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Speaker 1: On this week's episode of Cultivating her Space.

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Speaker 2: Unless you are living one off the grid, you are

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Speaker 2: using AI in multiple aspects of your life and might

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Speaker 2: not even realize it.

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Speaker 1: Today's episode is sure to provide you with motivation, inspiration,

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Speaker 1: or a fresh perspective. If you have any AHA moments

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Speaker 1: or appreciate anything from this episode, please leave us a

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Speaker 1: review to let us know we're on the right track. Also,

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Speaker 1: we release episodes every Friday, so be sure to subscribe

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Speaker 1: on iTunes and visit cultivatinghurspace dot com to access our

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Speaker 1: exclusive after show and other bonus content from the Patreon tab.

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Speaker 2: Welcome to Cultivating her Space, a podcast dedicated to uplifting

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Speaker 2: women like you. We're your hosts, doctor Dominique Bussard, a

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Speaker 2: college professor and psychologist.

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Speaker 3: And Terry Lomax, a techie and motivational speaker. In a

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Speaker 3: world where black women are often misrepresented and misunderstood, please

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Speaker 3: join us as we initiate authentic conversations on everything from

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Speaker 3: five roids to fake friends, and create a safe space

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Speaker 3: where black women can just be.

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Speaker 2: Our quote of the day now, this is a first

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Speaker 2: for me, lady. Our quote of the day comes from

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Speaker 2: chat GPT and if you are aware of our episode

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Speaker 2: title for today, then you will understand why AI is

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Speaker 2: not about man versus machine, but rather man with machine

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Speaker 2: complimenting our strengths and compensating for our weaknesses. All Right,

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Speaker 2: I'm gonna say that one more time for the folks

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Speaker 2: in the back. AI is not about man versus machine,

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Speaker 2: but rather man with machine complementing our strengths and compensating

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Speaker 2: for our weaknesses. Now, that quote comes to us from

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Speaker 2: chat gpt.

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Speaker 4: Lady.

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Speaker 2: If you know that that quote comes from its attributable

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Speaker 2: to an actual person, please let us know, because I'm

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Speaker 2: gonna start off by saying that that is one of

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Speaker 2: my qualms with chat gpt is that one of its

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Speaker 2: weaknesses is that it doesn't always cite sources accurately. And

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Speaker 2: this quote is a powerful quote in terms of how

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Speaker 2: I feel really about what AI can do for us. So,

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Speaker 2: t I'm gonna turn it over to you. I said

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Speaker 2: a couple of things. I'm gonna turn it over to you.

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Speaker 4: Now, I was just gonna say I think that in

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Speaker 4: an idea.

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Speaker 3: Well, first of all, AI would say some shit like that,

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Speaker 3: right like AI would because we basically asked chatgybut lady

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Speaker 3: to give us a quote of the day for the episode,

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Speaker 3: and that was one of the quotes that came up

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Speaker 3: and the author was unknown. So we're like, okay, chatgy

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Speaker 3: boutta is from you if you said you gave it

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Speaker 3: to us and you don't know, so it's from You're

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Speaker 3: the source. And so I think that in the ideal

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Speaker 3: world dom, like if good people are in control of it,

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Speaker 3: I think that is what it should be doing. But

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Speaker 3: I think it's questionable. I think that AI is only

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Speaker 3: as evil as the people behind it, real for real,

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Speaker 3: and I think that a lot of the people that

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Speaker 3: are at the forefront, they don't look like us, and

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Speaker 3: we don't know what their ulterior motives our agendas are,

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Speaker 3: and so I think all of that needs to be considered.

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Speaker 3: And so, Lady, as you can see, we are discussing

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Speaker 3: a topic that is becoming increasingly important in our lives.

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Speaker 3: You really can't avoid it, lady, Artificial intelligence AI. Right,

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Speaker 3: So technology continues to evolve, AI is playing a bigger

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Speaker 3: role and today work exploring how we can use it

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Speaker 3: to simplify our lives. I will say we are not experts. Okay,

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Speaker 3: we are not experts on this topic, and this episode

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Speaker 3: is not an exhaustive episode.

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Speaker 4: It's more of a.

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Speaker 3: Casual conversation with girlfriends. Just imagine us all sitting on

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Speaker 3: the couch and we're.

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Speaker 4: Like, girl, you're fife, how can we use it?

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Speaker 3: What are your fears? All that good stuff. We're going

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Speaker 3: to talk about that, and based on where you are

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Speaker 3: and your AI journey, your journey with AI, do your

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Speaker 3: own research and see if and how you can fit

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Speaker 3: it into your lifestyle. Son, I feel like we should

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Speaker 3: just go ahead and address the elephant in the room right, Yes,

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Speaker 3: which is really AI, but also the excitement and fear

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Speaker 3: that can come along with this topic based on where

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Speaker 3: people are in their journeys. I know some people are

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Speaker 3: worried about job displacement and privacy. Others are excited about

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Speaker 3: the potential benefits. There's just so much here when you

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Speaker 3: think about the elephant in the room.

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Speaker 4: Yeah, And I.

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Speaker 2: Think the thing is is that it's also important for

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Speaker 2: us to name that most of us who I think

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Speaker 2: it's important to name that AI. The idea of AI

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Speaker 2: can be scary, but also acknowledging that unless you are

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Speaker 2: living one hundred percent, and I don't know anybody who is.

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Speaker 2: Unless you are living one hundred percent off the grid.

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Speaker 2: You are using AI in multiple aspects of your life

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Speaker 2: and might not even realize it. And so I think

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Speaker 2: that's also part of why we wanted to do this episode,

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Speaker 2: so that folks can start to realize, Wait, I am

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Speaker 2: using AI in a lot of areas.

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Speaker 4: In my life.

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Speaker 2: And so then by recognizing that, hopefully that helps you

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Speaker 2: to demiss by what it is and alleviate some of

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Speaker 2: the fear around it. And I wholeheartedly acknowledge that there

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Speaker 2: are some things that we should be concerned about, right

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Speaker 2: Oh hell, yes, there are a few things where AI

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Speaker 2: is concerned Where were Yeah, where we should have some worry,

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Speaker 2: But we're all using it. We can't get around it.

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Speaker 4: At this point. We can't. It's inevitable.

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Speaker 3: I think the question for us is like, Okay, if

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Speaker 3: we know that it's here, what can we control?

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Speaker 2: Right?

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Speaker 3: And that's like how we decide to engage with it

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Speaker 3: and educating ourselves. Dom can we start off by just

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Speaker 3: talking about your journey with AI in Jimberal, like, has

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Speaker 3: it changed over the past year?

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Speaker 2: Is?

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Speaker 3: I think in the past year, I think twenty twenty

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Speaker 3: three was a pivotal moment for AI in general, and

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Speaker 3: now we're seeing a lot of the aftermath and what's

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Speaker 3: coming from that pivotal point now in twenty twenty four

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Speaker 3: as we're recording this episode. So, what would you say

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Speaker 3: your journey has been like?

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Speaker 2: You know, honestly, I haven't necessarily thought too deeply, even

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Speaker 2: in preparation for the episode. I didn't think too deeply

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Speaker 2: on like what my my actual journey with AI has been,

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Speaker 2: because I'm also aware that I am of the generation

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Speaker 2: that straddled analog and digital, right, like millennials truly straddled,

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Speaker 2: particularly elder millennials truly straddled the use of analog and digital.

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Speaker 2: So I going through grade school, I still knew what

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Speaker 2: it was like to sit in a classroom with a

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Speaker 2: green and white chalkboard, yes, right, But by the time

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Speaker 2: I was graduating, we were using we were using smartboards,

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Speaker 2: and had computers in the classroom. And so I'm of

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Speaker 2: that generation that saw that trend that like literally we

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Speaker 2: as we were growing up.

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Speaker 4: So was technology, right.

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Speaker 2: And so I think my generation sits in a unique

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Speaker 2: position of knowing what things were like before, but also

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Speaker 2: learning how to use and work with machine.

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Speaker 4: Right, Yeah, and so and so that's probably why I.

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Speaker 2: Didn't think too deeply on that question, because that's just

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Speaker 2: been my existence. Yeah, that makes sense, Like it's just

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Speaker 2: been a nastroll part of my existence, right, what about

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Speaker 2: for you?

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Speaker 3: Well, Dom, It's funny because even though I've worked in

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Speaker 3: tech for I guess almost a decade now, I'm not

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Speaker 3: very like I'm techy with the work that I do,

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Speaker 3: but I'm not very techy outside of work. I guess

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Speaker 3: you could say what I mean by that is like

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Speaker 3: I'm not really the person that's getting the new gadgets.

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Speaker 3: I'm not, you know, really excited about reading the news.

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Speaker 3: I kind of stay in my little bubble and like

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Speaker 3: don't go outside of that unless someone's like you really

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Speaker 3: need to check this out or there's a compelling reason.

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Speaker 3: And so I would say last year when chat GPT,

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Speaker 3: that was my first introduction to AI, and I was like, okay,

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Speaker 3: like whatever, like I don't know what this thing is,

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Speaker 3: Like I didn't really care much, but then I continue

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Speaker 3: to hear about it, and then being in Silicon Valley,

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Speaker 3: I've seen companies like all of the companies that I

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Speaker 3: work with, they all are working on hiring an AI

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Speaker 3: strategist or having some type of AI strategy or they're

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Speaker 3: implementing it in some way, like they have leaders and

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Speaker 3: the C suite that are really coming down on their teams.

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Speaker 3: We need to figure out what is our stance on AI.

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Speaker 3: There's a lot of fear. There's also a lot of excitement.

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Speaker 3: There are fears about, like we said earlier, privacy and

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Speaker 3: things of that nature. So I'm hearing the conversations, I'm

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Speaker 3: seeing the writings on the wall, and I feel like

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Speaker 3: I'm at the point now where I was apprehensive originally,

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Speaker 3: but then I started to slowly adopt, and now I'm

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Speaker 3: still skeptical, but I'm just kind of observing, kind of

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Speaker 3: seeing what the landscape is and understanding like, Okay, what

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Speaker 3: are these signs saying? And so from right now, what

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Speaker 3: I can see is that it's not going anywhere. It's

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Speaker 3: going to continue to develop, But there are legitimate fears.

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Speaker 4: I mean, I have my own fears.

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Speaker 3: I would say that fear job displacement, depending on what

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Speaker 3: your job is.

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Speaker 4: I definitely foresee that.

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Speaker 3: I mean when I think about living in literally in

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Speaker 3: the Bay in San Francisco. We were just talking about

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Speaker 3: this where they have the self driving cars, right. I

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Speaker 3: rode in one one time and it was a wild

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Speaker 3: experience to have this machine drive me from a destination

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Speaker 3: in the city on the freeway down the streets like

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Speaker 3: stop it at lights. Was I never thought that in

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Speaker 3: my lifetime we would be doing this. And so I

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Speaker 3: think about yesterday when I was driving and the self

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Speaker 3: driving car that was in front of me just stopped

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Speaker 3: on the bridge, and so I went around and I'm like, God,

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Speaker 3: damn it, this damn car. You can't really honk and

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Speaker 3: do anything because there's not a human in the car.

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Speaker 3: And so I think about that they could take over

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Speaker 3: a lot of the jobs for lifting ubers, and I've

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Speaker 3: talked to drivers about that fear. So I think that

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Speaker 3: depending on the role that you have, there is a

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Speaker 3: legitimate fear about job displacement, right and the possibility of

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Speaker 3: that happening. But I also think that going back to

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Speaker 3: the quote, there is an opportunity for to compliment other

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Speaker 3: roles and compensate for weaknesses depending on what those jobs are. Hey, lady,

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Speaker 3: it's Terry here, Dom and I want to take a

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Speaker 3: moment to thank you for choosing to listen to our podcast.

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Speaker 3: We love you for real, and we want to give

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Speaker 3: you a chance to learn more about what's important to us,

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Speaker 3: So tell us what you think about this.

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Speaker 5: Imagine a world where you have a chance to get

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Speaker 5: featured on the Cultivating her Space and share your business,

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Speaker 5: brand or perspective with millions around the globe. Imagine joining

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Speaker 5: our monthly virtual video check ins where you can connect

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Speaker 5: with like minded black women like you and share your

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Speaker 5: ideas and episode suggestions with Terry and I. Now, I

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Speaker 5: want you to imagine a world where you're in the

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Speaker 5: exclusive Cultivating her Space sanctuary Slack channel, and throughout your

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Speaker 5: day and week, you are conversing with us about what's

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Speaker 5: happening in your life and sharing funny gifts and or

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Speaker 5: personal wins.

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Speaker 4: How does that sound?

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Speaker 3: Hopefully this is of your alley, lady, because we are

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Speaker 3: taking things to the next level this year, and we're

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Speaker 3: doubling down on investing in our community.

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Speaker 4: That means you.

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Speaker 3: We want to meet you, connect with you, and create

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Speaker 3: communities of genuine women who love on black women and

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Speaker 3: push our culture and movement forward. We launched this podcast

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Speaker 3: hop right back into the conversation.

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Speaker 2: And I think also when we think about it, it's

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Speaker 2: about how things evolve, right. So there's two area or

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Speaker 2: multiple areas in which a self driving car. There's multiple

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Speaker 2: avenues from which we get to this point of having

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Speaker 2: a self driving car. Right, So I think about I

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Speaker 2: can remember having to learn, like if we were going

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Speaker 2: to go somewhere learning directions, right, Yes, but let's be clear, Okay,

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Speaker 2: learning directions Like I remember my grandfather pulling out a map,

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Speaker 2: a paper map that you would get from the store

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Speaker 2: that would get updated once every couple of years, okay,

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Speaker 2: and it was literally the map that would be folded

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Speaker 2: into like a booklet size, but it would open up

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Speaker 2: to this huge paper and you had to learn how

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Speaker 2: to read a map.

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Speaker 4: Okay.

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Speaker 2: That was when I was a kid. Then I remember

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Speaker 2: getting to a point where computers started to there was

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Speaker 2: more technology now around navigation right on the computer though,

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Speaker 2: because this was map quests, right, so you would type

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Speaker 2: in where you were going. So now we didn't need

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Speaker 2: the rand McNally map we needed. We could go on

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Speaker 2: map quest and put in our current address, the address

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Speaker 2: to where we were going, and print out ten pages

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Speaker 2: of directions right now, and you got and if you

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Speaker 2: didn't print out that map and you didn't know your

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Speaker 2: way around, you were asked out if you got lost,

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Speaker 2: or if a street was closed, or if there was traffic.

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Speaker 2: And then there was the invention of the in car

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Speaker 2: navigation system, right the GP and I don't now, let's

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Speaker 2: be clear, this is not my area of expertise, so

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Speaker 2: GPS I can't even tell you exactly what it stands

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Speaker 2: for and I.

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Speaker 4: Don't know it's full evolution.

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Speaker 2: It wasn't initially for cars for our personal use, I

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Speaker 2: know that much, right, But then it became useful in

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Speaker 2: our cars, and it was you had to pay extra,

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Speaker 2: You had to go to an electronics store and pay

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Speaker 2: extra to get the GPS system to put it in

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Speaker 2: your car. And because it was a hot commodity, you

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Speaker 2: better take that out with you when you get out

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Speaker 2: the car. You're going to come back and your car

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Speaker 2: is broken into when they stole your navigation system. Wow,

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Speaker 2: And now you know fast forward. And now navigation system

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Speaker 2: is like a standard thing in most vehicles, right, and

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Speaker 2: now we have self driving cars.

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Speaker 4: So think about like that evolution, right.

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Speaker 2: And the thing that when I think back to each

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Speaker 2: time a new piece was introduced, change is hard for people.

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Speaker 4: Yes, so hard.

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Speaker 2: And so while people we all need because change is inevitable,

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Speaker 2: most of us eventually adjust. I'm sure there is somebody

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Speaker 2: out there who still uses the Rand McNally maps, because

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Speaker 2: I do occasionally see them in the store, But the

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Speaker 2: majority of us.

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Speaker 4: Pull up GPS in our phone like now.

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Speaker 2: They're apps that tell us where to go, how to

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Speaker 2: get there, and what detours to take.

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Speaker 4: To avoid the traffic.

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Speaker 2: Like, honestly, even if I know exactly where I'm going,

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Speaker 2: half the time, and it's half the time I get

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Speaker 2: in my car putting the address in GPS, in the

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Speaker 2: GPS only because I need traffic updates. I need to

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Speaker 2: know do I need to do I but I know

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Speaker 2: how to get there, but I need traffic up dates.

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Speaker 2: I need to know if I need to take a

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Speaker 2: detour or if I need to wait to leave.

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Speaker 4: Right off this an accident the head like come.

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Speaker 2: On, and so for me, that's one of the ways

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Speaker 2: now and now I will be honest, I'm not there

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Speaker 2: yet in getting into a self driving car, but I

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Speaker 2: know that fast forward twenty years I might be having

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Speaker 2: a completely different conversation.

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Speaker 4: Absolutely.

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Speaker 3: I mean, think about it, if twenty years ago someone

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Speaker 3: were to tell you that you would be hopping into

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Speaker 3: a car with a stranger that was not a taxi

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Speaker 3: and you'd be riding with them, like the whole lift

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Speaker 3: uber experience, which is relatively new in the past what

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Speaker 3: decade or so. I think about that, it's a very

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Speaker 3: different experience from a taxi experience. Right yesterday, in my opinion,

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Speaker 3: at least, I was gonna say in my opinion, is different,

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Speaker 3: and it is. It's just we we sort of just

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Speaker 3: you know, acclimate, and we adjust based on what's I

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Speaker 3: don't know if it's what's normal or what's being what

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Speaker 3: becomes the norm for us, right, And I think that's

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Speaker 3: I mean, not that I was here around the time,

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Speaker 3: but if you think back to like the Industrial revolution, right,

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Speaker 3: and that initially caused job displacement, but that eventually led

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Speaker 3: to new industries and job creation, and so I think

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Speaker 3: that AI has the potential to do that. But it's

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Speaker 3: just a matter of kind of like I think, the

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Speaker 3: waiting game as we learn and understand like where's this going,

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Speaker 3: and try to make our own forecasting and predictions on

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Speaker 3: what's going to be valuable by way of skills in

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Speaker 3: the future so that we can get in where we

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Speaker 3: fit in. I think that's going to be important. I

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Speaker 3: can imagine how stressful it is being a college student

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Speaker 3: at this time trying to figure out, like what should

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Speaker 3: I focus on based on the landscape that we're you

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Speaker 3: know that we're in right now.

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Speaker 4: A lot it's not it's not stressful. It's not it's

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Speaker 4: not so here's the thing. It's not stressful.

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Speaker 3: From that person perspective, Okay, from a job perspective, it

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Speaker 3: is now.

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Speaker 2: From a job perspective, okay, because we naturally evolve, right,

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Speaker 2: and so you and then part of being in college

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Speaker 2: and you are you are part of building the new

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Speaker 2: things that you are part of the innovation. Yeah, and

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Speaker 2: so or you're being exposed to the innovation. And so

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Speaker 2: I feel now, I will admit that there are certain

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Speaker 2: majors and fields where there are changes, but that has

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Speaker 2: been since college started centuries ago, right, Like philosophy majors.

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Speaker 2: There are still philosophy majors out there and there we

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Speaker 2: need we still need you, but it's not like what

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Speaker 2: it was in.

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Speaker 4: Nineteen twenty four, Like it's just not. It evolts.

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Speaker 2: And so I think I think younger people have an

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Speaker 2: advantage over the rest of us in that they are

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Speaker 2: they are accustomed to things growing and changing because that's

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Speaker 2: what they know from birth. It's things growing and changing.

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Speaker 2: It's not till we get to be adults, like adulting

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Speaker 2: for real, when things kind of slow down, where our

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Speaker 2: growth kind of slows down, that we start to then.

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Speaker 4: Be like we don't like change.

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Speaker 2: Yeah, it's harder to adapt to change.

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Speaker 4: I think that's yeah, and learned things.

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Speaker 3: Exactly because we also have had life experience don that

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Speaker 3: has allowed us to sort of get comfortable with the

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Speaker 3: way that we've We've had thirty years to do something

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Speaker 3: the same way, and it's like, Okay, I'm accustomed to

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Speaker 3: do this way. This is what I'm going to stick with.

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Speaker 3: Whereas the younger folks is like you said, but we

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Speaker 3: were that way when we were younger too, Like when

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Speaker 3: we were growing up, the elders were.

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Speaker 4: Like, what the hell what are y'all doing?

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Speaker 3: And so it's like a generational thing. And I know

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Speaker 3: there are some young people listening, like girl, I am

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Speaker 3: not that young person. I am not into technology. I

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Speaker 3: don't want like change either. So I guess it depends

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Speaker 3: on you know who you are and who you are

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Speaker 3: in your journey. But I think if we're going to

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Speaker 3: stereotype and sort of categorize people, I think the younger people,

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Speaker 3: like you said, are more enthusiastic and comfortable with AI

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Speaker 3: and where this is going and more open. Whereas the

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Speaker 3: origin girl, would your grandmother get into a self driving car?

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Speaker 3: Because I feel like my grandparents would be like hell

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Speaker 3: and all, okay.

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Speaker 4: I feel like they.

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Speaker 3: Would be like absolutely not if you don't get in

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Speaker 3: this car, okay.

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Speaker 2: So oh and honestly, for comparison's sake, let's think about

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Speaker 2: it like this. For comparison's sake, my grandmother is in

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Speaker 2: her nineties, right, and when I think about what she

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Speaker 2: has seen in her almost century of living and what

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Speaker 2: life was like for her as far as technology artificial

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Speaker 2: intelligence when she was a kid, compared to what things

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Speaker 2: were like for me, compared to my youngest niece and nephew, Like,

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Speaker 2: it's different.

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Speaker 4: Yes, one of my friends.

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Speaker 2: I was spending time with one of my friends and

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Speaker 2: they have a baby who's less than a year old, right,

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Speaker 2: And we had our phone up, and we turned the

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Speaker 2: camera on and the baby like instinctually looked towards the camera.

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Speaker 2: First of all, we wouldn't have known that at when

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Speaker 2: we were babies, because iPhones weren't around when we were babies, right,

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Speaker 2: Camera phones in general weren't a thing when we were babies.

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Speaker 2: And so that's what I mean about evolution and how

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Speaker 2: we learn, how we adapt, And so it's easier for

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Speaker 2: the younger generation to adapt to these technological changes because

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Speaker 2: things are constantly changing for them. Yeah, Like what they

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Speaker 2: learn at one what they're experiencing and doing at one

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Speaker 2: is different at two, like significantly different. Oh yeah, things

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Speaker 2: are changing, but what do exactly But what you do

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Speaker 2: at thirty and what you do at thirty one is

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Speaker 2: pretty much the same thing. Not much not much change, right,

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Speaker 2: compared to one year old to a two year old.

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Speaker 2: And so that's what I mean about the younger generations

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Speaker 2: are able to adapt to this a lot, these changes

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Speaker 2: a lot faster, right, And before we get too far

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Speaker 2: off topic, I do want us to talk about some

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Speaker 2: of the privacy concerns, right, because to me, that is

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Speaker 2: a legitimate concern in terms of I can think about

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Speaker 2: in the last five years, it feels like in the

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Speaker 2: last five years, almost every month or every other month,

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00:25:17,000 --> 00:25:23,400
Speaker 2: you're getting a notification about a data breach from one

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Speaker 2: of the companies, right, And it's a come and usually

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00:25:28,240 --> 00:25:31,800
Speaker 2: it's usually it's a company that you're using, like your

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00:25:31,840 --> 00:25:35,919
Speaker 2: credit cards, the hell that's the money y'all playing with,

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Speaker 2: or like concert tickets or like services that or your

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Speaker 2: bank or at the time of this recording, we are

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00:25:52,000 --> 00:25:58,879
Speaker 2: coming off of a global data breach malfunction that shut

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Speaker 2: down air travel and government agencies for several days. So

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Speaker 2: the privacy concerns to me are legitimate, right, yeah, for

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00:26:10,040 --> 00:26:21,920
Speaker 2: sure and unavoidable. Like I'm aware that certain countries and

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Speaker 2: certain states even within the US, have laws in place

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Speaker 2: that try to protect our privacy, but they're not fail proof, right.

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Speaker 1: Lady.

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Speaker 3: We know as black women how important it is to

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Speaker 3: talk about our health, especially the things previous generations told

437
00:26:41,359 --> 00:26:45,800
Speaker 3: us to keep quiet, like our vaginas. What are you

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00:26:45,920 --> 00:26:49,080
Speaker 3: doing to address your vaginal health besides visiting your gynecologist.

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00:26:49,800 --> 00:26:54,160
Speaker 3: Did you know that your menstrual cycle, exercise, diet, stress,

440
00:26:54,440 --> 00:26:58,160
Speaker 3: and sex can disrupt or throw off your vaginal microbiome.

441
00:26:58,920 --> 00:27:00,800
Speaker 4: No, neither did I.

442
00:27:01,880 --> 00:27:05,240
Speaker 3: That's why I started using seed Seed. VSO one is

443
00:27:05,280 --> 00:27:09,399
Speaker 3: based on nearly twenty years of scientific research and is

444
00:27:09,440 --> 00:27:14,879
Speaker 3: a sustainable approach to addressing optimal vaginal pH The first

445
00:27:14,920 --> 00:27:19,160
Speaker 3: month focuses on a reset to your vaginal microbiome. Afterwards,

446
00:27:19,280 --> 00:27:23,080
Speaker 3: you sustained with two tablets each month. It's super simple

447
00:27:23,119 --> 00:27:27,440
Speaker 3: to use. VSO one marks a new era and vaginal

448
00:27:27,480 --> 00:27:30,959
Speaker 3: care with a sustainable approach to address the root cause

449
00:27:31,080 --> 00:27:35,200
Speaker 3: of imbalances, and it's also the first clinically validated vaginal

450
00:27:35,200 --> 00:27:39,040
Speaker 3: probiotic with three strains of the super defender strain of

451
00:27:39,160 --> 00:27:43,840
Speaker 3: bacteria called L. Crispatis domin I like to test out

452
00:27:43,840 --> 00:27:46,359
Speaker 3: the products that we enduse, and Seed has been super

453
00:27:46,359 --> 00:27:49,680
Speaker 3: easy to use. But aside from that, we also pay

454
00:27:49,720 --> 00:27:51,800
Speaker 3: attention to what we put in our bodies. And what

455
00:27:51,840 --> 00:27:54,280
Speaker 3: was appealing to us about Seed is that the development

456
00:27:54,280 --> 00:27:58,040
Speaker 3: process included a multi step approach, in collaboration with leading

457
00:27:58,119 --> 00:28:02,480
Speaker 3: scientists and researchers from our around the world, culminating and

458
00:28:02,560 --> 00:28:06,640
Speaker 3: in depth testing and quality control checkpoints that monitor purity

459
00:28:06,720 --> 00:28:11,760
Speaker 3: under both the US and European protocols shift from harsh,

460
00:28:11,960 --> 00:28:18,040
Speaker 3: reactive treatments to proactive sustainable care. With VS one from Seed,

461
00:28:18,960 --> 00:28:22,000
Speaker 3: go to seed dot com slash cultivating and use code

462
00:28:22,040 --> 00:28:25,560
Speaker 3: twenty five cultivating to get twenty five percent off. That's

463
00:28:25,640 --> 00:28:29,640
Speaker 3: twenty five percent off vso one at seed dot com

464
00:28:29,680 --> 00:28:33,480
Speaker 3: slash cultivating code twenty five cultivating.

465
00:28:38,120 --> 00:28:42,160
Speaker 2: Like, I'm aware that certain countries and certain states even

466
00:28:42,200 --> 00:28:46,200
Speaker 2: within the US, have laws in place that try to

467
00:28:46,280 --> 00:28:48,080
Speaker 2: protect our privacy.

468
00:28:47,960 --> 00:28:54,160
Speaker 4: But they're not fail proof, right, and we can't get.

469
00:28:54,040 --> 00:29:01,120
Speaker 2: Around it because in some ways it makes life easier.

470
00:29:01,840 --> 00:29:03,320
Speaker 4: Yeah, So.

471
00:29:05,080 --> 00:29:07,200
Speaker 2: I have people that say, you know, I know folks

472
00:29:07,280 --> 00:29:10,480
Speaker 2: that say, well, when I go into the store. I'm

473
00:29:10,520 --> 00:29:12,840
Speaker 2: not signing up for that reward system because I don't

474
00:29:12,880 --> 00:29:17,400
Speaker 2: want them collecting my data. Well, guess what, that's cool.

475
00:29:17,760 --> 00:29:20,040
Speaker 2: You don't have to sign up for that reward system.

476
00:29:20,240 --> 00:29:23,640
Speaker 2: But if you swipe your debit card as you are

477
00:29:23,680 --> 00:29:27,160
Speaker 2: paying for your items, they now have they still have

478
00:29:27,280 --> 00:29:31,360
Speaker 2: your information because they have at your billing address.

479
00:29:32,560 --> 00:29:33,920
Speaker 4: They know how much you paid for.

480
00:29:33,880 --> 00:29:36,440
Speaker 2: That item, they know exactly what item.

481
00:29:36,200 --> 00:29:39,520
Speaker 4: You bought them late night internet searches.

482
00:29:40,160 --> 00:29:43,080
Speaker 2: And so now guess what. When you turn on Hulu,

483
00:29:43,480 --> 00:29:46,680
Speaker 2: you went to you you went to let's say you

484
00:29:46,760 --> 00:29:51,239
Speaker 2: went to Target and you made a purchase with your

485
00:29:51,240 --> 00:29:53,040
Speaker 2: debit card, but you didn't sign up for the Target

486
00:29:53,080 --> 00:29:59,520
Speaker 2: circle program. But you made a purchase with your debit card. Well,

487
00:29:59,560 --> 00:30:02,520
Speaker 2: guess what, But now all that information is stored. And

488
00:30:02,560 --> 00:30:04,800
Speaker 2: if you use that same debit card to pay your

489
00:30:04,840 --> 00:30:07,680
Speaker 2: Hulu subscription every month, I guarantee you there's going to

490
00:30:07,720 --> 00:30:10,080
Speaker 2: be a Target ad while you're watching Hulum.

491
00:30:11,640 --> 00:30:13,880
Speaker 4: And so it's connected.

492
00:30:15,960 --> 00:30:18,760
Speaker 3: It is dom And I feel like, as you're saying that,

493
00:30:18,880 --> 00:30:20,600
Speaker 3: it makes me think about all the ways in which

494
00:30:22,200 --> 00:30:24,480
Speaker 3: you know data breaches could impact me. But I really

495
00:30:24,520 --> 00:30:26,680
Speaker 3: don't think about this stuff often because I'm like, at

496
00:30:26,680 --> 00:30:28,760
Speaker 3: the end of the day, I can't control it, and

497
00:30:28,880 --> 00:30:32,200
Speaker 3: I'm not trying to get stressed out about what I'm

498
00:30:32,240 --> 00:30:33,640
Speaker 3: just not trying to get stressed out about it because

499
00:30:33,640 --> 00:30:36,360
Speaker 3: I can't do nothing about it. Right, So I think

500
00:30:36,360 --> 00:30:39,320
Speaker 3: it's good for us to know that, Okay, these things

501
00:30:39,360 --> 00:30:41,800
Speaker 3: could happen, but also what can we do about it?

502
00:30:41,880 --> 00:30:42,000
Speaker 1: Right?

503
00:30:42,000 --> 00:30:44,520
Speaker 3: Like, I am so annoyed with this goddamn spam called chiad,

504
00:30:44,760 --> 00:30:49,520
Speaker 3: especially with the election. I swear every damn day, Joe Biden, calm,

505
00:30:49,760 --> 00:30:52,720
Speaker 3: somebody's texting me Trump, Somebody's texting I'm like, I don't

506
00:30:52,720 --> 00:30:55,120
Speaker 3: know how they got my number from some list serve.

507
00:30:55,240 --> 00:30:57,840
Speaker 3: Somebody's selling numbers, Like, it's just it's a lot yep.

508
00:30:57,960 --> 00:30:59,760
Speaker 3: But I will say one of the things that before

509
00:30:59,800 --> 00:31:02,440
Speaker 3: we talk about excitement and get into like everyday use

510
00:31:02,520 --> 00:31:07,080
Speaker 3: cases of AI at the ethical considerations, that's definitely something

511
00:31:07,080 --> 00:31:10,160
Speaker 3: that kind of has me like mmm, because what is

512
00:31:10,200 --> 00:31:12,360
Speaker 3: scaring me the most, I would say is like this

513
00:31:12,440 --> 00:31:15,320
Speaker 3: AI generated music. I think as an artist and creative,

514
00:31:15,400 --> 00:31:18,320
Speaker 3: it really sucks when someone can create a whole song

515
00:31:18,440 --> 00:31:22,200
Speaker 3: that sounds just like you and publish it and it

516
00:31:22,200 --> 00:31:24,600
Speaker 3: could sound great and it's just like, I think, from

517
00:31:24,640 --> 00:31:29,520
Speaker 3: a creative perspective, that's unfortunate. I've seen these deep fakes

518
00:31:29,560 --> 00:31:33,640
Speaker 3: and AI videos where it could be a porn snippet

519
00:31:33,880 --> 00:31:36,000
Speaker 3: or someone puts your face on it and it's not

520
00:31:36,080 --> 00:31:38,800
Speaker 3: really you. But now there's a video circulating of you

521
00:31:38,960 --> 00:31:41,760
Speaker 3: that looks like you're doing us, you know, participating in

522
00:31:41,760 --> 00:31:45,080
Speaker 3: a sexual act. That's extremely scary because once it's out

523
00:31:45,120 --> 00:31:47,000
Speaker 3: there and people think they saw like you just assumed

524
00:31:47,000 --> 00:31:49,280
Speaker 3: that it's real. There were these images of Steve Harvey

525
00:31:49,280 --> 00:31:51,240
Speaker 3: that had gone viral. I don't know if you saw them,

526
00:31:51,400 --> 00:31:53,600
Speaker 3: where Steve Harvey was like in the woods running from

527
00:31:53,600 --> 00:31:55,320
Speaker 3: big Foot and then he was super drunk and it

528
00:31:55,360 --> 00:31:57,840
Speaker 3: looks just like and like he had these shots and

529
00:31:57,880 --> 00:31:59,480
Speaker 3: it was very like people were laughing at it.

530
00:31:59,400 --> 00:32:00,000
Speaker 4: It was funny.

531
00:32:00,040 --> 00:32:02,160
Speaker 3: But it's like it's funny into it's you, you know

532
00:32:02,200 --> 00:32:05,080
Speaker 3: what I mean, Yeah, it's funny as somebody got you,

533
00:32:05,080 --> 00:32:06,520
Speaker 3: you know, sniffing coke up off.

534
00:32:06,400 --> 00:32:09,360
Speaker 4: The couch and you're like, I never did right.

535
00:32:10,080 --> 00:32:12,960
Speaker 3: Funny No more so, I think that those are just

536
00:32:12,960 --> 00:32:15,239
Speaker 3: some of the sort of I want to say, some

537
00:32:15,280 --> 00:32:17,760
Speaker 3: of the examples that I've seen as far as ethical considerations.

538
00:32:17,760 --> 00:32:20,280
Speaker 4: But there's a lot more to it, right Yeah.

539
00:32:20,360 --> 00:32:23,120
Speaker 2: I think also within that I think about as you

540
00:32:23,120 --> 00:32:28,440
Speaker 2: were saying that, it makes me think about the racism

541
00:32:28,720 --> 00:32:30,120
Speaker 2: within AI.

542
00:32:30,080 --> 00:32:32,320
Speaker 4: Right, Like if you think about.

543
00:32:34,600 --> 00:32:38,600
Speaker 2: If you think about Apple and like Android and like

544
00:32:38,640 --> 00:32:44,600
Speaker 2: the use of emojis, and how long it has taken

545
00:32:45,320 --> 00:32:51,400
Speaker 2: to get emojis, certain emojis that are more culturally, like,

546
00:32:51,520 --> 00:32:55,440
Speaker 2: racially and ethnically diverse, and there's still lots of work

547
00:32:55,440 --> 00:32:59,840
Speaker 2: that needs to be done. But if I think about

548
00:33:00,160 --> 00:33:04,959
Speaker 2: text messages, look like when emojis first came out, however

549
00:33:05,040 --> 00:33:07,520
Speaker 2: long ago that was I think ten years ago.

550
00:33:07,600 --> 00:33:08,080
Speaker 4: I don't know.

551
00:33:08,200 --> 00:33:14,320
Speaker 2: It's constantly updating, however, the updates don't. It's one of

552
00:33:14,360 --> 00:33:18,719
Speaker 2: those conundrums of where, on one hand, it feels like

553
00:33:18,960 --> 00:33:21,680
Speaker 2: every couple of weeks we're getting a notification about an

554
00:33:21,800 --> 00:33:24,920
Speaker 2: update that needs to happen on our phones and laptops

555
00:33:24,960 --> 00:33:33,840
Speaker 2: and all our tech devices. Yet getting some of these

556
00:33:33,880 --> 00:33:39,000
Speaker 2: ethical considerations, like getting privacy controls in place, getting things

557
00:33:39,040 --> 00:33:41,880
Speaker 2: that are more like emojis and things like that that

558
00:33:41,920 --> 00:33:47,680
Speaker 2: are more culturally diverse, seem to be taking way too long.

559
00:33:49,200 --> 00:33:50,640
Speaker 4: Now that's the truth. That's the truth.

560
00:33:51,280 --> 00:33:52,760
Speaker 3: Okay, So We're going to talk a little bit about

561
00:33:52,760 --> 00:33:55,760
Speaker 3: the excitement and potential benefits and just dive right into

562
00:33:55,960 --> 00:33:58,680
Speaker 3: Lady like everyday use of AI and not to like

563
00:33:58,800 --> 00:34:01,320
Speaker 3: sell this to you, just to kind of highlight the

564
00:34:01,320 --> 00:34:03,080
Speaker 3: ways in which some of us are already.

565
00:34:02,840 --> 00:34:05,440
Speaker 4: Using AI, may not know it, and then some other

566
00:34:05,560 --> 00:34:06,080
Speaker 4: use cases.

567
00:34:06,120 --> 00:34:08,319
Speaker 3: So when it comes to excitement potential benefits, I think

568
00:34:08,360 --> 00:34:11,799
Speaker 3: increased efficiency, that's definitely something I am leveraging today and

569
00:34:11,840 --> 00:34:15,400
Speaker 3: I am loving it. AI can definitely streamline processes and

570
00:34:15,480 --> 00:34:17,160
Speaker 3: increased productivity for sure.

571
00:34:17,360 --> 00:34:21,960
Speaker 2: So that's one, yeah, I think another one is that

572
00:34:22,200 --> 00:34:24,360
Speaker 2: And you kind of mentioned this of like the creation

573
00:34:24,520 --> 00:34:27,920
Speaker 2: of new jobs, like you're gonna need you need people

574
00:34:27,960 --> 00:34:31,400
Speaker 2: to work in these to work in this industry, and

575
00:34:32,160 --> 00:34:37,600
Speaker 2: so with new job creation, and because technology is also

576
00:34:37,680 --> 00:34:41,279
Speaker 2: a field an area where there seems to be a

577
00:34:41,320 --> 00:34:48,279
Speaker 2: lot of money, then hopefully that means if the AI

578
00:34:48,400 --> 00:34:57,880
Speaker 2: arena is open to diverse employees, then what that could

579
00:34:57,920 --> 00:35:05,000
Speaker 2: potentially look like is an increase in the middle class

580
00:35:05,080 --> 00:35:07,880
Speaker 2: for communities of color, m.

581
00:35:10,040 --> 00:35:10,960
Speaker 4: Brown folks.

582
00:35:11,239 --> 00:35:15,400
Speaker 3: Hell yes. And then next Lady is improved quality of life,

583
00:35:16,200 --> 00:35:19,520
Speaker 3: so enhancements and healthcare, education and daily living through AI

584
00:35:19,640 --> 00:35:24,040
Speaker 3: technologies and So let's just talk a bit about some

585
00:35:24,160 --> 00:35:27,080
Speaker 3: everyday uses. So we think about common AI applications. Right,

586
00:35:27,120 --> 00:35:30,800
Speaker 3: when you think about virtual assistance, you have Siri, which

587
00:35:31,480 --> 00:35:33,440
Speaker 3: for a long time I just cut Cereal off and

588
00:35:33,440 --> 00:35:35,160
Speaker 3: then I turn aback. I go back and forth with

589
00:35:35,360 --> 00:35:38,200
Speaker 3: do I want Siri on or off? I swear, Tom,

590
00:35:38,280 --> 00:35:41,360
Speaker 3: I've had conversations with friends, and then I look up

591
00:35:41,400 --> 00:35:42,840
Speaker 3: and I see an ad about the thing that we

592
00:35:42,960 --> 00:35:45,440
Speaker 3: just talked about, and I'm just like, bruh, come on.

593
00:35:46,280 --> 00:35:48,959
Speaker 3: So that luckily I'm not doing anything illegal, though, because

594
00:35:49,040 --> 00:35:51,319
Speaker 3: if I was, I probably would definitely turn Cereal off.

595
00:35:51,360 --> 00:35:55,399
Speaker 3: But I'm like, okay, you got Alexa Google Assistant, right,

596
00:35:55,440 --> 00:35:59,200
Speaker 3: helping with task like setting reminders, answering questions, and controlling

597
00:35:59,280 --> 00:36:02,480
Speaker 3: smart devices. So those are some of the virtual assistance.

598
00:36:02,520 --> 00:36:06,120
Speaker 3: And then I mean, shit, get into it.

599
00:36:07,040 --> 00:36:09,640
Speaker 2: You know. I think I think about when you mentioned

600
00:36:09,680 --> 00:36:13,480
Speaker 2: like health care and education, you know, I think about

601
00:36:14,400 --> 00:36:16,320
Speaker 2: the surgery that I had last year.

602
00:36:16,800 --> 00:36:23,239
Speaker 4: Right, it was through the use of robotics. What so.

603
00:36:24,680 --> 00:36:28,400
Speaker 2: You know my doctor was in the room operating the like,

604
00:36:28,600 --> 00:36:35,200
Speaker 2: using the robot. Right, But and obviously I was under anesthesis,

605
00:36:35,239 --> 00:36:37,160
Speaker 2: so I have no idea exactly what it looked like

606
00:36:37,360 --> 00:36:41,120
Speaker 2: I don't know, But what I do know is that

607
00:36:41,560 --> 00:36:44,760
Speaker 2: through the use of technology, through the use of that robot,

608
00:36:44,920 --> 00:36:53,360
Speaker 2: that robot, my surgery recovery was different than the surgery

609
00:36:53,560 --> 00:37:00,239
Speaker 2: that my mom had, that my grandmother had, right, And

610
00:37:00,320 --> 00:37:06,680
Speaker 2: so there are ways in which technology where it can

611
00:37:06,760 --> 00:37:09,640
Speaker 2: it can really improve things.

612
00:37:11,719 --> 00:37:13,360
Speaker 3: Damn im I did I know that That's a really

613
00:37:13,520 --> 00:37:15,759
Speaker 3: really good one. And that's a great example for just

614
00:37:17,040 --> 00:37:20,400
Speaker 3: developments with in the healthcare industry in general.

615
00:37:20,480 --> 00:37:20,640
Speaker 4: Right.

616
00:37:20,760 --> 00:37:22,359
Speaker 3: But I guess the thing is we have to hope

617
00:37:22,360 --> 00:37:25,680
Speaker 3: that when if AI does assist with getting a cure

618
00:37:25,800 --> 00:37:27,840
Speaker 3: for something, that they actually share that with the people

619
00:37:28,040 --> 00:37:30,880
Speaker 3: instead of trying to you know, continue money that I

620
00:37:30,960 --> 00:37:33,920
Speaker 3: don't that I don't know about, but what I do like,

621
00:37:34,000 --> 00:37:35,680
Speaker 3: but what I kid, what I.

622
00:37:35,600 --> 00:37:39,640
Speaker 2: Personally experience was the use of having so so what

623
00:37:39,680 --> 00:37:42,000
Speaker 2: that helped. What that meant was that my doctor wasn't

624
00:37:42,040 --> 00:37:49,000
Speaker 2: necessarily doing the surgery with her hands herself, right, She's

625
00:37:49,239 --> 00:37:51,720
Speaker 2: using the robot and she's able to tell the robot

626
00:37:51,800 --> 00:37:54,680
Speaker 2: like what to do, guide and direct the robot, right.

627
00:37:56,200 --> 00:37:59,280
Speaker 2: And then what that also meant was like less cuts

628
00:37:59,320 --> 00:38:03,840
Speaker 2: for me on my body and so there and so

629
00:38:04,000 --> 00:38:07,319
Speaker 2: I think and again I don't know all the ins

630
00:38:07,360 --> 00:38:09,879
Speaker 2: and outs of exactly what the instrument did, but I

631
00:38:10,000 --> 00:38:12,919
Speaker 2: do know that it was beneficial to not just me

632
00:38:12,960 --> 00:38:17,239
Speaker 2: as a patient, but to my doctor who was performing

633
00:38:17,280 --> 00:38:21,799
Speaker 2: the surgery. Right, My recovery went faster like there, and

634
00:38:21,840 --> 00:38:27,879
Speaker 2: so there are ways in which it can truly be beneficial.

635
00:38:27,920 --> 00:38:30,800
Speaker 2: But it goes back to that quote of the day

636
00:38:30,960 --> 00:38:36,719
Speaker 2: of man with machine, because I don't think that I

637
00:38:36,800 --> 00:38:42,360
Speaker 2: am ready, again asking me this question again in twenty years,

638
00:38:43,320 --> 00:38:47,600
Speaker 2: in this moment, I would not have been ready to

639
00:38:47,760 --> 00:38:50,920
Speaker 2: have surgery performed on me solely by a robot with

640
00:38:50,960 --> 00:38:54,720
Speaker 2: no humans in the room like that. I'm not ready

641
00:38:54,719 --> 00:39:02,080
Speaker 2: for that, right, But I do see the bit of

642
00:39:02,680 --> 00:39:05,839
Speaker 2: having my doctor in the room controlling the.

643
00:39:05,920 --> 00:39:09,399
Speaker 3: Robot, for sure, And that's so incredible that we're even

644
00:39:09,480 --> 00:39:11,000
Speaker 3: in a space to do that today, So I can't

645
00:39:11,000 --> 00:39:11,799
Speaker 3: imagine where we're going to.

646
00:39:11,840 --> 00:39:12,720
Speaker 4: Be in twenty years.

647
00:39:12,840 --> 00:39:16,480
Speaker 3: And then continue to share these common AI applications, Just

648
00:39:16,520 --> 00:39:18,279
Speaker 3: think about it, make a mental note of the ones

649
00:39:18,320 --> 00:39:21,640
Speaker 3: that you are currently using, because we named a couple.

650
00:39:21,680 --> 00:39:25,040
Speaker 3: When you think about like personalized recommendations on Netflix suggesting

651
00:39:25,120 --> 00:39:30,440
Speaker 3: shows right Spotify creating custom playlists, Amazon recommending products based

652
00:39:30,480 --> 00:39:31,400
Speaker 3: on browsing history.

653
00:39:31,520 --> 00:39:32,680
Speaker 4: Law, and if Amazon, don't.

654
00:39:32,560 --> 00:39:36,040
Speaker 3: Stop with that, Amazon, These are all experiences that I

655
00:39:36,120 --> 00:39:39,319
Speaker 3: currently you know, that are part of my daily life.

656
00:39:39,360 --> 00:39:39,480
Speaker 2: Right.

657
00:39:39,480 --> 00:39:41,440
Speaker 3: And then you think about smart home devices, right, so

658
00:39:41,520 --> 00:39:45,640
Speaker 3: AI powered thermostats like Nest or the ring cameras or

659
00:39:45,680 --> 00:39:49,560
Speaker 3: the vacuum what's that vacuum called the vacuum room, but

660
00:39:49,600 --> 00:39:51,160
Speaker 3: the one that's the one that moves around, the.

661
00:39:51,040 --> 00:39:51,839
Speaker 4: One that moves around.

662
00:39:52,320 --> 00:39:54,600
Speaker 2: Yes, I don't have one, but I have friends who do,

663
00:39:54,719 --> 00:39:57,440
Speaker 2: and just seeing what it can do is something.

664
00:39:58,520 --> 00:40:01,720
Speaker 4: Yeah, okay, it's it's powerful. Yeah.

665
00:40:01,800 --> 00:40:04,319
Speaker 3: So those are some of the common AI applications, lady.

666
00:40:04,320 --> 00:40:06,680
Speaker 3: In case you didn't know, then we have some hidden

667
00:40:06,719 --> 00:40:07,840
Speaker 3: AI technologies.

668
00:40:09,280 --> 00:40:17,480
Speaker 2: All right, So all of us have email. Now, I'm

669
00:40:17,480 --> 00:40:20,719
Speaker 2: gonna be honest. I have multiple email accounts.

670
00:40:21,040 --> 00:40:21,279
Speaker 4: Right.

671
00:40:24,440 --> 00:40:27,120
Speaker 2: My most efficient email account is my one that I

672
00:40:27,200 --> 00:40:27,920
Speaker 2: use at work.

673
00:40:30,120 --> 00:40:30,879
Speaker 4: Why is it my.

674
00:40:30,880 --> 00:40:33,879
Speaker 2: Most efficient because I have lots of filter set up.

675
00:40:35,600 --> 00:40:40,320
Speaker 2: If this go to like automatically move to this folder, right,

676
00:40:41,760 --> 00:40:47,320
Speaker 2: that's AI. So, lady, if you're over there patting yourself

677
00:40:47,360 --> 00:40:50,880
Speaker 2: on the back because of how efficient and organized your

678
00:40:51,440 --> 00:40:55,600
Speaker 2: email inboxes, you're using AI and you didn't even know it,

679
00:41:00,000 --> 00:41:01,160
Speaker 2: And what are some other examples?

680
00:41:01,160 --> 00:41:05,120
Speaker 3: See that fraud detection y'all? You know need a bank

681
00:41:05,880 --> 00:41:09,439
Speaker 3: uses AI to detect suspicious transactions. I mean, I didn't

682
00:41:09,560 --> 00:41:12,520
Speaker 3: realize that was AI either. We talked about the sail

683
00:41:13,120 --> 00:41:16,759
Speaker 3: on that, but yes, okay, they really girl.

684
00:41:16,520 --> 00:41:20,880
Speaker 2: Because I mean things sometimes and I'm like, listen, y'all

685
00:41:20,920 --> 00:41:23,920
Speaker 2: just approved another transaction in this very same location.

686
00:41:24,040 --> 00:41:28,319
Speaker 3: But okay, exactly, Dom, you talked about navigation earlier, right,

687
00:41:28,600 --> 00:41:31,440
Speaker 3: So AI and apps like Google Maps and ways providing

688
00:41:31,440 --> 00:41:34,040
Speaker 3: that real time traffic update. So like, there are so

689
00:41:34,040 --> 00:41:39,000
Speaker 3: many ways in which we're already using AI today, And DOM,

690
00:41:39,040 --> 00:41:41,480
Speaker 3: anything else we want to cover before I jump into

691
00:41:42,760 --> 00:41:43,880
Speaker 3: some use cases?

692
00:41:45,280 --> 00:41:47,600
Speaker 2: No, I just I think I want to emphasize that

693
00:41:47,840 --> 00:41:52,560
Speaker 2: it is so like we are you, all of us.

694
00:41:52,640 --> 00:41:54,719
Speaker 2: I just I can't trust that enough is that all

695
00:41:54,800 --> 00:41:57,160
Speaker 2: of us are using it in our day to day lives,

696
00:41:57,960 --> 00:42:01,279
Speaker 2: and we can think of about ways in which it

697
00:42:01,320 --> 00:42:05,080
Speaker 2: can be helpful for us and not and learn to

698
00:42:05,200 --> 00:42:13,440
Speaker 2: embrace certain uses of it while also being mindful of

699
00:42:13,600 --> 00:42:16,879
Speaker 2: how to make it work best for us. Right. Because

700
00:42:16,920 --> 00:42:19,279
Speaker 2: I also think one area that we didn't touch on

701
00:42:20,160 --> 00:42:25,239
Speaker 2: is I think about an academia, like and I say academia,

702
00:42:25,520 --> 00:42:29,400
Speaker 2: meaning the university system, but also even just educating our

703
00:42:29,480 --> 00:42:35,000
Speaker 2: education system in general, and the use. A concern that

704
00:42:35,160 --> 00:42:39,239
Speaker 2: keeps popping up is the use of chat GPT. Now,

705
00:42:39,280 --> 00:42:42,120
Speaker 2: we use AI in lots of other ways in education,

706
00:42:42,280 --> 00:42:42,719
Speaker 2: but what.

707
00:42:42,760 --> 00:42:44,759
Speaker 4: Has been causing concern.

708
00:42:45,760 --> 00:42:51,480
Speaker 2: Is the use of chat GPT. And I think while

709
00:42:51,600 --> 00:42:56,080
Speaker 2: I have not adopted it, I also recognize that I'm

710
00:42:56,080 --> 00:42:59,160
Speaker 2: not a faculty. I'm not in a faculty role anymore currently.

711
00:43:00,400 --> 00:43:02,800
Speaker 2: If I were in a faculty role, I probably would

712
00:43:02,920 --> 00:43:09,880
Speaker 2: have been navigating it more directly. But there are ways

713
00:43:10,000 --> 00:43:16,120
Speaker 2: in which you can use chat GPT smartly. Yeah, and

714
00:43:16,680 --> 00:43:20,759
Speaker 2: to me a couple of quick examples of how to

715
00:43:20,880 --> 00:43:27,000
Speaker 2: use it appropriately. If you're a student, you can use

716
00:43:27,120 --> 00:43:30,640
Speaker 2: chat GPT to create an outline for a paper that

717
00:43:30,680 --> 00:43:37,160
Speaker 2: you're writing. Right, it should not write the whole paper

718
00:43:37,200 --> 00:43:41,160
Speaker 2: for you, because that's where the problems come in. That's

719
00:43:41,200 --> 00:43:43,800
Speaker 2: when you get that's when you deal with issues of

720
00:43:44,480 --> 00:43:56,560
Speaker 2: it's plagiarism, and then beyond that, verifying the sources. I So,

721
00:43:56,760 --> 00:43:59,960
Speaker 2: for me, when I think about it, yeah, I would

722
00:44:00,040 --> 00:44:02,000
Speaker 2: I could use it. If I were writing a paper,

723
00:44:02,880 --> 00:44:05,359
Speaker 2: I would use it to create an outline. I would

724
00:44:05,400 --> 00:44:11,279
Speaker 2: put in the topic question and the overall context of

725
00:44:11,320 --> 00:44:14,000
Speaker 2: what I'm wanting to write, and let it generate an

726
00:44:14,000 --> 00:44:18,160
Speaker 2: outline for me and then from there, and that saves

727
00:44:18,200 --> 00:44:20,720
Speaker 2: a lot of time, because sometimes that's where folks get stuck.

728
00:44:20,760 --> 00:44:25,960
Speaker 2: It's generating that initial outline to start writing. Get that outline,

729
00:44:26,800 --> 00:44:31,439
Speaker 2: and then I can start writing the paper from there.

730
00:44:35,560 --> 00:44:41,719
Speaker 2: I think helping you come up with potential questions that

731
00:44:41,800 --> 00:44:43,920
Speaker 2: you might be at if you're getting ready to go

732
00:44:43,920 --> 00:44:47,560
Speaker 2: on a job interview, you put in the job position

733
00:44:49,800 --> 00:44:54,239
Speaker 2: and it can create some general interview questions that you

734
00:44:54,320 --> 00:44:56,440
Speaker 2: may be asked, and it may and so then that

735
00:44:56,480 --> 00:45:00,919
Speaker 2: can help you prepare for the interview, right. It could

736
00:45:00,960 --> 00:45:03,520
Speaker 2: also help you generate questions that you might want to

737
00:45:03,760 --> 00:45:12,600
Speaker 2: ask your potential employer during the interview. However, you still

738
00:45:12,719 --> 00:45:14,680
Speaker 2: have the final say in it. And I think that's

739
00:45:14,680 --> 00:45:18,120
Speaker 2: where people get messed up, is that they're relying on

740
00:45:18,200 --> 00:45:20,600
Speaker 2: it to solely do all the work.

741
00:45:21,960 --> 00:45:25,719
Speaker 3: Yeah, which, yeah, I don't think that's very wise, especially

742
00:45:25,800 --> 00:45:27,640
Speaker 3: like Okay, so Dom, you just gave a couple of

743
00:45:27,680 --> 00:45:29,880
Speaker 3: great examples, and I think about the way I use

744
00:45:29,960 --> 00:45:30,440
Speaker 3: chat GPT.

745
00:45:30,560 --> 00:45:33,000
Speaker 4: I use it daily, and I was definitely a late

746
00:45:33,040 --> 00:45:33,560
Speaker 4: adopter Becau.

747
00:45:33,560 --> 00:45:35,000
Speaker 3: When I first heard about it, I'm like, I A'm

748
00:45:35,080 --> 00:45:38,160
Speaker 3: trying this, and then I kept, you know, hearing that okay,

749
00:45:38,200 --> 00:45:39,640
Speaker 3: you should use it, could help you with this, and

750
00:45:39,680 --> 00:45:41,279
Speaker 3: so I tested it, and then ever since then I

751
00:45:41,360 --> 00:45:43,239
Speaker 3: was like, oh my gosh, I'm sold. And so I

752
00:45:43,239 --> 00:45:45,440
Speaker 3: think that even when I'm using it to draft emails

753
00:45:45,560 --> 00:45:48,920
Speaker 3: or you know, blog posts or even podcast outlines, I'm

754
00:45:48,960 --> 00:45:52,239
Speaker 3: always providing it with really great detailed prompts. But then

755
00:45:52,239 --> 00:45:55,239
Speaker 3: I also tweak it to be my language, right, like

756
00:45:55,280 --> 00:45:58,040
Speaker 3: I tweet it to sound like me. I make it

757
00:45:58,120 --> 00:46:00,600
Speaker 3: my own versus using me, like you said, to do

758
00:46:00,640 --> 00:46:02,560
Speaker 3: all the work. So I would say that I think

759
00:46:02,640 --> 00:46:05,360
Speaker 3: you can also leverage it for brainstorming sessions. So sometimes

760
00:46:05,400 --> 00:46:07,640
Speaker 3: if I'm like having a creative block, if I need

761
00:46:07,680 --> 00:46:10,600
Speaker 3: some topics to kind of give my creative juices flowing,

762
00:46:10,640 --> 00:46:13,439
Speaker 3: I'll use it for that. Scheduling and planning as well,

763
00:46:13,480 --> 00:46:17,960
Speaker 3: so like meeting agenda outlines, travel tips, even recipes. I

764
00:46:18,040 --> 00:46:20,880
Speaker 3: was making this homemade body butter the other day, and

765
00:46:20,880 --> 00:46:22,400
Speaker 3: I'll put in the chat tobt like what would be

766
00:46:22,400 --> 00:46:24,080
Speaker 3: the ingredient is to make a body but it's like

767
00:46:24,200 --> 00:46:27,080
Speaker 3: fluffy and smells good and all that and then it

768
00:46:27,080 --> 00:46:30,000
Speaker 3: comes up with it. So I think that it can

769
00:46:30,040 --> 00:46:33,120
Speaker 3: be used for daily use in these easy ways. But

770
00:46:33,160 --> 00:46:37,040
Speaker 3: I think that the key is, Lady, if my personal

771
00:46:37,080 --> 00:46:38,759
Speaker 3: I know you didn't ask for my advice, i'm'a just

772
00:46:38,760 --> 00:46:41,120
Speaker 3: give you some advice anyway. Or my perspective on this,

773
00:46:41,280 --> 00:46:44,680
Speaker 3: I think that if you see society, and this isn't

774
00:46:44,719 --> 00:46:46,600
Speaker 3: always the case, but in this case, I would say

775
00:46:46,680 --> 00:46:48,600
Speaker 3: it is the case. So if you see society running

776
00:46:48,600 --> 00:46:51,560
Speaker 3: in a direction, if you see these huge companies investing

777
00:46:51,600 --> 00:46:54,560
Speaker 3: in an industry, don't shy away from it, because I

778
00:46:54,600 --> 00:46:57,960
Speaker 3: think the thing is you could get left behind. And

779
00:46:58,000 --> 00:47:00,279
Speaker 3: I think that when we get left behind and close

780
00:47:00,320 --> 00:47:04,359
Speaker 3: our mind off to new experiences, then we find ourselves.

781
00:47:05,280 --> 00:47:06,160
Speaker 4: You're literally behind.

782
00:47:06,200 --> 00:47:09,440
Speaker 3: So other people have developed skills and you know, transferable

783
00:47:09,480 --> 00:47:11,880
Speaker 3: skills and other attributes so that they can now leverage

784
00:47:11,880 --> 00:47:14,160
Speaker 3: in this new world. Because we're really walking into a

785
00:47:14,200 --> 00:47:16,279
Speaker 3: new world and it's still very early. And so I

786
00:47:16,320 --> 00:47:18,319
Speaker 3: think that the best thing we can do, we can

787
00:47:18,360 --> 00:47:21,040
Speaker 3: all do right now is do our research figure out

788
00:47:21,719 --> 00:47:24,279
Speaker 3: how we can kind of dip our toes in and

789
00:47:24,320 --> 00:47:26,279
Speaker 3: in a way that makes us feel comfortable, right because

790
00:47:26,320 --> 00:47:29,320
Speaker 3: our comfort is definitely so important as we're trying to

791
00:47:29,400 --> 00:47:31,719
Speaker 3: shift and change and move into this new space. And

792
00:47:31,800 --> 00:47:34,480
Speaker 3: so for me it was just Okay, I'm going to

793
00:47:34,520 --> 00:47:37,120
Speaker 3: go into chat GBT and then working in Silicon Valley.

794
00:47:37,160 --> 00:47:41,279
Speaker 3: I mean I'm literally seeing companies one be built off

795
00:47:41,320 --> 00:47:43,760
Speaker 3: of AI in general, like their whole focus is AI,

796
00:47:44,200 --> 00:47:47,799
Speaker 3: or companies who are totally shifting their strategies because this

797
00:47:47,840 --> 00:47:50,360
Speaker 3: is where this is where we're headed, right. So I

798
00:47:50,360 --> 00:47:52,000
Speaker 3: think if you can either get ahead of the curve

799
00:47:52,440 --> 00:47:54,719
Speaker 3: or figure out, okay, how can I how can I

800
00:47:54,760 --> 00:47:58,319
Speaker 3: adjust before they make me adjust? Because it's very uncomfortable

801
00:47:58,520 --> 00:48:01,560
Speaker 3: when you're in a position without choice and now you

802
00:48:01,719 --> 00:48:04,240
Speaker 3: have to do what they want you to do because

803
00:48:04,280 --> 00:48:06,839
Speaker 3: now the world has already changed and you didn't kind

804
00:48:06,880 --> 00:48:08,560
Speaker 3: of learn a little bit and figure out your own

805
00:48:08,640 --> 00:48:10,719
Speaker 3: journey before you were forced to do it.

806
00:48:10,920 --> 00:48:14,000
Speaker 2: So yeah, I think those are great points. And I

807
00:48:14,000 --> 00:48:16,120
Speaker 2: think the other piece that I would add to that

808
00:48:16,920 --> 00:48:25,799
Speaker 2: is learning how to do things manually. That so there

809
00:48:25,840 --> 00:48:29,319
Speaker 2: are some things that we rely on technology for that

810
00:48:29,960 --> 00:48:34,239
Speaker 2: are like yep, technology can have that, right, yeah, but

811
00:48:34,360 --> 00:48:40,000
Speaker 2: there are other things that it's important, I believe for

812
00:48:40,160 --> 00:48:44,440
Speaker 2: us to still know how to do it ourselves because

813
00:48:44,560 --> 00:48:46,640
Speaker 2: technology is not fail proof.

814
00:48:47,200 --> 00:48:47,480
Speaker 4: Right.

815
00:48:48,480 --> 00:48:54,000
Speaker 2: So going back to my example of navigation, there are

816
00:48:54,080 --> 00:49:03,280
Speaker 2: times when you're driving somewhere and cell phone stops working, right,

817
00:49:04,120 --> 00:49:07,840
Speaker 2: So whether it's because you're bat or died, or because

818
00:49:08,680 --> 00:49:12,600
Speaker 2: there's no connection, right, like you're you're in a remote space.

819
00:49:14,600 --> 00:49:18,880
Speaker 2: So learning some basic skills in how to navigate to

820
00:49:18,960 --> 00:49:24,000
Speaker 2: different places, right. I think that's important when you have

821
00:49:24,160 --> 00:49:27,759
Speaker 2: technology doing certain performing certain tasks for you in your home.

822
00:49:28,880 --> 00:49:34,239
Speaker 2: While I love it in terms of the convenience and efficiency,

823
00:49:34,880 --> 00:49:37,440
Speaker 2: if the power goes out, who's doing it.

824
00:49:40,400 --> 00:49:41,040
Speaker 4: Like you?

825
00:49:41,239 --> 00:49:48,000
Speaker 2: Or if that machine stops working, who's doing it and so?

826
00:49:48,239 --> 00:49:52,440
Speaker 2: And then going back to using chat, GPT or predictive

827
00:49:52,520 --> 00:49:57,919
Speaker 2: text when you are working on a paper or presentation,

828
00:49:59,280 --> 00:50:04,000
Speaker 2: you still need to have basic writing skills so that

829
00:50:04,120 --> 00:50:07,759
Speaker 2: you know so that you can check the technology that

830
00:50:07,840 --> 00:50:11,160
Speaker 2: you're using, so that you're not submitting something that's.

831
00:50:11,040 --> 00:50:13,920
Speaker 4: Inappropriate or completely wrong or unethical.

832
00:50:17,840 --> 00:50:19,480
Speaker 3: You hit the nail on the head dome. I think

833
00:50:19,480 --> 00:50:21,640
Speaker 3: there are lots of questions for us all to consider.

834
00:50:21,680 --> 00:50:23,239
Speaker 3: I think we pretty much. I was going to say,

835
00:50:23,239 --> 00:50:25,360
Speaker 3: should we talk about the inside scoops of AI and

836
00:50:25,400 --> 00:50:27,040
Speaker 3: silicon value? But I feel like We covered a lot

837
00:50:27,080 --> 00:50:30,200
Speaker 3: of that in the conversation, and so the lady, there

838
00:50:30,200 --> 00:50:32,799
Speaker 3: are just a couple of questions that we can leave

839
00:50:32,840 --> 00:50:35,160
Speaker 3: you with as we hop into the after show to

840
00:50:35,280 --> 00:50:38,279
Speaker 3: chat more about this and our experiences with AI. So,

841
00:50:39,440 --> 00:50:42,160
Speaker 3: how do you think AI advancements will impact your industry

842
00:50:42,239 --> 00:50:44,320
Speaker 3: or daily life in the next five to ten years,

843
00:50:44,400 --> 00:50:46,759
Speaker 3: just like based on the research you've seen, based on

844
00:50:47,320 --> 00:50:49,680
Speaker 3: you know, what industry you're in. I think it'd be

845
00:50:49,719 --> 00:50:51,440
Speaker 3: a fun question to explore, right, just to kind of

846
00:50:51,440 --> 00:50:54,360
Speaker 3: get some ideas so that you can hopefully prepare yourself

847
00:50:54,400 --> 00:50:56,960
Speaker 3: and your family for that. Right, I would say, also

848
00:50:57,080 --> 00:50:59,840
Speaker 3: like what ethical concerns do you have about the future

849
00:51:00,760 --> 00:51:03,960
Speaker 3: and what excite excites you most about AI? Right, we

850
00:51:04,080 --> 00:51:06,200
Speaker 3: had a very interesting space in society down We have

851
00:51:06,239 --> 00:51:09,799
Speaker 3: seen so much by way of advancements, and so it's

852
00:51:09,880 --> 00:51:12,560
Speaker 3: it's you know, it's deep when it blows you away,

853
00:51:12,600 --> 00:51:14,359
Speaker 3: like when we're some of some of the psychology we've

854
00:51:14,360 --> 00:51:16,440
Speaker 3: seen come about and it's like, Okay, this is to

855
00:51:16,480 --> 00:51:18,120
Speaker 3: be expected, but some of this ship I'm.

856
00:51:18,000 --> 00:51:22,920
Speaker 4: Like, what you do? What? It's wild? All right? Lady,

857
00:51:23,200 --> 00:51:25,160
Speaker 4: what else should we cover? Do you think we do?

858
00:51:25,160 --> 00:51:28,680
Speaker 4: You think we did this casual conversation justice.

859
00:51:29,640 --> 00:51:32,480
Speaker 2: Well, I think ted GPT said that we did so,

860
00:51:34,440 --> 00:51:38,160
Speaker 2: but we created or tat GPT created mm hmm.

861
00:51:38,640 --> 00:51:39,400
Speaker 4: All right, y'all.

862
00:51:39,440 --> 00:51:42,160
Speaker 3: Well, we're gonna catch you in the after show, so

863
00:51:42,239 --> 00:51:44,279
Speaker 3: head on over to her Space podcast dot com, click

864
00:51:44,320 --> 00:51:47,799
Speaker 3: on Patreon, and we will cut you on the after show.

865
00:51:47,880 --> 00:51:53,440
Speaker 2: Girl Bye, Hey lady, is doctor dom here from the

866
00:51:53,480 --> 00:51:57,880
Speaker 2: Cultivating her Space Podcast. Are you currently a resident of

867
00:51:57,920 --> 00:52:03,200
Speaker 2: the state of California and contemplating starting your therapy journey? Well,

868
00:52:03,239 --> 00:52:07,440
Speaker 2: if so, please reach out to me at doctor Dominique

869
00:52:07,440 --> 00:52:12,160
Speaker 2: Brusard dot com. That's d R D O M I

870
00:52:13,040 --> 00:52:17,600
Speaker 2: N I q U E B R O U S

871
00:52:17,880 --> 00:52:22,680
Speaker 2: s ar D dot com to schedule a free fifteen

872
00:52:22,760 --> 00:52:28,160
Speaker 2: minute consultation. I look forward to hearing from you. Thanks

873
00:52:28,160 --> 00:52:32,239
Speaker 2: for joining us today. Please note that our show may

874
00:52:32,239 --> 00:52:38,840
Speaker 2: contain conversations about self help, advice, self empowerment, and mental health,

875
00:52:39,280 --> 00:52:42,200
Speaker 2: but is by no means meant to be a substitute

876
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Speaker 2: for an ongoing formal relationship with a trained mental health provider.

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Speaker 2: If you are someone you know is in need of

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Speaker 2: mental health care, please visit a Therapy for Black Girls

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Speaker 2: directory Psychology today or contact your insurance provider.

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Speaker 3: If you like, for you heard and want to keep

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Speaker 3: the conversation going, visit our website at herspace podcast dot

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Speaker 3: com and be sure to click the Patreon link to

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Speaker 3: get access to video content, bonuses, and our weekly after

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Speaker 3: show and before we meet again, repeat after me. My

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Speaker 3: energy is a gift. I choose to share it wisely

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Speaker 3: and leave a positive imprint on the world.