Season 0 Wrap-up
Wrapping up Season 0 – We're almost ready to begin!
Transcript
0:05
Forget trying to keep up with AI. It's moving too fast. It's time to think
0:10
differently about it. Welcome to the AI readiness project hosted by Kyle Sham
0:14
and Annne Murphy. They're here to help you build the mindset to thrive in an
0:19
AIdriven world and prepare for what's next.
0:26
Well, hey Kyle. Forget trying to I have a question.
0:34
Go on. I have a question for you and I bet our
0:38
um audience is curious too. In our new season, are we gonna have a
0:45
new theme song? We can have a new theme song unless you
0:49
have described our theme song as a bop. It is a bop.
0:55
I mean, we can't not We could have a We could have a new one that's also a bop.
1:01
We could Oh, do I have feedback?
1:04
You've got feedback and delay. You've got weird delay stuff.
1:08
Now you're good. What do I What should I do?
1:12
I don't know. Good. Okay,
1:13
you're good now. Your computer seems to do that thing where it freaks out a bit
1:17
and you you get delayed. Anyway, so so here we are. We are um
1:26
wrapping up season zero. Now, can I I want to want to give a confession to
1:31
you. Um I thought we were just podcast and
1:35
then at one point you informed me that we were in season zero and I have never
1:41
in my life started something counting at zero. And so I did not tell you in
1:46
season zero the entire season zero, but now I'm excited to start season one.
1:53
Now, now it really starts. Now is when it starts.
1:57
Explain yourself. What What is your thinking on season zero?
2:02
Well, I figured I figured if we if we call it season
2:10
zero, then no one will have set any expectations that it's like a real
2:15
thing. So this So season zero is an apology for
2:20
our first season. It's the apology tour. It's the apology tour. Well, that's
2:25
great. Okay, so this is good. And And how many do you know how many episodes
2:29
we had in season zero? It was a lot. It was more than 25, right?
2:33
It was a lot. Oh, yeah. I think Okay. I think it might be 30.
2:38
Okay. Yeah. So, that's a lot. Most podcasts
2:43
die before 10. I think the average is nine nine episodes. So, the fact that we
2:48
did 33 um I'm assuming you're kind of like me
2:52
with our neurospiciness that my recollection of any conversation we had
2:57
in those 30 things is essentially gone. So, I know that you've got a cheat sheet
3:01
there where you can remind us who we talked to.
3:03
Yes. But but before we dive into talking
3:06
about like specific guests and things like that,
3:10
I don't know, why don't you and I just check in like where are you right now?
3:13
like where are you with AI in life and AI readiness and you just
3:20
create conference which is remarkable and I just went to TED AI which was
3:24
remarkably disappointing and and Vanessa um who was at both of those um
3:32
did a Tik Tok today talking about how one was you know all about technology
3:38
and one was about humans and you were the human
3:42
of that equation How are you doing? Where where are you?
3:47
um 30 30 episodes. I was I was kind of thinking about
3:53
things in terms of how I feel about having a podcast
4:01
30, you know, 30 episodes later. And like how do you remember why I have like
4:09
remember how when we started I was like, "Oh, that's interesting because I've got
4:12
the fancy mic. I've got the I've got a podcast coach. I've got 15 different
4:15
brand ideas, all this stuff. But the one thing I didn't have was a [ __ ]
4:19
podcast. I do remember that
4:22
I had whole the podcaster [ __ ] and be like, "Oh, really? You need that? Oh,
4:27
I'll be right back. I've got that. I've got all the things of a podcast, but I
4:32
don't have a podcast because I did not feel like
4:36
Yep. I did not feel like I was
4:43
worthy of having a podcast. I also recognize now that I had romanticized
4:49
Yeah. having a podcast in my brain quite a bit
4:53
and that there are podcasts and then there are podcasts, right? like like the
4:58
people who our friends at the Daily AI show doing a a a morning show every
5:05
single day. That's different, right? Like that that just is totally
5:11
remarkable. And then there's the people who have like editors and stuff. And
5:15
then there's people who like just kind of have like there's uh what's it
5:20
called? Our friends at Jelly Pod. Right now you can have a podcast that's all
5:24
AI, right?
5:27
We're somewhere in the middle, you know, like we're clearly not overproduced, but
5:32
we're also not just rolling it, right? And why will
5:40
No, this is this is where we we just talked about this. We don't diminish.
5:46
This is it's um it's like the Nike the Nike,
5:49
right? So, we're somewhere in the middle where
5:59
we don't overthink it and um we have the fabulous support of our team members and
6:06
friends and colleagues who help with some of the a lot of the
6:09
behind-the-scenes stuff. So, we get to do the fun part of having a podcast.
6:15
Um, by the way, Kyle, I think that there
6:19
might be a sound coming from your area. Might be.
6:25
Talk. It's a little bit.
6:29
Is it echoey? It might be. Hang on. I'll turn this
6:33
down. How's that? Is that better? You got to talk to see if it's
6:38
better. Yeah. Can you hear anything weird on my end?
6:42
No. You talk again. Hello. Hello. Hello.
6:47
All good. I think it's good. But it was weird. I
6:53
was like getting both of our voices were coming back to me.
6:56
Yeah. Should we start over?
7:03
No, we're live.
7:06
Just cut this part out. No. No. We're live. We're not
7:12
We're live right now. Yeah.
7:15
Kyle, I thought we were recording.
7:19
Are there people here? There's Well, there were there were two.
7:23
There's one now. All right. Hi, everybody. Okay. As I was
7:32
saying, we're not too overly produced. Um, but like
7:41
that's awesome. Yeah.
7:48
Yeah. Go ahead. Well, well, finish your thought because
7:50
I I have some thoughts. Well, well, um, for me it was a really, I guess what I'm
7:57
trying to say is that it was a really big deal to have a podcast and that I
8:03
wouldn't have done it if I I really still would be trying to get fancier,
8:07
you know, equipment and never having a podcast if you hadn't said, "Hey, we
8:12
should do a podcast." I And I'm so so glad that you did.
8:17
Oh, thank you. Well, I I'm so glad I did, too. I I think the world of you um
8:25
you know it's funny when when you were talking about you know sort of where we
8:29
live in the podcast world in a lot of ways how I think about this
8:35
is not as a podcast but but as a conversation
8:39
a conversation you know if you think about
8:44
the things that we've done together GPT for good fest of us last year we're
8:49
getting ready to do festivist this year. We've got our communities which are
8:53
these independent communities, but we have a lot of overlap. We have a lot of
8:56
members that are that are both or we're in this one and are now in that one and
9:00
vice versa. Um,
9:04
and the thing that I'm most interested in in my life right now is having
9:10
conversations around this stuff. So, so for me, this podcast actually just feels
9:16
like an extension of what we're already doing
9:20
and and and what I think is important, right?
9:23
Because, you know, in the AI salon, we're kicking off this this idea of a
9:28
we're calling it the the AI salon mastermind practice, but the idea is we
9:33
want to help people design a daily practice around using AI.
9:38
And we kicked it off at our uh we had our our monthly salon presents meeting
9:44
last night and we kicked off this idea of a practice and um Liz Miller Gersfeld
9:50
who was kind of her idea and we've we've put put it into a framework and she
9:54
talked about how she does it and I talked about how I feel like I'm I'm an
9:58
accidental um I have an accidental AI practice and and what I what I realized
10:04
last night is you know I show up to my AI lives night after night which is kind
10:08
of like a practice. But what I realized it's more like a habit.
10:12
Yeah. There's a difference between a habit
10:15
where you just do something remotely and a practice where you do
10:19
something with intention. And and I had committed to just showing up but I
10:23
didn't but I'm not necessarily regularly present with what's my
10:28
intention, what am I trying to accomplish.
10:30
And I think I started the AI salon in a similar sort of vein where like it just
10:34
felt important for me to start it. And what you and I were talking about before
10:38
we went live was this idea of you said it to me. You
10:42
said, "I think we've created something with these communities that there's
10:47
something bigger going on here that we don't quite know what it is." And and I
10:52
think there might be something around this where both of our communities and I
10:56
think you and I as individuals have gotten to this place where it's time to
11:01
shift gears. that that we've done the work of of birthing these things that
11:06
we've created this podcast and festivists and she leads and your create
11:10
and I'm doing a residency in:11:15
elements but what they all have in common is
11:18
people connecting right I think that that AI readiness project
11:24
2.0 know starts to look like well what's our
11:29
intentionality like what do we want to do as opposed to just starting these
11:35
things just just saying I have an instinct I should put energy over here
11:39
that we actually go now that we've created these things that have all this
11:43
energy and and and are literally changing people's lives
11:48
what do we what do we want that to be and what's our intentionality and so I
11:52
think for me season one and I think, you know,
11:55
version 2.0 of our communities and of of all these properties we've created
12:00
Yeah. starts to just feel like
12:06
like we've got more clear intentions about what we want um and and uh and
12:12
what we provide and and what maybe it's even what what purpose we serve and what
12:19
purpose this podcast serves and our community serve. I don't know. I don't
12:23
have the answer, but it it feels like we're in a like right now we're in this
12:27
tate between what was and and:12:33
beginning. You said that earlier. Absolutely. For some reason, November
12:37
and December seem like this liinal phase for me of just
12:42
in:12:48
all the things and I did that. I did that and I don't
12:53
want to throw spaghetti at the wall anymore because I don't need to. That's
12:56
not my intention, right? like I have already done that part and now I want to
13:02
really shape and mold and nurture on the foundation that's already built
13:09
that is so incredibly special and unique and deserves I think deserves the
13:17
it deserves the slow slower thinking and slower decision making and slightly
13:24
slower action that we can make now because we've gone this far so quickly.
13:29
I mean, 10 months for She Leads AI. 10 months since Festivus last year.
13:35
Yeah, that is crazy.
13:37
Is that when you kicked off She Leads? That's when we launched our membership.
13:42
th,:13:46
Well, you've done a hell of a job. It feels like it's two or three years old
13:50
to me. That's really cool.
13:54
That's really, really cool. Yeah. Yeah.
13:58
So now we do do me a favor. Tell tell me um
14:03
e're going to do something in:14:07
salon with in-person meetings and we've actually secured a space here in Denver.
14:11
We're gonna AI salon's going to have an actual physical home. We might do one in
14:15
New York. What?
14:17
Yeah. I'm I'm super excited about it. Um
14:21
when are you gonna tell me this? Well, I haven't quite figured it out
14:24
yet. It's in place, but but I haven't quite figured out what I want to do with
14:29
it. So, once I figure it out, I'll let you know. But you just did create,
14:32
right? you just did this create conference and you've got your virtual
14:35
version of it coming up because a lot of people couldn't come in because of
14:38
situations situations
14:43
but talk to me about your experience with with create and I I get I know that
14:49
there was a lot of bonding and a lot of really special stuff but just in the
14:52
context of AI readiness like what were the themes that what what was your
14:56
experience of to the extent that you could be present to it because you were
15:00
hosting it and probably like with your hair on fire. What was your experience
15:05
of create? What was what were some of the themes that came out of that that
15:09
have stuck with you now that you're kind of two weeks out from it?
15:15
One is no matter how often we face this thing that you and I try so hard not to
15:27
bring into our lives and not to bring into other people's lives. Everyone has
15:30
imposttor syndrome and so there's a there's this universal
15:37
thing that we're tapping into of you know and because we were because we have
15:42
the culture that we have and it was a very safe space and everyone had made
15:47
you know quite an effort to get there people brought that really positive
15:54
energy to it but they were still walking through the door thinking that they
15:57
didn't quite belong And everyone else thought it more
16:01
together than they did. And everyone else
16:03
And every one of them thought that, right?
16:05
Every one of them thought that. And I know I know because I asked um because
16:12
one of one of the women who was one of our one of our um kind of helped helped
16:18
us welcome everybody to Utah is a woman who Penny Atkins
16:25
who runs this $50 million responsible AI center at the University of Utah on
16:31
behalf of the whole entire state and she was remarking on how she was a little
16:36
bit nervous to come here today because she felt like everyone else really
16:40
understands this whole AI thing. Keep in mind she's also an academic scholar with
16:44
many many referee journal articles on the topic.
16:48
And she's saying and she did she wasn't putting on errors or anything. She was
16:51
genuinely saying I was kind of nervous coming in here because I figured that
16:56
everybody else is so much better at this than me and they know more things than
17:00
me and all this stuff. And I said hold on. So, and I asked everybody, did
17:05
everybody else feel this way when they came in here, too, like Penny did?
17:08
Everyone raised their hand. Every single woman.
17:13
Yeah. And it's bananas because we are we our
17:17
group, our people, Kyle, you, me, and all of the people we get to hang around
17:20
with, we're top tier, you know? We're top tier in the AI
17:24
world. Well, we're top tier. And I think to
17:27
your point, if you ask everyone to a person, with maybe one or two exceptions
17:33
of, you know, some people who, you know, have healthy egos, I think to a person,
17:37
they would basically say, I don't know anything like
17:40
I don't know anything. You know, I kind of feel like I kind of
17:43
feel like at this point we've forgotten more than than we've learned, right?
17:50
Because things are moving so fast. But what I know has stuck with me,
17:59
what what I what I've absolutely lost is the specific skills of how to use this
18:04
tool or that tool or that tool. But what stuck with me is the kind of
18:12
nimleness of I'll figure it out. Like like I'll figure it out along the way.
18:17
Kelly Camp at at at the uh when she was talking about her daily practice, she
18:23
had talked about she started her AI agency the the week
18:29
chat GPT started and she said for the first year and a half of that it she was
18:35
like anxious all the time because she was trying to keep up with everything
18:38
and and you know I was encouraging that I was trying to keep up with everything.
18:42
I was modeling like keep up with all these tools. We'll we'll you know we'll
18:47
learn all of them and everything they can do and you know and I was pretty
18:52
good at it for a while there and then it just it just passed me right. I'm not
18:57
worthy. Come on, get over it. Said Kevin Clark. That's awesome. Um
19:02
Um I'm not worthy. Oh, is Kevin here? Hi
19:06
Kevin. Yeah, Kevin's here. That's awesome. So,
19:08
but but what Kelly was saying is that it took her it took her a while to to
19:13
transition, but she's in this place now where she's kind of got this calm,
19:18
which is she can now just talk to people about what's going on with them, and she
19:23
trusts that she knows enough about how to
19:28
how to adapt to to AI into the situation where she'll figure the AI part out. So
19:33
she's not she's not feeling that frenetic
19:36
need to keep up with the tools. She's now kind of settled into okay, I've got
19:41
a confidence those I'll I'll deal with that when I need to. But what I can be
19:47
right now is just listen to the person I'm interacting with. And I that to me
19:51
feels that feels evolutionary.
19:55
And and I think and I think in our community like the through line
20:00
through the people that talked last night about their practice, there was
20:03
kind of a calm to it that they're doing their thing,
20:06
they have an idea, they put it in practice, they've got systems to
20:11
organize their assets like it it wasn't this panic to use all the tools to feed
20:17
ybe maybe that's how we enter:20:24
with a call confidence to say we'll figure the tech stuff out.
20:29
Yes, we just need to figure maybe what it is
20:31
is we need to figure out what we want. And I think this is the intentionality
20:34
thing, right? What do you want for she leads? What do I want for the salon?
20:37
What do we want for ourselves personally?
20:39
Yeah. Figure that out and get clear on that
20:42
and then all the other stuff will follow.
20:47
You know, when we first started saying it's not about the tools, I was kind of
20:51
like, yeah, but we really know it's about the tools. Like,
20:57
you were just going along with me. Yeah. Like, oh, this is the conceit.
21:01
This is the conceit of the of, you know, of the show or of the month or of the
21:05
week or whatever. Um, so it took me a while to get there.
21:10
I think in part because um it's really challen like it's very
21:15
challenging for me to know all the tools like I was doing ke the Kelly camp thing
21:20
too. I think we you know a bunch of us were in that mode.
21:23
Yeah for sure. And now there have been enough occasions
21:27
to figure out what the tool might be that I know now you know a couple years
21:32
later that I'll figure out what the tool is.
21:36
Yeah. Well, and I also think I think the tools have gotten good enough like it it
21:40
really was in the early days it really was of these seven tools, one of them is
21:46
the best tool, right? And you kind of had to know which one was the one that
21:50
was the least janky right
21:51
now. I kind of feel like all of the tools are good to to whatever degree
21:56
like and so like we can we know that if we need something with analyzing text,
22:04
there's six different things we can go to. It doesn't really matter.
22:08
It doesn't really matter, especially if you don't know what the hell you're
22:11
actually trying what you want out of the project. If you don't know what you
22:15
want, you really don't even need to be like nerding out about the tools because
22:20
you're just going to be chasing, right, chasing shiny objects. It's that thing
22:25
of before we start and the I I haven't learned enough about the concept of the
22:32
AI practice. So, I'm catching up to where you guys are. But if you think
22:36
about how a regular practice is, you wouldn't do the
22:44
a training plan is metered out over time. It's not learn
22:50
everything, do everything, learn all the skills at once because you would burn
22:52
out and you would not be able to continue doing it. So this
22:57
your body was just rejected. Yeah, that's really good.
23:01
Exactly. Exactly. We were kind of binging. I think we were binging on AI
23:06
stuff for a little while. Well, we were we were binging on
23:09
learning because because Well, oh, so here's another thing. Cindy [ __ ] has
23:14
talked about this. Kelly Camp has talked about this.
23:19
Um, the things that you and I and everyone
23:25
in our community, I see Gareth here and Kevin Clark here.
23:31
The things that we think are just absolutely obvious that you can sit down
23:35
at Chat GPT and have it write a LinkedIn post for you. There are still many,
23:41
many, many, many people who don't know that that's possible.
23:47
So, so, so, so sometimes interacting, you know, with a with a new client or or
23:54
someone who's new to AI, we don't have to know [ __ ] like like the
23:59
stuff that we just we take for granted is just mindblowing to someone who
24:05
hasn't done anything, right? So, so I think there's
24:09
I think there's something that that part of our role is just being in a calm
24:14
place and being in a place where we can actually listen to whoever we're talking
24:17
to and just try to understand where they are, what they want to accomplish,
24:22
right? And just have the trust that we'll figure this other stuff out.
24:27
So, I just had a little epiphany that the new brave thing that I'm going to do
24:35
that I'm I'm committing to is that I
24:42
I want to speak to people 100% where they are.
24:47
Yeah. without
24:51
the narrative in the back of my mind that says, "Yeah, but the smart people
24:54
won't think you're smart if you don't say all the fancy words
24:58
or if you don't in reality stuff." Yeah.
25:04
Right. If you don't do it, you those smart people. Well, guess what? The th
25:08
those people like our peers are not my clients. We forget that. are for in my
25:14
case all of my clients, not a single one of them would benefit if I went and
25:19
learned automations. It would not bring them one single benefit to their lives.
25:24
If I went off in a corner and learned how to be the greatest AI video maker if
25:31
I had fun doing it or whatever, that's separate. But for me to seek out things
25:37
just for a some kind of like a chip or a notch in my belt or something versus how
25:43
can I actually be useful to people. That's what I want to do. That's what I
25:47
want to be. I I think that's huge. I I'm not going
25:50
to say the person's name because I I want to respect their privacy, but I I
25:54
know someone a good friend of mine who spent many many years
26:00
securing um a building and creating a building in
26:05
in New York City um and getting a an AI supercomput built
26:14
um with the intent of helping nonprofits and foundations train their own models
26:19
on their own data. Oh wow.
26:22
Yeah. Really, really ambitious, really amazing, amazing thing. And I talked to
26:29
him about six months ago and and I said, "How's it going?" And he said, um, he
26:35
was a little bummed. He was a little depressed. And he said he said, "No
26:38
one's using my fancy superco computer." basically because the foundations and
26:44
nonprofits they don't they don't know what training
26:48
a custom data set is. They're not even using chat GPT. So like they don't even
26:54
how to write a grant with chat GPT and he's sitting over here on the far end of
26:58
the spectrum ready for them to like take their data that they've collected for
27:03
the past 50 years and turn it into remarkable things. They're not even
27:06
using chat GPT. So I think to your point about being where people are, I think
27:12
it's really important because we sit in this weird unique position of
27:20
knowing that that that far that that far goalpost is there today. We can we can
27:26
run out there if you're ready for it, but we might just be ready for can we
27:30
just make an email easier to write, right?
27:34
That might be enough for three months. Right?
27:38
That might be enough for three months. Well, and here's here's how I can prove
27:43
it. This is what Kevin Clark said about AI
27:45
is a confidence delivery system. Confidence delivery system. Yes. So,
27:49
thank you for saying that, Kevin, because the Oh, God. I'm so I'm so
27:54
gratified that you said that because I was talking to somebody about this the
27:58
other day and I was like but you don't understand how important it is
28:00
particularly with women to be able to work through an idea
28:06
in safety insecurity without retribution with with a nobody with a
28:11
or without mansplaving what what an meant to say
28:15
what meant to say um and that it gives us in many ways like it gives it's not
28:22
about it would It's like if you could go eat dots or
28:26
junior mints and get this and get this kind of confidence from that. Cool. It
28:30
just happens to be talking to Chad GPT and working through a problem. Now you
28:33
have this new kind of confidence. That's not the thing that like Sam Alman is out
28:38
here talking about or Elon Musk or what all of them. They
28:43
don't give a [ __ ] about that. But my clients do.
28:46
Yep. the people who I work with on a daily basis care that they can practice
28:51
for a conversation with a donor or for an almost impossible conversation with
28:57
their boss. Like that's what matters to people. So I have really struggled
29:04
between trying to like keep up with my peers and also just speak to my clients,
29:09
my people where they are. And I'm going to go with the ladder for a while now.
29:13
Yeah, it's good. Um, this thing that Gareth said, I have a friend say to me
29:18
today who's new to AI, the more I embrace AI, the more I'm thinking about
29:22
thinking differently about how I leverage it.
29:25
Yes. The the thing that struck me when I when I went to TED AI two weeks ago, the
29:32
the the disappointment there was that what was being celebrated, what was
29:39
being talked about, what was put on stage
29:43
was the only real thing of value right now
29:48
is better algorithms, more math, more science, more chips.
29:53
that that more compute will you know will be the solution.
30:01
Um the innovation that's going to happen
30:06
from someone not using a AI at all to transforming their business over the
30:11
course of a year working with you doing stuff that is trivial by today's AI
30:17
standards. the innovations in business are going to happen at a much more
30:21
granular level and probably you know if if if AI compute capacity is up here and
30:28
current businesses are here the jump from them to go from here to here is is
30:33
like mindblowing to them like that might be a 2x increase in productivity idea
30:39
generation effectiveness whatever it might be it might be years or decades
30:43
until they you know if ever get to Yep. What's possible? And so there's a lot of
30:50
attention and money being spent raising the ceiling when we're just sitting down
30:56
here on the bottom where again the things that we think, you know, are are
31:01
trivial are not trivial to most people coming into the space. And so I think
31:06
that I you said it. I I think that if if I
31:10
think AI readiness, it's when you interact with someone,
31:14
understand where they are. take in where meet them where they are. I think that's
31:19
right. And I believe that those of us that's
31:25
why we're building AI advisors, not agents. Yes. Um I believe that that's
31:31
the kind of grounded, generous, and at the
31:38
end of the day much more lucrative for people with my skill set. That's the
31:43
better approach because I mean there is not a single person who appreciates the
31:48
smartest person in the room, right? We're always waiting for that person to
31:52
shut the [ __ ] up, right? It's true. It's true.
31:56
Right. Who likes that person? Do you want to have a beer with the
32:00
smartest person in the room? No. You want to you want to have a beer with the
32:04
person who's like nice and kind and funny like that person and and not
32:09
afraid to ask dumb questions. So, um, and being able to be present for when
32:16
those little things that we think are small because we've been at it for a
32:20
little while. When those like awakenings happen for them and how
32:25
existential that really is for them to be able to be there and like hear them
32:30
and be alongside on that part of the journey, I think is where
32:34
I don't know. I just think it's a kind of a it's feels more like a calling than
32:39
a job say. Yeah. No, I think that's good. Kevin Clark, Kevin, who's on the
32:44
on the in the audience right now. Um, he we we've been we've been putting a a
32:51
kind of product in marketplace for businesses to be able to get up to speed
32:55
and build internal cohorts and things like that. And and he he shared a a
32:59
story of framing, a way he was talking about AI with someone that we've since
33:04
used to to actually change the name of of our offering. So our our offering is
33:08
now um it's it's called wow AI right and and the question that he asked was you
33:13
know he was talking to someone in business and said hey have you ever had
33:16
a wow moment with AI you know at home and and they were like oh yeah you know
33:21
whatever I made a kids book or whatever it is and he goes have you ever had that
33:24
wow moment at work oh no like the answer is always there's no wow moment at work
33:30
and but there's if we're just over experimenting or or you know our kid
33:35
shows to something. We can have a wow moment over here, but that is much
33:40
harder to discover in the workplace. And and why is that? Well, maybe people
33:46
aren't allowed to use AI or maybe they're they're sitting off in the
33:49
corners just experimenting with it or um or maybe everyone's just too focused on
33:53
efficiency to really discover those vow moments in business, right? And so, how
33:57
do we discover those? And again, I think that's where thoughtful people that can
34:03
can understand where someone is and then say, "Hey, so you know what you said you
34:09
wanted was X and here's how we would do X, but you know, you know what else is
34:14
possible? Let me show you this thing over here that might be like one little
34:18
step over." And you show them that and they're like, "Wow." Right? Like like
34:22
can we provide wow moments? Maybe we become a bridge because because they
34:26
don't need to jump immediately to the most capable thing. like they need to
34:29
understand where they are now and how they kind of level up in in an
34:33
incremental way. Absolutely. Absolutely. And making the
34:38
space for those increments like I
34:43
one of the things that I took for granted
34:48
the fastest of all of the tools were AI meeting recorders. I I they they you
34:54
know they came on the scene. I tried every single one of them out. We chose
34:58
the one we liked and then we basically, you know, built the rest of our world
35:02
around recording our our conversations and then everything just started working
35:07
really well and I I thought that everybody had already had that
35:13
transition specifically with meeting recorders. So, but still all this time
35:18
later that's really people would be happy in working with me if we talked
35:22
about just meeting recorders for a week. Yeah. like that really would make people
35:29
feel like they've accomplished something.
35:32
Coming up with those moments that make people feel that dopamine rush
35:40
at work within their work would be such a gift because it would mean that we now
35:45
have a work life that is worthy of wow moments. How sad is it?
35:52
How savage is it? Well, yeah, that that's a whole that's a whole other
35:55
thing. But whole story.
35:57
Yeah, that's a whole other thing. Well, I'll tell you I'll tell you one that
36:00
that happened today. So, as you probably know, Brandon within
36:06
within the the salon community. He's he's going to produce Festivus and he's
36:10
the producer of my life. He built this um custom GPT for people to find food if
36:15
they get cut off from SNAP benefits. and and he talked about it on the live
36:20
and he talked about how compassionate it was and things like that and and sort of
36:24
word got out that he had built this thing and and one of the people that we
36:27
know that you and I both know who's got, you know, big connections with, you
36:31
know, people in the world said, "Oh my god, this is amazing. We've got to get
36:35
word out. We've got to get articles written about this." And he got really
36:38
excited. And then I was on a call today and Daisy Thomas was on there and she
36:44
was really excited about Brandon's thing and she said she went into Brandon's
36:48
tool and was able to create um a shopping list for nutrientrich
36:56
for a nutrientrich 21-day meal plan of food for $125
37:04
in his thing. and and and she said she was blown away that she was able to do
37:08
it and it did this really remarkable thing and it wasn't just food for a
37:12
hundred bucks. It was nutrientrich nutrient-dense food, right? That would
37:17
really sustain a family for 125 bucks. Um, and what struck me in that was
37:24
Brandon getting his custom GPT talked about is one thing, but like someone
37:28
like Daisy knowing that she could go into that and and get that kind of
37:34
result out of it. Most people are most people are going to go in there and not
37:38
know what to do with a custom GPT. So, I feel like there's this whole string of
37:43
wow moments that can happen from even a sing a simple little thing like I took a
37:48
data source, put it into a custom GPT and made it compassionate.
37:52
Well, there's all sorts of ripples that can come out of that if if you've got
37:55
people interacting with it that have got AI readiness.
37:59
Yeah. Right. And so, so I think our roles
38:02
start to become to recognize, oh, Ann made this thing. Oh, you know what I
38:06
could do with that? I could do this and maybe I could show that to so and so. I
38:10
think making those connections starts to feel like the the new
38:17
I don't know some some new kind of intentionality. It's not just about
38:21
learning to build the thing. It's about now that things are built, like in
38:24
content evolution, we've got these digital advisors and we're putting
38:28
together a project that's like, okay, if you're overwhelmed with information,
38:31
here are the 17 steps that you need to do that in the middle of it is this
38:36
thing that we've built, but we're giving them all that we're sort of spoon
38:39
feeding them just all sorts of tactical little steps along the way so they don't
38:43
have to figure it out. They can just use it
38:45
to learn. Is it what is it for? What do you are you learning something when
38:49
you're doing it in the system that we're putting
38:51
together? It's it's um it's we call it the information overwhelm protocol
38:58
where becau be so so because of AI right it
39:03
used to be if you were an executive people would give you a PowerPoint or
39:07
they give you a four-page report or whatever they put together well now
39:10
everyone's giving you 45page reports that they wrote with chat GPT so
39:15
everyone is inundated with too much information
39:18
and so this is a protocol to say okay just go gather all stuff, throw it into
39:23
notebook LM, put these six prompts in notebook LM and that's going to generate
39:28
this. Now take that, you know, and make your decision. And now, you know, so
39:32
it's literally, you know, take it into your digital advisor and have them back
39:36
and forth and then from there make your decision. So, it's it's literally just
39:40
saying, "Here are how to use a series of tools
39:44
that feel familiar to what you already do, but really allow you to do it at a
39:49
much higher level because it's got this AI stuff infused into it."
39:56
You know, it's the thing is like we need that tool
40:01
to get people to use that tool. There's still something missing, right? You can
40:07
or we need a human. We need a human a little sav
40:13
savviness around AI and ideally enough business savviness like you with
40:18
fundraising where someone in the room can say well here's the challenge I've
40:22
got where your brain half of it clicks in to say okay here's what I do in the
40:26
real world and then your other half goes and here's the six AI tools I would use
40:30
to to accomplish that right both of those are really important
40:34
but the most important thing there is that you're actually listening to
40:38
and and not often some AI adult fever dream.
40:45
Well, if you think about Brandon's, by the way, I have to get I I have to get
40:50
the GPT. I can't remember where I saw Is it in the salon? The link to the GPT.
40:55
Yeah. And it's it's it's a post snap something.
41:00
I think if you just go to the GPT store, but it's in the salon. Yeah.
41:03
Oh, the GPT store. Because here's what I wanted to say about that is and Brandon
41:07
being Brandon is so humble and he's I I his first post was he was like well
41:14
shucks guys I don't have I don't I don't know very many people
41:20
and I just you know I don't have a big audience but I made this thing.
41:24
Yeah. And you know it's this is an important
41:28
time for people to be able to figure out what the heck and I was thinking about
41:32
that. But I was like, "This GPT is awesome and people it is they people
41:37
will go and find it." But like it wouldn't be as good without Brandon. It
41:41
wouldn't be as good without that this nice guy who would literally never heard
41:47
a fly who gives and gives and gives to this community and and and beyond that
41:53
he made this thing and he showed up on TikTok and said, "Well, shucks guys, I
41:57
don't know. I built this thing. I hope it can be
41:59
useful. If you know someone, tell them about it." And it was just
42:03
like ah yeah it's amazing and to your to your
42:06
point technically what he did was he took a
42:10
data set put it in a GPT and wrote a prompt right
42:14
but because he's Brandon he wrote that prompt in such a way that when someone
42:19
says hey I you know I'm I'm struggling to find food in this city it writes an
42:24
empathetic response. Yeah
42:27
because he prompted it to write an empathetic response. Hey I'm sorry
42:30
you're going through that. That must be tough. you know, we've got the resources
42:33
here. We'll help you through it. Like that part of the experience has nothing
42:39
to do with the technology, has everything to do with who Brandon is.
42:42
Exactly. And that he was aware enough of how to
42:46
use the tools to be able to take that part of his value system and create
42:52
something that reflected that. That's beautiful,
42:55
right? So, so that's the thing. It's that's the
42:59
opposite of what TED AI was for you. TED AI did not have any of this. She leads
43:06
de celebrated that you could build a custom
43:11
GPT. It ignored the fact that you might build something with a custom GPT that
43:15
had heart. That had heart. Yeah.
43:18
Right. Like like they just said that the value
43:21
is only over here on the technical side. It's like no no it's it's over here as
43:26
well. And the wow moments that this thing that Kevin said about have you had
43:29
a wow moment at work. A wow moment. It's a very human moment.
43:34
Oh yeah. It might be a wow of the technology, but
43:36
it's a human moment. But the wow thing comes from you get AI to do something
43:41
that's relevant to you personally. That's what causes the wow. You're like,
43:44
"Wow, I know how to do that the other way. I
43:48
didn't know we could do it this way." Right. That's that's a very personal
43:52
thing. And that's what was missing at TEAI for me. Yeah. So there I think
43:57
there gonna be a lot of people who through they're going to be doing fun
44:02
wow stuff at home right all weekend long and then Monday's going to roll around
44:07
and they open their laptop and they look at their freaking co-pilot and they look
44:11
at their calendar and they're like I don't want to do any of this [ __ ]
44:16
anymore. Yeah. That's those are the people who
44:20
were talking about what does:44:24
like? How do we support those people who if it's their choice or not their choice
44:29
are no longer in the type of like employment, maybe they're just done
44:34
being an employee forever, but they've always been an employee. The number of
44:38
things that I had to learn, oh my goodness.
44:41
And everybody else is going to be starting from square zero.
44:45
Well, that's so so you and I have talked about this before. This is this is my my
44:51
part of my intentionality for:44:58
You and I, because we're crazy, choose to be entrepreneurs,
45:03
right? like you choose to go into the vast unknown of just I'm just going to
45:08
go book a a bank of hotel rooms in Salt Lake City, Utah
45:14
nine months out from an event that's never existed before. Right? You've got
45:20
you've whatever happened in your childhood, I'm sorry about that. That
45:24
that made you like this. I'm the same way. I'm just like, hey, let's just
45:29
start a company. So, so there are people who are naturally entrepreneurial.
45:34
That's not most people. And and even worse for some people is if they've been
45:40
in a in a position, you know, where they've been told what to do. You know,
45:44
they're in a position that's like, you know, we're going to give you
45:47
instructions of what to do. You're going to do that every day. You don't have to
45:50
think on your own. Like, there are many careers that are just, you know, just
45:53
show up for work, punch the clock, do the work. Those are the ones that are
45:57
going to be the quickest to be automated out. And so those people don't have the
46:02
innate natural skills to be an entrepreneur, but they may just be out
46:06
of work. And not only can they, you know, maybe not find a job, their whole
46:11
sector might be just automated away, right? So there's going to be a lot of
46:16
people forced into entrepreneurship or soloreneurship. And so
46:23
how do we provide I think this is you and I talked about this earlier. I think
46:26
for our communities I personally feel this. I know you do too. What is our
46:31
responsibility as leaders of these communities to provide resources,
46:36
infrastructure, training?
46:39
Yeah. like emotional support for people that that have to go from I never had to
46:45
think about what my point of view is on something or what's a problem I want to
46:50
solve that I want to start a business around. I've never had to think like
46:53
that. That's that's that's got nothing to do with tech. That is that is a a
46:58
cognitive jujitsu move that a bunch of people are
47:03
going to be forced into. That's that's hard stuff. That's really hard
47:08
stuff. Um, look what Gareth said. Just don't AI
47:14
your way out and he goes he goes Gareth is gonna talk
47:21
he's gonna tell us you know what's so perfect Gareth is that um so Gareth I'm
47:26
gonna I'll DM you after this but we might have to move you to another
47:29
weekend but I want to tell you why this is for the audience as well not just
47:33
between me and Gareth. Um, so what's so cool about um we if we do
47:41
our three interviews that we have set up for Sunday, Kyle, one would be a woman
47:46
who is uh um Trudy Armand she her her uh like new branding is she is your income
47:56
resilience bestie. So her thing is every day, what have you done for your income
48:02
resilience today? because none of us, right? If you think you have like if you
48:08
think you just have your main job and a side hustle,
48:11
maybe you need a third one, right? Because we're all running around like
48:14
this. But the the juxtaposition of Trudy and Gareth, it's just too perfect.
48:21
And her saying, "Here's how you Oh, all of a sudden you're no longer an employee
48:25
and you never have to worry had to worry about where the paper clips come from or
48:30
whatever you're using." Yeah. I just love it, you know.
48:35
Yeah. Um question. Did you want to talk about
48:37
some of the people that we've talked to over the course of this season?
48:42
Well, we only have eight minutes left. We have eight minutes. So, I'm going to
48:46
How about if I just say a few names? Beautiful.
48:51
Okay. Say the name and kind of if there's if
48:54
there's any thing you have there about either what we talked about or what what
48:57
was a highlight from from what they said.
49:01
Okay. All right. So, hold on. Everybody just
49:06
calm down. All right. So, let's see. Well, we had Jennifer Huffagel. I missed
49:12
that one. Jennifer is the educator. Um, and she is a she's very strict about
49:18
people and data privacy and security, force of nature. Love her.
49:25
Force of nature and data privacy and security.
49:28
One of one of the things that came up regularly over the course of season
49:33
zero, the last 30 episodes of this podcast was was um was the the concept
49:40
of professionalizing AI that there's playing with it is fun. Learning it is
49:45
fun, but if you're going to do this in a business context, in fact, the call that
49:48
I took from my co-founder when I was talking to you earlier was around data
49:53
privacy and things like that. So, so, um, as you as you learn to do this,
49:59
understanding that you've potentially got liability risks, your customer
50:03
potentially has liability risks, and you should understand what those are, and
50:07
you should agree with that. Just just professionalizing your AI practice is
50:12
that's something we're all going to have to deal with, especially if we're
50:14
getting paid for it. Back to the fin
50:18
resilience piece. Speaking of speaking of financial resilience, how about do
50:24
you do you remember our conversation with Sid Hargo? She he's the beautiful
50:29
storyteller. Yeah, he's amazing.
50:31
Beautiful storyteller and like so many um people who we get to hang around
50:35
with, we're catching him right in the middle of like a pivot in his life and
50:40
it's been such a delight to watch him do that. And he learned so he he went to
50:45
Festivus last year with AI.
50:49
Yeah. ended up being one of Kimberly Offford's students, learned how to make
50:53
AI videos, and that just translated into a whole new shift in his life.
50:58
Yeah. Yeah. We had Kimberly Offford on, you know, talking about, you know,
51:03
making beautiful films for Grammy award-winning musicians and we had Joy
51:08
Party on was our first guest. who was our first
51:11
she's our first guest and you know she's another one and who
51:18
you know she she was a a 30-year sleep technician
51:25
um who discovered AI film making um and the minute she discovered it she
51:30
realized oh all my life I've had these stories I've wanted to tell so it's like
51:34
she like she's a person that has has literally been waiting her whole
51:40
life for something to happen technologically that freed up.
51:45
Yeah. Her her desire to to to express herself
51:49
in a particular way like that's I I find that remarkable.
51:54
Absolutely. And those stories are crazy.
51:58
Can you imagine like for us to be able to learn what was there that now can be
52:04
liberated? I people can say whatever they want I about all of the horrible
52:09
things about AI. I do understand all of that and I feel all of it and I'm
52:13
they're not wrong. And also the opportunity for us to actually know each
52:19
other in ways that we have never been able to before because our ability to
52:26
communicate is had had been suppressed and now is less. So the joy parties of
52:32
the world and this being sleep technicians in a little room in the back
52:36
of a hospital. They need to be out. We need she Joyy's coming out.
52:41
Yeah. Do you remember um Sam Swain and Kristen
52:46
uh Steel? Kristen was the one who was like
52:49
they were great. Right. So she was very anti and then
52:52
then you know we had good conversations about AI and now she's using AI. We
52:58
wanted to have some people who were um kind of like converts a little bit. Um,
53:03
of course, Sunday. You know, you know what I what I
53:06
appreciated about her is her willingness to be in the conversation and not just
53:11
be so closed off where like we're we're in a time because of the politics of the
53:16
day where if you have an opposing opinion with
53:19
someone, it's like, well, then they're awful and you're great. It's like,
53:23
right. And so, and with this AI stuff, it can be very polarizing. So, to be in
53:29
a conversation with someone who said, "Here's what I don't like about it." Um,
53:34
and the fact that she was willing to be in that conversation and actually hear
53:40
some of the things that made possible that that that didn't make all of the
53:44
stuff she didn't like, right? Like all that all the stuff that she was talking
53:47
about, we actually agreed. Yeah, that's crappy.
53:51
And there's this other way you can think about it. and she was willing to hear
53:55
that and I thought that was a quite evolved but I just it was it was very
54:00
refreshing and the fact that they're they're
54:03
business their whole livelihood is bringing people together right
54:06
yeah exactly so introducing introducing AI and let's talk about a couple more
54:12
people do we have to stop right in three exactly in three minutes
54:16
we don't have to we're adults
54:21
it's our thing okay so
54:27
So she said, so Sundy said her real tipping point came with generative AI.
54:33
It changed the trajectory of my life. It was everything. It made problem solving,
54:37
problem presentation, decoding the different facets of my brain and
54:42
stitching it together in a way that was palatable.
54:47
What's Sy's last name again? Williams.
54:50
Sundy Williams. Yeah, she's a special one.
54:53
Yeah, she she was great. I was this idea of of brain decoding and um idea mining
55:03
and um
55:07
when you think about AI and computers, like one of the words I hear a lot is
55:10
accessibility and I think about, you know, people that are blind or people
55:13
that are, you know, deaf. I think there's a whole other layer of
55:17
accessibility where if you're neurode divergent or if you just
55:24
you maybe haven't had the capacity or the the the technical skills to be able
55:30
to articulate ideas really clearly and now that you can I think I think AI as
55:36
an accessibility tool is is is is not just for handicapped people right or you
55:42
know whatever I don't know what politically correct term is
55:47
people with disabilities. Yes, that thank you. Um, but I think
55:52
disabilities can are very subtle, right? And and so I get really inspired by
55:57
people who discover things about themselves that they would they they
56:00
have never been able to get around and now they can.
56:05
So the not the people who came on our show who had a p a use case
56:13
that they were passionate about kind of like with Brandon and his Snap um is it
56:18
called Snap GPT? It's post Snap Advisor or something like
56:23
that. Okay. Snap Advisor. Okay. So you know
56:26
people coming to the table with a use case that's like from their heart like
56:30
we saw when we did GPT for good. So, you remember Miloo and
56:35
Amber Trevetti with they they have the um their company is making a
56:42
I want to say it's like a a life slashcareer choice
56:48
gamified platform so that kids can go through the like what color is your
56:53
parachute kind of phase of life. Oh yeah. Yeah.
56:56
You know and listen to what Mai said about what's your definition of AI
57:02
readiness. She said, "I take it from a change readiness perspective. We're all
57:07
on the adoption curve. Some early, some waiting to see. Readiness means knowing
57:12
where you are, then helping others along the curve. We missed the mark with the
57:16
internet and social media. Let's get this one right. AI readiness is about
57:20
adopting it yourself and bringing others with you."
57:23
Wow. Yeah, that's really good.
57:28
She and her she and her besties, they left the company they were working for
57:32
and created their own. Yeah. I just got a got a LinkedIn invite
57:38
from some friends that are like, "We should start an agency." Like, yeah, you
57:42
know, people are going to start doing
57:45
interesting things. Um, by the way, Brandon's GPT is called Help After Snap.
57:51
Oh, help after snap. Okay. Help After Snap. Thank you.
57:56
I don't like it when I can't see the see the comments and you can. You're keeping
58:01
all the all the goodies to yourself here.
58:04
Yes, please. So, Vanessa Oh, you know what? I should
58:10
I should have asked you who this came from. You will know. So, Vanessa said
58:12
that this is Vanessa Chang, uh, who we all just are we just are in love with
58:18
othing but but more of her in:58:23
to the language of AI or nothing. We get to decide. We are the ones that are
58:28
human- centered. Businesses have power, but they're selling to us. Don't forget
58:32
your agency in this. Well, that's that's square down the pipe
58:38
of creating a daily practice with AI that that that we're working on in the
58:43
salon right now. Exactly. is is how do you
58:50
as I'm as I'm experiencing this with people and especi especially people that
58:54
are resisting AI, one of the common themes is they're
58:58
treating AI like a competitor or like something that they need to defend
59:02
themselves against as opposed to treating AI like an amplifier. So if you
59:07
if you put AI in front of you like it's this thing you have to battle then
59:11
you're constantly battling this thing that's smarter than you and that's got
59:15
that can't be pleasant. But if you say I'm leading I'm going to lead with my
59:19
ideas with my values with my agency and then I'm going to bring in AI to support
59:25
that and amplify that. Great. Right. Then
59:29
exactly that feels right to me. Well, and and
59:33
the the pieces and parts that I'm not reading are all there's I mean this has
59:37
come up in almost every single one of these. So like Tam Win talked about
59:41
start with a problem you already have and try to apply AI to that context
59:45
context. You can have a mediocre prompt as long as you feed it the right
59:50
information. I think of it like train. Well, she's talking about the intern.
59:53
What do you need to know about your business to succeed? So it's not about
59:57
the tool. Not about the tool. Um, I think, by the
::way, I think we had 31 because we have 31 people here. I'm skipping some
::because we don't 31. 31. Oh,
::uh, Mr. K. Oh, yeah. Mr.
::So, Mr. K just got his dream job. He is, did you hear this? Yeah. He's He's like
::the AI advisor for his whole school district or like the tech adviser for
::his whole school. they put him in a position where he can actually affect
::the change that he was struggling against. Um, so he's super excited about
::that. Um, why don't we do this? Why don't we
::wrap up and Okay.
::Tell me what what you're most excited about for
::season one. What am I most excited about?
::I'm excited about learning what our audience
::wants, needs, and likes from us because, you know, we did our first chunk live
::like this and then we did recordings and put it out on the podcast things and I
::feel like I don't really know that much about who all is out there, how they're
::finding us, you know, what their experience is, if
::we're delivering what they need, if we're redundant, because you and can go
::a lot of different directions. So, I'm interested in knowing more about who the
::audience is and and again meeting them where they are.
::Yep. That's good. And I for for me I'm the thing I'm excited about and
::we'll talk about this as we design the the framework for for season one is is
::the idea of intentionality that that maybe less about are you ready
::for AI and more like How are you making yourself ready for
::what you want to do using AI? Some subtle shift that's around what are what
::are people passionate about? What are their values? How are they putting that
::forward? And then how are they using AI to amplify that? That for me is the
::thing that I'm I'm excited about. Yeah. I same same. I think that there's
::something more about Yeah. the intention behind it. Boy, look
::at the things that people have made that with the intentions like with GPT for
::good. The the the tools that we made because people had a passion. The thing
::that Brandon made because he had a passion.
::Yeah. Yeah.
::Nice job, Kyle. I mean, it's for for a season zero. It was
::we we got nowhere to go but up. Just even even in binary.
::Yeah, exactly. Um, and if I'm not mistaken, we kick off season one with a
::with a special guest. Correct. Is Liz our first se our first person?
::I totally Yes. Liz Liz Miller Gersfeld, speaking of
::intentionality. So, the the woman who basically is architecting the uh the uh
::the AI practice in the salon. Um she's my co-host in the salon and she's
::joining us next week live. She's she's amazing. She's just she's an amazingly
::thoughtful and intelligent woman and just has a passion for
::it's it's almost like it's almost like her passion is figuring out life. Like
::she she hit a wall where she was like not happy in her career. She was just
::like this isn't doing it for me anymore. So I'm gonna kind of just like blow it
::up. Yeah. and go into this place of
::nothingness, but with some intentionality that I want
::to figure some things out. And she's emerging out of the other side of that
::as this powerful AI creative producing, you know, powerhouse that's got this
::amazing career. So, yeah, I'm She's going to be amazing. I'm super excited
::about that. Awesome. Me, too. Me, too. So, next time
::we chat with everybody, it'll be season one officially.
::It will. That's next week. Thank you, Ann.
::Next week. All right. See y'all later.
::Thanks, Kyle. Bye, everybody.
