Latest / The You Project / #2020 It's Not Really About Tech Is It? - Patrick Bonello

Transcript

#2020 It's Not Really About Tech Is It? - Patrick Bonello · The You Project

0:00
Speaker 1: I get a team. It's a new project.
0:01
Speaker 2: It's Stiffy and Cook, Patrick, James Bonello, craig Ethny Harper.
0:06
Speaker 1: Once a week we get together and we do this.
0:09
Speaker 1: We're still not sure why.
0:12
Speaker 2: We seem to be a ruddless conversational ship, but nonetheless,
0:15
Speaker 2: we just gather and we do it.
0:17
Speaker 1: Hi, Patrick, We'll start with you.
0:19
Speaker 3: I don't want to come out punching, but you actually
0:21
Speaker 3: had two errors in the previous statement.
0:24
Speaker 1: Okay, that's fine, go ahead.
0:26
Speaker 3: Well we don't meet weekly. It's fortnightly, which I love,
0:29
Speaker 3: and I look forward the highlight of my foot.
0:32
Speaker 2: Okay, noted, thank you for the correction.
0:35
Speaker 4: And you stumbled on the name and how long will
0:37
Speaker 4: we know that to each other?
0:39
Speaker 3: What is your name?
0:41
Speaker 2: I was I actually had a momentary lapse about your
0:44
Speaker 2: middle name, and that was because I was completely inappropriately
0:49
Speaker 2: and unprofessionally looking at something on my phone. I would
0:53
Speaker 2: yell at you two for doing that. So I'm going
0:55
Speaker 2: to yell at my I'm going to yell at myself.
0:59
Speaker 2: I was just I know there's no exs.
1:02
Speaker 3: You can't.
1:03
Speaker 2: Okay, I'm bad. Look I accept both bits of feedback.
1:06
Speaker 2: You are correct, I am wrong.
1:09
Speaker 1: There we go. That's how you do it. Everyone.
1:11
Speaker 2: If somebody points out a mistake that you made or
1:13
Speaker 2: a fault, just go fuck. Thanks for that, Patrick noted
1:17
Speaker 2: taken on board, you can't won't do it again.
1:21
Speaker 1: You're welcome.
1:22
Speaker 3: I feel like we're in the moment now and I
1:24
Speaker 3: feel a lot better and more recognized.
1:28
Speaker 1: I feel seen, especially when you swear at me. TIF
1:31
Speaker 1: How are you? How are your all?
1:33
Speaker 5: I'm fabulous, some fabulous things apps.
1:37
Speaker 2: I just had a coffee with Scottie Douglas, who is
1:41
Speaker 2: a big fan of you and also a big fan
1:45
Speaker 2: of Patrick. You wouldn't know who he is made he's
1:46
Speaker 2: been on the show a couple of times, loves you,
1:50
Speaker 2: and he's like, I never used to listen to the
1:52
Speaker 2: Patrick episodes because I didn't listen to any, he said,
1:55
Speaker 2: because I don't really give a fuck about tech, right,
1:58
Speaker 2: And then he listened to one and he loved it,
2:00
Speaker 2: and he goes, oh god, now I've got to go
2:02
Speaker 2: back through them all because I love Patrick.
2:04
Speaker 5: Oh.
2:05
Speaker 3: Also, scott eat on your best friend. Thank you. You've
2:07
Speaker 3: just made my day. After Craig abuses me at the
2:11
Speaker 3: start of the show, right, well, you know.
2:13
Speaker 2: That if I abuse you, especially if I call you
2:15
Speaker 2: the sea word that you're in.
2:17
Speaker 1: My top five, because I don't do that for anyone.
2:19
Speaker 1: You're welcome.
2:21
Speaker 2: But you know what is funny is this show has
2:25
Speaker 2: got almost I mean it's loosely about tech, but people
2:28
Speaker 2: don't listen to it for that. I think the majority
2:31
Speaker 2: of people don't listen to it for that reason. So
2:34
Speaker 2: let's not get too distracted with technology, shall we?
2:39
Speaker 3: Yeah? Good idea, mate, that's great.
2:42
Speaker 2: Before we do talk to Patrick in any detail. Tiffany
2:45
Speaker 2: and Cook, what is new with you? What is going on?
2:47
Speaker 2: You've got your big speaking event coming up in the
2:50
Speaker 2: Sunshine State. You've been prepping like a fucking champion. You've
2:54
Speaker 2: got a bit of nerves, You've got a bit of anxiety.
2:56
Speaker 1: Have you picked out your frock? What are you wearing?
3:00
Speaker 2: I'm sure you're wearing a good sensible frock as Mary
3:02
Speaker 2: would say it in a track.
3:05
Speaker 5: And I'm sure is shit not wearing a frock I've got?
3:10
Speaker 2: Are you wearing overalls with like a spanner in your
3:13
Speaker 2: pocket and a bit of grease on your chin?
3:15
Speaker 3: Is a spatter in your pocket?
3:16
Speaker 4: Tip?
3:20
Speaker 2: I'm just happy to do my presentation.
3:23
Speaker 5: There, we know frock there? I love it. Because all
3:25
Speaker 5: the girls are getting here and makeup. I'm not fuck that, Yeah,
3:30
Speaker 5: not at all, But I'm excited with Yeah, plenty of
3:33
Speaker 5: nerves plenty because it is out of my comfort zone
3:36
Speaker 5: the way that the whole things do it. But it's
3:38
Speaker 5: coming together. I've pulled my head in, I've taken a
3:42
Speaker 5: bit of my own medicine and leaned into the discomfort
3:46
Speaker 5: and doing it someone else's way. And I'm just having
3:49
Speaker 5: a crack.
3:50
Speaker 3: Did you take Blake's advice when you say you're not
3:52
Speaker 3: wearing a frock that you're going to do it naked?
3:54
Speaker 3: You know how most people get up on stage and
3:56
Speaker 3: they imagine the crowd's naked doing the reverse.
4:00
Speaker 5: Definitely don't do that.
4:03
Speaker 3: Just checking. I thought maybe distraction might be a good
4:06
Speaker 3: strategy for sure. Not. I want to know what you're
4:09
Speaker 3: gonna wear it? What are you gonna wear it? Because
4:11
Speaker 3: you look pretty amazing and it doesn't matter what you wear,
4:14
Speaker 3: you look great. But what do you think you wear?
4:17
Speaker 5: Probably probably that ten dollars sparkly top I wore once before,
4:22
Speaker 5: and my Freddy jeans.
4:24
Speaker 3: So remember when we were led together. You're gonna wear
4:26
Speaker 3: the same outfit or you.
4:28
Speaker 5: Got well that was what they call it an orange
4:32
Speaker 5: jail jumpsuit that wasn't mine, So no, I won't be
4:35
Speaker 5: wearing that.
4:37
Speaker 4: But so jeans and a sparkly top. Can you send
4:40
Speaker 4: me a photo later?
4:40
Speaker 3: Oh?
4:41
Speaker 1: Absolutely, well pretty much sounds like you, Patrick.
4:45
Speaker 2: I mean, I mean you could you two could just
4:48
Speaker 2: bloody into change wardrobes.
4:50
Speaker 1: Can we just clear up?
4:52
Speaker 2: So, like you've got to go do You've been doing
4:54
Speaker 2: part of this speaker's program and some of the some
4:59
Speaker 2: of the people who did the course correct me if
5:00
Speaker 2: I fuck any of this up, but got picked to
5:04
Speaker 2: speak at an event and you're one of those people. Congratulations.
5:08
Speaker 2: But the challenge for you is that you, who like me,
5:12
Speaker 2: is very freestyle, which kind of means lazy and unplanned.
5:18
Speaker 2: You've had to you've had to script it and you've
5:21
Speaker 2: had to It's it's like, really in a way, it's
5:25
Speaker 2: a performance, Like I mean, it's still you and there's
5:29
Speaker 2: still your words. But am I right in that, it's
5:32
Speaker 2: like it's got to be very scripted and very pre planned?
5:36
Speaker 5: Yeah, very yeah, So it's very tightly planned.
5:39
Speaker 2: And yeah, how is that for you?
5:42
Speaker 1: Because that ain't you.
5:44
Speaker 5: I know, it's been it's been a hell of it.
5:46
Speaker 5: I've been very loud about it. I've been not the
5:49
Speaker 5: best student, I can tell you that much.
5:51
Speaker 2: But have you been quite oppositional?
5:54
Speaker 5: Oh yeah, plenty of that. And in the final hour,
5:56
Speaker 5: I thought, well, what is all this stuff you teach?
6:00
Speaker 5: Oh that's right, shout the fuck up and do it.
6:02
Speaker 3: Then?
6:02
Speaker 5: So is there?
6:05
Speaker 3: What is there?
6:07
Speaker 2: And I'm not saying it's good or bad, It's I'm
6:08
Speaker 2: not being critical. I'm being curious, like, what is the
6:11
Speaker 2: what is her? Like your teacher person, we won't mention
6:15
Speaker 2: what it is or who it is, but shout out
6:16
Speaker 2: to her. Tip does say good things behind your back?
6:20
Speaker 2: What like what's her philosophy? Then that it should be
6:24
Speaker 2: as well choreographed, prepared and scripted as possible so you
6:28
Speaker 2: can't fuck it up or no.
6:30
Speaker 5: Well, and when they say scripted, the end result is
6:33
Speaker 5: you're not going word for word script You just know
6:35
Speaker 5: your content so tightly that you know where you're going
6:39
Speaker 5: and you know the important perhaps to script.
6:43
Speaker 3: I do.
6:44
Speaker 5: I am open to believing that the potential of it
6:48
Speaker 5: being a much better way to put it together might unfold.
6:54
Speaker 5: I don't know if following this procedure exactly the way
6:59
Speaker 5: I have is the best way for me, But I
7:03
Speaker 5: think it'll iron out, and yeah, I think maybe the
7:06
Speaker 5: end result is that it will be more powerful because
7:09
Speaker 5: I will I will know exactly what I want to
7:14
Speaker 5: be taken away and I won't leave anything out, and
7:17
Speaker 5: it'll be a bit more Yeah.
7:19
Speaker 2: I think the good thing about public speaking, professional whatever
7:23
Speaker 2: is that there is no single way to do it.
7:25
Speaker 2: Like I remember doing a gig with Stephen Bradbury, I
7:30
Speaker 2: think three times, you know, the accidental gold medalists. Not
7:33
Speaker 2: that he didn't deserve it, He fucking deserved it, but
7:36
Speaker 2: I think every time it was pretty much verbatim word
7:39
Speaker 2: for word, and it had you know, like video bits
7:42
Speaker 2: in it and had like stories and every and it
7:45
Speaker 2: was very formulaic, but every time it crushed right, every
7:50
Speaker 2: time it did great. And so here's me, mister non
7:54
Speaker 2: formula mister freestyle Lucy Goosey. And part of me was thinking,
7:59
Speaker 2: why the fuck isn't that boring?
8:00
Speaker 1: Just and then but.
8:01
Speaker 2: Part of me is like, hey, shut up, dickhead. He's
8:03
Speaker 2: getting paid shitloads and he's crushing three times in a row,
8:08
Speaker 2: so this is actually working for him very well. That
8:12
Speaker 2: probably wouldn't work for me. But then what I do
8:15
Speaker 2: wouldn't work for him. So I think this is the
8:17
Speaker 2: beauty of you know, like whether or not it's podcasting,
8:21
Speaker 2: or whether or not it's you know, like building any
8:24
Speaker 2: other kind of business or doing any other kind of
8:26
Speaker 2: performedive thing.
8:27
Speaker 1: It's not like.
8:28
Speaker 2: There's a set way, but maybe what will happen is
8:30
Speaker 2: you'll do this kind of this model, and then you
8:34
Speaker 2: might end up in your own space moving forward, somewhere
8:39
Speaker 2: between your loosey goosey style and this way more prepared style.
8:43
Speaker 2: You might find a fit in the middle.
8:45
Speaker 5: And I also love that all the work that goes
8:48
Speaker 5: into this has given me something. Let's call it a
8:51
Speaker 5: signature keynote, so I can have that if people want it,
8:55
Speaker 5: or I can or I can have whatever version I
8:57
Speaker 5: throw together to suit others events.
9:02
Speaker 3: Cool.
9:03
Speaker 2: I think you would have been a very good or
9:05
Speaker 2: you would be if you wanted to be. You'd be
9:07
Speaker 2: a very good presenter because you've got a great voice
9:11
Speaker 2: and you're a great communicator. Have you ever thought about
9:13
Speaker 2: doing stuff like that and what would you talk about?
9:16
Speaker 3: Yeah, that's a really interesting one. I think I would
9:19
Speaker 3: love to do that because I actually loved talking and
9:21
Speaker 3: communicating and that's been my whole career, and I think
9:25
Speaker 3: it's something that I've just always thrived on and I
9:28
Speaker 3: have thought about it a little bit, you know, I've
9:30
Speaker 3: kind of moved in different spaces. I did a few
9:32
Speaker 3: lectures when I was a journalist at Federation University, talking to,
9:37
Speaker 3: you know, young journalists or people studying to be journalists
9:41
Speaker 3: about what it was actually like to work in a
9:43
Speaker 3: breakfast newsroom and a lot of fun. It was just
9:47
Speaker 3: a thing that I did once a year to the
9:49
Speaker 3: journalism students. I don't know, it's a tough call. I
9:52
Speaker 3: think there's lots of things that I can talk about.
9:54
Speaker 3: It's funny I went to and this kind of has
9:56
Speaker 3: a close connection. But I thought of that two of
10:00
Speaker 3: you when I went to my very first improv night
10:04
Speaker 3: and the local council here through our neighborhood center, ran
10:08
Speaker 3: a four week course with a professional guy who's moved
10:11
Speaker 3: to the land who does improv. And I knew a
10:13
Speaker 3: lot of people who were doing the course, and so
10:16
Speaker 3: it was fun to go along and see them do
10:18
Speaker 3: this improv and I'd never experienced it before, and I thought, improv,
10:22
Speaker 3: that'd be so easy.
10:23
Speaker 4: We do that every fortnight? How hard?
10:27
Speaker 3: But they got the audience to throw out a reference
10:30
Speaker 3: word and they had to improv around that. And listening
10:35
Speaker 3: to what Tiff was saying, I reckon I would struggle
10:37
Speaker 3: to follow a script. You know, A good thing about
10:40
Speaker 3: what you've done is kind of pushing you out of
10:42
Speaker 3: your comfort zone, and then it probably is going to
10:44
Speaker 3: help with structuring things a little bit more like running
10:47
Speaker 3: to a not so much a script, but a structure.
10:50
Speaker 3: And I think that's where you're probably going to take
10:52
Speaker 3: a little bit of this and a little bit of that,
10:53
Speaker 3: and it's going to make you an overall better speaker.
10:55
Speaker 3: But I would love to talk to people about I mean,
10:58
Speaker 3: I don't often talk about this very very much, and
11:01
Speaker 3: I've had a challenging childhood. It's it's something that you
11:05
Speaker 3: know in some areas it was kind of challenging. I
11:08
Speaker 3: had a bit of childhood trauma and bullying when I
11:11
Speaker 3: was a kid, and I've often thought if that could
11:13
Speaker 3: help someone to know about adversity and coming from adversity.
11:17
Speaker 3: In fact, Tiff and I were talking about partnering up
11:20
Speaker 3: and maybe doing something together and running a workshop to
11:25
Speaker 3: talk about resilience and that sort of thing, and I
11:28
Speaker 3: think that's kind of fueled my love of tai chi
11:31
Speaker 3: and breaking away from those things that can really hinder
11:34
Speaker 3: us in our daily lives. So I think that would
11:37
Speaker 3: be the topic that I'd like to most focus on,
11:39
Speaker 3: something that I feel would really bring value to people's lives.
11:43
Speaker 3: For me, that's a big thing.
11:45
Speaker 2: You should maybe put some thought and work into that
11:49
Speaker 2: and see what comes out the other side. I think
11:52
Speaker 2: you would be it'd be good at that, and people
11:55
Speaker 2: like you and yeah, you're authentic, and it's I think
11:59
Speaker 2: that might resonate.
12:00
Speaker 1: Let's talk about tech.
12:01
Speaker 4: Shall we just give a shot at Scotty when you mate?
12:07
Speaker 2: Okay, it doesn't seem like this is the time to
12:11
Speaker 2: do that, but.
12:14
Speaker 1: Sure, go on.
12:15
Speaker 3: You know, wasn't that your friend that you had breakfast
12:17
Speaker 3: with this morning? Was that Scotty?
12:19
Speaker 1: Oh? I had no idea. Yeah, sure you can, yeah it.
12:24
Speaker 4: I just thought it'd be nice to say hi. Listening
12:27
Speaker 4: to me.
12:27
Speaker 1: On the Patrick's not desperate at all. Will send you
12:31
Speaker 1: his will send you his number later. Patrick.
12:37
Speaker 2: It appears to me I heard this last night on
12:39
Speaker 2: the news and it's on the top of your to
12:41
Speaker 2: chat about list. Open ai is allowing mature content now,
12:47
Speaker 2: am I interpreting that? As pawn non chat GPT for
12:52
Speaker 2: adult verified users starting in December.
12:56
Speaker 1: What does that actually mean?
12:58
Speaker 3: Well, Sam Altman, the bloke who you know, the big AI, Meger, giant,
13:05
Speaker 3: enormous company, what he's saying is it means that you
13:09
Speaker 3: could potentially interact with your AI chatbot in a more
13:12
Speaker 3: adult like way and not be hindered by that conversation.
13:17
Speaker 3: So I don't think it's about producing porn. I think
13:19
Speaker 3: it's having.
13:22
Speaker 1: Dirty, dirty conversations with AI.
13:25
Speaker 3: Yeah, maybe, I don't know. He hasn't really specified. Basically,
13:30
Speaker 3: what he's saying is they want to roll out, you know,
13:33
Speaker 3: you know, make that age restriction thing and treat adults
13:37
Speaker 3: like adult users. And if adult users want to have
13:41
Speaker 3: a more saucy conversation with AI, should we stand in
13:44
Speaker 3: the way of that? Don't laugh, It's just.
13:49
Speaker 2: Like, yeah, there's so many hilarious things that are fucking
13:55
Speaker 2: bolting through my mind at the moment. What's the first thing,
13:58
Speaker 2: even even for me somewhat inappropriate, what's the first Well,
14:04
Speaker 2: let's see what happens with that.
14:05
Speaker 1: Would you use it? Patrick?
14:07
Speaker 3: No? Probably not, Tiff.
14:12
Speaker 2: Nah, All right, Well we'll see what happens with that. Patrick,
14:16
Speaker 2: Stay tuned. Everybody. Patrick might be getting a new boyfriend.
14:19
Speaker 2: It sounds like his name is open. What you asked
14:24
Speaker 2: us if we I know?
14:26
Speaker 3: Would you no? I just want to dark question, I think, And.
14:30
Speaker 2: I'm not just saying that I know that would give
14:35
Speaker 2: me the opposite of the effect that some people would
14:39
Speaker 2: want know what I'm saying like that would No, My
14:43
Speaker 2: brain and my body does not work like that at all.
14:48
Speaker 2: Google Search are introducing AI mode in Australia. What does
14:52
Speaker 2: that even mean Google Search?
14:54
Speaker 3: Well, it means that you can do more complicated searches
14:58
Speaker 3: with a much broader text string, and you can do
15:02
Speaker 3: it via input with text, images or voice. So I
15:06
Speaker 3: might say, Tiffing, and I want to do a chocolate
15:10
Speaker 3: tour of Melbourne in the CBD that takes three hours,
15:14
Speaker 3: and we want to do it on a Saturday, starting
15:16
Speaker 3: at five o'clock. So what we do is it?
15:20
Speaker 1: You've thought about that prompt, haven't you. You've definitely thought
15:23
Speaker 1: about that.
15:23
Speaker 5: To bed earlier. Patrick. If that's a real thing.
15:27
Speaker 3: Sure I'm into it. So you can do more complicated,
15:31
Speaker 3: complicated text strings of information and it will be able
15:34
Speaker 3: to do that, so it will not just answer one question.
15:37
Speaker 3: Then you're going to do another query, then answer another
15:39
Speaker 3: question to another query. So it will make the conversation
15:44
Speaker 3: a lot more human like in terms of the way
15:46
Speaker 3: that we communicate, and it will make those searches a
15:49
Speaker 3: lot better. You know, you might say, I want to
15:51
Speaker 3: go on holiday. I'm thinking of flying to Queensland. What's
15:54
Speaker 3: the best time of the year to do that. I
15:56
Speaker 3: don't want the weather to be hotter than thirty degrees
15:58
Speaker 3: And those sorts of con stations will allow the integrated
16:02
Speaker 3: AI to do a more comprehensive search, drawing on lots
16:06
Speaker 3: and lots of different resources, rather than just going to
16:09
Speaker 3: one resource website. It would then be able to look
16:12
Speaker 3: at a whole lot of things before it responded.
16:15
Speaker 1: So it's I mean, kind of just another AI, really.
16:18
Speaker 3: Right, Yeah, it is, but it's an ALI in a
16:21
Speaker 3: specific sense because it's drawing on real time information. So
16:26
Speaker 3: the large language models we think about a resourced So
16:30
Speaker 3: if you're getting a picture of an elephant being drawn
16:32
Speaker 3: for you that's wearing a top hat and riding a unicycle, well,
16:36
Speaker 3: then it's going to reference stuff that it's learnt previously,
16:39
Speaker 3: whereas this is using real time information because it might
16:42
Speaker 3: need flight data, it might be looking at current weather,
16:44
Speaker 3: that sort of stuff, so it is more real time
16:48
Speaker 3: than what the conventional AI models are although check GPT
16:52
Speaker 3: and hours incorporating real time information, so it is a
16:55
Speaker 3: lot better.
16:57
Speaker 1: Well, the next one doesn't seem like a good idea.
16:59
Speaker 2: Creators, Are you using AI to prank loved ones with
17:03
Speaker 2: fake homeless intruders?
17:05
Speaker 3: I saw this and it was so disturbing to see it.
17:08
Speaker 3: There's so many stupid searches and stupid things was being
17:12
Speaker 3: used for. And what it was was this girl or
17:15
Speaker 3: young woman pranked her father by taking photos in her house.
17:20
Speaker 3: So initially she has this bearded homeless guy standing at
17:25
Speaker 3: the front door and she takes a photo.
17:27
Speaker 1: So she takes a.
17:28
Speaker 3: Photo and the AI superimposes this what appears to be
17:32
Speaker 3: a homeless man standing at the front door. She texts
17:34
Speaker 3: her father and says, oh, one of your friends just
17:37
Speaker 3: rocked up of led him in. And then she shows
17:40
Speaker 3: a picture of her kitchen and there's the same bloke
17:42
Speaker 3: having a coffee, then blokes sitting on the couch, and
17:45
Speaker 3: so she's making up this whole scenario and sending it
17:49
Speaker 3: to her father, and of course he's freaking out. He's saying,
17:52
Speaker 3: I don't know who this is, you know, what does
17:55
Speaker 3: you want? Why did you let him inside the house?
17:57
Speaker 3: And of course this I mean, the problem with a
18:00
Speaker 3: lot of this stuff is that it has it been
18:02
Speaker 3: sensationalized and is it all set up or is it
18:05
Speaker 3: actually a real thing. I mean, the technology certainly is there.
18:08
Speaker 3: You can superimpose someone into a shot now and in
18:11
Speaker 3: fact I didn't put it into our articles, but I
18:14
Speaker 3: find it really disturbing where you can now in real
18:18
Speaker 3: time use AI. I think Google's rolling it out on
18:21
Speaker 3: some of the pixel phones and Android phones, where you
18:24
Speaker 3: can change the vision or the scene that you're looking
18:27
Speaker 3: at and incorporate things that are not even there into
18:31
Speaker 3: the photo you're about to take. That freaks me out
18:34
Speaker 3: as well, someone who loves capturing the moment in real time.
18:38
Speaker 3: You know, if I'm walking or hiking and I see
18:42
Speaker 3: a spider web that's got dew on it and the
18:44
Speaker 3: sunlight's hitting it in the right way, I'll take a
18:47
Speaker 3: photo or a beautiful sunrise or sunset and those moments
18:50
Speaker 3: are fleeting. You know, the cloud and the sky that
18:53
Speaker 3: you look at now you'll never see again in that shape,
18:56
Speaker 3: in that design. You know, those moments are beautifully capture
19:00
Speaker 3: if you hip at the right time, but suddenly if
19:02
Speaker 3: you're using AI, and in this case, it's a really
19:05
Speaker 3: terrible way to prank someone. So it's just a really
19:08
Speaker 3: weird TikTok trend at the moment, and it does my
19:12
Speaker 3: head in sometimes I overthink it. What's your thoughts cray going.
19:15
Speaker 2: And yeah, I just think that we need to be
19:19
Speaker 2: careful like with all of this that people are. You know,
19:24
Speaker 2: there's so much now that even comes across my social
19:27
Speaker 2: media feed where it's the AI is so good as
19:31
Speaker 2: in it it looks so.
19:33
Speaker 1: Real that.
19:36
Speaker 2: You spend half your life going, oh, is that actually
19:39
Speaker 2: a dog doing this? Or is this somebody who created
19:42
Speaker 2: an AI that looks like a dog doing that or
19:45
Speaker 2: whatever the thing is, And I think that's I don't
19:47
Speaker 2: know how that's going to unfold moving forward.
19:50
Speaker 1: But also, you know, I mean, what that girl was.
19:54
Speaker 2: Doing with her dad and the in inverted commas homeless
19:56
Speaker 2: guy just to me seems like a silly idea to
20:00
Speaker 2: start with. But when you think of more kind of
20:03
Speaker 2: you know, subversive kind of unethical applications of this, you know,
20:08
Speaker 2: people are like moving forward just trying to figure out
20:11
Speaker 2: who do I trust and what do I trust online?
20:14
Speaker 2: Because I think that's one of the biggest issues. Now
20:17
Speaker 2: you don't know what is real, you don't know what
20:19
Speaker 2: is bullshit, you don't know what's fake, and it's like
20:24
Speaker 2: a real and it's it's difficult, I think. Also, you know,
20:28
Speaker 2: like I'm sixty as fuck, I don't know. Maybe the
20:31
Speaker 2: twelve year olds do, maybe Tiff does, maybe you do,
20:34
Speaker 2: but like a huge percentage of people that aren't particularly
20:38
Speaker 2: tech savvy, you know, then at the far end of
20:41
Speaker 2: the spectrum, my mum and dad who get phone calls
20:44
Speaker 2: from people who want them to do this and touch
20:47
Speaker 2: you know whatever. Yeah, So it's it's a slippery slope
20:51
Speaker 2: and I hope it gets easier, not harder.
20:53
Speaker 3: One of the big concerns, and this is happening right now,
20:57
Speaker 3: is using AI where state operators. So we're talking about
21:02
Speaker 3: you know, government backed hackers and people using AI to
21:07
Speaker 3: try to influence elections. We've seen it happen in the
21:10
Speaker 3: United States, We've seen it happen overseas, and even misrepresentations
21:15
Speaker 3: of what's going on in Ukraine. And you know the
21:18
Speaker 3: problem is it's getting so accurate. As you pointed out,
21:20
Speaker 3: it's hard to tell what's real and what isn't real.
21:23
Speaker 3: And that's where it's almost like, gosh, I wish there
21:27
Speaker 3: was some sort of AI filter to disallow that. I
21:31
Speaker 3: think we've descended into a rabbit hole that's exceptionally frightening
21:35
Speaker 3: if it's getting used in that way. It's one thing
21:38
Speaker 3: to prank your dad and with a homeless bloke sitting
21:40
Speaker 3: on your couch, it's another thing entirely to try to
21:43
Speaker 3: swing public opinion or cause hate because of something that's
21:49
Speaker 3: being politically manipulated to try to you know, misrepresent the
21:53
Speaker 3: opposition or misrepresent the sitting government. Those sorts of insurgencies
21:58
Speaker 3: can be exceptionally frightening, and you know, it's really worrying
22:02
Speaker 3: because it's these tools are now so freely available. That's
22:06
Speaker 3: the other thing, you know, Sam Altman's talking about. Great
22:09
Speaker 3: Now you can talk sex stuff with your AI chatbot
22:12
Speaker 3: and that's going to work for some people but not
22:14
Speaker 3: for everybody. But where does that take us? With these
22:18
Speaker 3: tools getting better and better and better, You know, the
22:20
Speaker 3: genie is well and truly out of the bottle.
22:23
Speaker 2: And you think about you think, like part of me
22:27
Speaker 2: is like part of me is like okay, so somebody
22:31
Speaker 2: who's living on their own, who doesn't have a partner,
22:33
Speaker 2: who doesn't have intimacy, who doesn't feel that emotional connection,
22:37
Speaker 2: who doesn't feel loved or seen or valued, and then
22:41
Speaker 2: they have this resource where maybe they can get some
22:44
Speaker 2: of that or feel like they get some of that.
22:46
Speaker 2: So I have compassion and empathy there. So from that perspective,
22:53
Speaker 2: the mind guy, I get it. The emotion guy, I
22:56
Speaker 2: get it, or the human behavior, I get that, And
22:59
Speaker 2: I think maybe that even serves a positive purpose for some.
23:02
Speaker 2: But then on the other side, like Devil's advocate, I go, okay,
23:06
Speaker 2: So now you know, people are building potentially these more
23:10
Speaker 2: and more intimate relationships with this thing that's not real.
23:15
Speaker 2: It's not a human, it doesn't actually have any emotions,
23:18
Speaker 2: it doesn't actually care about you. It's a program. It's
23:22
Speaker 2: a program that's pushing your buttons to make you feel
23:25
Speaker 2: a certain way. And then what happens if somehow or
23:30
Speaker 2: for some reason that technology disappears. You know, now we've
23:35
Speaker 2: got people addicted to technologies and addicted to these technological
23:41
Speaker 2: biological interface relationships.
23:43
Speaker 1: Do you like that term? Patrick?
23:45
Speaker 2: And I just see probably more problems and solutions. But
23:50
Speaker 2: I'm just an old trying to fucking figure it out
23:53
Speaker 2: in real time.
23:54
Speaker 3: Okay, if we went back in time six hundred years
23:56
Speaker 3: and I took you to Sparta, right, and I of.
24:00
Speaker 2: Course you picked Sparta. Yeah, the fucking I know why
24:04
Speaker 2: you picked Sparta. Just a whole lot of men in
24:07
Speaker 2: not many clothes. Yeah, but go on, we could have
24:09
Speaker 2: picked any other time in history.
24:11
Speaker 3: No, No, I have a specific reason.
24:13
Speaker 2: I don't think it was six hundred. I think it
24:14
Speaker 2: was like two thousand whatever. You know, don't it wasn't
24:18
Speaker 2: the fifteen hundreds.
24:19
Speaker 3: Bro Thatt's come on, a good story, all right, come on,
24:23
Speaker 3: let's hear it.
24:24
Speaker 4: I think of the movie six hundred. That's where that
24:26
Speaker 4: got into my head. Three hundred whatever, It was just
24:29
Speaker 4: twice as many things.
24:30
Speaker 2: What do you mean whatever, If you're going to say
24:32
Speaker 2: something fucking makes sense.
24:34
Speaker 3: I watched it twice, so that made it six hundred, didn't.
24:37
Speaker 3: Sorry anyway, you.
24:39
Speaker 2: Know it's not just us two listening. You know, you've
24:41
Speaker 2: got to try and make sense to the audience.
24:43
Speaker 3: Scotty Scotty Wait, Mindy Scotty jumped off five minutes ago. Wellard,
24:49
Speaker 3: I know he's worried that I haunted him in social
24:53
Speaker 3: media now, so no, no, what I'm getting at is right.
24:56
Speaker 3: We take you back in time to Sparta, right, and
24:59
Speaker 3: like he did at the start of the show, you
25:01
Speaker 3: rip off his shirt and show you ripped abs. And
25:05
Speaker 3: he did so he did. He lifted his shirt and
25:08
Speaker 3: showed off his apps, which were very impressive a month so.
25:12
Speaker 1: But I did not rip off my shirt.
25:15
Speaker 3: Well it wasn't quite ripping off his shirt, but did
25:17
Speaker 3: you expose yourself?
25:18
Speaker 4: Come on, didn't you?
25:19
Speaker 1: Fucking Now this is getting worse.
25:22
Speaker 5: I'm staying out of it.
25:24
Speaker 3: Thanks Tip, anyway, can I please finish? My god?
25:30
Speaker 1: Could you get interesting?
25:31
Speaker 2: Because I'm nodding off with everyone else.
25:34
Speaker 3: It's a good idea everyone.
25:36
Speaker 1: I'm sorry about today. We'll do better next time.
25:38
Speaker 2: Patrick's not back in a week as previously advertised, but
25:41
Speaker 2: it'll be back in two weeks.
25:43
Speaker 3: Thank god. Everyone is so anyway, which is what this
25:46
Speaker 3: whole concept that sounded good in my head when I
25:48
Speaker 3: first started. Now ten minutes later it's not as good,
25:51
Speaker 3: but I'm going to say it anyway.
25:53
Speaker 4: Well, yeah, come on, we take you back to Sparta.
25:57
Speaker 3: You rip off your top and then mister Spartan bloke
26:01
Speaker 3: rips off his top or probably hasn't got a top
26:04
Speaker 3: on the start with. And he looks at you and
26:06
Speaker 3: he says, how many people have you killed to be
26:09
Speaker 3: that physical man that you are? And you say, man,
26:12
Speaker 3: I use a smith machine and dumbbells. That's not authentic
26:15
Speaker 3: at all. It's like, well, who's the real man here,
26:19
Speaker 3: who's the real warrior?
26:20
Speaker 4: And I'm saying, so, I know it's a.
26:22
Speaker 3: Really bad at allergy.
26:23
Speaker 2: Hell, this is the worst analogy of all time. Do
26:26
Speaker 2: you want to rethink this? Because everybody's just gone to
26:29
Speaker 2: get a cup of tea and fucking wow, what is
26:34
Speaker 2: Can I just say you no elephants stamp today like nothing.
26:40
Speaker 3: The poor woman who I recently read an article about,
26:44
Speaker 3: who had very severe face disfigurement, had formed a relationship
26:49
Speaker 3: with an AI chatbot and to her it was real,
26:52
Speaker 3: So unlike the spartan man who had been out there
26:55
Speaker 3: and met the real person Craig who's been in a
26:57
Speaker 3: gym and using fake equipment to get that body.
27:01
Speaker 4: So what I'm saying is it's all the matter.
27:03
Speaker 2: You're saying the only way to get in shape is
27:05
Speaker 2: kill people, and that's better than a smith machine and dumbbells. Okay, wow,
27:10
Speaker 2: shout out to the sociopaths and psychopaths. Patrick's starting a
27:14
Speaker 2: new program, how to Kill for lean mass.
27:17
Speaker 3: I think you're bringing into it that a little bit
27:19
Speaker 3: too deeply now. But what I'm saying is using an
27:21
Speaker 3: AI and forming an AO relationship for some people may
27:25
Speaker 3: be a real comfort that they make. Because when you
27:27
Speaker 3: first started that story about the poor lonely person who
27:30
Speaker 3: lives alone, I'm thinking, what the fuck you're talking about?
27:32
Speaker 3: All of us? We all live alone, for crying out loud, exactly.
27:37
Speaker 2: But I also said it could be good, it could
27:39
Speaker 2: be a positive.
27:39
Speaker 1: I'm saying that.
27:41
Speaker 2: I'm saying that there can be an upside, especially for
27:45
Speaker 2: people who really feel disconnected and so on. But the
27:47
Speaker 2: author I'm also saying, but it ain't all necessarily good.
27:51
Speaker 1: I think you've got to look at.
27:53
Speaker 2: I mean, rather than taking a side, I think you
27:56
Speaker 2: want to try and look objectively about pros and cons
27:59
Speaker 2: for everything. Otherwise you're just sitting on one side of
28:02
Speaker 2: the fence and you're not open. Do I think it
28:04
Speaker 2: could be good?
28:04
Speaker 1: Yes? Do I think it could be problematic? Yes?
28:07
Speaker 2: I think it depends on context, person, and situation. But
28:12
Speaker 2: you know, there are so many variables around and I'm
28:14
Speaker 2: not trying to be too serious, but it's like, are
28:17
Speaker 2: drugs bad? Well, it depends what drugs, what you're taking,
28:21
Speaker 2: how much, how often. But for a lot of people,
28:23
Speaker 2: drugs will save their life. It's not black and white
28:26
Speaker 2: with these things. It depends on the application and the situation.
28:31
Speaker 2: And so for a lot of people, technology is just
28:34
Speaker 2: a tool they use to make money and do good shit.
28:36
Speaker 2: For other people it's an addiction that's fucking up their
28:39
Speaker 2: life and they can't leave their bedroom because they're.
28:41
Speaker 1: Playing games eight in hours a day.
28:44
Speaker 2: So I just think it's not that arbitrary.
28:47
Speaker 3: Yeah, now I agree, but I think that there's a
28:50
Speaker 3: lot of hope there for people to be able to
28:54
Speaker 3: try to use technology to fill avoid they might have
28:58
Speaker 3: in their lives and if that can done in a
29:00
Speaker 3: supportive way. But I think the problem is oversight, like anything.
29:04
Speaker 3: You know, we were talking about Google using its more
29:07
Speaker 3: advanced chat feature. You know, in your doing Google searching now,
29:12
Speaker 3: a lot of use websites are reeling at the moment
29:15
Speaker 3: because when you do a search in Google now you
29:18
Speaker 3: get an AI overview of the information. So for example,
29:22
Speaker 3: if I said find out about the typ podcast rather
29:26
Speaker 3: than sending you to the TYP website. It would give
29:29
Speaker 3: you a bit of an overview. So TYP podcast hosted
29:33
Speaker 3: by Craig Harper, you know, supported by tif Cook and
29:37
Speaker 3: occasional guest Patrick Barnello. Done okay, so gives you an overview.
29:40
Speaker 3: It's like I don't need to know anything else. That's
29:41
Speaker 3: the TYP podcast. Now, news sites have lost as much
29:46
Speaker 3: as sixty percent of their traffic since this has been introduced.
29:51
Speaker 3: The problem being is that Google is taking the information
29:55
Speaker 3: from those sites without their permission, but not sending the
29:59
Speaker 3: traffic to the sites. They're basically saying, this is the story,
30:03
Speaker 3: this is the information. I'm going to give you it
30:04
Speaker 3: in a very summarized form, and then people are not
30:07
Speaker 3: needing to go to the sites. So these news websites
30:10
Speaker 3: are saying, well, you're using our sites to serve up
30:12
Speaker 3: that information. But because they haven't got the traffic, then
30:15
Speaker 3: their ad revenue is going to drop because people aren't
30:17
Speaker 3: going there. And if they've lost sixty percent of their traffic,
30:20
Speaker 3: they've also lost sixty percent of their revenue as well.
30:24
Speaker 3: And that's where this there's disconnect in terms of what's
30:26
Speaker 3: being searched and what's being delivered.
30:28
Speaker 2: So if that website's public domain though, right, and anyone
30:32
Speaker 2: can go on there and look at it, and then
30:34
Speaker 2: Google goes and looks at it and then tells you
30:36
Speaker 2: what's on there. So yeah, I understand what you're saying,
30:39
Speaker 2: but I mean, this is just that the rate of
30:43
Speaker 2: evolution and development and change in their space is somebody
30:48
Speaker 2: is going to be disadvantaged somewhere, and somebody is going
30:50
Speaker 2: to be advantaged, you know, like there's going to be
30:54
Speaker 2: pros and cons for everyone.
30:56
Speaker 1: Yeah.
30:56
Speaker 2: I don't know where that starts and stops. And how
31:00
Speaker 2: how the fuck do we regulate.
31:01
Speaker 3: This stuff, mate?
31:02
Speaker 2: I mean, it's like because it's such a slippery slope. Anyway,
31:06
Speaker 2: tell me about Tesla owners that want to sue Tesla,
31:11
Speaker 2: Like there's a joint class action over.
31:14
Speaker 1: Full self driving? What is that about?
31:16
Speaker 3: Yep? So, Tesla has this FSD package that people who
31:22
Speaker 3: have bought recent test the model cars, and it's basically
31:25
Speaker 3: FSD is full self driving. And we talked about it
31:29
Speaker 3: a little bit in the last podcast about how you
31:32
Speaker 3: can use this feature. And but you still need to
31:34
Speaker 3: be sitting at the car, You still need to be
31:36
Speaker 3: sitting in the front seat, you still need to be
31:38
Speaker 3: hands ready to grab the steering wheel so that if
31:40
Speaker 3: anything was to happen, and it does make mistakes, but
31:44
Speaker 3: the problem is that a lot of people were sold
31:46
Speaker 3: on this idea and we're going back a few years
31:49
Speaker 3: ago when these new model cars were coming out where
31:52
Speaker 3: they were promised the ability to have full self driving
31:56
Speaker 3: and it hasn't been realized. So the issue is that
31:59
Speaker 3: there's a lot of pressure where people are saying, well,
32:02
Speaker 3: we paid for this advanced driver assistant feature, you know,
32:05
Speaker 3: this autopilot, the full self driving, and it hasn't come through,
32:09
Speaker 3: particularly in Australia. So in Australia there's this class action
32:13
Speaker 3: where people are saying, well, we've paid for something we
32:15
Speaker 3: didn't get, and that's the problem. You know, if you
32:18
Speaker 3: were old on this idea with a feature that you
32:20
Speaker 3: were promised that just hasn't been that and Elon Musk
32:24
Speaker 3: was kind of saying, well, we can roll it back
32:26
Speaker 3: using software, but now they've admitted that there are some cars,
32:30
Speaker 3: some of the early Tesla models just don't have that
32:32
Speaker 3: capability at all. So if you've paid for something you
32:36
Speaker 3: think you've you know you've got to get and you
32:37
Speaker 3: haven't got it, well, I think there's really good grounds
32:40
Speaker 3: to be able to say, well, I'm sorry, I want
32:43
Speaker 3: a refunder a partial refund, or you know, I get
32:46
Speaker 3: that the people are pretty peeved off about it.
32:49
Speaker 2: I reckon it's a little bit redundant the idea in
32:53
Speaker 2: Australia in that like even if if the three of
32:58
Speaker 2: us had full self driving cars, cars which have the
33:00
Speaker 2: capacity where you can essentially theoretically sit in the passenger
33:04
Speaker 2: seat program in the car and it gets you where
33:06
Speaker 2: you want to go. Because I can't see the Australian
33:09
Speaker 2: government giving this a green light anytime in the next decade,
33:12
Speaker 2: can you.
33:14
Speaker 3: I think maybe in the next decade, but at least
33:17
Speaker 3: a decade. It's getting close. I mean it's getting really,
33:20
Speaker 3: really really close. There's some really great technology and when
33:23
Speaker 3: you think of it, I mean people tend to highlight
33:25
Speaker 3: the accidents and the little.
33:26
Speaker 4: Things that go wrong, but if you think of it
33:29
Speaker 4: in terms.
33:29
Speaker 3: Of a whole lot of self driving cars on the road,
33:33
Speaker 3: their reaction time is always going to be a lot
33:35
Speaker 3: better than human reaction time.
33:37
Speaker 1: On one hundred percent.
33:39
Speaker 2: It's not often we agree, but you say you had
33:42
Speaker 2: a thousand self driving cars and a thousand Craig driving
33:47
Speaker 2: cars over an extended period of time, right, And I'm
33:50
Speaker 2: a pretty good driver. I think I've never actually had
33:52
Speaker 2: an accident. But like a bunch of humans in control
33:56
Speaker 2: or AI in control, I think statistically there's way less accidents.
34:01
Speaker 2: That doesn't mean there can't be accidents, but I think
34:04
Speaker 2: statistically and find the humans have more error than the computers.
34:08
Speaker 3: Yeah, and also because we're subject to getting tired. You know,
34:12
Speaker 3: I don't like to drive late at night purely because
34:15
Speaker 3: my circadian rhythm is that I'm an early morning person
34:18
Speaker 3: and I get tired at night. So I know that
34:21
Speaker 3: I am a less effective driver at night than I
34:24
Speaker 3: would be at five point thirty in the morning, when
34:26
Speaker 3: I feel like I'm my most invigorated and wide awake.
34:29
Speaker 3: And that's impact people. You know, emotional issues. If you've
34:33
Speaker 3: just had an argument with someone and you're feeling angry,
34:36
Speaker 3: well that's going to be reflected in what you're doing
34:38
Speaker 3: behind the wheel. How much agro do you see on
34:41
Speaker 3: the roads? I mean that's another thing as well. You know,
34:43
Speaker 3: at this stage, I haven't seen a self driving car
34:46
Speaker 3: experienced road rage.
34:48
Speaker 2: Well, if you ever see tear for and road raging,
34:51
Speaker 2: just give her a cookie.
34:53
Speaker 1: It'll all be good.
34:53
Speaker 2: In about thirty seconds, Patrick tell us about how drones
34:57
Speaker 2: are being used to combat retail hail theft.
35:01
Speaker 3: Yeah, isn't this interesting? So surveillance drones and this is
35:04
Speaker 3: a big problem. So it hasn't been rolled out quite yet,
35:08
Speaker 3: but the idea is that a lot of retailers are
35:12
Speaker 3: struggling with an ever increasing amount of theft. And I
35:16
Speaker 3: read a really interesting article a few days ago that
35:19
Speaker 3: theft actually is generational, and some younger people feel it's
35:24
Speaker 3: okay to steal. That they they don't have any sort
35:28
Speaker 3: of guilt because they feel that a retailer that has
35:31
Speaker 3: lots of money, if you flog something, it doesn't really matter.
35:35
Speaker 3: And whereas Baby Boom does fucking terrible parenting. Seriously, if
35:41
Speaker 3: you think stealing's cool, your parents are shit.
35:44
Speaker 2: Well that's that's what came out a lot of young
35:46
Speaker 2: I don't know. I shouldn't so I'll probably get in trouble.
35:48
Speaker 2: But I'm like, oh my god, what child thinks stealing's fine?
35:52
Speaker 2: Feels generational? There's a look.
35:54
Speaker 3: I can't quite it say. I don't know that's what
35:59
Speaker 3: the article said. I'm not saying yay or a but
36:01
Speaker 3: in this instance, right, So what do you think of it.
36:04
Speaker 3: I mean, I guess if you are able to have
36:08
Speaker 3: these drones that could follow a car or follow a
36:11
Speaker 3: person once they stole from a retailer and track them down,
36:16
Speaker 3: notify police and say, yeah, we're tracking this person because
36:20
Speaker 3: they're suspected of theft. Because of course it's suspected of
36:22
Speaker 3: theft until proven. I don't know, what do you reckon about, Tiff,
36:26
Speaker 3: What are you reckon aut a drone? You walk out
36:28
Speaker 3: of a department store, You just walked out of Meyer
36:30
Speaker 3: and suddenly there's a buzzing above you because you look
36:32
Speaker 3: a bit sus probably fair.
36:35
Speaker 5: Col Yeah, cool, you're on surveillance when you're in there.
36:40
Speaker 5: If you've done something wrong, so be it.
36:42
Speaker 1: Are you going to have You have a stolen anything? Patrick?
36:45
Speaker 3: Have I ever stolen it? No? I haven't stolen anything,
36:47
Speaker 3: but I did I did knowingly someone I knew that
36:51
Speaker 3: an item was placed at a lower price than what
36:54
Speaker 3: it was. So there was a toy truck and I
36:56
Speaker 3: might have been twelve or thirteen, and all of our
37:00
Speaker 3: forty six, all the other trucks were I will say
37:04
Speaker 3: it was five bucks, but this one had like two
37:07
Speaker 3: dollars on it or something, and I knowingly took it
37:09
Speaker 3: to the register and bought it knowing that the price
37:12
Speaker 3: was wrong. Is that stealing? And I didn't change the ticket.
37:16
Speaker 3: It wasn't me. I didn't take the sticker off and
37:17
Speaker 3: put a cheap sticker on it.
37:19
Speaker 2: It's technically not, I guess, but it's but that's like, well,
37:23
Speaker 2: can I tell you I almost stole you still?
37:29
Speaker 3: Oh?
37:29
Speaker 5: Yeah?
37:29
Speaker 1: No.
37:30
Speaker 2: I used to have a friend who used to pinch
37:32
Speaker 2: stuff when I was a kid, and I'm like, I
37:34
Speaker 2: didn't get it, and he's like, just take We went,
37:38
Speaker 2: I don't know where we were, and I was going
37:40
Speaker 2: to steal a packet of juicy fruit, right this is
37:43
Speaker 2: my big debut into fucking theft and crime. And he's like,
37:48
Speaker 2: just put it in your pocket, like da data, And
37:50
Speaker 2: I'm like, I really didn't want to, but I wanted
37:53
Speaker 2: him to like me because I thought he was cool.
37:55
Speaker 2: I don't know what the fuck. So anyway, I get
37:56
Speaker 2: this packet of juicy fruit. I put it in my pocket.
37:59
Speaker 2: This is my big into the world of criminality. And
38:04
Speaker 2: I get like two meters from the and I can't.
38:07
Speaker 2: I just walk back and I'm like, nah, I can't,
38:09
Speaker 2: and I just put it back on the thing, and
38:11
Speaker 2: I felt fucking terrible for like two days, even at
38:15
Speaker 2: the thought that I was going to steal something and
38:17
Speaker 2: I put it in my pocket. Even though I took
38:20
Speaker 2: I was like ten, right, so or eleven. Mary Harper
38:25
Speaker 2: will have a fucking she'll be praying for me all
38:28
Speaker 2: day today.
38:29
Speaker 1: If she hears this. But yeah, so that was my Yeah,
38:33
Speaker 1: I can't do it.
38:34
Speaker 4: I just gilt, make Catholic guilt that upbringing. That's what
38:36
Speaker 4: did it.
38:37
Speaker 3: I reckon.
38:37
Speaker 1: Well, maybe it's just an internal moral compass.
38:40
Speaker 3: Maybe can I just say that Tiff had a spatter
38:43
Speaker 3: in her pocket and you had juicy fruit.
38:47
Speaker 2: I don't know what that's the Can you tell us
38:50
Speaker 2: about why the two year ago school phone bands are
38:56
Speaker 2: either working or not working? So two years ago phones
38:58
Speaker 2: were banned in school in Australia.
39:01
Speaker 1: Did that happen? Is it working or not?
39:04
Speaker 3: It started off in Victoria, which was great and according
39:08
Speaker 3: to principles and teachers, I mean a lot of politicians
39:12
Speaker 3: and parents believe this was the way to go. And
39:15
Speaker 3: now after two years there's some real clear statistics that
39:20
Speaker 3: have come out and they're saying teachers are saying since
39:23
Speaker 3: the band they've seen stronger, lesson starts, fewer interruptions, are
39:27
Speaker 3: better flow in teaching. And the other thing is device
39:31
Speaker 3: driven conflict. Evidently there was I don't know whether it
39:34
Speaker 3: was myophon's better than your pixel phone. I'm not sure
39:36
Speaker 3: about that device driven conflict. That maybe just social media taunting,
39:40
Speaker 3: who knows, but that's fallen as well across recesses and lunches,
39:45
Speaker 3: and children are engaging more. So what it means is
39:48
Speaker 3: that because they're not sitting in the schoolyard looking at
39:51
Speaker 3: a phone, than enforced to actually interact with other students.
39:54
Speaker 3: So resoundingly, and this was the survey of a thousand
39:58
Speaker 3: public school principles. This is in the New South Wales
40:01
Speaker 3: Department of Education. They basically said that ninety five percent
40:05
Speaker 3: of principles still supported the ban, and that eighty one
40:09
Speaker 3: percent said the band had improved student learning and eighty
40:13
Speaker 3: six said had improved socialization among students. So I reckon,
40:17
Speaker 3: that's a big tick of approval, and you almost wonder
40:21
Speaker 3: whether that should happen in the workplace. You know, I
40:24
Speaker 3: had a new staff member begin with me yesterday and
40:28
Speaker 3: I know she was trying really hard on her first day,
40:30
Speaker 3: but her phone was pinging a few times, and you
40:33
Speaker 3: just saw that sudden attention totally disappear. And then even
40:39
Speaker 3: though she wasn't reaching for her phone, it was the
40:41
Speaker 3: ding on the phone. And that's the I guess the
40:44
Speaker 3: You know, there are notifications for a reason because it's
40:47
Speaker 3: drawing your attention to the fact that there's something popping
40:50
Speaker 3: up on your phone.
40:51
Speaker 4: But it is so distracting, isn't it.
40:53
Speaker 3: When the phone is on silent all the time, it
40:56
Speaker 3: never pings, never makes a sound. And in fact, when
40:58
Speaker 3: I go to a meeting, there's a really cool feature
41:00
Speaker 3: on a phone where if you put a face down,
41:02
Speaker 3: it goes into do not disturb mode. So it's a
41:04
Speaker 3: really great way when you're sitting down with someone. I
41:06
Speaker 3: find it's an etiquette thing for me. I place my
41:09
Speaker 3: phone face down and it says to the other person,
41:11
Speaker 3: you've got my attention, my phone is not going to
41:14
Speaker 3: disturb us. And I like doing that when I go
41:16
Speaker 3: into a meeting or catching up with someone.
41:20
Speaker 1: I've got a little bit of news for you. This
41:22
Speaker 1: is kind of pseudo news.
41:24
Speaker 2: I don't have all the data, but interestingly, well, I
41:28
Speaker 2: mean this is in my space, in your space. So
41:30
Speaker 2: one of the things that's been of or been an
41:34
Speaker 2: issue over the last year or two, and especially more
41:36
Speaker 2: right now than ever, is the use of AI at universities,
41:40
Speaker 2: right because students are using AI to cheat essentially, I
41:46
Speaker 2: mean we can, and the universities a little bit have
41:51
Speaker 2: put their hands in there and gone where fucked like,
41:54
Speaker 2: because you can't combat it, because the AI is so
41:58
Speaker 2: good that it can trick the know. There are programs
42:01
Speaker 2: that kind of oh what's it called. I think it's
42:05
Speaker 2: called turn it in, where they can run your paper
42:10
Speaker 2: through this program to see how much of it's been
42:12
Speaker 2: plagiarized or cut and pasted or cheated or blah blah
42:14
Speaker 2: blah blah blah. But now what a lot of the
42:18
Speaker 2: universities are doing. They're going, all right, well, AI is
42:21
Speaker 2: not going away. CHAT, GPT and the like are not
42:23
Speaker 2: going away. How do we integrate it into the programs
42:27
Speaker 2: and the courses so that it's something of a level
42:31
Speaker 2: playing field. But at the same time, the students are
42:35
Speaker 2: still actually thinking and solving problems and doing work and
42:41
Speaker 2: learning because the whole idea that, oh, we're just not
42:45
Speaker 2: going to let them use AI is just not an
42:49
Speaker 2: option anymore because it's gone beyond that. So it'll be
42:52
Speaker 2: interesting to see in academia over the next two, five,
42:58
Speaker 2: ten years what happens. Because the truth is now that
43:01
Speaker 2: people can produce an academic paper or a paper that
43:06
Speaker 2: looks like an academic paper in two hours that would
43:10
Speaker 2: have taken someone six months, you know, because it can
43:13
Speaker 2: research for you, it can do citations for you, it
43:16
Speaker 2: can reference for you, it can lay it all out
43:19
Speaker 2: for you. It's bloody. It's quite disconcerting for somebody who's
43:24
Speaker 2: just spent six years doing their PhD and has nearly finished.
43:29
Speaker 3: I don't know. Do you lock people up in a
43:31
Speaker 3: room with a fountain pen and make them write stuff?
43:34
Speaker 3: It's a hard one. I don't think there's a really
43:35
Speaker 3: good answer. I think that the logical way is what
43:38
Speaker 3: they're doing is try to integrate it and say these
43:40
Speaker 3: are the AI tools that you're allowed to use. And
43:44
Speaker 3: as you pointed out, and I think you said it
43:46
Speaker 3: earlier in the show too, that it's getting harder and
43:49
Speaker 3: harder and harder to pick what is AI generated, and
43:51
Speaker 3: that's just making life were you're second guessing everything I'm doing.
43:56
Speaker 3: I don't use social media, but I was on there
43:58
Speaker 3: recently setting up something for a client, and this clip
44:03
Speaker 3: popped up of a woman in a chicken like it
44:06
Speaker 3: was like a KFC store or something. She was quite
44:08
Speaker 3: a large looking lady and she went to the counter
44:11
Speaker 3: to order the food and then the floor collapsed underneath
44:14
Speaker 3: it because she was so large and it was AI.
44:17
Speaker 3: But before that happened, it looked so real. It looked
44:21
Speaker 3: so real. I'm thinking, what is this picture? Why am
44:23
Speaker 3: I getting this video served up? And it was just
44:25
Speaker 3: this piece of AI slop. But the problem is that
44:30
Speaker 3: it was so realistic. I didn't pick it until, of
44:32
Speaker 3: course the floor collapsed and she fell into it, and
44:34
Speaker 3: even then it looked amazingly real.
44:37
Speaker 4: But you knew it that it was so unfeasible.
44:39
Speaker 3: It was just ridiculous, But at that point you didn't
44:42
Speaker 3: realize it was something that was just AI, totally AI created.
44:47
Speaker 2: Well, I'm a little bit disappointed in you because I
44:50
Speaker 2: didn't want to tell you this till the end of
44:51
Speaker 2: the show. But I'm actually in the city this morning
44:54
Speaker 2: doing a presentation, so you've been chatting with AI Craig
44:59
Speaker 2: all morning and you didn't even pick it.
45:01
Speaker 3: It's so stupid. It's dumb thing. It is so accurate,
45:05
Speaker 3: isn't it, Tiff, what.
45:06
Speaker 1: Are your Yeah?
45:08
Speaker 2: Yeah, and how real does the huge nose look? Yeah, well,
45:12
Speaker 2: that's hurtful both of you.
45:14
Speaker 4: I'm going into the city today too, Craigo.
45:16
Speaker 2: I'm actually in there right now doing a gig. Tell
45:20
Speaker 2: me what the pope has just pooh poohed. I feel
45:24
Speaker 2: like I'm so glad you could weave something Catholic into
45:27
Speaker 2: our technology discussion.
45:29
Speaker 3: Look, I think that's important for you as a well. Actually,
45:32
Speaker 3: and me now that I think of it, because I
45:34
Speaker 3: tried to get excommunicated from the church. I actually wrote
45:37
Speaker 3: a letter in Penn in Fountain, pen to the Archbishop
45:41
Speaker 3: of Melbourne, but he ignored me. I was very disappointed.
45:44
Speaker 3: I'm still reeling from that to not another letter.
45:46
Speaker 2: I don't think you know, I think you can just
45:48
Speaker 2: go I'm not on the team anymore.
45:49
Speaker 1: See you later.
45:50
Speaker 4: Yeah, but now you've got.
45:51
Speaker 3: To get the letter. You've got to get the official
45:53
Speaker 3: letter of excommunication, which a lot of Catholics out there
45:55
Speaker 3: are reeling about because it's a real bad thing to
45:58
Speaker 3: get excommunicated from the church. But I did actually actively
46:01
Speaker 3: try to because I feel that when they do a census,
46:04
Speaker 3: I wanted all my parish records to be expunged, so
46:08
Speaker 3: they can't count me as a Catholic because they tend
46:10
Speaker 3: to like to do that and say we've got these
46:12
Speaker 3: many Catholics in Australia. It's like, yeah, but I didn't
46:14
Speaker 3: vote to be here, so I'd like not to be
46:17
Speaker 3: in the group. I love my friends who are Catholics,
46:20
Speaker 3: but I just don't want to be one anyway. Sorry,
46:22
Speaker 3: we were talking about the pope went' we that took
46:24
Speaker 3: me down.
46:26
Speaker 2: Talk about deer in the headlights, talk about dog with
46:32
Speaker 2: three dicks?
46:33
Speaker 1: What concentrate? What adhd.
46:38
Speaker 3: Oh dear? Anyway? So the Pope, so yeah, the popes
46:41
Speaker 3: come out and said he's condemned This is very specific.
46:44
Speaker 3: He's condemned clickbait, right, like the Pope, right, the head
46:51
Speaker 3: of the Catholic Church, you know, el Papa, Pope Leo,
46:55
Speaker 3: That Pope Leo the fourteenth is it? I think it's
46:57
Speaker 3: the fourteenth. I'm discounting now. I'm pretty sure he's fourteenth.
47:00
Speaker 3: Someone's going to correct me. So he's condemned clickbait, saying
47:03
Speaker 3: that it's great, it's a degrading part of journalism. So
47:07
Speaker 3: he had journalists there. He was giving a talk to
47:10
Speaker 3: journalists including some Australian journalists and he's patting them on
47:13
Speaker 3: the back and then he gives them a whack over
47:14
Speaker 3: the back of their head. And this well metaphorically because
47:17
Speaker 3: he says that clickbait is degrading. He said that. You know,
47:22
Speaker 3: he's a proactive supporter of journalism, but he feels that
47:26
Speaker 3: communication needs to be freed from the misguided thinking that
47:29
Speaker 3: corrupts it, from unfair competition and the degrading practice of
47:33
Speaker 3: so called clickbait. So he says, clickbait is sensationalist. It's
47:39
Speaker 3: hyperbolic headline that entices online readers to click into a
47:43
Speaker 3: story by admit omitting key information. That's it. That's the Pope.
47:48
Speaker 1: Exactly.
47:49
Speaker 2: He's exactly right, and it's not going away, Pope. So,
47:52
Speaker 2: I mean, exactly you just described and that's not going
47:56
Speaker 2: to stop. I mean, also, why have we had fourteen
48:00
Speaker 2: hope leos? Are not one Pope Darren or Scott or
48:02
Speaker 2: Brian or one scot Pope Patrick. I wonder if Patrick
48:07
Speaker 2: does almost sound Papal does it.
48:10
Speaker 3: It's kind of a wonderful.
48:11
Speaker 2: It sounds it's quite catholic. Let's do let's do another
48:14
Speaker 2: one or two. Let's talk about Ozzie's having their data
48:20
Speaker 2: stolen and like, how that's happening.
48:24
Speaker 3: Yeah, it is typically a real problem. So in Australia
48:28
Speaker 3: we have a thing called the Australian Signals Directorate. Okay,
48:32
Speaker 3: it sounds pretty kind of pretty full on, doesn't it really.
48:36
Speaker 3: I think it's a great name anyway. So last year
48:39
Speaker 3: individual victims of cybercrime lost on average thirty three thousand dollars,
48:43
Speaker 3: a big increase, an eight percent increase. And the problem
48:47
Speaker 3: is that this kind of body that looks into this stuff,
48:51
Speaker 3: the Signals director it is saying what we need to
48:54
Speaker 3: do is make sure people aren't just using usernames and passwords,
48:58
Speaker 3: that it's become redundant, that this is one of the
49:01
Speaker 3: big problems this. Abigail Bradshaw is the ASD Director of
49:07
Speaker 3: the Dead Director General, and she was speaking on SBS
49:11
Speaker 3: and she basically said, we've got to move away from passwords.
49:14
Speaker 3: We need multi factor authentication because that's how a lot
49:18
Speaker 3: of people so it's being scammed. So the thing is
49:22
Speaker 3: it's now not hackers that are hacking in. It's really
49:26
Speaker 3: clever people fooling people into getting their usernames and passwords
49:31
Speaker 3: so they're not hacking into corporations. They're calling and I
49:35
Speaker 3: think the Quantus Data League recently, because of course this
49:38
Speaker 3: is massive, eight million Quantus customers, all them, you know,
49:41
Speaker 3: because this played out about a week ago where there
49:45
Speaker 3: was a hack into a system I think with sales
49:49
Speaker 3: Force was the program that had all the data in it,
49:51
Speaker 3: and someone called a call center overseas and convinced them
49:55
Speaker 3: that they were a technician and needed access, and that's
49:59
Speaker 3: how the hackers got into the didn't actually hack in,
50:01
Speaker 3: they sweet talk their way in and they managed to
50:04
Speaker 3: then get access to all this data. They tried to
50:07
Speaker 3: extort the money from Quantus, saying, if you don't give
50:10
Speaker 3: us x amount of dollars, we're going to release this
50:13
Speaker 3: information on the dark web. Quantus like the right thing
50:17
Speaker 3: to do, and that's the problem because governments are saying,
50:20
Speaker 3: don't let don't give money to hackers, don't give people
50:24
Speaker 3: the money people are extorting money, extorting the money. Don't
50:27
Speaker 3: give it to them because just encourages them. So then
50:29
Speaker 3: they released this information on the dark web and potentially,
50:32
Speaker 3: now if you're a Quantus, you know, if you're part
50:36
Speaker 3: of the Quantus database, then potentially you're user name, your
50:39
Speaker 3: pass word, your address, information related to you for identity
50:43
Speaker 3: theft is now out in the real space and this
50:46
Speaker 3: is the big concern for the Signals Directorate that this
50:48
Speaker 3: is now one of the most common ways. When I
50:51
Speaker 3: log into my bank account, I have a secret code
50:54
Speaker 3: that gets sent to my phone and that's multi factoring
50:57
Speaker 3: for authentication. And so really if you are and even
51:02
Speaker 3: our websites, when we do a website for a client,
51:04
Speaker 3: we give them multi factor authentication to log into their sites.
51:08
Speaker 3: So I guess as consumers we need to be insisting
51:13
Speaker 3: to whatever service we use, whether we're logging into a
51:16
Speaker 3: website and putting out credit card information because we want
51:20
Speaker 3: to buy something, we need to push that and say,
51:23
Speaker 3: well wait a minute, if you don't have multi factor authentication,
51:27
Speaker 3: I'm not going to give you my details. So there
51:29
Speaker 3: should be more pressure in that sense, and we should
51:31
Speaker 3: be more discerning about what we do online based on
51:35
Speaker 3: the secure level of security. And if it's just to
51:38
Speaker 3: use an over password, then maybe that's just not good
51:40
Speaker 3: enough in this day and age.
51:42
Speaker 2: Love it last one, last one. So Elon Musk people
51:47
Speaker 2: know created a thing quite a while ago now called neurallink,
51:50
Speaker 2: which is essentially an implant. It's a brain chip, goes
51:53
Speaker 2: inside your skull sits on just on the surface of
51:57
Speaker 2: your brain, which is my understanding. Ascent gives your brain
52:01
Speaker 2: access to the Internet, which is so you can you
52:04
Speaker 2: can google shit inside your head, Patrick if Well. And
52:10
Speaker 2: the story is that ten thousand people have signed up
52:13
Speaker 2: for this, which is mind blowing because who the fuck
52:17
Speaker 2: knows what's going to happen. I'm just putting something foreign.
52:21
Speaker 2: Putting something that's made of hardware in your brain unless
52:26
Speaker 2: you really need it to me, is fraught with danger.
52:29
Speaker 2: But let's say there was no danger and it was
52:32
Speaker 2: one hundred percent safe.
52:33
Speaker 1: Would you do it?
52:34
Speaker 3: Patrick, I'm going to roll it back one. I'm going
52:36
Speaker 3: to say right now as it is, including the danger
52:40
Speaker 3: if I had murder your own disease, and I was
52:43
Speaker 3: trapped in my own body and not able to move,
52:45
Speaker 3: having experienced that with a very dear friend of mine
52:48
Speaker 3: who passed away a few years back, three years ago,
52:51
Speaker 3: from your own disease, where you basically lose all control
52:55
Speaker 3: of your body, speak, movement, all that sort of stuff.
52:59
Speaker 3: I would jump with anything it take off the back
53:02
Speaker 3: of my head and plug in a computer. So I
53:04
Speaker 3: think it's a circumstantial thing. If I knew I only
53:07
Speaker 3: had six months left to live and I was trapped
53:09
Speaker 3: in my own body, I would be plugging in as
53:12
Speaker 3: many things into my head as possible, if that meant
53:15
Speaker 3: I could at least have some way to interact with
53:17
Speaker 3: the world. So I think it's circumstantial.
53:20
Speaker 1: And back to my question, Patrick, would you do it?
53:23
Speaker 2: And you don't have mode in you're on, you have
53:26
Speaker 2: an ability to not answer my fucking question and tell
53:29
Speaker 2: a story about just yes or no.
53:32
Speaker 5: No.
53:32
Speaker 4: It's not a use or no answer.
53:34
Speaker 1: I think it's a yes.
53:35
Speaker 2: It is like right now, as you are now, as
53:39
Speaker 2: you are now, if it was safe.
53:41
Speaker 1: Would you do it?
53:42
Speaker 3: If it was safe one hundred percent tested and rigorously tested?
53:48
Speaker 2: Yes, So fuck you could have just said that in
53:50
Speaker 2: the first place, telling us about mode in your own disease,
53:55
Speaker 2: which we do support MND and Neil Danaher and the
53:59
Speaker 2: work he does.
54:00
Speaker 1: Tiff, would you do it?
54:02
Speaker 5: I don't know.
54:02
Speaker 1: If it was one hundred percent safe.
54:04
Speaker 5: I don't know. I hope I don't have to have
54:08
Speaker 5: them ever have to make the decision. I hope it
54:11
Speaker 5: doesn't happen that fast.
54:13
Speaker 2: You will if it was one hundred percent no, No,
54:17
Speaker 2: I would just rather access the information in the old
54:19
Speaker 2: fashioned way. But then maybe that's just because I'm a
54:23
Speaker 2: scaredy cat, and maybe Patrick, you're right.
54:26
Speaker 1: I don't know.
54:26
Speaker 2: I don't think there's a right or wrong, but just
54:28
Speaker 2: my my gut, my intuition says no.
54:31
Speaker 3: Can I just talk about how absolutely lazy that I
54:34
Speaker 3: sometimes can be? So if I wake up in the morning,
54:38
Speaker 3: I've now got I talk to my Google home speaker
54:40
Speaker 3: to add calendon entries into my diary, which is good
54:43
Speaker 3: because if you wake up at two am and you've
54:45
Speaker 3: got all these things going on but you don't want
54:46
Speaker 3: to turn the lights on, I can talk to Google
54:48
Speaker 3: and get it to add that information.
54:50
Speaker 4: But sometimes I'm.
54:51
Speaker 1: So Google the name of your boyfriend.
54:53
Speaker 3: Yes, and Scott maybe say Scotty, Oh my god, they interchangeable. Maybe.
55:02
Speaker 4: So the thing is.
55:03
Speaker 2: How many funny, hilarious, entertaining things I could say right now,
55:07
Speaker 2: but I can't. Are the three people that send me
55:10
Speaker 2: emails all the time?
55:11
Speaker 3: You go on, But sometimes I'm still in that you know,
55:14
Speaker 3: when you're in that drowsy half awake time of twilight zone. Yeah, yeah,
55:20
Speaker 3: and you're too lazy to even speak to Google or
55:24
Speaker 3: too zonked out to speak to Google. If I had
55:26
Speaker 3: that neural link chip, I could just think it and
55:29
Speaker 3: not have to articulate it, so I don't even have
55:31
Speaker 3: to speak to add that calendar note. See that would
55:34
Speaker 3: be good.
55:35
Speaker 2: I'm glad you delayed the end of the show for that,
55:37
Speaker 2: because that was fucking great.
55:42
Speaker 1: In your head? What goes on? Oh we love you.
55:48
Speaker 1: I've just taken the p one ss.
55:50
Speaker 3: But if I had neurallink, I could plug my head
55:52
Speaker 3: into your head and then you would know what was
55:54
Speaker 3: going on in my head.
55:55
Speaker 2: I could And if you had neurallink, you could download
55:58
Speaker 2: your download your dreams and sect them later in the day.
56:01
Speaker 3: It'd be awesome. I'd love to I have so many good,
56:03
Speaker 3: vivid dreams. I dream so much.
56:06
Speaker 2: Patrick, Speaking of dreams, people who are dreaming to connect
56:10
Speaker 2: with you and get you to help them develop their website, etc.
56:17
Speaker 2: And business and branding and marketing.
56:19
Speaker 1: How can they do that?
56:20
Speaker 3: Just go to websitesnow, dot com doday. You really the worst?
56:25
Speaker 1: And that was the worst fucking segue of all time.
56:28
Speaker 3: Me, I'm not as bad in the real world. It's
56:31
Speaker 3: Craig just brings out the worst in me. So if
56:34
Speaker 3: you if you want to talk to me about important things.
56:38
Speaker 1: All right, we're going to go. Thank you, Patrick, thank
56:41
Speaker 1: you TIV.
56:42
Speaker 3: See you guys,