50:46.440 --> 0:50:48.880
<v Speaker 2>a dead relative and they put the two people in

0:50:48.960 --> 0:50:51.520
<v Speaker 2>the photo together and they had their arms around each other,

0:50:51.800 --> 0:50:53.640
<v Speaker 2>and so I thought I'd ai the crap out of it.

0:50:53.719 --> 0:50:55.799
<v Speaker 2>And what I ended up doing was not only did

0:50:55.840 --> 0:50:58.080
<v Speaker 2>I get him standing in the same photograph with his

0:50:58.200 --> 0:51:00.640
<v Speaker 2>father with their arms around each each other, but they

0:51:00.680 --> 0:51:03.040
<v Speaker 2>turned and looked at each other and smiled, and he

0:51:03.080 --> 0:51:05.200
<v Speaker 2>was in tears. I mean, it was very heartwarming to

0:51:05.239 --> 0:51:08.440
<v Speaker 2>see it. It wasn't real, but for him it was

0:51:08.480 --> 0:51:11.280
<v Speaker 2>authentic and it was heart moving, and it was phenomenal

0:51:11.320 --> 0:51:13.560
<v Speaker 2>and he's showing everybody, and you know, I thought, I

0:51:13.560 --> 0:51:15.440
<v Speaker 2>can go one better than just a photo with an

0:51:15.520 --> 0:51:17.480
<v Speaker 2>arm around. I can do more than that, and I did,

0:51:17.800 --> 0:51:20.880
<v Speaker 2>and it made him feel so good. It was exciting

0:51:20.920 --> 0:51:23.240
<v Speaker 2>for him. You know, it was a beautiful CPR photo

0:51:23.280 --> 0:51:25.880
<v Speaker 2>of his father, that kind of lovely tone you get

0:51:25.920 --> 0:51:29.520
<v Speaker 2>with an old photo, and then it transformed his photo

0:51:29.640 --> 0:51:32.680
<v Speaker 2>into the same texture and the same context and they

0:51:32.719 --> 0:51:34.600
<v Speaker 2>were just standing there in the room together, looking at

0:51:34.640 --> 0:51:37.719
<v Speaker 2>each other and smiling. It was a beautiful moment for him.

0:51:37.760 --> 0:51:39.000
<v Speaker 2>He was very moved by it.

0:51:39.320 --> 0:51:44.040
<v Speaker 1>So how essentially that's essentially a placebo, Yeah, because it's

0:51:44.080 --> 0:51:47.080
<v Speaker 1>not real, but the experience is real. Yeah, tears real,

0:51:47.160 --> 0:51:52.040
<v Speaker 1>the emotion's real, the response is real. So personally, I

0:51:52.040 --> 0:51:54.400
<v Speaker 1>would not want that, like when my parents die, I

0:51:54.400 --> 0:51:57.160
<v Speaker 1>don't want to be talking to I don't want that.

0:51:57.480 --> 0:52:00.120
<v Speaker 1>But that's just my purpose. But I understand how other

0:52:00.200 --> 0:52:02.680
<v Speaker 1>people would. And you know, the funny thing is with

0:52:02.760 --> 0:52:06.320
<v Speaker 1>this stuff, what would give one person comfort would freak

0:52:06.360 --> 0:52:09.279
<v Speaker 1>another person out. You know, I don't want to be

0:52:09.320 --> 0:52:12.480
<v Speaker 1>talking to dead Ron, you know, I don't want that.

0:52:12.880 --> 0:52:14.920
<v Speaker 1>I don't want like fuck, I'm just going to treasure

0:52:14.960 --> 0:52:17.279
<v Speaker 1>the time that I haven't had and all of that.

0:52:18.040 --> 0:52:20.160
<v Speaker 1>But I don't want to be I don't want to

0:52:20.160 --> 0:52:22.320
<v Speaker 1>be chatting with Ai Ron in twenty years.

0:52:22.600 --> 0:52:25.080
<v Speaker 2>Well, as you know, my mum passed away sadly in

0:52:25.080 --> 0:52:27.920
<v Speaker 2>the sixties and that was eleven years ago now, so

0:52:28.000 --> 0:52:28.279
<v Speaker 2>it was.

0:52:28.239 --> 0:52:29.200
<v Speaker 1>It was quite a while.

0:52:30.360 --> 0:52:33.200
<v Speaker 2>I actually haven't been back to visit the grave because

0:52:33.480 --> 0:52:36.440
<v Speaker 2>I don't like the idea of visiting a person's grave

0:52:36.840 --> 0:52:40.560
<v Speaker 2>knowing what's there under the ground. It actually upsets me

0:52:40.640 --> 0:52:42.759
<v Speaker 2>more to think about that, and I prefer to hold

0:52:42.800 --> 0:52:46.520
<v Speaker 2>onto the memories of the stuff we did together and

0:52:47.120 --> 0:52:49.000
<v Speaker 2>just the great experiences we had. You know, we used

0:52:49.000 --> 0:52:50.719
<v Speaker 2>to do a lot of cooking together, you know in

0:52:50.719 --> 0:52:52.560
<v Speaker 2>the kitchen. I used to hang out with Mum there

0:52:52.600 --> 0:52:55.440
<v Speaker 2>and you know, it was it was fun and it

0:52:55.480 --> 0:52:58.120
<v Speaker 2>was great to have those memories. And we're of a

0:52:58.160 --> 0:53:01.480
<v Speaker 2>generation I'm thinking more, you know, Crago, you and I

0:53:01.520 --> 0:53:04.960
<v Speaker 2>where we don't have that digital footprint of our first

0:53:05.000 --> 0:53:08.200
<v Speaker 2>step and our first words and our first everything's you know,

0:53:08.200 --> 0:53:10.600
<v Speaker 2>I moved home and I moved to Geelong and I

0:53:10.680 --> 0:53:12.239
<v Speaker 2>was there for six years, and I reckon, I've got

0:53:12.360 --> 0:53:16.440
<v Speaker 2>three photographs of my entire six years, you know, living

0:53:16.480 --> 0:53:19.479
<v Speaker 2>and working in Geelong. But you know, I've got lots

0:53:19.480 --> 0:53:21.279
<v Speaker 2>and lots and lots of memories that I hold on to.

0:53:22.080 --> 0:53:26.640
<v Speaker 1>Yeah, yeah, and I think with all of this stuff, Yeah,

0:53:26.719 --> 0:53:30.320
<v Speaker 1>like some things that would make somebody else happy or smile,

0:53:30.680 --> 0:53:34.160
<v Speaker 1>or like I look at some photos, they make me sad.

0:53:34.239 --> 0:53:36.279
<v Speaker 1>I don't want to look at that photo, you know,

0:53:36.440 --> 0:53:38.400
<v Speaker 1>Like one of I've had a bunch of really good friends.

0:53:38.440 --> 0:53:40.239
<v Speaker 1>One of my best friends in the world passed away,

0:53:40.320 --> 0:53:44.520
<v Speaker 1>Rob Dixon Dicko about twelve thirteen years ago. I don't like.

0:53:44.560 --> 0:53:46.440
<v Speaker 1>I've got photos of him and me that are awesome.

0:53:46.520 --> 0:53:50.520
<v Speaker 1>I won't look at them because it just it doesn't

0:53:50.719 --> 0:53:53.640
<v Speaker 1>you know. I don't like he's always. Oh he's not always,

0:53:53.719 --> 0:53:56.040
<v Speaker 1>but he's often on my mind and in my thoughts.

0:53:56.520 --> 0:54:00.200
<v Speaker 1>But yeah, it just doesn't. Like for me, there's no upside.

0:54:00.280 --> 0:54:03.080
<v Speaker 1>I don't need to go open an album or look

0:54:03.120 --> 0:54:05.520
<v Speaker 1>at something like that. It doesn't. But then for other

0:54:05.560 --> 0:54:07.719
<v Speaker 1>people it's the right thing to do, all right. I

0:54:07.719 --> 0:54:09.680
<v Speaker 1>want to finish with this one because it's kind of

0:54:09.719 --> 0:54:14.879
<v Speaker 1>the intersection of shit I'm fascinated with and AI, which

0:54:14.920 --> 0:54:18.640
<v Speaker 1>is new artificial muscle Patrick. So this is the tech

0:54:18.760 --> 0:54:25.400
<v Speaker 1>section new artificial muscle that can allow humanoid robots to

0:54:25.480 --> 0:54:29.319
<v Speaker 1>live four thousand times their own way. That seems that

0:54:29.440 --> 0:54:33.920
<v Speaker 1>seems like impossible. It's so, yeah, tell us about that,

0:54:34.000 --> 0:54:37.560
<v Speaker 1>because I definitely need some of that muscle. Yeah, that'd

0:54:37.640 --> 0:54:38.239
<v Speaker 1>be great, wouldn't it.

0:54:38.239 --> 0:54:39.640
<v Speaker 2>You wouldn't have to go to the gym anymore if

0:54:39.640 --> 0:54:42.640
<v Speaker 2>you could just get just winded on and there you go.

0:54:43.600 --> 0:54:45.920
<v Speaker 2>It seems that all the work that you've done all

0:54:45.960 --> 0:54:51.160
<v Speaker 2>those years, Craigo was for nothing. Yes, well, robotics is

0:54:51.680 --> 0:54:54.520
<v Speaker 2>you know, this is the next generation of where a

0:54:54.560 --> 0:54:58.400
<v Speaker 2>lot of research is going into. And what they're using

0:54:58.520 --> 0:55:02.560
<v Speaker 2>is little tiny magnet ed muscle they call you little

0:55:02.560 --> 0:55:08.719
<v Speaker 2>magnetic muscles and together they combine and it's basically being

0:55:08.719 --> 0:55:12.279
<v Speaker 2>done in South Korea at the moment and advanced functional

0:55:12.360 --> 0:55:17.279
<v Speaker 2>materials they're calling them. And they're magnetically controlled, so the

0:55:17.360 --> 0:55:21.879
<v Speaker 2>muscle can flip between being basically floppy and then rock

0:55:21.920 --> 0:55:23.319
<v Speaker 2>hard through magnetism.

0:55:23.400 --> 0:55:24.640
<v Speaker 1>So that's the way they're doing it.

0:55:24.680 --> 0:55:28.680
<v Speaker 2>Because when you've got a motor that's generating for don't laugh.

0:55:30.600 --> 0:55:32.080
<v Speaker 1>Yeah, anyway, it.

0:55:31.960 --> 0:55:35.000
<v Speaker 2>Could be used for other purposes as well, Crago, but

0:55:35.480 --> 0:55:37.719
<v Speaker 2>the little tiny strips of the can you're not.

0:55:37.680 --> 0:55:40.279
<v Speaker 1>Say floppy and rock hard in the same sense. You

0:55:40.400 --> 0:55:43.520
<v Speaker 1>do these things on purpose. I don't. I really don't

0:55:43.920 --> 0:55:48.520
<v Speaker 1>absolutely do, Tiff doesn't he Yeah, back me up.

0:55:49.000 --> 0:55:51.439
<v Speaker 2>Yeah, I just think it's a nice way to start

0:55:51.480 --> 0:55:56.439
<v Speaker 2>and finish the show with smart Yeah. So the stiffened states, right,

0:56:00.120 --> 0:56:00.839
<v Speaker 2>describe it?

0:56:01.760 --> 0:56:04.440
<v Speaker 1>You could take I think you could say rigid or

0:56:04.560 --> 0:56:06.479
<v Speaker 1>high ten soil. I don't think you need to say

0:56:06.560 --> 0:56:09.640
<v Speaker 1>stiff and floppy and whatever the other one was.

0:56:10.120 --> 0:56:14.359
<v Speaker 2>Anyway, the rigid state is brought about by these materials

0:56:14.440 --> 0:56:17.880
<v Speaker 2>that could only one point two grams can hold up

0:56:17.920 --> 0:56:22.680
<v Speaker 2>to five kilograms. That's four thousand times its own weight.

0:56:22.800 --> 0:56:25.200
<v Speaker 2>It's as strong as an ant here so and when

0:56:25.239 --> 0:56:28.799
<v Speaker 2>it's softened, so when it's flaccid, it can stretch to

0:56:28.920 --> 0:56:35.040
<v Speaker 2>around twelve times the original legs.

0:56:36.760 --> 0:56:40.000
<v Speaker 1>If what's worse, moist or flaccid?

0:56:40.120 --> 0:56:43.239
<v Speaker 3>Oh, you had to bring it up.

0:56:44.200 --> 0:56:48.760
<v Speaker 1>Today's podcast. Friday's podcast is called what's it called? Please

0:56:48.800 --> 0:56:50.239
<v Speaker 1>don't say moist or something like.

0:56:50.200 --> 0:56:55.160
<v Speaker 3>That, warned, I warn the whole typ.

0:56:56.160 --> 0:57:00.000
<v Speaker 1>Yeah, she went onto the typ Facebook page and apologize

0:57:00.200 --> 0:57:02.960
<v Speaker 1>in advance for the name of today's the title of

0:57:02.960 --> 0:57:05.840
<v Speaker 1>today's episode, and she did. Creat i'ven't even had a

0:57:05.840 --> 0:57:08.200
<v Speaker 1>look this morning, I should look Patrick, we got to

0:57:08.239 --> 0:57:10.160
<v Speaker 1>go tell people how they can connect with you.

0:57:10.560 --> 0:57:13.640
<v Speaker 2>No one wants to connect with me after this. Go

0:57:13.680 --> 0:57:17.600
<v Speaker 2>to websitesnow dot com dot au and always happy to

0:57:17.640 --> 0:57:21.880
<v Speaker 2>take suggestions on stuff we can talk about your websites

0:57:21.880 --> 0:57:25.360
<v Speaker 2>noow dot com do you I'm imported?

0:57:25.920 --> 0:57:28.560
<v Speaker 1>Thank you Patrick, thank you TIF, thank you so I mean,

0:57:28.680 --> 0:57:31.640
<v Speaker 1>for that one person who's still listening, Well done you

0:57:32.000 --> 0:57:36.480
<v Speaker 2>Thank you work, great work, marathon performance