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(Five Seats Preview!) Using AI to Build Human Connection | Rebecca Metters of Gythr, Gauntlet AI, and Black is Tech
Episode 154 • Bonus Episode • 7th October 2026 • Wellness Big Sis: The Pod • Dr. Kelsy Vick
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Rebecca Metters doesn't vibe code. She calls what she does directed intelligence: using AI to build real products while understanding every line it changes. It's how she built Gythr, an all in one platform for event organizers, without a technical background. On this episode of Five Seats, Dr. Kelsy Vick sits down with Rebecca, founder of Gythr, COO of Black is Tech, and part of the team at Gauntlet AI, to talk about using AI to build human connection.

Rebecca shares why she built Gythr so she could finally experience the rooms she was creating, and how she turned conference data into a Spotify Wrapped for attendees. She also walks through the AI helpers that keep her honest in her personal life, like a workout tracker that won't show her morning reports until she logs a workout, and a bot named Martha who tells her to stop spending money. You'll also learn her step by step method for building an AI voice profile, so your drafts actually sound like you and not like a corporate email.

We also get into why she refuses to believe anything is ever "enough," why curiosity matters more than knowledge, and why you can't shape where AI goes from the sidelines. Then Rebecca fills the five seats at her own dinner party, from the family who taught her to always stay and help clean up to the female founders who showed her how to show up as herself.

Five Seats is a dinner party style interview series from By Maven Media, where ambitious women share how they earned their seat in the room and who they'd want at their own table. New episodes every Tuesday.

Connect with Rebecca:

LinkedIn: https://www.linkedin.com/in/rebeccametters/

Gythr: https://www.gythr.com/

Resources:

Grok Bot: https://x.ai/news/introducing-grok-bot

WhisprFlow: https://wisprflow.ai/

Granola: https://www.granola.ai/

Welcome to the dinner party!

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Dr. Kelsy Vick Instagram

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Transcripts

Speaker:

This week, I'm bringing

you to a different table.

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:

Welcome back to Wellness Fixes the Pod.

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I'm your host, Dr.

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Kelsey Vick, a board-certified orthopedic

doctor of physical therapy and a

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women's health physical therapist If

you caught the bonus episode, you know

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I just launched a new conversation

series called Five Seats Each

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episode, I sit down with one woman

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Who made space for herself in a room

that wasn't necessarily built for her

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We talk about how she got

her seat at the table.

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And at the end, she tells me the five

people she'd want seated at her own

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The first three episodes came out

yesterday And I wanted you to hear them

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:

right here so you get a little preview

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:

today I'm sitting down with Rebecca of

Gather Gauntlet AI and Black is Tech

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And we chat about using AI to

build real human connection

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And why women need to be on the playing

field in order to shape AI Five Seats

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has its own feed with new episodes every

Tuesday So if you love this one, search

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Five Seats wherever you're listening

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find the link in the show notes below

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Rebecca Meadors hates

the phrase vibe coding.

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She calls what she does

directed intelligence.

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Trust but verify

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It's how she built a software

company Focusing on bringing that

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human connection to in-person events

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without even having a

technical background.

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Rebecca is the founder of Gather An

all-in-one platform for event organizers.

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She's the COO of Black is Tech and

part of the team at Gauntlet AI

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Today, we get into how she built

Gather so that she can actually

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experience the rooms that she was

helping to create the AI helpers that

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keep her honest in her personal life

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how to build a voice profile so

your AI can actually sound like you

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And why she believes you can't shape

where AI goes from the sidelines Let's

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welcome Rebecca to the dinner party

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Kelsy: what is one assumption

people make about what you do,

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and what is the question you

wish they'd ask you instead?

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. Rebecca: I think the assumption is…

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There's,

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major ones 'cause of the two hats I wear.

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One, as an organizer, they

think I just throw parties.

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Hate

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it.

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and then as a founder, because I'm

non-technical, I just vibe code.

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Also hate that.

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And so I think the better,

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inquiry, if that is where their

mind is going, is, like, why?

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" Why are you an organizer?"

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Because then it lets me tell

the story of I really appreciate

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community, and I wanna foster that.

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I am…

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Why are you building software

when you're non-technical?

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been in environments and around

developers who have given me the tools

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and the resources to teach myself.

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So it's not…

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I think people kind of

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Like, Leave

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it at surface level, and

unfortunately, that does not allow

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us to really expose each other

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for who we really are, 'cause you

just take what you think you can see.

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Kelsy: So right back at you, why do

you enjoy being an organizer, and why

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do you feel like being a non-technical

founder is a strength of yours?

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Rebecca: From being an organizer,

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because I, I value community.

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So I'm, I was always the one who

loved getting the family together and

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putting on all these events, and it

wasn't the, for the theme or it wasn't

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for how it looked on social media.

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was mostly so that the memories created in

the space had a place to be done, right?

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with organizing conferences

and community events,

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I find I have been

directly impacted by access

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because

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of my community.

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career, the things I'm able to

do, , all of that has been because

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the community that I'm a part of.

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in order for you to get access

to the community, you gotta

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have some place to meet.

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an organizer, that's my job.

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My sole job is to create spaces where

the right people can find each other.

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that, that's it.

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At baseline, that's all I'm doing.

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then as a founder-

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the non-technical, like what

gives me the right, I think

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people

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, probably say,

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is I'm really curious, and

I have domain expertise.

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I'm building in a space that I

know very well, 10 years deep,

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and I think anybody,

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when you're looking at value of

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and in the CEO, the CTO, whoever you're…

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Like, whoever you're actually buying

when you're investing in a business,

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their domain expertise is what

keeps that business going.

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It's not that they have a s- a degree.

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It's not that they're able to write code.

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It's

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have domain expertise,

and they can dig in,

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I have that.

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I just so happen to also have tools

and resources available to me to

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make that a reality versus giving

the idea to somebody else to make.

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Kelsy: we met at a Women in AI event-

We did … and you were such a wonderful

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panelist, which is exactly why I

wanted to have you on Five Seeds.

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Thank you.

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But you mentioned a little bit

about domain expertise here- … and

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you mentioned it during the panel.

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You also mentioned the phrase

vibe coding, and I know you're

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not a fan of that phrase.

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Rebecca: I hate it.

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Kelsy: And you have coined the

phrase directed intelligence.

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Yes.

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Why is that transition

so important to you?

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Rebecca: Yeah, I think it should

be important to anybody who has

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the ability to build, especially

if you have domain expertise.

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and

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very important because of where

we are with access and technology.

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It used to be that only people who could

write exact lines of code get things done.

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That is no longer the case.

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do have people who vibe code,

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literally give a prompt to the AI

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and have no idea what it's doing in

the background, don't really care

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what it's doing as long as what they

see out in front of them is what

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they thought it was going to be.

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then you have directed

intelligence, which I am using

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tools at my resource to home in on

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what I am trying to accomplish, right?

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And so it's not just

giving prompts to an AI.

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I

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understand how my database works.

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I understand what the

lines of code will do.

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I understand what my prompts will affect.

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also do things like

have it do a read back,

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right?

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I have a

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very, straight

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forward skill.

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It's called the what did we just do?

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And I run it after every,

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session, a coding session.

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I'm like, "All right, what--

how many lines of code changed?

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What are we changing?

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What's the impact?

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What security functions happened?"

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All of that,

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because I think it's important

to understand your product.

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Also, when I first started,

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it never got to commit anything by itself.

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It lit- I literally had to read

everything that was happening

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so I could start to learn,

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that's the difference between vibe coding

and trusting the system to do whatever,

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and directed intelligence, which

I've also said is trust but verify.

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If some- an investor came to

me or a partner came to me

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asked me how the system is connected

or what it has the capability of doing,

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I'm trying to get SOC 2 compliant

right now, that's all paperwork

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that I have to fill out.

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My AI can't do that, and I'm

only able to do that because

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I understand what's happening.

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Kelsy: It's an example of how

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AI can be used in such a positive way.

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many people are fearful

of the future with AI,

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and

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fearful of what it could become, And

you're really using this technology,

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this advancing technology, to foster

in-person community and connection.

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Exactly.

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Which is

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This, this cool- This

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Rebecca: dichotomy.

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Kelsy: Yes.

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Yeah.

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Merging of the two.

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So I think it's super important

for people to hear other people,

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first of all, non-technical

people, because we all think,

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oh, AI,

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I think my husband works in AI,

or my boyfriend or my friend.

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I

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think that's it.

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But to hear someone who has been in it

for, I know you've said you've used it

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for, years- Years … and years.

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that learning curve has paid off

for you in the way that you're able

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to use it now in your business.

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Rebecca: Yeah.

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think people get scared because

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the unknown, but there's a-

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I'm sure it's like a proverb somewhere.

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but

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every item is either a weapon or a tool,

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and

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AI is the same, right?

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You can either weaponize

it or it can become a tool.

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A hammer builds a house.

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It's also a murder weapon on a

lot- … of the TV shows we see, right?

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And so it's like

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… , the fearful should not come from,

"I think it's gonna take over and

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do all these terrible things."

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People are the only thing to be

feared, to be completely honest.

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and what we do with our access, and so

as long as you personally are taking

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responsibility for what you do with that

access, there really is no fear, right?

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The world's gonna be what

the world's gonna be.

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But as long as you're placing

yourself in the stream

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of, trying to, one, learn it so

you don't get outpaced by it,

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but also how do you use it

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to, help?

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use it to improve?

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How do you use it

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those spaces and areas

where people neglect?

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can take you so far now,

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I think it's really

important for people to,

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onto that.

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Kelsy: would you say your seat as

both an organizer and a founder- Okay

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was given, earned, or built?

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Rebecca: ironic 'cause

I think it's all three,

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probably lean more into

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built, except I have to earn it every day.

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to re-earn that seat every

single day, whether it's Gather

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Or being an organizer or just

working at my job at Gauntlet.

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every day, I have to prove

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That

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seat is mine, right?

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And not from a, everybody has

expectations of me, but like I said,

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curiosity is a big thing of mine,

but it's intentional curiosity.

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If I'm not learning, then I'm wasting

my time, and that's what I mean by

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it, it has to be earned every day.

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Kelsy: Yeah, you can't just

build it and then slack off.

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Especially with the industry

that you're in- Yeah … where

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it's constantly evolving.

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So as you were building

Gather specifically,

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just your utilization of AI and

even your personal life too,

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is one rule you follow and

one rule you refuse to?

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Rebecca: One rule I follow and

one rule I refuse to follow.

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Okay, I'm probably gonna

start with refuse to follow.

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Love

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Kelsy: it.

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Rebecca: refuse to follow

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that it's enough.

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I made this shirt a long time ago

And it has the word enough on it, and

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it's crossed out, and it says more.

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and the reason why I think that's

really important is because

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people get to a certain point,

and then they go, "That's it.

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I accomplished what I wanna accomplish."

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And I'm not saying you do not have the

right to revel in your accomplishments

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and breathe through your achievements,

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the moment you become complacent,

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you fail.

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so I'm never complacent, even if it's just

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wanna learn more about the industry.

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I'm not gonna change the software

at all, but I wanna learn what

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people are expecting when they go to

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and how the attendees are experiencing it.

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Or

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how can I use this product to

help physical therapists, right?

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What parts of this product

will be very helpful?

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I think that is something I refuse to do.

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I refuse for it to just be enough.

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And then a rule that I follow

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matters more than knowledge

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Are not curious, your knowledge ends.

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It dies immediately because

the world is ever-evolving.

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We are very complex

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individuals, and as a coalition

of us, we are even more complex.

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And your ability to be curious, and,

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curious, not just, " What do you do?"

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"Oh, that's so nice,"

and not actually care.

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Care about the person, and then your

curiosity will take over, right?

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You don't have to care about their job

or what they wear, where they bought

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their dress, but just curiosity.

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You'll find something that connects you,

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that takes you a really long way.

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Kelsy: I love curiosity as yours.

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It's one of my values I've realized,

where it's like, okay, as soon as I

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start getting complacent, whether it's

with my day-to-day routine or whatever,

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as soon as I start to add that, that

little bit of curiosity back in-

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start to just thrive.

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I'm like, okay, I'm always wanting

to learn a little bit more here,

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learn a little bit more here,

learn a little bit more here.

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That's why I want five seats, 'cause

I wanna have these conversations with

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who have way more knowledge on the

subject, but who are also curious-

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Yeah … and willing to grow with

whatever industry it is that they're,

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an expert in.

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So I love that

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said curiosity is greater than

knowledge, 'cause I agree.

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I've met so many people too where

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got

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so much knowledge, but they don't

have the curiosity to expand that.

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Rebecca: They can't, and

they can't really use it.

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If you're not curious, you cannot

deploy the knowledge you have.

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Kelsy: You mentioned at the Women

in AI event too the way that you

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use AI in your personal life.

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I want you to chat a

little bit about that.

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We've talked a lot about the

business side of things, but

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me a little bit of the fun things

you do in your personal life with AI.

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I

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Rebecca: think you're probably

talking about the gym story?

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Kelsy: Exactly.

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Okay.

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Rebecca: all right.

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So I am on, for those of you watching,

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hopefully the next time y'all see

me it'll have taken some effect.

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I am on a, a health

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or a

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new,

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walk in life.

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I'm not even gonna call it a journey.

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I love it.

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I love it.

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I'm on a health new walk in life.

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and obviously I'm like, I

am so new to all of this,

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and I was like, "But

you gotta do something."

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And so I went to the community gym.

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I, like I say, I have

a very nice community.

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The community gym, and I went and

took pictures of all the equipment.

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Every single thing I could see

in there I took a picture of.

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And then I went back to my preferred AI

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LLM, Large Language Model for

those of you learning with us.

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and I go, "Here's what I want," right?

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And I gave it some medical history.

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Now,

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disclaimer-

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LLMs are not doctors.

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But having context matters, right?

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and I gave it all the pictures,

and here's w- my goals,

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what I wanna do.

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I have a

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like

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very inexpensive Dexa body

scan scale at home, Renpho.

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out to them 'cause I love it

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you like a body complexity

report and all that good stuff.

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And so I uploaded all that

information, and I said, "I need

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you to make me a foolproof plan."

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And I always tell my

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AI, "Talk to me like I'm a fifth grader,"

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because it will tend to

get very much so advanced.

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laid out a foolproof plan.

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I put in the foods I hated.

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I put in macros that I was wanting to hit.

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I put in just as much…

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I word vomit, as you guys know.

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as I wanted, using my voice, just talk,

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talk, talk, And it gave me a great plan.

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Yeah, it…

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incredible.

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Kelsy: How have you used the,

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workouts to influence different

things that you're given, different

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rewards that you get later on, too?

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Rebecca: Okay.

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So I connected

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my LLM, or I connected the…

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It made me like a artifact,

which is like a side app.

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I connected it to my Apple Health,

'cause I wear an Apple Watch a lot,

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I basically told it

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that

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there's certain things that I like,

and it gives me reports on things

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daily, gives me access to things daily.

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and I told it that if I

didn't work out, don't give me

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something that I'm asking for,

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it caused me to be a lot more consistent

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there's some reports I like in the

morning that I can't get because

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it refuses to give them to me

until my, my heart rate spikes in a

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certain manner, or I log a workout

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Apple Health-

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of that is tracked.

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So yeah, I've cornered myself-

Yes … is what's happened.

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Kelsy: Hey, sometimes it's like, okay,

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current Rebecca might not wanna

do this, but future Rebecca will

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thank you later for doing it.

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Rebecca: She

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me out every day, but then she's excited

about seeing progress on the scale.

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Kelsy: Yes.

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Yes.

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For sure.

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I have done a similar thing with

a DEXA scan, and I have it in,

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preferred LLM, and I call

it the hottest version era.

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Ooh.

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So it's basically a tracker that I

use- I- … and I'm just like- Love

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that … okay, these are my goals,

but it's titled Hottest Version Era,

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and I've been going and I love it.

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It's a scale in my, you know- That

is amazing … my preferred LLM.

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I love it.

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So it's been helpful, and especially

with the DEXA, 'cause it is like data.

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Yep.

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and I'm

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do another DEXA scan

here in October, November

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it- To be able to see

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… see.

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Yeah.

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So-

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Rebecca: Progress

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Kelsy: is everything

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I think it's

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way to use it, too.

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Rebecca: exciting.

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Rebecca Cam: So you mentioned when you

are talking through these things with your

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AI that you're actually using your words.

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So what are some of the,

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like,

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tools

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that you use to guide,

in your personal life-

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Mm-hmm … some of the uses of AI?

392

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Rebecca: So I use Granola

a lot, uh, for voice.

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I have

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recently gotten into using Grok Bot.

395

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Oh, I've been playing

around with it a little.

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:

Yeah.

397

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I think what's really

unique and nice about…

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Uh, I don't wanna say unique 'cause

there are some open sources, but

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obviously Grok has a little bit more

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weight underneath it.

401

:

. They have their own computer, so it's

agents that have their own computer.

402

:

They don't need your access to do things.

403

:

, And so I think people think chat, and

chat is just a conversation, and then

404

:

there are agents who can run a skill.

405

:

They can run a set of

instructions consistently,

406

:

and then there's a bot who can do both

of those things and think and do and

407

:

take action on whatever the idea is.

408

:

And so I have a few bots that do a

lot of different things every day.

409

:

I know you had mentioned Whisper Flow as

410

:

the

411

:

talking through- Yes … and just getting-

412

:

So Granola- … Gran- … and Whisper

Flow do very similar- Similar.

413

:

Okay

414

:

similar things.

415

:

They're apps to translate your voice.

416

:

Now, I talk in a very specific vernacular,

AAVE, for those of you who wanna know.

417

:

, And so sometimes it's difficult.

418

:

Like

419

:

I say,

420

:

" Gonna"

421

:

instead of- Ah … going to.

422

:

Okay.

423

:

Uh, and so sometimes the different

voice models are better to actually

424

:

capture what I'm saying 'cause they can

425

:

gather

426

:

and gather- Mm-hmm.

427

:

not say things.

428

:

Mm-hmm.

429

:

So,

430

:

um, and

431

:

then Grok Bot for actionable items.

432

:

So I am really hyper-focusing on,

433

:

What my financial future looks like,

and so I have a few different bots that

434

:

work together, and that, I think that's

435

:

the, the most powerful part.

436

:

So I have a bot that's specifically

just reviewing my credit report.

437

:

And

438

:

it's the, you know, the,

439

:

little free one you get on,

440

:

like, Credit Karma or whatever.

441

:

But

442

:

as something changes, it

updates my financial planner,

443

:

and then my financial planner knows

444

:

this

445

:

is where our savings is.

446

:

"Oh, we need to pay this bill a

little bit a- ahead so that we can

447

:

up our score," or whatever the thing is.

448

:

So because they work together, though,

they can communicate without me.

449

:

, And so when it sees an anomaly, it

immediately goes and, like, tells on me

450

:

a little bit, which I think is funny.

451

:

"Hey, Rebecca just spent this

much money in her bank account."

452

:

And I'm like, "Don't tell everybody."

453

:

Um, but then,

454

:

you know, then I get in trouble, right?

455

:

Mm-hmm.

456

:

I

457

:

have

458

:

a bot called Martha,

459

:

and all Martha's job is to do

is to tell me, like, what I

460

:

need to be doing for the day.

461

:

And Martha's like, "Stop spending money."

462

:

That was, like, her

463

:

And it was a d- I don't know

what I was doing that day.

464

:

I was having great time-

465

:

A fun,

466

:

a fun time … and, like,

targeting Marshalls-

467

:

and everything.

468

:

Yes, yes.

469

:

Uh, and she's like, "S- today's

goal, don't spend any money."

470

:

And I was like, "Okay, fair."

471

:

Fine, Martha.

472

:

Fine, Martha.

473

:

Ooh,

474

:

Kelsy: that's awesome.

475

:

Okay.

476

:

I feel like also you talked about, I

think a lot of women who are starting to

477

:

understand AI and use it in their

own life get frustrated with the

478

:

roundabout nature sometimes of,

479

:

Whatever model they're using- Yeah

480

:

where it can go,

481

:

you know,

482

:

if you're like, "Hey, draft me an

email to reply to this person,"

483

:

and it sounds very AI-driven.

484

:

You've talked a lot about a voice

profile, which I feel like is a very

485

:

tactical way people can

start to use AI in a really

486

:

Foundational way that

they can stop yelling

487

:

at

488

:

their,

489

:

at their computer.

490

:

Did you say that?

491

:

Rebecca: Yes, yes.

492

:

Kelsy: Yeah.

493

:

So talk a little bit about that too, just,

like, how to create a voice profile to

494

:

make sure that it's

495

:

mimicking you a little bit-

Mm … before it drafts something or,

496

:

that

497

:

way you're basically

not getting so angry at

498

:

your, your robots.

499

:

Rebecca: For sure.

500

:

Let me start by saying,

501

:

if

502

:

anybody tells you

503

:

to what day is it?

504

:

This is September the- 9th

505

:

9th,

506

:

2026, okay?

507

:

'Cause we don't know where

technology's gonna go.

508

:

Yes.

509

:

But right now,

510

:

there is not a single

LLM that can hear tone.

511

:

So if they're telling you to

talk to your AI so it can get to

512

:

know your tone, they're wrong.

513

:

All it does is translate your words

into text because it understands text.

514

:

Now, that is different

515

:

than an actual voice profile.

516

:

What does, what does my

personal brand sound like?

517

:

, And I think the most tactical way

for people to do this, I did it in,

518

:

like, versions throughout

a, a course of time,

519

:

is you can ask your LLM to

interview you for your voice.

520

:

, And it will generate questions and ask,

and you just answer your questions, right?

521

:

, I will encourage people to answer

the questions via voice note.

522

:

That way you're not,

523

:

um, one of the things I find is people

524

:

edit themselves

525

:

when they're texting, and so when you're

talking back to an LLM and , you're

526

:

typing or texting, you don't say

the sentence exactly how you would.

527

:

You, you shorten it, you make

it more concise, you use words

528

:

you typically would not use,

529

:

and your LLM will pick up on that,

and that's why you read the emails

530

:

and it sounds very corporate

531

:

when

532

:

all you wanna say is, "Girl, I got you."

533

:

Yes.

534

:

Right?

535

:

Um, and so when you're responding to

those questions it's asking, definitely

536

:

just grab a voice note, turn it on,

and just read the question, answer

537

:

the question in your normal voice.

538

:

The second thing about a voice profile

is you have to refine it, and so I would

539

:

give it, , sources of your writing already

540

:

that you did without LLM, without

any kind of chat, and give it to it

541

:

so that it can really understand

how you break sentences up.

542

:

I

543

:

use ellipses a lot

544

:

in places they don't really belong-

… because that is just who I am.

545

:

I do, too.

546

:

Yes, I do, too, actually.

547

:

And, and- And also because the,

548

:

you know,

549

:

the, the dashes are, like, so

frowned upon now- Yes … because

550

:

that's a typical- And, and

551

:

dashes were a part of my normal life.

552

:

Exactly.

553

:

Yeah.

554

:

Exactly.

555

:

I knew what they were

before LLMs even got out.

556

:

Yes.

557

:

But because my LLM knows that I use

ellipses a lot, it will add ellipses,

558

:

um, in places.

559

:

Now,

560

:

I say all of that and then

I will say trust but verify.

561

:

You should still read everything

your LLM is putting out.

562

:

They still hallucinate.

563

:

They're still

564

:

fallible.

565

:

, And

566

:

so, , when you are creating voice profiles

567

:

or, or brand profiles for yourself,

and this is personal brands, or

568

:

you can do this with a business,

make sure you review the output.

569

:

Ask it to generate a summary

of that, give you writing

570

:

samples, give you tone samples.

571

:

What

572

:

do I sound like when I'm angry?

573

:

What do I sound like when I'm confused?

574

:

What do I sound like

when I am questioning,

575

:

uh, my thought process, which I do a

lot with LLMs, and it knows that I say,

576

:

you know what I mean?"

577

:

A lot.

578

:

And it knows that I say,

579

:

"You know what I mean?"

580

:

a lot.

581

:

Because I'm just like, "You should

figure that part out," right?

582

:

Um, and so it'll say, "Yes, I do know

what you mean, but f- for clarification,"

583

:

'cause it also knows I don't trust,

584

:

I verify.

585

:

And so it'll say, "For clarification,

here's what I thought you meant.

586

:

Is that correct?"

587

:

Oh, yeah, that's exactly what I meant.

588

:

Okay.

589

:

It goes back to what you were saying

for in your business, you're always

590

:

like, "Okay, what did we just do?

591

:

What did I just…"

592

:

Like,

593

:

for any sort of code or whatever-

594

:

That you're

595

:

instructing it in, you're like,

"Okay, what did we just do?

596

:

What did we just create?"

597

:

So you're always…

598

:

You're not just letting it run.

599

:

Yes.

600

:

You're always understanding that, okay,

601

:

verify

602

:

after you input whatever it is that you're

inputting, in personal life or business.

603

:

Yeah,

604

:

exactly.

605

:

Kelsy: So what are you building

right now, from a broad

606

:

perspective even?

607

:

So sort of

608

:

goals

609

:

with

610

:

where you see yourself in

this advancing technology,

611

:

I guess.

612

:

As a founder of a company, as someone

who's passionate about sharing this

613

:

education, as someone who's passionate

about getting more women and more

614

:

minorities involved- Yeah … in this,

615

:

What are you

616

:

building

617

:

right now, and who are you

setting that place for?

618

:

Yeah.

619

:

So I'm actually building something

called The Black List Experience,

620

:

, And it is for, primarily for,

'cause I'm not a big proponent

621

:

on closing doors or gatekeeping,

622

:

but

623

:

it is primarily built

for, the intention is for,

624

:

, Black professionals to have a

space where they can learn and

625

:

grow and meet and all the things.

626

:

And I know we have a ton of those, but,

, what sets The Black List Experience

627

:

apart is these are intentional meetups.

628

:

So it's not just

629

:

a party or a hangout and come

and gather and meet people.

630

:

Everything you do will be intentional,

building towards something.

631

:

And so I'm inviting other builders,

other people who are advancing

632

:

their career or whatever their

goals are, and meeting in a space.

633

:

Our first Black List Experience

event will be, uh, don't have a

634

:

date yet, we're working on that, but

the intention is to find people who

635

:

are in the same space as you are.

636

:

And so it'll be for builders,

typically founders, and where

637

:

they are in their scope.

638

:

If you're still just, "I want to

be a founder, I have no ideas yet,"

639

:

you'll have a, a certain place to be.

640

:

And then we're getting,

641

:

Mentors over each of those sections.

642

:

So I would be in the go-to-market

section, uh, in that room.

643

:

And by the end of that meeting, you

should walk out with something and be

644

:

able to tell somebody else about it.

645

:

Um, because I want to make sure that

every time you leave a space with The

646

:

Black List, or just meeting me in general,

you walk away with something tangible.

647

:

, That's always been like a

underlying thing in my, my mind.

648

:

If you can't walk away

with something tangible,

649

:

not just this pie in the sky,

650

:

"Hey, it's gonna be great."

651

:

Yeah, what are you doing

with it today, right?

652

:

If you can't do something with it

today, then I've not done my job.

653

:

It goes back to you wanting

to create experiences and-

654

:

Yeah … build connection, and

655

:

, I sense

656

:

it's, it's a deeper part of,

657

:

like, your core values.

658

:

Oh, sure.

659

:

It's like being, you're paving the way

for so many others and so many women.

660

:

That's why you were at the

Women in AI event, too.

661

:

Absolutely.

662

:

But

663

:

you're the one paving the way,

and now you're actually opening

664

:

up seats to other people- Yeah

665

:

for, for bringing them

along the journey, too.

666

:

So before we end- Okay … I

wanna read you a quote.

667

:

Okay.

668

:

And it might sound a bit familiar.

669

:

" I want to be one of the architects

and writers of what AI becomes

670

:

and how it shapes our world.

671

:

I don't earn that right

from the sidelines.

672

:

If I'm not in it, curious

about what it can actually do,

673

:

I lose my say in where it goes."

674

:

Talk to me a little bit about

what you meant when you said that.

675

:

Rebecca: Yeah.

676

:

So, uh, in that conversation, just to

give a bit of context, we were talking

677

:

about being nervous about where AI is

going, and the impact it will have.

678

:

, And not to dismiss anybody's,

679

:

, Perception

680

:

at all,

681

:

but I do know that there is

a place for us to either be

682

:

content

683

:

with what's happening or to

shape what's happening, right?

684

:

And

685

:

I,

686

:

I said this, and I probably should

repeat myself but clarify, 'cause

687

:

I think not everybody caught it,

and I said it's very much so the

688

:

Black experience that I'm living.

689

:

Um, and for the audience who does not

really know what that means, in a lot

690

:

of spaces, um, I'm 38 years old, so I

went through a bit of a period where

691

:

there was,

692

:

um- a highlight on

693

:

racism and prejudice-ness and, like,

trying to figure that out in our world.

694

:

, But

695

:

my Blackness doesn't go away.

696

:

I am gonna be Black no

matter how the world sees me.

697

:

If everybody loves us or everybody

hates us, I am still gonna be Black,

698

:

and I think it's the same thing with AI.

699

:

It is coming regardless of how you wanna

be seen, how the world perceives it.

700

:

Whether we like it or not, it is coming.

701

:

And

702

:

so in order to be able to…

703

:

If you think,

704

:

if you,

705

:

if you for real think that AI's gonna be

detrimental, you still have to understand

706

:

it so that you can help the impact it has.

707

:

If you think it's gonna be the greatest

thing since sliced bread and the steam

708

:

engine, you still gotta understand

it to help get it to that point.

709

:

And so

710

:

for those

711

:

people who decide they're gonna

shut it down, you have no say

712

:

so.

713

:

Like,

714

:

I don't- Your opinion, this is gonna

sound so controversial, your opinion

715

:

is not that valuable if you are

not going to be curious or educated

716

:

on what it actually is doing.

717

:

Do I think AI has some detrimental pieces?

718

:

Absolutely.

719

:

Do I think it is going to shift

a lot of things in our favor?

720

:

Absolutely.

721

:

I am doing the research on

its environmental i- impacts.

722

:

I am doing the research

on its cancer research,

723

:

because all of those things

are important, right?

724

:

And not to say that either direction

is gonna weigh heavily or or the other,

725

:

but I can't help where it

goes if I'm not understanding

726

:

what path it's going to take.

727

:

And you're not shaping it, too, right?

728

:

If you wanna have

729

:

a say in where it goes, that's

what I love what you said,

730

:

you can't be on the sidelines.

731

:

You have to be in the game-

Yeah … and play in the game.

732

:

And even if your opinion is

that it is the worst thing for

733

:

the world, share that opinion.

734

:

Help shape the way- Yeah

735

:

that it's directed,

736

:

you

737

:

know?

738

:

Or if you're,

739

:

you know,

740

:

this is going

741

:

to, change the way the home is run,

742

:

you know, through all of

these different technologies

743

:

, and mechanical things that they're

building to, to be able to shape

744

:

, How , the home life is

structured or the school life.

745

:

Like, if you have that opinion,

746

:

, Share it, because all of these sort of-

747

:

Uh, diverging opinions, I guess-

748

:

Mm-hmm

749

:

will help to shape how it- Exactly … how

it impacts our society, and it's, we need

750

:

all of those opinions.

751

:

Of-

752

:

And like you said earlier, it's

a tool, and it just has to be

753

:

in the right hands, and I'd say

754

:

we're the right hands,

755

:

you know?

756

:

We are

757

:

the right, We're the right hands …we

758

:

are the only- hands it should

actually be in, to be honest with you.

759

:

It's a tool that

760

:

we, we just need to be better stewards of,

761

:

I guess.

762

:

Right.

763

:

And,

764

:

and we can't be better stewards of it

if we don't know how to use a hammer,

765

:

you know?

766

:

We need to learn how to use it before-

Yeah … we can shape where it goes.

767

:

The same thing with children.

768

:

When they pick up a toy for the first

time, they have no idea how to use it.

769

:

You have to show them.

770

:

, And they have to be curious

enough to want to use it, right?

771

:

It, a doll is what we think it

is, and you put it in the hands of

772

:

someone who thinks it's a helicopter,

it's all of a sudden a helicopter.

773

:

Like, that's,

774

:

that's what it is.

775

:

That's exactly what we're

experiencing right now.

776

:

I think, too, when people hear

about AI, if they're not in the

777

:

realm, they're hearing all of

the scary stories about it.

778

:

Kelsy: Mm-hmm.

779

:

But bringing you on here, sharing how,

780

:

you know,

781

:

you're thinking outside the

box when it comes to AI a

782

:

little bit,

783

:

like, this is a positive

way it's shaping our world.

784

:

I think that's super important, too.

785

:

Yeah.

786

:

and this is where I'll leave you for

now because next up is the reason

787

:

the entire series is named Five

Seats, where she tells us the five

788

:

people she'd seat at her own table

789

:

You can hear who she chose,

plus the rest of our time

790

:

together on the Five Seats feed

791

:

Search Five Seats wherever

you're listening or click the

792

:

link in the show notes below

793

:

New Five Seeds episodes every Tuesday,

but I'll also see you guys again on the

794

:

next episode of Wellness Big Sis the pod

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