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Speaker 1: I hate asking what people do for work. It's what

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Speaker 1: makes your heart happy. AI is such a good tool

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Speaker 1: from a disability and even just like an advocacy standpoint,

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Speaker 1: because if there's stuff that's missing that you can't have,

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Speaker 1: that can fill in some of the gaps for you.

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Speaker 2: Welcome to the Seize the Ya Podcast. Busy and happy

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Speaker 2: are not the same thing. We too rarely question what

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Speaker 2: makes the heart seeing. We work, then we rest, but

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Speaker 2: rarely we play and often don't realize there's more than

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Speaker 2: one way. So this is a platform to hear and

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Speaker 2: explore the stories of those who found lives they adore,

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Speaker 2: the good, bad and ugly. The best and worst day

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Speaker 2: will bear all the facets of Seizing your Yea. I'm

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Speaker 2: Sarah Davidson or a spoonful of Sarah, a lawyer turned

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Speaker 2: fu entrepreneur whos wapped the suits and heels to co

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Speaker 2: found matcha Maiden and matcha Milk Bar. Sez the Ya

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Speaker 2: is a series of conversations on finding a life you

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Speaker 2: love and exploring the self doubt, challenge, joy and fulfillment

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Speaker 2: along the way yighborhood. One of my favorite things about

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Speaker 2: this show is the incidental opportunity it gives me to

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Speaker 2: learn about things I don't really understand from the people

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Speaker 2: who find their yay in making it their area of expertise.

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Speaker 2: I often refer to my selfish motivations in approaching particular

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Speaker 2: guests to pick their brains about things that fascinate me.

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Speaker 2: And an episode on AI has been brewing for some time.

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Speaker 2: I think many of you will resonate with AI seeping

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Speaker 2: more and more into your life, and in my case,

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Speaker 2: at least a little quicker than my understanding of it

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Speaker 2: has been able to develop. I'm surrounded by content on

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Speaker 2: how it can change your life and productivity for the better,

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Speaker 2: but also how it'll replace us all by tomorrow. So

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Speaker 2: I wanted a guest who not only understands it well,

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Speaker 2: but is known for being able to make that information

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Speaker 2: digestible to the everyday person. Enter Lauren Dennett, who I

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Speaker 2: was lucky to meet through my partnership with HP, who

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Speaker 2: has helped me better grasp and therefore harness the power

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Speaker 2: of HP's AI technologies in such a big way. Lauren

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Speaker 2: is the product expert for HP among many other titles,

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Speaker 2: and I think you'll be able to hear within minutes

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Speaker 2: even of our chat just how passionate. They are about

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Speaker 2: the power of AI and empowering all of us to

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Speaker 2: reap its benefits in our day to day lives, from

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Speaker 2: busting common misconceptions to naming KEYAI powered tools that can

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Speaker 2: change your work or change your personal life. Even we

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Speaker 2: are so lucky to have Lauren here demystifying it all weaved,

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Speaker 2: of course, around Lauren's own path yay, including as you

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Speaker 2: can hear from their pronouns, their non binary identity, their

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Speaker 2: experience of inclusion, and their passionate advocacy in the workplace.

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Speaker 2: I hope you all enjoy and learn as much from

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Speaker 2: this episode as I did. Lauren, Hello, Welcome to CEZA.

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Speaker 1: You so so much. It's so good to be here.

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Speaker 2: It's so weird. I feel like we know each other

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Speaker 2: really well because we've spoken a lot online, but this

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Speaker 2: is our first IRL interaction. It's like we're besties.

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Speaker 1: I think we are besties. So now I'm questioning our

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Speaker 1: relationship at this point.

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Speaker 2: I am not. I am comfortable with the beautiful relationship

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Speaker 2: that we have, and I'm really excited to have you here.

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Speaker 2: We have already gone very rogue before we started recording,

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Speaker 2: so yeah, well, we'll distill all the wisdom that exists

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Speaker 2: in your brain. Your brain is one, as I mentioned

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Speaker 2: in the intro, that I'm very excited to pick for

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Speaker 2: so many reasons, but a very big part of CZA

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Speaker 2: is the idea that the best pathways are neverlinear. And

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Speaker 2: even though now it is so clear within million seconds

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Speaker 2: of speaking to you that you are so passionate about

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Speaker 2: what you do and that you're in exactly the place

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Speaker 2: that you're meant to be in this world, it's never

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Speaker 2: a straight line to get there, and there's often so

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Speaker 2: many chapters to get there before that. So I want

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Speaker 2: to go back to young you sort of the first

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Speaker 2: jobs that you had. I think we all think about

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Speaker 2: those jobs that we want to have when we grow up,

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Speaker 2: and you know, I think one of the things we

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Speaker 2: often say is the job you'll have eventually might not

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Speaker 2: even exist at the time that you know you're having

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Speaker 2: these hopes and dreams, which in your case is definitely

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Speaker 2: the case, because AI is very very news. So what

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Speaker 2: did you think you'd be when you were younger?

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Speaker 1: I was talking to my partner about this last night

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Speaker 1: because I was like, how do I summarize this in

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Speaker 1: a funny way? So basically, young me had this grand idea.

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Speaker 1: I wanted to be a creative. I wanted the chance

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Speaker 1: to sort of like put things on paper, and I

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Speaker 1: wanted to be an architect. However, I have afantasia or

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Speaker 1: afantasia where I can't picture things.

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Speaker 2: What.

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Speaker 1: Yeah, so I recently found out people, you're in a room, right,

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Speaker 1: So right now, I'm going to challenge you. Think about

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Speaker 1: a room. I want you to picture a ball in

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Speaker 1: that room. Okay, what does that ball look like? It

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Speaker 1: is a black squishy stress ball.

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Speaker 2: Okay, that has this logo on it that's on your microphone.

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Speaker 2: Because this is what we've just been speaking about before,

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Speaker 2: that we need a stress squishy ball to have something

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Speaker 2: to do with our hands. And that's what the ball

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Speaker 2: is in the room. Amazing, straight to my head the picture.

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Speaker 2: What does the table look like? It is a black

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Speaker 2: like matt aluminium leg table and it matches the black

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Speaker 2: ball that sitting in the middle of it.

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Speaker 1: Yeah.

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Speaker 3: Cool.

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Speaker 1: Do you want to know what I see? Nothing? Abyss

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Speaker 1: nothing stop it. So as as you can tell, as

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Speaker 1: a young person wanting to be an architect, I have

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Speaker 1: a complete disadvantage and I think it's rude. So anyway, wait,

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Speaker 1: hold on, so you can't. I can't see anything, and

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Speaker 1: I didn't know that wasn't normal. So now when I

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Speaker 1: talk to people, it's like, you know, when you meet someone,

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Speaker 1: you're like, what do you do for work? And obviously

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Speaker 1: it's a really weird one because immediately you start judging

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Speaker 1: people and what they do. So I hate asking what

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Speaker 1: people do for work. It's what makes your heart happy.

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Speaker 1: But sometimes it's.

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Speaker 3: What do you see?

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Speaker 1: Do you see this ball?

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Speaker 3: Let this ball look like the table look like? E Matually?

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Speaker 3: What are we in?

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Speaker 1: Is their noise canceling everywhere? Like? Is it bright?

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Speaker 3: Is its improved? Bring me to your room?

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Speaker 2: I don't have a room, see Lauren, that is so interesting.

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Speaker 1: So long story short, baby Lauren could not, unfortunately, be

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Speaker 1: an architect because it was.

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Speaker 3: Never going to work fair enough.

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Speaker 2: I mean, if you can't visualize things, unless you were

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Speaker 2: designing like a brutalist escape room that was just black,

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Speaker 2: in which case you'd be a made I.

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Speaker 1: Think I thrive in that, honestly, I think it really

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Speaker 1: was so just the aspect of watching people struggle.

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Speaker 2: Ye.

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Speaker 1: So I've got the creativity and I've got the passion,

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Speaker 1: but the problem is I don't have the visualization. It

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Speaker 1: just doesn't exist in my head. So I can recall

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Speaker 1: things from memory, but I can't make it up on

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Speaker 1: the spot. It just doesn't exist. So yeah, past me

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Speaker 1: couldn't do that. But as my career kind of grew,

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Speaker 1: like I was one of those kids where I grew

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Speaker 1: up in the Mornington Peninsula, there wasn't a lot of

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Speaker 1: opportunity there, so I didn't really know what options there were,

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Speaker 1: and so classic me, I went to TAVE tried to

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Speaker 1: figure that out, studied web design and thought, you know,

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Speaker 1: maybe this is what I want to do. Terrible at

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Speaker 1: that because naturally you can't picture things, so you.

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Speaker 3: Can't recall things.

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Speaker 1: So even studying going to school, it just wasn't helpful

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Speaker 1: for me. So I took a gap year, went to

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Speaker 1: JB High Fi, went to you know, started doing retail work,

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Speaker 1: selling my soul because I love talking to people, and

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Speaker 1: I realized I really wish there was a job where

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Speaker 1: I could just talk for a living. And so through

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Speaker 1: JB High Fi and through that there was like all

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Speaker 1: these opportunities to learn from brands and so so I'm

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Speaker 1: not going to name names, but there was a gentleman

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Speaker 1: that was this absolute catalyst for how I got to

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Speaker 1: my job. The way that he performed, the way that

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Speaker 1: he presented, and the way that he talked about product

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Speaker 1: and his passion. I was like, I want to be

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Speaker 1: that person. I absolutely willed it. So when I was

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Speaker 1: twenty one, I'm now thirty three, thirty.

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Speaker 2: Four, My god, just skin's amazing, My god, thank you

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Speaker 2: so much. I'm in the tangents.

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Speaker 3: Oh we already off track, but this is great, just.

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Speaker 1: Let it go. But yeah, So twenty one year old

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Speaker 1: me got presented to by this person, and so I

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Speaker 1: had this thing where I was like, I want to

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Speaker 1: be this person. And now I look at it, and

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Speaker 1: that person was the key presenter, the product expert for HP.

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Speaker 3: Yeah, chill act.

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Speaker 1: So I don't know how I willed it, but basically

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Speaker 1: my trajectory went from working in retail. I decided I

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Speaker 1: wanted to then go and do the natural progression from retailers.

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Speaker 1: Either you go do this really weird sales job, you

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Speaker 1: go be a car salesperson or a real estate agent,

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Speaker 1: or you go into rapping. So I went into wrapping.

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Speaker 1: I then started going into my retailers and then getting

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Speaker 1: the chance to sort of again build up my confidence

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Speaker 1: in talking to people, and I guess, recalling information and

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Speaker 1: more importantly just bringing my passion. And so I got

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Speaker 1: to do that, and then as that started to grow, randomly,

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Speaker 1: this job popped up. This guy he decided to leave

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Speaker 1: his job, and I was like, you know what, I'm

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Speaker 1: just gonna give it a go. It's my time to shine, literally,

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Speaker 1: and so I had my interview. I had no qualifications.

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Speaker 1: I was just really good at shit talking. Excuse my language.

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Speaker 1: I was really good at talking, and so naturally I

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Speaker 1: got really lucky. I had a four round interview and

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Speaker 1: next thing, you know, the guy that hired me took

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Speaker 1: a chance, and I'm here four years later.

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Speaker 2: Oh my god, talking as part of your job. Yeah,

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Speaker 2: product expert for HP eally chills.

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Speaker 1: So that's how I got to where I am now,

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Speaker 1: and it's what I planned. Never really existed, but it did.

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Speaker 1: I didn't know that this was a thing, and then

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Speaker 1: once I saw that person, I was like, I want

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Speaker 1: to be you in a non creepy way. Of course,

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Speaker 1: there I am. I'm doing that job, and even what

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Speaker 1: I saw versus what I'm doing now is so different,

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Speaker 1: Like I never would have thought that in my role

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Speaker 1: I'd be sitting here talking to someone amazing, like yourself

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Speaker 1: that also interviews incredible souls like again talking back to

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Speaker 1: your True Crime interview badly, like I was like, I

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Speaker 1: have imposter syndrome? What am I doing here? How in

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Speaker 1: the world am I sitting in the same table as

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Speaker 1: all these famous people, like even the bloody Purple Wiggle, Like,

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Speaker 1: I'm sorry, word, how am I in this room right now? So, yeah,

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Speaker 1: it's such an incredible opportunity. So again, thank you for

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Speaker 1: having me and liked being able to speak to who

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Speaker 1: I am and my current passions in HP Oh.

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Speaker 2: It is such an incredible privilege, not only because you

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Speaker 2: can tell, as I said immediately, how excited you are

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Speaker 2: about what you do. And my passion is talking to

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Speaker 2: people about what they're passionate about, because nothing lights a

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Speaker 2: person up like them finding their yay and actually doing it,

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Speaker 2: but also reminding people that, yeah, it's never straightforward to

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Speaker 2: get there. And I think your story is so powerful

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Speaker 2: for so many reasons because it's already touched on the

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Speaker 2: fact that you can't become something if you haven't seen it.

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Speaker 2: And I think visibility my show aims to tell stories

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Speaker 2: so that someone listening goes I didn't know that job

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Speaker 2: was possible. I want to be that you can't aim

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Speaker 2: for something you don't know. Is there exactly sliding doors

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Speaker 2: moments meeting the right person? And also the role of luck.

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Speaker 2: You said you got lucky. I don't think you got lucky.

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Speaker 2: I think there's luck and timing plays a role, but

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Speaker 2: I also think you do manifest things for yourself, and

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Speaker 2: by putting yourself forward that wasn't lucky. You actually stepped

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Speaker 2: through the discomfort to put your name forward and then

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Speaker 2: you got it. But you couldn't have got the job

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Speaker 2: unless you went for it. But the most important thing

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Speaker 2: that stood out for me in that is how we

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Speaker 2: silo ourselves based on the things we can and can't

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Speaker 2: do from a very young age, and you not being

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Speaker 2: able to visualize things could have easily made you believe

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Speaker 2: you weren't clever.

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Speaker 1: Absolutely, I genuinely thought I was stupid.

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Speaker 2: Yeah, because you couldn't do just one aspect of the

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Speaker 2: brain's capacity. But I almost want to cry thinking about

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Speaker 2: without those sliding doors moments, how you might never have

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Speaker 2: discovered that you're incredibly clever. It's just a different form offer.

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Speaker 1: Yeah, absolutely, And honestly I don't think like thinking back

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Speaker 1: to my high school days thinking back to other students

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Speaker 1: similar to myself, like I would have benefited wholeheartedly doing

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Speaker 1: more of like a tape style hands on because I

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Speaker 1: learned by doing. I don't learn by listening, And so

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Speaker 1: high school is very much like a how well can

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Speaker 1: you recite what you've learned? It's not how smart you are,

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Speaker 1: And so unfortunately I was at a disadvantage. So most

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Speaker 1: of my high school life I just turned up, put

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Speaker 1: my name on a test, and then walked away and

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Speaker 1: barely passed. But where I am now in my career,

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Speaker 1: I never would have thought that I'd be a successful person.

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Speaker 1: I never would have seen myself in a role like

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Speaker 1: this where I'm able to empower others. So it's so fulfilling.

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Speaker 1: Like I'm so proud and so proud to work for

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Speaker 1: HP and have people within HP trust me enough to

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Speaker 1: come and have a talk to you as well and

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Speaker 1: represent the brand is amazing.

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Speaker 2: Oh I love that. And I do think for anyone

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Speaker 2: listening who has tried to fit themselves in the wrong

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Speaker 2: shaped hole and it's made them reflect on their intelligence

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Speaker 2: or capabilities in a way that they think, well, I

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Speaker 2: can't do that, so I can't do anything you just

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Speaker 2: need to keep trying. You'll find something like someone out

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Speaker 2: there is looking for exactly what you have. That's the

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Speaker 2: quote I always come back to, and I'm so excited

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Speaker 2: that you have found that and obviously thriving doing it.

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Speaker 2: But it is true that another part of this show

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Speaker 2: is the idea that I don't also want to ask

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Speaker 2: people what they do as the first question. I want

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Speaker 2: to ask what's your yea? What lights you up? I

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Speaker 2: don't want it to be our whole identity, but it

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Speaker 2: is important to understand what you do so that others

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Speaker 2: could aim for this role in the future. How do

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Speaker 2: you describe it? Because it is so multifaceted, like.

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Speaker 1: What do you do? Look, if I want to tell

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Speaker 1: you my formal role is HP's lead trainer and content manager,

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Speaker 1: and then that asterisk field team manager Asterisk you know,

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Speaker 1: pr person, I guess or hype guy for HP. But honestly,

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Speaker 1: I love.

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Speaker 2: Dog shirt wearer extraordinare I.

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Speaker 1: Honestly the coul shirt guy? That's so fine too.

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Speaker 2: Honestly, whatever the official one I found on LinkedIn.

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Speaker 1: I thought, I thank you, I'm s It's fine. Please,

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Speaker 1: I'll make sure to put that as a skill. Yeah,

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Speaker 1: pull shirt where I know, I was tossing up to

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Speaker 1: I go dog shirt or caterpillars today, but I thought,

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Speaker 1: doc sh.

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Speaker 2: I mean it says a lot. I think dog immediately

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Speaker 2: ingratiating yourself with me, I'm like, this is good, thank you.

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Speaker 1: Thank you so much. Also, I realized I've also done

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Speaker 1: a few bit of other works with the same shirts,

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Speaker 1: so that's fine.

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Speaker 2: I just pretend that to sustainable sustainable fashion.

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Speaker 1: Absolutely. Anyway back to your main question though, what is

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Speaker 1: my role? So formally, I'm going to call it HP

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Speaker 1: hype guy, but also product expert for consumer products. So

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Speaker 1: whenever you go into a retail store, you go online,

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Speaker 1: you see HP products, whether it be our HP laptops

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Speaker 1: and premium, our own gaming laptops, polyhead sets, Hyperrex for gaming,

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Speaker 1: all of the above pattern pending no, I'm just.

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Speaker 2: Like, where are they? This is like literally an accident

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Speaker 2: that we both turned out with ours.

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Speaker 1: I mean, I personally am I have a wee bit

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Speaker 1: of the tismism, so being able to walk around in

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Speaker 1: public and stuff is really hard for me. Sometimes loud

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Speaker 1: noises can be really hard, so I actually use these

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Speaker 1: to block out the world. I find it really easy

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Speaker 1: to walk around with a podcast. That way, I'm dictating

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Speaker 1: what is going through my ears rather than loud jarring noises,

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Speaker 1: and I find myself creping a lot more with my

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Speaker 1: day to day when I have noise canceling headphones on.

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Speaker 1: So that was unintentional, but here we are talking about it.

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Speaker 2: I didn't think about that use case. For me. It

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Speaker 2: was more like block out my child screaming. But you know,

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Speaker 2: multifaceted either.

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Speaker 3: Way, same end goal.

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Speaker 1: But you know what, I love that. But yeah, so

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Speaker 1: long story, short product type guy, HP person. When it

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Speaker 1: comes down to all things consumer product.

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Speaker 2: That's amazing me and you have already. I mean that

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Speaker 2: is how we met, is through you explaining and unlocking

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Speaker 2: so many benefits for me. I mean everyone knows I

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Speaker 2: try to jam too much into my life. I am

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Speaker 2: constantly I call it optimism really about time, but I

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Speaker 2: mean often to my detriment. But you have really unlocked

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Speaker 2: I had all these devices, but wasn't sort of optimizing

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Speaker 2: the way that I use them. And you've unlocked so much.

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Speaker 2: I'm so excited to have you to explain to so

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Speaker 2: many people how they can enhance their workflows. And I

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Speaker 2: mean time is our biggest commodity and the thing that

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Speaker 2: we struggle the most with. But before we get to that,

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Speaker 2: another thing that I find really important on this show

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Speaker 2: is to humanize the person behind the role as well,

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Speaker 2: because that's a really big thing. And something that's beautiful

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Speaker 2: about HP is that you weren't just introduced to me

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Speaker 2: in your role in terms of what you actually do

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Speaker 2: skills wise. It was also part of your identity in

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Speaker 2: the organization and your advocacy for inclusion in the workplace,

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Speaker 2: and also your personal journey that you've been through being

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Speaker 2: a non binary and even I mean, as everyone's heard

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Speaker 2: in the intro, your pronouns are they them? And that's

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Speaker 2: relatively unfamiliar in a lot of workplaces and for a

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Speaker 2: lot of you know, the generations who are coming through now.

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Speaker 2: So can you talk to us a little bit about

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Speaker 2: that part of your experience and yeah, how you've navigated

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Speaker 2: when you came out and how it's been embraced. Yeah.

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Speaker 1: Absolutely, So I was really lucky, Like I still feel

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Speaker 1: like I came out quite young in comparison to a

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Speaker 1: lot of other people still finding their identity. So I

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Speaker 1: came out when I was twenty one. I'm honestly so

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Speaker 1: thankful that I had I was the right time, right place. Obviously,

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Speaker 1: working at jbhi Fi definitely helped because there's a lot

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Speaker 1: of fellow queers in the environment, which made me realize, oh,

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Speaker 1: I think I'm like them. But I started up thinking

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Speaker 1: I was a lesbian, thinking you know, I just I'm queer,

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Speaker 1: but still kind of questioning myself. And then I got

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Speaker 1: to about twenty five and I met somebody that was

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Speaker 1: non binary, and they explained, you know, I don't feel

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Speaker 1: like I'm a male. I don't feel female. I maybe

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Speaker 1: a fab or assigned female at birth, but I just

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Speaker 1: don't feel like I fit into that. And so for me,

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Speaker 1: I was like, that makes so much sense.

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Speaker 2: That's for me.

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Speaker 1: I was like, oh, my gosh. That Like again, it

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Speaker 1: all comes down to there's no linear experience. It is

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Speaker 1: just you know, as you experience it, realize oh that's

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Speaker 1: an option, my gosh. And so obviously I then started

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Speaker 1: researching it to make sure, because again it all comes

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Speaker 1: back to imposter syndrome. It's one thing to say, yeah, great,

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Speaker 1: I'm that, but really you really want to solidify that

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Speaker 1: before you started announcing it to people. But for me,

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Speaker 1: as a non binary person, I am so genuinely proud

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Speaker 1: to live my truth, to live who I am, and

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Speaker 1: feel so safe and respected within my own like my

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Speaker 1: workplace people, although I do get misgendered accidentally, but people

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Speaker 1: actively try. And it is still really new, like to

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Speaker 1: understand what non binary means, and it is new to

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Speaker 1: consider they them as a pronoun and a lot of

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Speaker 1: people still as an English language, get really confused that

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Speaker 1: that's not multiple people.

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Speaker 3: Yeah, exactly.

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Speaker 1: But then my question that people is like, okay, great,

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Speaker 1: so let's just say a post person just dropped off

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Speaker 1: a package to your front door. Did they deliver the

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Speaker 1: package or did he she? And they're like, well they

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Speaker 1: did because we don't know. I'm like, job done, ye,

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Speaker 1: thank you so much.

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Speaker 3: No, I never put it that way.

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Speaker 1: Yeah, And it's just so easy to overcome that plural discussion,

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Speaker 1: but people need to be open to it, and I

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Speaker 1: think that's the hard part. They need to be open

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Speaker 1: to that discussion. And so for me within HP, like,

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Speaker 1: it's one thing to be the product type guy, but

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Speaker 1: I'm kind of lucky because I also get to alongside

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Speaker 1: a couple of other people within the business. I get

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Speaker 1: to be the trendsetter in a way to helping these

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Speaker 1: parents understand what non binary is, what being queer means

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Speaker 1: to me because my goal within HP. I'm a part

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Speaker 1: of a business resource group called the Pride Network, and

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Speaker 1: I'm also part of the Women's Impact Network, and so

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Speaker 1: my goal within HP is also to help educate because

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Speaker 1: everyone within our business is starting to have kids and

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Speaker 1: their kids are starting to grow up, and I want

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Speaker 1: them to be able to feel comfortable in having the

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Speaker 1: tough conversations so that their children feel safe to come out,

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Speaker 1: that they can have those safe conversations so that they

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Speaker 1: don't have the scenario that I kind of went through

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Speaker 1: where I didn't feel safe. I didn't know how my

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Speaker 1: parents were going to handle it. But if your parents

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Speaker 1: come up to you and say, hey, how we feel

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Speaker 1: in today? What's your pronouns? Can I just get engauge,

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Speaker 1: like what are you feeling like? Could you imagine an

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Speaker 1: environment where kids feel safe enough to do that, that

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Speaker 1: they can just live their truth and not have to

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Speaker 1: question or even come out like I think that that

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Speaker 1: would just be such a beautiful environment. And HP is

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Speaker 1: a really great start because they are so what's the word,

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Speaker 1: They're so passionate about people living their truth and feeling

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Speaker 1: confident and comfortable. So yeah, I'm really really thankful that

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Speaker 1: I have the ability to do that.

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Speaker 2: I think it really does come back to that similar

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Speaker 2: parallel message of you can't step into something or a

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Speaker 2: part of your identity or a role professionally or a

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Speaker 2: label personally unless you've seen someone else do it, and

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Speaker 2: someone has to be the brave person to do it

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Speaker 2: first and navigate all the hard bits. There's so many

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Speaker 2: hard bits to be the example to show, you know,

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Speaker 2: younger generations, it's okay, this is what you might face,

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Speaker 2: but these are the good parts, and these are you know,

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Speaker 2: these are the way you can have these conversations. And

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Speaker 2: you're doing just such an incredible job kind of incorporating

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Speaker 2: both your personal life and your professional life into this

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Speaker 2: one beautiful role modeling. I mean, it's really powerful. Can

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Speaker 2: make me cry over, yesad of it. Oh, I think

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Speaker 2: you appreciate I really appreciate that.

436
00:19:55,280 --> 00:19:57,560
Speaker 1: I'm so proud. I'm genuinely so proud, especially when my

437
00:19:57,640 --> 00:19:59,119
Speaker 1: mum I called my mom and like, hey, I did

438
00:19:59,160 --> 00:20:01,200
Speaker 1: this today, You're proud of you. I'm like, thank you

439
00:20:01,240 --> 00:20:04,160
Speaker 1: for putting that in my pot later, so that it's

440
00:20:04,160 --> 00:20:07,280
Speaker 1: honestly it's it's genuinely so fulfilling in so many different avenues.

441
00:20:07,400 --> 00:20:09,840
Speaker 2: Yeah, and it's interesting that I think there is such

442
00:20:09,880 --> 00:20:13,600
Speaker 2: a fear around people saying the wrong thing often. I

443
00:20:13,640 --> 00:20:15,920
Speaker 2: mean there is like the small minority in society who

444
00:20:16,000 --> 00:20:20,000
Speaker 2: are not you know, on the page and will not

445
00:20:20,040 --> 00:20:21,920
Speaker 2: necessarily have the kindest things to say. But I think

446
00:20:21,920 --> 00:20:25,480
Speaker 2: for the most part people are if they misstep, it's

447
00:20:25,520 --> 00:20:29,840
Speaker 2: more because they're so scared about offending or being politically correct.

448
00:20:29,880 --> 00:20:32,280
Speaker 2: And I think it's really lovely that you have such

449
00:20:32,320 --> 00:20:35,320
Speaker 2: a patience to be like if you're trying, it doesn't

450
00:20:35,320 --> 00:20:37,560
Speaker 2: matter if you miss gender me because if you're open

451
00:20:37,600 --> 00:20:40,600
Speaker 2: to me helping you to, you know, do it the

452
00:20:40,640 --> 00:20:42,840
Speaker 2: right way. Then it's like, I think it's this fear

453
00:20:42,920 --> 00:20:44,840
Speaker 2: that's creating a lot of difficulty.

454
00:20:45,240 --> 00:20:47,280
Speaker 1: And if I could leave one message for that, like

455
00:20:47,600 --> 00:20:50,720
Speaker 1: don't hesitate, like try just just give it a red

456
00:20:50,760 --> 00:20:52,280
Speaker 1: hot go It's okay if you mess up.

457
00:20:52,440 --> 00:20:52,920
Speaker 2: Yeah.

458
00:20:52,760 --> 00:20:55,400
Speaker 1: The important thing is if, for instance, as I mentioned,

459
00:20:55,520 --> 00:20:57,560
Speaker 1: they them is my pronouns, if you call me she,

460
00:20:57,960 --> 00:21:00,159
Speaker 1: that's okay, just don't harbor on it, because if you

461
00:21:00,200 --> 00:21:02,119
Speaker 1: apologize and you harbor on it, it makes it awkward

462
00:21:02,119 --> 00:21:02,600
Speaker 1: for all of us.

463
00:21:02,720 --> 00:21:03,920
Speaker 2: Yeah, you just say she.

464
00:21:04,359 --> 00:21:06,720
Speaker 1: I mean, they move on. I'm not even gonna say anything,

465
00:21:06,720 --> 00:21:08,080
Speaker 1: if anything when it come up to you afterwards and

466
00:21:08,119 --> 00:21:12,160
Speaker 1: say thank you so much for trying. Yeah, like it's okay. Yeah, genuinely,

467
00:21:12,240 --> 00:21:14,520
Speaker 1: it makes my heart happier to see people trying then

468
00:21:14,600 --> 00:21:15,760
Speaker 1: not even give it a go.

469
00:21:16,000 --> 00:21:16,200
Speaker 2: Yeah.

470
00:21:16,240 --> 00:21:18,439
Speaker 1: And if you're really anxious and you know somebody that

471
00:21:18,600 --> 00:21:21,040
Speaker 1: their pronouns have changed from what you're used to, just

472
00:21:21,119 --> 00:21:25,080
Speaker 1: use their name. Yeah, it's really not hard. Yeah, so's

473
00:21:25,160 --> 00:21:27,520
Speaker 1: There's so many different different ways that you can approach

474
00:21:27,560 --> 00:21:31,160
Speaker 1: these things, but to give somebody the time of day, honestly,

475
00:21:31,200 --> 00:21:34,760
Speaker 1: I promise you that person will go home feeling elated and.

476
00:21:34,640 --> 00:21:35,280
Speaker 2: That you've tried.

477
00:21:35,520 --> 00:21:37,679
Speaker 1: Literally, Yeah, it makes my I will go home to

478
00:21:37,720 --> 00:21:40,760
Speaker 1: my partner like I have beautiful souls like Chloe or

479
00:21:41,320 --> 00:21:44,080
Speaker 1: like someone named Kat within my business who will literally

480
00:21:44,160 --> 00:21:46,280
Speaker 1: go out of their way and will correct themselves, and

481
00:21:46,280 --> 00:21:48,200
Speaker 1: I'll go home like this happened today when I talk

482
00:21:48,200 --> 00:21:50,439
Speaker 1: to my partner and she just has like the biggest

483
00:21:50,440 --> 00:21:53,080
Speaker 1: smile because again, we're just so appreciative that there are

484
00:21:53,119 --> 00:21:55,440
Speaker 1: people in our lives that care enough to try.

485
00:21:56,040 --> 00:21:59,280
Speaker 2: Oh that's beautiful, and I think, yeah, fear is an

486
00:21:59,280 --> 00:22:02,400
Speaker 2: emotion that does withhold us from a lot of things,

487
00:22:02,400 --> 00:22:07,240
Speaker 2: so in a complete pivot, but also similar similar vein

488
00:22:07,320 --> 00:22:10,920
Speaker 2: of that kind of fear. Another area that I've learned

489
00:22:10,920 --> 00:22:13,520
Speaker 2: a lot from your is AI, and that is a

490
00:22:13,560 --> 00:22:16,359
Speaker 2: topic of our conversation today because there's so much I mean,

491
00:22:16,400 --> 00:22:19,840
Speaker 2: I feel like I've gone from hearing about it constantly

492
00:22:19,960 --> 00:22:22,440
Speaker 2: but knowing nothing about how it works, just suddenly using

493
00:22:22,480 --> 00:22:25,440
Speaker 2: it every day, but my understanding of it. I use

494
00:22:25,480 --> 00:22:27,560
Speaker 2: it without fully understanding how it's working. And I think

495
00:22:27,600 --> 00:22:30,760
Speaker 2: all of us have been through that process of it's

496
00:22:30,800 --> 00:22:34,000
Speaker 2: now in our lies everywhere, but our brain's ability to

497
00:22:34,520 --> 00:22:37,679
Speaker 2: catch up with what it's doing has lagged. And you

498
00:22:37,800 --> 00:22:39,680
Speaker 2: have explained a lot of things to me. You've got

499
00:22:39,680 --> 00:22:43,919
Speaker 2: this incredible ability to distill the hectic science and techy

500
00:22:44,119 --> 00:22:49,120
Speaker 2: explanations into like a lay person explanation. But I think

501
00:22:49,119 --> 00:22:51,040
Speaker 2: there's a lot of fear and misinformation still about how

502
00:22:51,040 --> 00:22:53,720
Speaker 2: it's going to take over our lives. So can you

503
00:22:53,840 --> 00:22:58,639
Speaker 2: start by debunking a few of the biggest misconceptions that

504
00:22:58,720 --> 00:23:01,159
Speaker 2: we have, because I think fear is the first place

505
00:23:01,680 --> 00:23:04,000
Speaker 2: that people go before they sort of they have to

506
00:23:04,000 --> 00:23:06,199
Speaker 2: get over that to then go But look at all

507
00:23:06,200 --> 00:23:08,000
Speaker 2: the amazing things that can do, Look at how it

508
00:23:08,040 --> 00:23:10,560
Speaker 2: can change our lives. So yeah, maybe start with some

509
00:23:10,600 --> 00:23:11,880
Speaker 2: of the things we might have heard in the media,

510
00:23:11,960 --> 00:23:13,520
Speaker 2: like robots are going to take out of our lives

511
00:23:13,520 --> 00:23:14,080
Speaker 2: by tomorrow.

512
00:23:14,160 --> 00:23:16,879
Speaker 1: I like, yeah, was it. They're going to control our lives,

513
00:23:16,920 --> 00:23:18,520
Speaker 1: They're going to take our jobs, They're going to do

514
00:23:18,560 --> 00:23:20,199
Speaker 1: all of these things. But the problem is, have you

515
00:23:20,280 --> 00:23:23,520
Speaker 1: seen the AI renders of images with people with seven

516
00:23:23,560 --> 00:23:27,080
Speaker 1: fingersally just evoke to you about that, referring back to

517
00:23:27,119 --> 00:23:30,320
Speaker 1: your to your husband in that amazing video you did. Again,

518
00:23:30,400 --> 00:23:32,760
Speaker 1: it's never going to be perfect because AI is only

519
00:23:32,840 --> 00:23:36,920
Speaker 1: as smart as the people creating or prompting. So ultimately,

520
00:23:37,000 --> 00:23:39,280
Speaker 1: it's not going to take our jobs. It's not smart enough.

521
00:23:39,560 --> 00:23:41,159
Speaker 1: Even if you were to get it to d like,

522
00:23:41,320 --> 00:23:43,840
Speaker 1: for instance, we give you achine, say hey, here's the

523
00:23:43,880 --> 00:23:46,439
Speaker 1: brief for today. You can ask it to read the brief,

524
00:23:46,480 --> 00:23:48,359
Speaker 1: but it's still not going to be accurate without the

525
00:23:48,440 --> 00:23:51,160
Speaker 1: right prompting of asking give me a brief. I need

526
00:23:51,200 --> 00:23:53,720
Speaker 1: to know you know, A, B and C specifics on

527
00:23:53,880 --> 00:23:55,920
Speaker 1: what is the actual key takeaways? What do I need

528
00:23:55,960 --> 00:23:58,000
Speaker 1: from this? What do I need from this? If you're

529
00:23:58,040 --> 00:24:01,720
Speaker 1: not specific in your requests of the AI to analyze.

530
00:24:02,000 --> 00:24:04,240
Speaker 1: It's going to be extremely confused. It's not going to know,

531
00:24:04,400 --> 00:24:06,439
Speaker 1: and it's still yeah, it's using the clouds, so in

532
00:24:06,440 --> 00:24:08,840
Speaker 1: other words, it's up and the never never using everyone

533
00:24:08,840 --> 00:24:11,040
Speaker 1: else's brains to kind of give you a result. But

534
00:24:11,119 --> 00:24:15,360
Speaker 1: it's still using millions and millions of points of data

535
00:24:15,400 --> 00:24:18,600
Speaker 1: to try and assume what you want. So it's only

536
00:24:18,640 --> 00:24:21,560
Speaker 1: so smart. So really it's Yeah, it's some of the

537
00:24:21,600 --> 00:24:24,920
Speaker 1: greatest minds put into one piece, but ultimately it's still

538
00:24:25,000 --> 00:24:26,600
Speaker 1: just as important for you to make sure that you're

539
00:24:26,640 --> 00:24:27,480
Speaker 1: asking the right things.

540
00:24:27,680 --> 00:24:28,040
Speaker 2: Yeah.

541
00:24:28,080 --> 00:24:30,320
Speaker 1: So no, it's not going to take our jobs. Yeah,

542
00:24:30,359 --> 00:24:31,720
Speaker 1: it's going to make our lives a hell of a

543
00:24:31,800 --> 00:24:34,199
Speaker 1: lot easier. And I find it funny because people are

544
00:24:34,280 --> 00:24:36,359
Speaker 1: so scared of AI. But do you use Google Home,

545
00:24:36,440 --> 00:24:40,320
Speaker 1: do you use Siri? Do you use Amazon? Like in

546
00:24:40,359 --> 00:24:42,000
Speaker 1: the morning, I'm like, hey, can you set a timer

547
00:24:42,040 --> 00:24:43,800
Speaker 1: for this please and thank you just in case there

548
00:24:43,800 --> 00:24:46,359
Speaker 1: is an uprise. I want to back myself, but you

549
00:24:46,400 --> 00:24:50,119
Speaker 1: know that's just me seeing a lot of horror movies.

550
00:24:50,440 --> 00:24:54,320
Speaker 1: But ultimately I really don't see it being a problem.

551
00:24:54,359 --> 00:24:56,040
Speaker 1: We use it in our day to day lives without

552
00:24:56,080 --> 00:24:58,879
Speaker 1: even realizing. So I think it's really just use it

553
00:24:58,880 --> 00:25:00,560
Speaker 1: to your advantage. If you don't I want to use it,

554
00:25:00,600 --> 00:25:02,600
Speaker 1: and you don't want to adopt AI, that's fine, but

555
00:25:02,640 --> 00:25:04,800
Speaker 1: I promise you it'll actually make you more efficient. It

556
00:25:04,800 --> 00:25:07,000
Speaker 1: will make your life so much easier if you give

557
00:25:07,040 --> 00:25:09,720
Speaker 1: it a chance. But you've got to be willing again

558
00:25:09,840 --> 00:25:12,320
Speaker 1: to try. You've got a willing be willing to actually

559
00:25:12,400 --> 00:25:14,159
Speaker 1: research what it is that you want out of this

560
00:25:14,240 --> 00:25:16,320
Speaker 1: AI and how it is going to make your life easier,

561
00:25:16,680 --> 00:25:20,800
Speaker 1: which is a fantastic tool, especially within our HP products

562
00:25:21,000 --> 00:25:23,439
Speaker 1: because obviously I'm here to talk about HP I'm passionate

563
00:25:23,480 --> 00:25:27,240
Speaker 1: about HP. We have our own HPAI companion where you

564
00:25:27,280 --> 00:25:29,520
Speaker 1: can actually draw all these questions and make your life

565
00:25:29,560 --> 00:25:32,720
Speaker 1: easier and make yourself more efficient. Because you mentioned earlier

566
00:25:32,760 --> 00:25:36,640
Speaker 1: like you are somebody that is very precious of your time.

567
00:25:36,680 --> 00:25:38,919
Speaker 1: However you probably say yes to a thousand things like

568
00:25:38,960 --> 00:25:41,520
Speaker 1: I've seen your podcast, I've seen your social media. Where

569
00:25:41,560 --> 00:25:42,800
Speaker 1: you get the time is beyond me.

570
00:25:43,200 --> 00:25:44,320
Speaker 3: We as people.

571
00:25:44,760 --> 00:25:47,479
Speaker 1: There's this misconception back in the day when you're working

572
00:25:47,520 --> 00:25:50,000
Speaker 1: that if you put in extra hours you're valued, you're

573
00:25:50,040 --> 00:25:54,200
Speaker 1: going to be irreplaceable. But ultimately that's not the case.

574
00:25:54,280 --> 00:25:56,240
Speaker 1: You need to value your time. You spend more time

575
00:25:56,280 --> 00:25:58,639
Speaker 1: with your work colleagues than you do with the people

576
00:25:58,680 --> 00:26:01,480
Speaker 1: you choose to love, your partners, your kids, whatever it

577
00:26:01,480 --> 00:26:03,520
Speaker 1: may be. So if you can get time back using

578
00:26:03,560 --> 00:26:05,600
Speaker 1: AI so you can spend it with the people you love,

579
00:26:05,840 --> 00:26:06,600
Speaker 1: why wouldn't you.

580
00:26:06,680 --> 00:26:09,359
Speaker 2: One hundred percent? And I think, yeah, I if I

581
00:26:09,440 --> 00:26:11,879
Speaker 2: had not so much fear, but if I had like

582
00:26:11,920 --> 00:26:15,280
Speaker 2: confusion or any hesitation, as soon as I saw that

583
00:26:15,800 --> 00:26:19,320
Speaker 2: time is my most precious commodity of any other value

584
00:26:19,320 --> 00:26:21,520
Speaker 2: in my life. If it helps me get more of

585
00:26:21,560 --> 00:26:24,320
Speaker 2: that and do everything I do the same button more efficiently,

586
00:26:25,080 --> 00:26:25,840
Speaker 2: Like why wouldn't you?

587
00:26:26,080 --> 00:26:28,600
Speaker 1: Ually money comes and goes, times gone.

588
00:26:28,440 --> 00:26:30,280
Speaker 2: You can never make that back. Yeah, but you can

589
00:26:30,320 --> 00:26:33,520
Speaker 2: optimize it. And I think that's really important. The kind

590
00:26:33,520 --> 00:26:36,080
Speaker 2: of connected fear with it taking over our lives is

591
00:26:36,119 --> 00:26:39,640
Speaker 2: whether or not it can I think there's a two

592
00:26:39,640 --> 00:26:41,680
Speaker 2: concepts that they're kind of similar. Can it make the

593
00:26:41,720 --> 00:26:46,200
Speaker 2: same decisions as a human brain? And can it be autonomous?

594
00:26:46,240 --> 00:26:48,760
Speaker 2: And I think the big fear around saying please and

595
00:26:48,760 --> 00:26:50,640
Speaker 2: thank you, that's been really big. I want to ask

596
00:26:50,680 --> 00:26:53,479
Speaker 2: you that that's been a big thing in the news recently,

597
00:26:53,640 --> 00:26:56,040
Speaker 2: should you say please and thank you? Because can AI

598
00:26:56,359 --> 00:26:59,639
Speaker 2: make decisions without you prompting it? And I think the

599
00:26:59,680 --> 00:27:02,679
Speaker 2: answer is no, we still need human prompts. But I

600
00:27:02,720 --> 00:27:06,320
Speaker 2: think the fear is that they're bubbling away. Your AI

601
00:27:06,400 --> 00:27:08,560
Speaker 2: is bubbling away like judging you and getting ready to

602
00:27:08,600 --> 00:27:11,040
Speaker 2: take over your life. Explained to us why that's not

603
00:27:11,080 --> 00:27:14,240
Speaker 2: a concern, but why you might still say please and

604
00:27:14,359 --> 00:27:14,800
Speaker 2: thank you.

605
00:27:15,080 --> 00:27:19,120
Speaker 1: I mean, let's be real. AI is still in its

606
00:27:19,119 --> 00:27:22,480
Speaker 1: own state, kind of like a machine. It's not something

607
00:27:22,520 --> 00:27:24,880
Speaker 1: that has a brain that thinks. So even saying please

608
00:27:24,880 --> 00:27:27,080
Speaker 1: and thank you, that's just a word to AI. It

609
00:27:27,119 --> 00:27:30,719
Speaker 1: doesn't actually have the emotion behind it. So that's just

610
00:27:30,880 --> 00:27:32,320
Speaker 1: something I do just in case.

611
00:27:32,400 --> 00:27:35,240
Speaker 2: But realistically, I don't.

612
00:27:35,560 --> 00:27:37,920
Speaker 1: Look, this is my own personal opinion, but I really

613
00:27:37,920 --> 00:27:40,720
Speaker 1: don't think it's gonna uprise and come for me. But

614
00:27:40,800 --> 00:27:45,280
Speaker 1: I'm still backing myself. Yeah, but from like a standpoint

615
00:27:45,320 --> 00:27:48,960
Speaker 1: of uprising and all of the fear mongering that we have, Look,

616
00:27:49,320 --> 00:27:51,960
Speaker 1: people are the ones that are creating these AI bots,

617
00:27:52,000 --> 00:27:53,880
Speaker 1: they're the ones that are teaching it, they're the ones

618
00:27:53,920 --> 00:27:56,840
Speaker 1: that are giving it reference points. So if there are

619
00:27:56,920 --> 00:28:00,199
Speaker 1: any issues regarding that, these people can switch them off

620
00:28:00,240 --> 00:28:02,800
Speaker 1: in a heartbeat, Like there are still some rigorous testing

621
00:28:02,800 --> 00:28:05,040
Speaker 1: because there are people that are so curious, Like as people,

622
00:28:05,080 --> 00:28:07,840
Speaker 1: we are naturally curious to see the what if. So

623
00:28:07,880 --> 00:28:10,960
Speaker 1: there's probably people out there trying to build something, but

624
00:28:11,119 --> 00:28:13,919
Speaker 1: they're also still in control. They're still controlling that they

625
00:28:13,920 --> 00:28:16,720
Speaker 1: can switch it off because AI needs power. If you

626
00:28:16,720 --> 00:28:18,520
Speaker 1: don't give it, if you just flick the switch off

627
00:28:18,520 --> 00:28:24,320
Speaker 1: and well, ultimately gone, I keep going. Yeah, again, that's

628
00:28:24,359 --> 00:28:26,320
Speaker 1: that's my own personal opinion. Like maybe if they're I

629
00:28:26,359 --> 00:28:29,640
Speaker 1: don't know, hooking it up to sustainable energy like Thula power,

630
00:28:29,680 --> 00:28:32,399
Speaker 1: who knows what's going to happen. But ultimately I don't

631
00:28:32,560 --> 00:28:36,239
Speaker 1: personally see that issue coming along, at least not in

632
00:28:36,240 --> 00:28:38,920
Speaker 1: my generation. Who knows what the future holds because people

633
00:28:38,920 --> 00:28:42,120
Speaker 1: are curious. We've all seen horror movies. You just you

634
00:28:42,200 --> 00:28:44,800
Speaker 1: don't know. But I think people need to really move

635
00:28:44,840 --> 00:28:46,920
Speaker 1: on from that fear mongering and that scare tactic and

636
00:28:47,040 --> 00:28:50,400
Speaker 1: just take advantage of trying to get their time back. Yeah,

637
00:28:50,440 --> 00:28:52,680
Speaker 1: that is what we need to value more because once

638
00:28:52,720 --> 00:28:56,160
Speaker 1: it's gone, it's gone. So like you yourself, you have

639
00:28:56,200 --> 00:28:58,240
Speaker 1: such a young family, why would you not want to

640
00:28:58,240 --> 00:29:00,320
Speaker 1: go spend time with your kids and watch them grow

641
00:29:00,440 --> 00:29:01,960
Speaker 1: up and not miss those milestones.

642
00:29:02,400 --> 00:29:04,680
Speaker 2: Yeah. Absolutely, and that's I mean, that is my next

643
00:29:04,760 --> 00:29:07,680
Speaker 2: question for you is what are some of the biggest ways,

644
00:29:07,760 --> 00:29:12,080
Speaker 2: particularly for people who haven't yet kind of had that

645
00:29:12,240 --> 00:29:15,440
Speaker 2: like aha moment where it's clicked over of this literally

646
00:29:15,560 --> 00:29:18,480
Speaker 2: is the way like tangible examples of things you use

647
00:29:18,560 --> 00:29:21,440
Speaker 2: that help you work smarter, So our listeners can adopt

648
00:29:21,760 --> 00:29:25,040
Speaker 2: without needing to understand AI. You can use hp AI

649
00:29:25,080 --> 00:29:27,960
Speaker 2: companion without needing to know how it works. You literally

650
00:29:28,040 --> 00:29:30,560
Speaker 2: open the window and type in a question and it'll

651
00:29:30,600 --> 00:29:33,240
Speaker 2: answer it for you. Literally, like what are some tangible

652
00:29:33,240 --> 00:29:35,480
Speaker 2: examples of things people can introduce into their lives.

653
00:29:35,520 --> 00:29:37,920
Speaker 1: So obviously, as I mentioned, I have a fantasia. I

654
00:29:37,960 --> 00:29:41,080
Speaker 1: can't visualize anything, but I can type things, and I

655
00:29:41,080 --> 00:29:43,080
Speaker 1: can ask questions, and I can ask it to generate

656
00:29:43,120 --> 00:29:45,360
Speaker 1: something for me. So now I have my own version

657
00:29:45,560 --> 00:29:48,480
Speaker 1: of what you visualize. AI is such a good tool

658
00:29:48,600 --> 00:29:52,840
Speaker 1: from a disability and even just like an advocacy standpoint,

659
00:29:52,880 --> 00:29:55,040
Speaker 1: because there's if there's stuff that's missing that you can't

660
00:29:55,040 --> 00:29:56,680
Speaker 1: have that can fill in some of the gaps for you.

661
00:29:56,760 --> 00:29:58,960
Speaker 2: I didn't even think of it. Yeah, you can't picture it,

662
00:29:59,000 --> 00:30:01,640
Speaker 2: so you type in the description and a picture come

663
00:30:01,680 --> 00:30:02,200
Speaker 2: out and I'm.

664
00:30:02,040 --> 00:30:04,120
Speaker 1: Like, yeah, can you please create this? So at the moment,

665
00:30:04,240 --> 00:30:07,480
Speaker 1: I for my role, I do a lot of conferences

666
00:30:07,520 --> 00:30:09,720
Speaker 1: and I like to create boots and I'm really creative

667
00:30:09,800 --> 00:30:11,160
Speaker 1: in what I want to do, but I can never

668
00:30:11,240 --> 00:30:13,400
Speaker 1: picture it, and then trying to explain it to my

669
00:30:13,440 --> 00:30:15,800
Speaker 1: colleagues to say this is what I want, like my

670
00:30:15,800 --> 00:30:17,560
Speaker 1: poor colleagues to Chear has to deal with a lot

671
00:30:17,560 --> 00:30:20,160
Speaker 1: of my crap and a lot of the times she's like,

672
00:30:20,240 --> 00:30:22,080
Speaker 1: I don't know what you're saying. Was So I use

673
00:30:22,120 --> 00:30:25,200
Speaker 1: AI to kind of create a visualization so that I

674
00:30:25,200 --> 00:30:28,240
Speaker 1: can actually present that back because my descriptions aren't great

675
00:30:28,440 --> 00:30:30,360
Speaker 1: and I know that even in my house at the moment,

676
00:30:30,400 --> 00:30:32,880
Speaker 1: my partner is sick of my stuff. My idea is

677
00:30:32,960 --> 00:30:35,560
Speaker 1: because I can't picture it. But I'm like, you know what,

678
00:30:35,640 --> 00:30:37,520
Speaker 1: that TV cabinet looks really good, and she's like that

679
00:30:37,560 --> 00:30:39,200
Speaker 1: will clash with the colors of the house, but I

680
00:30:39,240 --> 00:30:41,680
Speaker 1: can't picture it. I think it looks great, but I

681
00:30:41,720 --> 00:30:45,480
Speaker 1: see it as a single item, not multiple. But we

682
00:30:45,560 --> 00:30:48,520
Speaker 1: actually used AI where we were able to incorporate the

683
00:30:48,520 --> 00:30:50,960
Speaker 1: photo image in a three D created a three D

684
00:30:51,040 --> 00:30:54,280
Speaker 1: rendering of our home, use the three D rendering of

685
00:30:54,280 --> 00:30:56,440
Speaker 1: that particular product put in the laund room, only for

686
00:30:56,440 --> 00:31:01,080
Speaker 1: me to realize, yeah, I was wrong, and I'm very

687
00:31:01,560 --> 00:31:03,640
Speaker 1: very aware that I am not going to be correct

688
00:31:03,640 --> 00:31:04,280
Speaker 1: all of the time.

689
00:31:04,600 --> 00:31:07,240
Speaker 2: But for instance, like what is that like? I don't

690
00:31:07,280 --> 00:31:09,440
Speaker 2: know what that's like because I'm not right all the time.

691
00:31:09,680 --> 00:31:13,160
Speaker 1: I can't relate. Unless it's work related, then I am

692
00:31:13,160 --> 00:31:17,680
Speaker 1: a genius if anyone else. No one questioned me, But yeah,

693
00:31:17,800 --> 00:31:19,800
Speaker 1: I think when it comes down to it, like drawing

694
00:31:19,840 --> 00:31:21,800
Speaker 1: it back to product and stuff. So for me in

695
00:31:21,800 --> 00:31:23,800
Speaker 1: my personal life, that's one way. But obviously from a

696
00:31:23,840 --> 00:31:27,320
Speaker 1: work perspective, asking my AI bot on my laptop so

697
00:31:27,440 --> 00:31:30,200
Speaker 1: AI companion to actually create those renderings for me, I

698
00:31:30,240 --> 00:31:33,040
Speaker 1: can also utilize the AI companion within the PC to

699
00:31:33,040 --> 00:31:36,440
Speaker 1: actually optimize my computer. So then the role of having

700
00:31:36,440 --> 00:31:38,640
Speaker 1: to worry about technicians kind of goes out the door

701
00:31:38,680 --> 00:31:42,520
Speaker 1: because the PC can actually adopt how you use your

702
00:31:42,520 --> 00:31:45,640
Speaker 1: PC for yourself, so you don't have to worry constantly

703
00:31:45,680 --> 00:31:48,239
Speaker 1: about going into the bios or breaking the laptop. The

704
00:31:48,240 --> 00:31:50,120
Speaker 1: software does it all for you. Oh my god, that's

705
00:31:50,160 --> 00:31:52,640
Speaker 1: so so cool, right, And then you've got the efficiency piece.

706
00:31:52,680 --> 00:31:54,800
Speaker 1: Like everybody wants a laptop that's going to last days.

707
00:31:55,120 --> 00:31:56,760
Speaker 1: What if I told you that actually exists. Like the

708
00:31:56,800 --> 00:31:58,880
Speaker 1: laptops that we're currently using, you look at like twenty

709
00:31:58,920 --> 00:32:02,480
Speaker 1: something hours of battery life. Because AI companion is able

710
00:32:02,520 --> 00:32:05,640
Speaker 1: to actually switch off specific things, It's able to look

711
00:32:05,640 --> 00:32:08,080
Speaker 1: at what the RAM is being utilized for, shrink it down,

712
00:32:08,320 --> 00:32:10,240
Speaker 1: lower the demand so that it can actually tailor to

713
00:32:10,280 --> 00:32:12,120
Speaker 1: what you're actually using it for. To give you that

714
00:32:12,160 --> 00:32:15,560
Speaker 1: all day battery life. You close the lid, it automatically

715
00:32:15,600 --> 00:32:17,760
Speaker 1: adopts again because you have HP smarts since So you

716
00:32:17,800 --> 00:32:20,080
Speaker 1: close the lid and you put in your backpack. Four

717
00:32:20,160 --> 00:32:21,880
Speaker 1: days later, you realize you forgot to turn it off

718
00:32:21,920 --> 00:32:24,120
Speaker 1: and it's only dropped by ten percent. Like, there's so

719
00:32:24,240 --> 00:32:26,720
Speaker 1: many different things that you can utilize without even needing

720
00:32:26,760 --> 00:32:28,960
Speaker 1: to do anything. And I think that that, within itself,

721
00:32:29,040 --> 00:32:31,280
Speaker 1: is one tickbox. You click the button, done and dusted.

722
00:32:31,320 --> 00:32:33,320
Speaker 1: You don't have to think about it anymore. And a

723
00:32:33,320 --> 00:32:34,800
Speaker 1: lot of the times people are just scared that they're

724
00:32:34,800 --> 00:32:35,400
Speaker 1: going to break it.

725
00:32:35,640 --> 00:32:38,680
Speaker 2: Okay, Well, that actually highlights another thing that confuses a

726
00:32:38,680 --> 00:32:41,480
Speaker 2: lot of people about AI, and that confused me before

727
00:32:41,600 --> 00:32:44,520
Speaker 2: you explained it recently, So I think most people when

728
00:32:44,520 --> 00:32:47,240
Speaker 2: they think of AI are thinking of the AI bot

729
00:32:47,400 --> 00:32:49,760
Speaker 2: or the best friend in a search engine that you

730
00:32:49,840 --> 00:32:52,360
Speaker 2: can pretty much ask anything. You type a question in

731
00:32:52,400 --> 00:32:55,600
Speaker 2: a search box and it answers your questions or creates

732
00:32:55,600 --> 00:32:57,600
Speaker 2: whatever you want it to create. A lot of listeners

733
00:32:57,640 --> 00:33:00,360
Speaker 2: will have used chat GPT for that. We both have

734
00:33:00,520 --> 00:33:02,720
Speaker 2: our hp omnibox in front of us, and they have

735
00:33:02,800 --> 00:33:06,920
Speaker 2: an inbuilt version called HPAI Companion that we've been talking about.

736
00:33:07,360 --> 00:33:10,760
Speaker 2: I use this daily for things like asking it to

737
00:33:10,760 --> 00:33:13,600
Speaker 2: write the podcast intros for me. So I'll literally type

738
00:33:13,600 --> 00:33:16,520
Speaker 2: in write a brief introduction and bio for Lauren Dennett,

739
00:33:16,520 --> 00:33:18,680
Speaker 2: and it will search the entire Internet and spit out

740
00:33:18,720 --> 00:33:21,320
Speaker 2: within seconds the text for me to then tweak and

741
00:33:21,360 --> 00:33:23,920
Speaker 2: put into my own words. But that saves so much time.

742
00:33:24,520 --> 00:33:27,239
Speaker 2: Or I'll say, list the main misconceptions people might have

743
00:33:27,280 --> 00:33:29,360
Speaker 2: about AI, and that's how I build the questions for

744
00:33:29,440 --> 00:33:31,760
Speaker 2: this episode instead of, you know, spending time thinking it

745
00:33:31,840 --> 00:33:34,960
Speaker 2: up in my own brain first. But then you've been

746
00:33:35,000 --> 00:33:39,640
Speaker 2: talking about optimizing battery life and AI working like an

747
00:33:39,640 --> 00:33:42,880
Speaker 2: inbuilt technician and switching things on and off without you

748
00:33:42,960 --> 00:33:46,160
Speaker 2: even asking it to. So when you talk about that

749
00:33:46,360 --> 00:33:49,840
Speaker 2: kind of function like AI optimizing our devices or our

750
00:33:49,920 --> 00:33:53,120
Speaker 2: apps without us prompting it. What does that mean? Like,

751
00:33:53,200 --> 00:33:56,000
Speaker 2: what is the difference between those functions?

752
00:33:56,160 --> 00:33:57,880
Speaker 1: A lot of the time you say AI and people

753
00:33:57,880 --> 00:34:01,760
Speaker 1: automatically go straight to chat. GPT and Microsoft have obviously

754
00:34:01,760 --> 00:34:05,040
Speaker 1: started bringing in copilot and they're starting to be that

755
00:34:05,160 --> 00:34:08,800
Speaker 1: next demand. But for us at HP, we have HPAI Companion,

756
00:34:08,840 --> 00:34:11,239
Speaker 1: which is only on our units. But to draw back

757
00:34:11,239 --> 00:34:13,560
Speaker 1: to your question around like what is the difference. So

758
00:34:14,120 --> 00:34:16,600
Speaker 1: for an overarching thing, you've got to look at how

759
00:34:16,640 --> 00:34:20,960
Speaker 1: PCs are built, right, So ordinarily we're all familiar with CPUs, GPUs.

760
00:34:21,480 --> 00:34:23,480
Speaker 1: Now with AI, we have a thing called the NPU,

761
00:34:23,520 --> 00:34:26,880
Speaker 1: which is a neural processing unit. So it's extra jargon

762
00:34:26,960 --> 00:34:28,839
Speaker 1: that no one ever wants to know about. So if

763
00:34:28,840 --> 00:34:30,720
Speaker 1: I would have bring it to you in a really

764
00:34:30,800 --> 00:34:33,920
Speaker 1: like simplistic way that most people will understand, You've got

765
00:34:33,960 --> 00:34:36,120
Speaker 1: your CPU, which is the brain of the PC. You've

766
00:34:36,120 --> 00:34:39,360
Speaker 1: got your GPU which is your muscles. Now my own iteration.

767
00:34:39,440 --> 00:34:41,799
Speaker 1: So again I'm not holding HP accountable by the way

768
00:34:41,840 --> 00:34:43,400
Speaker 1: for any of this, but this is my own way

769
00:34:43,440 --> 00:34:46,120
Speaker 1: of explaining it. To make it make english or makes sense,

770
00:34:46,560 --> 00:34:49,920
Speaker 1: is by referring to the NPU as a therapist. Personally,

771
00:34:50,040 --> 00:34:52,759
Speaker 1: I love therapy. I love going to talk to my

772
00:34:52,840 --> 00:34:55,799
Speaker 1: psychologist after I've had a ripping week, or if I'm

773
00:34:55,800 --> 00:34:58,359
Speaker 1: exhausted and I just need to just absolutely brain dump

774
00:34:58,400 --> 00:35:02,120
Speaker 1: everything that's happening, then go to them. Basically, get rid

775
00:35:02,200 --> 00:35:04,720
Speaker 1: of everything, go home and feel refreshed, feel more efficient,

776
00:35:04,880 --> 00:35:08,360
Speaker 1: sleep better, not feel exhausted constantly. That is basically what

777
00:35:08,400 --> 00:35:10,160
Speaker 1: the MPU is doing for the PC when it comes

778
00:35:10,200 --> 00:35:14,880
Speaker 1: to AI driven tasks. So there are localized AI tasks

779
00:35:15,040 --> 00:35:19,680
Speaker 1: like basically using some parts of AI companion, using particular

780
00:35:19,800 --> 00:35:22,760
Speaker 1: camera tools so you know, when you open your calls

781
00:35:22,800 --> 00:35:25,239
Speaker 1: and you've got background blur on, or you might want

782
00:35:25,239 --> 00:35:27,279
Speaker 1: it to track your face because you've got ADHD and

783
00:35:27,280 --> 00:35:29,160
Speaker 1: you want the camera to just keep an eye on you.

784
00:35:29,719 --> 00:35:31,760
Speaker 1: Or you've got the creepy tool where you can basically

785
00:35:31,880 --> 00:35:34,400
Speaker 1: keep the camera on and if you blink or if

786
00:35:34,440 --> 00:35:37,480
Speaker 1: you look away, it still tracks your eyes. Freaks me out,

787
00:35:37,520 --> 00:35:39,560
Speaker 1: by the way, don't turn it on. But that is

788
00:35:39,640 --> 00:35:42,719
Speaker 1: using the NPU because it's an AI driven task. So

789
00:35:42,840 --> 00:35:45,840
Speaker 1: again it makes the PC more efficient instead of requiring

790
00:35:45,840 --> 00:35:48,280
Speaker 1: lots of power that is then reserved for the CPU

791
00:35:48,360 --> 00:35:50,200
Speaker 1: and GPU to do what it needs to do. So

792
00:35:50,680 --> 00:35:54,799
Speaker 1: brain muscles therapist. Whow that is my breakdown. But in

793
00:35:54,880 --> 00:35:58,400
Speaker 1: terms of like categorizing AI and how it can be utilized, Look,

794
00:35:58,600 --> 00:36:01,000
Speaker 1: you've got your cloud based one, which is where most

795
00:36:01,040 --> 00:36:03,600
Speaker 1: people are kind of concerned because obviously they're thinking, where's

796
00:36:03,600 --> 00:36:06,239
Speaker 1: my information going, where are my questions going? Where's all

797
00:36:06,239 --> 00:36:08,680
Speaker 1: this going? And yeah, it's sitting up here. I can't

798
00:36:08,680 --> 00:36:10,799
Speaker 1: tell you where it's going because it depends on what

799
00:36:10,920 --> 00:36:15,279
Speaker 1: you're using where it's going. Look, ultimately, no one's going

800
00:36:15,360 --> 00:36:18,080
Speaker 1: to really care where you're twenty twenty one photos from

801
00:36:18,120 --> 00:36:21,680
Speaker 1: BALI are going to be honest, But I.

802
00:36:21,600 --> 00:36:23,359
Speaker 2: Think about that all the time. One's so weird, and

803
00:36:23,360 --> 00:36:25,480
Speaker 2: I'm like, it's all your search is about seventy five

804
00:36:25,480 --> 00:36:28,680
Speaker 2: different Zuchini slice recipes, Like no one cares.

805
00:36:29,600 --> 00:36:31,359
Speaker 1: Her mind's just like, am I allergic to this?

806
00:36:32,640 --> 00:36:33,800
Speaker 3: Google adopted? Please help me?

807
00:36:33,800 --> 00:36:35,799
Speaker 2: Man? What does this mean?

808
00:36:36,840 --> 00:36:40,680
Speaker 1: Yea? So look, people post on like all of our

809
00:36:40,680 --> 00:36:43,640
Speaker 1: social media photos constantly. What makes you think that's any

810
00:36:43,640 --> 00:36:46,120
Speaker 1: different to what AI is doing with that data? So

811
00:36:46,239 --> 00:36:48,200
Speaker 1: I think we really it took us a while to

812
00:36:48,239 --> 00:36:50,479
Speaker 1: adopt social media, and I have no doubt that AI

813
00:36:50,560 --> 00:36:53,960
Speaker 1: is in a similar standpoint, so I think we'll adopt it. Inevitably,

814
00:36:54,000 --> 00:36:55,759
Speaker 1: people will start to feel more and more comfortable once

815
00:36:55,800 --> 00:36:58,960
Speaker 1: they realize the benefits of the efficiencies that are offered.

816
00:36:59,360 --> 00:37:01,480
Speaker 1: But like I said, drawing back to you've got cloud,

817
00:37:01,520 --> 00:37:04,840
Speaker 1: you've got localized version. So at the moment with AI Companion,

818
00:37:04,880 --> 00:37:07,800
Speaker 1: it's currently all cloud based, but it can use localized

819
00:37:07,840 --> 00:37:10,000
Speaker 1: information on the PC. So when you ask it questions,

820
00:37:10,040 --> 00:37:11,839
Speaker 1: it draws up, goes up here, it comes back down,

821
00:37:11,880 --> 00:37:14,359
Speaker 1: gives you the response. But there are parts of it.

822
00:37:14,440 --> 00:37:17,080
Speaker 1: So you've got three key points to AI Companion. You've

823
00:37:17,120 --> 00:37:19,799
Speaker 1: got analyzing, you've got ask it questions, and then you've

824
00:37:19,840 --> 00:37:22,839
Speaker 1: got performance. So for you specifically, you've done a lot

825
00:37:22,880 --> 00:37:25,040
Speaker 1: of like the asking, but you've also done a bit

826
00:37:25,080 --> 00:37:27,960
Speaker 1: of performance without realizing. And more importantly, you've got the

827
00:37:28,040 --> 00:37:31,439
Speaker 1: analyzed section where it allows you to have a briefing doc.

828
00:37:31,719 --> 00:37:34,279
Speaker 1: You can upload it directly to AI Companion and ask

829
00:37:34,400 --> 00:37:37,640
Speaker 1: questions of that reference point. So it's your information. It's

830
00:37:37,719 --> 00:37:40,160
Speaker 1: specifically for you. No one else is going to have

831
00:37:40,239 --> 00:37:42,920
Speaker 1: that particular file. That's your file, so you can actually

832
00:37:42,920 --> 00:37:45,680
Speaker 1: have a conversation with the AI on that file. So again,

833
00:37:45,800 --> 00:37:48,600
Speaker 1: I think it's really great from an inclusion standpoint because

834
00:37:48,640 --> 00:37:51,120
Speaker 1: AI is going to make life easier for those that

835
00:37:51,239 --> 00:37:54,879
Speaker 1: may not have the same communication abilities. They may have

836
00:37:54,960 --> 00:37:57,880
Speaker 1: ADHD and may not be able to read specific parts.

837
00:37:57,880 --> 00:38:00,000
Speaker 1: But if you can copy that and get the AI

838
00:38:00,040 --> 00:38:01,640
Speaker 1: to actually read it out loud and treat it like

839
00:38:01,640 --> 00:38:05,239
Speaker 1: a conversation or a podcast, I retain information so much

840
00:38:05,280 --> 00:38:08,920
Speaker 1: better by listening to podcasts like what you create. But

841
00:38:09,160 --> 00:38:11,759
Speaker 1: if you give me the same thing as a transcript

842
00:38:11,800 --> 00:38:13,400
Speaker 1: on a page, you better believe I'm not going to

843
00:38:13,400 --> 00:38:17,120
Speaker 1: get through that. I couldn't think of anything worse. So if, yeah,

844
00:38:17,239 --> 00:38:20,800
Speaker 1: you use tools like AI to create conversations that ordinarily

845
00:38:20,800 --> 00:38:21,040
Speaker 1: are on.

846
00:38:21,040 --> 00:38:22,600
Speaker 2: A piece of paper, why wouldn't you want to do that?

847
00:38:23,120 --> 00:38:25,680
Speaker 2: So yeah, yeah, one hundred percent. That's one of the

848
00:38:25,719 --> 00:38:27,759
Speaker 2: things that I didn't know it could do. Like I

849
00:38:27,800 --> 00:38:30,200
Speaker 2: was always just using it more like a search engine function,

850
00:38:30,360 --> 00:38:34,560
Speaker 2: and that was both AI companion on my device about

851
00:38:34,560 --> 00:38:36,480
Speaker 2: the device, but about anything. I mean, when I created

852
00:38:36,520 --> 00:38:38,560
Speaker 2: a video, I was like, make a video of my

853
00:38:38,640 --> 00:38:42,520
Speaker 2: husband and I as bears, Like it can literally do anything. Yeah,

854
00:38:42,560 --> 00:38:45,920
Speaker 2: and the same with more Yeah, cloud based like CHATDPD,

855
00:38:46,000 --> 00:38:48,000
Speaker 2: I would do the same thing, I'd ask it to

856
00:38:48,040 --> 00:38:50,080
Speaker 2: write my intros, Like, that's so time saving because I

857
00:38:50,080 --> 00:38:51,799
Speaker 2: spent so long on the wording. And even though, of

858
00:38:51,840 --> 00:38:53,680
Speaker 2: course you tailor it to your so you make edit

859
00:38:53,719 --> 00:38:56,640
Speaker 2: so it's in your own voice, starting with a block

860
00:38:56,680 --> 00:38:58,560
Speaker 2: of text is so much more useful. But what I

861
00:38:58,600 --> 00:39:01,040
Speaker 2: had never used it for until you explained analyze to

862
00:39:01,080 --> 00:39:04,320
Speaker 2: me is yeah, uploading a document and then getting AI

863
00:39:04,400 --> 00:39:06,799
Speaker 2: to analyze it for you. So for anyone who runs

864
00:39:06,800 --> 00:39:10,720
Speaker 2: a business and you need to like time consuming tasks

865
00:39:10,760 --> 00:39:15,200
Speaker 2: like uploading bank statements or statements where you're like, please

866
00:39:15,239 --> 00:39:17,319
Speaker 2: tell me how much I spent on uber eats or

867
00:39:17,320 --> 00:39:22,120
Speaker 2: like high light, don't do that, I share. But you

868
00:39:22,120 --> 00:39:24,279
Speaker 2: can literally something that you would otherwise go through line

869
00:39:24,320 --> 00:39:26,560
Speaker 2: by line yourself and add it all up. You can

870
00:39:26,760 --> 00:39:29,960
Speaker 2: upload a document and say what is the key thesis

871
00:39:29,960 --> 00:39:33,279
Speaker 2: of this article or what is the main expense that

872
00:39:33,320 --> 00:39:35,120
Speaker 2: you see coming up over and over again? Like you

873
00:39:35,160 --> 00:39:37,880
Speaker 2: can ask it to read it quickly for you and

874
00:39:37,920 --> 00:39:42,360
Speaker 2: then spit out answers. It is revolutionary. Like the time

875
00:39:42,400 --> 00:39:46,200
Speaker 2: consuming tasks and in editing, it also does things like

876
00:39:46,719 --> 00:39:49,200
Speaker 2: the way AI has really helped with podcast and video

877
00:39:49,280 --> 00:39:51,799
Speaker 2: editing is there are lots of pauses, like I have

878
00:39:52,040 --> 00:39:53,800
Speaker 2: so many yes.

879
00:39:53,800 --> 00:39:56,480
Speaker 1: Just classic silences where you're like, my brain's thinking, what

880
00:39:56,480 --> 00:39:58,479
Speaker 1: do I need to say here? I need to see

881
00:39:58,520 --> 00:40:00,360
Speaker 1: your brain ticking over want.

882
00:40:01,160 --> 00:40:04,040
Speaker 2: Arms and ahs and instead of I used to manually

883
00:40:04,080 --> 00:40:05,080
Speaker 2: go through and edit.

884
00:40:05,680 --> 00:40:06,920
Speaker 1: How many hours is that going to take you?

885
00:40:07,000 --> 00:40:09,520
Speaker 2: Like hours hours? Because you really listen to the episode

886
00:40:09,520 --> 00:40:12,040
Speaker 2: at like half speed to cut, you know, basically half

887
00:40:12,040 --> 00:40:12,839
Speaker 2: to give.

888
00:40:12,760 --> 00:40:14,640
Speaker 3: Your own voice are you oh my god? And the

889
00:40:14,680 --> 00:40:15,879
Speaker 3: guest flows for the time.

890
00:40:15,880 --> 00:40:17,799
Speaker 2: It's like killed my buzz by the end of the

891
00:40:17,800 --> 00:40:19,640
Speaker 2: episode because all I've heard is the arms and not

892
00:40:19,680 --> 00:40:22,239
Speaker 2: the actual content. But now like AI can do, there

893
00:40:22,280 --> 00:40:24,960
Speaker 2: are settings in your apps where it's like cut out

894
00:40:24,960 --> 00:40:27,439
Speaker 2: all the arms and it will just process the entire

895
00:40:27,480 --> 00:40:29,879
Speaker 2: file in like a minute and all the arms are gone.

896
00:40:29,880 --> 00:40:32,839
Speaker 2: And I'm like, why have we not all been using

897
00:40:32,880 --> 00:40:34,080
Speaker 2: these tools same changing?

898
00:40:34,080 --> 00:40:36,000
Speaker 1: And do you know what? It's kind of like the

899
00:40:36,120 --> 00:40:39,839
Speaker 1: slightly bitter part of me is mad because students get

900
00:40:39,840 --> 00:40:40,640
Speaker 1: to benefit from this.

901
00:40:40,960 --> 00:40:43,320
Speaker 3: Yes, the gen zs, the gen whatever.

902
00:40:43,719 --> 00:40:46,759
Speaker 1: Oh god, now I'm really showing how think. Yeah, young

903
00:40:47,320 --> 00:40:51,040
Speaker 1: snappers honestly.

904
00:40:52,480 --> 00:40:56,239
Speaker 2: Using the Facebook and the Google I am hip with

905
00:40:56,320 --> 00:40:58,239
Speaker 2: the yes I am trend I.

906
00:41:00,280 --> 00:41:03,719
Speaker 1: Just reminds me of the guy from Grown Ups where

907
00:41:03,719 --> 00:41:04,920
Speaker 1: he turns up with the skateboard.

908
00:41:04,960 --> 00:41:08,000
Speaker 2: Oh yeah, exactly that that's us, but the whipper snappers

909
00:41:08,040 --> 00:41:09,839
Speaker 2: and so.

910
00:41:10,480 --> 00:41:12,400
Speaker 1: But yeah, drawing back to that, like I think of

911
00:41:12,480 --> 00:41:14,200
Speaker 1: all the people that are going back to study UNI

912
00:41:14,400 --> 00:41:17,720
Speaker 1: high schools. Union is actually starting to pay for subscriptions

913
00:41:17,800 --> 00:41:20,840
Speaker 1: so that people they can kind of get ahead and

914
00:41:20,920 --> 00:41:23,360
Speaker 1: know what is being used because obviously if the unions

915
00:41:23,360 --> 00:41:25,239
Speaker 1: pay for the subscription, they get to see what people

916
00:41:25,239 --> 00:41:27,279
Speaker 1: are actually utilizing the AI for, which I think is

917
00:41:27,280 --> 00:41:30,240
Speaker 1: really smart because they're going to do it anyway. But honestly,

918
00:41:30,280 --> 00:41:32,400
Speaker 1: the hardest part of starting a lot of assignments and

919
00:41:32,440 --> 00:41:34,719
Speaker 1: things is literally that first question you mentioned, like how

920
00:41:34,719 --> 00:41:37,000
Speaker 1: do you start the brief, how do you start the podcast?

921
00:41:37,000 --> 00:41:39,560
Speaker 1: How are you doing the welcoming? If you can get

922
00:41:39,600 --> 00:41:42,520
Speaker 1: it to do that, like, imagine how much time that

923
00:41:42,600 --> 00:41:45,279
Speaker 1: block no longer exists, and I think that that is

924
00:41:45,320 --> 00:41:47,319
Speaker 1: really cool. So again, yeah, the bitter person in me

925
00:41:47,400 --> 00:41:49,840
Speaker 1: is like, that's rubbish. Maybe I would have actually succeeded

926
00:41:50,480 --> 00:41:53,360
Speaker 1: faster if I had have had this benefit, but ultimately

927
00:41:53,480 --> 00:41:56,680
Speaker 1: it's a really cool thing to have and to see

928
00:41:56,680 --> 00:42:00,160
Speaker 1: someone creative like yourself actually utilizing it for the benefits

929
00:42:00,200 --> 00:42:03,480
Speaker 1: of like your podcast. Your creativity is great, but the

930
00:42:03,600 --> 00:42:06,640
Speaker 1: mundane stuff of you know, tax times coming up, I

931
00:42:06,680 --> 00:42:08,600
Speaker 1: can think of anything bloody worse, and I will mention

932
00:42:08,680 --> 00:42:10,080
Speaker 1: I do not want to see how many times I've

933
00:42:10,120 --> 00:42:12,359
Speaker 1: used uber eats because I do not need that shame.

934
00:42:12,440 --> 00:42:12,839
Speaker 1: Right now.

935
00:42:13,000 --> 00:42:15,120
Speaker 2: I'm really actually upset that I did that exercise. I'm

936
00:42:15,120 --> 00:42:18,799
Speaker 2: not gonna lie. I thought you actually did it informative

937
00:42:18,960 --> 00:42:21,640
Speaker 2: like to shock me into behavior change and just a

938
00:42:21,680 --> 00:42:22,239
Speaker 2: spiral to.

939
00:42:22,600 --> 00:42:24,080
Speaker 1: You then order uber eats to feel better.

940
00:42:24,880 --> 00:42:26,440
Speaker 2: I was like, I need to emotional eat my way

941
00:42:26,440 --> 00:42:26,759
Speaker 2: out of.

942
00:42:26,680 --> 00:42:29,480
Speaker 3: This hole feeling terrible about myself.

943
00:42:29,560 --> 00:42:31,640
Speaker 1: I might just get that that you know, that burger that,

944
00:42:33,280 --> 00:42:35,680
Speaker 1: but I think the other thing that's it's really cool,

945
00:42:35,680 --> 00:42:38,319
Speaker 1: even just from like a mundane task perspective, is like

946
00:42:38,440 --> 00:42:42,760
Speaker 1: house contracts, not having to pay somebody tons of money

947
00:42:42,840 --> 00:42:45,480
Speaker 1: to analyze something that you could probably get AI to

948
00:42:45,560 --> 00:42:48,120
Speaker 1: highlight some of the key things, key words like even

949
00:42:48,160 --> 00:42:51,080
Speaker 1: that's really cool, And I actually use that recently myself

950
00:42:51,080 --> 00:42:52,920
Speaker 1: when I was selling a car, like just trying to

951
00:42:52,960 --> 00:42:56,040
Speaker 1: go through that and try and understand it, like the time,

952
00:42:56,200 --> 00:42:58,520
Speaker 1: even just to know, okay, cool. Do I actually trust

953
00:42:58,520 --> 00:43:00,560
Speaker 1: that other person in what they're saying. I can actually

954
00:43:00,560 --> 00:43:02,840
Speaker 1: analyze it myself. It just kind of reduces like the

955
00:43:03,520 --> 00:43:06,920
Speaker 1: remorse or the regret of making that decision if you

956
00:43:06,960 --> 00:43:09,000
Speaker 1: can sort of back yourself as it's really cool.

957
00:43:09,360 --> 00:43:12,439
Speaker 2: Okay, that's actually a great question. In the mundane, day

958
00:43:12,480 --> 00:43:17,480
Speaker 2: to day realm of people's lives. What are a couple

959
00:43:17,520 --> 00:43:21,399
Speaker 2: of major ways if you were like a total AI

960
00:43:21,440 --> 00:43:23,480
Speaker 2: KNEWB if you met them and were like, h, I

961
00:43:23,560 --> 00:43:26,480
Speaker 2: want you to like integrate these three things into these

962
00:43:26,600 --> 00:43:30,600
Speaker 2: mundane like tax or like editing or like whatever. What

963
00:43:30,680 --> 00:43:33,160
Speaker 2: would be the three or four use cases that you're like,

964
00:43:33,280 --> 00:43:35,360
Speaker 2: AI is amazing for these things.

965
00:43:35,719 --> 00:43:40,480
Speaker 1: Groceries? What, Yeah, you can like so you can actually

966
00:43:40,640 --> 00:43:44,680
Speaker 1: use AI. You can create like regular lists of groceries

967
00:43:44,719 --> 00:43:47,360
Speaker 1: if you're willing to do tracking, especially for someone like myself.

968
00:43:47,400 --> 00:43:50,920
Speaker 1: I'm neurodiverse. I've got ADHD pretty bad. I can't focus

969
00:43:50,960 --> 00:43:53,120
Speaker 1: on things, so I make lists for everything. Then I

970
00:43:53,160 --> 00:43:56,319
Speaker 1: lose the lists. Nice, So if I can, obviously, then

971
00:43:56,360 --> 00:43:58,080
Speaker 1: I do it again. I'm like, I've got this genius idea.

972
00:43:58,120 --> 00:43:59,759
Speaker 1: My partner's like, we did that last month. Remember how

973
00:43:59,800 --> 00:44:03,200
Speaker 1: well that went? So using AI for a mundane task

974
00:44:03,239 --> 00:44:06,799
Speaker 1: like groceries or even bill management where money anxiety is there,

975
00:44:06,960 --> 00:44:09,000
Speaker 1: to be able to reduce that stress of being able

976
00:44:09,080 --> 00:44:12,360
Speaker 1: to track where you're at utilizing AI, even AI companion,

977
00:44:12,400 --> 00:44:14,520
Speaker 1: because the way that it works on our PCs is

978
00:44:14,520 --> 00:44:17,360
Speaker 1: because it's yours, it actually can recall, you can create

979
00:44:17,440 --> 00:44:19,440
Speaker 1: libraries so you can actually save it. But from an

980
00:44:19,440 --> 00:44:23,239
Speaker 1: AI perspective, outside of even just the AI companion, having

981
00:44:23,320 --> 00:44:26,799
Speaker 1: the ability to track your usage on an app for

982
00:44:26,880 --> 00:44:30,560
Speaker 1: your groceries, being able to tick a box because again ADHD,

983
00:44:30,600 --> 00:44:32,479
Speaker 1: it feels really nice to tick something and say yeah,

984
00:44:32,480 --> 00:44:34,920
Speaker 1: good because then it feels like you've accomplished something. So

985
00:44:34,960 --> 00:44:36,719
Speaker 1: to be able to do that is really really cool.

986
00:44:36,800 --> 00:44:39,319
Speaker 1: So groceries huge list. To be able to track what's

987
00:44:39,320 --> 00:44:40,960
Speaker 1: in your fridge and know what you need to order,

988
00:44:41,040 --> 00:44:43,920
Speaker 1: because unless it's upfront for me, I don't know it exists.

989
00:44:44,280 --> 00:44:46,880
Speaker 1: So unfortunately within my fridge, you better believe there's probably

990
00:44:47,200 --> 00:44:50,440
Speaker 1: like a whole bloody cob of corn that's just.

991
00:44:50,560 --> 00:44:53,319
Speaker 2: Really badly dynastic a long time ago.

992
00:44:53,760 --> 00:44:55,800
Speaker 1: So to be able to track that is so so handy.

993
00:44:55,840 --> 00:44:58,640
Speaker 1: But from a calendar perspective as well, I use AI

994
00:44:58,760 --> 00:45:01,840
Speaker 1: with my partner to actually understand what is happening in

995
00:45:01,880 --> 00:45:05,760
Speaker 1: her schedule. She's a midwife and so she's doing really

996
00:45:06,040 --> 00:45:08,839
Speaker 1: really crazy hours. And then I travel a lot for work,

997
00:45:08,920 --> 00:45:11,320
Speaker 1: so I never know when we're home. So we utilize

998
00:45:11,320 --> 00:45:14,240
Speaker 1: it to be able to understand our schedules more importantly,

999
00:45:14,239 --> 00:45:17,880
Speaker 1: create date nights because again I really value my personal time,

1000
00:45:18,000 --> 00:45:20,880
Speaker 1: but my favorite person in the world, Unfortunately, our schedules

1001
00:45:20,920 --> 00:45:23,640
Speaker 1: clash a lot. She's also doing UNI and that also

1002
00:45:23,719 --> 00:45:24,279
Speaker 1: makes like.

1003
00:45:24,200 --> 00:45:25,560
Speaker 2: Two and a half minutes for date night.

1004
00:45:25,840 --> 00:45:29,319
Speaker 1: Literally, but it's okay, We're okay, We're working really well,

1005
00:45:29,320 --> 00:45:31,359
Speaker 1: and we utilize AI to be able to figure out

1006
00:45:31,400 --> 00:45:33,479
Speaker 1: where we're going for dinner because the fatigue of making

1007
00:45:33,520 --> 00:45:36,080
Speaker 1: decisions is so bloody hard as well.

1008
00:45:36,160 --> 00:45:39,680
Speaker 2: Right, Oh my god, So what would you put a

1009
00:45:39,760 --> 00:45:42,080
Speaker 2: prompt in? Would you be like, where should we go

1010
00:45:42,160 --> 00:45:45,560
Speaker 2: for date night? Out of Japanese, Mexican and whatever, Like

1011
00:45:45,640 --> 00:45:48,120
Speaker 2: you literally just give it so ditation I.

1012
00:45:48,120 --> 00:45:51,560
Speaker 1: Go location, give me like four to five star rating

1013
00:45:51,600 --> 00:45:54,480
Speaker 1: restaurants and this is our budget and it will send recommendations.

1014
00:45:54,640 --> 00:45:57,560
Speaker 2: Oh my god, I've never used it. I've never That

1015
00:45:57,680 --> 00:46:00,040
Speaker 2: is like the biggest pain point in our relationship. What

1016
00:46:00,080 --> 00:46:00,839
Speaker 2: are we going to have for dinner.

1017
00:46:01,239 --> 00:46:03,000
Speaker 3: Oh my god, so obviously my life is over.

1018
00:46:03,120 --> 00:46:05,520
Speaker 1: AI is so handy. But if you really want to

1019
00:46:05,560 --> 00:46:07,760
Speaker 1: like manipulate your partner a little bit, the best suggestion

1020
00:46:07,880 --> 00:46:10,040
Speaker 1: always ever give you is go up to your partner

1021
00:46:10,040 --> 00:46:11,759
Speaker 1: and be like, oh my gosh, you'll never guess where

1022
00:46:11,760 --> 00:46:13,759
Speaker 1: we're going out for dinner because usually the first place

1023
00:46:13,800 --> 00:46:17,680
Speaker 1: is where they want to go. One hundred bank might drop, yeah,

1024
00:46:17,680 --> 00:46:19,880
Speaker 1: but sometimes that fatigue is still there. So I definitely

1025
00:46:19,920 --> 00:46:23,080
Speaker 1: still do recommend, like if you want help picking particular places,

1026
00:46:23,120 --> 00:46:25,640
Speaker 1: because my partner and I tend to have a habit

1027
00:46:25,680 --> 00:46:27,319
Speaker 1: of just picking the same place every time. It's either

1028
00:46:27,320 --> 00:46:30,560
Speaker 1: that's thigh food or potentially Chuckold chicken because.

1029
00:46:30,320 --> 00:46:32,960
Speaker 2: I love chucoal chicken same I is Japanese or chocol chicken.

1030
00:46:33,040 --> 00:46:34,960
Speaker 1: Yeah, literally, but sometimes it's nice to just get out

1031
00:46:34,960 --> 00:46:36,920
Speaker 1: of your comfort zone. Like I live in Gippsland. I

1032
00:46:36,960 --> 00:46:40,440
Speaker 1: live in Regional Victoria on Gippsland. Yeah, we're in Giffee.

1033
00:46:40,520 --> 00:46:41,640
Speaker 1: I wear a new warrigal.

1034
00:46:41,840 --> 00:46:45,239
Speaker 3: Oh my god, so I'm a warrigal girl. Stop it.

1035
00:46:46,440 --> 00:46:47,960
Speaker 1: I mean, like proud of you for getting out by

1036
00:46:48,000 --> 00:46:48,680
Speaker 1: the way right, like.

1037
00:46:49,080 --> 00:46:51,160
Speaker 2: I know, I mean I was eighteen months old. I

1038
00:46:51,200 --> 00:46:53,600
Speaker 2: can't say that I engendered that decision, but like my

1039
00:46:53,760 --> 00:46:57,160
Speaker 2: first postcode yeah horrible. Yeah. I went back to speak

1040
00:46:57,200 --> 00:46:59,120
Speaker 2: for women in gips Land recently and they were like, oh,

1041
00:46:59,120 --> 00:47:02,120
Speaker 2: you're a warrigor girl like kind of was like you

1042
00:47:02,120 --> 00:47:03,319
Speaker 2: know it, but like.

1043
00:47:03,280 --> 00:47:05,719
Speaker 3: I definitely left my mark on that plan.

1044
00:47:05,560 --> 00:47:07,440
Speaker 1: Absolutely, like that'll take it.

1045
00:47:07,560 --> 00:47:08,680
Speaker 3: That's yeah.

1046
00:47:08,680 --> 00:47:11,440
Speaker 1: But yeah, so I remember from from Gippsland. But as

1047
00:47:11,480 --> 00:47:15,800
Speaker 1: you know that there's probably thirty bakeries, sixteen pizza shops.

1048
00:47:15,880 --> 00:47:18,640
Speaker 3: Yeah, yeah, a lot of fish and the rest is

1049
00:47:18,680 --> 00:47:21,000
Speaker 3: just hairdressers. So that's true.

1050
00:47:21,080 --> 00:47:22,719
Speaker 1: You've got to be willing to drive like an hour

1051
00:47:22,840 --> 00:47:25,640
Speaker 1: for something good, so you want it to be good exactly.

1052
00:47:25,640 --> 00:47:28,360
Speaker 1: So using AI to answer the questions and the biggest

1053
00:47:28,400 --> 00:47:30,719
Speaker 1: draw card is again back to prompting, making sure you're

1054
00:47:30,719 --> 00:47:32,360
Speaker 1: asking the right question. So a lot of the times

1055
00:47:32,440 --> 00:47:34,719
Speaker 1: is we want to do this, here's the purpose of

1056
00:47:34,719 --> 00:47:37,120
Speaker 1: what it is, here's what we're looking for, here's your

1057
00:47:37,160 --> 00:47:40,000
Speaker 1: reference points, and then ask me five questions back to

1058
00:47:40,120 --> 00:47:42,840
Speaker 1: ensure that you know or understand what it is that

1059
00:47:42,880 --> 00:47:45,400
Speaker 1: I'm requesting. So that way it'll say, okay, great, I

1060
00:47:45,480 --> 00:47:48,359
Speaker 1: understand that you're vibing, you know, Mexican, Are there any

1061
00:47:48,400 --> 00:47:50,640
Speaker 1: allergies that we need to be concerned about? Or what's

1062
00:47:50,680 --> 00:47:53,040
Speaker 1: the budget or whatever it is. So having that proper

1063
00:47:53,080 --> 00:47:55,440
Speaker 1: conversation with the AI to really give you the response

1064
00:47:55,440 --> 00:47:57,359
Speaker 1: and the answer as a final result is so much

1065
00:47:57,400 --> 00:48:02,160
Speaker 1: more important than just being like give me food please, recommendations.

1066
00:48:01,360 --> 00:48:02,640
Speaker 2: Like that's not going to help at all.

1067
00:48:02,719 --> 00:48:04,920
Speaker 1: That's not going to give you your answer. So drawing

1068
00:48:05,000 --> 00:48:07,360
Speaker 1: back to AI, it's only as smart as the person

1069
00:48:07,440 --> 00:48:09,719
Speaker 1: willing to give the answers in the prompt Yeah, and

1070
00:48:09,760 --> 00:48:12,040
Speaker 1: I'm not saying people as stupid. I'm just saying that

1071
00:48:12,480 --> 00:48:15,839
Speaker 1: you taking the half asked approach to prompting is not

1072
00:48:15,960 --> 00:48:17,520
Speaker 1: going to give you what you need. It's not going

1073
00:48:17,560 --> 00:48:19,279
Speaker 1: to give you the results, and it's actually going to

1074
00:48:19,280 --> 00:48:21,080
Speaker 1: give you a bad experience, and therefore you will not

1075
00:48:21,120 --> 00:48:23,560
Speaker 1: continue to use it. Give it the chance to succeed

1076
00:48:23,640 --> 00:48:25,600
Speaker 1: so that you can actually utilize it to its fullest.

1077
00:48:25,880 --> 00:48:29,720
Speaker 2: The best tip that you gave me was ask AI

1078
00:48:29,880 --> 00:48:32,319
Speaker 2: to ask you questions back, and I was like, what

1079
00:48:32,360 --> 00:48:35,000
Speaker 2: do you even mean? Like what are you even saying?

1080
00:48:35,719 --> 00:48:38,200
Speaker 2: And you was when I was making the video, you said,

1081
00:48:38,520 --> 00:48:41,399
Speaker 2: give it your story because it was a Valentine's Day video. Yep,

1082
00:48:41,719 --> 00:48:44,280
Speaker 2: tell it your story and then get it to ask

1083
00:48:44,360 --> 00:48:47,239
Speaker 2: you back some questions that you think it would need

1084
00:48:47,280 --> 00:48:50,280
Speaker 2: to know, like do you want it to be more emotional?

1085
00:48:50,320 --> 00:48:52,080
Speaker 2: You know how long we've been together, like whatever, just

1086
00:48:52,120 --> 00:48:53,680
Speaker 2: ask her to ask you questions back. And I was like,

1087
00:48:53,760 --> 00:48:57,080
Speaker 2: that is so so clever because I didn't know the

1088
00:48:57,160 --> 00:48:59,839
Speaker 2: questions I needed to ask, and it asked me questions back.

1089
00:49:00,000 --> 00:49:02,800
Speaker 2: I was like, oh my god, this is so smart, exactly.

1090
00:49:02,480 --> 00:49:04,600
Speaker 1: So smart exactly, so thank you for giving it a

1091
00:49:04,680 --> 00:49:06,520
Speaker 1: chance to succeed and give you what you need because

1092
00:49:06,520 --> 00:49:08,520
Speaker 1: we've got that final result. And I loved every minute.

1093
00:49:08,600 --> 00:49:10,600
Speaker 2: I was obviously the best thing I've ever read. I'm

1094
00:49:10,680 --> 00:49:12,800
Speaker 2: where is my Oscar nomination? I don't want to, I

1095
00:49:12,840 --> 00:49:15,440
Speaker 2: don't want to, like jumping done, but let me call

1096
00:49:15,640 --> 00:49:16,800
Speaker 2: the oscars really quickly.

1097
00:49:16,920 --> 00:49:18,760
Speaker 3: Yeah.

1098
00:49:18,800 --> 00:49:22,120
Speaker 2: Well, I've obviously, yeah, fully embraced not just AI generally

1099
00:49:22,200 --> 00:49:25,520
Speaker 2: and lots of cloud based platforms, but the omnibook specifically

1100
00:49:25,520 --> 00:49:27,040
Speaker 2: has so much built in and as you said, the

1101
00:49:27,040 --> 00:49:30,319
Speaker 2: battery life. It optimizes it when I'm editing versus when

1102
00:49:30,360 --> 00:49:33,600
Speaker 2: I'm word processing versus when I'm making bare videos like

1103
00:49:33,640 --> 00:49:36,400
Speaker 2: this when I'm listening passively like there's so many or scrolling,

1104
00:49:36,440 --> 00:49:39,080
Speaker 2: like there's so many different things that it is always

1105
00:49:39,120 --> 00:49:41,680
Speaker 2: working out how to best suit my life as a

1106
00:49:42,120 --> 00:49:45,239
Speaker 2: very light to a very heavy processing task person, I'm

1107
00:49:45,280 --> 00:49:47,399
Speaker 2: kind of doing the full spectrum. So it's I think,

1108
00:49:48,120 --> 00:49:51,040
Speaker 2: really anyone who's doing a lot of different tasks and

1109
00:49:51,040 --> 00:49:52,600
Speaker 2: who needs battery life and is on the goal all

1110
00:49:52,600 --> 00:49:54,360
Speaker 2: the time, it's such a good candidate for this laptop

1111
00:49:54,400 --> 00:49:57,759
Speaker 2: because it is AI optimized specifically. Who else do you

1112
00:49:57,800 --> 00:49:59,160
Speaker 2: think would really benefit?

1113
00:49:59,640 --> 00:50:02,160
Speaker 1: I think the people that are less techy but willing

1114
00:50:02,200 --> 00:50:04,560
Speaker 1: to give it a go. You've got early adopters, You've

1115
00:50:04,600 --> 00:50:07,239
Speaker 1: got all these different people that love tech but don't

1116
00:50:07,280 --> 00:50:10,640
Speaker 1: really know. I think that's really handy because like from

1117
00:50:10,719 --> 00:50:12,680
Speaker 1: my retail days, we used to get customers coming in and

1118
00:50:12,680 --> 00:50:14,920
Speaker 1: they're like, I need this spec, this spec, this spec.

1119
00:50:15,000 --> 00:50:16,480
Speaker 1: And I'm like, oh, when did you get that information?

1120
00:50:16,640 --> 00:50:18,520
Speaker 1: Like my grandson they told me I need it. I'm like,

1121
00:50:18,520 --> 00:50:22,600
Speaker 1: what are you using it for? And they're like Google, great.

1122
00:50:22,880 --> 00:50:24,000
Speaker 2: Microsoft word Yeah.

1123
00:50:24,000 --> 00:50:24,400
Speaker 1: Literally.

1124
00:50:24,520 --> 00:50:25,960
Speaker 3: So I think there's text.

1125
00:50:25,840 --> 00:50:27,600
Speaker 2: The tech what's that text one that has like no

1126
00:50:27,680 --> 00:50:32,080
Speaker 2: formatting or note notes, I don't know, whatever the one

1127
00:50:32,080 --> 00:50:33,320
Speaker 2: is where it's just text.

1128
00:50:33,480 --> 00:50:36,279
Speaker 1: But you know what, even like even from like a

1129
00:50:36,320 --> 00:50:38,239
Speaker 1: photo standpoint, they're like, I use paint.

1130
00:50:38,360 --> 00:50:40,320
Speaker 2: Oh my god, stop it.

1131
00:50:40,880 --> 00:50:43,960
Speaker 1: Yeah, I love paint, but you're going to crash like

1132
00:50:44,080 --> 00:50:47,520
Speaker 1: the circles and squiggles and then you color it in. Anyway,

1133
00:50:47,560 --> 00:50:50,080
Speaker 1: back to the actual like question at hand, who I

1134
00:50:50,120 --> 00:50:52,640
Speaker 1: think genuinely like the people that are willing to give

1135
00:50:52,719 --> 00:50:54,640
Speaker 1: tech a go but don't fully understand it. It's a

1136
00:50:54,640 --> 00:50:56,759
Speaker 1: really great tool because they may not understand where the

1137
00:50:56,760 --> 00:50:59,440
Speaker 1: settings are. They might want to deep dive and have

1138
00:50:59,480 --> 00:51:02,080
Speaker 1: a conversation with their PC and they can. And I

1139
00:51:02,120 --> 00:51:05,000
Speaker 1: think that that's something that we truly as users take

1140
00:51:05,000 --> 00:51:07,440
Speaker 1: advantage of. Like for me, I turn my laptop on,

1141
00:51:07,640 --> 00:51:10,279
Speaker 1: I mindlessly do things and I just I'm on autopilot.

1142
00:51:10,360 --> 00:51:11,680
Speaker 1: I know what I need to do, I know the

1143
00:51:11,760 --> 00:51:13,319
Speaker 1: questions I need to ask. But there are so many

1144
00:51:13,360 --> 00:51:16,280
Speaker 1: people out there that still are so scared and nervous

1145
00:51:16,360 --> 00:51:19,040
Speaker 1: to buy expensive devices because they don't think that they're

1146
00:51:19,040 --> 00:51:20,880
Speaker 1: going to take full advantage of it. But what if

1147
00:51:20,880 --> 00:51:23,600
Speaker 1: you could actually ask the PC to do specific settings

1148
00:51:23,719 --> 00:51:26,480
Speaker 1: or tailor it to them and it can do that

1149
00:51:26,600 --> 00:51:29,640
Speaker 1: job like great, Like there are so many amazing people

1150
00:51:29,680 --> 00:51:33,200
Speaker 1: out there that really deserve the chance to fully adopt

1151
00:51:33,239 --> 00:51:35,800
Speaker 1: all this new technology but just don't know where to start.

1152
00:51:36,040 --> 00:51:37,200
Speaker 1: It's a really great way to go.

1153
00:51:37,840 --> 00:51:39,960
Speaker 2: One hundred percent. Well, oh my gosh, Lauren, I could

1154
00:51:39,960 --> 00:51:44,319
Speaker 2: pick your brain forever. But this has been so educational

1155
00:51:45,200 --> 00:51:48,480
Speaker 2: and even yeah, I just hadn't even thought about your

1156
00:51:48,600 --> 00:51:52,160
Speaker 2: challenges with visualizing things and how from a disability standpoint,

1157
00:51:52,280 --> 00:51:53,920
Speaker 2: if like I just hadn't thought of that use case

1158
00:51:53,920 --> 00:51:55,839
Speaker 2: at all, I think that is so powerful as well,

1159
00:51:55,880 --> 00:51:58,200
Speaker 2: because yeah, that is a huge block to your ability

1160
00:51:58,239 --> 00:52:00,359
Speaker 2: to do the things that you want to do. And

1161
00:52:00,440 --> 00:52:04,200
Speaker 2: like this is a like unrelated but related example, even

1162
00:52:04,320 --> 00:52:07,680
Speaker 2: like renovating. I have used it so much to put

1163
00:52:07,680 --> 00:52:09,759
Speaker 2: in a picture of a room and say, put this

1164
00:52:09,880 --> 00:52:11,680
Speaker 2: couch in that room and show me what it would

1165
00:52:11,680 --> 00:52:13,680
Speaker 2: look like, move it to the other wall. Like that

1166
00:52:13,719 --> 00:52:16,440
Speaker 2: stuff is simple day to day stuff, but like from

1167
00:52:16,480 --> 00:52:19,520
Speaker 2: a visualization perspective, you couldn't do that before without getting

1168
00:52:19,520 --> 00:52:23,359
Speaker 2: a drafts person to like sketch it for you, or

1169
00:52:23,400 --> 00:52:26,080
Speaker 2: like trying to or you draw yourself in a magazine. Yeah,

1170
00:52:26,080 --> 00:52:27,960
Speaker 2: you print and cut it like it's a new world.

1171
00:52:28,080 --> 00:52:29,799
Speaker 2: And it's so exciting that there are so many ways

1172
00:52:29,840 --> 00:52:32,200
Speaker 2: to enhance our lives. So thank you so much for

1173
00:52:32,239 --> 00:52:33,880
Speaker 2: sharing my pleasure.

1174
00:52:33,960 --> 00:52:36,279
Speaker 1: Thank you, and I'm really glad that you actually can

1175
00:52:36,360 --> 00:52:39,439
Speaker 1: visualize because that made my heart happy because it proved

1176
00:52:39,440 --> 00:52:41,439
Speaker 1: my point that I clearly am missing out.

1177
00:52:41,880 --> 00:52:44,760
Speaker 2: So you're taking not now because I'm not, because AI,

1178
00:52:45,239 --> 00:52:45,720
Speaker 2: I complain.

1179
00:52:46,360 --> 00:52:48,000
Speaker 1: So if someone asked me that question, like give me

1180
00:52:48,040 --> 00:52:49,960
Speaker 1: one minute, let me just quickly like draw something up

1181
00:52:50,000 --> 00:52:52,560
Speaker 1: really quickly on my AI instead, because clearly.

1182
00:52:53,880 --> 00:52:57,120
Speaker 2: Well speaking of I hear that we finish every episode

1183
00:52:57,160 --> 00:52:59,320
Speaker 2: and I've actually forgotten to do this the last few episodes,

1184
00:52:59,360 --> 00:53:02,680
Speaker 2: but we finish most episodes with a quote, and I

1185
00:53:02,760 --> 00:53:06,640
Speaker 2: hear that you didn't have one. But I also find

1186
00:53:06,680 --> 00:53:09,200
Speaker 2: it hilarious that in the context of this conversation, you

1187
00:53:09,200 --> 00:53:12,359
Speaker 2: didn't go ask AI companion for a quote that would

1188
00:53:12,440 --> 00:53:16,800
Speaker 2: fit the CCA podcast. That specific guys, you can literally say,

1189
00:53:16,920 --> 00:53:19,840
Speaker 2: I am going on the CZA podcast, find me a

1190
00:53:19,920 --> 00:53:21,960
Speaker 2: quote that fits in with the vibe of this podcast,

1191
00:53:21,960 --> 00:53:24,040
Speaker 2: and it will do it for it is so crazy.

1192
00:53:23,840 --> 00:53:25,640
Speaker 1: Literally, and you know what, I think that I'm going

1193
00:53:25,719 --> 00:53:28,400
Speaker 1: to steal that quote, So yeah, what Sarah said, but genuinely,

1194
00:53:28,400 --> 00:53:31,279
Speaker 1: like I'm kind of ashamed considering the whole purpose of

1195
00:53:31,280 --> 00:53:32,160
Speaker 1: why I'm here today.

1196
00:53:32,600 --> 00:53:34,080
Speaker 3: And I didn't even think of that because.

1197
00:53:33,840 --> 00:53:35,480
Speaker 1: I was like, maybe I should just like google some

1198
00:53:35,560 --> 00:53:37,640
Speaker 1: quotes and then just take something with me. But I

1199
00:53:37,680 --> 00:53:39,879
Speaker 1: don't remember quotes. I don't remember that, but I do

1200
00:53:39,920 --> 00:53:42,080
Speaker 1: remember when people have passion. But if I read a

1201
00:53:42,160 --> 00:53:44,359
Speaker 1: quote off a piece of paper, there's no emotion to that,

1202
00:53:44,400 --> 00:53:46,839
Speaker 1: so it doesn't mean much to me. So I think,

1203
00:53:47,040 --> 00:53:49,799
Speaker 1: just in general, like drawing back to everything that we say,

1204
00:53:49,840 --> 00:53:52,719
Speaker 1: just be an adopter. Give it a red hot go.

1205
00:53:52,880 --> 00:53:54,640
Speaker 1: If you were willing to give social media a go,

1206
00:53:55,200 --> 00:53:57,760
Speaker 1: then you can try AI because ultimately, if you're scared

1207
00:53:57,800 --> 00:53:59,800
Speaker 1: with all your information where that's going, what makes you

1208
00:53:59,800 --> 00:54:02,160
Speaker 1: think that your photos are not sending to the abyss,

1209
00:54:02,480 --> 00:54:05,160
Speaker 1: give it a chance, give it a chance to succeed,

1210
00:54:05,360 --> 00:54:07,799
Speaker 1: get your time back, do something for you so that

1211
00:54:07,840 --> 00:54:09,719
Speaker 1: you can spend more time with the people that you love.

1212
00:54:10,440 --> 00:54:12,879
Speaker 2: I love it. Thank you so much, Lauren, Sure, thank

1213
00:54:12,880 --> 00:54:13,160
Speaker 2: you for.

1214
00:54:13,120 --> 00:54:16,400
Speaker 3: Having me here. Love it.

1215
00:54:16,400 --> 00:54:17,040
Speaker 1: It's been great.

1216
00:54:18,400 --> 00:54:21,919
Speaker 2: My brain is still exploding in all directions from this one,

1217
00:54:21,960 --> 00:54:25,880
Speaker 2: and every time I re listened when editing, new questions emerged.

1218
00:54:26,239 --> 00:54:28,719
Speaker 2: If you do have any follow up questions, feel free

1219
00:54:28,760 --> 00:54:30,680
Speaker 2: to drop us a DM as always that we can

1220
00:54:30,760 --> 00:54:33,359
Speaker 2: pass on to Lauren, or any feedback for that matter,

1221
00:54:33,360 --> 00:54:36,040
Speaker 2: as I'm sure you found Lauren's tips as invaluable as

1222
00:54:36,080 --> 00:54:39,760
Speaker 2: I did. If you enjoyed, as always, please do share

1223
00:54:39,800 --> 00:54:43,000
Speaker 2: the episode with your thoughts and takeaways. It means the

1224
00:54:43,080 --> 00:54:46,200
Speaker 2: world to grow the neighborhood as far and wide as possible,

1225
00:54:46,560 --> 00:54:49,279
Speaker 2: and I will include links to the HP omnibook and

1226
00:54:49,360 --> 00:54:51,600
Speaker 2: other resources we mentioned in the show notes so that

1227
00:54:51,640 --> 00:54:54,120
Speaker 2: you can revolutionize your work set up the way I

1228
00:54:54,239 --> 00:54:57,600
Speaker 2: have thanks to HP. In the meantime, I hope you're

1229
00:54:57,600 --> 00:55:06,520
Speaker 2: having a wonderful week and are seizing your sim semi

1230
00:55:06,760 --> 00:55:08,879
Speaker 2: humanly re semler em