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Hey everyone, welcome back to another

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episode of Digital Nexus.

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We've got some exciting news on today.

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We deep dive into a lot of the statistics

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that are happening out there in

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relation to the use of AI in business,

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within use of our individuals, use of AI,

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even in Australia itself.

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Mark, what else are we talking about?

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We highlight things in the educational

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space and just some changes going on at

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OpenAI, as well as just some things that

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I've been up to in terms of building

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some new apps that I can show and a big

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old competition for anyone that is

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interested in creative

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writing right at the end.

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So make sure you watch all the way to the

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end to get details on this

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massive prize pool.

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Yeah, that's it for me.

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Sounds good.

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Look forward to seeing you there.

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Let's go.

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Oh, mate, how's it going?

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Episode 29.

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What's going on this week?

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What have you done?

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Yeah, man, it's been a week actually.

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There's a lot going on.

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I have like really exciting

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news on one of the startups.

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We've managed to partner with a developer

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that's helped us scale things out.

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So it's super cool.

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We're going to hopefully get that first

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MVP out very, very soon.

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Now I'm really pumped to start sharing

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that out with some business early stage

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customers that do it going through the

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right process to

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validate and test rapidly.

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So that's super, super exciting.

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Some good news.

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I'm just reminded of the Simpsons where

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he's like he's a VIP and it's like

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home is like, oh, what

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does the V stand for?

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Vary and the I important and the P and

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then what does the V stand for again?

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Anyway, so most

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important, valuable, whatever.

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But no, sorry, go on.

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What was the MVP?

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The minimal valuable product.

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But yes, the minimal viable product,

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valuable product, everyone changes.

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I've literally, I did a presentation.

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We'll talk about this actually later.

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I presented to some MBA students

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yesterday on the product

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development path and I sort

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of talked through processes, but most

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interestingly talked

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about the application

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of AI and the tools that I can utilize in

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the space, but I went

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deep into some of the

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definitions of the different

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terminologies around prototyping from

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your proof of concept

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to your prototype, to your MVP or your

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most like minimal value driven product,

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MVDP to your MMMP, which is

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your minimal marketable product.

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It's like all these new terms that are

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getting thrown out there because people

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either don't align with MVP or they don't

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align with prototype

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or, you know, a large

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scale organizations, they

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tend to take less risks.

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So they jump straight into a product

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that's been more rounded

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and waste tons of money.

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And we spoke about that last week.

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We spoke about a little bit about that

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last week because it was that, you know,

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about the indie dev problem, but it's not

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just indie developers

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for like games, but just

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like anyone developing stuff that just

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tinker too much and

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doesn't actually get enough out

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there. So it's good

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that you did that video.

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And I thought you said NDA, you know, the

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basketball playoffs are on.

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Oh, NBA, no.

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NDA students. Wow.

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So they're getting into AI.

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I mean, they've got so much money.

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They're just, you know, they're trying to

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look at new things to invest in.

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So why not?

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Yeah, yeah, exactly.

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Exactly.

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I mean, that's great.

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So takeaways from that, you know, what's

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your kind of consensus

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feel of like where the

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future, you know, the next generation,

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the next crop of

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inventors is like, do you think

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that they are going to be in a good spot

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or do you fear for the future?

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Oh, man, I definitely

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fear for our future.

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Well, I don't think

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it's the do it students.

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That's just to do it.

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And these are quite true of people.

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Obviously, they're NBA.

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So a lot of them already have a lot of

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world experience that the

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future is dark because of

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other things.

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But we're older.

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But we're older.

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It's okay.

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The I think it's good that they were very

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interested in the AI

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space and how it can apply

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to their thinking and their work and

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accelerate the things that they're doing.

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And the questions I came up with back of

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it were really good as well.

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So they were really good to learn and

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understand the

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application for themselves.

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It always comes back

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to the why of it, right?

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So when you're making decisions on which

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tool to use and where I

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need to get to, it's a

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matter of understanding, all right, what

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are my goals and what is

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the fastest way I can get

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to that in the most, you know, with the

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most quality type of solution.

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You don't want to just jump, switch if

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you're building

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business, you don't want to just

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jump into something, start building it

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and be like, oh, yeah.

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And then find you've just wasted months

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or weeks playing with

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something that just wasn't

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working for the right purpose.

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So start with your why always and roll

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out your decisions from there.

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Mate, I love it.

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Start with why is

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definitely a great way to do it.

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Yeah, that's it.

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Different purpose, but yes.

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I wonder if it's Simon Sennick or my

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little cousin when I was

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like 11 years old and like,

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I met my little American cousin, like we

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were back in the

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Philippines and he was just why?

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Why?

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Why?

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And she starts with why she ended with

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why it's still, you know, it's all right.

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My daughter's doing exactly the same

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thing right now, just like,

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it's like the seven why's.

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It always she always wants to get to the

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bottom of what the real issue is.

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And we forget that we forget we lose that

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as adults, we just

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accept her and, you know, just

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need to bring back that

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childish curiosity, right?

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Yeah, we do.

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That is absolutely true.

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What about you, Mark?

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What's been happening in

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your in your beautiful world?

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Oh, mate, a couple of things

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that have been interesting.

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You know, I didn't have meetings in front

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of like MBA students, not meeting the

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presentations in front of MBA students,

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but I am prepping for a

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presentation to a whole

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bunch of not for profits.

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And as you and I know, Chris, we run a

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not for profit in the

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Australian DeFi Association

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and being able to not just talk to these

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people from wearing the

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not centralized my venture

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studio hat and doing the AI kind of like

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spiel there, but also

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showing an example like

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it's this is not just we're talking about

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and trying to sell people.

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I don't know.

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We actually use this stuff in how we

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engage the community

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with the Australian DeFi

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Association.

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So getting to showcase that in a few

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weeks time will be good.

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We were just prepping for it this week

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myself and another group

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of presenters from a company

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called Intuit.

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And then also this week, there's a whole

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bunch of just things

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that I've been building.

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I'll show you

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something a little bit later.

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The success of ETF tracker has begotten.

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Is that the right word?

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It's come before it's begot.

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It's out of there.

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It's like sounds like

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forgotten, but it's like that's not it.

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I'm feeling like quite

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what's the word for it, Chris?

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I'm feeling quite old school languagey

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just because, you know, an

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old school tradition of the

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Pope, the new Pope is out.

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But like, we'll jump to that.

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But just wanted to say that I'll showcase

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something that I've

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been building in inspired,

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inspired, if you will, from our ETF

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tracker, which now has over 800 users.

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Would you believe it?

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You know, from that

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thing that started off.

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I don't know.

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It's like the 10,000.

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That's amazing.

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This is a perfect example of prototyping

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and like putting something

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out there and testing and

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validating it.

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Amazing.

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Yeah, yeah, absolutely.

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And so I'm going to do something that I

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think has far more reach

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to do with superannuation.

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So watch this.

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Yeah.

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Yes, the dark horse of the

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Australian investment world.

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Yep, that's it.

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So so there's a whole heap of other

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things I'll cover and

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highlight, but I'm very happy to get

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into the news and we'll go through some

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stuff as we go along.

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But yeah, this morning, Chris, it's we

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filmed this on the 9th of May, folks.

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So that is a very important day in the

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holy calendar just because

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for those that are Catholic,

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they they get a new Pope.

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I believe we want to talk

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about that a little bit.

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Is that happening today?

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That's the big

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decision maker this morning.

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That has happened.

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So it literally like I had meetings here

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01:08:04,583 --> 01:08:08,291
in the office sort of at 8 a.m., about 7

284
01:08:08,291 --> 01:08:11,291
30 Sydney time this Friday.

285
01:08:11,625 --> 01:08:13,583
So I think it's yeah, it's just been

286
01:08:13,583 --> 01:08:16,333
announced and it is a surprise.

287
01:08:17,041 --> 01:08:18,416
There were the front runners.

288
01:08:18,416 --> 01:08:19,625
There was a Filipino, which

289
01:08:19,625 --> 01:08:21,916
was called Cardinal Tagle.

290
01:08:22,166 --> 01:08:24,166
And then there was like maybe two

291
01:08:24,166 --> 01:08:25,958
Italians and one of them, he had a great

292
01:08:25,958 --> 01:08:29,041
name, Pierre Batista Pizzabala.

293
01:08:30,000 --> 01:08:32,958
I kid you not, Pierre Batista.

294
01:08:33,875 --> 01:08:34,708
Bless you. I know.

295
01:08:35,000 --> 01:08:37,000
I know. Pizzabala. Pizzabala.

296
01:08:37,458 --> 01:08:38,541
So yeah, but he was

297
01:08:38,541 --> 01:08:39,625
not the one that it was.

298
01:08:40,333 --> 01:08:41,958
It was an important Mr.

299
01:08:42,333 --> 01:08:43,416
Leo. Yeah.

300
01:08:44,416 --> 01:08:47,583
Pope Leo, now the 14th.

301
01:08:48,500 --> 01:08:49,750
As Cardinal Robert

302
01:08:49,750 --> 01:08:52,000
Prevos becomes the first.

303
01:08:52,333 --> 01:08:53,833
Yeah.

304
01:08:54,500 --> 01:08:55,416
So exciting.

305
01:08:55,791 --> 01:08:56,458
Oh, that's fantastic.

306
01:08:57,250 --> 01:08:58,500
Yeah, crazy, crazy.

307
01:08:58,875 --> 01:09:01,125
But I mean, on that note, what the like

308
01:09:01,125 --> 01:09:03,000
what in the shambled

309
01:09:03,500 --> 01:09:06,333
ridiculousness was, you know, the

310
01:09:06,333 --> 01:09:07,666
president of the United States.

311
01:09:08,083 --> 01:09:10,000
Yeah. Trying not to swear right now,

312
01:09:10,000 --> 01:09:11,583
thinking with what he was,

313
01:09:12,416 --> 01:09:13,250
what he had posted out there

314
01:09:13,250 --> 01:09:15,666
and even some of the responses of people

315
01:09:15,666 --> 01:09:17,041
out there in the social space.

316
01:09:17,375 --> 01:09:19,375
Americans just going.

317
01:09:20,000 --> 01:09:22,000
Just saying things like, oh, I think they

318
01:09:22,000 --> 01:09:23,041
need to be open minded

319
01:09:23,041 --> 01:09:25,041
around who the Pope could be.

320
01:09:25,041 --> 01:09:26,708
And I think this is a great opportunity

321
01:09:26,708 --> 01:09:28,833
for them to like to have

322
01:09:28,833 --> 01:09:30,291
someone like this as their Pope.

323
01:09:30,916 --> 01:09:32,458
Like what? Let's just pull this picture.

324
01:09:32,458 --> 01:09:33,750
This is this is insane.

325
01:09:34,250 --> 01:09:36,625
Sure. Let's go to you to do you want to

326
01:09:36,625 --> 01:09:37,583
grab the screen share?

327
01:09:38,083 --> 01:09:38,958
Yeah, I know I'm good.

328
01:09:40,291 --> 01:09:41,041
All right, folks.

329
01:09:41,666 --> 01:09:43,166
And enjoy, you know, just while you've

330
01:09:43,166 --> 01:09:44,041
got it on screen there,

331
01:09:45,250 --> 01:09:47,958
the chibi pet, Chris and Mark.

332
01:09:48,875 --> 01:09:51,416
I think that's, you know, we'll probably

333
01:09:51,416 --> 01:09:52,583
have to get an upgrade of that.

334
01:09:53,500 --> 01:09:55,541
It is pretty spot on with my outfit.

335
01:09:56,166 --> 01:09:56,791
It's pretty funny.

336
01:09:57,166 --> 01:09:57,708
I'm not wearing that

337
01:09:57,708 --> 01:09:58,791
today, but a college.

338
01:09:59,750 --> 01:10:02,708
So, yeah, so Trump, it's

339
01:10:02,708 --> 01:10:04,333
like, I mean, he called it a joke.

340
01:10:04,333 --> 01:10:05,583
I just want to show you this image.

341
01:10:05,583 --> 01:10:08,625
It like this was his picture to someone

342
01:10:08,625 --> 01:10:11,708
with AI generated a picture of Mr.

343
01:10:11,750 --> 01:10:15,916
Trump as dressed up as the Pope and then

344
01:10:15,916 --> 01:10:19,583
proceeded to post it on X saying how, you

345
01:10:19,583 --> 01:10:22,291
know, this is the this could be it.

346
01:10:22,291 --> 01:10:23,375
I could be the Pope.

347
01:10:24,000 --> 01:10:25,291
I'm paraphrasing, obviously.

348
01:10:27,750 --> 01:10:29,541
It's it's ridiculous because they

349
01:10:29,541 --> 01:10:31,375
actually like this is days

350
01:10:31,375 --> 01:10:34,000
after he had just passed.

351
01:10:34,791 --> 01:10:36,541
Like just the the

352
01:10:36,541 --> 01:10:37,875
mindset to go, you know what?

353
01:10:38,375 --> 01:10:39,916
I think this would be a funny thing to

354
01:10:39,916 --> 01:10:42,125
talk about after this really important

355
01:10:42,125 --> 01:10:44,500
global figure passes away and people are

356
01:10:44,500 --> 01:10:46,041
a whole culture of

357
01:10:46,041 --> 01:10:47,000
people are in mourning.

358
01:10:47,666 --> 01:10:49,916
Does this just I just baffles the mind.

359
01:10:49,916 --> 01:10:51,041
But I mean, here's a here's an

360
01:10:51,041 --> 01:10:51,958
interesting terrible

361
01:10:51,958 --> 01:10:53,916
use of of AI in practice.

362
01:10:54,875 --> 01:10:56,708
Yeah, exactly. I mean, the fact that it's

363
01:10:58,166 --> 01:10:59,583
the fact that it's it's an American

364
01:10:59,583 --> 01:11:02,166
power, but nothing against Cardinal

365
01:11:02,166 --> 01:11:03,708
Provost now, Pope Leo.

366
01:11:04,250 --> 01:11:07,458
But I do wonder if supposedly there's

367
01:11:07,458 --> 01:11:10,041
there's no lines in of communication once

368
01:11:10,041 --> 01:11:11,458
Conclave kind of happens.

369
01:11:11,458 --> 01:11:12,875
But this was days before.

370
01:11:12,875 --> 01:11:13,791
What's the date on this?

371
01:11:14,583 --> 01:11:16,291
Like this is a new story, but it came out

372
01:11:16,291 --> 01:11:17,375
like the post would

373
01:11:17,375 --> 01:11:18,333
have been before this.

374
01:11:18,333 --> 01:11:19,250
Right. So this is this is

375
01:11:19,250 --> 01:11:20,416
this post was him apologizing.

376
01:11:20,708 --> 01:11:21,958
So this only came out a couple of few

377
01:11:21,958 --> 01:11:22,708
days ago in the sixth.

378
01:11:22,708 --> 01:11:23,791
But I'm pretty sure it was only a couple

379
01:11:23,791 --> 01:11:26,041
of days after he originally posted like a

380
01:11:26,041 --> 01:11:29,333
few days after the Pope had passed.

381
01:11:29,666 --> 01:11:31,375
So this would have been, you know, three

382
01:11:31,375 --> 01:11:32,875
or four days just after Easter.

383
01:11:34,875 --> 01:11:39,166
Right. It's it's I'm surprised that, you

384
01:11:39,166 --> 01:11:40,125
know, there's the offense

385
01:11:40,125 --> 01:11:41,833
that I wonder if you use.

386
01:11:41,833 --> 01:11:42,583
Chubby ate it.

387
01:11:42,916 --> 01:11:44,333
Probably why not. Right.

388
01:11:45,291 --> 01:11:47,041
But then, you know, the fact that we've

389
01:11:47,041 --> 01:11:47,791
got an American and

390
01:11:47,791 --> 01:11:49,958
nothing against Cardinal Provost.

391
01:11:50,250 --> 01:11:51,166
There are qualities

392
01:11:51,166 --> 01:11:52,375
that are highlighted there.

393
01:11:52,375 --> 01:11:53,375
But just given this is the

394
01:11:53,375 --> 01:11:54,250
first time I'd seen this.

395
01:11:54,583 --> 01:11:57,375
I'm surprised that, you know, maybe this

396
01:11:57,375 --> 01:11:58,375
was taken into account.

397
01:11:58,375 --> 01:11:59,125
Maybe this is a way

398
01:11:59,125 --> 01:12:00,375
for Trump to influence.

399
01:12:01,583 --> 01:12:03,708
I hope not. I really do.

400
01:12:04,416 --> 01:12:05,708
Oh, God, he's got enough input.

401
01:12:06,625 --> 01:12:08,041
Let's continue. I like to speak of deep

402
01:12:08,041 --> 01:12:08,875
fakes at pulling things

403
01:12:08,875 --> 01:12:10,666
back into our country.

404
01:12:11,541 --> 01:12:13,500
So obviously there's been a lot of

405
01:12:13,500 --> 01:12:14,958
concerns around this overseas.

406
01:12:15,416 --> 01:12:17,458
I know people places like the UK, I think

407
01:12:17,458 --> 01:12:19,083
even places like California and the

408
01:12:19,083 --> 01:12:20,583
States have started to put things

409
01:12:21,000 --> 01:12:23,541
and policies in around the use of AI,

410
01:12:23,541 --> 01:12:25,041
whether it's deep fakes for individuals,

411
01:12:25,333 --> 01:12:25,833
a lot of, you know,

412
01:12:26,666 --> 01:12:27,833
misuse of it to represent.

413
01:12:28,250 --> 01:12:29,458
That's that's pretty real, like how

414
01:12:29,458 --> 01:12:31,541
people are misusing it against women,

415
01:12:31,541 --> 01:12:32,416
which is really terrible.

416
01:12:32,791 --> 01:12:33,375
And a lot of laws are

417
01:12:33,375 --> 01:12:34,250
passed in those countries.

418
01:12:34,250 --> 01:12:35,958
So I think South Australia is one of the

419
01:12:35,958 --> 01:12:38,666
first in Australia just looking properly,

420
01:12:38,666 --> 01:12:39,791
looking at how they

421
01:12:39,791 --> 01:12:41,583
criminalize AI deep fakes.

422
01:12:42,583 --> 01:12:43,583
It's a really interesting here.

423
01:12:43,583 --> 01:12:44,833
So these sorts of images have been

424
01:12:44,833 --> 01:12:45,708
increasing quite

425
01:12:45,708 --> 01:12:48,000
significantly, not just in Australia.

426
01:12:48,000 --> 01:12:49,291
This is across the entire world.

427
01:12:50,208 --> 01:12:51,583
Ninety percent of deep fakes are

428
01:12:51,583 --> 01:12:53,000
non-consensual and

429
01:12:53,000 --> 01:12:54,375
pornographic, as I highlighted before.

430
01:12:54,583 --> 01:12:58,000
And as I mentioned, it's definitely a

431
01:12:58,000 --> 01:13:00,833
very gender-favored towards men doing bad

432
01:13:00,833 --> 01:13:02,250
stuff for women, which is awful.

433
01:13:03,208 --> 01:13:04,500
Anyone who feels entitled enough to

434
01:13:04,500 --> 01:13:05,166
exploit this,

435
01:13:05,166 --> 01:13:07,041
obviously is absolutely right.

436
01:13:07,041 --> 01:13:09,166
It should feel a full force of the law

437
01:13:09,166 --> 01:13:10,041
come down upon them.

438
01:13:10,416 --> 01:13:11,916
So they're putting down in fines as much

439
01:13:11,916 --> 01:13:13,791
as twenty thousand dollars for people who

440
01:13:13,791 --> 01:13:15,000
are publicly creating

441
01:13:15,000 --> 01:13:16,750
this content for misuse.

442
01:13:17,583 --> 01:13:18,208
So I think I think that's

443
01:13:18,208 --> 01:13:19,291
a it's a positive thing.

444
01:13:19,333 --> 01:13:21,000
And like more of this stuff will start to

445
01:13:21,000 --> 01:13:24,166
occur in countries that are thinking

446
01:13:24,166 --> 01:13:26,500
about how they can protect the people.

447
01:13:27,291 --> 01:13:29,541
Yeah, great. So, yeah, it's an

448
01:13:29,541 --> 01:13:30,875
interesting thing there.

449
01:13:31,083 --> 01:13:33,041
It's good that they're taking a stance on

450
01:13:33,041 --> 01:13:35,458
that because, you know, people do wonder,

451
01:13:35,458 --> 01:13:37,458
like, is this just

452
01:13:37,458 --> 01:13:38,375
being allowed to happen?

453
01:13:38,666 --> 01:13:40,208
I think that it's under the companies

454
01:13:40,208 --> 01:13:41,583
that can really do something there.

455
01:13:41,583 --> 01:13:43,416
But if the government's stepping in, that

456
01:13:43,416 --> 01:13:45,166
can be that extra added kind

457
01:13:45,166 --> 01:13:47,541
of weight to this sort of stuff.

458
01:13:47,583 --> 01:13:49,791
So it's it's absolutely necessary. So I

459
01:13:49,791 --> 01:13:51,666
think it's good to to see this kind of

460
01:13:51,666 --> 01:13:52,666
stuff being created.

461
01:13:52,875 --> 01:13:55,875
But as with all kind of laws and stuff,

462
01:13:55,875 --> 01:13:56,708
there is always a

463
01:13:56,708 --> 01:13:57,875
libertarian kind of view.

464
01:13:58,041 --> 01:13:59,708
Like, should we even have these and stuff

465
01:13:59,708 --> 01:14:01,791
and can we not just police it ourselves?

466
01:14:01,791 --> 01:14:03,125
And it's like I would just look to the

467
01:14:03,125 --> 01:14:05,291
effects if you can't if the industry

468
01:14:05,291 --> 01:14:06,083
can't like do it

469
01:14:06,083 --> 01:14:08,166
themselves and create it themselves,

470
01:14:08,333 --> 01:14:10,041
then they should expect that the full

471
01:14:10,041 --> 01:14:12,583
force of regulators is going to come down

472
01:14:12,583 --> 01:14:13,916
and that we see it in blockchain space,

473
01:14:14,000 --> 01:14:15,625
which is why there's many that are

474
01:14:15,625 --> 01:14:17,208
fighting to showcase that

475
01:14:17,208 --> 01:14:18,791
the industry can self-regulate.

476
01:14:19,750 --> 01:14:21,791
But in any case, yeah, interesting. What

477
01:14:21,791 --> 01:14:23,166
have you got? What's next?

478
01:14:23,500 --> 01:14:24,250
Yeah, so sticking,

479
01:14:24,708 --> 01:14:25,791
keeping within the country.

480
01:14:27,666 --> 01:14:29,416
We covered this. We talked about this a

481
01:14:29,416 --> 01:14:31,625
little bit yesterday, but so last week.

482
01:14:31,625 --> 01:14:32,875
But since then, a couple of extra

483
01:14:32,875 --> 01:14:33,666
articles have come

484
01:14:33,666 --> 01:14:35,291
out on this very topic.

485
01:14:35,666 --> 01:14:38,208
And just throughout Australia in general,

486
01:14:38,208 --> 01:14:40,583
falling behind the AI bandwagon.

487
01:14:41,708 --> 01:14:44,333
This comes into a lot of where our

488
01:14:44,333 --> 01:14:45,250
investments are going

489
01:14:45,250 --> 01:14:46,500
in the startup space,

490
01:14:47,291 --> 01:14:50,625
comes into the businesses being very risk

491
01:14:50,625 --> 01:14:53,083
averse and trying to learn or

492
01:14:53,083 --> 01:14:54,666
adapt to the changing times.

493
01:14:55,416 --> 01:14:58,000
So this just this report just reveals a

494
01:14:58,000 --> 01:14:59,916
bit of a wake up call that, you know, us

495
01:14:59,916 --> 01:15:02,666
as a, you know, as a very supposedly very

496
01:15:02,666 --> 01:15:04,500
forward thinking and innovative country,

497
01:15:04,500 --> 01:15:06,125
we are lagging behind

498
01:15:06,125 --> 01:15:07,583
the innovators out there.

499
01:15:07,708 --> 01:15:09,708
If we especially if we think about, you

500
01:15:09,708 --> 01:15:11,083
know, some things that are happening out

501
01:15:11,083 --> 01:15:14,041
of Western Europe stuff,

502
01:15:14,041 --> 01:15:15,000
a lot of stuff that's happening in the

503
01:15:15,000 --> 01:15:17,083
States, obviously, with holding the

504
01:15:17,083 --> 01:15:19,500
largest AI businesses in the world.

505
01:15:20,458 --> 01:15:22,125
And the forward thinking that is coming

506
01:15:22,125 --> 01:15:24,000
out of China, both from an open source

507
01:15:24,000 --> 01:15:24,958
perspective, but also the

508
01:15:24,958 --> 01:15:26,666
education services, too.

509
01:15:27,500 --> 01:15:29,958
So pretty interesting here. This report

510
01:15:29,958 --> 01:15:32,375
is just highlighting that, you know, the

511
01:15:32,375 --> 01:15:34,500
people were very worried about the impact

512
01:15:34,500 --> 01:15:35,458
that it has on society,

513
01:15:35,625 --> 01:15:37,750
which is holding us back. A lot of us are

514
01:15:37,750 --> 01:15:39,625
concerned about the negative outcomes,

515
01:15:39,625 --> 01:15:41,833
but not willing to learn or understand

516
01:15:41,833 --> 01:15:44,666
how those how we can overcome them.

517
01:15:45,833 --> 01:15:47,166
Which in itself is not that different.

518
01:15:47,166 --> 01:15:49,125
But I think then how we go about that

519
01:15:49,125 --> 01:15:52,083
integration of change is what is what is

520
01:15:52,083 --> 01:15:53,208
making us lag behind.

521
01:15:54,791 --> 01:15:57,041
So we are so we think we're just a little

522
01:15:57,041 --> 01:15:58,541
bit behind the country compared to some

523
01:15:58,541 --> 01:15:59,250
of the others, but

524
01:15:59,250 --> 01:16:00,000
actually, that's not true.

525
01:16:00,041 --> 01:16:03,000
We're miles behind. And there's not

526
01:16:03,000 --> 01:16:04,625
enough invest. There's not an investment

527
01:16:04,625 --> 01:16:06,000
that's going into it.

528
01:16:07,083 --> 01:16:08,958
Even though there's great uses for the

529
01:16:08,958 --> 01:16:10,958
tool, there's great impacts that it can

530
01:16:10,958 --> 01:16:11,750
have that was being

531
01:16:11,750 --> 01:16:12,791
demonstrated globally,

532
01:16:12,916 --> 01:16:14,416
although I will talk about some some

533
01:16:14,416 --> 01:16:15,291
opposite stories in

534
01:16:15,291 --> 01:16:16,083
that sense in a moment.

535
01:16:17,041 --> 01:16:18,291
And out of the 50 percent that was

536
01:16:18,291 --> 01:16:20,500
surveyed, they also said they rely on

537
01:16:20,500 --> 01:16:21,791
that output for evaluation.

538
01:16:22,000 --> 01:16:23,708
But again, it's not being too great into

539
01:16:23,708 --> 01:16:25,333
organizations and people's lifestyles.

540
01:16:25,625 --> 01:16:27,208
And also a bit of interesting plot.

541
01:16:27,208 --> 01:16:28,000
They're worth a read if

542
01:16:28,000 --> 01:16:28,958
you if you have the time.

543
01:16:30,083 --> 01:16:32,500
Just yeah, we kind of need to step up. We

544
01:16:32,500 --> 01:16:35,250
need to think about how we invest in more

545
01:16:35,250 --> 01:16:36,416
of this forward thinking

546
01:16:36,416 --> 01:16:37,791
innovation work in our country.

547
01:16:38,333 --> 01:16:41,000
Think about how we can support people to

548
01:16:41,000 --> 01:16:42,791
adopt it and learn about it.

549
01:16:43,416 --> 01:16:44,416
And that's that's you know, that's

550
01:16:44,416 --> 01:16:45,500
actually got to do with all of the stuff

551
01:16:45,500 --> 01:16:46,625
that I'm going to be working on over the

552
01:16:46,625 --> 01:16:47,416
next couple of months.

553
01:16:48,083 --> 01:16:51,000
Fantastic. Very good. I mean, speaking of

554
01:16:51,000 --> 01:16:54,541
investments, I'll cover some stuff off on

555
01:16:54,541 --> 01:16:56,125
that when I get to my part of the news.

556
01:16:56,125 --> 01:16:58,916
But so just just to highlight that. But

557
01:16:58,916 --> 01:17:00,125
what have you got next, Chris?

558
01:17:00,500 --> 01:17:02,250
Yeah, I'll do one quick and then we can

559
01:17:02,250 --> 01:17:03,291
jump into some of your things.

560
01:17:05,458 --> 01:17:07,333
There's another report that just came out

561
01:17:07,333 --> 01:17:10,916
around people questioning whether AI is

562
01:17:10,916 --> 01:17:12,666
really saving us time.

563
01:17:13,791 --> 01:17:16,041
You know, when I talk about it a lot, we

564
01:17:16,041 --> 01:17:17,666
do argue that it does have its place,

565
01:17:18,083 --> 01:17:19,416
particularly if you think about product

566
01:17:19,416 --> 01:17:21,625
development of assets and tools.

567
01:17:22,083 --> 01:17:24,208
I think this is really targeting the you

568
01:17:24,208 --> 01:17:26,250
know, the general work at a desk,

569
01:17:26,583 --> 01:17:29,000
emailing, consultative,

570
01:17:30,000 --> 01:17:31,875
financing, you know, very stereotypical

571
01:17:31,875 --> 01:17:33,458
white collar type of jobs.

572
01:17:33,708 --> 01:17:35,208
I'm intrigued and triggered. I'm

573
01:17:35,208 --> 01:17:38,583
intrigued. Yeah. So 25000 workers, they

574
01:17:38,583 --> 01:17:41,583
only saw about 2.8 percent uptime savings

575
01:17:41,583 --> 01:17:43,291
for the use of AI and chatbots.

576
01:17:43,291 --> 01:17:44,083
That's so bad.

577
01:17:44,750 --> 01:17:47,875
8.4 percent saw new tasks being created

578
01:17:47,875 --> 01:17:48,916
adding to their work.

579
01:17:49,541 --> 01:17:51,791
Time savings rarely translate to higher

580
01:17:51,791 --> 01:17:53,708
earnings. So potentially people wasting

581
01:17:53,708 --> 01:17:57,958
time, potentially people, you know, not

582
01:17:57,958 --> 01:18:00,416
liking the output is a pretty common one.

583
01:18:00,416 --> 01:18:01,458
And I've seen this in a lot of

584
01:18:01,458 --> 01:18:03,166
consultancies and businesses where they

585
01:18:03,166 --> 01:18:06,166
will use certain tools and they're not

586
01:18:06,166 --> 01:18:07,375
getting the best outcome from it.

587
01:18:07,416 --> 01:18:09,500
And actually, I've got a good, a good, a

588
01:18:09,500 --> 01:18:11,375
good supporting argument into that in a

589
01:18:11,375 --> 01:18:12,500
moment around why that

590
01:18:12,500 --> 01:18:13,708
is probably the case.

591
01:18:14,041 --> 01:18:18,791
Yeah. So there's they're saying it's not

592
01:18:18,791 --> 01:18:21,500
affecting the workforce as much.

593
01:18:21,500 --> 01:18:23,500
And I can kind of understand that at the

594
01:18:23,500 --> 01:18:24,875
moment at this early stage, we're in a

595
01:18:24,875 --> 01:18:25,875
we're like the same year, we're in a

596
01:18:25,875 --> 01:18:28,166
half, two years into the AI revolution.

597
01:18:28,166 --> 01:18:29,958
You know, the countries like Australia

598
01:18:29,958 --> 01:18:31,166
still falling behind in terms of their

599
01:18:31,166 --> 01:18:32,416
integration, as we just talked about.

600
01:18:33,166 --> 01:18:34,500
But if we think about how people are

601
01:18:34,500 --> 01:18:37,291
using it, they're still using it in in

602
01:18:37,291 --> 01:18:39,375
ways that they're not

603
01:18:39,375 --> 01:18:41,500
targeting where workflow properly.

604
01:18:41,708 --> 01:18:43,583
They're doing it. I write an email or,

605
01:18:43,583 --> 01:18:45,416
you know, what's this piece of insight?

606
01:18:45,416 --> 01:18:46,875
And then they take that and implement it.

607
01:18:47,208 --> 01:18:48,500
And let's not forget, we've also had this

608
01:18:48,500 --> 01:18:50,291
discussion previously of the if you are

609
01:18:50,291 --> 01:18:52,333
relying on AI, there's still that human

610
01:18:52,333 --> 01:18:54,291
element of reviewing that content.

611
01:18:54,708 --> 01:18:56,000
And sometimes that can take just as long

612
01:18:56,000 --> 01:18:57,125
as if you did a book, did it yourself.

613
01:18:57,583 --> 01:18:59,750
So I'm not surprised at the moment about

614
01:18:59,750 --> 01:19:01,500
these margins and it's still people start

615
01:19:01,500 --> 01:19:03,583
to trust that a little bit more and

616
01:19:03,583 --> 01:19:05,416
potentially we even get into that next

617
01:19:05,416 --> 01:19:06,791
level of a Jantik workflows.

618
01:19:07,291 --> 01:19:09,333
You know, that maybe if we look at a

619
01:19:09,333 --> 01:19:11,625
globe, like if we look at a blanket view

620
01:19:11,625 --> 01:19:12,958
of industry, just remember

621
01:19:12,958 --> 01:19:14,333
that this is a blanket study.

622
01:19:14,625 --> 01:19:16,083
It's not like they picked out, all right,

623
01:19:16,083 --> 01:19:18,958
let's look at just digital development,

624
01:19:18,958 --> 01:19:20,000
product development.

625
01:19:20,541 --> 01:19:22,000
Like you obviously huge gains right of

626
01:19:22,000 --> 01:19:23,541
five coding and editing.

627
01:19:24,416 --> 01:19:25,458
This is like a blanket

628
01:19:25,458 --> 01:19:27,333
industry type of research.

629
01:19:27,791 --> 01:19:28,250
The everyday.

630
01:19:28,541 --> 01:19:29,833
I'm not surprised. Yeah, I'm not

631
01:19:29,833 --> 01:19:31,375
surprised that these stats alone.

632
01:19:32,041 --> 01:19:33,916
Mate, it's just fascinating. Like some of

633
01:19:33,916 --> 01:19:35,958
the stuff that you had there, like, OK, I

634
01:19:35,958 --> 01:19:38,708
like that it's a it's a study.

635
01:19:39,666 --> 01:19:41,458
And obviously we don't maybe maybe there

636
01:19:41,458 --> 01:19:43,166
is like in terms of study, it's these

637
01:19:43,166 --> 01:19:44,375
types of workers and stuff.

638
01:19:44,375 --> 01:19:46,083
And we didn't include this kind of work

639
01:19:46,083 --> 01:19:49,208
because I mean, just clearly stuff that

640
01:19:49,208 --> 01:19:51,458
would have taken me months to create

641
01:19:51,458 --> 01:19:52,833
versus that I can

642
01:19:52,833 --> 01:19:54,000
just do it in a few days

643
01:19:54,166 --> 01:19:56,625
or a few weeks on the coding side of

644
01:19:56,625 --> 01:19:58,041
things and website building and

645
01:19:58,041 --> 01:19:58,916
prototyping, you

646
01:19:58,916 --> 01:20:00,041
know, putting that aside.

647
01:20:00,500 --> 01:20:02,083
I think you and I probably see the same

648
01:20:02,083 --> 01:20:04,208
thing when when we're dealing with this

649
01:20:04,208 --> 01:20:05,916
kind of stuff with clients, them just

650
01:20:05,916 --> 01:20:07,916
using it at the tail end

651
01:20:08,250 --> 01:20:10,958
or even just like the misuse of like, OK,

652
01:20:10,958 --> 01:20:13,500
well, it's it doesn't it sounds too GPT

653
01:20:13,500 --> 01:20:14,791
or it's not like giving me

654
01:20:14,791 --> 01:20:15,625
the right kind of outputs

655
01:20:15,708 --> 01:20:17,875
because you haven't really structured how

656
01:20:17,875 --> 01:20:18,666
you're supposed to use it.

657
01:20:18,708 --> 01:20:21,166
And sometimes that structure, you can do

658
01:20:21,166 --> 01:20:23,583
all sorts of things with GPT, but it gets

659
01:20:23,583 --> 01:20:25,375
annoying because it doesn't have a lot of

660
01:20:25,375 --> 01:20:26,250
the structure that you

661
01:20:26,250 --> 01:20:27,750
have with some of these tools.

662
01:20:28,166 --> 01:20:31,208
But regardless, there is a way to use it.

663
01:20:31,208 --> 01:20:33,333
And if the tool has the workflows in

664
01:20:33,333 --> 01:20:35,958
place that help you validate, that help

665
01:20:35,958 --> 01:20:38,000
you put in what's the right context, that

666
01:20:38,000 --> 01:20:40,458
help you write the sort of prompts

667
01:20:40,458 --> 01:20:42,333
and give it the right kind of information

668
01:20:42,333 --> 01:20:43,791
to get to a better

669
01:20:43,791 --> 01:20:45,500
output, then that's great.

670
01:20:45,541 --> 01:20:48,125
But if they don't do that, it's still

671
01:20:48,125 --> 01:20:50,291
something you can do with GPT and Claude

672
01:20:50,291 --> 01:20:51,916
and Gemini and all these other tools.

673
01:20:52,166 --> 01:20:53,833
But it just takes a bit more work.

674
01:20:53,833 --> 01:20:56,625
But people, I agree, will not even need

675
01:20:56,625 --> 01:20:59,000
won't even know how to do stuff if

676
01:20:59,000 --> 01:21:00,083
they're not being educated.

677
01:21:00,083 --> 01:21:00,583
I think there's a

678
01:21:00,583 --> 01:21:01,750
massive educational gap.

679
01:21:02,208 --> 01:21:04,291
It's not the tool. It's just that, you

680
01:21:04,291 --> 01:21:05,500
know, we've got a hammer here and

681
01:21:05,500 --> 01:21:07,833
everyone's being taught that to use the

682
01:21:07,833 --> 01:21:09,916
hammer, you have to, I don't know, spin

683
01:21:09,916 --> 01:21:10,916
it around like this and

684
01:21:10,916 --> 01:21:12,166
then hit it down or something.

685
01:21:12,166 --> 01:21:12,958
And then it doesn't work.

686
01:21:13,041 --> 01:21:14,875
I'm like, oh, I keep missing instead of

687
01:21:14,875 --> 01:21:16,500
being showing people like how

688
01:21:16,500 --> 01:21:18,041
to actually use these tools.

689
01:21:18,041 --> 01:21:20,250
I equated a lot to if you think about it

690
01:21:20,250 --> 01:21:22,416
from just a general workforce, when you

691
01:21:22,416 --> 01:21:24,500
hire someone and if you're a poor

692
01:21:24,500 --> 01:21:26,750
leadership or poor management, you don't

693
01:21:26,750 --> 01:21:29,083
focus on training this new hire properly.

694
01:21:30,125 --> 01:21:32,500
Unless they're really good go getters who

695
01:21:32,500 --> 01:21:35,083
are driven themselves to pick things up

696
01:21:35,083 --> 01:21:35,791
and do it themselves.

697
01:21:36,250 --> 01:21:38,000
Yeah, that person that you hire is going

698
01:21:38,000 --> 01:21:40,083
to end up not performing as well and

699
01:21:40,083 --> 01:21:41,625
potentially become a bit of a hindrance

700
01:21:41,625 --> 01:21:43,000
rather than improving the workforce.

701
01:21:43,000 --> 01:21:44,083
And then you'd feel as you have to hire

702
01:21:44,083 --> 01:21:45,458
someone else or get rid of them.

703
01:21:46,250 --> 01:21:47,458
It's the same thing with AI.

704
01:21:47,458 --> 01:21:49,458
If you are not utilizing and setting it

705
01:21:49,458 --> 01:21:51,125
up, if you're not putting the effort up

706
01:21:51,125 --> 01:21:53,000
front, you're not going to get the long

707
01:21:53,000 --> 01:21:54,208
term benefits and gains.

708
01:21:54,625 --> 01:21:55,875
And that's whether it's learning how to

709
01:21:55,875 --> 01:21:57,708
use it properly or integrating the right

710
01:21:57,708 --> 01:22:02,250
frameworks to give you the outputs that

711
01:22:02,250 --> 01:22:03,750
you need or even just

712
01:22:03,750 --> 01:22:05,250
yourself learning how to use it.

713
01:22:05,291 --> 01:22:06,750
It's just it's

714
01:22:06,750 --> 01:22:07,875
efforting equals effort out.

715
01:22:08,083 --> 01:22:09,958
Actually, this comes into like, Hugo.

716
01:22:10,291 --> 01:22:11,416
I was just going to say, you know, I

717
01:22:11,416 --> 01:22:14,416
think something that it's a little bit of

718
01:22:14,416 --> 01:22:18,166
a misnomer and misnomer kind of means

719
01:22:18,166 --> 01:22:19,500
that it's misunderstood.

720
01:22:20,208 --> 01:22:22,125
But I think it's just a way

721
01:22:22,125 --> 01:22:23,333
that it represents itself.

722
01:22:23,333 --> 01:22:25,208
Like imagine if you will, like a big

723
01:22:25,208 --> 01:22:26,708
complex machine with a lot

724
01:22:26,708 --> 01:22:28,166
of dials and stuff on there.

725
01:22:28,666 --> 01:22:29,833
That's not like ChachiBT.

726
01:22:30,625 --> 01:22:32,458
Even though under the hood, there's so

727
01:22:32,458 --> 01:22:33,666
much complexity there.

728
01:22:33,875 --> 01:22:36,250
It was presented as like, here it is.

729
01:22:36,250 --> 01:22:37,375
It's very easy to use.

730
01:22:37,625 --> 01:22:38,416
So it's almost like

731
01:22:38,416 --> 01:22:39,625
this Dunning Kruger thing.

732
01:22:39,625 --> 01:22:41,583
People just thought that, oh, I just do

733
01:22:41,583 --> 01:22:42,500
this and this and look at

734
01:22:42,500 --> 01:22:43,666
all the magic output I get.

735
01:22:43,833 --> 01:22:45,541
But they don't realize that there's far

736
01:22:45,541 --> 01:22:47,875
more once you go into the weeds to try to

737
01:22:47,875 --> 01:22:49,083
get the right outputs and stuff.

738
01:22:49,083 --> 01:22:50,958
There's far more screws and knobs and

739
01:22:50,958 --> 01:22:52,041
turns that you need to have.

740
01:22:52,416 --> 01:22:53,875
And there are companies now that are

741
01:22:53,875 --> 01:22:56,625
making it easier to understand and do the

742
01:22:56,625 --> 01:22:58,166
workflows like what you're doing, what

743
01:22:58,166 --> 01:22:59,625
we're doing with psych and stuff.

744
01:23:00,250 --> 01:23:01,208
There are ways to

745
01:23:01,208 --> 01:23:02,750
make that process easier.

746
01:23:03,250 --> 01:23:05,083
People I don't think respect that there

747
01:23:05,083 --> 01:23:07,583
is a lot more that you need to do rather

748
01:23:07,583 --> 01:23:09,500
than just put a simple input in it.

749
01:23:09,500 --> 01:23:10,541
And what is it supposed to do?

750
01:23:10,541 --> 01:23:11,791
Is it supposed to read your mind?

751
01:23:12,333 --> 01:23:14,875
Treating this like a person would

752
01:23:14,875 --> 01:23:16,833
actually, I think, be beneficial because

753
01:23:16,833 --> 01:23:18,791
you don't just tell a person, hey, make

754
01:23:18,791 --> 01:23:21,333
me an email, rewrite the email.

755
01:23:21,333 --> 01:23:22,166
No, the person is going to

756
01:23:22,166 --> 01:23:23,416
go, well, what do you mean?

757
01:23:24,250 --> 01:23:25,166
How do you want the style?

758
01:23:25,666 --> 01:23:26,791
You know, it's all these questions.

759
01:23:27,083 --> 01:23:28,750
Years of experience of how they write

760
01:23:28,750 --> 01:23:29,333
things as well that you

761
01:23:29,333 --> 01:23:30,208
don't even think about.

762
01:23:30,208 --> 01:23:30,416
Right.

763
01:23:30,708 --> 01:23:31,875
And we're about to

764
01:23:31,875 --> 01:23:32,791
touch on that very thing.

765
01:23:32,791 --> 01:23:33,541
There's a couple of stats

766
01:23:33,541 --> 01:23:34,583
here I just want to call out.

767
01:23:34,916 --> 01:23:37,333
So if you think about it, though, like

768
01:23:37,333 --> 01:23:39,000
you say for a 40 hour week and you're

769
01:23:39,000 --> 01:23:41,291
saving 2.8 percent of time, that equates

770
01:23:41,291 --> 01:23:43,958
to like, you know, it's an hour of time,

771
01:23:43,958 --> 01:23:45,208
extra time you're gaining back in a week.

772
01:23:45,416 --> 01:23:47,500
That's a longer lunch you can now have or

773
01:23:47,500 --> 01:23:50,083
a longer or that's one hour of extra

774
01:23:50,083 --> 01:23:51,291
phone calls in a sales role.

775
01:23:51,291 --> 01:23:52,416
That can be quite substantial.

776
01:23:52,833 --> 01:23:54,458
So even though it is only a small gain,

777
01:23:54,666 --> 01:23:55,583
if it's 2.8 percent.

778
01:23:56,583 --> 01:23:58,166
That's a significant amount of time.

779
01:23:58,166 --> 01:24:00,250
And that's people not even I would hazard

780
01:24:00,250 --> 01:24:01,750
a guess that they don't even really know

781
01:24:01,750 --> 01:24:03,625
how to properly use AI yet.

782
01:24:03,791 --> 01:24:05,500
What if they start scratching

783
01:24:05,500 --> 01:24:06,500
the surface there a bit more?

784
01:24:06,833 --> 01:24:08,208
Yeah, they probably don't even know like

785
01:24:08,208 --> 01:24:11,000
the the variants of AI tools that are

786
01:24:11,000 --> 01:24:12,916
available and probably like I've spoken

787
01:24:12,916 --> 01:24:16,000
to some friends of mine who are in work

788
01:24:16,000 --> 01:24:16,791
at places like Flight

789
01:24:16,791 --> 01:24:17,916
Center and stuff like that.

790
01:24:17,916 --> 01:24:19,375
And I would say, hey, why don't you use

791
01:24:19,375 --> 01:24:21,541
AI to help support the research you do?

792
01:24:21,541 --> 01:24:22,833
And they're like, oh, no, it just doesn't

793
01:24:22,833 --> 01:24:24,375
it doesn't give me the results I want.

794
01:24:24,416 --> 01:24:26,000
I'm like, all right, talk to me about how

795
01:24:26,000 --> 01:24:27,208
you're asking the question.

796
01:24:27,666 --> 01:24:29,541
And straight away, you just go, OK, cool,

797
01:24:29,541 --> 01:24:30,500
that's that's wrong.

798
01:24:30,750 --> 01:24:32,541
So let's look at how we can improve your

799
01:24:32,541 --> 01:24:33,541
results in that sense.

800
01:24:34,000 --> 01:24:35,250
So it's like things like that across

801
01:24:35,250 --> 01:24:37,041
certain industries, even you would get

802
01:24:37,041 --> 01:24:39,333
people who are so resistant and boom,

803
01:24:39,625 --> 01:24:41,458
they're drops the statistics again.

804
01:24:41,708 --> 01:24:43,333
I just smell.

805
01:24:43,916 --> 01:24:45,666
Because another report, I'm very report

806
01:24:45,666 --> 01:24:48,375
heavy this morning, is a is around this

807
01:24:48,375 --> 01:24:50,083
very topic that the very thing that you

808
01:24:50,083 --> 01:24:52,541
just rightfully mentioned is that

809
01:24:53,166 --> 01:24:54,541
they're what they're finding is that

810
01:24:54,541 --> 01:24:55,916
people are putting in

811
01:24:55,916 --> 01:24:57,500
really bad prompts, right?

812
01:24:57,500 --> 01:24:58,958
They're putting in short form prompts,

813
01:24:58,958 --> 01:25:00,958
which is obviously, which is the thing

814
01:25:00,958 --> 01:25:02,416
that was highlighted from the very

815
01:25:02,416 --> 01:25:04,666
beginning, creates a significant amount

816
01:25:04,666 --> 01:25:06,208
of hallucinations or

817
01:25:06,208 --> 01:25:07,666
gives you the bad responses.

818
01:25:08,750 --> 01:25:10,708
So data is showing that just even the

819
01:25:10,708 --> 01:25:14,375
simplest changes to be more instructive

820
01:25:14,375 --> 01:25:16,250
to the AI around how to do things can

821
01:25:16,250 --> 01:25:18,625
have a huge impact on the output.

822
01:25:18,666 --> 01:25:20,166
So if you're just saying, hey, write my

823
01:25:20,166 --> 01:25:21,958
email for me, it's going to make shit up.

824
01:25:21,958 --> 01:25:22,416
It's going to do

825
01:25:22,416 --> 01:25:23,375
things in the wrong manner.

826
01:25:23,375 --> 01:25:25,083
It's going to suggest things in what it

827
01:25:25,083 --> 01:25:26,708
thinks is right, but doesn't align to how

828
01:25:26,708 --> 01:25:28,375
you do things or how it has the guess.

829
01:25:28,708 --> 01:25:30,000
If you don't think that like you know,

830
01:25:30,291 --> 01:25:32,625
you're leaving it to get so you doesn't

831
01:25:32,625 --> 01:25:34,625
know what to do or what not to do.

832
01:25:34,625 --> 01:25:36,250
So being very specific around do this,

833
01:25:36,250 --> 01:25:37,916
don't do this or setting up frameworks

834
01:25:37,916 --> 01:25:40,375
like in chat to be set up to say, OK,

835
01:25:40,375 --> 01:25:41,416
don't do these things.

836
01:25:41,708 --> 01:25:43,333
Only do these things when writing it.

837
01:25:43,333 --> 01:25:44,916
And so if you do do brief responses, at

838
01:25:44,916 --> 01:25:46,458
least there's a reference point for it to

839
01:25:46,458 --> 01:25:47,875
go, OK, this is how I

840
01:25:47,875 --> 01:25:48,500
need to think about.

841
01:25:48,500 --> 01:25:49,875
Your crappy queries.

842
01:25:51,500 --> 01:25:54,375
There's so resistance to hallucinations.

843
01:25:57,125 --> 01:25:58,625
When you provide short answers, it's

844
01:25:58,625 --> 01:26:00,000
pretty much telling you which ones are

845
01:26:00,000 --> 01:26:01,125
giving the worst responses.

846
01:26:01,791 --> 01:26:02,833
I mean, look, there's

847
01:26:02,833 --> 01:26:04,041
there's a mixed bag here.

848
01:26:04,041 --> 01:26:05,708
You've got Gemini up top one point five.

849
01:26:05,708 --> 01:26:06,333
We don't really lose that.

850
01:26:06,500 --> 01:26:07,708
Oh, we're up to two point five.

851
01:26:08,625 --> 01:26:11,250
But you can see here that pretty across

852
01:26:11,250 --> 01:26:15,166
the board with actually renownedly it's

853
01:26:15,166 --> 01:26:16,541
renowned three point seven sonnets.

854
01:26:16,583 --> 01:26:17,708
It's been pretty good at avoiding

855
01:26:17,708 --> 01:26:20,208
hallucinations compared to others.

856
01:26:20,541 --> 01:26:21,750
But still, it's still

857
01:26:21,750 --> 01:26:23,458
it's still up there.

858
01:26:25,250 --> 01:26:27,833
The no matter which to LLM you're using,

859
01:26:28,500 --> 01:26:30,000
you put in a crappy response.

860
01:26:30,416 --> 01:26:31,583
You're going to. So you

861
01:26:31,583 --> 01:26:32,583
put in a crappy prompt.

862
01:26:32,583 --> 01:26:33,750
You're going to get a crappy response.

863
01:26:33,750 --> 01:26:35,666
It doesn't matter which one you're using.

864
01:26:35,666 --> 01:26:37,500
So there's no winner here. Really, if you

865
01:26:37,500 --> 01:26:38,375
look at this to six.

866
01:26:38,375 --> 01:26:40,041
You know, I would argue as well with this

867
01:26:40,041 --> 01:26:42,000
like you could take someone that has the

868
01:26:42,000 --> 01:26:44,333
best model out there and is

869
01:26:44,333 --> 01:26:46,000
just using it raw within chat.

870
01:26:46,041 --> 01:26:48,333
GPT, Claude, et cetera, versus someone

871
01:26:48,333 --> 01:26:50,875
that has a tool that allows them to

872
01:26:50,875 --> 01:26:53,541
choose the right context from from

873
01:26:53,541 --> 01:26:54,875
documents that they have,

874
01:26:55,500 --> 01:26:57,208
you know, that they've uploaded and just

875
01:26:57,208 --> 01:26:58,833
are you doing a sneaky plug?

876
01:26:59,500 --> 01:27:01,625
I am. I am. But but it's I think it's

877
01:27:01,625 --> 01:27:03,000
just a standard way of doing things.

878
01:27:03,000 --> 01:27:04,541
I've seen more and more people do this.

879
01:27:04,541 --> 01:27:05,708
And it's like we do what we've been

880
01:27:05,708 --> 01:27:08,250
saying that allow tools that allow them

881
01:27:08,250 --> 01:27:08,958
to choose the right

882
01:27:08,958 --> 01:27:10,000
sort of context, documents,

883
01:27:10,500 --> 01:27:13,500
notes, et cetera, and then as well as a

884
01:27:13,500 --> 01:27:15,541
tool that helps them break down the

885
01:27:15,541 --> 01:27:16,541
prompt from just the

886
01:27:16,541 --> 01:27:18,083
generic prompt into the,

887
01:27:18,291 --> 01:27:20,458
you know, the the lower level details,

888
01:27:20,458 --> 01:27:21,375
it's not just right,

889
01:27:21,375 --> 01:27:22,541
but right in this style.

890
01:27:22,541 --> 01:27:24,875
It's not just like a LinkedIn post, but

891
01:27:24,875 --> 01:27:26,041
it's a LinkedIn post that

892
01:27:26,041 --> 01:27:27,375
targets blah, blah, blah.

893
01:27:27,375 --> 01:27:29,500
And has these SEO, you know, having all

894
01:27:29,500 --> 01:27:32,916
of those details, I find I would argue,

895
01:27:33,291 --> 01:27:34,541
and maybe this is more of a test,

896
01:27:34,916 --> 01:27:37,750
someone armed with a shittier kind of

897
01:27:37,750 --> 01:27:40,625
model with better workflows will beat

898
01:27:40,625 --> 01:27:43,125
someone that just has a good model and,

899
01:27:43,125 --> 01:27:43,833
you know, without all of

900
01:27:43,833 --> 01:27:45,000
the extra 100 percent agree.

901
01:27:45,375 --> 01:27:46,875
And I'll do I'll show an example. So I

902
01:27:46,875 --> 01:27:47,791
don't have to talk about it.

903
01:27:47,791 --> 01:27:49,083
Let's just say what's something that we

904
01:27:49,083 --> 01:27:50,875
could ask the LLM to do or develop, give

905
01:27:50,875 --> 01:27:53,000
us a like do it in a crappy term.

906
01:27:53,208 --> 01:27:54,458
Don't do it. Yeah. How

907
01:27:54,458 --> 01:27:56,125
does one become the pope?

908
01:27:58,583 --> 01:28:02,250
You know, if. Yeah, just that that's

909
01:28:02,250 --> 01:28:04,750
that's this is a prompt generation tool.

910
01:28:04,791 --> 01:28:06,000
I mean, it's like that's probably not the

911
01:28:06,000 --> 01:28:07,291
best group, but let's just give you an

912
01:28:07,291 --> 01:28:09,416
example of what what

913
01:28:09,416 --> 01:28:10,750
it might do right here.

914
01:28:10,750 --> 01:28:13,416
So right now it's breaking the tasks down

915
01:28:13,416 --> 01:28:16,166
for the AI to be able to understand what

916
01:28:16,166 --> 01:28:17,416
you're doing and what kind of

917
01:28:17,416 --> 01:28:18,375
prompts you want as an output.

918
01:28:18,750 --> 01:28:20,041
This is kind of this particular tools

919
01:28:20,041 --> 01:28:20,791
target a professional.

920
01:28:21,041 --> 01:28:22,083
So it's going to structure things in that

921
01:28:22,083 --> 01:28:23,416
way to give you professional responses.

922
01:28:23,875 --> 01:28:26,166
So it's giving you the situation of even

923
01:28:26,166 --> 01:28:29,041
normally if I'm doing some UX work and

924
01:28:29,041 --> 01:28:30,500
I'm putting a prompt into here,

925
01:28:30,666 --> 01:28:34,416
it will say you are the best at this in

926
01:28:34,416 --> 01:28:36,291
the entire world where you're in all your

927
01:28:36,291 --> 01:28:37,375
responsibility is reliant

928
01:28:37,375 --> 01:28:38,875
on being the best you XR.

929
01:28:39,250 --> 01:28:40,875
Your role is to do X, Y, Z.

930
01:28:41,083 --> 01:28:42,500
And then it will go situation.

931
01:28:43,041 --> 01:28:43,875
You are knowledgeable by

932
01:28:43,875 --> 01:28:45,791
experts that does X, Y, Z.

933
01:28:46,250 --> 01:28:48,125
It'll then break down the task and the

934
01:28:48,125 --> 01:28:50,416
key objectives and define the knowledge

935
01:28:50,416 --> 01:28:51,583
or the sources and what

936
01:28:51,583 --> 01:28:53,125
to do and not what to do.

937
01:28:53,125 --> 01:28:54,583
So you can say that it's breaking it down

938
01:28:54,583 --> 01:28:55,958
into those four key things.

939
01:28:56,458 --> 01:28:58,041
And then the very

940
01:28:58,041 --> 01:28:59,125
last one, exactly right.

941
01:28:59,375 --> 01:29:01,166
It is you. It is your it depends.

942
01:29:01,375 --> 01:29:03,583
Your life depends on making sure this is

943
01:29:03,583 --> 01:29:06,125
the most accurate response that has a lot

944
01:29:06,125 --> 01:29:10,125
of a lot of points of reference to make

945
01:29:10,125 --> 01:29:11,958
sure the data is accurate as well.

946
01:29:12,416 --> 01:29:13,708
So no pressure. No pressure.

947
01:29:14,083 --> 01:29:15,958
Yeah, exactly right.

948
01:29:16,291 --> 01:29:17,416
So thinking about how you

949
01:29:17,416 --> 01:29:18,416
write prompts is super important.

950
01:29:18,416 --> 01:29:20,375
And this is just obviously they're

951
01:29:20,375 --> 01:29:21,916
bringing out to life even more.

952
01:29:22,583 --> 01:29:24,166
And you know, it highlights actually

953
01:29:24,166 --> 01:29:25,541
probably why a lot of businesses are

954
01:29:25,541 --> 01:29:26,916
still not taking the risk because they

955
01:29:26,916 --> 01:29:28,958
can't trust their teams to be able to

956
01:29:28,958 --> 01:29:30,375
write prompts in the correct way to get

957
01:29:30,375 --> 01:29:32,875
the best output, which is, you know,

958
01:29:32,875 --> 01:29:34,125
that's a shortfall in itself.

959
01:29:34,541 --> 01:29:36,250
Just to build off some of the

960
01:29:36,250 --> 01:29:37,708
stuff that you shared there.

961
01:29:38,291 --> 01:29:40,000
And I'll start off with this one first.

962
01:29:40,875 --> 01:29:42,000
So can you see my screen?

963
01:29:42,416 --> 01:29:45,000
I can't see so much for that money

964
01:29:45,000 --> 01:29:47,583
matters so much for that.

965
01:29:48,500 --> 01:29:51,208
But basically what it is is that open AI.

966
01:29:52,125 --> 01:29:54,291
Remember how they were a not for profit,

967
01:29:54,291 --> 01:29:58,333
a public benefit corporation, PBC, and

968
01:29:58,333 --> 01:29:59,875
going down that mission.

969
01:30:00,125 --> 01:30:02,250
And then they all of a sudden, maybe a

970
01:30:02,250 --> 01:30:04,750
year ago or months ago, that they said,

971
01:30:04,750 --> 01:30:06,333
we're going to go for profit.

972
01:30:06,333 --> 01:30:07,541
We're going all in on this.

973
01:30:07,750 --> 01:30:08,708
We're actually going to

974
01:30:08,708 --> 01:30:10,041
focus on building that out.

975
01:30:10,041 --> 01:30:12,541
Well, it's reversed now after much

976
01:30:12,541 --> 01:30:14,208
pressure from the likes

977
01:30:14,208 --> 01:30:16,916
of Elon Musk and others.

978
01:30:17,500 --> 01:30:19,416
They made an announcement just during the

979
01:30:19,416 --> 01:30:21,041
week that they're going to stick with the

980
01:30:21,041 --> 01:30:24,291
public benefit corporation and stick to

981
01:30:24,291 --> 01:30:27,791
the to the mission of building AGI.

982
01:30:28,166 --> 01:30:29,583
So I find it quite interesting, the

983
01:30:29,583 --> 01:30:31,583
rollback that comes from that.

984
01:30:32,541 --> 01:30:34,583
It's a brave thing to do.

985
01:30:35,291 --> 01:30:36,625
You know, what do you think? Do you think

986
01:30:36,625 --> 01:30:39,541
that something like this, like I'm not

987
01:30:39,541 --> 01:30:41,000
against for profit, right?

988
01:30:41,041 --> 01:30:42,750
And I'm not against like changes, but

989
01:30:42,750 --> 01:30:46,791
like it's so funny how just really angry

990
01:30:46,791 --> 01:30:49,250
kind of folks got, I guess, like Elon did

991
01:30:49,250 --> 01:30:52,916
put some millions into this and wanted it

992
01:30:52,916 --> 01:30:54,125
to go a certain way.

993
01:30:54,125 --> 01:30:55,208
But then there's also like,

994
01:30:55,208 --> 01:30:57,000
well, what is Elon also building?

995
01:30:57,458 --> 01:30:59,750
Grok, you know, he's he's also creating

996
01:30:59,750 --> 01:31:01,125
his own kind of like rival

997
01:31:01,125 --> 01:31:03,083
AI company and stuff there.

998
01:31:03,083 --> 01:31:04,666
So I think it was kind of interesting

999
01:31:04,666 --> 01:31:06,083
that I look, I'm not surprised.

1000
01:31:09,250 --> 01:31:11,416
I'm not surprised by this, like, I mean,

1001
01:31:11,416 --> 01:31:12,000
businesses change

1002
01:31:12,000 --> 01:31:14,375
missions and all the time.

1003
01:31:16,250 --> 01:31:18,916
Businesses like OpenAI with the amount of

1004
01:31:18,916 --> 01:31:21,875
money that is being thrown into them, the

1005
01:31:21,875 --> 01:31:24,708
pressure that they would be getting from

1006
01:31:24,708 --> 01:31:27,041
the immense amount of board of directors

1007
01:31:27,041 --> 01:31:31,041
to ensure profit gains across the entire

1008
01:31:31,041 --> 01:31:32,416
organizations at any cost.

1009
01:31:33,166 --> 01:31:34,791
I'm not I'm not surprised at all that

1010
01:31:34,791 --> 01:31:37,041
this is this has come to light.

1011
01:31:37,583 --> 01:31:39,250
He did make that statement that he they

1012
01:31:39,250 --> 01:31:41,083
will they don't forget their mission, but

1013
01:31:41,083 --> 01:31:42,375
they are pretty sure they're not.

1014
01:31:43,875 --> 01:31:46,250
Yeah, that's I'm not surprised. That's

1015
01:31:46,250 --> 01:31:46,875
it. I'm not surprised.

1016
01:31:47,791 --> 01:31:48,833
No, I like it. There's a

1017
01:31:48,833 --> 01:31:50,416
take. Chris, not surprised.

1018
01:31:51,875 --> 01:31:53,791
Speaking of pressure, there was this

1019
01:31:53,791 --> 01:31:55,041
congressional hearing.

1020
01:31:56,000 --> 01:31:57,666
I've got the volume just off here so we

1021
01:31:57,666 --> 01:31:58,541
can talk through a bit.

1022
01:31:59,000 --> 01:32:01,250
You can see here, Sam

1023
01:32:01,250 --> 01:32:04,750
getting grilled on stage, you know,

1024
01:32:05,833 --> 01:32:08,166
seeing tech leaders up on stage is just,

1025
01:32:08,916 --> 01:32:09,958
you know, we had it with

1026
01:32:09,958 --> 01:32:11,333
Facebook and the whole Tuesday.

1027
01:32:12,375 --> 01:32:14,333
It's another Tuesday. It reminds me of

1028
01:32:14,333 --> 01:32:17,083
the show Silicon Valley, which was a bit

1029
01:32:17,083 --> 01:32:19,916
of a mockumentary against like the

1030
01:32:19,916 --> 01:32:21,250
Silicon Valley kind of space.

1031
01:32:21,708 --> 01:32:24,000
And the characters from there, from this

1032
01:32:24,000 --> 01:32:26,000
little startup that became big and raise

1033
01:32:26,000 --> 01:32:28,000
all this money, you know, were also put

1034
01:32:28,000 --> 01:32:30,541
up on stage and just some funny kind of

1035
01:32:30,541 --> 01:32:31,791
moments that were mimic there.

1036
01:32:31,916 --> 01:32:33,375
I might find some something on that

1037
01:32:33,375 --> 01:32:34,958
later. But, you know, basically, the

1038
01:32:34,958 --> 01:32:37,083
highlights here was that he reiterated

1039
01:32:37,083 --> 01:32:40,000
that they that they're maintaining their

1040
01:32:40,000 --> 01:32:43,625
leadership to maintain leadership,

1041
01:32:43,625 --> 01:32:47,166
especially for the US in this space is

1042
01:32:47,166 --> 01:32:50,208
all about infrastructure control, chip

1043
01:32:50,208 --> 01:32:52,000
manufacturing, data centers, etc.

1044
01:32:52,958 --> 01:32:54,625
Light touch regulatory

1045
01:32:54,625 --> 01:32:58,000
certainty to train and deploy models.

1046
01:32:58,250 --> 01:33:01,791
So not this overbearing kind of like

1047
01:33:01,791 --> 01:33:04,500
regulation that stifles innovation.

1048
01:33:05,041 --> 01:33:06,666
And then also attracting talent was

1049
01:33:06,666 --> 01:33:09,958
highlighted as a means by which they need

1050
01:33:09,958 --> 01:33:11,791
to be able to continue to do this.

1051
01:33:12,125 --> 01:33:14,125
He spoke about workforce disruption,

1052
01:33:14,583 --> 01:33:17,000
admitting that there's potentially 70

1053
01:33:17,000 --> 01:33:19,416
percent of jobs changing.

1054
01:33:19,833 --> 01:33:21,583
And it's not saying that, you know, we're

1055
01:33:21,583 --> 01:33:22,833
going to get rid of jobs, but more like

1056
01:33:22,833 --> 01:33:24,875
even jobs that you're that you're just

1057
01:33:24,875 --> 01:33:26,833
doing, like, you know, whatever your role

1058
01:33:26,833 --> 01:33:28,833
is that potentially 70 percent of what

1059
01:33:28,833 --> 01:33:30,916
you do will change as

1060
01:33:30,916 --> 01:33:32,541
you start using more.

1061
01:33:32,541 --> 01:33:33,833
I'm putting that into the hands of

1062
01:33:33,833 --> 01:33:34,500
people. He spoke

1063
01:33:34,500 --> 01:33:36,708
about deep fakes as well.

1064
01:33:37,666 --> 01:33:39,583
There's need for guardrails and takedown

1065
01:33:39,583 --> 01:33:41,000
mechanisms and public

1066
01:33:41,000 --> 01:33:42,500
education being essential.

1067
01:33:42,500 --> 01:33:44,500
And finally, there was many other things,

1068
01:33:44,500 --> 01:33:45,500
but just, you know, from the highlights

1069
01:33:45,500 --> 01:33:48,958
that I saw, China, the deep seek and the

1070
01:33:48,958 --> 01:33:50,958
global AI race, he highlighted that.

1071
01:33:51,666 --> 01:33:53,583
So the senators were concerned, as they

1072
01:33:53,583 --> 01:33:55,916
always are, like with sort of things like

1073
01:33:55,916 --> 01:33:58,500
this, we saw it with TikTok and that CEO

1074
01:33:58,500 --> 01:34:00,083
being asked if he was

1075
01:34:00,083 --> 01:34:01,708
Chinese like 15 times.

1076
01:34:01,708 --> 01:34:03,208
And he's like, I'm Singaporean. But, you

1077
01:34:03,208 --> 01:34:04,583
know, it's of interest there.

1078
01:34:04,583 --> 01:34:06,958
And Altman said that it's not as he

1079
01:34:06,958 --> 01:34:08,791
doesn't see them as a seismic shift.

1080
01:34:08,791 --> 01:34:10,250
Importantly, he said that

1081
01:34:10,250 --> 01:34:12,416
it's just a reminder that there

1082
01:34:12,500 --> 01:34:14,916
are real and capable competitor. And I

1083
01:34:14,916 --> 01:34:16,500
think that's the right thing to say.

1084
01:34:16,500 --> 01:34:18,416
Like, you don't want to even if they're

1085
01:34:18,416 --> 01:34:20,750
shitting their pants, for example, even

1086
01:34:20,750 --> 01:34:22,041
if they were, I don't think they are.

1087
01:34:22,041 --> 01:34:23,916
But even if they were, you don't want to

1088
01:34:23,916 --> 01:34:26,208
admit that on like a world stage like

1089
01:34:26,208 --> 01:34:28,083
this because of all the coverage.

1090
01:34:28,083 --> 01:34:30,541
But you do want to rightly call out that

1091
01:34:30,541 --> 01:34:31,625
they're a competent competitor.

1092
01:34:32,083 --> 01:34:33,500
And, you know, it's just a wake up call

1093
01:34:33,500 --> 01:34:34,625
that we need to do something.

1094
01:34:34,625 --> 01:34:37,666
It's not the best. US is not the only

1095
01:34:37,666 --> 01:34:38,833
bastion of technology.

1096
01:34:39,666 --> 01:34:42,500
But yet the amount of money and

1097
01:34:42,500 --> 01:34:45,083
investment that the governments in China

1098
01:34:45,083 --> 01:34:47,166
are putting into their startups and

1099
01:34:47,166 --> 01:34:48,166
businesses in general

1100
01:34:48,166 --> 01:34:50,041
across the whole world, not just in AI,

1101
01:34:50,416 --> 01:34:53,250
is immense because they and they

1102
01:34:53,250 --> 01:34:54,041
fundamentally

1103
01:34:54,041 --> 01:34:55,750
understand the importance of both

1104
01:34:55,791 --> 01:34:58,041
education and business to drive wealth

1105
01:34:58,041 --> 01:34:58,958
within their economy.

1106
01:34:59,250 --> 01:35:00,375
And they are doing an

1107
01:35:00,375 --> 01:35:02,000
incredibly good job at that.

1108
01:35:03,291 --> 01:35:04,625
And, you know, that's that's why it's

1109
01:35:04,625 --> 01:35:05,875
putting pressure on these organizations.

1110
01:35:06,250 --> 01:35:07,500
But we talked about this before, right?

1111
01:35:07,500 --> 01:35:09,125
Like we said, when Deep City came out, it

1112
01:35:09,125 --> 01:35:10,916
wasn't like, oh, my goodness, this is

1113
01:35:10,916 --> 01:35:12,083
this is the end of the US.

1114
01:35:12,083 --> 01:35:13,958
It was like, hey, this is an exciting

1115
01:35:13,958 --> 01:35:15,916
wake up call for these businesses like

1116
01:35:15,916 --> 01:35:18,583
OpenAI and Claude, who are who are still

1117
01:35:18,583 --> 01:35:20,416
fundamentally way more advanced in

1118
01:35:20,416 --> 01:35:23,416
because they've got such a head start on

1119
01:35:23,416 --> 01:35:24,541
all these other organizations.

1120
01:35:24,916 --> 01:35:26,750
But it makes needs to be a wake up call

1121
01:35:26,750 --> 01:35:28,500
for them to make them think about how

1122
01:35:28,500 --> 01:35:29,583
they treat their customers,

1123
01:35:29,583 --> 01:35:30,500
how they treat the market.

1124
01:35:30,875 --> 01:35:33,166
Because very quickly, if they focus too

1125
01:35:33,166 --> 01:35:35,083
much on something that, you know, is

1126
01:35:35,083 --> 01:35:36,250
either just too much of a

1127
01:35:36,250 --> 01:35:37,583
money generator or not really

1128
01:35:37,583 --> 01:35:39,500
is going to change the market, then

1129
01:35:39,500 --> 01:35:42,458
companies like DigSeek and and the rest

1130
01:35:42,458 --> 01:35:43,625
are going to take over.

1131
01:35:44,208 --> 01:35:46,791
Yeah. And and even, Chris, you know, the

1132
01:35:46,791 --> 01:35:49,041
things that we've also highlighted in the

1133
01:35:49,041 --> 01:35:50,625
past couple of weeks is Manus.

1134
01:35:51,166 --> 01:35:53,208
That was the big wake up call like, whoa,

1135
01:35:53,208 --> 01:35:54,500
we're moving to this kind of model.

1136
01:35:54,666 --> 01:35:55,333
Like it's actually

1137
01:35:55,333 --> 01:35:57,458
everyone started talking about.

1138
01:35:57,500 --> 01:35:59,625
I remember from that point, oh, that

1139
01:35:59,625 --> 01:36:02,000
rappers are OK, like being

1140
01:36:02,000 --> 01:36:03,500
a rapper on top of stuff.

1141
01:36:03,500 --> 01:36:04,666
And like everything's a rapper.

1142
01:36:04,666 --> 01:36:06,208
If you think about it, Salesforce is a

1143
01:36:06,208 --> 01:36:07,333
rapper on top of Oracle.

1144
01:36:08,208 --> 01:36:10,333
Stripe is a rapper on top of Visa

1145
01:36:10,333 --> 01:36:11,416
because, you know, they have

1146
01:36:11,416 --> 01:36:13,000
APIs into these connections.

1147
01:36:13,000 --> 01:36:14,125
And it's just like it's

1148
01:36:14,125 --> 01:36:15,166
all about the service, right?

1149
01:36:15,166 --> 01:36:16,583
It's about what you create. And it's a

1150
01:36:16,583 --> 01:36:18,000
good reminder of that kind of stuff.

1151
01:36:18,000 --> 01:36:19,833
But this was interesting. And you

1152
01:36:19,833 --> 01:36:20,625
highlighted the

1153
01:36:20,625 --> 01:36:22,000
investment side of things there.

1154
01:36:22,000 --> 01:36:23,625
It's one of the highlight. And to your

1155
01:36:23,625 --> 01:36:25,750
point earlier, huge

1156
01:36:25,750 --> 01:36:26,958
congratulations to our friends

1157
01:36:27,041 --> 01:36:29,833
that are Relevance AI tools that we

1158
01:36:29,833 --> 01:36:31,250
probably need to use more and more

1159
01:36:31,250 --> 01:36:31,875
because of all the

1160
01:36:31,875 --> 01:36:33,208
connectivity that they've got.

1161
01:36:33,916 --> 01:36:36,500
But they did an initial raise, I think,

1162
01:36:36,916 --> 01:36:39,875
24 million or something like that or

1163
01:36:39,875 --> 01:36:41,916
something along those lines early on.

1164
01:36:42,750 --> 01:36:44,583
I can't remember what their their series

1165
01:36:44,583 --> 01:36:46,708
was, but, you know, we can

1166
01:36:46,708 --> 01:36:47,625
look it up on Crunchbase.

1167
01:36:47,833 --> 01:36:50,791
But this recent one is a 37 million

1168
01:36:50,791 --> 01:36:53,208
raise, which is actually

1169
01:36:53,208 --> 01:36:54,500
no, I think it was 24 US.

1170
01:36:54,583 --> 01:36:59,000
It's 37 million Australian. And Marie

1171
01:36:59,000 --> 01:37:00,583
highlights that here.

1172
01:37:01,083 --> 01:37:03,041
And yeah, the founders, we know Jackie

1173
01:37:03,041 --> 01:37:05,250
from early data science

1174
01:37:05,250 --> 01:37:07,041
and AI Association days.

1175
01:37:07,041 --> 01:37:09,083
He was running that association that I

1176
01:37:09,083 --> 01:37:10,125
took over for a little bit

1177
01:37:10,125 --> 01:37:12,166
with Arturo, my colleague.

1178
01:37:12,166 --> 01:37:13,541
And then we passed that

1179
01:37:13,541 --> 01:37:15,291
back to some other founders.

1180
01:37:15,625 --> 01:37:17,958
But yeah, really great stuff. If you

1181
01:37:17,958 --> 01:37:19,125
haven't seen, they've got a lot of great

1182
01:37:19,125 --> 01:37:21,291
videos as to how to connect data.

1183
01:37:21,541 --> 01:37:24,791
I think like 40,000 workflows being

1184
01:37:24,791 --> 01:37:25,791
generated at the moment.

1185
01:37:26,041 --> 01:37:27,458
So some really interesting stuff that

1186
01:37:27,458 --> 01:37:28,166
they've got. But, you

1187
01:37:28,166 --> 01:37:29,000
know, they've raised.

1188
01:37:29,500 --> 01:37:31,083
I think we need to see more of this kind

1189
01:37:31,083 --> 01:37:31,708
of stuff and this

1190
01:37:31,708 --> 01:37:32,916
belief in Aussie companies.

1191
01:37:33,541 --> 01:37:35,250
Yeah, I mean, you said it's America. So

1192
01:37:35,250 --> 01:37:36,875
it is like Aussie companies getting

1193
01:37:36,875 --> 01:37:38,500
capital raises in the states.

1194
01:37:38,500 --> 01:37:39,708
If we can get some of those raises

1195
01:37:39,708 --> 01:37:41,416
happening in our country, that would be

1196
01:37:41,416 --> 01:37:42,875
even more incredible.

1197
01:37:43,541 --> 01:37:45,250
I mean, it's been a big week for a big

1198
01:37:45,250 --> 01:37:47,041
couple of weeks for raises across the

1199
01:37:47,041 --> 01:37:47,541
board, like not

1200
01:37:47,541 --> 01:37:48,708
Australian companies in the sense,

1201
01:37:48,791 --> 01:37:50,708
but in the AI space, they've got Wisdom

1202
01:37:50,708 --> 01:37:53,000
AI, which is like a big data AI company.

1203
01:37:53,875 --> 01:37:56,250
They just raised 23 million dollars.

1204
01:37:56,916 --> 01:37:58,416
OX Security, which is actually a pretty

1205
01:37:58,416 --> 01:38:01,458
cool business that spanned up, you know,

1206
01:38:01,458 --> 01:38:03,041
with the rise of things like vibe coding.

1207
01:38:04,208 --> 01:38:05,458
You know, people starting to release

1208
01:38:05,458 --> 01:38:07,541
scarily products that haven't had enough

1209
01:38:07,541 --> 01:38:08,708
thought around, you know,

1210
01:38:08,708 --> 01:38:10,666
the foundations that you would usually

1211
01:38:10,666 --> 01:38:12,875
spend a lot of time in to make sure your

1212
01:38:12,875 --> 01:38:14,666
product is secure, your data is secure,

1213
01:38:14,666 --> 01:38:16,291
your customer information and

1214
01:38:16,291 --> 01:38:17,875
transactional data is secure.

1215
01:38:18,875 --> 01:38:22,333
This is an AI tool that helps to scan and

1216
01:38:22,333 --> 01:38:23,750
find those issues in

1217
01:38:23,750 --> 01:38:25,333
security across all products.

1218
01:38:25,666 --> 01:38:27,083
They just raised 60 million.

1219
01:38:27,083 --> 01:38:28,125
This is all US dollars as well.

1220
01:38:28,708 --> 01:38:31,125
Yeah, a game company called Set, which is

1221
01:38:31,125 --> 01:38:33,583
essentially an AI agent development

1222
01:38:33,583 --> 01:38:36,333
business for creating agents for video

1223
01:38:36,333 --> 01:38:37,583
games in the AI space.

1224
01:38:38,000 --> 01:38:39,541
They raised 27 million dollars.

1225
01:38:39,833 --> 01:38:42,708
Like it's already including relevance and

1226
01:38:42,708 --> 01:38:44,333
a whole bunch of other organizations over

1227
01:38:44,333 --> 01:38:45,708
the last couple of weeks.

1228
01:38:45,750 --> 01:38:47,750
We're talking, you know, 200 plus million

1229
01:38:47,750 --> 01:38:49,791
dollars or more just in investments

1230
01:38:49,791 --> 01:38:50,833
across the AI space.

1231
01:38:51,041 --> 01:38:53,833
So money is being thrown at these ideas.

1232
01:38:54,041 --> 01:38:55,208
It is it is crazy.

1233
01:38:55,583 --> 01:38:57,375
So it's pretty exciting.

1234
01:38:57,375 --> 01:38:57,833
It's pretty exciting

1235
01:38:57,833 --> 01:38:58,875
seeing all this stuff come up.

1236
01:38:58,875 --> 01:39:00,625
And a lot of them are there like we

1237
01:39:00,625 --> 01:39:01,416
talked about this moment.

1238
01:39:01,416 --> 01:39:02,416
There are wrappers there.

1239
01:39:02,416 --> 01:39:04,750
All the things that help to build things

1240
01:39:04,750 --> 01:39:06,791
based on stuff that already exists in the

1241
01:39:06,791 --> 01:39:09,000
market and putting your own spin on it.

1242
01:39:09,000 --> 01:39:09,791
So this is awesome.

1243
01:39:10,375 --> 01:39:10,708
Absolutely.

1244
01:39:11,375 --> 01:39:14,291
I've got two more things to highlight and

1245
01:39:14,291 --> 01:39:16,083
then we will jump back to you.

1246
01:39:16,083 --> 01:39:17,416
That's a few more things. Yeah, let's go.

1247
01:39:17,666 --> 01:39:19,333
That wraps it up for me on the news.

1248
01:39:19,625 --> 01:39:21,916
I wanted to highlight this a new

1249
01:39:21,916 --> 01:39:23,333
newsletter, a new

1250
01:39:23,333 --> 01:39:26,958
newsletter, a new, new news, new, new.

1251
01:39:27,166 --> 01:39:28,166
Like would you say?

1252
01:39:28,166 --> 01:39:29,375
Yeah, anyway, I won't get into the

1253
01:39:29,375 --> 01:39:31,208
semantics of how words are said.

1254
01:39:31,208 --> 01:39:33,583
But next gen university, this is written

1255
01:39:33,583 --> 01:39:35,875
by the awesome and

1256
01:39:35,875 --> 01:39:37,291
amazing Phil Laffenberg.

1257
01:39:37,583 --> 01:39:39,125
He is the head of AI

1258
01:39:39,125 --> 01:39:40,083
at Macquarie University.

1259
01:39:40,125 --> 01:39:40,708
There we go.

1260
01:39:41,791 --> 01:39:44,000
And as part of that, he's actually head

1261
01:39:44,000 --> 01:39:46,291
of AI for Macquarie Hospital, which is

1262
01:39:46,291 --> 01:39:47,000
part of the university.

1263
01:39:47,458 --> 01:39:50,000
So the exact summary here, he's talking

1264
01:39:50,000 --> 01:39:51,625
about universities facing unprecedented

1265
01:39:51,625 --> 01:39:53,458
disruption when it comes to AI tech.

1266
01:39:53,875 --> 01:39:55,583
We see this not just universities, but

1267
01:39:55,583 --> 01:39:57,041
like schools and stuff as well.

1268
01:39:57,500 --> 01:39:58,708
Like, how do you combat cheating?

1269
01:39:58,708 --> 01:40:00,083
How do you combat like blah, blah, blah?

1270
01:40:00,083 --> 01:40:01,375
And it's just like I think

1271
01:40:01,375 --> 01:40:02,291
just at a very high level.

1272
01:40:02,291 --> 01:40:03,958
And obviously there is nuance to this and

1273
01:40:03,958 --> 01:40:05,250
Phil dives into it a bit more.

1274
01:40:05,250 --> 01:40:06,375
But there's a need to

1275
01:40:06,375 --> 01:40:08,875
like change how we measure.

1276
01:40:09,916 --> 01:40:11,541
It's not enough to just

1277
01:40:11,541 --> 01:40:13,208
go, oh, let's just ban it.

1278
01:40:13,208 --> 01:40:15,125
That's always the easiest response.

1279
01:40:15,125 --> 01:40:16,250
It takes very little thought.

1280
01:40:16,500 --> 01:40:19,750
It takes, you know, just little effort.

1281
01:40:19,916 --> 01:40:21,583
Actually, it takes more effort to learn

1282
01:40:21,583 --> 01:40:23,458
how and change the way

1283
01:40:23,458 --> 01:40:24,458
that we grade things.

1284
01:40:24,458 --> 01:40:26,541
So the existential challenge and he

1285
01:40:26,541 --> 01:40:27,833
highlights here, you know, that we need

1286
01:40:27,833 --> 01:40:29,375
to move beyond our resistance.

1287
01:40:29,625 --> 01:40:30,791
It's a mindset change.

1288
01:40:31,125 --> 01:40:33,125
It's understandable, but it is dangerous.

1289
01:40:33,125 --> 01:40:34,708
And I would argue there's a saying like,

1290
01:40:34,708 --> 01:40:36,791
you know, the worst thing that we could

1291
01:40:36,791 --> 01:40:39,000
do is like probably ban it.

1292
01:40:40,000 --> 01:40:43,291
But sorry, the yeah, like it's the worst

1293
01:40:43,291 --> 01:40:45,083
of like many kind of outcomes there.

1294
01:40:45,458 --> 01:40:47,000
I forget that the full kind of saying

1295
01:40:47,000 --> 01:40:49,083
there, but like at best I think that, you

1296
01:40:49,083 --> 01:40:50,125
know, we we need to

1297
01:40:50,125 --> 01:40:51,500
actually do something more there.

1298
01:40:51,500 --> 01:40:52,541
But he highlights here.

1299
01:40:52,541 --> 01:40:53,958
What's the what does it look like?

1300
01:40:53,958 --> 01:40:55,041
What is an AI enabled

1301
01:40:55,041 --> 01:40:56,291
University look like?

1302
01:40:56,291 --> 01:40:57,458
And there's things from personalized

1303
01:40:57,458 --> 01:41:00,291
learning, transforming faculty roles,

1304
01:41:01,041 --> 01:41:02,708
reinvented physical spaces,

1305
01:41:03,250 --> 01:41:04,583
the ways in which we learn,

1306
01:41:04,708 --> 01:41:07,125
maybe the classroom style with teacher up

1307
01:41:07,125 --> 01:41:09,250
front and just, you know, all the things

1308
01:41:09,250 --> 01:41:10,000
around there or the

1309
01:41:10,000 --> 01:41:11,250
auditorium style that,

1310
01:41:11,250 --> 01:41:13,125
you know, remember, remember uni days

1311
01:41:13,125 --> 01:41:14,666
back like 20 years ago, Chris.

1312
01:41:15,000 --> 01:41:17,708
Yeah. And this is really interesting.

1313
01:41:18,833 --> 01:41:20,666
The enhanced support like having more of

1314
01:41:20,666 --> 01:41:21,791
an everyday supporter.

1315
01:41:22,333 --> 01:41:23,916
We're talking here about education that

1316
01:41:23,916 --> 01:41:25,583
we've seen and spoken about this and done

1317
01:41:25,583 --> 01:41:27,750
little mini projects and MVPs for what

1318
01:41:27,750 --> 01:41:29,041
does that look like from

1319
01:41:29,041 --> 01:41:30,291
a healthcare perspective.

1320
01:41:30,916 --> 01:41:33,000
But I like this last part new credential

1321
01:41:33,000 --> 01:41:35,041
new credentialing models

1322
01:41:35,041 --> 01:41:37,041
and what that could mean.

1323
01:41:37,041 --> 01:41:39,000
We're doing a project in the Middle East

1324
01:41:39,000 --> 01:41:41,625
that has to do with blockchain and AI

1325
01:41:41,625 --> 01:41:44,458
around student credentials where,

1326
01:41:44,708 --> 01:41:46,250
you know, blockchain helps you secure

1327
01:41:46,250 --> 01:41:48,708
what your scores are and be able to show

1328
01:41:48,708 --> 01:41:52,583
as and when you need to certain parts of

1329
01:41:52,583 --> 01:41:53,958
your grades and being

1330
01:41:53,958 --> 01:41:55,166
able to verify that.

1331
01:41:55,166 --> 01:41:57,000
And then I smart sitting on top of it.

1332
01:41:57,083 --> 01:41:58,916
You know, really fascinating stuff.

1333
01:41:58,916 --> 01:42:00,541
And this is the first of a couple of

1334
01:42:00,541 --> 01:42:03,041
articles that a couple first of a new

1335
01:42:03,041 --> 01:42:04,500
newsletter that Phil's

1336
01:42:04,500 --> 01:42:05,291
going to come out with.

1337
01:42:05,291 --> 01:42:07,583
But have you seen much on the AI and

1338
01:42:07,583 --> 01:42:09,000
education space yourself?

1339
01:42:10,166 --> 01:42:13,541
Not not specifically targeted and looking

1340
01:42:13,541 --> 01:42:14,833
at it, but I have seen a lot of

1341
01:42:14,833 --> 01:42:16,333
businesses and organizations doing

1342
01:42:16,333 --> 01:42:18,750
building a lot of tools in that space.

1343
01:42:19,333 --> 01:42:20,333
I was actually reading up about something

1344
01:42:20,333 --> 01:42:22,125
recently as I was looking up information

1345
01:42:22,125 --> 01:42:23,666
relating to this NBA piece.

1346
01:42:24,291 --> 01:42:26,333
This gave my mind, but there are a lot of

1347
01:42:26,333 --> 01:42:27,916
organizations that are building new tools

1348
01:42:27,916 --> 01:42:31,208
targeting that particularly to manage and

1349
01:42:31,208 --> 01:42:34,666
access documentation that universities

1350
01:42:34,666 --> 01:42:36,708
have like in the research space and etc.

1351
01:42:36,708 --> 01:42:38,666
So there's a lot of platforms that are

1352
01:42:38,666 --> 01:42:41,875
coming out in that space, but not not

1353
01:42:41,875 --> 01:42:43,333
beyond in terms of targeting

1354
01:42:43,333 --> 01:42:44,541
what you just talked about.

1355
01:42:44,916 --> 01:42:47,000
And speaking of and so this is the final

1356
01:42:47,000 --> 01:42:49,125
thing for me in terms of change.

1357
01:42:50,708 --> 01:42:52,666
This note here from

1358
01:42:52,666 --> 01:42:55,291
Fiverr, the Fiverr CEO.

1359
01:42:56,166 --> 01:42:57,500
And let's just bring up

1360
01:42:57,500 --> 01:42:59,250
what Misha said to his team.

1361
01:42:59,833 --> 01:43:01,541
And he said that, look, I'm leaking this

1362
01:43:01,541 --> 01:43:02,958
before it gets leaked.

1363
01:43:04,083 --> 01:43:05,666
So he's pre leaking it.

1364
01:43:06,916 --> 01:43:08,000
If that is a thing.

1365
01:43:08,333 --> 01:43:10,750
But radical candor, you know, now this

1366
01:43:10,750 --> 01:43:14,583
has been both praised and lambasted, you

1367
01:43:14,583 --> 01:43:16,458
know, being spoken critically against

1368
01:43:16,458 --> 01:43:19,083
just the unpleasant truth.

1369
01:43:19,083 --> 01:43:21,416
Did he leak it before he sent it to his

1370
01:43:21,416 --> 01:43:22,208
team or did he do

1371
01:43:22,208 --> 01:43:23,708
like take it to his team?

1372
01:43:24,125 --> 01:43:26,666
OK, so this is a copy. Yeah.

1373
01:43:26,666 --> 01:43:28,125
Push it out to the public before I share

1374
01:43:28,125 --> 01:43:29,000
it with my own team.

1375
01:43:29,000 --> 01:43:31,000
No, he's he put it out to the team and

1376
01:43:31,000 --> 01:43:32,958
then not long after he's leaked it.

1377
01:43:32,958 --> 01:43:34,125
Yeah, of course.

1378
01:43:34,500 --> 01:43:35,750
Because this is like

1379
01:43:35,750 --> 01:43:37,791
definitely an impactful thing.

1380
01:43:37,791 --> 01:43:38,583
Someone's going to leak it.

1381
01:43:38,583 --> 01:43:39,791
So it's like, well, I'm going to do it.

1382
01:43:39,791 --> 01:43:41,166
And even if someone got in there before,

1383
01:43:41,166 --> 01:43:42,375
just because it's coming from the CEO, I

1384
01:43:42,375 --> 01:43:43,250
think it's going to highlight it.

1385
01:43:43,625 --> 01:43:45,458
Yes, from Greg Eisenberg, who does a lot

1386
01:43:45,458 --> 01:43:47,333
of great videos and content on AI.

1387
01:43:47,541 --> 01:43:49,375
Definitely worth a follow Greg Eisenberg.

1388
01:43:49,791 --> 01:43:50,833
I was coming for your jobs.

1389
01:43:50,833 --> 01:43:52,083
Heck, it's coming from my job, too.

1390
01:43:52,083 --> 01:43:52,791
There's a wake up call.

1391
01:43:53,208 --> 01:43:54,708
Doesn't matter. Whatever job that you're

1392
01:43:54,708 --> 01:43:56,750
doing, you need to understand that, like,

1393
01:43:56,750 --> 01:43:57,666
once considered easy

1394
01:43:57,666 --> 01:44:00,125
tasks will no longer exist.

1395
01:44:01,166 --> 01:44:03,416
What was once considered hard will be the

1396
01:44:03,416 --> 01:44:05,333
new easy and what was once considered

1397
01:44:05,333 --> 01:44:07,458
impossible will be the new hard.

1398
01:44:07,458 --> 01:44:09,041
And I love it. It's like very much like

1399
01:44:09,041 --> 01:44:11,291
what Ethan Mollick, another famed

1400
01:44:11,291 --> 01:44:13,500
researcher and educator in AI,

1401
01:44:13,583 --> 01:44:15,583
space was saying that with his students,

1402
01:44:15,583 --> 01:44:17,458
for example, things that used to be

1403
01:44:17,458 --> 01:44:18,541
impossible, the bars

1404
01:44:18,541 --> 01:44:20,416
raised, it was impossible before.

1405
01:44:20,416 --> 01:44:22,125
But now that's just like what the what

1406
01:44:22,125 --> 01:44:23,833
standard constitutes a good grade.

1407
01:44:24,083 --> 01:44:24,916
And I think you need to think

1408
01:44:24,916 --> 01:44:26,083
about that for jobs as well.

1409
01:44:26,083 --> 01:44:27,583
So it's great seeing this.

1410
01:44:28,166 --> 01:44:30,291
Now it is scary for people, though.

1411
01:44:30,291 --> 01:44:30,916
I mean, what do you think?

1412
01:44:31,750 --> 01:44:33,333
I mean, we just talked about the report

1413
01:44:33,333 --> 01:44:34,666
earlier where they had an investigation

1414
01:44:34,666 --> 01:44:35,875
into this ride and they

1415
01:44:35,875 --> 01:44:37,375
looked at only the two percent,

1416
01:44:37,375 --> 01:44:37,708
two point eight

1417
01:44:37,708 --> 01:44:39,041
percent uprisers and changes.

1418
01:44:39,583 --> 01:44:42,291
And I think this is I mean, it shows that

1419
01:44:42,291 --> 01:44:44,375
one that this report is very general

1420
01:44:44,375 --> 01:44:45,333
across all industry.

1421
01:44:45,750 --> 01:44:48,416
And we get very specific now into what is

1422
01:44:48,416 --> 01:44:49,500
a business, which is a

1423
01:44:49,500 --> 01:44:51,291
digital and online service fiber,

1424
01:44:52,125 --> 01:44:54,875
where, you know, a lot of that lot of

1425
01:44:54,875 --> 01:44:57,083
their effort and resources

1426
01:44:57,083 --> 01:44:59,166
of people go into development.

1427
01:44:59,458 --> 01:45:02,000
It is in sales and and and

1428
01:45:02,000 --> 01:45:03,000
management of the platform.

1429
01:45:03,166 --> 01:45:05,666
Right. And those jobs in particular are

1430
01:45:05,666 --> 01:45:08,958
very rapidly going to be consumed by AI.

1431
01:45:09,000 --> 01:45:11,041
So making sure you're getting ahead of

1432
01:45:11,041 --> 01:45:12,166
that, understanding the

1433
01:45:12,166 --> 01:45:15,041
implications and becoming the change

1434
01:45:16,083 --> 01:45:18,166
will mean that you will you'll keep your

1435
01:45:18,166 --> 01:45:20,250
job secure because you will also be able

1436
01:45:20,250 --> 01:45:21,958
to show to the organization

1437
01:45:22,458 --> 01:45:25,750
the relevance of your worth based on the

1438
01:45:25,750 --> 01:45:27,500
new things that are coming as you either

1439
01:45:27,500 --> 01:45:29,416
become the leader in that space or you

1440
01:45:29,416 --> 01:45:31,708
show you in a great those tools or you

1441
01:45:31,708 --> 01:45:33,708
find new things to do above

1442
01:45:34,333 --> 01:45:35,375
because you have an understanding of

1443
01:45:35,375 --> 01:45:36,500
those things that are taking over, you

1444
01:45:36,500 --> 01:45:37,291
find new things to do

1445
01:45:37,291 --> 01:45:38,208
above and beyond that.

1446
01:45:38,500 --> 01:45:40,541
Absolutely, because like when you start

1447
01:45:40,541 --> 01:45:42,458
to use it, like, say, for example, handy

1448
01:45:42,458 --> 01:45:44,583
tip here for people like don't just let

1449
01:45:44,583 --> 01:45:47,208
the AI come up with the structure.

1450
01:45:47,916 --> 01:45:49,291
Like we talked about giving it inputs,

1451
01:45:49,291 --> 01:45:50,541
one of the inputs you need to give it if

1452
01:45:50,541 --> 01:45:51,958
you needed to write a report, for

1453
01:45:51,958 --> 01:45:53,791
example, or do anything is

1454
01:45:53,791 --> 01:45:55,000
like give it the structure.

1455
01:45:55,250 --> 01:45:57,916
Let it you lead the AI and showcasing how

1456
01:45:57,916 --> 01:46:00,041
you lead it, how you use AI to do things

1457
01:46:00,041 --> 01:46:02,125
more efficiently, makes you valuable

1458
01:46:02,125 --> 01:46:03,625
versus those that don't.

1459
01:46:03,666 --> 01:46:05,375
It is a race again, and there are going

1460
01:46:05,375 --> 01:46:06,541
to be, you know, jobs that

1461
01:46:06,541 --> 01:46:08,166
change will need less people.

1462
01:46:09,250 --> 01:46:11,125
But, you know, just this is the time when

1463
01:46:11,125 --> 01:46:12,375
people that actually embrace

1464
01:46:12,375 --> 01:46:14,500
and accept it do do better.

1465
01:46:14,500 --> 01:46:16,625
But I find this comment here just before

1466
01:46:16,625 --> 01:46:18,416
I finish up and get back to you, kind of

1467
01:46:18,416 --> 01:46:19,541
like ironic because someone

1468
01:46:19,541 --> 01:46:20,833
said, oh, the irony of a CEO

1469
01:46:21,250 --> 01:46:22,833
warning about taking jobs or missing that

1470
01:46:22,833 --> 01:46:23,791
his corner office is

1471
01:46:23,791 --> 01:46:24,666
prime for automation.

1472
01:46:24,666 --> 01:46:26,541
And someone points out he

1473
01:46:26,541 --> 01:46:29,666
actually said he was he was fine.

1474
01:46:30,958 --> 01:46:33,125
So, again, someone probably needed to use

1475
01:46:33,125 --> 01:46:35,291
AI to read this better or maybe they use

1476
01:46:35,291 --> 01:46:37,208
AI and then they didn't check the work.

1477
01:46:38,000 --> 01:46:39,208
Check the work is a

1478
01:46:39,208 --> 01:46:40,625
perfect example there.

1479
01:46:41,000 --> 01:46:43,833
Yeah. So I will hand back over to you, my

1480
01:46:43,833 --> 01:46:46,166
friend, to wrap up the news and then

1481
01:46:46,166 --> 01:46:46,833
let's get into some

1482
01:46:46,833 --> 01:46:47,625
of the other examples.

1483
01:46:50,000 --> 01:46:51,750
Yeah, let's go into a quick fire news

1484
01:46:51,750 --> 01:46:53,625
time as I bring up my stuff.

1485
01:46:54,000 --> 01:46:55,500
So I kind of missed this last week.

1486
01:46:55,500 --> 01:46:59,000
It happened a few in line with the stuff

1487
01:46:59,000 --> 01:47:00,750
that we talked about last week.

1488
01:47:01,583 --> 01:47:03,916
Notebook LM had a big update.

1489
01:47:04,166 --> 01:47:05,916
It looks kind of like under the radar,

1490
01:47:06,333 --> 01:47:07,875
you know, big update and change.

1491
01:47:08,333 --> 01:47:11,250
So two point five Gemini two point five

1492
01:47:11,250 --> 01:47:13,541
is now integrated into Notebook.

1493
01:47:13,541 --> 01:47:15,708
So it's improved the overall output of

1494
01:47:15,708 --> 01:47:18,750
the audio, but also expands on how you

1495
01:47:18,750 --> 01:47:21,750
can prompt and query your notes, the

1496
01:47:21,750 --> 01:47:22,458
things that you've uploaded

1497
01:47:22,458 --> 01:47:24,000
into your little projects within Notebook

1498
01:47:24,000 --> 01:47:25,416
LM as well, which is really cool.

1499
01:47:25,458 --> 01:47:26,500
So you can expand on those

1500
01:47:26,500 --> 01:47:27,708
queries and get better results.

1501
01:47:28,291 --> 01:47:30,000
It doesn't give the full fledged

1502
01:47:30,000 --> 01:47:31,750
capabilities around image generation and

1503
01:47:31,750 --> 01:47:33,125
video generations with Vio and all those

1504
01:47:33,125 --> 01:47:34,208
other tools that you get if you go

1505
01:47:34,208 --> 01:47:35,125
directly into Gemini.

1506
01:47:35,333 --> 01:47:36,833
But a very good update to help really

1507
01:47:36,833 --> 01:47:37,958
that output that you get.

1508
01:47:38,250 --> 01:47:40,041
Not only that, something I did have in my

1509
01:47:40,041 --> 01:47:41,375
notes, we didn't talk about, but they've

1510
01:47:41,375 --> 01:47:42,250
also added a whole

1511
01:47:42,250 --> 01:47:43,708
bunch of language packs now.

1512
01:47:44,083 --> 01:47:46,000
I think it was like 20 plus languages or

1513
01:47:46,000 --> 01:47:46,875
something like that.

1514
01:47:47,416 --> 01:47:48,541
Apologies if I got that number wrong.

1515
01:47:48,916 --> 01:47:50,291
But it means now, you know, you could

1516
01:47:50,291 --> 01:47:52,083
upload stuff in English and actually get

1517
01:47:52,083 --> 01:47:52,916
it to output in Spanish.

1518
01:47:53,166 --> 01:47:55,541
You could upload in Spanish and then, you

1519
01:47:55,541 --> 01:47:57,208
know, change it to Mandarin.

1520
01:47:57,541 --> 01:47:59,333
So the language pack has significantly

1521
01:47:59,333 --> 01:48:01,666
expanded for them relating to

1522
01:48:01,666 --> 01:48:03,208
the use of the LLM in there.

1523
01:48:03,208 --> 01:48:04,875
So that's a pretty exciting thing.

1524
01:48:05,500 --> 01:48:09,000
Very Claude integrated, updated its AI

1525
01:48:09,000 --> 01:48:12,375
tools, just more APIs, commerce

1526
01:48:12,375 --> 01:48:13,916
functionality as well around the

1527
01:48:13,916 --> 01:48:14,791
application features.

1528
01:48:15,666 --> 01:48:21,250
Really expanding on how you can utilize

1529
01:48:21,250 --> 01:48:23,500
it in third party applications, etc.

1530
01:48:24,291 --> 01:48:25,875
Beyond tooling, they also got serious

1531
01:48:25,875 --> 01:48:27,500
around their research.

1532
01:48:27,500 --> 01:48:28,083
They upgraded their

1533
01:48:28,083 --> 01:48:29,208
research engine as well.

1534
01:48:29,208 --> 01:48:30,458
Albeit, it's been pretty

1535
01:48:30,458 --> 01:48:33,000
with everyone utilizing it.

1536
01:48:33,000 --> 01:48:34,875
It still hasn't reached the heights of, I

1537
01:48:34,875 --> 01:48:36,583
think, what OpenAI research and

1538
01:48:36,583 --> 01:48:39,166
perplexity research capabilities and

1539
01:48:39,166 --> 01:48:40,291
other tools like that.

1540
01:48:40,583 --> 01:48:42,500
It's definitely still, as I think we

1541
01:48:42,500 --> 01:48:43,125
talked about last week,

1542
01:48:43,458 --> 01:48:45,916
Square and the Hey, we own coding.

1543
01:48:46,791 --> 01:48:48,416
So a few updates there just to really

1544
01:48:48,416 --> 01:48:49,875
help bolster and

1545
01:48:49,875 --> 01:48:51,291
solidify them in that space.

1546
01:48:53,791 --> 01:48:55,375
Back on the topic of Google, actually,

1547
01:48:55,666 --> 01:48:56,541
this was an interesting

1548
01:48:56,541 --> 01:48:57,958
article that came out.

1549
01:48:58,750 --> 01:49:00,666
And we've talked about this with the rise

1550
01:49:00,666 --> 01:49:02,750
of things like OpenAI releasing search

1551
01:49:02,750 --> 01:49:04,083
capabilities, obviously open.

1552
01:49:04,666 --> 01:49:05,916
Perplexity probably being one of the

1553
01:49:05,916 --> 01:49:08,250
first of the AI tools to properly

1554
01:49:08,250 --> 01:49:09,541
integrate some search features.

1555
01:49:09,708 --> 01:49:11,125
And they've got a new browser coming with

1556
01:49:11,125 --> 01:49:13,250
Comet, who knows when.

1557
01:49:13,583 --> 01:49:16,833
But there was a dip which hasn't been

1558
01:49:16,833 --> 01:49:19,458
seen in, I think I said 20 years in this

1559
01:49:19,458 --> 01:49:21,500
article, a dip in traffic.

1560
01:49:21,916 --> 01:49:24,625
I think specifically for, was it this?

1561
01:49:24,625 --> 01:49:25,250
It was Safari.

1562
01:49:26,125 --> 01:49:29,125
So they saw a, let me see

1563
01:49:29,125 --> 01:49:30,166
if I get the number here.

1564
01:49:31,291 --> 01:49:33,583
There was a dip in about one, like 2%,

1565
01:49:34,083 --> 01:49:36,000
almost 2% of search

1566
01:49:36,000 --> 01:49:39,041
traffic just recently.

1567
01:49:39,041 --> 01:49:40,375
I can't find the number on the page, but

1568
01:49:40,375 --> 01:49:41,708
if you can see, you can see it.

1569
01:49:41,958 --> 01:49:45,208
It was about 2% dip in traffic of Google

1570
01:49:45,208 --> 01:49:46,458
search results in Safari.

1571
01:49:46,458 --> 01:49:48,125
So for all of our users out there, which

1572
01:49:48,125 --> 01:49:50,250
is a significant volume, there was a drop

1573
01:49:50,250 --> 01:49:52,250
in people searching for terms.

1574
01:49:52,250 --> 01:49:53,958
And this is them turn, you know,

1575
01:49:53,958 --> 01:49:56,291
obviously going to other tools and

1576
01:49:56,291 --> 01:49:58,416
services for search, such as OpenAI,

1577
01:49:58,416 --> 01:50:00,041
trusting in the AI tools to do that.

1578
01:50:00,166 --> 01:50:01,375
So that's pretty massive because we're

1579
01:50:01,375 --> 01:50:03,250
talking like, you know, if you equate

1580
01:50:03,250 --> 01:50:04,583
that into figures, it'll be hundreds of

1581
01:50:04,583 --> 01:50:08,083
millions of dollars in actual search

1582
01:50:08,083 --> 01:50:09,666
traffic that has a slight dip.

1583
01:50:09,916 --> 01:50:10,583
And I think that will

1584
01:50:10,583 --> 01:50:12,375
probably impact stocks.

1585
01:50:12,583 --> 01:50:13,541
We've obviously that over the next,

1586
01:50:13,541 --> 01:50:14,833
there's not financial advice, but it

1587
01:50:14,833 --> 01:50:17,041
might impact the share of the next couple

1588
01:50:17,041 --> 01:50:19,541
of weeks if that dip continues to occur.

1589
01:50:20,000 --> 01:50:21,583
But the fact that that hasn't been seen

1590
01:50:21,583 --> 01:50:27,458
in like 10 plus years is a huge, huge and

1591
01:50:27,458 --> 01:50:30,541
very interesting statistic and trend as

1592
01:50:30,541 --> 01:50:32,125
AI starts to pick up more and people

1593
01:50:32,125 --> 01:50:33,000
shift to platforms

1594
01:50:33,000 --> 01:50:35,041
for the first time ever.

1595
01:50:36,583 --> 01:50:40,875
Lastly, my favorite tool for in my, like

1596
01:50:40,875 --> 01:50:43,041
in the stuff that I do, good old Figma, I

1597
01:50:43,041 --> 01:50:44,375
use it for pretty much every single

1598
01:50:44,375 --> 01:50:46,041
project I touch on when it comes to UX

1599
01:50:46,041 --> 01:50:48,708
and design and building up prototypes.

1600
01:50:48,708 --> 01:50:50,500
They had a huge update over the last

1601
01:50:50,500 --> 01:50:52,500
couple of weeks, particularly in Figma

1602
01:50:52,500 --> 01:50:55,250
site and a bunch of other tools that

1603
01:50:55,250 --> 01:50:57,458
allow you to connect into platforms like

1604
01:50:57,458 --> 01:50:59,291
UIZard and all these other

1605
01:50:59,291 --> 01:51:00,750
third party applications.

1606
01:51:01,333 --> 01:51:03,666
But this particular, this site tool now

1607
01:51:03,666 --> 01:51:07,166
allows you to generate Figma design

1608
01:51:07,166 --> 01:51:08,166
straight off the bat.

1609
01:51:08,166 --> 01:51:08,666
So it's a bit of an

1610
01:51:08,666 --> 01:51:10,416
optimization to their AI engine.

1611
01:51:11,125 --> 01:51:14,083
It gives you more custom frameworks, so

1612
01:51:14,083 --> 01:51:16,083
templates that you can drag and drop

1613
01:51:16,083 --> 01:51:18,125
imagery into rather than have to build

1614
01:51:18,125 --> 01:51:21,208
that frame up from scratch or find

1615
01:51:21,208 --> 01:51:23,541
someone else's content

1616
01:51:23,541 --> 01:51:24,208
that they've created.

1617
01:51:24,208 --> 01:51:25,833
So now you can have layouts that you can

1618
01:51:25,833 --> 01:51:28,333
just push and pull things into, kind of

1619
01:51:28,333 --> 01:51:29,958
makes creating, if anyone knows how to

1620
01:51:29,958 --> 01:51:31,750
use Figma, creating components,

1621
01:51:31,750 --> 01:51:33,875
especially a lot more easier, tones them

1622
01:51:33,875 --> 01:51:35,583
in and out of design work.

1623
01:51:36,625 --> 01:51:40,125
And also, as I mentioned, a bit of an

1624
01:51:40,125 --> 01:51:41,000
update into their

1625
01:51:41,000 --> 01:51:43,041
prompting, so create an analog clock.

1626
01:51:43,500 --> 01:51:45,750
And so then boom, that image or that bit

1627
01:51:45,750 --> 01:51:47,791
of code gets built up and you can then

1628
01:51:47,791 --> 01:51:49,666
drop that into your product as they're

1629
01:51:49,666 --> 01:51:51,791
showing there as part of the design that

1630
01:51:51,791 --> 01:51:52,666
you're creating for web

1631
01:51:52,666 --> 01:51:54,916
page application services, etc.

1632
01:51:55,375 --> 01:51:56,666
So really cool updates there.

1633
01:51:56,666 --> 01:51:57,916
I know they've been talking about this, I

1634
01:51:57,916 --> 01:51:58,500
reckon they're still a

1635
01:51:58,500 --> 01:51:59,791
little bit behind the ball.

1636
01:52:00,166 --> 01:52:01,625
They should have had this stuff come out

1637
01:52:01,625 --> 01:52:03,083
a long time ago, but they are a huge

1638
01:52:03,083 --> 01:52:04,041
organization, obviously.

1639
01:52:05,208 --> 01:52:07,500
And they're having to maintain a very

1640
01:52:07,500 --> 01:52:09,083
complex ecosystem with

1641
01:52:09,083 --> 01:52:09,875
adding these tools in.

1642
01:52:10,625 --> 01:52:12,166
Get it. But they probably need to step up

1643
01:52:12,166 --> 01:52:12,958
the game a little bit, but

1644
01:52:12,958 --> 01:52:14,333
very exciting nonetheless.

1645
01:52:14,875 --> 01:52:16,250
Definitely stuff that I'm going to be

1646
01:52:16,250 --> 01:52:17,750
playing with over the next week or so.

1647
01:52:18,375 --> 01:52:19,583
Fantastic. Great stuff.

1648
01:52:19,583 --> 01:52:20,833
And that's it for the

1649
01:52:20,833 --> 01:52:22,041
main part of the news.

1650
01:52:22,041 --> 01:52:23,916
But on that last point, something I

1651
01:52:23,916 --> 01:52:24,958
didn't want to talk about was a bit in

1652
01:52:24,958 --> 01:52:26,166
the prototyping space.

1653
01:52:26,208 --> 01:52:30,416
So I presented last night to a bunch of

1654
01:52:30,416 --> 01:52:33,708
MBA students just around...

1655
01:52:34,291 --> 01:52:35,708
National Basketball Association.

1656
01:52:36,208 --> 01:52:36,500
National?

1657
01:52:37,083 --> 01:52:37,291
National?

1658
01:52:37,750 --> 01:52:39,125
Like Master of Master of Master of Master

1659
01:52:39,125 --> 01:52:40,541
of Master of Master of Master of Master.

1660
01:52:42,041 --> 01:52:46,500
This is essentially was just talking

1661
01:52:46,500 --> 01:52:51,000
about the prototyping and

1662
01:52:51,000 --> 01:52:52,500
the use of AI in prototyping.

1663
01:52:52,541 --> 01:52:54,250
And people will... Yourself, you would

1664
01:52:54,250 --> 01:52:56,333
have heard about a lot of these tools and

1665
01:52:56,333 --> 01:52:58,458
how they work and what they can do.

1666
01:52:58,541 --> 01:53:00,625
But I just broke it down for people

1667
01:53:00,625 --> 01:53:01,583
talking about the

1668
01:53:01,583 --> 01:53:03,000
different phases of prototyping,

1669
01:53:03,000 --> 01:53:05,750
different types of prototyping, as we

1670
01:53:05,750 --> 01:53:07,125
mentioned, the start POCs,

1671
01:53:07,125 --> 01:53:09,250
prototype through to MVPs and MMPs and

1672
01:53:09,250 --> 01:53:11,000
beyond, and how you can

1673
01:53:11,000 --> 01:53:12,166
go about creating tools.

1674
01:53:12,958 --> 01:53:14,291
So there's no right way of doing things.

1675
01:53:14,291 --> 01:53:15,541
I'll do this hyper fast. I'm not going to

1676
01:53:15,541 --> 01:53:16,291
go through the full thing.

1677
01:53:16,291 --> 01:53:19,333
It takes an hour. But considering your

1678
01:53:19,333 --> 01:53:21,000
why, always start with your why and think

1679
01:53:21,000 --> 01:53:22,125
about the relevance of the tool.

1680
01:53:22,166 --> 01:53:23,583
This is the same stuff we always talk

1681
01:53:23,583 --> 01:53:24,750
about from an AI space.

1682
01:53:25,250 --> 01:53:26,541
This that thinking has

1683
01:53:26,541 --> 01:53:27,875
been around for forever.

1684
01:53:27,875 --> 01:53:29,333
This is not a new way of thinking when it

1685
01:53:29,333 --> 01:53:30,666
comes to process of development.

1686
01:53:31,166 --> 01:53:34,333
It's just now it's even more prevalent

1687
01:53:34,333 --> 01:53:37,291
because AI has such a high risk and has

1688
01:53:37,291 --> 01:53:38,875
such a variance as an output.

1689
01:53:38,875 --> 01:53:40,416
So we need to be wary of it. So thinking

1690
01:53:40,416 --> 01:53:41,541
about that is super important.

1691
01:53:42,250 --> 01:53:43,541
So the tools for like the traditional

1692
01:53:43,541 --> 01:53:44,791
design approach, which for

1693
01:53:44,791 --> 01:53:46,250
me, it still hasn't changed.

1694
01:53:46,250 --> 01:53:47,458
It still reigns supreme. It still gives

1695
01:53:47,458 --> 01:53:48,125
you the best output.

1696
01:53:48,166 --> 01:53:49,583
Even if you are someone that likes to

1697
01:53:49,583 --> 01:53:51,000
jump in and go straight into vibe coding,

1698
01:53:51,500 --> 01:53:53,166
there are pros and cons to doing that.

1699
01:53:53,166 --> 01:53:54,333
You go straight into vibe coding.

1700
01:53:54,333 --> 01:53:55,583
You're going to have a shit flight over

1701
01:53:55,583 --> 01:53:57,000
time further down the track.

1702
01:53:57,000 --> 01:53:58,125
Always have a plan up front.

1703
01:53:59,458 --> 01:54:00,666
So tools that for additional sense,

1704
01:54:01,125 --> 01:54:02,083
nothing beats on paper.

1705
01:54:02,291 --> 01:54:03,708
Let's step away from AI. It's still good

1706
01:54:03,708 --> 01:54:04,583
for sketching and quickly

1707
01:54:04,583 --> 01:54:05,750
validating with a couple of people.

1708
01:54:06,208 --> 01:54:07,500
But obviously now you've got tools like

1709
01:54:07,500 --> 01:54:09,083
Mirror Figma and UIsard.

1710
01:54:09,583 --> 01:54:11,458
UIsard is really great.

1711
01:54:11,500 --> 01:54:13,416
It probably has out of the three the best

1712
01:54:13,416 --> 01:54:15,750
AI application or

1713
01:54:15,750 --> 01:54:18,000
application design generation tools.

1714
01:54:18,333 --> 01:54:19,875
And it has a third party application

1715
01:54:19,875 --> 01:54:21,250
which plugs into Figma.

1716
01:54:21,250 --> 01:54:23,500
So you can actually use UIsard inside of

1717
01:54:23,500 --> 01:54:25,250
Figma in conjunction with

1718
01:54:25,250 --> 01:54:28,500
its own AI tools as well.

1719
01:54:28,500 --> 01:54:30,000
So you could go to town creating some

1720
01:54:30,000 --> 01:54:32,583
really nice visuals, utilizing a chat

1721
01:54:32,583 --> 01:54:34,958
feature and then start to prototype those

1722
01:54:34,958 --> 01:54:36,500
out within within the tools.

1723
01:54:38,000 --> 01:54:41,291
I've got examples of things which I might

1724
01:54:41,291 --> 01:54:43,500
show, but not for Figma and stuff just

1725
01:54:43,500 --> 01:54:45,541
because of privacy in a public forum.

1726
01:54:46,625 --> 01:54:47,500
So why might you use this?

1727
01:54:47,708 --> 01:54:48,916
You want to complete product journeys.

1728
01:54:49,208 --> 01:54:50,791
You want to pivot really quickly.

1729
01:54:51,625 --> 01:54:53,208
So starting with the real true processes

1730
01:54:53,208 --> 01:54:54,750
allow you to pivot faster.

1731
01:54:55,000 --> 01:54:56,166
Even if you're using AI in those

1732
01:54:56,166 --> 01:54:57,041
processes means you can

1733
01:54:57,041 --> 01:54:58,250
change what you're doing.

1734
01:54:58,250 --> 01:54:59,833
If you start going into vibe coding

1735
01:54:59,833 --> 01:55:01,958
straight away, being able to pivot when

1736
01:55:01,958 --> 01:55:03,416
you get too deep into the weeds of things

1737
01:55:03,416 --> 01:55:04,791
is really, really, really hard.

1738
01:55:05,625 --> 01:55:07,500
And as we know, as I'll skip ahead into

1739
01:55:07,500 --> 01:55:09,458
the vibe coding side of things.

1740
01:55:11,375 --> 01:55:12,750
As you know, if you start utilizing these

1741
01:55:12,750 --> 01:55:14,750
tools like Bolt, like Vercel or VO,

1742
01:55:15,083 --> 01:55:17,500
Lovable and Replay, which are amazing

1743
01:55:17,500 --> 01:55:20,000
tools for creating stuff.

1744
01:55:20,000 --> 01:55:22,291
And I highly recommend utilizing them as

1745
01:55:22,291 --> 01:55:23,833
part of your prototyping, particularly

1746
01:55:23,833 --> 01:55:25,541
Bolt as Mark, you and

1747
01:55:25,541 --> 01:55:27,041
I, we're big Bolt fans.

1748
01:55:27,791 --> 01:55:29,625
But you can even pull it out of Bolt and

1749
01:55:29,625 --> 01:55:34,041
then shove it into something like what's

1750
01:55:34,041 --> 01:55:35,541
called shove it into something.

1751
01:55:36,541 --> 01:55:38,458
You're thinking GitHub?

1752
01:55:39,041 --> 01:55:41,250
No, no, we can think of GitHub or into

1753
01:55:41,250 --> 01:55:43,125
the other vibe coding tool where you can

1754
01:55:43,125 --> 01:55:44,291
interrogate it a bit more.

1755
01:55:44,291 --> 01:55:44,666
Yeah, yeah.

1756
01:55:44,666 --> 01:55:47,041
So, you know, take your next steps, you

1757
01:55:47,041 --> 01:55:48,333
take things out of Bolt, you put into

1758
01:55:48,333 --> 01:55:50,000
GitHub or you can put it into it into

1759
01:55:50,000 --> 01:55:51,833
cursor, like all that stuff as possible.

1760
01:55:52,333 --> 01:55:54,208
But as we know, if you jump straight into

1761
01:55:54,208 --> 01:55:55,916
vibe coding, you're going to come up with

1762
01:55:55,916 --> 01:55:58,375
issues if you're not planning out your

1763
01:55:58,375 --> 01:55:59,625
processes properly in terms

1764
01:55:59,625 --> 01:56:00,541
of how you develop things.

1765
01:56:01,166 --> 01:56:02,958
Because if you don't know like what it is

1766
01:56:02,958 --> 01:56:03,291
that you're supposed to build.

1767
01:56:03,958 --> 01:56:05,125
Okay, great, I've got a prototype.

1768
01:56:05,583 --> 01:56:09,166
Look at the forums, ask, even ask AI, you

1769
01:56:09,166 --> 01:56:12,000
know, even if, yeah, it can hallucinate.

1770
01:56:12,000 --> 01:56:13,958
But if it's if it's AI that's doing a

1771
01:56:13,958 --> 01:56:15,833
search to find you the right answers as

1772
01:56:15,833 --> 01:56:17,166
to how do you keep things secure?

1773
01:56:17,166 --> 01:56:17,833
How do you publish?

1774
01:56:18,041 --> 01:56:18,625
How do you make sure

1775
01:56:18,625 --> 01:56:19,541
that you're not exposing?

1776
01:56:20,083 --> 01:56:21,166
Like there's a difference between

1777
01:56:21,166 --> 01:56:24,375
exposing public API keys, because not

1778
01:56:24,375 --> 01:56:26,375
keys, but like there are like, for

1779
01:56:26,375 --> 01:56:28,208
example, Superbase, which I use a lot of,

1780
01:56:28,208 --> 01:56:29,708
there is ways that you're supposed,

1781
01:56:29,958 --> 01:56:30,791
you're allowed to have

1782
01:56:30,791 --> 01:56:32,333
some public anonymous keys

1783
01:56:32,458 --> 01:56:34,000
because other apps like need that.

1784
01:56:34,458 --> 01:56:36,833
But that's very big difference versus

1785
01:56:36,833 --> 01:56:40,250
that and having like row level security

1786
01:56:40,250 --> 01:56:42,291
within the app so that only authorized

1787
01:56:42,291 --> 01:56:44,416
users and whitelisting and just all of

1788
01:56:44,416 --> 01:56:46,041
these things that all of a sudden you

1789
01:56:46,041 --> 01:56:49,583
start to become a a and understand what

1790
01:56:49,583 --> 01:56:52,500
is needed to do all this software like

1791
01:56:52,500 --> 01:56:53,750
front and back end full

1792
01:56:53,750 --> 01:56:55,958
stack, you know, engineering.

1793
01:56:56,458 --> 01:56:58,458
It's just that some of the parts of it,

1794
01:56:58,666 --> 01:57:00,041
yeah, sure, they can't be automated just

1795
01:57:00,041 --> 01:57:01,583
yet, but you can certainly

1796
01:57:01,583 --> 01:57:03,000
automate a lot of other parts.

1797
01:57:03,000 --> 01:57:04,416
But that's how you build like full scale

1798
01:57:04,416 --> 01:57:05,000
kind of apps, people

1799
01:57:05,000 --> 01:57:06,000
need to understand it.

1800
01:57:06,000 --> 01:57:07,166
So I think this is important what you

1801
01:57:07,166 --> 01:57:08,916
show exactly exactly that.

1802
01:57:08,916 --> 01:57:10,000
And that was that was one of the biggest

1803
01:57:10,000 --> 01:57:11,291
things we're talking about the risk of

1804
01:57:11,291 --> 01:57:13,000
this vibe coding and understanding that

1805
01:57:13,000 --> 01:57:14,250
process is still important.

1806
01:57:14,625 --> 01:57:16,500
Because if you do fundamentally start to

1807
01:57:16,500 --> 01:57:18,500
rely on using these platforms, and you

1808
01:57:18,500 --> 01:57:20,000
don't have the experience to develop

1809
01:57:20,000 --> 01:57:22,666
stuff, you are creating a lot of risks or

1810
01:57:22,666 --> 01:57:23,583
wasting a lot of time

1811
01:57:23,583 --> 01:57:25,000
you'll get so far down the track.

1812
01:57:25,500 --> 01:57:26,833
And as you mentioned, like, oh, fuck, I

1813
01:57:26,833 --> 01:57:28,541
haven't included my this whole bunch of

1814
01:57:28,541 --> 01:57:30,500
security protocols and all my API is

1815
01:57:30,500 --> 01:57:32,541
exposed, all my security keys are

1816
01:57:32,541 --> 01:57:34,000
exposed, all my customer data is all I

1817
01:57:34,000 --> 01:57:35,875
need to integrate a login screen all the

1818
01:57:35,875 --> 01:57:37,166
when I regenerate stuff,

1819
01:57:37,166 --> 01:57:38,166
it's breaking everything.

1820
01:57:38,666 --> 01:57:40,166
The steps that you go through develop

1821
01:57:40,166 --> 01:57:42,500
things is really, really important still

1822
01:57:42,500 --> 01:57:44,625
within the world of vibe coding and make

1823
01:57:44,625 --> 01:57:46,166
compact things and make things faster.

1824
01:57:46,500 --> 01:57:47,958
But the process is still the same.

1825
01:57:47,958 --> 01:57:49,041
You're just doing it last time.

1826
01:57:49,625 --> 01:57:51,625
And this is also where being able to

1827
01:57:51,625 --> 01:57:53,708
utilize tools like cursor to pull out,

1828
01:57:53,708 --> 01:57:55,583
you know, some initial prototypes from

1829
01:57:55,583 --> 01:57:57,041
things like bold and jump them into there

1830
01:57:57,041 --> 01:57:58,291
where you can actually play with the code

1831
01:57:58,291 --> 01:57:59,541
in a bit more of a meaningful way and

1832
01:57:59,541 --> 01:58:01,375
interrogate it, or even putting into

1833
01:58:01,375 --> 01:58:03,000
GitHub and using other Microsoft to

1834
01:58:03,000 --> 01:58:04,791
report Microsoft tools to be able to

1835
01:58:04,791 --> 01:58:06,416
interrogate that information or share it

1836
01:58:06,416 --> 01:58:08,708
with other technology, technology, you

1837
01:58:08,708 --> 01:58:10,125
know, consider people do that expanded

1838
01:58:10,125 --> 01:58:11,541
out will still be very important.

1839
01:58:11,958 --> 01:58:14,000
That said, once you get down to find on

1840
01:58:14,000 --> 01:58:15,791
the line, you have to also understand as

1841
01:58:15,791 --> 01:58:17,291
we go back to the problems

1842
01:58:17,291 --> 01:58:18,625
that I has hallucinations.

1843
01:58:19,500 --> 01:58:21,666
It does create particularly, you know,

1844
01:58:21,666 --> 01:58:23,208
Vio, lovable and replica, they create a

1845
01:58:23,208 --> 01:58:24,208
lot of junk code as well.

1846
01:58:24,625 --> 01:58:27,375
And you're gonna often have a huge mess

1847
01:58:27,375 --> 01:58:28,791
of information if you're creating very

1848
01:58:28,791 --> 01:58:32,750
complex tools, which will almost like in

1849
01:58:32,750 --> 01:58:34,708
to an extent or be almost impossible for

1850
01:58:34,708 --> 01:58:36,250
any person to just come in quick, they'll

1851
01:58:36,250 --> 01:58:37,166
pick it up and to be able

1852
01:58:37,166 --> 01:58:38,208
to make the changes needed.

1853
01:58:38,541 --> 01:58:39,833
It would just be as fast

1854
01:58:39,833 --> 01:58:41,041
to redo the whole thing.

1855
01:58:41,083 --> 01:58:42,958
And again, that's time wasted.

1856
01:58:43,458 --> 01:58:45,500
So process is important with all of this

1857
01:58:45,500 --> 01:58:47,083
and going through those stages of

1858
01:58:47,083 --> 01:58:48,708
considering a development when you're

1859
01:58:48,708 --> 01:58:51,041
starting to utilize these types of tools

1860
01:58:51,041 --> 01:58:52,416
to build things must

1861
01:58:52,416 --> 01:58:53,166
always be considered.

1862
01:58:53,458 --> 01:58:56,208
That said, the key takeaway I was saying

1863
01:58:56,208 --> 01:58:57,208
to people that when it comes to

1864
01:58:57,208 --> 01:58:59,208
prototyping, if you go through those

1865
01:58:59,208 --> 01:59:00,750
right steps, these tools are amazing.

1866
01:59:01,000 --> 01:59:02,666
I highly recommend jumping in and playing

1867
01:59:02,666 --> 01:59:04,500
real, especially things like bolt if or

1868
01:59:04,500 --> 01:59:06,500
if you're more of a front end person

1869
01:59:06,500 --> 01:59:09,875
going into into Vio or lovable to start

1870
01:59:09,875 --> 01:59:10,791
building things out.

1871
01:59:11,083 --> 01:59:13,916
How really, really, really good.

1872
01:59:14,333 --> 01:59:15,833
And your bolt in particular, it's backed

1873
01:59:15,833 --> 01:59:18,333
by Claude, best code generator that we

1874
01:59:18,333 --> 01:59:19,375
all agree out there.

1875
01:59:19,375 --> 01:59:20,625
So you're going to get some amazing

1876
01:59:20,625 --> 01:59:21,416
results out there and

1877
01:59:21,416 --> 01:59:22,416
in a much cleaner sense.

1878
01:59:22,875 --> 01:59:24,458
But again, back to it, process.

1879
01:59:25,458 --> 01:59:26,791
I think that people also need to just

1880
01:59:26,791 --> 01:59:29,750
remember that I've seen it many times in

1881
01:59:29,750 --> 01:59:32,083
the bolt community, just people knew you,

1882
01:59:32,083 --> 01:59:34,083
newly getting into this, not having

1883
01:59:34,083 --> 01:59:35,708
enough patience because they just think

1884
01:59:35,708 --> 01:59:36,916
that, well, you've gone

1885
01:59:36,916 --> 01:59:38,416
from no coding, right?

1886
01:59:38,875 --> 01:59:40,916
Zero capability and then getting

1887
01:59:40,916 --> 01:59:42,708
frustrated or the things not working and

1888
01:59:42,708 --> 01:59:44,500
stuff like there's a learning curve.

1889
01:59:44,708 --> 01:59:45,708
And if you don't wake up the learning

1890
01:59:45,708 --> 01:59:46,875
curve, you'll get left behind.

1891
01:59:47,250 --> 01:59:49,041
And I'm sorry, like you're not going to

1892
01:59:49,041 --> 01:59:50,375
have maybe in the future, you're going to

1893
01:59:50,375 --> 01:59:51,083
have these tools where you

1894
01:59:51,083 --> 01:59:52,458
can just do shitty prompts.

1895
01:59:52,708 --> 01:59:53,958
But we've seen it with two and a half

1896
01:59:53,958 --> 01:59:56,500
years of AI, like shitty prompts and

1897
01:59:56,500 --> 01:59:58,375
shitty process will get

1898
01:59:58,375 --> 01:59:59,875
you very limited results.

1899
02:00:00,166 --> 02:00:01,875
And sure, if you if you want to just be

1900
02:00:01,875 --> 02:00:05,000
completely lazy, I think, you know, that

1901
02:00:05,000 --> 02:00:07,250
there is a benefit there that you still

1902
02:00:07,250 --> 02:00:08,125
need to have humans.

1903
02:00:08,375 --> 02:00:09,958
Like understanding things, because

1904
02:00:09,958 --> 02:00:11,416
otherwise, if everything was just

1905
02:00:11,416 --> 02:00:13,583
completely automated and we got good

1906
02:00:13,583 --> 02:00:15,500
results each and every time, there's no

1907
02:00:15,500 --> 02:00:16,500
need for you anymore.

1908
02:00:17,000 --> 02:00:18,583
So this is actually a benefit.

1909
02:00:18,583 --> 02:00:19,208
There's a blessing in

1910
02:00:19,208 --> 02:00:20,750
disguise, a silver lining to that.

1911
02:00:20,750 --> 02:00:21,708
So anyways, I digress.

1912
02:00:22,500 --> 02:00:23,166
No, no, it's good.

1913
02:00:23,166 --> 02:00:24,000
That is a hot list.

1914
02:00:24,958 --> 02:00:25,291
Well said.

1915
02:00:26,083 --> 02:00:26,958
So a couple of things.

1916
02:00:26,958 --> 02:00:28,416
Yeah, I could just example, like jumping

1917
02:00:28,416 --> 02:00:30,416
in, I just put in this and this does

1918
02:00:30,416 --> 02:00:32,000
counter your argument in terms of the

1919
02:00:32,000 --> 02:00:32,958
simplicity of it, but I just

1920
02:00:32,958 --> 02:00:34,000
wanted to just demonstrate.

1921
02:00:34,000 --> 02:00:35,375
I was to this people how simple I just

1922
02:00:35,375 --> 02:00:36,875
said, build an app that allows me to have

1923
02:00:36,875 --> 02:00:38,125
a conversation with the

1924
02:00:38,166 --> 02:00:39,333
customer like that.

1925
02:00:39,333 --> 02:00:40,791
That's how simple my prompt is.

1926
02:00:40,791 --> 02:00:42,250
So you can imagine what the quality would

1927
02:00:42,250 --> 02:00:43,625
be like if I was prompting properly.

1928
02:00:43,833 --> 02:00:45,791
So we generated, you can see the code,

1929
02:00:45,791 --> 02:00:47,375
the start popping up on the right.

1930
02:00:47,541 --> 02:00:48,541
I can't see anything on your screen.

1931
02:00:49,125 --> 02:00:50,750
Oh, oh, sorry.

1932
02:00:50,750 --> 02:00:51,500
It's sharing window.

1933
02:00:51,500 --> 02:00:51,875
Is it?

1934
02:00:52,083 --> 02:00:52,416
Sorry.

1935
02:00:52,416 --> 02:00:52,875
Give me a sec.

1936
02:00:54,000 --> 02:00:55,875
Oh, is it because I'm in present mode?

1937
02:00:56,458 --> 02:00:57,083
Stop sharing.

1938
02:00:57,375 --> 02:00:57,791
Just yes.

1939
02:00:58,041 --> 02:00:58,375
Stop it.

1940
02:00:58,708 --> 02:00:59,416
I'll just re-share.

1941
02:01:00,458 --> 02:01:01,166
By the way, I've got

1942
02:01:01,166 --> 02:01:03,041
less than 10 minutes, man.

1943
02:01:03,250 --> 02:01:03,833
So yeah, cool.

1944
02:01:04,166 --> 02:01:04,583
I'll wrap this up.

1945
02:01:04,583 --> 02:01:06,291
I still need to share some stuff.

1946
02:01:06,916 --> 02:01:07,291
Oh, okay.

1947
02:01:07,291 --> 02:01:07,416
Cool.

1948
02:01:08,083 --> 02:01:09,166
So I'll quickly, this quick, I'll just

1949
02:01:09,166 --> 02:01:11,583
show you some examples that pops up here.

1950
02:01:11,583 --> 02:01:12,166
So this is me just

1951
02:01:12,166 --> 02:01:13,000
playing around with Bolt.

1952
02:01:13,000 --> 02:01:14,541
I put a really easy, simple prompt in

1953
02:01:14,541 --> 02:01:15,750
here, which was build an app that allow

1954
02:01:15,750 --> 02:01:16,500
me to have a conversation.

1955
02:01:16,750 --> 02:01:18,083
We've demoed some stuff like this before.

1956
02:01:18,083 --> 02:01:19,041
You see the code pop up.

1957
02:01:19,041 --> 02:01:20,875
You see a bunch of files that in terms of

1958
02:01:20,875 --> 02:01:22,083
the structure, which is what another

1959
02:01:22,083 --> 02:01:23,000
thing I love about Bolt.

1960
02:01:23,000 --> 02:01:24,208
It gives you the right structures in

1961
02:01:24,208 --> 02:01:25,583
terms of how you lay things out in a code

1962
02:01:25,583 --> 02:01:26,583
base, which makes it easier for

1963
02:01:26,583 --> 02:01:27,958
developers to come in later and fix

1964
02:01:27,958 --> 02:01:29,250
things up and then go

1965
02:01:29,250 --> 02:01:30,000
to preview and boom.

1966
02:01:30,000 --> 02:01:31,291
I've actually got a little chat tool here

1967
02:01:31,291 --> 02:01:32,708
that I can play around with.

1968
02:01:32,708 --> 02:01:34,083
I just say, hi, how are you?

1969
02:01:34,500 --> 02:01:35,166
And boom, it actually

1970
02:01:35,166 --> 02:01:35,958
gives me a response.

1971
02:01:36,000 --> 02:01:37,208
And if I would have prompted, I'd be able

1972
02:01:37,208 --> 02:01:38,000
to get better response

1973
02:01:38,000 --> 02:01:39,208
and implement mode keys.

1974
02:01:39,416 --> 02:01:40,125
So I have an AI tool

1975
02:01:40,125 --> 02:01:41,083
generate things in the back.

1976
02:01:41,500 --> 02:01:42,375
So that was really, really easy.

1977
02:01:42,625 --> 02:01:43,583
Same thing with chat GPT.

1978
02:01:43,916 --> 02:01:45,041
I had a similar query.

1979
02:01:45,291 --> 02:01:46,250
I said, start with a website.

1980
02:01:46,500 --> 02:01:48,041
I start with a chat tool.

1981
02:01:48,291 --> 02:01:49,333
Then I said, Hey, I want to build a

1982
02:01:49,333 --> 02:01:50,458
website at the same time.

1983
02:01:50,458 --> 02:01:51,416
That's going to be selling shoes.

1984
02:01:51,708 --> 02:01:52,541
And then can you put that

1985
02:01:52,541 --> 02:01:54,166
chat tool within the website?

1986
02:01:54,500 --> 02:01:55,791
Boom, generates the code.

1987
02:01:55,958 --> 02:01:57,500
Go to a preview mode again with canvas.

1988
02:01:57,625 --> 02:01:59,666
And now I have a very basic website with

1989
02:01:59,666 --> 02:02:01,291
two prompts and my little

1990
02:02:01,291 --> 02:02:02,708
chat tool at the bottom as well.

1991
02:02:02,791 --> 02:02:04,166
So you can play around with these

1992
02:02:04,166 --> 02:02:06,000
prototypes for generating ideas.

1993
02:02:06,250 --> 02:02:08,166
But as you can see, right in this

1994
02:02:08,166 --> 02:02:09,833
example, if I go stop and back to my

1995
02:02:09,833 --> 02:02:11,750
code, this has popped out in like almost

1996
02:02:11,750 --> 02:02:13,666
a single coded format with some, some

1997
02:02:13,666 --> 02:02:14,750
reference points in the back.

1998
02:02:15,000 --> 02:02:16,916
And that is like, it's not a good way to

1999
02:02:16,916 --> 02:02:17,750
be developing codes.

2000
02:02:17,750 --> 02:02:19,666
This is an example of where the future

2001
02:02:19,666 --> 02:02:21,958
state will, will mess you up, but it's

2002
02:02:21,958 --> 02:02:23,208
really great for that initial

2003
02:02:23,208 --> 02:02:25,416
prototyping, validating ideas, putting in

2004
02:02:25,416 --> 02:02:26,833
front of someone with some dummy data to

2005
02:02:26,833 --> 02:02:27,416
go, Hey, what do you

2006
02:02:27,416 --> 02:02:28,291
think of this concept?

2007
02:02:28,833 --> 02:02:29,166
Great.

2008
02:02:29,166 --> 02:02:29,791
This concept's work.

2009
02:02:29,791 --> 02:02:30,208
All right.

2010
02:02:30,208 --> 02:02:30,541
Awesome.

2011
02:02:30,750 --> 02:02:32,000
Let's jump into a tool that's going to

2012
02:02:32,000 --> 02:02:33,458
allow me to create something with a bit

2013
02:02:33,458 --> 02:02:34,958
more meaningful, real data and start

2014
02:02:34,958 --> 02:02:36,166
validating with real customers.

2015
02:02:37,041 --> 02:02:38,125
And that's the difference between that

2016
02:02:38,125 --> 02:02:39,916
sort of prototyping MVP step as well, but

2017
02:02:39,916 --> 02:02:41,458
also how these tools can benefit you.

2018
02:02:41,833 --> 02:02:42,333
So that was sort of

2019
02:02:42,333 --> 02:02:43,250
the fundamental thing.

2020
02:02:43,250 --> 02:02:43,875
And I'm happy that

2021
02:02:43,875 --> 02:02:44,833
people want to reach out.

2022
02:02:44,833 --> 02:02:46,500
I can share some of the broad context.

2023
02:02:46,500 --> 02:02:47,750
I may even put this as a downloadable

2024
02:02:47,750 --> 02:02:50,458
document for people, you know, just about

2025
02:02:50,458 --> 02:02:52,000
to jump through their own things and talk

2026
02:02:52,000 --> 02:02:54,166
about agents, talk about the caveats that

2027
02:02:54,166 --> 02:02:54,666
we've highlighted

2028
02:02:54,666 --> 02:02:55,708
throughout this chat today.

2029
02:02:55,708 --> 02:02:57,875
You know, direct code as well.

2030
02:02:57,875 --> 02:02:59,250
That's still going to be very relevant,

2031
02:02:59,250 --> 02:03:00,750
particularly for accuracy of documents

2032
02:03:00,750 --> 02:03:03,000
and other tools like chat, GBT, Leonardo

2033
02:03:03,000 --> 02:03:04,125
for content and image

2034
02:03:04,125 --> 02:03:05,583
generation, which I absolutely love.

2035
02:03:06,416 --> 02:03:08,000
And I won't go into detail on that now,

2036
02:03:08,875 --> 02:03:10,125
but thinking ahead, super important.

2037
02:03:10,500 --> 02:03:11,375
So yeah, that was the

2038
02:03:11,375 --> 02:03:12,875
fundamentals of that.

2039
02:03:13,708 --> 02:03:14,416
Hey, great stuff.

2040
02:03:14,416 --> 02:03:15,708
I think, you know, the, the other

2041
02:03:15,708 --> 02:03:18,041
highlight to, to, to note there is that

2042
02:03:18,041 --> 02:03:21,708
people, another big mistake, just not

2043
02:03:21,708 --> 02:03:22,916
realizing that you've got a limited

2044
02:03:22,916 --> 02:03:23,833
number of tokens, whether

2045
02:03:23,833 --> 02:03:25,000
it's lovable, whether it's bold,

2046
02:03:25,041 --> 02:03:26,625
whether it's like even some of these

2047
02:03:26,625 --> 02:03:27,916
other tools, there is a cost.

2048
02:03:28,458 --> 02:03:29,916
And for some of the tools, the cost is

2049
02:03:29,916 --> 02:03:31,875
they give you a capped amount of tokens

2050
02:03:31,875 --> 02:03:33,458
that you can use for the month and sure

2051
02:03:33,458 --> 02:03:35,583
you've got different packages, but being

2052
02:03:35,583 --> 02:03:37,583
efficient with your token usage, because

2053
02:03:37,583 --> 02:03:39,250
as you build this

2054
02:03:39,250 --> 02:03:40,458
thing, especially with Bolt,

2055
02:03:41,583 --> 02:03:43,125
every time you ask a question, it's going

2056
02:03:43,125 --> 02:03:44,666
to look into the whole code.

2057
02:03:44,666 --> 02:03:46,916
So if your code is now so many different

2058
02:03:46,916 --> 02:03:48,750
features, you will get warning messages

2059
02:03:48,750 --> 02:03:50,166
saying, this is like quite a large

2060
02:03:50,166 --> 02:03:51,833
project that you sure you

2061
02:03:51,833 --> 02:03:52,750
want to run this prompt.

2062
02:03:52,791 --> 02:03:55,500
And what people often need to do is break

2063
02:03:55,500 --> 02:03:57,416
down the code, even just like what's on

2064
02:03:57,416 --> 02:03:59,875
the page into different component parts,

2065
02:03:59,875 --> 02:04:02,208
because as soon as it gets like 700, 800

2066
02:04:02,208 --> 02:04:04,500
lines of code, you've already got too

2067
02:04:04,500 --> 02:04:06,291
much on the page and you need to break it

2068
02:04:06,291 --> 02:04:08,666
down into components, because sometimes

2069
02:04:08,666 --> 02:04:10,333
Bolt will just try to write everything

2070
02:04:10,333 --> 02:04:13,041
from scratch, rather than just make a

2071
02:04:13,041 --> 02:04:14,333
diff change, like

2072
02:04:14,333 --> 02:04:15,375
that's still being worked on.

2073
02:04:15,416 --> 02:04:17,375
But separate to that, some people just

2074
02:04:17,375 --> 02:04:18,958
have everything in the one app.

2075
02:04:19,291 --> 02:04:20,125
And if you've got something super

2076
02:04:20,125 --> 02:04:23,000
complicated, learning that actually I can

2077
02:04:23,000 --> 02:04:26,875
have a copy of that Bolt project and have

2078
02:04:26,875 --> 02:04:28,375
this part of the project

2079
02:04:28,375 --> 02:04:30,083
actually just do one thing.

2080
02:04:30,083 --> 02:04:31,875
It's just going to do the AI chat, having

2081
02:04:31,875 --> 02:04:33,166
another part of the project, just

2082
02:04:33,166 --> 02:04:35,500
handling videos and educational materials

2083
02:04:35,500 --> 02:04:37,791
and having them as separate pieces and

2084
02:04:37,791 --> 02:04:41,291
knowing how to do subdomains and manage

2085
02:04:41,291 --> 02:04:42,708
things in your

2086
02:04:42,708 --> 02:04:44,000
domain, you know, provider,

2087
02:04:44,333 --> 02:04:46,708
whether it's Netlify or something else to

2088
02:04:46,708 --> 02:04:49,000
just string them all together. There's

2089
02:04:49,000 --> 02:04:51,291
also that learning and being able to be

2090
02:04:51,291 --> 02:04:52,708
efficient, because otherwise you'll churn

2091
02:04:52,708 --> 02:04:55,166
through millions of tokens that Bolt has.

2092
02:04:55,541 --> 02:04:57,416
And there's like, you know, 30 bucks or

2093
02:04:57,416 --> 02:04:59,166
whatever it is that you've just used up

2094
02:04:59,166 --> 02:05:01,125
in one day, and you haven't gotten

2095
02:05:01,125 --> 02:05:03,083
anywhere. So there's all this kind of

2096
02:05:03,083 --> 02:05:05,000
thinking. So people want to learn how to

2097
02:05:05,000 --> 02:05:06,333
use those tools to build stuff.

2098
02:05:07,000 --> 02:05:08,166
We can certainly help. And I've got to

2099
02:05:08,166 --> 02:05:10,041
like wrap up here pretty quick, Chris. So

2100
02:05:10,041 --> 02:05:11,083
let me just get to a few

2101
02:05:11,083 --> 02:05:12,583
things because I am jumping in.

2102
02:05:12,750 --> 02:05:12,958
Yeah, I'm going to be

2103
02:05:12,958 --> 02:05:13,500
on the main left side.

2104
02:05:15,166 --> 02:05:17,083
All right, so just one of the highlight

2105
02:05:17,083 --> 02:05:21,041
folks that yeah, we did show ETF tracker

2106
02:05:21,041 --> 02:05:24,208
a few, you know, episodes ago, back in

2107
02:05:24,208 --> 02:05:25,708
December, it was built, it's

2108
02:05:25,708 --> 02:05:28,041
got like 807 users of the tool.

2109
02:05:28,291 --> 02:05:30,416
Now you can get all of these visuals as

2110
02:05:30,416 --> 02:05:32,041
to what's going on in the ETF markets,

2111
02:05:32,250 --> 02:05:34,000
new updates coming out each month.

2112
02:05:34,833 --> 02:05:36,583
You can take a look at your holdings data

2113
02:05:36,583 --> 02:05:38,416
and compare and contrast that. I'm doing

2114
02:05:38,416 --> 02:05:40,000
the same with superannuation data now.

2115
02:05:40,291 --> 02:05:43,250
So here, for example, is the average

2116
02:05:43,250 --> 02:05:45,833
returns of the Australian superannuation

2117
02:05:45,833 --> 02:05:47,583
market quarterly. So you can see it was

2118
02:05:47,583 --> 02:05:50,375
like 1.84% back in

2119
02:05:50,375 --> 02:05:51,708
this was December 2024.

2120
02:05:52,250 --> 02:05:53,583
What fund are you with, Chris?

2121
02:05:53,958 --> 02:05:55,500
Do you, who do you?

2122
02:05:56,125 --> 02:05:58,208
Australian Super? Okay, let's let's have

2123
02:05:58,208 --> 02:06:00,916
a look at Australian Super. So they're a

2124
02:06:00,916 --> 02:06:02,500
little bit further down here. So the

2125
02:06:02,500 --> 02:06:04,625
biggest fund that's out there and after

2126
02:06:04,625 --> 02:06:06,041
that, it's Australian Retirement Trust.

2127
02:06:07,000 --> 02:06:09,416
Average returns of 1.9%. So pretty much

2128
02:06:09,416 --> 02:06:11,125
in line with the industry. And then

2129
02:06:11,125 --> 02:06:13,250
there's like further details down here,

2130
02:06:13,250 --> 02:06:15,000
like whether it's a choice product or my

2131
02:06:15,000 --> 02:06:17,375
super, whatever is the default, you can

2132
02:06:17,375 --> 02:06:19,458
see that we can, you know, go further,

2133
02:06:19,458 --> 02:06:21,791
further down until we get to, okay, so

2134
02:06:21,791 --> 02:06:22,416
there's just the one

2135
02:06:22,416 --> 02:06:24,000
balance that's there.

2136
02:06:24,000 --> 02:06:25,250
Then there's all this other data that

2137
02:06:25,250 --> 02:06:27,916
APRA comes out with. And so I'm just

2138
02:06:27,916 --> 02:06:29,791
pulling that information together. So

2139
02:06:29,791 --> 02:06:31,916
here, for example, is like the total

2140
02:06:31,916 --> 02:06:33,958
number of the total

2141
02:06:33,958 --> 02:06:35,041
benefits that we have.

2142
02:06:35,083 --> 02:06:37,750
So this is taking into account not SMSFs

2143
02:06:37,750 --> 02:06:40,500
and some other stuff, but like $2.7

2144
02:06:40,500 --> 02:06:44,000
trillion worth of superannuation funds.

2145
02:06:44,583 --> 02:06:46,000
Australia is the fourth biggest in the

2146
02:06:46,000 --> 02:06:47,791
world. But I'm showing all of this

2147
02:06:47,791 --> 02:06:50,375
because, and there's 22 million accounts,

2148
02:06:50,375 --> 02:06:52,250
there's like what, 29, 28

2149
02:06:52,250 --> 02:06:53,250
million people in Australia.

2150
02:06:53,625 --> 02:06:55,958
So the majority have superannuation as

2151
02:06:55,958 --> 02:06:56,916
soon as you start working.

2152
02:06:56,916 --> 02:06:58,708
But I'm showing this because I built this

2153
02:06:58,708 --> 02:07:01,666
using AI tools and will continue to build

2154
02:07:01,666 --> 02:07:03,416
it out and make this kind of stuff

2155
02:07:03,416 --> 02:07:05,500
available for people, adding in things

2156
02:07:05,500 --> 02:07:08,458
like Superbase login, adding in Stripe,

2157
02:07:08,750 --> 02:07:09,916
adding in like all these other features

2158
02:07:09,916 --> 02:07:10,791
that you can just now

2159
02:07:10,791 --> 02:07:13,000
easily do versus six months ago.

2160
02:07:13,375 --> 02:07:15,958
So, you know, take note of that, that

2161
02:07:15,958 --> 02:07:17,791
that's coming. And then finally, a

2162
02:07:17,791 --> 02:07:19,708
competition, get your creative writing

2163
02:07:19,708 --> 02:07:21,916
hat on, Chris, because this is like, for

2164
02:07:21,916 --> 02:07:23,500
both blockchain and AI.

2165
02:07:24,458 --> 02:07:27,041
The idea is that people could win a

2166
02:07:27,041 --> 02:07:29,208
prize. This is the world's richest short

2167
02:07:29,208 --> 02:07:31,666
story competition. I think it runs until

2168
02:07:31,666 --> 02:07:32,875
September or so, but

2169
02:07:32,875 --> 02:07:36,375
potentially $200,000 worth of prizes.

2170
02:07:36,916 --> 02:07:39,750
One of the prizes is a Bitcoin. One

2171
02:07:39,750 --> 02:07:40,500
Bitcoin, which is

2172
02:07:40,500 --> 02:07:42,666
currently just over 100,000 US.

2173
02:07:42,958 --> 02:07:44,333
Like $100,000. Yeah.

2174
02:07:44,875 --> 02:07:46,916
Or like $150,000, whatever it is,

2175
02:07:46,916 --> 02:07:49,291
Australian. You've got to hear details

2176
02:07:49,291 --> 02:07:51,208
about the word count. So short story,

2177
02:07:51,208 --> 02:07:54,500
1,500 words has to be set about something

2178
02:07:54,500 --> 02:07:55,875
in the future, near or

2179
02:07:55,875 --> 02:07:57,666
far. All genres welcome.

2180
02:07:57,666 --> 02:08:01,875
Here's the dates. They open, they close

2181
02:08:01,875 --> 02:08:04,500
30 September, the short, the long list

2182
02:08:04,500 --> 02:08:06,833
and then short list in November. Win is

2183
02:08:06,833 --> 02:08:07,958
announced at the end of the year.

2184
02:08:08,208 --> 02:08:10,041
So get cracking. And in terms of the

2185
02:08:10,041 --> 02:08:11,458
fees, it's interesting because if you

2186
02:08:11,458 --> 02:08:12,416
apply early enough,

2187
02:08:12,416 --> 02:08:13,416
you've got a lower fee.

2188
02:08:14,291 --> 02:08:16,208
It does get higher, but not too much, up

2189
02:08:16,208 --> 02:08:17,833
to 15 bucks if you do

2190
02:08:17,833 --> 02:08:18,916
it just by the deadline.

2191
02:08:18,958 --> 02:08:21,125
But, you know, especially if you think

2192
02:08:21,125 --> 02:08:23,708
about AI and blockchain and other kind of

2193
02:08:23,708 --> 02:08:25,208
features or whatever it is, just don't

2194
02:08:25,208 --> 02:08:27,291
add whatever, dystopia or not.

2195
02:08:28,166 --> 02:08:29,791
Get your writing hats on because this is

2196
02:08:29,791 --> 02:08:32,666
worth entering and Fableration is the

2197
02:08:32,666 --> 02:08:33,791
company behind this.

2198
02:08:33,791 --> 02:08:34,666
They support writers.

2199
02:08:35,625 --> 02:08:36,625
They're doing some really interesting

2200
02:08:36,625 --> 02:08:38,541
stuff with emerging tech and the writing

2201
02:08:38,541 --> 02:08:40,791
industry and supporters of the Australian

2202
02:08:40,791 --> 02:08:43,125
DeFi Association. So that's it for me.

2203
02:08:45,041 --> 02:08:47,250
Beautiful. That's an interesting one.

2204
02:08:47,250 --> 02:08:48,416
It's always allows for

2205
02:08:48,416 --> 02:08:49,458
the use of AI as well.

2206
02:08:50,000 --> 02:08:51,125
Yeah. Yeah.

2207
02:08:51,541 --> 02:08:53,750
There you go.

2208
02:08:53,958 --> 02:08:56,333
Nice one, man. That was really good.

2209
02:08:56,666 --> 02:08:58,500
Great episode. Lots of good data, lots of

2210
02:08:58,500 --> 02:09:00,000
good stats, lots of interesting new

2211
02:09:00,000 --> 02:09:00,875
releases and the updates.

2212
02:09:01,583 --> 02:09:02,125
Thank you everyone for

2213
02:09:02,125 --> 02:09:04,250
listening and hope to hear next time.

2214
02:09:04,583 --> 02:09:06,166
We'll see you next time, folks. Ciao.