March 24, 2025 • 77 mins
Two podcasts collide as Jason McGinthy from AI Ready RVA's Inspire AI joins forces with Aaron Delp of The CloudCast, bridging Richmond's emerging AI community with the cloud computing landscape. Their conversation flows naturally between practical AI applications, community-building strategies, and thought-provoking futures.
Jason McGinthy shares how AI Ready RVA, recently established as a 501(c)(3) nonprofit, aims to create an immersive environment where Richmond businesses and professionals can develop crucial AI literacy. "AI won't replace you," he claims, "but someone using AI might replace you if you're not leveraging these tools." The organization focuses particularly on supporting small and medium-sized businesses that lack enterprise-level resources for AI education.
Both hosts reveal their AI productivity strategies - Aaron has abandoned Google for Perplexity's natural language searches, while Jason leverages AI to structure presentations and podcast assistance. They discuss how AI technologies are transitioning from standalone applications to integrated features in everyday tools, making the technology more accessible while improving profitability.
The conversation takes a fascinating turn toward AI agents and trust development. While Aaron admits skepticism about delegating important tasks to autonomous systems, Jason envisions a cycle of incrementally building trust: "You give it a little autonomy, build that trust, give it more autonomy, build more trust." This journey from hesitation to acceptance mirrors how individuals will likely adapt to AI in their daily lives.
Perhaps most compelling is their shared vision of becoming "time millionaires" - using AI to eliminate mundane tasks and reclaim hours for meaningful pursuits like family time, creative work, and personal hobbies. This optimistic framing presents AI not as a replacement threat but as a liberating force that enhances human potential.
Ready to explore how AI might transform your work and community? Subscribe to both Inspire AI ("Transforming RVA Through Technology and Innovation") and The CloudCast to continue this vital conversation about our collective technological future.
Want to join a community of AI learners and enthusiasts? AI Ready RVA is leading the conversation and is rapidly rising as a hub for AI in the Richmond Region. Become a member and support our AI literacy initiatives.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Welcome RVA to Inspire AI, where we spotlight
companies and individuals in theregion who are pioneering the
development and use ofartificial intelligence.
I'm Jason McGinty from AI ReadyRVA.
At AI Ready RVA, our mission isto cultivate AI literacy in the
greater Richmond region throughawareness, community engagement
(00:24):
, education and advocacy.
Today's episode is madepossible by Modern Ancients
driving innovation with purpose.
Modern Ancients uses AI andstrategic insight to help
businesses create lasting,positive change with their
unique journey consultingpractice.
(00:44):
Find out more about how yourbusiness can grow at
modernagentscom.
And thanks to our listeners fortuning in today.
If you or your company wouldlike to be featured in the
Inspire AI Richmond episode,please drop us a message.
Don't forget to like, share orfollow our content and stay up
(01:07):
to date on the latest events forAI Ready RVA.
Welcome to Inspire AI.
Today's episode is somethingspecial.
We're breaking the mold with adual podcast collaboration.
I'm teaming up with theCloudCast, the industry's
leading cloud computing and AIpodcast.
It's a go-to resource fortechnology and business leaders
(01:49):
navigating the evolving world ofcloud computing, ai, open
source, aws, etc.
Etc.
In this episode, aaron Delp andI ditch the traditional
host-guest setup.
Instead, we co-host aconversation covering AI's
impact on industries, cloudinnovation and the future of
(02:11):
automation, ai literacy and howtechnology is transforming the
way we work.
Whether you're a businessleader, ai enthusiast or just
looking to future-proof yourcareer, this discussion is
packed with insights you won'twant.
And we're back.
Speaker 2 (02:36):
And we have maybe a slightly interesting podcast
this week, because this isactually a dual podcast, and so
if you're on Jason's podcast,which I'm going to introduce him
in a second, you might bereally confused as to who this
is.
But what we're going to bedoing this week is a bit of a
dual podcast.
(02:57):
Jason McGinty and I havedecided to put our heads
together and talk a little bitabout AI, and we both have AI
podcasts.
We're both going to bepublishing these podcasts as
well.
So, with that, why don't I kickit over to you, jason, and do a
quick introduction and telleveryone a little bit about your
podcast as well, and then I'lldo likewise?
(03:18):
Yeah, sounds good, aaron.
Thank you.
Speaker 1 (03:20):
It's pretty exciting actually, this dual podcast
opportunity.
I haven't been in the gamenearly as long as you have, but
it's podcasters like you that doinspire me to keep going
journey of learning and findingthat there's so much information
(03:44):
out there, and I looked at acouple of them, like super data
science and practical AI andsaid to myself I could really
learn a lot if I hosted apodcast and interviewed
specialists in my field, andtherefore that's just when the
idea kicked off and I startedmaking moves.
(04:04):
Six months later, I had apodcast launched.
Live Podcasting is just a sidegig for me, like it is you.
I'm a senior manager softwareengineering at Capital One.
I do that for my day job.
I'm also a board of directorsmember for AI Ready RVA.
(04:26):
For the sake of how I deliverAI and my working experience,
I'll be steering clear ofanything related to Capital One
today.
Generally speaking, I can talkabout AI and industries, and
(04:48):
especially AI and how it'sshaping the greater Richmond
region and the tracks that AIReady RVA has a vision and
mission to accelerate in thecoming years.
I would love to talk with youabout that today.
Speaker 2 (04:55):
Yeah, fantastic.
And why don't we start there?
Actually, I'll do a quick introand then we'll kind of jump
into backgrounds as well.
So for those out there that arenew listeners, first of all,
thank you.
I have a podcast that I runwith another gentleman, brian
Grace Lee, and it's called theCloudcast, and we have been
(05:16):
doing cloud computing andemerging technology.
Very similar origin story just alot longer ago.
We are going on our 15th yearof podcasting.
This is, for us, going to beepisode 900 and something.
I don't remember exactly whatthe number is going to be, but
we've been kind of same thing oflike we're in Raleigh, we
(05:39):
worked for big enterprisecompanies and wanted to learn
about this cloud computing thing, and so we started a podcast
way back when and it grew and itwas a really successful way to
give back to the community aswell.
So the community has been veryawesome at like hey, do you want
to be on the podcast?
And they're willing to sharetheir time and their knowledge,
(05:59):
and it's been amazing journeyover the years.
So, jason, tell everyone aboutthe nonprofit please.
Speaker 1 (06:08):
Sure.
So AI Ready RVA is Richmondbased.
We cater to the greaterRichmond region and beyond,
aspirationally speaking.
The nonprofit recently launchedas a 5013C in July of 2024 and
(06:31):
has been building engagingcommunity experiences ever since
.
Even before that there wasplenty of community engagement,
but we generally focus aroundthe conversation that AI is
driving change in our community.
So the mission specifically isabout AI literacy and engaging
(06:53):
the greater Richmond region ineducation, business leaders,
professionals that want to dogood in the community and
(07:14):
through which leverage ourskills, our networks, to enhance
the greater Richmond regionthrough AI literacy, as well as
various community engagementevents.
Signature events, such as thelaunch event, where we're
pulling in dozens of Richmondleaders as well as the leaders
(07:38):
in the community that help uscreate the right policies for
our businesses as they relate toAI, are the ones that we're
trying to attract attentiontowards and build partnerships.
We're also buildingpartnerships through colleges
like VCU, U of R and severalother local educational
(08:03):
structures that are going tohelp us build out our community
of thought leaders as well asdevelop these educational
organizational structures tosupport the community in its AI
literacy evolution.
So a lot of that is really justkind of in play right now and
(08:25):
building the partnerships andgenerating the funding needed to
stand up the structures is whatit's about.
So we have this vision, we havea lot of enthusiastic leaders
that want to get behind it, andnow we're generating beyond the
awareness action.
Speaker 2 (08:46):
Nice, fantastic, and I think what we're going to do
for the format of this podcastis we have a list of questions
and, rather than be a designatedhost and guest, as is typical,
this is going to be dual host,dual guest.
We're going to alternate herewith questions and topics, and
(09:07):
so, jason, why don't you startus off there?
Sure.
Speaker 1 (09:12):
Aaron, tell me how do you think AI is currently
disrupting your specific area offocus.
Speaker 2 (09:33):
So, it's really interesting because I think
there's what do I use AI for onkind of a daily basis and where
it has made the most significantimpact in both my personal and
professional.
I'll use the term like.
I use the term front end, backend, and what I mean by that is
I'm not great at times atbrainstorming things and coming
up with ideas and so like, butonce I get started I'm good and
(09:54):
so like if I can throw somethingout there to you know one of
the algorithms and you know,give me some ideas on this, and
then I can kind of go off andrunning and take that middle
piece and take it to you know apretty decent conclusion.
But then also, too, sometimesI'll get stuck on something on
the back end of like, hey, thisyou know paragraph or this you
know graphic, or some of theseother things.
And, by the way, I do you knowtechnical marketing as as kind
of my day job.
So, like, creating content is issomething I do, um, but when it
(10:18):
comes to like cleaning thingsup, like help me refine this a
little bit further I find itgood for that.
So those are kind of the thetwo biggest things.
I know a lot of a lot of folksout there use it for
summarization.
I, I, I do, but I think for meit it more just helps me when I
get, you know, a writer's blockon the creative journey,
(10:40):
sometimes Sure.
Speaker 1 (10:43):
Yeah, well, that that's where most people start,
I think, aaron.
Yeah absolutely To me.
That's exactly where I startedis just seeing what it could do,
and I think the more I iteratedon that, the more I learned
about its strengths andopportunities, if you will Sure.
So what I generally like to useit for is starting fresh,
(11:05):
getting a sense of what's thestructure that I need to develop
around this concept.
So you know, I prompt it with.
This is the scenario, this isthe role I'm playing, and what I
want to see from it is athoughtful organization of ideas
(11:26):
, and that generally will giveyou a list, an outline of sorts,
and if I'm looking to use thatin, let's say, a presentation,
to work with a community aboutthis concept or educate them
about this concept, then I willtransform the topic to you know
(11:49):
how do we develop this into apresentation, one in which is
educational and interactive, andit's really smart about taking
the history of how it's learnedabout you and what makes you
tick or what's important to you,and then generating the ideas
around that.
So, right now, ian knows prettymuch everything I know about AI,
(12:13):
ready, rba.
I have talked to it ad nauseumabout that, and so when I say
I'm creating a podcast and I'mgoing to talk with this person
about that, about this idealet's call it maybe responsible
AI and I want some really good,structured questions around
responsible AI and this personis in this industry.
(12:35):
It can help me formulate theentire structure of that Without
hesitation.
I will use like 90% of itbecause it's that good and it
knows it that well.
So, generally speaking, like Itry to take it to the extent the
edge of its capabilities everysingle time until I know that
(12:58):
it's veering off in the wrongdirection and I need to bring it
back.
You know what I mean.
Speaker 2 (13:05):
That makes perfect sense.
I love that.
How do you see the role of AIliteracy and community
engagement playing out over thenext couple of years?
Speaker 1 (13:15):
Flipping the script on me there, Aaron Well.
Speaker 2 (13:20):
See how prepared you are here.
Speaker 1 (13:21):
Yeah, I see AI literacy as being a cornerstone
of success in society.
To be perfectly blunt,everybody needs to get to know
how to use it if they're goingto want to excel in their
careers where AI can make animpact.
Where AI can make an impact,I'm sure you're familiar with
(13:49):
the statement these days that AIwon't replace you, but it will
allow somebody else that can useit to replace you or allow you
to do your job better thansomebody else that's not using
it.
Various forms of that samestatement are going to ring true
for every single person insociety over the next few years.
(14:09):
So literacy starts with you knowwhat are the basics, what do I
need to know to just functionwith these new tools?
And then it comes to likebroader learning and creating a
more structured approach toleveraging the tools, and that's
where I think the communityengagement pieces that'll help
(14:32):
you accelerate is when you'reimmersed in the opportunities,
in in the experiences thatothers in your community are
also.
What you're going to find isthat you'll hear those
experiences and be able toleverage from other experiences
the takeaway knowledge to expandwhat I just said a moment ago,
(14:54):
that taking it to the edge ofits capabilities, and you're
going to want to be able to dothat, because people in your
(15:15):
same role, competing for yourposition in your field, are
going to be doing that theuncertainty of whether or not
they should be, you know, lyinglow or just pressing forward.
I say, go for it.
Speaker 2 (15:31):
Yeah, yeah, I like that, I like that.
Let me also add a little bit tothat as well, because it
originally was supposed to bedirected at me.
I just flipped it on you, rightit at me.
I just flipped it on you, right.
Um, here's the biggest thing Isee going forward, um, and this
is just a trend you know withwith technology in our industry
as a whole, because a lot ofthese things yes, ai, you know
(15:54):
well, some people say ai isn'tnew, but I'll say gen ai is.
Gen ai is what got all the buzzand got on the mainstream.
But a lot of these technologiesjust handle your standard curve
of like they go from somethingbrand new and bespoke and then
they eventually go through thisarea where, you know, it's kind
(16:17):
of the middle of an S-curve,where you're in the middle of
the curve and everyone'sfiguring out how to turn profits
on it, and then the end of theS-curve is commoditization.
Well, what we typically see alot of times is in the beginning
, when things are bespoke, it'svery standalone, right?
Like you'll go out to OpenAI orClaude or any of these others,
(16:41):
and it's a standalone app forall intents and purposes.
But you look at, you knowMicrosoft Copilot.
You look at some of theseothers where the AI is starting
to be built into the application, and that is, I think, where
the mass adoption really startsto happen.
And I also think, from abusiness standpoint, the
(17:05):
profitability starts to happen.
And I also think, from abusiness standpoint, the
profitability starts to happen.
So something we track on ourpodcast a lot is a little bit.
We call it chasing the money.
Just because the technology isout there, is it actually
profitable?
Right now, ai is taking inbillions and billions and
billions of dollars of VC moneyand it's generating millions of
(17:30):
dollars in revenue.
You know if we're beinggenerous.
And so how do we flip thatscript long term?
Flipped long term not by beinga standalone application, but by
being baked into the tools thateveryone is already using and
(17:51):
enhancing productivity that way.
And the big thing that'srecently covered in the press is
Jevons paradox.
If you're not familiar with it,it is.
You know I'll butcher itbecause it's not in front of me,
but the summarization is youknow, as technology gets cheaper
and gets more commoditized,that it actually becomes more
(18:11):
useful, if you will, becauseit's more available to more and
more people.
And I think Jevin's paradoxboth has to come to AI and will
come to AI over time.
Yeah, has to come to AI andwill come to AI over time.
Speaker 1 (18:24):
Yeah.
Speaker 2 (18:26):
So, jason, let's move on to the next topic and let's
go back to AI-ready RVA.
Where do you see AI-ready RVAin, say, five years, and what
impact do you hope it will havein the region?
Speaker 1 (18:50):
Yeah, great question, aaron.
I think about this as a leaderof AI ready RBA and consider you
know what?
What kind of forces are wegoing to be working with in the
next five years that AI is goingto attract right?
And it's really hard to withany certainty say what's going
to happen with AI in five years,but I imagine it's only going
(19:13):
to get more powerful as atechnology.
It's only going to attract morebusinesses to using them.
And that leads me to believethat the communities, largely
speaking the ones that we aregoing to be investing heavily
into supporting, which is, theunderrepresented communities to
(19:50):
pull in grant funding,sponsorships and other
community-engaging financialpartnership-type activities to
educate the greater Richmondregion, and we're going to do
that through a number of workstreams, if you will.
One, those that are in heavilyimpacted industries.
Those are going to be the onesthat need to shift horizontally
to a new set of workingcircumstances.
(20:13):
We'll call those pivot careers,the careers where you already
do, you already leverage certainskill sets and now you're
you're enhancing them with AItechnologies to be the workforce
(20:34):
of the future.
So that's going to be another.
And then then we also we alsowant to work with the
undereducated groups that canbecome part of the workforce,
given AI capabilities, and wewant to support them in their
(20:55):
journey.
So I think those threegroupings, as well as many other
possible groupings, are theones that we're going to be
focusing on in the next threeyears.
Possible groupings are the onesthat we're going to be focusing
on in the next three years,given that we are working with
partner.
We're partnering withorganizations like VCU to
(21:15):
establish a physical base forthis organization.
We should have, you know,computer labs set up, computer
lab setup, be able to pull invarious educational content,
leveraging all sorts of trackswhere we're supporting the
learning needs of the communityin these three different work
(21:38):
streams.
And then, by five yearsassuming AI hasn't taken over
everything by five years,assuming AI hasn't taken over
everything we know that we'regoing to need to advocate more
for the community at large, andso I imagine we'll be working
(22:04):
very closely with policymakersto ensure that we can support
the community more than disruptit.
And by that I mean, if thedisruption is too fast, then no
amount of efforts that anyoneputs into slowing it down or
helping educate the individualslike you're just not going to be
able to get there fast enough.
And since it's going to move sofast, we're going to need to
work with those policymakers tosupport the growth and the
(22:27):
maturity of our operations sothat maybe more organically
divide and conquer the futureversus get slammed or thrust
directly into something that ourcommunity cannot handle.
Speaker 2 (22:45):
We're thrust directly into something that our
community cannot handle.
Yeah, yeah, I love that concept.
As well as trying to beinclusive with everything, but
also to being understanding thatat the same time, I like the
ability to absorb everything,like we've seen many instances
in our careers of technology fortechnology's sake, right, and
(23:12):
that isn't always good and itisn't always what everyone wants
, and so being thoughtful aboutall of it, I think, certainly is
super helpful and that's afantastic approach.
Thank you for that.
Speaker 1 (23:23):
Yeah.
So let me ask you a question,Aaron Sure.
How is AI making you a moreproductive person in your
personal or professional life?
Speaker 2 (23:33):
I'm.
Well, here's the thing I thinkanyone in technology is a
lifelong learner.
Like, when I say that I thinkI'm, you know, I'm honestly just
saying everyone in technologyhonestly needs to be.
And so because of that andagain it was kind of one of the
basis for starting this podcastis I really enjoy learning and
(23:55):
absorbing a lot of new topics.
There's often a lot of researchthat has to happen and a lot of
kind of summarization that hasto happen, because you'll have
conversations, whether it's aprofessional conversations or
even personal conversations,where, especially if you know
I'm the techie, and people findout I'm technical, and then you
(24:17):
know we'll be at a you know at agathering or something and
somebody's like, oh, tell meabout so-and-so, and especially,
you know my job is AI,technical marketing, and they're
like oh well, I have lots ofquestions about AI and so you
need to be able to to speak tomany different levels and many
different audiences, and I thinkAI in particular really helps
with that research andsummarization part of all of it.
(24:41):
Like I'll tell you, for instance, I don't use Google anymore.
I haven't used Google inprobably a year.
I use Perplexity.
And why do I use Perplexity?
Well, because I can just youknow, natural language language
dump out a thought and it willcome back with with decent
answers and it's not a wholebunch of ads and it gives you
(25:04):
the sources and yeah, I'vecaught it where I'm like that's
not right, like a couple oftimes, you definitely have to
trust but verify.
But you know, I tell everyoneI'm a huge proponent of that as,
again, you know, taking one ofthose use cases and building
(25:24):
into something we do and it notbeing standalone.
I use perplexity, just honestly, as my research and
summarization tool.
I mean, I use it 10, 15 times aday, every day, because I'm
just whether you know it or not.
Well, yeah, I mean, it's justit's.
I'm always typing stuff inperplexity.
(25:46):
My perplexity history is likeit's off the charts and it's
crazy.
Speaker 1 (25:51):
on the topics Do you find that it knows you really
well and it makes referenceswhen it responds to your role in
yada yada or because of yourinterests?
I think you'll want.
Speaker 2 (26:05):
Yes, you know no, I think well, so it's actually
there.
You know there's a differencethere between, okay I I,
perplexity, no, but the otherbig one I use is claude.
So from anthropic um I, Iprefer claude over open ai.
And we could go into thereasons another time.
But the Claude, when it comesto you know, true Gen AI of like
(26:31):
, help me out with something.
Or, you know, help me talkabout this or think about this,
or you know, here's somedocuments to look through.
Claude actually does afantastic job of that more
personal approach.
Perplexity is a research tool.
Claude is definitely more of asofter touch, if you will.
Speaker 1 (26:52):
Oh, I am very interested in your Claude versus
chat GPT.
Speaker 2 (26:58):
Oh, okay, Well, I'll go into it If you think it's
valuable.
I's the thing.
Speaker 1 (27:02):
Well, I don't use clouds, so I'm just curious you
know.
Speaker 2 (27:07):
No, it's you know at any given time.
I mean in the state of themodels, you know, in the very
beginnings, certain ones werebetter and you know certain ones
were, you know, more personalor certain ones were better at
say you know, give me codeversus write something for me.
Um, and this is all before,like the, the, the newer
(27:31):
reasoning models, like 01 andsome of these others, um, but
Claude, for me is because mostof the things I do is more
around help me with writing orhelp me with content, as opposed
to give me, like, write me code.
Speaker 1 (27:52):
Right.
Speaker 2 (27:53):
And I have found the approach that Claude uses.
It's more of just.
It has a subtle personality, ifyou will.
Speaker 1 (28:02):
I've heard that.
Speaker 2 (28:04):
And I've just found it to be more, both approachable
and the way it gives out theanswers, a little bit more
thoughtful.
Now I'll be the first one totell you, though, I haven't
played around with the newestgeneration reasoning models all
that much, but it's mainlybecause all that much, but it's
(28:25):
mainly because I I haven't beento the thing where I'm like, hey
, you really need to reason thisout and think about this for a
long time because I need a superthorough answer.
It's for me.
It's more I need creativeanswers than I do.
I need reasoning and scientificand factual answers in what I
use.
Speaker 1 (28:45):
Well, I see I prefer my chat bots with no personality
.
That'll just be my choice,though.
Speaker 2 (28:53):
Fair, all right, so why don't we move on here?
I'll ask you a question herewhat challenges do you foresee
in getting people more engagedwith AI education and how do you
plan to overcome them?
Speaker 1 (29:09):
Yeah, the challenges are going to be spectacular.
I think we're going to need tomeet people where they are.
We're going to need to partnerwith businesses that support the
idea of educating theiremployees, and I'm talking about
small and medium-sizedbusinesses, not the
enterprise-wide companies thathave access to all sorts of
(29:35):
educational platforms and canfund enterprise licensing for
the thousands.
Right, I'm talking about thesmaller organizations that don't
generally spend a lot of timelearning, that aren't
tech-forward organizations butneed to be learning, that aren't
(29:57):
tech forward organizations butneed to be embracing it.
So I think about that and I sayto myself how do we get what I
know to be a value into thatcommunity?
And it's really about againmeeting them where they are, so
creating a virtual environment,creating a physical environment
and allowing them to come in,and then also creating engaging
(30:17):
communities where they'reimmersed.
We want them to feel like, yes,it is something that they need
to commit to for the learningsake, but it's also something
that they should commit to forthe means of leveraging these
technologies for their benefit,and so the more they're exposed
(30:39):
to that, the more they'reexposed to information that my
organization is sharing withthem through socials and other
newsletters and podcasts andvarious cohort events and this,
that and the other.
They should have the immersiveenvironment that they'll need to
(31:01):
get there.
That said, it's going to take alot of work to convince people
that it's worth their time to doso.
My first point was we're goingto need to build partnerships
with the organizations that haveaccess to the people, and by
that we'll need to havestructures in place that are
accessible to engage thecommunities where they are,
(31:24):
through the organizations thatthey're already looped into, the
organizations that they'realready looped into.
Then we can leverage theirpower to support the cause
through their resources.
There's no way AI Ready, rva isgoing to build all the
(31:44):
resources on their own.
We're going to need to leaninto the partnerships of the
education community, the othernonprofits in the area, to say
this is important.
Let's partner, um, the otherbusinesses that that care deeply
about the future of Richmond.
This is important.
Let's partner and andstrategically, uh, solve the
(32:08):
problem at hand together.
Speaker 2 (32:11):
Yeah, and I like, I really like where you're going,
with all of that beingthoughtful at the local level
and and oh, by the way, I meanthis is a model for everyone out
there that that can easily berecreated I mean pretty much
anywhere.
Speaker 1 (32:26):
Yeah.
And and it's certainly going tobe a necessary need going
forward, yeah, I think,aspirationally speaking, if it
works in Richmond, we're goingto want to share it with other
big cities in Virginia and thesurrounding states and let it
flourish.
You know, I think about this.
(32:46):
There's an engineeringleadership community, elc.
It also happens to be a podcastEngineering leadership
community, I think it's.
It's also happens to be apodcast.
Uh, engineering leadershipcommunity, I think is what it's
called.
Uh, they, they have outsourcedtheir, their model to um other
big cities around the countryand said this is how you do it.
(33:08):
You know, if we put thestructures in place and we say
these things work, this is howyou engage the community, go and
engage your community, buildyour cohorts and we can help you
build the partnerships andsecure the grant funding to
educate your community, then,you know, hopefully it creates a
(33:32):
natural progression ofevolution across the country.
But you know, that's veryaspirational, like I said, and
we got to take first steps herein Richmond.
Speaker 2 (33:43):
Love it, I love it.
That's fantastic.
Our next question was a littlebit more about how it will
impact the industry.
And you know I kind of talkedabout commoditization.
I already talked about JevonsParadox.
I already talked about, youknow, building it into
applications.
(34:03):
But here's another thing You'retalking about education Got me
kind of thinking along adifferent line.
I'll tell everyone here'sprobably the biggest thing that
I see difference between now andfive years from now,
(34:24):
specifically in just educationand training as in kind of an
industry, whether it'sprofessional or even at the
academic level.
I've got two kids in collegeright now.
I've got one daughter inundergrad and one daughter in
post-grad and you're starting tosee it like right now this is
very timely.
(34:45):
But like there's lots of likeconcerns about professors and
use of AI, whether it's at thecollege level or at the high
school level or just incommunities in general, and it's
almost a very adversarial viewof all of this which, in my
(35:07):
opinion, is a littleshort-sighted.
And what I mean by that is, Ithink, as AI moves forward in
the industry, it just becomesanother tool in the toolbox.
Right it's, it's a screwdriver,it's a hammer.
Um, it's not the end, all beall that everyone thinks it's
(35:28):
going to be We'll eventuallysettle into.
This is where AI is useful, butI think it's upending a lot of
professions.
But I think one area inparticular is education and for
all those things we just talkedabout, whether it's Gen AI,
whether it's summarization, anddoes that then elevate the
(35:53):
quality of the work so thatthose things that were before
considered like you know, themain work streams now become
elevated to where now there'ssome higher level work or
there's some higher levelthinking that could be solved
with something like this?
And does this truly the risingtide floats, all boats, kinds of
(36:14):
things of the industry becomesbetter as a whole.
I don't know.
Speaker 1 (36:19):
I'm hopeful that that is where all of this will go
ultimately though I see so bigpicture, though, like, where do
you see AI agents fitting intoindustry change?
Because you keep going back tosummarization and research.
(36:43):
Yes, some of the very early onassistance type plays, but let's
say we start automatingworkflows.
Speaker 2 (36:52):
Yeah, so, and here's the thing'll I'll, I'll steal my
thunder from from one of theother questions we have a little
further down.
Um, I'm I don't know how I feelabout AI agents, and here's why
.
Um, I haven't seen like you seelike demos of it and you're
(37:15):
like we follow the industry andyou see like, oh, so-and-so has
AI agents out and you know it'sdoing this, it's doing that.
I haven't seen a compelling usecase yet where I'm like, oh,
wow, I need AI to do that workfor me.
Um, I could see like, okay, whatare the things I hate to do?
(37:35):
Well, I hate to do email.
Um, I, you know I spend aslittle, as little time as
possible in email.
Um, so it, hey, if there's anAI agent that kind of you know
was my email reader and and kindof would take care of those
things and kind of act like anassistant, hey, that might be
nice.
Um, but I also don't trust it,um, because I'm like, well, is
(38:01):
it going to send emails on mybehalf and what's it sending?
I want to know.
I guess maybe I'm too much of acontrol freak to to ever let it
go actually do stuff for me.
There's a difference betweendelegating stuff to it and then
trusting it to actually do itproperly.
I don't think I'm there.
Speaker 1 (38:18):
That's totally fine and there's going to be a lot of
hesitation in the world toadopting those technologies.
But the fact is is that they'rethere and they're going to
appeal so much to organizationsand individual business owners
(38:40):
to.
It's going to be hard to say no,I don't want it, just because
it's scary.
You're going to find that onceyou get past the initial shock
of it and say, let me go aheadand give it a shot and build the
(39:01):
trust between you and the model, if you will, or the agent, and
then you build that trust, yougive it a little bit more
autonomy, you build that trust.
You give it a little bit moreautonomy, you build more trust.
You start leveraging multipleagents to do more things on your
behalf.
You build more autonomy, youbuild more trust, and the cycle
(39:23):
continues and continues, andcontinues.
So I personally believe that AIis here to stay and it's only
going to get more intelligentand be able to handle more tasks
on our behalf, and everyone isgoing to be using it to the
(39:53):
fullest to your podcast agent todo everything for you except
talk, or even maybe one day youwant to give it some talking
points, and so you're justsitting there, well, and hey,
it's been a couple of weeks andit's filling in the dead air for
you.
Who knows?
Speaker 2 (40:11):
No, absolutely.
And there's, I mean, andthere's, I mean there's even
services out there you can trainon your own voice.
11 labs comes to mind.
If anybody's familiar with 11labs, I mean there are podcasts.
I know that are 11 labsgenerated yeah right now.
So somebody is writing thescript, but 11 Labs is handling
(40:32):
the voice.
Speaker 1 (40:33):
Yeah.
Speaker 2 (40:34):
Which I find super interesting.
But I'll let you know anotherstory and I'll kind of add this
as well.
So this last weekend my wifeand I we were planning a
vacation, but we had a veryspecific set of criteria for
this vacation.
So I have a whole bunch ofMarriott points and you know
anybody out there who's bigMarriott people.
(40:54):
They just did a big devaluationof it and so I've had hundreds
of thousands of points.
I was like you know what I'mcashing these in like right now
before they fully integrate inthe system and raise all the
prices.
So I was like all right, I gotpoints.
You know that I've beenliterally for years building up.
I'm going to burn all thesesuckers down at once.
(41:15):
And then I had I used to haveDelta status.
I have Delta credit card.
You get a companion pass everyyear.
I had been able to use thatsucker for like the last year or
two and I was like I am usingthis companion pass.
So my wife and I sat down onthe sofa this weekend and it was
like all right, where in theworld do you want to go, as long
as we can pay for it inMarriott points, and fly on a
companion pass.
Well, that sounds easy enoughwhen you get started.
(41:39):
And that led to two laptopssitting next to each other on
the sofa and about three hoursof hey, I can go to this
Marriott place, but oh, delta,doesn't let me fly there on the
companion pass.
And like that matrix of allthose conditions, man, if I
could have had a decent AI agentto go, I could spit all of that
(42:01):
in and it could go find thingsthat would have been amazing.
I would have literally savedhours of our lives.
Speaker 1 (42:10):
You should check out velocity black you heard of it
okay.
I have no yeah, check it outit's.
It's a concierge service thatwill basically take whatever
parameters you're looking for,in whatever time period, and go
and build out the perfectgetaway for you.
(42:31):
It's pretty far advanced interms of what the technologies
are available to the averageperson.
But I liken it to the pro modelof chat GPT, the 200 a month
(43:00):
model that that can uh run thegamut of of take it, take all of
your requests, access all theapis and make all of the
decisions on your behalf and andspit out in the uh.
Here's your itinerary at theend of of all the decisionmaking
that you're allotting, andthat's basically what Velocity
Black seems to be able to do,the pro version of ChatGPT, and
(43:21):
where I believe that theindustry is going to shift left
very soon and make it more andmore affordable and more
affordable.
Right Like right now, it's tooexpensive for people to use on
the regular and it might noteven be worth the industry's
(43:47):
time to make it availablegenerally to general populations
because it might be soexpensive to run.
But as the compute technologiesget better and better, the
models become smaller andsmaller and you know the
industry forces the innovationthat is generating these.
These possible outcomes areeffectively transforming the
(44:10):
cycle and and turning it into astate where it's very likely to
happen soon and it will beaffordable for everyone.
And if you're not using it,then you're going to be hitting
your head against the laptop forthree hours because you're not
using it and you're going tohear from your friends.
oh, I spent 30 minutes planningout my entire vacation because
(44:33):
this tool is so awesome, andyou're going to be like why
haven't I been doing that?
So there you go.
I am a firm believer that it'sall going to be there at your
taking within the next year ortwo.
Aaron.
Speaker 2 (44:46):
I love that.
Well, here, let's do this, thenI'll ask you one more question,
then we'll wrap up here.
Sure, I mean, it's a it's, itis ties into that future.
So what's, what's onefuturistic ai advancement you
hope to see in our lifetimes?
Um, so it's got to be a littlemore aspirational.
What's, what's your thinking onwhere all this can go and what
(45:07):
do you want to see?
Speaker 1 (45:08):
yeah, yeah, so when I thought about this question, I
was obviously thinking I coulduse an autonomous agent that
handles life for me.
Right Now, I don't have tospend countless hours doing the
mundane tasks, so I could dothat.
(45:28):
That would be pretty simple,something within reach, and it
would have a positive impact.
I think about futuristic and AIadvancement, as some things
will have positive impacts andsome things won't have positive
impacts.
I want to keep this as positiveas possible.
You know, if I were to be extraaspirational, we'll say I would
(46:05):
want an AI companion to be ableto do things around the house
for me that I don't want to domyself, like cleaning the dishes
, folding the the laundry,taking out the trash.
Speaker 2 (46:16):
Um so you, you want the jetsons cartoon I I want.
Speaker 1 (46:21):
What's her, what's the, the robot's name?
Speaker 2 (46:24):
yes, I want that in my house yes, uh, oh, gosh,
dorothy dotottie, something likethat.
Speaker 1 (46:33):
And I loved the Jetsons growing up.
I was looking at them flyingtheir cars to their houses up on
giant pedestals and thinkingthat's an amazing future.
Yes, you know.
But yeah, that's the future.
I think that positively wouldimpact my life if I had the
(46:54):
ability.
All right, yeah, and Aaron, youknow I've really loved this
conversation, but I want to hearabout your positive AI future.
Tell us about that.
Speaker 2 (47:03):
Sure.
So, by the way, real quick forthose following along at home,
the Jetson's maid's name wasRosie and, yes, perplexity did
tell me that, so we have thatsolved.
But here's where I reallypotentially see this going.
I really like the concept ofyou tapped into there of of time
(47:33):
savings.
Um, because I I feel like moreso, especially, uh, for us in
the technology industry.
The technology can almostbecome burdensome at times, um,
and so what I'm always lookingto do is how can I save time
(47:57):
with tasks?
But it's not necessarily so Ican do more technical tasks or
do more mundane tasks, like II've.
I've reached a point in my lifelike I'm trying to cut some of
those things out so that I havemore time with the kids, more
(48:18):
time with my family, more timefor so, um, another thing about
me, as I do a triathlon trainingand anybody that out there that
does triathlon, it's it's timeconsuming, so it allows me to do
more biking, more running andmore swimming, and so for me,
I'm all about.
(48:38):
There's a concept out therecalled the time millionaire, and
what that simply means is beingable to balance and manage your
life to the where you may notnecessarily be financially a
millionaire, but you have yourtime in a place where you have
(49:01):
lots of times, you're focusingon the right things and you're
not necessarily bogged down witha lot of these mundane things,
if you will, and so I'm a bit ofa productivity nut at times,
and so for me, like that's mybiggest thing I look for in the
future, and the biggest thing Ithink AI can bring to us is, at
(49:25):
some point we all become timemillionaires.
Speaker 1 (49:28):
Yes, I think about that in general and say the
mundane tasks are reallysoul-sucking and let life be
more enjoyable.
Let us use more of ourcreativity to whatever it is
(49:50):
that we're doing creativity towhatever it is that we're doing,
and less of of of the side ofbrain that feels like we're
doing things that we don'treally want to do, like like
filing taxes and let let the,let the computers do those
things for us so that we can getback to nature and enjoy life,
(50:11):
spending time with friends andfamily or doing something more
creative, like I said, thatbuilds, that gives us energy,
versus depletes us of energy.
You know I find myselfextremely busy on the weekends,
but with ai I can.
I can do things veryefficiently and they're so much
(50:32):
more enjoyable because I don'thave to do all of the
mind-melting work to set thingsup and get them going.
Speaker 2 (50:44):
I love that.
Speaker 1 (50:45):
Yeah.
Speaker 2 (50:45):
I think that's a great place to stop.
Yeah man, awesome.
Well, I appreciate your time,aaron.
Speaker 1 (50:57):
Absolutely.
Thank you so much as well.
I neglected to to state what mypodcast was called at the
beginning of this go ahead man,the whole introduction kind of
threw me off.
but yeah, for for the audience,the podcast Inspire AI.
It's got a longer form namecalled Transforming RVA Through
(51:17):
Technology and Innovation.
Inspire AI happens to be partof a lot of podcasts out there
and mine doesn't necessarilycome up when you just type in
Inspire AI.
So Transforming RVA ThroughTechnology and innovation will
be key to searching me out.
But yes, please join me in thisfascinating world of AI and
(51:41):
let's talk.
Speaker 2 (51:44):
Awesome.
I love that and for everyoneout there that my voice is
potentially new to you.
If you're interested inlearning more about cloud
computing, emerging technologiesand AI.
I completely admit our podcastat this point is a little bit of
a I'll use the term eclecticgrab bag of tech stuff, but it's
(52:05):
all kinds of different topics.
Keeps you on your toes.
If that sounds interesting andany of your podcast players,
just go search for the cloudcast.
Uh, we tend to uh pop up.
Um, and that's one one thing,jason, it's uh, you know, being
early to the game, you get thatseo juice, so I, I could just
put you know, put the cloudcastin anywhere and it should pop up
(52:25):
.
So, all right, jason.
Well, thank you very much foryour time this week and, uh, I
think we'll wrap it.
Speaker 1 (52:33):
Thank you absolutely good to talk to you my friend
take care bye and thanks to ourlisteners for tuning in today.
If you or your company wouldlike to be featured in an
inspire ai richmond, please dropus a message.
(52:54):
Don't forget to like, share orfollow our content and stay up
to date on the latest events forAI Ready RVA.
No-transcript.
(01:16:42):
If you or your company wouldlike to be featured in the
Inspire AI Richmond episode,please drop us a message.
Don't forget to like, share orfollow our content.
Stay up to date on the latestevents for AI Ready RVA.
Thank you again and see younext time.
Welcome RVA to Inspire AI, where we spotlight
companies and individuals in theregion who are pioneering the
development and use ofartificial intelligence.
I'm Jason McGinty from AI ReadyRVA.
At AI Ready RVA, our mission isto cultivate AI literacy in the
greater Richmond region throughawareness, community engagement
(00:24):
, education and advocacy.
Today's episode is madepossible by Modern Ancients
driving innovation with purpose.
Modern Ancients uses AI andstrategic insight to help
businesses create lasting,positive change with their
unique journey consultingpractice.
(00:44):
Find out more about how yourbusiness can grow at
modernagentscom.
And thanks to our listeners fortuning in today.
If you or your company wouldlike to be featured in the
Inspire AI Richmond episode,please drop us a message.
Don't forget to like, share orfollow our content and stay up
(01:07):
to date on the latest events forAI Ready RVA.
Welcome to Inspire AI.
Today's episode is somethingspecial.
We're breaking the mold with adual podcast collaboration.
I'm teaming up with theCloudCast, the industry's
leading cloud computing and AIpodcast.
It's a go-to resource fortechnology and business leaders
(01:49):
navigating the evolving world ofcloud computing, ai, open
source, aws, etc.
Etc.
In this episode, aaron Delp andI ditch the traditional
host-guest setup.
Instead, we co-host aconversation covering AI's
impact on industries, cloudinnovation and the future of
(02:11):
automation, ai literacy and howtechnology is transforming the
way we work.
Whether you're a businessleader, ai enthusiast or just
looking to future-proof yourcareer, this discussion is
packed with insights you won'twant.
And we're back.
Speaker 2 (02:36):
And we have maybe a slightly interesting podcast
this week, because this isactually a dual podcast, and so
if you're on Jason's podcast,which I'm going to introduce him
in a second, you might bereally confused as to who this
is.
But what we're going to bedoing this week is a bit of a
dual podcast.
(02:57):
Jason McGinty and I havedecided to put our heads
together and talk a little bitabout AI, and we both have AI
podcasts.
We're both going to bepublishing these podcasts as
well.
So, with that, why don't I kickit over to you, jason, and do a
quick introduction and telleveryone a little bit about your
podcast as well, and then I'lldo likewise?
(03:18):
Yeah, sounds good, aaron.
Thank you.
Speaker 1 (03:20):
It's pretty exciting actually, this dual podcast
opportunity.
I haven't been in the gamenearly as long as you have, but
it's podcasters like you that doinspire me to keep going
journey of learning and findingthat there's so much information
(03:44):
out there, and I looked at acouple of them, like super data
science and practical AI andsaid to myself I could really
learn a lot if I hosted apodcast and interviewed
specialists in my field, andtherefore that's just when the
idea kicked off and I startedmaking moves.
(04:04):
Six months later, I had apodcast launched.
Live Podcasting is just a sidegig for me, like it is you.
I'm a senior manager softwareengineering at Capital One.
I do that for my day job.
I'm also a board of directorsmember for AI Ready RVA.
(04:26):
For the sake of how I deliverAI and my working experience,
I'll be steering clear ofanything related to Capital One
today.
Generally speaking, I can talkabout AI and industries, and
(04:48):
especially AI and how it'sshaping the greater Richmond
region and the tracks that AIReady RVA has a vision and
mission to accelerate in thecoming years.
I would love to talk with youabout that today.
Speaker 2 (04:55):
Yeah, fantastic.
And why don't we start there?
Actually, I'll do a quick introand then we'll kind of jump
into backgrounds as well.
So for those out there that arenew listeners, first of all,
thank you.
I have a podcast that I runwith another gentleman, brian
Grace Lee, and it's called theCloudcast, and we have been
(05:16):
doing cloud computing andemerging technology.
Very similar origin story just alot longer ago.
We are going on our 15th yearof podcasting.
This is, for us, going to beepisode 900 and something.
I don't remember exactly whatthe number is going to be, but
we've been kind of same thing oflike we're in Raleigh, we
(05:39):
worked for big enterprisecompanies and wanted to learn
about this cloud computing thing, and so we started a podcast
way back when and it grew and itwas a really successful way to
give back to the community aswell.
So the community has been veryawesome at like hey, do you want
to be on the podcast?
And they're willing to sharetheir time and their knowledge,
(05:59):
and it's been amazing journeyover the years.
So, jason, tell everyone aboutthe nonprofit please.
Speaker 1 (06:08):
Sure.
So AI Ready RVA is Richmondbased.
We cater to the greaterRichmond region and beyond,
aspirationally speaking.
The nonprofit recently launchedas a 5013C in July of 2024 and
(06:31):
has been building engagingcommunity experiences ever since
.
Even before that there wasplenty of community engagement,
but we generally focus aroundthe conversation that AI is
driving change in our community.
So the mission specifically isabout AI literacy and engaging
(06:53):
the greater Richmond region ineducation, business leaders,
professionals that want to dogood in the community and
(07:14):
through which leverage ourskills, our networks, to enhance
the greater Richmond regionthrough AI literacy, as well as
various community engagementevents.
Signature events, such as thelaunch event, where we're
pulling in dozens of Richmondleaders as well as the leaders
(07:38):
in the community that help uscreate the right policies for
our businesses as they relate toAI, are the ones that we're
trying to attract attentiontowards and build partnerships.
We're also buildingpartnerships through colleges
like VCU, U of R and severalother local educational
(08:03):
structures that are going tohelp us build out our community
of thought leaders as well asdevelop these educational
organizational structures tosupport the community in its AI
literacy evolution.
So a lot of that is really justkind of in play right now and
(08:25):
building the partnerships andgenerating the funding needed to
stand up the structures is whatit's about.
So we have this vision, we havea lot of enthusiastic leaders
that want to get behind it, andnow we're generating beyond the
awareness action.
Speaker 2 (08:46):
Nice, fantastic, and I think what we're going to do
for the format of this podcastis we have a list of questions
and, rather than be a designatedhost and guest, as is typical,
this is going to be dual host,dual guest.
We're going to alternate herewith questions and topics, and
(09:07):
so, jason, why don't you startus off there?
Sure.
Speaker 1 (09:12):
Aaron, tell me how do you think AI is currently
disrupting your specific area offocus.
Speaker 2 (09:33):
So, it's really interesting because I think
there's what do I use AI for onkind of a daily basis and where
it has made the most significantimpact in both my personal and
professional.
I'll use the term like.
I use the term front end, backend, and what I mean by that is
I'm not great at times atbrainstorming things and coming
up with ideas and so like, butonce I get started I'm good and
(09:54):
so like if I can throw somethingout there to you know one of
the algorithms and you know,give me some ideas on this, and
then I can kind of go off andrunning and take that middle
piece and take it to you know apretty decent conclusion.
But then also, too, sometimesI'll get stuck on something on
the back end of like, hey, thisyou know paragraph or this you
know graphic, or some of theseother things.
And, by the way, I do you knowtechnical marketing as as kind
of my day job.
So, like, creating content is issomething I do, um, but when it
(10:18):
comes to like cleaning thingsup, like help me refine this a
little bit further I find itgood for that.
So those are kind of the thetwo biggest things.
I know a lot of a lot of folksout there use it for
summarization.
I, I, I do, but I think for meit it more just helps me when I
get, you know, a writer's blockon the creative journey,
(10:40):
sometimes Sure.
Speaker 1 (10:43):
Yeah, well, that that's where most people start,
I think, aaron.
Yeah absolutely To me.
That's exactly where I startedis just seeing what it could do,
and I think the more I iteratedon that, the more I learned
about its strengths andopportunities, if you will Sure.
So what I generally like to useit for is starting fresh,
(11:05):
getting a sense of what's thestructure that I need to develop
around this concept.
So you know, I prompt it with.
This is the scenario, this isthe role I'm playing, and what I
want to see from it is athoughtful organization of ideas
(11:26):
, and that generally will giveyou a list, an outline of sorts,
and if I'm looking to use thatin, let's say, a presentation,
to work with a community aboutthis concept or educate them
about this concept, then I willtransform the topic to you know
(11:49):
how do we develop this into apresentation, one in which is
educational and interactive, andit's really smart about taking
the history of how it's learnedabout you and what makes you
tick or what's important to you,and then generating the ideas
around that.
So, right now, ian knows prettymuch everything I know about AI,
(12:13):
ready, rba.
I have talked to it ad nauseumabout that, and so when I say
I'm creating a podcast and I'mgoing to talk with this person
about that, about this idealet's call it maybe responsible
AI and I want some really good,structured questions around
responsible AI and this personis in this industry.
(12:35):
It can help me formulate theentire structure of that Without
hesitation.
I will use like 90% of itbecause it's that good and it
knows it that well.
So, generally speaking, like Itry to take it to the extent the
edge of its capabilities everysingle time until I know that
(12:58):
it's veering off in the wrongdirection and I need to bring it
back.
You know what I mean.
Speaker 2 (13:05):
That makes perfect sense.
I love that.
How do you see the role of AIliteracy and community
engagement playing out over thenext couple of years?
Speaker 1 (13:15):
Flipping the script on me there, Aaron Well.
Speaker 2 (13:20):
See how prepared you are here.
Speaker 1 (13:21):
Yeah, I see AI literacy as being a cornerstone
of success in society.
To be perfectly blunt,everybody needs to get to know
how to use it if they're goingto want to excel in their
careers where AI can make animpact.
Where AI can make an impact,I'm sure you're familiar with
(13:49):
the statement these days that AIwon't replace you, but it will
allow somebody else that can useit to replace you or allow you
to do your job better thansomebody else that's not using
it.
Various forms of that samestatement are going to ring true
for every single person insociety over the next few years.
(14:09):
So literacy starts with you knowwhat are the basics, what do I
need to know to just functionwith these new tools?
And then it comes to likebroader learning and creating a
more structured approach toleveraging the tools, and that's
where I think the communityengagement pieces that'll help
(14:32):
you accelerate is when you'reimmersed in the opportunities,
in in the experiences thatothers in your community are
also.
What you're going to find isthat you'll hear those
experiences and be able toleverage from other experiences
the takeaway knowledge to expandwhat I just said a moment ago,
(14:54):
that taking it to the edge ofits capabilities, and you're
going to want to be able to dothat, because people in your
(15:15):
same role, competing for yourposition in your field, are
going to be doing that theuncertainty of whether or not
they should be, you know, lyinglow or just pressing forward.
I say, go for it.
Speaker 2 (15:31):
Yeah, yeah, I like that, I like that.
Let me also add a little bit tothat as well, because it
originally was supposed to bedirected at me.
I just flipped it on you, rightit at me.
I just flipped it on you, right.
Um, here's the biggest thing Isee going forward, um, and this
is just a trend you know withwith technology in our industry
as a whole, because a lot ofthese things yes, ai, you know
(15:54):
well, some people say ai isn'tnew, but I'll say gen ai is.
Gen ai is what got all the buzzand got on the mainstream.
But a lot of these technologiesjust handle your standard curve
of like they go from somethingbrand new and bespoke and then
they eventually go through thisarea where, you know, it's kind
(16:17):
of the middle of an S-curve,where you're in the middle of
the curve and everyone'sfiguring out how to turn profits
on it, and then the end of theS-curve is commoditization.
Well, what we typically see alot of times is in the beginning
, when things are bespoke, it'svery standalone, right?
Like you'll go out to OpenAI orClaude or any of these others,
(16:41):
and it's a standalone app forall intents and purposes.
But you look at, you knowMicrosoft Copilot.
You look at some of theseothers where the AI is starting
to be built into the application, and that is, I think, where
the mass adoption really startsto happen.
And I also think, from abusiness standpoint, the
(17:05):
profitability starts to happen.
And I also think, from abusiness standpoint, the
profitability starts to happen.
So something we track on ourpodcast a lot is a little bit.
We call it chasing the money.
Just because the technology isout there, is it actually
profitable?
Right now, ai is taking inbillions and billions and
billions of dollars of VC moneyand it's generating millions of
(17:30):
dollars in revenue.
You know if we're beinggenerous.
And so how do we flip thatscript long term?
Flipped long term not by beinga standalone application, but by
being baked into the tools thateveryone is already using and
(17:51):
enhancing productivity that way.
And the big thing that'srecently covered in the press is
Jevons paradox.
If you're not familiar with it,it is.
You know I'll butcher itbecause it's not in front of me,
but the summarization is youknow, as technology gets cheaper
and gets more commoditized,that it actually becomes more
(18:11):
useful, if you will, becauseit's more available to more and
more people.
And I think Jevin's paradoxboth has to come to AI and will
come to AI over time.
Yeah, has to come to AI andwill come to AI over time.
Speaker 1 (18:24):
Yeah.
Speaker 2 (18:26):
So, jason, let's move on to the next topic and let's
go back to AI-ready RVA.
Where do you see AI-ready RVAin, say, five years, and what
impact do you hope it will havein the region?
Speaker 1 (18:50):
Yeah, great question, aaron.
I think about this as a leaderof AI ready RBA and consider you
know what?
What kind of forces are wegoing to be working with in the
next five years that AI is goingto attract right?
And it's really hard to withany certainty say what's going
to happen with AI in five years,but I imagine it's only going
(19:13):
to get more powerful as atechnology.
It's only going to attract morebusinesses to using them.
And that leads me to believethat the communities, largely
speaking the ones that we aregoing to be investing heavily
into supporting, which is, theunderrepresented communities to
(19:50):
pull in grant funding,sponsorships and other
community-engaging financialpartnership-type activities to
educate the greater Richmondregion, and we're going to do
that through a number of workstreams, if you will.
One, those that are in heavilyimpacted industries.
Those are going to be the onesthat need to shift horizontally
to a new set of workingcircumstances.
(20:13):
We'll call those pivot careers,the careers where you already
do, you already leverage certainskill sets and now you're
you're enhancing them with AItechnologies to be the workforce
(20:34):
of the future.
So that's going to be another.
And then then we also we alsowant to work with the
undereducated groups that canbecome part of the workforce,
given AI capabilities, and wewant to support them in their
(20:55):
journey.
So I think those threegroupings, as well as many other
possible groupings, are theones that we're going to be
focusing on in the next threeyears.
Possible groupings are the onesthat we're going to be focusing
on in the next three years,given that we are working with
partner.
We're partnering withorganizations like VCU to
(21:15):
establish a physical base forthis organization.
We should have, you know,computer labs set up, computer
lab setup, be able to pull invarious educational content,
leveraging all sorts of trackswhere we're supporting the
learning needs of the communityin these three different work
(21:38):
streams.
And then, by five yearsassuming AI hasn't taken over
everything by five years,assuming AI hasn't taken over
everything we know that we'regoing to need to advocate more
for the community at large, andso I imagine we'll be working
(22:04):
very closely with policymakersto ensure that we can support
the community more than disruptit.
And by that I mean, if thedisruption is too fast, then no
amount of efforts that anyoneputs into slowing it down or
helping educate the individualslike you're just not going to be
able to get there fast enough.
And since it's going to move sofast, we're going to need to
work with those policymakers tosupport the growth and the
(22:27):
maturity of our operations sothat maybe more organically
divide and conquer the futureversus get slammed or thrust
directly into something that ourcommunity cannot handle.
Speaker 2 (22:45):
We're thrust directly into something that our
community cannot handle.
Yeah, yeah, I love that concept.
As well as trying to beinclusive with everything, but
also to being understanding thatat the same time, I like the
ability to absorb everything,like we've seen many instances
in our careers of technology fortechnology's sake, right, and
(23:12):
that isn't always good and itisn't always what everyone wants
, and so being thoughtful aboutall of it, I think, certainly is
super helpful and that's afantastic approach.
Thank you for that.
Speaker 1 (23:23):
Yeah.
So let me ask you a question,Aaron Sure.
How is AI making you a moreproductive person in your
personal or professional life?
Speaker 2 (23:33):
I'm.
Well, here's the thing I thinkanyone in technology is a
lifelong learner.
Like, when I say that I thinkI'm, you know, I'm honestly just
saying everyone in technologyhonestly needs to be.
And so because of that andagain it was kind of one of the
basis for starting this podcastis I really enjoy learning and
(23:55):
absorbing a lot of new topics.
There's often a lot of researchthat has to happen and a lot of
kind of summarization that hasto happen, because you'll have
conversations, whether it's aprofessional conversations or
even personal conversations,where, especially if you know
I'm the techie, and people findout I'm technical, and then you
(24:17):
know we'll be at a you know at agathering or something and
somebody's like, oh, tell meabout so-and-so, and especially,
you know my job is AI,technical marketing, and they're
like oh well, I have lots ofquestions about AI and so you
need to be able to to speak tomany different levels and many
different audiences, and I thinkAI in particular really helps
with that research andsummarization part of all of it.
(24:41):
Like I'll tell you, for instance, I don't use Google anymore.
I haven't used Google inprobably a year.
I use Perplexity.
And why do I use Perplexity?
Well, because I can just youknow, natural language language
dump out a thought and it willcome back with with decent
answers and it's not a wholebunch of ads and it gives you
(25:04):
the sources and yeah, I'vecaught it where I'm like that's
not right, like a couple oftimes, you definitely have to
trust but verify.
But you know, I tell everyoneI'm a huge proponent of that as,
again, you know, taking one ofthose use cases and building
(25:24):
into something we do and it notbeing standalone.
I use perplexity, just honestly, as my research and
summarization tool.
I mean, I use it 10, 15 times aday, every day, because I'm
just whether you know it or not.
Well, yeah, I mean, it's justit's.
I'm always typing stuff inperplexity.
(25:46):
My perplexity history is likeit's off the charts and it's
crazy.
Speaker 1 (25:51):
on the topics Do you find that it knows you really
well and it makes referenceswhen it responds to your role in
yada yada or because of yourinterests?
I think you'll want.
Speaker 2 (26:05):
Yes, you know no, I think well, so it's actually
there.
You know there's a differencethere between, okay I I,
perplexity, no, but the otherbig one I use is claude.
So from anthropic um I, Iprefer claude over open ai.
And we could go into thereasons another time.
But the Claude, when it comesto you know, true Gen AI of like
(26:31):
, help me out with something.
Or, you know, help me talkabout this or think about this,
or you know, here's somedocuments to look through.
Claude actually does afantastic job of that more
personal approach.
Perplexity is a research tool.
Claude is definitely more of asofter touch, if you will.
Speaker 1 (26:52):
Oh, I am very interested in your Claude versus
chat GPT.
Speaker 2 (26:58):
Oh, okay, Well, I'll go into it If you think it's
valuable.
I's the thing.
Speaker 1 (27:02):
Well, I don't use clouds, so I'm just curious you
know.
Speaker 2 (27:07):
No, it's you know at any given time.
I mean in the state of themodels, you know, in the very
beginnings, certain ones werebetter and you know certain ones
were, you know, more personalor certain ones were better at
say you know, give me codeversus write something for me.
Um, and this is all before,like the, the, the newer
(27:31):
reasoning models, like 01 andsome of these others, um, but
Claude, for me is because mostof the things I do is more
around help me with writing orhelp me with content, as opposed
to give me, like, write me code.
Speaker 1 (27:52):
Right.
Speaker 2 (27:53):
And I have found the approach that Claude uses.
It's more of just.
It has a subtle personality, ifyou will.
Speaker 1 (28:02):
I've heard that.
Speaker 2 (28:04):
And I've just found it to be more, both approachable
and the way it gives out theanswers, a little bit more
thoughtful.
Now I'll be the first one totell you, though, I haven't
played around with the newestgeneration reasoning models all
that much, but it's mainlybecause all that much, but it's
(28:25):
mainly because I I haven't beento the thing where I'm like, hey
, you really need to reason thisout and think about this for a
long time because I need a superthorough answer.
It's for me.
It's more I need creativeanswers than I do.
I need reasoning and scientificand factual answers in what I
use.
Speaker 1 (28:45):
Well, I see I prefer my chat bots with no personality
.
That'll just be my choice,though.
Speaker 2 (28:53):
Fair, all right, so why don't we move on here?
I'll ask you a question herewhat challenges do you foresee
in getting people more engagedwith AI education and how do you
plan to overcome them?
Speaker 1 (29:09):
Yeah, the challenges are going to be spectacular.
I think we're going to need tomeet people where they are.
We're going to need to partnerwith businesses that support the
idea of educating theiremployees, and I'm talking about
small and medium-sizedbusinesses, not the
enterprise-wide companies thathave access to all sorts of
(29:35):
educational platforms and canfund enterprise licensing for
the thousands.
Right, I'm talking about thesmaller organizations that don't
generally spend a lot of timelearning, that aren't
tech-forward organizations butneed to be learning, that aren't
(29:57):
tech forward organizations butneed to be embracing it.
So I think about that and I sayto myself how do we get what I
know to be a value into thatcommunity?
And it's really about againmeeting them where they are, so
creating a virtual environment,creating a physical environment
and allowing them to come in,and then also creating engaging
(30:17):
communities where they'reimmersed.
We want them to feel like, yes,it is something that they need
to commit to for the learningsake, but it's also something
that they should commit to forthe means of leveraging these
technologies for their benefit,and so the more they're exposed
(30:39):
to that, the more they'reexposed to information that my
organization is sharing withthem through socials and other
newsletters and podcasts andvarious cohort events and this,
that and the other.
They should have the immersiveenvironment that they'll need to
(31:01):
get there.
That said, it's going to take alot of work to convince people
that it's worth their time to doso.
My first point was we're goingto need to build partnerships
with the organizations that haveaccess to the people, and by
that we'll need to havestructures in place that are
accessible to engage thecommunities where they are,
(31:24):
through the organizations thatthey're already looped into, the
organizations that they'realready looped into.
Then we can leverage theirpower to support the cause
through their resources.
There's no way AI Ready, rva isgoing to build all the
(31:44):
resources on their own.
We're going to need to leaninto the partnerships of the
education community, the othernonprofits in the area, to say
this is important.
Let's partner, um, the otherbusinesses that that care deeply
about the future of Richmond.
This is important.
Let's partner and andstrategically, uh, solve the
(32:08):
problem at hand together.
Speaker 2 (32:11):
Yeah, and I like, I really like where you're going,
with all of that beingthoughtful at the local level
and and oh, by the way, I meanthis is a model for everyone out
there that that can easily berecreated I mean pretty much
anywhere.
Speaker 1 (32:26):
Yeah.
And and it's certainly going tobe a necessary need going
forward, yeah, I think,aspirationally speaking, if it
works in Richmond, we're goingto want to share it with other
big cities in Virginia and thesurrounding states and let it
flourish.
You know, I think about this.
(32:46):
There's an engineeringleadership community, elc.
It also happens to be a podcastEngineering leadership
community, I think it's.
It's also happens to be apodcast.
Uh, engineering leadershipcommunity, I think is what it's
called.
Uh, they, they have outsourcedtheir, their model to um other
big cities around the countryand said this is how you do it.
(33:08):
You know, if we put thestructures in place and we say
these things work, this is howyou engage the community, go and
engage your community, buildyour cohorts and we can help you
build the partnerships andsecure the grant funding to
educate your community, then,you know, hopefully it creates a
(33:32):
natural progression ofevolution across the country.
But you know, that's veryaspirational, like I said, and
we got to take first steps herein Richmond.
Speaker 2 (33:43):
Love it, I love it.
That's fantastic.
Our next question was a littlebit more about how it will
impact the industry.
And you know I kind of talkedabout commoditization.
I already talked about JevonsParadox.
I already talked about, youknow, building it into
applications.
(34:03):
But here's another thing You'retalking about education Got me
kind of thinking along adifferent line.
I'll tell everyone here'sprobably the biggest thing that
I see difference between now andfive years from now,
(34:24):
specifically in just educationand training as in kind of an
industry, whether it'sprofessional or even at the
academic level.
I've got two kids in collegeright now.
I've got one daughter inundergrad and one daughter in
post-grad and you're starting tosee it like right now this is
very timely.
(34:45):
But like there's lots of likeconcerns about professors and
use of AI, whether it's at thecollege level or at the high
school level or just incommunities in general, and it's
almost a very adversarial viewof all of this which, in my
(35:07):
opinion, is a littleshort-sighted.
And what I mean by that is, Ithink, as AI moves forward in
the industry, it just becomesanother tool in the toolbox.
Right it's, it's a screwdriver,it's a hammer.
Um, it's not the end, all beall that everyone thinks it's
(35:28):
going to be We'll eventuallysettle into.
This is where AI is useful, butI think it's upending a lot of
professions.
But I think one area inparticular is education and for
all those things we just talkedabout, whether it's Gen AI,
whether it's summarization, anddoes that then elevate the
(35:53):
quality of the work so thatthose things that were before
considered like you know, themain work streams now become
elevated to where now there'ssome higher level work or
there's some higher levelthinking that could be solved
with something like this?
And does this truly the risingtide floats, all boats, kinds of
(36:14):
things of the industry becomesbetter as a whole.
I don't know.
Speaker 1 (36:19):
I'm hopeful that that is where all of this will go
ultimately though I see so bigpicture, though, like, where do
you see AI agents fitting intoindustry change?
Because you keep going back tosummarization and research.
(36:43):
Yes, some of the very early onassistance type plays, but let's
say we start automatingworkflows.
Speaker 2 (36:52):
Yeah, so, and here's the thing'll I'll, I'll steal my
thunder from from one of theother questions we have a little
further down.
Um, I'm I don't know how I feelabout AI agents, and here's why
.
Um, I haven't seen like you seelike demos of it and you're
(37:15):
like we follow the industry andyou see like, oh, so-and-so has
AI agents out and you know it'sdoing this, it's doing that.
I haven't seen a compelling usecase yet where I'm like, oh,
wow, I need AI to do that workfor me.
Um, I could see like, okay, whatare the things I hate to do?
(37:35):
Well, I hate to do email.
Um, I, you know I spend aslittle, as little time as
possible in email.
Um, so it, hey, if there's anAI agent that kind of you know
was my email reader and and kindof would take care of those
things and kind of act like anassistant, hey, that might be
nice.
Um, but I also don't trust it,um, because I'm like, well, is
(38:01):
it going to send emails on mybehalf and what's it sending?
I want to know.
I guess maybe I'm too much of acontrol freak to to ever let it
go actually do stuff for me.
There's a difference betweendelegating stuff to it and then
trusting it to actually do itproperly.
I don't think I'm there.
Speaker 1 (38:18):
That's totally fine and there's going to be a lot of
hesitation in the world toadopting those technologies.
But the fact is is that they'rethere and they're going to
appeal so much to organizationsand individual business owners
(38:40):
to.
It's going to be hard to say no,I don't want it, just because
it's scary.
You're going to find that onceyou get past the initial shock
of it and say, let me go aheadand give it a shot and build the
(39:01):
trust between you and the model, if you will, or the agent, and
then you build that trust, yougive it a little bit more
autonomy, you build that trust.
You give it a little bit moreautonomy, you build more trust.
You start leveraging multipleagents to do more things on your
behalf.
You build more autonomy, youbuild more trust, and the cycle
(39:23):
continues and continues, andcontinues.
So I personally believe that AIis here to stay and it's only
going to get more intelligentand be able to handle more tasks
on our behalf, and everyone isgoing to be using it to the
(39:53):
fullest to your podcast agent todo everything for you except
talk, or even maybe one day youwant to give it some talking
points, and so you're justsitting there, well, and hey,
it's been a couple of weeks andit's filling in the dead air for
you.
Who knows?
Speaker 2 (40:11):
No, absolutely.
And there's, I mean, andthere's, I mean there's even
services out there you can trainon your own voice.
11 labs comes to mind.
If anybody's familiar with 11labs, I mean there are podcasts.
I know that are 11 labsgenerated yeah right now.
So somebody is writing thescript, but 11 Labs is handling
(40:32):
the voice.
Speaker 1 (40:33):
Yeah.
Speaker 2 (40:34):
Which I find super interesting.
But I'll let you know anotherstory and I'll kind of add this
as well.
So this last weekend my wifeand I we were planning a
vacation, but we had a veryspecific set of criteria for
this vacation.
So I have a whole bunch ofMarriott points and you know
anybody out there who's bigMarriott people.
(40:54):
They just did a big devaluationof it and so I've had hundreds
of thousands of points.
I was like you know what I'mcashing these in like right now
before they fully integrate inthe system and raise all the
prices.
So I was like all right, I gotpoints.
You know that I've beenliterally for years building up.
I'm going to burn all thesesuckers down at once.
(41:15):
And then I had I used to haveDelta status.
I have Delta credit card.
You get a companion pass everyyear.
I had been able to use thatsucker for like the last year or
two and I was like I am usingthis companion pass.
So my wife and I sat down onthe sofa this weekend and it was
like all right, where in theworld do you want to go, as long
as we can pay for it inMarriott points, and fly on a
companion pass.
Well, that sounds easy enoughwhen you get started.
(41:39):
And that led to two laptopssitting next to each other on
the sofa and about three hoursof hey, I can go to this
Marriott place, but oh, delta,doesn't let me fly there on the
companion pass.
And like that matrix of allthose conditions, man, if I
could have had a decent AI agentto go, I could spit all of that
(42:01):
in and it could go find thingsthat would have been amazing.
I would have literally savedhours of our lives.
Speaker 1 (42:10):
You should check out velocity black you heard of it
okay.
I have no yeah, check it outit's.
It's a concierge service thatwill basically take whatever
parameters you're looking for,in whatever time period, and go
and build out the perfectgetaway for you.
(42:31):
It's pretty far advanced interms of what the technologies
are available to the averageperson.
But I liken it to the pro modelof chat GPT, the 200 a month
(43:00):
model that that can uh run thegamut of of take it, take all of
your requests, access all theapis and make all of the
decisions on your behalf and andspit out in the uh.
Here's your itinerary at theend of of all the decisionmaking
that you're allotting, andthat's basically what Velocity
Black seems to be able to do,the pro version of ChatGPT, and
(43:21):
where I believe that theindustry is going to shift left
very soon and make it more andmore affordable and more
affordable.
Right Like right now, it's tooexpensive for people to use on
the regular and it might noteven be worth the industry's
(43:47):
time to make it availablegenerally to general populations
because it might be soexpensive to run.
But as the compute technologiesget better and better, the
models become smaller andsmaller and you know the
industry forces the innovationthat is generating these.
These possible outcomes areeffectively transforming the
(44:10):
cycle and and turning it into astate where it's very likely to
happen soon and it will beaffordable for everyone.
And if you're not using it,then you're going to be hitting
your head against the laptop forthree hours because you're not
using it and you're going tohear from your friends.
oh, I spent 30 minutes planningout my entire vacation because
(44:33):
this tool is so awesome, andyou're going to be like why
haven't I been doing that?
So there you go.
I am a firm believer that it'sall going to be there at your
taking within the next year ortwo.
Aaron.
Speaker 2 (44:46):
I love that.
Well, here, let's do this, thenI'll ask you one more question,
then we'll wrap up here.
Sure, I mean, it's a it's, itis ties into that future.
So what's, what's onefuturistic ai advancement you
hope to see in our lifetimes?
Um, so it's got to be a littlemore aspirational.
What's, what's your thinking onwhere all this can go and what
(45:07):
do you want to see?
Speaker 1 (45:08):
yeah, yeah, so when I thought about this question, I
was obviously thinking I coulduse an autonomous agent that
handles life for me.
Right Now, I don't have tospend countless hours doing the
mundane tasks, so I could dothat.
(45:28):
That would be pretty simple,something within reach, and it
would have a positive impact.
I think about futuristic and AIadvancement, as some things
will have positive impacts andsome things won't have positive
impacts.
I want to keep this as positiveas possible.
You know, if I were to be extraaspirational, we'll say I would
(46:05):
want an AI companion to be ableto do things around the house
for me that I don't want to domyself, like cleaning the dishes
, folding the the laundry,taking out the trash.
Speaker 2 (46:16):
Um so you, you want the jetsons cartoon I I want.
Speaker 1 (46:21):
What's her, what's the, the robot's name?
Speaker 2 (46:24):
yes, I want that in my house yes, uh, oh, gosh,
dorothy dotottie, something likethat.
Speaker 1 (46:33):
And I loved the Jetsons growing up.
I was looking at them flyingtheir cars to their houses up on
giant pedestals and thinkingthat's an amazing future.
Yes, you know.
But yeah, that's the future.
I think that positively wouldimpact my life if I had the
(46:54):
ability.
All right, yeah, and Aaron, youknow I've really loved this
conversation, but I want to hearabout your positive AI future.
Tell us about that.
Speaker 2 (47:03):
Sure.
So, by the way, real quick forthose following along at home,
the Jetson's maid's name wasRosie and, yes, perplexity did
tell me that, so we have thatsolved.
But here's where I reallypotentially see this going.
I really like the concept ofyou tapped into there of of time
(47:33):
savings.
Um, because I I feel like moreso, especially, uh, for us in
the technology industry.
The technology can almostbecome burdensome at times, um,
and so what I'm always lookingto do is how can I save time
(47:57):
with tasks?
But it's not necessarily so Ican do more technical tasks or
do more mundane tasks, like II've.
I've reached a point in my lifelike I'm trying to cut some of
those things out so that I havemore time with the kids, more
(48:18):
time with my family, more timefor so, um, another thing about
me, as I do a triathlon trainingand anybody that out there that
does triathlon, it's it's timeconsuming, so it allows me to do
more biking, more running andmore swimming, and so for me,
I'm all about.
(48:38):
There's a concept out therecalled the time millionaire, and
what that simply means is beingable to balance and manage your
life to the where you may notnecessarily be financially a
millionaire, but you have yourtime in a place where you have
(49:01):
lots of times, you're focusingon the right things and you're
not necessarily bogged down witha lot of these mundane things,
if you will, and so I'm a bit ofa productivity nut at times,
and so for me, like that's mybiggest thing I look for in the
future, and the biggest thing Ithink AI can bring to us is, at
(49:25):
some point we all become timemillionaires.
Speaker 1 (49:28):
Yes, I think about that in general and say the
mundane tasks are reallysoul-sucking and let life be
more enjoyable.
Let us use more of ourcreativity to whatever it is
(49:50):
that we're doing creativity towhatever it is that we're doing,
and less of of of the side ofbrain that feels like we're
doing things that we don'treally want to do, like like
filing taxes and let let the,let the computers do those
things for us so that we can getback to nature and enjoy life,
(50:11):
spending time with friends andfamily or doing something more
creative, like I said, thatbuilds, that gives us energy,
versus depletes us of energy.
You know I find myselfextremely busy on the weekends,
but with ai I can.
I can do things veryefficiently and they're so much
(50:32):
more enjoyable because I don'thave to do all of the
mind-melting work to set thingsup and get them going.
Speaker 2 (50:44):
I love that.
Speaker 1 (50:45):
Yeah.
Speaker 2 (50:45):
I think that's a great place to stop.
Yeah man, awesome.
Well, I appreciate your time,aaron.
Speaker 1 (50:57):
Absolutely.
Thank you so much as well.
I neglected to to state what mypodcast was called at the
beginning of this go ahead man,the whole introduction kind of
threw me off.
but yeah, for for the audience,the podcast Inspire AI.
It's got a longer form namecalled Transforming RVA Through
(51:17):
Technology and Innovation.
Inspire AI happens to be partof a lot of podcasts out there
and mine doesn't necessarilycome up when you just type in
Inspire AI.
So Transforming RVA ThroughTechnology and innovation will
be key to searching me out.
But yes, please join me in thisfascinating world of AI and
(51:41):
let's talk.
Speaker 2 (51:44):
Awesome.
I love that and for everyoneout there that my voice is
potentially new to you.
If you're interested inlearning more about cloud
computing, emerging technologiesand AI.
I completely admit our podcastat this point is a little bit of
a I'll use the term eclecticgrab bag of tech stuff, but it's
(52:05):
all kinds of different topics.
Keeps you on your toes.
If that sounds interesting andany of your podcast players,
just go search for the cloudcast.
Uh, we tend to uh pop up.
Um, and that's one one thing,jason, it's uh, you know, being
early to the game, you get thatseo juice, so I, I could just
put you know, put the cloudcastin anywhere and it should pop up
(52:25):
.
So, all right, jason.
Well, thank you very much foryour time this week and, uh, I
think we'll wrap it.
Speaker 1 (52:33):
Thank you absolutely good to talk to you my friend
take care bye and thanks to ourlisteners for tuning in today.
If you or your company wouldlike to be featured in an
inspire ai richmond, please dropus a message.
(52:54):
Don't forget to like, share orfollow our content and stay up
to date on the latest events forAI Ready RVA.
No-transcript.
(01:16:42):
If you or your company wouldlike to be featured in the
Inspire AI Richmond episode,please drop us a message.
Don't forget to like, share orfollow our content.
Stay up to date on the latestevents for AI Ready RVA.
Thank you again and see younext time.
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