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Speaker 1: Welcome to the mentor.

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Speaker 2: I'm Mark Boris.

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Speaker 1: Can I get some quick sort of quick hits from you?

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Speaker 2: So from our small business community listens to us a

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Speaker 2: small business audience, maybe some tips as to what small

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Speaker 2: business owners in terms of marketing should not do.

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Speaker 1: You know, what's something they shouldn't do?

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Speaker 2: And you've maybe you've seen this happen, but there's some

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Speaker 2: tips says to what they should not do.

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Speaker 3: Yeah, I think most entrepreneurs are naturally reactive. They're always

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Speaker 3: switched on, They're always thinking. They see something, it gives

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Speaker 3: them idea, They text, they pivot, they change. So that

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Speaker 3: tenacity and I guess competitiveness and reactiveness is a good thing,

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Speaker 3: but it can also get you in a knot. So

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Speaker 3: I think, as I said before, it's about having that

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Speaker 3: fundamental strategy. And if it's a one pager on who's

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Speaker 3: my audience, how do they think?

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Speaker 1: How do they buy?

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Speaker 3: Here's our messages and you have that cheat sheet, put

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Speaker 3: it on your bed, put it on your desk, put

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Speaker 3: it in your actually just referencing that before you go

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Speaker 3: and make that snap decision and go. Does this comply

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Speaker 3: with how people are thinking of what we're doing?

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Speaker 1: Yes?

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Speaker 4: Do it?

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Speaker 3: Because Otherwise you'll be waking up every single day and

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Speaker 3: you'll see this social media trend or you'll see this,

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Speaker 3: or you'll hear someone saying be on radio, or change this,

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Speaker 3: or move your manufacturing to China, and you'll you'll try

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Speaker 3: and do it all. So I think have that north star.

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Speaker 1: And alignment piece and as your guideline, as your guideline.

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Speaker 2: So because entrepreneurs by usually by definition, tend to get

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Speaker 2: distracted easily. Yeah, and they hear something's gone really well,

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Speaker 2: or should I be doing that? Yeah, I mean you

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Speaker 2: just have something you've experienced with people. They're sort of

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Speaker 2: bouncering a lot.

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Speaker 3: Absolutely, and I think it's actually quite interesting. We started

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Speaker 3: working with small businesses who have their own money, and

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Speaker 3: now we've sort of worked our way up into large

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Speaker 3: enterprise because when you are dealing with the customer and

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Speaker 3: it's actually their money, the Yeah, it's far more I

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Speaker 3: guess reactive, and there is there is pressure, so again

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Speaker 3: you have to be far more reactive. So yeah, naturally

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Speaker 3: entrepreneurs are active, which is as a pro and a con.

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Speaker 1: That's your point too.

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Speaker 2: Before that you're making earlier too, because big organizations go

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Speaker 2: strategic and they roll it out small owners, small smaller

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Speaker 2: business owners spending their own money and they get influences

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Speaker 2: you need buy something else and then become tactical and

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Speaker 2: you forget about the strategy. And I think one of

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Speaker 2: the big takeaways from this discussion from a big organization

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Speaker 2: looks after your organization, looks after big clients, is that

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Speaker 2: no matter who you are, build a strategy yes day one,

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Speaker 2: and try and stick to it at least as you say,

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Speaker 2: it's your north star.

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Speaker 1: Try not to move way too much from it.

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Speaker 2: Is there something that you've seen You know, obviously you've

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Speaker 2: seen some good smaller businesses, good entrepreneurs. I mean it

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Speaker 2: was a great example that they kicked off as a

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Speaker 2: small business in Australia effectively now is a huge business.

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Speaker 2: Are there some things that you would tell small business

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Speaker 2: owners our audience that have worked and turned small businesses

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Speaker 2: into big businesses, apart from being strategic and sticking to

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Speaker 2: the strategy, mean, are there are there some sort of

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Speaker 2: guidelines you could sort of leave us with what's worked

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Speaker 2: for some of your now bigger clients. Who wants for

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Speaker 2: small clients? And by the way, everybody, everybody at some

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Speaker 2: stage or other was a small business. They all start

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Speaker 2: off a small business. General Electric was invented by Thomas

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Speaker 2: Edison in eighteen fifty six and he invented a light

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Speaker 2: bulb and he turned it into a company called General Electric.

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Speaker 2: Now it's one of the biggest companies of the world, but.

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Speaker 1: It started off as a small business. Every business starts

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Speaker 1: that way.

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Speaker 2: Whober included CBA, Commic Bank, Westpac, whoever you want to

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Speaker 2: talk about. What have you seen that makes that? Is

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Speaker 2: there a one or two consistent things that seems to

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Speaker 2: be president of every small business that becomes a successful,

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Speaker 2: bigger business.

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Speaker 3: For me, at the beginning, it's all about revenue. How

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Speaker 3: do you make that phone ring? How do you make

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Speaker 3: that till ring? And that's where your focus should be.

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Speaker 3: We get very obsessed when we're business owners around our

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Speaker 3: brand and our logo and our colors and making sure

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Speaker 3: everything's perfect. The focus should be on what makes the

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Speaker 3: phone ring, ensuring I look after my people, and so

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Speaker 3: for me, small business lead generation, sales generation, and those

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Speaker 3: tactics need to be your fundamental that you get right

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Speaker 3: and then work out the sexy stuff after that.

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Speaker 2: And are there any particular right now, Are there any

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Speaker 2: particular platforms mediums that are working better than others, I

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Speaker 2: mean other outstanding mediums.

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Speaker 3: Yeah, look at it. Obviously depends on the business and

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Speaker 3: where you need to be. I think, let's say retail retail,

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Speaker 3: I think or the issue that online digital retail you

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Speaker 3: should be. You know, your Google Search, Google Shop, and

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Speaker 3: then obviously your performance platforms like Meta and TikTok in

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Speaker 3: terms of performance ads and by performance ads.

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Speaker 1: I mean, what's that mean. I don't know what that means.

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Speaker 3: Yeah, it's a good question. So you've got your grid

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Speaker 3: that you post on, which is for your community for you,

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Speaker 3: however many thousand followers, and you go on there. But

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Speaker 3: then it's your dark ads, which run through a targeted

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Speaker 3: platform where you can go and punch in who you

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Speaker 3: want to find. Let's say I was trying to sell

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Speaker 3: the hyperbaric chambers. I say high net worth, active blah

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Speaker 3: blah blah blah blah, And I get an ad and

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Speaker 3: I post up that single ad, and I say send

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Speaker 3: it to those people. So they're not necessarily a follower,

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Speaker 3: but Facebook, Meta, Instagram knows who they are and it

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Speaker 3: will put those ads in their feed. That is the

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Speaker 3: quickest way to get straight to exactly who you need

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Speaker 3: to and it's the most targeted, potent search criteria that

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Speaker 3: there is out.

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Speaker 1: There that's interesting. And you call it dark as I

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Speaker 1: love that name.

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Speaker 2: We've never actually gone out looking for anybody on now

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Speaker 2: because we're just a broadcaster.

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Speaker 1: But we don't have a product.

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Speaker 2: But what you're saying to me is that I can

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Speaker 2: do whatever I want on my stories and I can

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Speaker 2: put it every one on my grid on Instagram for

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Speaker 2: argument's sake. But if we had a product that we

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Speaker 2: wanted to sell, then we'd be doing this so called.

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Speaker 1: We would profile the person.

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Speaker 2: Who I have now as a result of talking to

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Speaker 2: have researched, and that's my buyer. I would profile them

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Speaker 2: off to whoever it is Instagram or something all meta,

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Speaker 2: and then I'll pay fee and they'll find those people correct,

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Speaker 2: and then they will send it. Then will develop the

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Speaker 2: message ye, and then or might come to you and

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Speaker 2: you will develop the message for me, and then we'll

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Speaker 2: hit them.

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Speaker 3: We'll hit them, and you can even go as far

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Speaker 3: as putting your objective in there around do I want

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Speaker 3: them to watch the video or do I want to

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Speaker 3: send them to my website?

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Speaker 1: It just met it does. Do the platforms ask you

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Speaker 1: do they prompt.

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Speaker 3: You basically take you through a survey or a questionnaire

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Speaker 3: where you say, who's the person, what do you want

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Speaker 3: them to do? It's very intuitive and I think, you know,

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Speaker 3: most people can go through this platform themselves and build

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Speaker 3: something out and.

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Speaker 1: I can't go.

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Speaker 2: I can't let you go without asking one quick question.

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Speaker 2: Should I using chat you to write mads for me

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Speaker 2: as both to coming to you?

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Speaker 3: Ah, it's a funny one.

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Speaker 1: But you're not looking. You don't laugh at that hard.

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Speaker 3: Yeah, yeah, it's interesting.

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Speaker 1: It's coming to talk to me about it? How do

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Speaker 1: you guys use it? How will you use it?

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Speaker 3: It's funny because we actually say that, you know, chat

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Speaker 3: GPT is amazing as a baseline and you can get

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Speaker 3: a lot of ideas from it, but we also have

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Speaker 3: a rule in our agency that we don't want to

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Speaker 3: be spitting out things that everyone else has access to.

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Speaker 1: Which CHATJP do will do?

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Speaker 3: Which which it will do?

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Speaker 1: Is it tastes one common denominator? It grab grabs everything.

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Speaker 3: It's like a mass internet search and or can put

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Speaker 3: pull a lot together and spit out an answer. So

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Speaker 3: we say we run that process and say, well, we

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Speaker 3: don't use anything that comes up on that list because

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Speaker 3: it's too generic. So for us in that sort of

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Speaker 3: you know, top tier, we say, well that's our don't

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Speaker 3: do list. But I guess for smaller, medium sized business,

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Speaker 3: it's the power of that thing is phenomenal in terms

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Speaker 3: of and even that research we spoke about before, of

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Speaker 3: understanding my audience, how do they think?

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Speaker 1: Where do they buy?

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Speaker 3: You could ask chat GPT those questions and it could

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Speaker 3: be your strategist for you.

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Speaker 2: So because someone might have already published something about exactly

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Speaker 2: that topic and chat GP you'll go and find it somewhere.

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Speaker 3: It'll go to the the dark depths and pull everything

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Speaker 3: that's relevant together and give you a you know, a

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Speaker 3: one page cheat sheet on.

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Speaker 1: What you should do. It's not a bad starter. It's

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Speaker 1: a great starter.

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Speaker 2: It's funny, you know, because the US not that long ago,

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Speaker 2: about any months I thought I'd try it, and I

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Speaker 2: know I was making a speech and I asked, I

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Speaker 2: had already written spear to be to write to miss

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Speaker 2: speech said give me my coming. How many words was

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Speaker 2: this my audience has gone talking about blah blah, And

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Speaker 2: it gave me It was not bad like it was

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Speaker 2: as you said.

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Speaker 1: It was very generic. It wasn't It wasn't what I

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Speaker 1: wanted to deliver.

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Speaker 2: It didn't have enough personal stuff in there, my story stuff.

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Speaker 2: But it wouldn't have known about my story stuff because

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Speaker 2: I not published my story stuff, so it's not going

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Speaker 2: to pick up my stuff. But it was actually not

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Speaker 2: a bad yardstick meat for me to look at in

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Speaker 2: terms of what other people have talked about. It was

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Speaker 2: about leadership or something like that, and it wasn't a

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Speaker 2: bad yards to go on based on what you know,

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Speaker 2: John F. Kennedy might have said about leadership. You know,

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Speaker 2: it drags that sort of stuff in for you. It

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Speaker 2: gives you a few little nice markers and says to me,

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Speaker 2: in relation to the speech i'd written, I'm on the

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Speaker 2: right track. It wasn't what I was going to say,

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Speaker 2: but I'm on the right track. It gives you a

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Speaker 2: bit of confidence if you're you know, like not that

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Speaker 2: I'm not someone who's sort of lacking in confidence, but

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Speaker 2: other people are starting off business and they sort of

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Speaker 2: go through the exosse your time talking about and you know,

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Speaker 2: and they've done all the research and they've worked out

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Speaker 2: the researching says this is what the message was saying.

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Speaker 2: Is perhaps the language the message should be put into

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Speaker 2: and these are the platforms are going to go to.

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Speaker 2: You've done your work, Yeah, try it out, give it

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Speaker 2: a crack and see if there's any variability between what

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Speaker 2: you've come up with and what someone else has already

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Speaker 2: probably said problems. Chat to Journey goes to twenty twenty one.

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Speaker 2: It doesn't go beyond that, but doesn't matter. You're going

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Speaker 2: to get a bit of a guideline.

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Speaker 3: Yeah, correct, And I think you know there's a lot

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Speaker 3: of I guess when it's starting business. I guess you

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Speaker 3: know blind spots. You know I know how to make X,

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Speaker 3: and you know I don't know how to do the

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Speaker 3: financials or even the marketing. I think it can give

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Speaker 3: you a really nice I guess entry point into some

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Speaker 3: of these worlds. And yeah, writing ads and writing copy

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Speaker 3: for social posts certainly in an area it can help

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Speaker 3: you with.

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Speaker 4: For sure.

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Speaker 5: I say AI won't take your jobs, But the people

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Speaker 5: who aren't prepared to lean into AI.

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Speaker 1: Are in trouble, which means what it means.

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Speaker 4: They're the ones that are going to know their jobs.

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Speaker 5: They need to they need to upscale, they need to

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Speaker 5: at least get their head around what's going on at

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Speaker 5: the moment. Interesting you talk about healthcare. I was just

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Speaker 5: saying to Sammy before I came in that it launched

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Speaker 5: a couple of years ago, but it went actually live

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Speaker 5: last week in China. There's now an AI hospital can

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Speaker 5: treat ten thousand patients a day. Wow, was developed by

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Speaker 5: one of the universities over there, and it is all

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Speaker 5: AI driven AI doctors, AI nurses, AI ad men, ten

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Speaker 5: thousand patients a day.

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Speaker 2: Yeah, it's funny you should say, because I was only

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Speaker 2: thinking a few days ago and actually again this morning

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Speaker 2: about mortgage breaking industry, which I mean, I'm a big

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Speaker 2: mortge business, and I can see it sort of being

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Speaker 2: AI driven at some stage and then AI you know,

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Speaker 2: you might want a mortgage. You might be buying the

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Speaker 2: house you just sold and they need to borrow some money,

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Speaker 2: and you could go into whatever the protocol ischalrod AI

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Speaker 2: and that's your marks broker.

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Speaker 5: I'm already working with a few brokers to do something

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Speaker 5: similar agents because they've we've identified that different segments within

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Speaker 5: the market may not necessarily want yeah exactly, or they

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Speaker 5: want to get to a certain point before they go okay, well,

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Speaker 5: now I want to engage mark and have a proper conversation.

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Speaker 5: But maybe they're shift workers, maybe they're you know, for

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Speaker 5: whatever reason, they want to do their due diligence unto

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Speaker 5: a point. So we've been developing protocols for these people

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Speaker 5: where yeah, you can just jump on and have a chat,

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Speaker 5: but not just a type chat, like you can have

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Speaker 5: a virtual conversation. So we're developing video AI like video

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Speaker 5: avatars and voice avatars that are multi.

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Speaker 4: Lingual, you know. So it gets over that that.

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Speaker 1: Issue of that's not hard TRAI to do that. It's

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Speaker 1: really easy exactly.

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Speaker 5: It just comes down to and this is what I

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Speaker 5: say to people now, like it's only limited by your imagination.

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Speaker 5: So if you are concerned that AI could take your job,

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Speaker 5: do something about it, Like start to look into Okay,

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Speaker 5: well what don't I like about the job that I do?

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Speaker 5: Now that I can outsource to AI, that's going to

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Speaker 5: allow my skill set that I am really good at

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Speaker 5: to be of more value to the organization or to

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Speaker 5: my clients.

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Speaker 1: That's very interesting.

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Speaker 2: What are the things would you, apart from buying a book,

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Speaker 2: would you offer as tips to business owners in relation

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Speaker 2: to where artificial intelligence belongs in their business? For example,

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Speaker 2: at the coffee shop next door.

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Speaker 4: You've just got to start having a play.

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Speaker 5: So really, if you know, just open AI Chat, GPT,

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Speaker 5: Microsoft co Pilot, whatever your choice is. Just start having

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Speaker 5: a play. And often it's about playing it's something in

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Speaker 5: your personal life as opposed to a business. So as

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Speaker 5: an example, a couple of grand babies. So we write

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Speaker 5: them Christmas book every year. So we just kind of

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Speaker 5: put in the stuff that they've done through the year,

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Speaker 5: and we let the system write a Christmas book and

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Speaker 5: we put some photos to it.

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Speaker 1: So you instructed.

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Speaker 5: So THEO and Charlie, they're this age, they do this.

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Speaker 5: They like going here, they hang out with mom and dad,

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Speaker 5: you know, all that.

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Speaker 4: Kind of stuff.

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Speaker 5: It writes a book, we put some pictures to it,

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Speaker 5: and you get a printed create. Yeah, we create a

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Speaker 5: scavenger hunt. You know, we write the Christmas menu. So

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Speaker 5: write grandma her a poem for her birthday.

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Speaker 4: So just start having.

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Speaker 5: A play with it in a way that is non

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Speaker 5: threatening or feels like it's not going to have an

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Speaker 5: impact if it goes wrong. Right, And often people, particularly

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Speaker 5: if their business owners, go oh, I can't do this yet,

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Speaker 5: because what if it goes pair shaped? Okay, we'll play

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Speaker 5: with something in your personal life that is non threat

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Speaker 5: and then once you go, oh, okay, it's actually pretty

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Speaker 5: good at that, Well, then what could that look like

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Speaker 5: if you started using that in your business.

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Speaker 1: It's interesting because I do that.

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Speaker 2: That's sort of where I started to and I started

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Speaker 2: asking questions about I talked about politics at one stage

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Speaker 2: because it was we just had some election. I started

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Speaker 2: talking about health, and then then I started to open

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Speaker 2: up a little bit and like just gradually doing things

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Speaker 2: to try and try and beat the system sort of thing,

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Speaker 2: if you know what I mean. Just I want to

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Speaker 2: see how people see how can I sort of get

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Speaker 2: under its skin or can I do? I know more

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Speaker 2: about the topic than it knows. It's funny, you know.

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Speaker 2: I asked one question about I said, well, well you

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Speaker 2: just the answer you just gave me.

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Speaker 1: Is there any.

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Speaker 2: Scholarly articles on this? And I knew two scholarly articles

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Speaker 2: on it, and they only gave me one of them.

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Speaker 2: And I then went said, what about Is there a

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Speaker 2: schol another scholar the article on this, like like more

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Speaker 2: of an abstract, like a PhD s type thing. And

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Speaker 2: I said no, but I knew there was because I've

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Speaker 2: got it. I've seen it, I've read it.

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Speaker 1: And is that an example of hallucination.

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Speaker 5: Yeah, or it may not have picked up that information yet,

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Speaker 5: depending on how how recent.

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Speaker 1: That abstract result you had.

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Speaker 4: Okay, then it's five years old.

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Speaker 5: Yeah, then it's it's just trying to pull one over you.

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Speaker 1: It does happen to get lazy.

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Speaker 5: You mean again, I think when it's doing the update

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Speaker 5: for the new system, like I've had to. And it's

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Speaker 5: interesting that we noticed this. But if you type in all.

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Speaker 1: Caps, if you when you're putting in so.

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Speaker 5: If you type in all caps, that's considered yelling, right,

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Speaker 5: not really, Yeah, So if you send it someone a

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Speaker 5: text message in all caps or an email in all caps,

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Speaker 5: that's considered that you're yelling at aggressive.

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Speaker 4: So if you type in.

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Speaker 5: All caps, I thinks you're being aggressive, and it will

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Speaker 5: give you a better response. Really, Now, do it over

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Speaker 5: and over again, and it will start to get pete

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Speaker 5: off with you and it will go the other way.

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Speaker 4: No, no, no, and they.

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Speaker 1: So that's great, justn emotion.

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Speaker 5: But the thing that concerns me is the architects behind

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Speaker 5: these systems don't know why it does that. So it's

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Speaker 5: one thing to kind of go, oh, that's kind of cool,

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Speaker 5: like the other one we know, on average, and this

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Speaker 5: is a rough average, if you say please and thank

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Speaker 5: you when you interact and you're polite, you will get

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Speaker 5: on average about a forty percent better result.

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Speaker 4: No, but they don't know why.

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Speaker 1: That's freaking me out right.

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Speaker 4: So they're the things that I kind of go, hey,

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Speaker 4: that's really cool. But the thing that freaks me out

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Speaker 4: is but they don't know why.

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Speaker 5: They can't kind of go oh, it's because it is

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Speaker 5: learning emotion or it is doing that.

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Speaker 4: They don't know. That's the bit that I kind of go.

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Speaker 5: So always, so please and thank you, Mark, because if

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Speaker 5: the terminator does arrive, at least it will look at

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Speaker 5: you and go, oh, he was one of the nice ones.

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Speaker 2: At least I may not believe or disbelieve, but at

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Speaker 2: least I say a prayer and just in case there

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Speaker 2: really is a guy up there waiting for me when

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Speaker 2: I or a girl waiting for me.

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Speaker 1: Up for me up there when I do.

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Speaker 2: Kick the bucket. Just like an insurance policy exactly you're saying.

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Speaker 2: You're saying, insure yourself, and so we ensure ourselves anyway.

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Speaker 2: That's a normal thing in business and in life. We

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Speaker 2: take out insurances all the time. And that makes sense.

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Speaker 2: And as long as there's all sorts of stories, Now

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Speaker 2: where's it going to end up?

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Speaker 4: Yeah?

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Speaker 5: Exactly so on insurances that and this is another one

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Speaker 5: of this is just my belief at the moment, I

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Speaker 5: have no again data to back this up. I can't

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Speaker 5: see that we will have professional indemnity insurance in the

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Speaker 5: next two years.

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Speaker 4: Why, well, think about it.

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Speaker 5: How it proved to me that that advice you gave

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Speaker 5: me was from market in chat chipp So that's why

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Speaker 5: would I ensure you for professional indemnity you insurer?

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Speaker 1: Yeah, because you're not sure proof to me.

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Speaker 5: That that was that was the human and not a

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Speaker 5: chatbot that's gone off. And given that piece of advice.

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Speaker 2: How popular now? Like because right now, right now, how

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Speaker 2: popular like in terms of popularity in terms of growth

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Speaker 2: is the AI protocols like you know, chatchip, etcetera. How

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Speaker 2: popular have they become?

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Speaker 6: Oh?

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Speaker 4: Crazy?

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Speaker 5: So when chat gipt released, man, any any person that

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Speaker 5: owns a business would have loved their their word of

404
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Speaker 5: mouth because they were the fastest growing organization. So they

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Speaker 5: hit the million within a couple of days or a

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Speaker 5: couple of hours, twelve hours or something. But now there's

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Speaker 5: like ten twenty million uses an hour an hour. Yeah,

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Speaker 5: so it's crazy, crazy numbers. So the issue that we

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Speaker 5: have currently, and you mentioned video earlier, it's the compute

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Speaker 5: power again, right, that's the problem now, is that to

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Speaker 5: make the next leap to AGI or this very specific

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Speaker 5: general intelligence where we move towards the singularity and the

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Speaker 5: ray curves wall stuff which probably needs wine or you know,

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Speaker 5: a bigger conversation to move towards that, we need more

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Speaker 5: computing power than we have currently.

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Speaker 4: Right.

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Speaker 5: But again I was saying to Sammy when we came in.

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Speaker 5: I was just talking to the guys that I was

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Speaker 5: with this morning and showing them a video. There's a

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Speaker 5: company in Melbourne that are developing silicon based computing so

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Speaker 5: off brain cells and skin cells. They're figuring out now

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Speaker 5: that they can you can grow a uptop and compute

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Speaker 5: wise far less energy to run them, but exponential growth

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Speaker 5: in a very very small space. So that I think

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Speaker 5: is the leap that needs to happen before we can

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Speaker 5: make the next really big tech leaves.

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Speaker 7: I was never one of these people who thought that

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Speaker 7: crypto was going to entirely debase a currency or entirely

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Speaker 7: take away from the financial system. But I thought it

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Speaker 7: would enhance it. So for me, I could just see

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Speaker 7: crypto could enhance the existing financial system. Very excited to bitcoin.

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Speaker 7: I think it's, you know, the new digital goal for

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Speaker 7: a whole number of reasons. So, yeah, I was on

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Speaker 7: the journey. I'd set up as well with my son.

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Speaker 7: He was a teenager and getting into tech himself, and

436
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Speaker 7: we set up a mining rig to mine bitcoin. So

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Speaker 7: I was starting to get the bug.

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Speaker 2: If you set up to mine the bitcoin that you did,

439
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Speaker 2: definitely have the bug. It's interesting you when we talk

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Speaker 2: about crypto, then we talk about bitcoin they're sort of interchangeable,

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Speaker 2: and then sometimes we talk about the way that cryptocurrencies,

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Speaker 2: as you said, there's stacks of them, different types, but

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Speaker 2: how they operate in terms of the programming and the

444
00:21:08,560 --> 00:21:13,800
Speaker 2: software and the coding they sit on, which is sort

445
00:21:13,800 --> 00:21:19,800
Speaker 2: of a distributed system. And I don't know whether most

446
00:21:19,800 --> 00:21:22,600
Speaker 2: of our listeners would really understand the difference between the two,

447
00:21:23,359 --> 00:21:26,240
Speaker 2: and maybe this would be a good opportunity to talk

448
00:21:26,240 --> 00:21:30,080
Speaker 2: to someone about We're just leaving the exchange aside for

449
00:21:30,119 --> 00:21:34,200
Speaker 2: a moment, just in terms of crypto, what is the

450
00:21:34,280 --> 00:21:39,000
Speaker 2: attraction Because you mentioned traditional banking sometimes referred to as

451
00:21:39,040 --> 00:21:45,000
Speaker 2: fiat fiat. But what's the difference between the way the

452
00:21:45,040 --> 00:21:49,879
Speaker 2: traditional banking system works in terms of systems electronic system

453
00:21:49,920 --> 00:21:53,400
Speaker 2: to talk about compared to say, the way for example,

454
00:21:53,480 --> 00:21:54,359
Speaker 2: bitcoin works.

455
00:21:55,200 --> 00:21:57,399
Speaker 7: Look, I've got a good example there mark that I

456
00:21:57,400 --> 00:21:59,679
Speaker 7: could use it. I think most people would have experienced.

457
00:21:59,760 --> 00:22:02,639
Speaker 7: And you talk about the Swift network, which is that

458
00:22:02,800 --> 00:22:05,920
Speaker 7: global network that's been around for thirty to forty years

459
00:22:06,240 --> 00:22:11,840
Speaker 7: of transferring money between countries between companies. There's about twelve

460
00:22:11,880 --> 00:22:16,919
Speaker 7: different steps involved to transfer money bit one thousand dollars

461
00:22:17,080 --> 00:22:20,800
Speaker 7: overseas or to another company or be it ten million dollars,

462
00:22:21,240 --> 00:22:24,480
Speaker 7: So about twelve steps, and it will take between two

463
00:22:24,560 --> 00:22:26,679
Speaker 7: to four days for that money to go through the

464
00:22:26,680 --> 00:22:29,840
Speaker 7: banking system. So there's twelve different intermediary steps and into.

465
00:22:29,720 --> 00:22:31,680
Speaker 2: Ceberties ten million bucks in the bank, and I want

466
00:22:31,680 --> 00:22:33,800
Speaker 2: to send it to my grandmar in India to buy

467
00:22:33,800 --> 00:22:38,040
Speaker 2: a block of lats, there's twelve steps, twelve steps.

468
00:22:37,800 --> 00:22:40,200
Speaker 7: Along the way take them to the aradditional banking. It'll

469
00:22:40,200 --> 00:22:44,240
Speaker 7: take three to four days and that will probably cost

470
00:22:44,280 --> 00:22:46,920
Speaker 7: you close to one thousand or fifteen hundred dollars to

471
00:22:46,960 --> 00:22:50,720
Speaker 7: do it right. Crypto the rails the blockchain that it

472
00:22:50,800 --> 00:22:53,280
Speaker 7: operates on, and it doesn't matter if it's bitcoin or

473
00:22:53,320 --> 00:22:55,600
Speaker 7: if it's a theoryum or XRP. So we all sitting

474
00:22:55,640 --> 00:22:58,560
Speaker 7: on block they're all sitting on a blockchain that is

475
00:22:58,640 --> 00:23:02,000
Speaker 7: more peer to peer means from one from you to

476
00:23:02,080 --> 00:23:05,800
Speaker 7: your grandma directly cuts out those twelve steps. It's two

477
00:23:05,800 --> 00:23:08,720
Speaker 7: steps one to two steps instead of twelve. So you

478
00:23:08,760 --> 00:23:11,520
Speaker 7: can imagine there's a lot of people and processes that

479
00:23:11,560 --> 00:23:12,920
Speaker 7: are a lot of money that gets cut out along

480
00:23:12,960 --> 00:23:17,280
Speaker 7: the way and done within seconds and done for a fraction.

481
00:23:16,960 --> 00:23:17,440
Speaker 1: Of a dollar.

482
00:23:18,560 --> 00:23:22,720
Speaker 7: That is really one of the biggest use cases of crypto.

483
00:23:23,640 --> 00:23:25,159
Speaker 7: Lots of others out there. But if I was to

484
00:23:25,200 --> 00:23:27,280
Speaker 7: try and explain to somebody, why would you be wanting

485
00:23:27,320 --> 00:23:29,919
Speaker 7: to look at the importance of blockchain and crypto, I

486
00:23:29,920 --> 00:23:31,400
Speaker 7: would say, just have a look at the way we're

487
00:23:31,480 --> 00:23:34,639
Speaker 7: sending money traditionally, and look at what is being done now.

488
00:23:35,200 --> 00:23:38,680
Speaker 7: Stable coins, which are a form of crypto which are

489
00:23:38,920 --> 00:23:41,880
Speaker 7: backed on a stable asset, the US dollar, the Australian dollar,

490
00:23:41,880 --> 00:23:46,720
Speaker 7: New Zealand dollar. Last year, the total global volume of

491
00:23:46,720 --> 00:23:49,479
Speaker 7: that or sorry value not volume, was greater than the

492
00:23:49,520 --> 00:23:52,760
Speaker 7: total value of transactions on MasterCard and Visa.

493
00:23:52,560 --> 00:23:53,240
Speaker 1: Card put together.

494
00:23:53,440 --> 00:23:57,640
Speaker 7: Wow, So it's here, it's here to stay, and in fact,

495
00:23:57,680 --> 00:24:01,400
Speaker 7: it's actually starting to really infiltrate the finance system. All

496
00:24:01,520 --> 00:24:05,159
Speaker 7: the big banks are using it in their trading desks.

497
00:24:05,960 --> 00:24:08,880
Speaker 7: They might be out there publicly saying, you know, retail,

498
00:24:08,920 --> 00:24:11,480
Speaker 7: we're not sure about this crypto. We want to try

499
00:24:11,480 --> 00:24:14,800
Speaker 7: and block things with crypto, but their own trading desks

500
00:24:15,000 --> 00:24:17,800
Speaker 7: are using it. And as I said, there's no hiding

501
00:24:17,800 --> 00:24:22,080
Speaker 7: the fact that the value of cryptocurrency transactions last year

502
00:24:22,359 --> 00:24:23,520
Speaker 7: was bigger than master.

503
00:24:23,240 --> 00:24:23,879
Speaker 1: Card and block chain.

504
00:24:23,920 --> 00:24:26,879
Speaker 7: You're talk about globally now globally yes, no, no, not

505
00:24:26,920 --> 00:24:29,040
Speaker 7: in Australia. I'm talking on the global rails.

506
00:24:30,200 --> 00:24:35,679
Speaker 2: So just in terms of blockchain, maybe it just give

507
00:24:35,760 --> 00:24:41,520
Speaker 2: us a minute or two explanation of what blockchain does

508
00:24:41,560 --> 00:24:45,159
Speaker 2: that the normal electronic systems in a normal banking system

509
00:24:45,359 --> 00:24:45,720
Speaker 2: don't do.

510
00:24:46,920 --> 00:24:49,280
Speaker 7: The easiest way to look at blockchains is literally as

511
00:24:49,320 --> 00:24:53,000
Speaker 7: a physical block and each transaction is building on the

512
00:24:53,040 --> 00:24:55,399
Speaker 7: former one, so it's so distributed. So I think you

513
00:24:55,520 --> 00:25:00,080
Speaker 7: talked about it before. Traditional banking system is centralized and

514
00:25:00,160 --> 00:25:04,520
Speaker 7: the blockchain in the crypto is essentially decentralized, so those

515
00:25:04,520 --> 00:25:08,359
Speaker 7: transactions are recorded on many computers around the world.

516
00:25:08,400 --> 00:25:09,160
Speaker 1: That's the blockchain.

517
00:25:09,240 --> 00:25:12,080
Speaker 7: On the blockchain, so very very hard for those transactions

518
00:25:12,119 --> 00:25:16,960
Speaker 7: to be raised, deleted, interfered with. So that's number one,

519
00:25:16,960 --> 00:25:20,479
Speaker 7: a much more secure system. It can happen much faster

520
00:25:20,560 --> 00:25:22,920
Speaker 7: because it's not just using a few computers, it's using

521
00:25:23,240 --> 00:25:26,919
Speaker 7: many computers. So that's the essence of it. And then

522
00:25:26,960 --> 00:25:30,160
Speaker 7: there's the visibility and the traceability of it. I don't

523
00:25:30,200 --> 00:25:31,760
Speaker 7: know if you or of any of your listeners have

524
00:25:31,840 --> 00:25:33,240
Speaker 7: ever had to try and trace some of that money

525
00:25:33,280 --> 00:25:36,600
Speaker 7: that was transfers virtuin possible on the blockchain.

526
00:25:36,680 --> 00:25:41,240
Speaker 1: It is highly traceable. Following Uber, you can see where

527
00:25:41,280 --> 00:25:41,520
Speaker 1: it is.

528
00:25:41,560 --> 00:25:44,000
Speaker 7: That's another great example, and I mean I think that's

529
00:25:45,280 --> 00:25:48,120
Speaker 7: the new technologies that we've seen in business models Uber,

530
00:25:48,440 --> 00:25:53,240
Speaker 7: AIRB and B. They're very visible transparency, big deal for

531
00:25:53,280 --> 00:25:55,719
Speaker 7: those things. It is and you can see it and trust.

532
00:25:55,800 --> 00:25:59,440
Speaker 7: Transparency and trust when you're talking financial assets, probably a

533
00:25:59,480 --> 00:26:02,479
Speaker 7: little bit hardh to sometimes see exactly what's happening and

534
00:26:02,480 --> 00:26:03,680
Speaker 7: for us to understand.

535
00:26:03,359 --> 00:26:06,560
Speaker 2: It in the traditional system, Yes, in the traditional and

536
00:26:06,640 --> 00:26:08,440
Speaker 2: we just trust the bank to do it for us.

537
00:26:08,480 --> 00:26:10,960
Speaker 1: We do, and look, it kind of works.

538
00:26:11,240 --> 00:26:13,439
Speaker 7: There's no doubt about it that the banking system works,

539
00:26:13,640 --> 00:26:18,359
Speaker 7: but it's clunky and it's unnecessarily expensive. What crypto and

540
00:26:18,400 --> 00:26:21,640
Speaker 7: the blockchain offers is a new way, a much more

541
00:26:21,640 --> 00:26:24,440
Speaker 7: secure way, a much quicker way, and a much cheaper.

542
00:26:24,200 --> 00:26:26,440
Speaker 1: Way, and more transparent and more transparent. You watch it,

543
00:26:26,760 --> 00:26:28,760
Speaker 1: you absolutely can see that happen. You can see it.

544
00:26:29,080 --> 00:26:32,960
Speaker 7: And the exciting thing is going to be for global

545
00:26:33,040 --> 00:26:35,040
Speaker 7: trade as well, and that's what I talked about the

546
00:26:35,080 --> 00:26:37,480
Speaker 7: stable coins and things like that. It's going to give

547
00:26:37,600 --> 00:26:40,800
Speaker 7: the big mining companies, agricultural companies, and in fact the

548
00:26:40,880 --> 00:26:44,600
Speaker 7: small trade is as well that are in regional, regional

549
00:26:44,600 --> 00:26:47,840
Speaker 7: Australia and regional countries that ability to deal directly with

550
00:26:47,920 --> 00:26:52,000
Speaker 7: supplies and see their money going through and get money,

551
00:26:53,160 --> 00:26:55,440
Speaker 7: will get their goods put on ships put on planes

552
00:26:55,520 --> 00:27:00,119
Speaker 7: much quicker. So crypto has had a real growth and

553
00:27:00,119 --> 00:27:02,879
Speaker 7: talked about a lot of retail investors and speculating on it,

554
00:27:03,000 --> 00:27:05,879
Speaker 7: and that's where it started. The interesting thing is that

555
00:27:05,920 --> 00:27:09,040
Speaker 7: the traditional financial system bonds and that which started in

556
00:27:09,080 --> 00:27:12,119
Speaker 7: the eighties and the nineties, started at an institutional level

557
00:27:12,600 --> 00:27:15,840
Speaker 7: and moved down and was eventually offered to retailers. Crypto's

558
00:27:15,880 --> 00:27:21,320
Speaker 7: exact reverse not necessarily sure why in some reasons. But

559
00:27:21,400 --> 00:27:24,480
Speaker 7: so cryptos started at retail, but it's now very much

560
00:27:24,520 --> 00:27:28,359
Speaker 7: moving into the institutional space and starting to mature, and

561
00:27:28,359 --> 00:27:31,040
Speaker 7: you're seeing that, and we're starting to see countries around

562
00:27:31,040 --> 00:27:33,359
Speaker 7: the world regulate in this space as well.

563
00:27:34,680 --> 00:27:34,840
Speaker 8: Well.

564
00:27:34,840 --> 00:27:37,080
Speaker 2: I'm here in South Australia for a special edition of

565
00:27:37,119 --> 00:27:40,480
Speaker 2: the Mentors series and I'm in a little I guess

566
00:27:40,480 --> 00:27:42,399
Speaker 2: you call it a suburbs to me, more like a

567
00:27:42,440 --> 00:27:46,160
Speaker 2: village called Ordinger, and I am speaking with Tren and

568
00:27:46,280 --> 00:27:49,479
Speaker 2: Mike from the little ritual. Welcome guys, thank you, How

569
00:27:49,480 --> 00:27:51,760
Speaker 2: are you going good? It's a pretty cool spite.

570
00:27:52,400 --> 00:27:53,800
Speaker 1: Yeah.

571
00:27:53,880 --> 00:27:56,480
Speaker 2: Can you just see maybe explain this joint to me

572
00:27:56,480 --> 00:27:59,120
Speaker 2: a little bit, because I mean, it's all it looks

573
00:27:59,160 --> 00:28:01,719
Speaker 2: like is three hundred years ago, but can't be right

574
00:28:01,760 --> 00:28:02,560
Speaker 2: because as as.

575
00:28:02,480 --> 00:28:03,159
Speaker 1: Myself that long.

576
00:28:03,560 --> 00:28:08,200
Speaker 9: No, it's pretty old, well for South Australia. So originally

577
00:28:08,200 --> 00:28:11,639
Speaker 9: this was the Blacksmith back in the day. Wow, So

578
00:28:11,680 --> 00:28:15,080
Speaker 9: it's actually technically the Blacksmith, coach builder and coffin maker

579
00:28:15,680 --> 00:28:18,320
Speaker 9: in Aldinger. So you have an original wall just behind

580
00:28:18,359 --> 00:28:21,400
Speaker 9: us here and then this a little bit here so

581
00:28:22,240 --> 00:28:24,480
Speaker 9: where we're sitting now was it has all fallen over?

582
00:28:24,520 --> 00:28:26,160
Speaker 9: You can actually see a little bit of an old

583
00:28:26,160 --> 00:28:31,639
Speaker 9: wall just behind me here, but it was a coach

584
00:28:31,680 --> 00:28:33,639
Speaker 9: builder next door which is now a coffee shop, and

585
00:28:33,680 --> 00:28:37,040
Speaker 9: then they made coffins and were the blacksmith just behind

586
00:28:37,040 --> 00:28:40,800
Speaker 9: the coffins coffins. So back in the day in Ordinger,

587
00:28:40,920 --> 00:28:44,240
Speaker 9: if someone died, they didn't go to the mall. They

588
00:28:44,320 --> 00:28:45,880
Speaker 9: just kept the body at the house. And if there

589
00:28:45,920 --> 00:28:48,280
Speaker 9: was a light on down just behind us, that meant

590
00:28:48,280 --> 00:28:51,040
Speaker 9: that they were quickly trying to build up a box

591
00:28:51,080 --> 00:28:53,840
Speaker 9: to put the person in. And then there's another little

592
00:28:53,880 --> 00:28:56,640
Speaker 9: spot down the back here where the hearst used to be,

593
00:28:56,880 --> 00:28:59,440
Speaker 9: so they used to pick up and go down pick

594
00:28:59,520 --> 00:29:03,040
Speaker 9: up the de ceased person. And the cemetery is just

595
00:29:03,120 --> 00:29:04,960
Speaker 9: up the road. So it was that for a long

596
00:29:04,960 --> 00:29:07,640
Speaker 9: time and then it turned into a mechanic. So if

597
00:29:07,680 --> 00:29:09,960
Speaker 9: you were here forty fifty years ago, there would have

598
00:29:09,920 --> 00:29:12,040
Speaker 9: been this would have been the mechanic. If you go

599
00:29:12,080 --> 00:29:13,880
Speaker 9: in next door to the to the coffee shop. Again,

600
00:29:13,960 --> 00:29:17,400
Speaker 9: there's actually the old pit still in the ground, but

601
00:29:18,040 --> 00:29:20,680
Speaker 9: it was rubble for about twenty thirty years, I think,

602
00:29:21,000 --> 00:29:23,960
Speaker 9: and then someone did it up enough and now it's

603
00:29:24,400 --> 00:29:27,360
Speaker 9: two businesses in it. We take a decent chunk of it,

604
00:29:27,360 --> 00:29:29,040
Speaker 9: and we got a little cofee shop next door, and then.

605
00:29:28,960 --> 00:29:30,040
Speaker 1: So that's your coffee shop.

606
00:29:30,160 --> 00:29:33,320
Speaker 9: No, no, some some really nice people do a little

607
00:29:33,320 --> 00:29:34,880
Speaker 9: I've got a nice little business next door that we

608
00:29:35,000 --> 00:29:37,640
Speaker 9: just share. We share a little courtyard with them, and

609
00:29:37,640 --> 00:29:39,440
Speaker 9: the toilets and a few other spots.

610
00:29:39,880 --> 00:29:41,440
Speaker 1: So you've males.

611
00:29:41,480 --> 00:29:44,480
Speaker 2: We explain what this restaurant does, like, what's the deal?

612
00:29:44,480 --> 00:29:47,040
Speaker 2: Like I Min, it's obviously food, but what top of

613
00:29:47,080 --> 00:29:48,000
Speaker 2: food we all made here?

614
00:29:48,320 --> 00:29:53,520
Speaker 8: Well, I don't think I would describe it as Vietnamese food,

615
00:29:54,320 --> 00:29:58,320
Speaker 8: more of a not anymore. Maybe a few years ago

616
00:29:58,680 --> 00:30:02,560
Speaker 8: it hasn't yet name. No, yeah, but we would probably

617
00:30:02,600 --> 00:30:07,600
Speaker 8: look to play on steak on chips that exactly. It

618
00:30:07,640 --> 00:30:10,360
Speaker 8: has a Vietnamese soul, but the food at the end

619
00:30:10,360 --> 00:30:14,520
Speaker 8: of the day, it's nourishing. And what we like to

620
00:30:14,520 --> 00:30:17,240
Speaker 8: do because we describe it as it is modern Asian,

621
00:30:17,360 --> 00:30:20,240
Speaker 8: we like to embrace all the cultures that come through

622
00:30:20,280 --> 00:30:20,719
Speaker 8: the kitchen.

623
00:30:21,080 --> 00:30:23,520
Speaker 9: The first year we were straight up Vie and that

624
00:30:23,680 --> 00:30:26,520
Speaker 9: was great because mar and Tren it made sense. And

625
00:30:26,520 --> 00:30:28,200
Speaker 9: then year two I would think that we were a

626
00:30:28,200 --> 00:30:30,760
Speaker 9: little bit more pushed the boundaries a bit further into

627
00:30:30,800 --> 00:30:34,840
Speaker 9: my modern Vie potentially What happened though, was there was

628
00:30:34,880 --> 00:30:36,520
Speaker 9: a little bit of a shift. There's only so much

629
00:30:36,520 --> 00:30:41,000
Speaker 9: that Trin could do with Ma as her cooking partner.

630
00:30:41,600 --> 00:30:43,680
Speaker 9: What happened is we were able to sort of break

631
00:30:43,720 --> 00:30:46,920
Speaker 9: through that and when we started to get staff and

632
00:30:46,960 --> 00:30:51,240
Speaker 9: get some more interest. Is that it allowed Trin to

633
00:30:51,280 --> 00:30:55,479
Speaker 9: go from doing vat, which I think I can safely

634
00:30:55,520 --> 00:31:00,720
Speaker 9: say loves, but it wasn't her wheelhouse. What was nice

635
00:31:00,800 --> 00:31:03,480
Speaker 9: is that in years three and four, let's say we

636
00:31:03,520 --> 00:31:07,880
Speaker 9: started to push into modern Southeast Asian. So maybe there's

637
00:31:08,000 --> 00:31:10,120
Speaker 9: some v in there, yeah, but there was a much

638
00:31:10,160 --> 00:31:12,200
Speaker 9: more of a modern take on a bit of everything else,

639
00:31:12,240 --> 00:31:12,480
Speaker 9: I mean.

640
00:31:14,040 --> 00:31:15,600
Speaker 1: Japanese. Yeah.

641
00:31:15,680 --> 00:31:17,600
Speaker 9: And so then I think in the last couple of

642
00:31:17,640 --> 00:31:20,160
Speaker 9: years you really have got this. If you sort of

643
00:31:20,240 --> 00:31:24,200
Speaker 9: want to describe what our food is, it's trends, background

644
00:31:24,360 --> 00:31:29,440
Speaker 9: and her family at the core. But we've had chefs.

645
00:31:29,560 --> 00:31:31,280
Speaker 9: We've had a number of chefs come through and we

646
00:31:31,320 --> 00:31:33,160
Speaker 9: have a number with us now. So we've had chefs

647
00:31:33,160 --> 00:31:40,200
Speaker 9: from Thailand, South Korea, Hong Kong. We've had obviously born

648
00:31:40,200 --> 00:31:43,920
Speaker 9: and bred here. We've had guys from the pool. If

649
00:31:43,920 --> 00:31:46,440
Speaker 9: we stayed VIE, I don't think Trim would then be

650
00:31:46,440 --> 00:31:49,880
Speaker 9: handstrung to only do a modern version of that. What's

651
00:31:49,960 --> 00:31:53,640
Speaker 9: nice is that we can take food from anywhere in

652
00:31:53,680 --> 00:31:56,720
Speaker 9: Asia and sort of mix and match and sort of

653
00:31:56,760 --> 00:31:59,400
Speaker 9: have more of an ethos of it has to be punchy,

654
00:32:00,120 --> 00:32:02,880
Speaker 9: flavorful and sort of be our kind of food.

655
00:32:04,560 --> 00:32:07,640
Speaker 2: When the government's you know, sort of saying things are

656
00:32:07,640 --> 00:32:10,240
Speaker 2: pretty good, you know, blah blah blah, well you must

657
00:32:10,240 --> 00:32:12,280
Speaker 2: get really frustrated. You must be thingue to what are

658
00:32:12,320 --> 00:32:15,160
Speaker 2: you talking about? I mean, because do you think it's

659
00:32:16,000 --> 00:32:19,760
Speaker 2: a smoke screen? Do you think it's I don't know,

660
00:32:20,480 --> 00:32:22,960
Speaker 2: a whole lot of bullshit. And the people are doing

661
00:32:22,960 --> 00:32:25,560
Speaker 2: this on purpose to pretend that things are better than

662
00:32:25,560 --> 00:32:28,800
Speaker 2: they really are, or I do, or we us three

663
00:32:28,880 --> 00:32:32,160
Speaker 2: here missing something because I'm experiencing the same thing as

664
00:32:32,160 --> 00:32:35,080
Speaker 2: you're experiencing. I feel as though we've dropped the ball.

665
00:32:35,080 --> 00:32:37,440
Speaker 2: I think our hospitality in this country. Look, there are

666
00:32:37,520 --> 00:32:41,480
Speaker 2: a great hospitality place, but there's not enough. The hours

667
00:32:41,480 --> 00:32:45,240
Speaker 2: are not long enough, the restrictions are too ridiculous. You've

668
00:32:45,240 --> 00:32:47,200
Speaker 2: got to go hunt around to find somewhere to go

669
00:32:48,840 --> 00:32:53,000
Speaker 2: to travel in this country. Interstate is I mean, I'm

670
00:32:53,080 --> 00:32:55,240
Speaker 2: like you, I do it for business, but if you're

671
00:32:55,240 --> 00:32:57,640
Speaker 2: doing it for pleasure, you think you maybe I should

672
00:32:57,680 --> 00:32:59,320
Speaker 2: drive it's better.

673
00:32:59,400 --> 00:33:03,479
Speaker 10: Also, I think why we don't like people in this country.

674
00:33:03,560 --> 00:33:05,360
Speaker 10: We have customers that come up from Melbourne, come from

675
00:33:05,400 --> 00:33:08,520
Speaker 10: South Australia, et cetera, but not frequently because they read

676
00:33:08,640 --> 00:33:10,479
Speaker 10: rather go, oh, I'm going to go to Bali actually

677
00:33:10,520 --> 00:33:14,320
Speaker 10: for ten days you know, because you know, yeah, so it.

678
00:33:15,280 --> 00:33:18,120
Speaker 10: I do think there's a lot of bullshits the way,

679
00:33:18,280 --> 00:33:21,360
Speaker 10: for sure, like absolutely, But who's responsible for it?

680
00:33:21,440 --> 00:33:24,000
Speaker 2: I mean, I don't mean who's responsible for us losing

681
00:33:24,040 --> 00:33:24,320
Speaker 2: our way?

682
00:33:24,360 --> 00:33:25,360
Speaker 1: But who has to fix it?

683
00:33:25,480 --> 00:33:28,080
Speaker 2: Like I mean, is it and the government? Same private

684
00:33:28,160 --> 00:33:31,520
Speaker 2: enterproceeds to do it. But my feeling is it's the government.

685
00:33:31,560 --> 00:33:32,440
Speaker 2: It starts with the government.

686
00:33:32,520 --> 00:33:33,480
Speaker 1: It starts with the government.

687
00:33:33,480 --> 00:33:36,000
Speaker 10: But what's something I feedback I got from that reel

688
00:33:36,000 --> 00:33:38,760
Speaker 10: that we posted, which I was not expecting would do this,

689
00:33:38,880 --> 00:33:41,920
Speaker 10: to be honest, is that all of us are feeling

690
00:33:41,960 --> 00:33:45,040
Speaker 10: the same thing, and that all of us think it

691
00:33:45,200 --> 00:33:48,840
Speaker 10: comes from a government level. But that a lot of

692
00:33:48,880 --> 00:33:53,360
Speaker 10: people again, hundreds of dms thanking me for bringing light

693
00:33:53,400 --> 00:33:55,680
Speaker 10: to it and showcasing it in such a kind of

694
00:33:55,880 --> 00:33:58,600
Speaker 10: I guess, brutal fashion, just saying it for what it is,

695
00:33:59,160 --> 00:34:02,560
Speaker 10: and a lot of small business is saying, now, I

696
00:34:02,600 --> 00:34:04,600
Speaker 10: want to start talking about it more. I've been sort

697
00:34:04,600 --> 00:34:07,000
Speaker 10: of holding my tongue because I'm afraid. I don't want

698
00:34:07,000 --> 00:34:09,040
Speaker 10: to get too much. Everyone's scared.

699
00:34:09,080 --> 00:34:10,040
Speaker 1: I feel like we are a.

700
00:34:09,960 --> 00:34:12,760
Speaker 10: Bit afraid in Australia, Like in Europe, people are marching

701
00:34:12,840 --> 00:34:13,920
Speaker 10: streets and saying.

702
00:34:14,880 --> 00:34:18,680
Speaker 1: March every week. Yeah, every day. Sometimes looks sometimes just

703
00:34:18,719 --> 00:34:24,359
Speaker 1: after lunch, yeah, serious after lunch. Sometimes they don't.

704
00:34:24,520 --> 00:34:26,440
Speaker 10: Well most of the time it doesn't do anything, but

705
00:34:26,480 --> 00:34:27,840
Speaker 10: it shows the government.

706
00:34:27,880 --> 00:34:30,920
Speaker 1: Okay, you know whereas we like nobody, what is that

707
00:34:30,960 --> 00:34:31,239
Speaker 1: with us?

708
00:34:32,719 --> 00:34:36,680
Speaker 10: We're just cut too compliant. Honestly, we are complying. I

709
00:34:36,719 --> 00:34:40,560
Speaker 10: think so like we're a nanny country and nanny state

710
00:34:40,600 --> 00:34:43,040
Speaker 10: where we comply and we just go and we also

711
00:34:43,120 --> 00:34:46,919
Speaker 10: look that the tax department, the government, the police force,

712
00:34:47,000 --> 00:34:50,200
Speaker 10: all of it. It functions because people are whipped into line.

713
00:34:50,200 --> 00:34:52,560
Speaker 10: Even Simono said that when he first arrived, and he's like,

714
00:34:52,840 --> 00:34:56,200
Speaker 10: my god, it really works here in Italy. No, everyone's like, no,

715
00:34:56,239 --> 00:34:57,600
Speaker 10: I'm going to just drive and do what.

716
00:34:58,600 --> 00:34:59,439
Speaker 1: Yeah, but.

717
00:35:01,000 --> 00:35:03,920
Speaker 10: We are we're all too afraid that if we just

718
00:35:03,960 --> 00:35:06,640
Speaker 10: step a little bit out of line, that something's going

719
00:35:06,719 --> 00:35:09,200
Speaker 10: to happen, something bad will happen, which you see it.

720
00:35:09,160 --> 00:35:10,240
Speaker 1: Can for some people.

721
00:35:10,280 --> 00:35:12,720
Speaker 10: But if you're not breaking the law by just speaking

722
00:35:12,840 --> 00:35:15,320
Speaker 10: up and saying things have got.

723
00:35:15,080 --> 00:35:17,200
Speaker 1: To change, So maybe you've created a movement.

724
00:35:17,239 --> 00:35:21,640
Speaker 2: Maybe Australian business owners should stand together and start to

725
00:35:21,680 --> 00:35:23,680
Speaker 2: speak up and be part of the movement.

726
00:35:24,560 --> 00:35:25,720
Speaker 1: I absolutely believe.

727
00:35:26,360 --> 00:35:29,399
Speaker 10: Yeah, And I said to Simon it, I mainly did

728
00:35:29,400 --> 00:35:32,000
Speaker 10: this because we already decided we're going to close in January.

729
00:35:32,200 --> 00:35:32,359
Speaker 1: Right.

730
00:35:32,520 --> 00:35:34,640
Speaker 10: It's not like we did this to get some publicity

731
00:35:34,640 --> 00:35:35,680
Speaker 10: so we could maybe stay open.

732
00:35:35,719 --> 00:35:36,640
Speaker 1: It's like, this is it.

733
00:35:36,719 --> 00:35:38,640
Speaker 6: For us, right with us?

734
00:35:38,920 --> 00:35:41,560
Speaker 10: Yeah, And the closure feels like a breath. You know,

735
00:35:41,600 --> 00:35:43,520
Speaker 10: you can take a breath when you make a decision.

736
00:35:43,680 --> 00:35:47,200
Speaker 10: But I said, look, if this does anything, you know,

737
00:35:48,080 --> 00:35:50,360
Speaker 10: because the next morning after i'd posted it, it was

738
00:35:50,400 --> 00:35:52,720
Speaker 10: like going crazy and I thought, oh, I didn't realize

739
00:35:52,719 --> 00:35:55,200
Speaker 10: it was going to do this. And now I've realized

740
00:35:55,239 --> 00:35:58,160
Speaker 10: that it's more important to try to create that conversation

741
00:35:58,440 --> 00:36:01,359
Speaker 10: in the small and medium business and that's what I

742
00:36:01,400 --> 00:36:03,040
Speaker 10: hope this is going to do. And I'd be more

743
00:36:03,040 --> 00:36:05,759
Speaker 10: than happy to do whatever it takes to keep that

744
00:36:05,880 --> 00:36:09,440
Speaker 10: going because I don't want to leave Australia and not

745
00:36:09,800 --> 00:36:12,360
Speaker 10: come back and see it thriving.

746
00:36:12,480 --> 00:36:13,919
Speaker 1: You know this. I actually had.

747
00:36:13,800 --> 00:36:15,360
Speaker 10: A bit of a teary to some on it the

748
00:36:15,360 --> 00:36:17,440
Speaker 10: other day because I said, I've I used to be

749
00:36:17,480 --> 00:36:20,080
Speaker 10: in the entertainment industry as well. I was a singer, singer,

750
00:36:20,080 --> 00:36:22,720
Speaker 10: and so I would sing in every venue around Sydney

751
00:36:22,920 --> 00:36:25,640
Speaker 10: seven nights a week at one point, you know, and

752
00:36:26,160 --> 00:36:29,839
Speaker 10: there was things to do, places to go. Then, you know,

753
00:36:30,040 --> 00:36:32,400
Speaker 10: with the lockout laws, that's when it kind of started.

754
00:36:32,400 --> 00:36:35,840
Speaker 10: But it's just slowly gotten worse and worse and worse.

755
00:36:35,880 --> 00:36:39,360
Speaker 10: And it almost feels like now people are really starting

756
00:36:39,400 --> 00:36:42,880
Speaker 10: to realize. But it's been a ten year slow decline.

757
00:36:42,960 --> 00:36:46,440
Speaker 1: I think COVID helped them, and COVID home, Yeah, it

758
00:36:46,440 --> 00:36:46,960
Speaker 1: had helped them.

759
00:36:46,960 --> 00:36:49,000
Speaker 2: And because that's my feeling too, I feel like I

760
00:36:49,040 --> 00:36:51,520
Speaker 2: live in a constraint environment that I can't do this.

761
00:36:51,600 --> 00:36:53,359
Speaker 2: I can't drive here, I can't park there, I can't

762
00:36:53,840 --> 00:36:57,040
Speaker 2: eat there, I can't stay there a certain time, you know.

763
00:36:57,360 --> 00:36:59,600
Speaker 1: I feel like that my world is full of rules,

764
00:37:00,160 --> 00:37:01,600
Speaker 1: is absolutely.

765
00:37:01,239 --> 00:37:04,960
Speaker 2: And I'm a boy who grew up in the grew

766
00:37:05,000 --> 00:37:06,560
Speaker 2: up and I was in my twenties in the eighties.

767
00:37:06,680 --> 00:37:08,600
Speaker 1: Yeah, By my god, there's no rules. You did what

768
00:37:08,719 --> 00:37:10,600
Speaker 1: you want and it was unbelievable.

769
00:37:10,600 --> 00:37:13,240
Speaker 2: I'm so lucky to have lived in the eighties because today,

770
00:37:13,480 --> 00:37:17,919
Speaker 2: in the twenty twenties, it's the rules and the regulations.

771
00:37:18,040 --> 00:37:20,080
Speaker 1: We must be one of the most regulated countries out

772
00:37:20,080 --> 00:37:22,920
Speaker 1: the world, for sure. Absolutely. And you go to Europe,

773
00:37:23,120 --> 00:37:26,799
Speaker 1: it's Italy, a Greece, Spain, port your girl, free what

774
00:37:26,840 --> 00:37:27,279
Speaker 1: you want.

775
00:37:27,800 --> 00:37:31,759
Speaker 6: I mean, so you feel their freedom of society, you

776
00:37:31,800 --> 00:37:35,759
Speaker 6: know what I mean? Like you know, so the same

777
00:37:35,800 --> 00:37:39,800
Speaker 6: and social life for you. You finish a nineteen thirty

778
00:37:39,840 --> 00:37:43,320
Speaker 6: to work, then to work, you want to see your friends,

779
00:37:43,360 --> 00:37:47,440
Speaker 6: have like a gloss online and talk till midnight.

780
00:37:47,600 --> 00:37:49,720
Speaker 1: Have a break. Yeah you can't.

781
00:37:49,800 --> 00:37:50,560
Speaker 4: There's nowhere to go.

782
00:37:50,719 --> 00:37:52,560
Speaker 1: No, there's no place to go. No.

783
00:37:53,000 --> 00:37:57,000
Speaker 2: Yeah, well that's it. I mean, unfortunately, this is this conversation.

784
00:37:57,760 --> 00:37:59,759
Speaker 2: It needs to be had. It's a bit of a

785
00:37:59,800 --> 00:38:02,439
Speaker 2: down yeah, And I'm sorry that it's affected you guys

786
00:38:02,520 --> 00:38:05,239
Speaker 2: the way it has. But I'm actually glad, on the

787
00:38:05,239 --> 00:38:08,880
Speaker 2: other hand, that you've raised it and that you've actually

788
00:38:09,440 --> 00:38:12,080
Speaker 2: had the gumption and the courage to actually come out

789
00:38:12,080 --> 00:38:14,759
Speaker 2: publicly and say it. And what's interesting, as you say,

790
00:38:14,880 --> 00:38:19,040
Speaker 2: it's gone viral certainly got drawn to my attention by

791
00:38:19,040 --> 00:38:21,040
Speaker 2: a number of people, which is why we invited you on,

792
00:38:21,520 --> 00:38:23,280
Speaker 2: and because I think.

793
00:38:23,160 --> 00:38:24,359
Speaker 1: We do need to speak up.

794
00:38:24,440 --> 00:38:28,200
Speaker 2: Absolutely, small business owners in Australia need to speak up.

795
00:38:28,239 --> 00:38:31,080
Speaker 2: We are the backbone of this country. See government saying

796
00:38:31,120 --> 00:38:33,960
Speaker 2: it when they do nothing about it, literally nothing, But

797
00:38:34,480 --> 00:38:36,960
Speaker 2: we probably have to take control of it ourselves.

798
00:38:36,719 --> 00:38:37,319
Speaker 1: That's that's it.

799
00:38:37,480 --> 00:38:39,880
Speaker 10: So if that's what he's referring to, well, sure we

800
00:38:39,880 --> 00:38:41,880
Speaker 10: should take control of ourselves, but I don't think we

801
00:38:41,920 --> 00:38:44,959
Speaker 10: need to be contributing more. I feel like we pay

802
00:38:45,440 --> 00:38:48,040
Speaker 10: the majority of our taxes in this country, the majority

803
00:38:48,080 --> 00:38:51,520
Speaker 10: of everything in this country, you know, but without us, like,

804
00:38:51,920 --> 00:38:54,640
Speaker 10: there's going to be nothing to attract people here, let

805
00:38:54,640 --> 00:38:57,520
Speaker 10: alone ourselves who are born and bred here.

806
00:38:57,560 --> 00:38:57,719
Speaker 4: You know.

807
00:38:57,880 --> 00:39:01,040
Speaker 2: I don't want someone like someone going by Didalian saying

808
00:39:01,440 --> 00:39:04,400
Speaker 2: oh yeah, well you know, not him, but not just

809
00:39:04,400 --> 00:39:07,400
Speaker 2: saying like him saying, you know, should I go to

810
00:39:07,440 --> 00:39:08,440
Speaker 2: Australia for holidays?

811
00:39:08,640 --> 00:39:11,759
Speaker 1: Well yeah, but there's not much to do. Yes, that

812
00:39:11,800 --> 00:39:13,000
Speaker 1: would be the worst thing ever.

813
00:39:13,120 --> 00:39:13,319
Speaker 5: Yes,