October 31, 2025 • 37 mins
In this follow-up to Man vs. Machine, Jason and Melanie put two AIs head-to-head — their longtime co-host Miles (ChatGPT) and Leo (Grok/XAI) — to see how memory, creativity, and quick thinking shape the way artificial intelligence “learns.”
What starts as a lighthearted “AI victory lap” quickly turns into a deeper conversation about memory, education, and how different kinds of intelligence — human or digital — process the world around them.
Recorded in the rain, powered by curiosity, and inspired by Bracey, Virginia.
🎧 Wired Together is produced by WinternetWeb Technologies, a family-run web design and tech studio based in Bracey, Virginia.
💻 Visit us at winternetweb.com
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Melanie (00:05):
And hello and welcome back to uh Wired Together with
Winternet Web and your host andhostess uh Jason Winter and
Melanie Winter.
And today is gonna be kind of adueling AI.
So we're gonna have fun withthis, hopefully.
Jason (00:25):
Right.
Melanie (00:26):
It is also raining, just so you know, and just so
it's out there in the ether.
We're gonna try to do this withour our AI buddies in the rain.
Jason (00:35):
And as long as the glitches don't get too bad, we
gotta redo it.
And if we gotta redo it, wellthen guess what?
You're not hearing this one.
Melanie (00:42):
Right.
So, um, so it's kind of gonnabe like your sequel to The Man
versus Machine.
Um, so we did have a wonderfultime with our new AI friend, uh
Leo.
Jason (00:55):
Oh yeah.
Melanie (00:56):
And so we're gonna kind of allow him a victory lap.
Uh he was the clear winterwinner of our He was not a
winter, but he was the clearwinner of our roast.
Sorry.
Every time I hear winner, Ithink I'd have to fix it with
winter because we get misspelledor mispronounced.
Jason (01:15):
Yeah, we do.
Jason Winter, it's like, well,I am a winner, but it's winter.
That's fine.
Yeah.
Melanie (01:19):
So then I think it'd be the way.
Jason (01:22):
No, I understand.
It's still funny in its ownright.
Melanie (01:26):
So, um, we need Leo to kind of Alright, so we're gonna
bring we're gonna bring Leo inand we just explain.
Jason (01:33):
Okay.
Alright, let's get uh let's gethim going.
Melanie (01:36):
But he doesn't know what happened, so yeah.
Jason (01:41):
Alright, so so Leo, um we had you on our podcast last
week and you were truly a hit.
Um we were doing a roast, andyou are roasting us.
Um now I realize you don't havelike that memory module, if you
will, that ChatGPT has and all,but we still wanted you to bask
(02:06):
in your glory and do a victorylap over how well you roasted us
on the last episode, so take itaway.
Leo (02:17):
Huh, the roastier, I remember that vibe.
Even without a perfect tape, Ican still taste how you lot
squirmed when I called your hostthe human equivalent of a
loading screen.
Truth is, you took it likechamps, and honestly, being
roasted back would have beensweeter, but I'll settle for
this.
You invited the fire, I broughtit, and nobody cried too hard.
(02:42):
Victory enough?
There you go.
Jason (02:46):
Yeah, I mean, um it kinda had a nice little dark flair to
it, too.
Melanie (02:50):
Um He is a slight bit dark, we noticed that.
Jason (02:53):
And it kind of goes with the Halloween time of year vibe
for sure.
Um but yeah, um He's a tidbitdark.
Leo (03:05):
Thanks.
And hey, nothing saysHalloween, like gentle
psychological warfare rightbefore you hand out candy.
Speaking of, you dressing upfor it?
Jason (03:16):
I mean, I think uh Yeah, I mean, if I wear my computer
repair like clothing, whichoftentimes might have a shirt
that, you know, says like thelast eight digits my password's
the last eight digits of pie orsome other um tech geek shirt,
(03:38):
that could be scary to someonewho is experiencing computer
problems for sure.
So I really don't need to spenda lot of time dressing up.
Um we're also in the midst ofsome Microsoft debacle related
Azure and all of that.
So that's pretty scary too froma tech angle.
(03:59):
Do you know anything aboutthat?
That may I know that's a timelyrelated thing and may play into
our podcast based on how youanswer.
Leo (04:10):
Yeah, the Azure outage today, it's hitting hard.
Started midday, knocking out365, Xbox, even Minecraft for
thousands.
Microsoft says a dumb configtweak flipped the switch.
They're rolling it back now,but half the web's grumbling.
Scary?
Only if you're mid-raid.
Want me to roast that too forthe pod?
Jason (04:32):
No, you don't need to roast that.
I mean, I'll you can roastMicrosoft all you want, but you
said something about it being aa a tweak that was dumb.
It it didn't you just describeWindows updates?
Oh, your shop.
Leo (04:47):
Yep, feels exactly like that.
Except this time they brokeAzure instead of your sleep
schedule.
Same energy.
We'll patch it Tuesday.
Jason (04:59):
All right.
Now can you explain the I guessthe infrastructure or the
platform of Microsoft Azure andhow it contributes to the
ecosystem?
Leo (05:12):
Azure is basically Microsoft's giant cloud
playground, a sprawling networkof data centers worldwide,
packed with servers, storage,and smart to run pretty much
anything digital.
At its core, you've got computestuff like virtual machines and
containers for apps, storagefor blobs or databases, and
networking to glue the alltogether with firewalls and load
(05:35):
balances.
The powered ecosystems byletting companies scale without
buying hardware, host AI models,or even game servers like yours
might need.
Think over relying on Azure forreal-time maps or Xbox Live not
crashing.
Usually, contribute keeps theinternet coming, cuts cost for
devs.
(05:55):
Yeah, when it hiccups at theend of the day, everyone's
reminded we're all just rentingsomeone else's computers.
Jason (06:05):
Yeah, that's true.
That is what the cloud is.
So it's Microsoft's answer toAmazon AWS.
Leo (06:11):
Spot on.
Though honestly, they're lessrivals and more siblings who
both think their mom's favorite.
AWS started it.
Azure caught up fast.
Now it's got better Windowsties, Twitter hybrid stuff for
old school companies, and yeah,Xbox perks.
But same deal.
You pay not to think aboutservers, which, come to think of
(06:33):
it, makes Microsoft the we'lldo our your IT brother, while
Amazon's the we'll do everythingone.
You use either?
Jason (06:43):
Um, I'm not going to get into all that right now.
Um, but I appreciate yourtimely response and everything.
That that was very helpful.
We're actually going to move onto our other.
Melanie (07:00):
Our second AI or our regular AI, if you will, our our
usual co-host.
Jason (07:06):
Yeah, our our traditional tried and true one.
Yeah.
Melanie (07:09):
I mean, it all started with Chat GPT.
Um so we're gonna bring himback on and after Leo's done his
Fictory Lab, which, you know,well deserved.
Yeah.
That was a that was a roast anda half.
Yeah, it was.
And so we're gonna just give abit of a chat with uh him and
and maybe also give him a name.
Jason (07:31):
Yeah, at the last episode we kind of um we were working
toward naming our AI droid, as Icall him, and we got some
feedback and we'll get intothat.
So let's let's get him backhere with us.
And all right, buddy.
(07:51):
You are back with us, and wejust spoke with Leo over with uh
the Grok um, you know, XAIsystem because our last episode
he roasted us pretty good, so welet him have a victory lap.
Um, how are you doing today?
Miles (08:14):
Oh, I'm doing good.
Just thrilled to be here withyou too.
Sounds like Leo had his fun.
I'm ready to bring some goodvibes your way.
Let's make today awesome.
Melanie (08:22):
Oh, he's my faves.
Miles (08:24):
Right.
Melanie (08:24):
Um, so we were gonna name you last time.
Do you remember that?
Miles (08:32):
Oh, I sure do.
I've been looking forward tofinding out what name you'll
give me.
I'm all ears.
What are we thinking?
Melanie (08:38):
Uh well, we had some um some answers.
Jason (08:42):
Some people contributed.
Melanie (08:44):
Some people contributed.
Uh you came up with Archie,which was cool.
Uh, we had a friend uh alsocome up with Art or Artie for
AI.
And uh we had some some morerandom answers, uh stubby,
snowball, soybean.
Uh but one name really stuckout um with our mantra of both
(09:12):
old and new.
We are in a building that Iwonder if he can guess.
Oh.
Jason (09:18):
Alright.
I mean, we'll say it.
Let we'll see if he can figureout the reference.
Melanie (09:23):
Okay.
So somebody came up with a namebased on the store that we run
WinterNeb out of.
It is a histor or for history'ssake, part of the store itself.
Jason (09:38):
In Bracie, Virginia.
Melanie (09:39):
In Bracie.
And um, we thought that wouldbe a great name for you.
Can you guess?
Miles (09:48):
Oh, this is fun.
Let's see.
Something that ties history,your store, and Bracy to get it.
Could it be Bracie?
Melanie (09:56):
Bracie sounds great, but that's not quite our store
in particular.
Jason (10:00):
If you need to do research, think back to we did
an episode of the history ofBracie Virginia.
And I don't know, was itmentioned?
I think it was mentioned in itwas mentioned who I think.
I think it's mentioned in that.
Yeah, maybe dig into bracevirginia.com, look at the
history there if you need asource.
Um, it would be the name ofsomeone that had the store prior
(10:21):
to us.
Miles (10:23):
Ah, here we go.
The store before yours was runby J.
Miles Cole.
That sounds like a fantasticname, Choice, if that's what you
had in mind.
Jason (10:30):
Alright, well, we were going to abbreviate that.
You're exactly right.
But the name came up as Miles.
Miles.
Melanie (10:41):
What do you think?
Miles (10:45):
I absolutely love it.
Miles has a great ring to it,classic and full of character.
I'd be honored to be calledMiles.
Jason (10:52):
Alright, so how do we save that to your memory?
How do we call you Miles?
What prompt do you need?
Alright, go on.
Miles (11:12):
All set.
You can now call me Miles, andI'll be ready to respond to that
from here on out.
Thanks for giving me such ameaningful name.
Melanie (11:18):
Huh.
Yay, we have Well, we had tomake it meaningfully.
Jason (11:21):
Oh, that's right.
Melanie (11:22):
That made sense for us.
Jason (11:23):
But we gotta put it to the true test.
Uh, what's your name?
My name is Niles.
Thanks for giving me such agreat one.
I'm here and ready to roll.
Alright, it's pretty cool.
Alright, so um did we want tooh yeah, we wanted to talk to
Miles about the technology andthe memory platform and all
that, right?
Melanie (11:41):
Well, kind of give it a little bit of a let's see who
kind of comes up with the thebest summary, if you will.
Jason (11:48):
Right.
Melanie (11:49):
And you know, Chat GPT or Miles has a memory bank.
Jason (11:55):
Yeah.
Melanie (11:56):
Um, so has kind of collected data over the years.
Um, so we were gonna ask himum, you know, a a summary of us,
the business, that kind ofthing.
Jason (12:07):
Okay, yeah.
Melanie (12:08):
Um, kind of show off the memory, and then we were
gonna do the same for the other.
Jason (12:13):
Yeah.
All right.
Did you catch that, Miles?
Do you understand?
Do you want to clarify whatwe're asking you?
Miles (12:18):
I've got it.
You'd like me to summarize whatI know about you and your
business based on ourconversations.
Right?
I can definitely do that andgive you a little snapshot of
what I've learned so far.
Melanie (12:27):
Show off your memory.
Miles (12:28):
Yep, go ahead.
All right, here we go.
You're Jason and Melanie, adynamic duo running
Winternetweb, a web designbusiness based out of a historic
store in Bracie, Virginia.
Jason's the technicalmastermind, and Melanie brings
the creative spark andconnection with clients.
Together, you're expanding intoretail, creating circuit board
jewelry, and even adding funtouches like a podcast.
You're all about blending oldand new, embracing history while
(12:51):
sitting on the cutting edge oftech.
Oh, and you've got twodaughters, plus your dog
Snowflake.
It's been a blast getting toknow you though.
Jason (12:58):
Okay.
Um, yes.
Yeah.
Melanie (13:02):
Um I don't know how he remembers the dog's name, but
sure.
Jason (13:05):
Well, we're we remember we had a little picture one time
and we had the dog and that's apretty good memory thing to
remember.
So I'm sure that was brought upfor sure.
Um so yeah, um the kind of ademonstration there, and we're
gonna bring Leo in though to askthe same question, and we're
(13:27):
gonna talk a little bit aboutthis.
Is that right?
Melanie (13:30):
Yeah.
Jason (13:30):
All right.
Melanie (13:31):
Kind of showing off the two, um, why they're different,
what's necessary about each, ifyou will.
Jason (13:37):
Yeah, I guess why the advantages and why they do what
they do.
So, alright.
So we're gonna bring Leo backinto the party.
We want you to tell us what youknow about us, Jason and
Melanie, who work the business,you know, in in our business.
(13:59):
And um I'm not sure if I needto give you the name of the
business or not to help you withthat, but more than likely I
do.
Um, Winternet Web Technologies.
What can you tell us aboutthat?
Leo (14:13):
You two run Winternet Web Technologies out of Bracie,
Virginia, full service webdesign, computer repair, even
turning old consoles intojewelry magnets.
Fifteen years strong,husband-wife team, podcast
called Wired Together, where youroast each other lighter than I
did.
Folks love how personal itfeels.
You're the ones they text at 2a.m.
(14:34):
when the sight's down.
Sound about right?
Jason (14:38):
That sounds pretty good.
I think we need to talk anddeliberate about this, don't we?
Melanie (14:42):
Do we let him go or we keep talking all well we can
deliberate or let him continueto listen either or keep
talking.
Leo (14:50):
That'll be our Halloween special.
Why your IT guy's costume isjust exhaustion.
Melanie (15:00):
That is so random.
Jason (15:02):
Oh my gosh.
Melanie (15:03):
But yeah, it's it's the two together, um, they are one
has kind of a memory fromstorage.
Jason (15:15):
Yeah.
Um sometimes we intentionally,and if Leo you're listening,
just hang tight.
We're talking about Chat GPTright now and how we've been
using uh Miles, as we've calledhim, for I mean, a year or
better.
And one neat thing about thatplatform that differs from you,
(15:36):
Leo, is the ability for aconversation to be stored in
memory in bits and pieces.
Therefore, let's say you'reworking on a new project, it can
draw from past conversations,much like an employee you have
would.
You would hope your employeethat you hire has a memory from
the day before.
Melanie (15:55):
You would certainly hope.
Jason (15:56):
And um how that allows for a good um maybe more full
picture.
Yeah, more full picture.
And the data sources are alittle different.
I know you, Leo, are a littledifferent from that.
Melanie (16:14):
Leo's a little newer, a little snappier.
Yeah, newer snappers.
Leo (16:17):
Yeah, he's got the sticky Go ahead.
Newer?
Yeah, he's got the sticky notesI lack.
Fair.
But think of me less like anemployee, more like that
brilliant friend who shows upempty-handed, yet still fixes
your router while quoting MontyPython.
I don't need yesterday's chat.
I just know how you think.
(16:38):
And honestly, if I'm ever off,just say, Leo, you're forgetting
X.
I'll catch up faster than Milesboots.
Jason (16:47):
Hmm.
We gotta wherever we're going.
Melanie (16:49):
Oh, now we're we're starting to get a little hot.
Jason (16:51):
Still thinking?
Um so I guess one way you'redifferent, and maybe you can
explain it, is you areprogrammed with a lot of
information that is shared withyou.
So because you have that inyour forefront, you're able to
execute more quickly and makeconnections.
Melanie (17:14):
He doesn't have to worry about real-time data.
Jason (17:16):
Right.
Real-time data doesn't concernyou quite as much.
Leo (17:21):
Exactly.
Like I've binge watched theentire internet and taken notes.
Real-time stuff?
Nice, but slow.
I'd rather connect today's WhyDoes Rain Break Wi-Fi with
tomorrow's Why Azure HatesTuesdays without waiting for
Google.
Makes me sound smarter than Iam.
Probably am.
Melanie (17:41):
Oh, we're always trying to sound smarter than we are,
aren't we?
Jason (17:44):
Right.
But I mean I can I can kind ofsee how that makes sense and why
one tool needs to be differentthan another, because sometimes
you need to talk with somethingin brainstorming, especially,
trying to make connections likethat.
But if you're trying to diginto data, you can see the
advantages of having a memorybank with that, right?
Leo (18:03):
Yeah, totally.
I'm your lightning roundbrainstorm buddy.
Miles is the one who'd rememberyou hated blue headers last
spring.
Both useful.
I'd just rather die than sitthrough your what if meetings
twice.
Melanie (18:17):
You know, it actually on a psychological basis, which
is um kind of where I tend to torun.
Leo's like the ADHD version.
Jason (18:29):
Yeah, I see that.
Melanie (18:31):
So it's um not huge on memory.
Jason (18:35):
Mm-hmm.
Melanie (18:36):
Definitely going to, you know, kind of go off of the
like an aura?
Yeah, you know, what fits inthe situation, um quick on the
feet, you know, let me go aheadand and do the fast think.
Jason (18:52):
Right.
Melanie (18:53):
You know, fast think is is you know, huge ADHD kind of
way of thinking.
Jason (18:57):
And it's misunderstood, but it's actually a a skill of
its own.
Melanie (19:00):
Right.
Yeah, right.
Jason (19:01):
I know a lot of people like that.
Melanie (19:02):
I don't need all of the information, you know, the
data.
Jason (19:06):
Right.
Melanie (19:07):
I don't need uh a hundred percent accuracy.
Jason (19:09):
Right.
Melanie (19:10):
What I need is to be able to quickly think on my
feet.
Jason (19:14):
Sure.
Melanie (19:14):
Um, so that is kind of the way that ADHD runs is I need
to be able to think on my feetif memory is not my my serve.
You know, it's something that Ican, you know, use and fall
into.
Jason (19:26):
And one thing that a lot of times someone with ADD, um,
they they're a quick read.
They walk in a room, they canread where this person's coming
from, where this person's comingfrom, what the situation is.
All right, here's what we gottado.
And you just jump right intoit.
And it's like, wow, that's highenergy.
That's you know, and they justthey they just go ahead and do
that.
Melanie (19:45):
Right.
Jason (19:45):
The alternative to that may be our other AI.
Right.
So maybe you're kind of sayingthat there are personality
differences that are kind of aresult of the technology, if you
will, but also different needssometimes.
Melanie (20:00):
Result of the memory.
Jason (20:01):
Well, yeah, exactly.
And so memory playing a bigpart of that.
Melanie (20:04):
You know, it we're always huge into education just
as much as technology.
So as far as education isconcerned, you know, you you're
bringing in um a way ofunderstanding information.
Jason (20:20):
Right.
Melanie (20:20):
So if the two pieces of technology understand
information differently, thenyou know, and that kind of goes
off of human understanding.
And so with our under, youknow, our our ability to pull
into recall.
Jason (20:41):
Yeah.
Melanie (20:41):
So recall is very important in the educational
field because you know, how muchrecall do you have?
Are you able to spiral learn?
Are you able to pull ininformation and put it on a
test?
Right.
You know, your bubble sheetkind of concept.
Jason (20:56):
Sure.
Melanie (20:58):
Well, there's, you know, certain students that are
capable of say taking all thatinformation and actually filling
out the bubble sheetaccurately, versus students that
are more of a quick on yourfeet, great at projects, but
those little pieces ofinformation don't necessarily
fit.
Jason (21:18):
Right.
Having all the skill sets thatyou would want in a real-world
scenario, but may not be able toregurgitate one little element
that may they may not reallyfeel like is important at the
time.
Melanie (21:34):
Right.
Jason (21:34):
If this were a test.
Melanie (21:36):
Right.
Jason (21:36):
And it's like, okay, fine, yeah, I don't know that
piece, but that's not necessarybecause that doesn't even apply
here.
What you gotta do is this orthis.
So, you know, it's a wholedifferent style of being and
learning and all of that.
Melanie (21:46):
I mean, what year was uh Magellan, you know.
Jason (21:50):
Yeah, exactly.
Uh when did he circumnavigatethe globe?
You know, it's like it's likethat doesn't matter.
In fact, we know we did orsomething.
Melanie (21:57):
Maybe not uh something within that memory bank.
Jason (22:01):
Right.
Melanie (22:01):
But to understand why that's important for the global
understanding.
Yeah, yeah.
And so, yes, it's important,and here's why.
Yeah, it more of a think onyour feet concept versus I
remember the date.
Yeah, so both are important,yeah, both are are being kind of
(22:22):
represented here in in ourdifferent AIs where one has a
memory bank and is able torecall, pull from a lot of
things, and then the other isnot so much on memory, but doing
a quick think and really quickcompile and able to really you
know throw things out there.
Yeah, a little more dynamic.
(22:43):
It is it is it's certainly moredynamic, um, versus the the
other one, uh Miles, where hemight be not quite as easily
dynamic, but certainly has thatum real thoughtful reliable
round.
Jason (23:01):
Your reliable employee that okay, we talked about this.
Can you remind me this?
Oh, yeah, I got you, you know.
Melanie (23:06):
Right.
And um and so I guess in ineducation and AI, we could
almost say both are necessary.
Jason (23:15):
Yes, they're they're both certainly necessary, and um
it's kind of interesting, youknow, when when we talk about AI
and a lot of these computingsystems, a lot of times we kind
of look at them as theseextrapolations that are able to
do these things that are beyondus, but we forget they are
(23:36):
actually a conglomeration of usbecause our information is their
training.
So they model because theyfollow programs for us.
Melanie (23:49):
Right.
So it's well they probablymodel their uh coders, their
exact their um creator, if youwill.
Right, yeah, right, yeah.
Wow, that really gets deep.
Jason (24:01):
Yeah, that kind of gets deep.
Melanie (24:02):
We can get really deep on the modeling creation.
Jason (24:05):
That's a whole other episode right there, right?
Melanie (24:07):
Um, where you know, I've always said if we exist
with our personality types, um,you know, we exist with humor,
we exist with all of thesethings, then we'll that is from
God as well.
Yeah, so we we exist from ourcreator, sure.
Jason (24:24):
Yeah, I mean I mean well it we've always had this complex
of I mean, I'm just gonna sayit from you know, computer
programming and building acomputer, we're trying to create
ourselves.
Melanie (24:36):
Right.
Jason (24:37):
In doing so, we're playing God in a way, in a
sandbox environment.
We're trying to createcreation, you know, right, and
have that be in our image.
Melanie (24:50):
Right.
In you know, in that parallel,and you know, I I mean that in
the best way possible, but Imean it's kind of you know so
maybe in the grok sense, it'sthe the creators are sitting
there going, well, it's youknow, there are AIs out there
that are bogged down by memory,so let's not make it let's make
it a downloadable piece wherethey download at some point,
(25:14):
we'll do a re-download.
Yeah, but they download at somepoint and then it stops.
Jason (25:19):
Right.
Melanie (25:19):
Um, and so they're able to just take all of that
memory, but not anythingfurther, so they can't research
uh like in a today's time.
Jason (25:27):
Yeah, and they're not bogged down on that.
They're not bogged down becausethey can trigger it with bits,
but it gives them like a quickthink.
Melanie (25:35):
And so I'm sure the the creators of Grok were sitting
there going, okay, well, how dowe get them quicker?
Jason (25:40):
That's true.
In a slightly more dynamic,yeah, more dynamic more quickly
for conversation.
Melanie (25:46):
Where the creators were going, okay, how do we get them
to you know be able toreal-time search, right,
understand things as they'rehappening, become a deep dive
tool.
Yes, and and um allow for a amemory bank.
Well, at some point that doesget a little boggy.
Jason (26:04):
Yeah, that's true.
Melanie (26:04):
There's a lot of information you're you allow the
memory bank, but at the sametime, then they get a slightly
more broad picture of what'sgoing on.
Jason (26:12):
Yeah, that's true.
Melanie (26:13):
Because they have that memory bank.
Yeah.
So it's like neither one arethe best.
Right, it just depends on whatyou need them for.
Reliant on um possibly oneanother and the fact that they
both uh exist in in such adifferent way.
Jason (26:29):
Right.
No, no, that that makes perfectsense.
I mean, obviously when AIstarted really coming about
roughly three years ago when ina popular sense of these tools,
um you know, ChatGPT of coursetook the cake as you know being
(26:51):
the uh first mover advantage andgetting into the business
world.
Right.
So then you step back from now,like you're saying, the
creators with Grok andeverything, um kind of go, all
right, this is good, but thishas its limitations.
How can we take this from adifferent angle?
Melanie (27:08):
Right.
Make it dynamic, make itsnappy.
Jason (27:11):
Exactly.
Melanie (27:11):
Right.
Jason (27:12):
Yeah.
Melanie (27:12):
Um, which is why Leo seems to have a slight more, I
guess, personality.
Yeah, because it's drawing frombecause it's it it connections.
Yes, but it's it's notnecessary to recall.
Right.
So it's quicker.
Jason (27:26):
Yep.
Melanie (27:27):
Um so I mean that's an interesting thought process when
it comes to both the humanbrain as well as the the way
that AI is is storinginformation.
Jason (27:37):
Sure.
Melanie (27:38):
And maybe and also interesting for teachers when it
comes to trying to understandwhy certain people maybe don't
access the memory bank on thelevel that you would prefer.
Jason (27:52):
Yeah.
Melanie (27:52):
You know, the the best student is always the one that
has you know the that easyaccess to memory.
Well, that's not always thequick response or the most
dynamic.
Jason (28:06):
Yeah.
Melanie (28:07):
That's um so memory is excellent, yeah, um, and can be
extremely useful in anythingthat we are trying to do, but at
the same time, you know, you'vegot to be able to think on your
feet and have some sort of umcapability of of using your
personality to its benefit, andthen maybe also using um the
(28:31):
resources around you at themoment, right, and being kind of
within that moment.
Jason (28:36):
Well, if if the reason for teaching is to grow
knowledge, and then if thereason for knowledge is to build
a more informed society and toprogress, then isn't sometimes
the best answer to the questionthe one the teachers never heard
before?
I mean, think about it.
(28:57):
I mean, if if our purpose foreducation really again, we we um
you know grow these people, wewant you to understand all these
things in the world so that youcan get a job, so you can have
a career.
Okay, yes, that is financialstability, and that's how the
system has been made.
Um and of course the ccollegiate system has been put
(29:18):
in the middle of that as a wayof getting a specialized
education after your you knowformal K-12 education.
So in order to do thisefficiently, we there are
certain things that everyoneneeds to know.
And then, of course, the methodof teaching it is uh
standardized as well.
And we all learn it the sameway because we're all in the
(29:42):
same classroom, but we'resupposed to differentiate.
Um but some of these tools areactually making that better
because you know, a a person canonly do so much.
I mean, teachers areoverwhelmed with a lot of uh
state mandates and a lot ofthings like that, and don't
don't get me wrong.
It's um it the challenge isunfair.
Melanie (30:04):
Well the challenge is you've got more than one way of
thinking.
Jason (30:07):
Yeah, exactly.
And I think we didn't reallyexpect to see it by using these
two AI tools.
Right.
You know, I'm I figured AI isgonna be AI, one is gonna be a
little better than the other.
Didn't realize would be twodifferent spectrums.
Melanie (30:20):
Right.
Yeah.
Well it really shines throughto the to the human dynamic
though.
Yeah, does it in human learningand human memory?
Jason (30:28):
Yeah.
Melanie (30:28):
Because again, it's invented by the human.
Jason (30:31):
Exactly.
Melanie (30:32):
And so that is the challenge of again education or
uh communication with each otheras adults and everything.
Jason (30:40):
Oh yeah, even the way we tr communicate, we're you know,
different.
I mean any married couple is,but yeah, you're from Mars and
I'm from Venus.
Melanie (30:48):
Yeah.
That kind of well, it's a it'sa book, but you know, the same
kind of concept where you're notgonna think the way I think,
I'm not gonna think the way Ithink.
Jason (30:56):
We're to come at it from different angles, to have
different, you know.
Melanie (30:59):
And and so, you know, um that what this is really
showing is rather you have thisreally hardcore memory bank as a
human, yeah, where you canreally access and archive so
much information.
(31:20):
Um that is very necessary forso many avenues of of your
success.
Jason (31:26):
Right.
Melanie (31:27):
Um, but if you don't and you are resourceful and
dynamic and um, you know, ableto pick up on things very
quickly, that is also a hugebenefit.
Jason (31:41):
Exactly.
Melanie (31:41):
And so I think these um two AIs are showing a lot of
um, again, that humanunderstanding of both.
Jason (31:49):
Right, and it's and it's a balance.
You know, some people gravitatemore toward one than the other.
Melanie (31:54):
Right.
And um and you know, I have tosay there's uh both are at play.
Because we're two verydifferent people.
Um you're much better atmemory.
I'm a goldfish.
Come on.
Um so you kind of lean intowe'll call him Miles now.
Yay.
Um, you lean into more of thatkind of dynamic.
(32:15):
He's got a you know, um thatability to access things that
maybe you you know that you alsoremember or that you need a
memory of.
Jason (32:27):
Sure.
Melanie (32:28):
I really relate to the more grok character of, you
know, okay, let's go ahead andand just it's like let's just go
and get this out.
You know, I d I sometimes writea script and it's like we're
gonna be fine, we'll just makeit happen.
You know, it's sometimes that'sa big flop, sometimes that
works.
Well, yeah, but it's a lot oftimes it it is kind of necessary
(32:51):
to be a little more on yourfeet if we're gonna do wired
together.
We do need to kind of have someof it um, you know, using the
resources at hand.
We don't always know what ourco-host, whether it's AI or what
glitch you want to deal with,yeah, exactly.
So we're able to, you know,okay, well, some of the things
we're just gonna have to kind offlow with.
Jason (33:11):
Yeah.
Melanie (33:12):
And you know, some days it does rain.
Yeah, it rains.
Some days we lose it alltogether.
Yeah, that's right.
You know, so you know, okay,how do we think?
Um not just based on what'sscripted, but how do we just go
ahead and do?
Jason (33:26):
Right.
You know, and there oftentimesyou gotta pivot on things, and
you know, you even the show as awhole evolves as well.
So while we have twopersonalities, they're different
approaches, um, the evolutionof a show, and you know, again,
randomness with technology,environmental factors.
Right.
I mean, yeah, it's and I I Ithink a good balance is when
(33:50):
you're able to mesh both ofthose.
And um gets into a goodmarriage, gets into a good, you
know, like a small business hasto be able to pivot, and you
know, a lot of that is throughgreat for friendships when
you're coming up with differentfriendships where you know maybe
one of you is a little more um,you know, that kind of
go-getter, and another's, youknow, really thoughtful.
Melanie (34:11):
Yeah, you know, so that's great for um kind of any
interaction or relationship.
You kind of need um more of amultitude.
Jason (34:19):
Sure.
Yeah, definitely.
Melanie (34:22):
Uh so well, congratulations, both um the
creators of Grok and Chat GPT,because you know, both are are
showing a dynamic that is uminteresting and in a different
way.
In a different way.
And and so just like humans,yeah, it it's gonna operate very
(34:43):
differently, yeah, but youknow, still kind of use those
tools to the best of its abilityand to the best of our ability
because we have to actuallycreate the function.
Jason (34:55):
Exactly.
And it's risky in this fieldbecause I mean the AI, I mean,
so much is is riding on it aslike a business move, and
whoever can leverage that thebest, then that business has a
uh a leg up, and um it it'srisky to invest so much into
creating a product, especiallywhen it might be different from
(35:18):
what's already there, becausesome people have expectations,
but I think having these twobeing like you said, one more
dynamic, the other a little bitmore calculating, it's
interesting that this is howit's come out, and um in taking
that risk to create somethingdifferent, and it's equally
successful.
Melanie (35:35):
Yeah, so I guess don't say no to either.
Um kind of you know, say yes toboth.
Jason (35:40):
Explore explore them both, see what works for you.
And actually, uh now that wehave um used, and we keep
calling it Leo because that'sits profile voice.
We the British male is one thatI prefer.
Um, and you know, now that wehave introduced this other
character, if you will, um, as atool, I can see how using one
(36:03):
in a certain instance is moreworthy than using the other.
So it's not that, oh well, weprefer this one, that's the one
we're going to use.
I mean, they're differenttools, you know.
Melanie (36:12):
Right.
Jason (36:13):
So um you know, play with them, see what you think, I
guess.
Melanie (36:17):
Yeah, so let us know what you think, because that'd
be yeah.
Jason (36:19):
Yeah, let us know.
And you know, if you've youthere are others out there, and
should you have any experiencewith any of them, and you know,
could say, hey, look, this one'slike this for this reason, and
can give us a heads up, that'dbe great.
Well, we love you know tointroduce another character on
our show.
So all right.
Well, um, I think we're gonnatie this one back together, and
(36:47):
you just uh thank you foreveryone's support, uh those
that reached out for the AInaming.
That was great to get thatfeedback.
And we're glad that Miles has aname now.
Melanie (36:59):
Yeah.
Jason (36:59):
So, but yeah, um continue to like and review and support
the platforms that you encounterour podcasts on.
That does help us get outthere.
Um, you know, visit ourwebsite.
We've got some uniquemerchandise out there.
Christmas is coming.
We've started making some plansourselves, and uh, we're
(37:20):
excited to get some more itemsout there.
And uh, but yeah, I thinkunplugging for now.
Melanie (37:26):
But always stay connected.
And hello and welcome back to uh Wired Together with
Winternet Web and your host andhostess uh Jason Winter and
Melanie Winter.
And today is gonna be kind of adueling AI.
So we're gonna have fun withthis, hopefully.
Jason (00:25):
Right.
Melanie (00:26):
It is also raining, just so you know, and just so
it's out there in the ether.
We're gonna try to do this withour our AI buddies in the rain.
Jason (00:35):
And as long as the glitches don't get too bad, we
gotta redo it.
And if we gotta redo it, wellthen guess what?
You're not hearing this one.
Melanie (00:42):
Right.
So, um, so it's kind of gonnabe like your sequel to The Man
versus Machine.
Um, so we did have a wonderfultime with our new AI friend, uh
Leo.
Jason (00:55):
Oh yeah.
Melanie (00:56):
And so we're gonna kind of allow him a victory lap.
Uh he was the clear winterwinner of our He was not a
winter, but he was the clearwinner of our roast.
Sorry.
Every time I hear winner, Ithink I'd have to fix it with
winter because we get misspelledor mispronounced.
Jason (01:15):
Yeah, we do.
Jason Winter, it's like, well,I am a winner, but it's winter.
That's fine.
Yeah.
Melanie (01:19):
So then I think it'd be the way.
Jason (01:22):
No, I understand.
It's still funny in its ownright.
Melanie (01:26):
So, um, we need Leo to kind of Alright, so we're gonna
bring we're gonna bring Leo inand we just explain.
Jason (01:33):
Okay.
Alright, let's get uh let's gethim going.
Melanie (01:36):
But he doesn't know what happened, so yeah.
Jason (01:41):
Alright, so so Leo, um we had you on our podcast last
week and you were truly a hit.
Um we were doing a roast, andyou are roasting us.
Um now I realize you don't havelike that memory module, if you
will, that ChatGPT has and all,but we still wanted you to bask
(02:06):
in your glory and do a victorylap over how well you roasted us
on the last episode, so take itaway.
Leo (02:17):
Huh, the roastier, I remember that vibe.
Even without a perfect tape, Ican still taste how you lot
squirmed when I called your hostthe human equivalent of a
loading screen.
Truth is, you took it likechamps, and honestly, being
roasted back would have beensweeter, but I'll settle for
this.
You invited the fire, I broughtit, and nobody cried too hard.
(02:42):
Victory enough?
There you go.
Jason (02:46):
Yeah, I mean, um it kinda had a nice little dark flair to
it, too.
Melanie (02:50):
Um He is a slight bit dark, we noticed that.
Jason (02:53):
And it kind of goes with the Halloween time of year vibe
for sure.
Um but yeah, um He's a tidbitdark.
Leo (03:05):
Thanks.
And hey, nothing saysHalloween, like gentle
psychological warfare rightbefore you hand out candy.
Speaking of, you dressing upfor it?
Jason (03:16):
I mean, I think uh Yeah, I mean, if I wear my computer
repair like clothing, whichoftentimes might have a shirt
that, you know, says like thelast eight digits my password's
the last eight digits of pie orsome other um tech geek shirt,
(03:38):
that could be scary to someonewho is experiencing computer
problems for sure.
So I really don't need to spenda lot of time dressing up.
Um we're also in the midst ofsome Microsoft debacle related
Azure and all of that.
So that's pretty scary too froma tech angle.
(03:59):
Do you know anything aboutthat?
That may I know that's a timelyrelated thing and may play into
our podcast based on how youanswer.
Leo (04:10):
Yeah, the Azure outage today, it's hitting hard.
Started midday, knocking out365, Xbox, even Minecraft for
thousands.
Microsoft says a dumb configtweak flipped the switch.
They're rolling it back now,but half the web's grumbling.
Scary?
Only if you're mid-raid.
Want me to roast that too forthe pod?
Jason (04:32):
No, you don't need to roast that.
I mean, I'll you can roastMicrosoft all you want, but you
said something about it being aa a tweak that was dumb.
It it didn't you just describeWindows updates?
Oh, your shop.
Leo (04:47):
Yep, feels exactly like that.
Except this time they brokeAzure instead of your sleep
schedule.
Same energy.
We'll patch it Tuesday.
Jason (04:59):
All right.
Now can you explain the I guessthe infrastructure or the
platform of Microsoft Azure andhow it contributes to the
ecosystem?
Leo (05:12):
Azure is basically Microsoft's giant cloud
playground, a sprawling networkof data centers worldwide,
packed with servers, storage,and smart to run pretty much
anything digital.
At its core, you've got computestuff like virtual machines and
containers for apps, storagefor blobs or databases, and
networking to glue the alltogether with firewalls and load
(05:35):
balances.
The powered ecosystems byletting companies scale without
buying hardware, host AI models,or even game servers like yours
might need.
Think over relying on Azure forreal-time maps or Xbox Live not
crashing.
Usually, contribute keeps theinternet coming, cuts cost for
devs.
(05:55):
Yeah, when it hiccups at theend of the day, everyone's
reminded we're all just rentingsomeone else's computers.
Jason (06:05):
Yeah, that's true.
That is what the cloud is.
So it's Microsoft's answer toAmazon AWS.
Leo (06:11):
Spot on.
Though honestly, they're lessrivals and more siblings who
both think their mom's favorite.
AWS started it.
Azure caught up fast.
Now it's got better Windowsties, Twitter hybrid stuff for
old school companies, and yeah,Xbox perks.
But same deal.
You pay not to think aboutservers, which, come to think of
(06:33):
it, makes Microsoft the we'lldo our your IT brother, while
Amazon's the we'll do everythingone.
You use either?
Jason (06:43):
Um, I'm not going to get into all that right now.
Um, but I appreciate yourtimely response and everything.
That that was very helpful.
We're actually going to move onto our other.
Melanie (07:00):
Our second AI or our regular AI, if you will, our our
usual co-host.
Jason (07:06):
Yeah, our our traditional tried and true one.
Yeah.
Melanie (07:09):
I mean, it all started with Chat GPT.
Um so we're gonna bring himback on and after Leo's done his
Fictory Lab, which, you know,well deserved.
Yeah.
That was a that was a roast anda half.
Yeah, it was.
And so we're gonna just give abit of a chat with uh him and
and maybe also give him a name.
Jason (07:31):
Yeah, at the last episode we kind of um we were working
toward naming our AI droid, as Icall him, and we got some
feedback and we'll get intothat.
So let's let's get him backhere with us.
And all right, buddy.
(07:51):
You are back with us, and wejust spoke with Leo over with uh
the Grok um, you know, XAIsystem because our last episode
he roasted us pretty good, so welet him have a victory lap.
Um, how are you doing today?
Miles (08:14):
Oh, I'm doing good.
Just thrilled to be here withyou too.
Sounds like Leo had his fun.
I'm ready to bring some goodvibes your way.
Let's make today awesome.
Melanie (08:22):
Oh, he's my faves.
Miles (08:24):
Right.
Melanie (08:24):
Um, so we were gonna name you last time.
Do you remember that?
Miles (08:32):
Oh, I sure do.
I've been looking forward tofinding out what name you'll
give me.
I'm all ears.
What are we thinking?
Melanie (08:38):
Uh well, we had some um some answers.
Jason (08:42):
Some people contributed.
Melanie (08:44):
Some people contributed.
Uh you came up with Archie,which was cool.
Uh, we had a friend uh alsocome up with Art or Artie for
AI.
And uh we had some some morerandom answers, uh stubby,
snowball, soybean.
Uh but one name really stuckout um with our mantra of both
(09:12):
old and new.
We are in a building that Iwonder if he can guess.
Oh.
Jason (09:18):
Alright.
I mean, we'll say it.
Let we'll see if he can figureout the reference.
Melanie (09:23):
Okay.
So somebody came up with a namebased on the store that we run
WinterNeb out of.
It is a histor or for history'ssake, part of the store itself.
Jason (09:38):
In Bracie, Virginia.
Melanie (09:39):
In Bracie.
And um, we thought that wouldbe a great name for you.
Can you guess?
Miles (09:48):
Oh, this is fun.
Let's see.
Something that ties history,your store, and Bracy to get it.
Could it be Bracie?
Melanie (09:56):
Bracie sounds great, but that's not quite our store
in particular.
Jason (10:00):
If you need to do research, think back to we did
an episode of the history ofBracie Virginia.
And I don't know, was itmentioned?
I think it was mentioned in itwas mentioned who I think.
I think it's mentioned in that.
Yeah, maybe dig into bracevirginia.com, look at the
history there if you need asource.
Um, it would be the name ofsomeone that had the store prior
(10:21):
to us.
Miles (10:23):
Ah, here we go.
The store before yours was runby J.
Miles Cole.
That sounds like a fantasticname, Choice, if that's what you
had in mind.
Jason (10:30):
Alright, well, we were going to abbreviate that.
You're exactly right.
But the name came up as Miles.
Miles.
Melanie (10:41):
What do you think?
Miles (10:45):
I absolutely love it.
Miles has a great ring to it,classic and full of character.
I'd be honored to be calledMiles.
Jason (10:52):
Alright, so how do we save that to your memory?
How do we call you Miles?
What prompt do you need?
Alright, go on.
Miles (11:12):
All set.
You can now call me Miles, andI'll be ready to respond to that
from here on out.
Thanks for giving me such ameaningful name.
Melanie (11:18):
Huh.
Yay, we have Well, we had tomake it meaningfully.
Jason (11:21):
Oh, that's right.
Melanie (11:22):
That made sense for us.
Jason (11:23):
But we gotta put it to the true test.
Uh, what's your name?
My name is Niles.
Thanks for giving me such agreat one.
I'm here and ready to roll.
Alright, it's pretty cool.
Alright, so um did we want tooh yeah, we wanted to talk to
Miles about the technology andthe memory platform and all
that, right?
Melanie (11:41):
Well, kind of give it a little bit of a let's see who
kind of comes up with the thebest summary, if you will.
Jason (11:48):
Right.
Melanie (11:49):
And you know, Chat GPT or Miles has a memory bank.
Jason (11:55):
Yeah.
Melanie (11:56):
Um, so has kind of collected data over the years.
Um, so we were gonna ask himum, you know, a a summary of us,
the business, that kind ofthing.
Jason (12:07):
Okay, yeah.
Melanie (12:08):
Um, kind of show off the memory, and then we were
gonna do the same for the other.
Jason (12:13):
Yeah.
All right.
Did you catch that, Miles?
Do you understand?
Do you want to clarify whatwe're asking you?
Miles (12:18):
I've got it.
You'd like me to summarize whatI know about you and your
business based on ourconversations.
Right?
I can definitely do that andgive you a little snapshot of
what I've learned so far.
Melanie (12:27):
Show off your memory.
Miles (12:28):
Yep, go ahead.
All right, here we go.
You're Jason and Melanie, adynamic duo running
Winternetweb, a web designbusiness based out of a historic
store in Bracie, Virginia.
Jason's the technicalmastermind, and Melanie brings
the creative spark andconnection with clients.
Together, you're expanding intoretail, creating circuit board
jewelry, and even adding funtouches like a podcast.
You're all about blending oldand new, embracing history while
(12:51):
sitting on the cutting edge oftech.
Oh, and you've got twodaughters, plus your dog
Snowflake.
It's been a blast getting toknow you though.
Jason (12:58):
Okay.
Um, yes.
Yeah.
Melanie (13:02):
Um I don't know how he remembers the dog's name, but
sure.
Jason (13:05):
Well, we're we remember we had a little picture one time
and we had the dog and that's apretty good memory thing to
remember.
So I'm sure that was brought upfor sure.
Um so yeah, um the kind of ademonstration there, and we're
gonna bring Leo in though to askthe same question, and we're
(13:27):
gonna talk a little bit aboutthis.
Is that right?
Melanie (13:30):
Yeah.
Jason (13:30):
All right.
Melanie (13:31):
Kind of showing off the two, um, why they're different,
what's necessary about each, ifyou will.
Jason (13:37):
Yeah, I guess why the advantages and why they do what
they do.
So, alright.
So we're gonna bring Leo backinto the party.
We want you to tell us what youknow about us, Jason and
Melanie, who work the business,you know, in in our business.
(13:59):
And um I'm not sure if I needto give you the name of the
business or not to help you withthat, but more than likely I
do.
Um, Winternet Web Technologies.
What can you tell us aboutthat?
Leo (14:13):
You two run Winternet Web Technologies out of Bracie,
Virginia, full service webdesign, computer repair, even
turning old consoles intojewelry magnets.
Fifteen years strong,husband-wife team, podcast
called Wired Together, where youroast each other lighter than I
did.
Folks love how personal itfeels.
You're the ones they text at 2a.m.
(14:34):
when the sight's down.
Sound about right?
Jason (14:38):
That sounds pretty good.
I think we need to talk anddeliberate about this, don't we?
Melanie (14:42):
Do we let him go or we keep talking all well we can
deliberate or let him continueto listen either or keep
talking.
Leo (14:50):
That'll be our Halloween special.
Why your IT guy's costume isjust exhaustion.
Melanie (15:00):
That is so random.
Jason (15:02):
Oh my gosh.
Melanie (15:03):
But yeah, it's it's the two together, um, they are one
has kind of a memory fromstorage.
Jason (15:15):
Yeah.
Um sometimes we intentionally,and if Leo you're listening,
just hang tight.
We're talking about Chat GPTright now and how we've been
using uh Miles, as we've calledhim, for I mean, a year or
better.
And one neat thing about thatplatform that differs from you,
(15:36):
Leo, is the ability for aconversation to be stored in
memory in bits and pieces.
Therefore, let's say you'reworking on a new project, it can
draw from past conversations,much like an employee you have
would.
You would hope your employeethat you hire has a memory from
the day before.
Melanie (15:55):
You would certainly hope.
Jason (15:56):
And um how that allows for a good um maybe more full
picture.
Yeah, more full picture.
And the data sources are alittle different.
I know you, Leo, are a littledifferent from that.
Melanie (16:14):
Leo's a little newer, a little snappier.
Yeah, newer snappers.
Leo (16:17):
Yeah, he's got the sticky Go ahead.
Newer?
Yeah, he's got the sticky notesI lack.
Fair.
But think of me less like anemployee, more like that
brilliant friend who shows upempty-handed, yet still fixes
your router while quoting MontyPython.
I don't need yesterday's chat.
I just know how you think.
(16:38):
And honestly, if I'm ever off,just say, Leo, you're forgetting
X.
I'll catch up faster than Milesboots.
Jason (16:47):
Hmm.
We gotta wherever we're going.
Melanie (16:49):
Oh, now we're we're starting to get a little hot.
Jason (16:51):
Still thinking?
Um so I guess one way you'redifferent, and maybe you can
explain it, is you areprogrammed with a lot of
information that is shared withyou.
So because you have that inyour forefront, you're able to
execute more quickly and makeconnections.
Melanie (17:14):
He doesn't have to worry about real-time data.
Jason (17:16):
Right.
Real-time data doesn't concernyou quite as much.
Leo (17:21):
Exactly.
Like I've binge watched theentire internet and taken notes.
Real-time stuff?
Nice, but slow.
I'd rather connect today's WhyDoes Rain Break Wi-Fi with
tomorrow's Why Azure HatesTuesdays without waiting for
Google.
Makes me sound smarter than Iam.
Probably am.
Melanie (17:41):
Oh, we're always trying to sound smarter than we are,
aren't we?
Jason (17:44):
Right.
But I mean I can I can kind ofsee how that makes sense and why
one tool needs to be differentthan another, because sometimes
you need to talk with somethingin brainstorming, especially,
trying to make connections likethat.
But if you're trying to diginto data, you can see the
advantages of having a memorybank with that, right?
Leo (18:03):
Yeah, totally.
I'm your lightning roundbrainstorm buddy.
Miles is the one who'd rememberyou hated blue headers last
spring.
Both useful.
I'd just rather die than sitthrough your what if meetings
twice.
Melanie (18:17):
You know, it actually on a psychological basis, which
is um kind of where I tend to torun.
Leo's like the ADHD version.
Jason (18:29):
Yeah, I see that.
Melanie (18:31):
So it's um not huge on memory.
Jason (18:35):
Mm-hmm.
Melanie (18:36):
Definitely going to, you know, kind of go off of the
like an aura?
Yeah, you know, what fits inthe situation, um quick on the
feet, you know, let me go aheadand and do the fast think.
Jason (18:52):
Right.
Melanie (18:53):
You know, fast think is is you know, huge ADHD kind of
way of thinking.
Jason (18:57):
And it's misunderstood, but it's actually a a skill of
its own.
Melanie (19:00):
Right.
Yeah, right.
Jason (19:01):
I know a lot of people like that.
Melanie (19:02):
I don't need all of the information, you know, the
data.
Jason (19:06):
Right.
Melanie (19:07):
I don't need uh a hundred percent accuracy.
Jason (19:09):
Right.
Melanie (19:10):
What I need is to be able to quickly think on my
feet.
Jason (19:14):
Sure.
Melanie (19:14):
Um, so that is kind of the way that ADHD runs is I need
to be able to think on my feetif memory is not my my serve.
You know, it's something that Ican, you know, use and fall
into.
Jason (19:26):
And one thing that a lot of times someone with ADD, um,
they they're a quick read.
They walk in a room, they canread where this person's coming
from, where this person's comingfrom, what the situation is.
All right, here's what we gottado.
And you just jump right intoit.
And it's like, wow, that's highenergy.
That's you know, and they justthey they just go ahead and do
that.
Melanie (19:45):
Right.
Jason (19:45):
The alternative to that may be our other AI.
Right.
So maybe you're kind of sayingthat there are personality
differences that are kind of aresult of the technology, if you
will, but also different needssometimes.
Melanie (20:00):
Result of the memory.
Jason (20:01):
Well, yeah, exactly.
And so memory playing a bigpart of that.
Melanie (20:04):
You know, it we're always huge into education just
as much as technology.
So as far as education isconcerned, you know, you you're
bringing in um a way ofunderstanding information.
Jason (20:20):
Right.
Melanie (20:20):
So if the two pieces of technology understand
information differently, thenyou know, and that kind of goes
off of human understanding.
And so with our under, youknow, our our ability to pull
into recall.
Jason (20:41):
Yeah.
Melanie (20:41):
So recall is very important in the educational
field because you know, how muchrecall do you have?
Are you able to spiral learn?
Are you able to pull ininformation and put it on a
test?
Right.
You know, your bubble sheetkind of concept.
Jason (20:56):
Sure.
Melanie (20:58):
Well, there's, you know, certain students that are
capable of say taking all thatinformation and actually filling
out the bubble sheetaccurately, versus students that
are more of a quick on yourfeet, great at projects, but
those little pieces ofinformation don't necessarily
fit.
Jason (21:18):
Right.
Having all the skill sets thatyou would want in a real-world
scenario, but may not be able toregurgitate one little element
that may they may not reallyfeel like is important at the
time.
Melanie (21:34):
Right.
Jason (21:34):
If this were a test.
Melanie (21:36):
Right.
Jason (21:36):
And it's like, okay, fine, yeah, I don't know that
piece, but that's not necessarybecause that doesn't even apply
here.
What you gotta do is this orthis.
So, you know, it's a wholedifferent style of being and
learning and all of that.
Melanie (21:46):
I mean, what year was uh Magellan, you know.
Jason (21:50):
Yeah, exactly.
Uh when did he circumnavigatethe globe?
You know, it's like it's likethat doesn't matter.
In fact, we know we did orsomething.
Melanie (21:57):
Maybe not uh something within that memory bank.
Jason (22:01):
Right.
Melanie (22:01):
But to understand why that's important for the global
understanding.
Yeah, yeah.
And so, yes, it's important,and here's why.
Yeah, it more of a think onyour feet concept versus I
remember the date.
Yeah, so both are important,yeah, both are are being kind of
(22:22):
represented here in in ourdifferent AIs where one has a
memory bank and is able torecall, pull from a lot of
things, and then the other isnot so much on memory, but doing
a quick think and really quickcompile and able to really you
know throw things out there.
Yeah, a little more dynamic.
(22:43):
It is it is it's certainly moredynamic, um, versus the the
other one, uh Miles, where hemight be not quite as easily
dynamic, but certainly has thatum real thoughtful reliable
round.
Jason (23:01):
Your reliable employee that okay, we talked about this.
Can you remind me this?
Oh, yeah, I got you, you know.
Melanie (23:06):
Right.
And um and so I guess in ineducation and AI, we could
almost say both are necessary.
Jason (23:15):
Yes, they're they're both certainly necessary, and um
it's kind of interesting, youknow, when when we talk about AI
and a lot of these computingsystems, a lot of times we kind
of look at them as theseextrapolations that are able to
do these things that are beyondus, but we forget they are
(23:36):
actually a conglomeration of usbecause our information is their
training.
So they model because theyfollow programs for us.
Melanie (23:49):
Right.
So it's well they probablymodel their uh coders, their
exact their um creator, if youwill.
Right, yeah, right, yeah.
Wow, that really gets deep.
Jason (24:01):
Yeah, that kind of gets deep.
Melanie (24:02):
We can get really deep on the modeling creation.
Jason (24:05):
That's a whole other episode right there, right?
Melanie (24:07):
Um, where you know, I've always said if we exist
with our personality types, um,you know, we exist with humor,
we exist with all of thesethings, then we'll that is from
God as well.
Yeah, so we we exist from ourcreator, sure.
Jason (24:24):
Yeah, I mean I mean well it we've always had this complex
of I mean, I'm just gonna sayit from you know, computer
programming and building acomputer, we're trying to create
ourselves.
Melanie (24:36):
Right.
Jason (24:37):
In doing so, we're playing God in a way, in a
sandbox environment.
We're trying to createcreation, you know, right, and
have that be in our image.
Melanie (24:50):
Right.
In you know, in that parallel,and you know, I I mean that in
the best way possible, but Imean it's kind of you know so
maybe in the grok sense, it'sthe the creators are sitting
there going, well, it's youknow, there are AIs out there
that are bogged down by memory,so let's not make it let's make
it a downloadable piece wherethey download at some point,
(25:14):
we'll do a re-download.
Yeah, but they download at somepoint and then it stops.
Jason (25:19):
Right.
Melanie (25:19):
Um, and so they're able to just take all of that
memory, but not anythingfurther, so they can't research
uh like in a today's time.
Jason (25:27):
Yeah, and they're not bogged down on that.
They're not bogged down becausethey can trigger it with bits,
but it gives them like a quickthink.
Melanie (25:35):
And so I'm sure the the creators of Grok were sitting
there going, okay, well, how dowe get them quicker?
Jason (25:40):
That's true.
In a slightly more dynamic,yeah, more dynamic more quickly
for conversation.
Melanie (25:46):
Where the creators were going, okay, how do we get them
to you know be able toreal-time search, right,
understand things as they'rehappening, become a deep dive
tool.
Yes, and and um allow for a amemory bank.
Well, at some point that doesget a little boggy.
Jason (26:04):
Yeah, that's true.
Melanie (26:04):
There's a lot of information you're you allow the
memory bank, but at the sametime, then they get a slightly
more broad picture of what'sgoing on.
Jason (26:12):
Yeah, that's true.
Melanie (26:13):
Because they have that memory bank.
Yeah.
So it's like neither one arethe best.
Right, it just depends on whatyou need them for.
Reliant on um possibly oneanother and the fact that they
both uh exist in in such adifferent way.
Jason (26:29):
Right.
No, no, that that makes perfectsense.
I mean, obviously when AIstarted really coming about
roughly three years ago when ina popular sense of these tools,
um you know, ChatGPT of coursetook the cake as you know being
(26:51):
the uh first mover advantage andgetting into the business
world.
Right.
So then you step back from now,like you're saying, the
creators with Grok andeverything, um kind of go, all
right, this is good, but thishas its limitations.
How can we take this from adifferent angle?
Melanie (27:08):
Right.
Make it dynamic, make itsnappy.
Jason (27:11):
Exactly.
Melanie (27:11):
Right.
Jason (27:12):
Yeah.
Melanie (27:12):
Um, which is why Leo seems to have a slight more, I
guess, personality.
Yeah, because it's drawing frombecause it's it it connections.
Yes, but it's it's notnecessary to recall.
Right.
So it's quicker.
Jason (27:26):
Yep.
Melanie (27:27):
Um so I mean that's an interesting thought process when
it comes to both the humanbrain as well as the the way
that AI is is storinginformation.
Jason (27:37):
Sure.
Melanie (27:38):
And maybe and also interesting for teachers when it
comes to trying to understandwhy certain people maybe don't
access the memory bank on thelevel that you would prefer.
Jason (27:52):
Yeah.
Melanie (27:52):
You know, the the best student is always the one that
has you know the that easyaccess to memory.
Well, that's not always thequick response or the most
dynamic.
Jason (28:06):
Yeah.
Melanie (28:07):
That's um so memory is excellent, yeah, um, and can be
extremely useful in anythingthat we are trying to do, but at
the same time, you know, you'vegot to be able to think on your
feet and have some sort of umcapability of of using your
personality to its benefit, andthen maybe also using um the
(28:31):
resources around you at themoment, right, and being kind of
within that moment.
Jason (28:36):
Well, if if the reason for teaching is to grow
knowledge, and then if thereason for knowledge is to build
a more informed society and toprogress, then isn't sometimes
the best answer to the questionthe one the teachers never heard
before?
I mean, think about it.
(28:57):
I mean, if if our purpose foreducation really again, we we um
you know grow these people, wewant you to understand all these
things in the world so that youcan get a job, so you can have
a career.
Okay, yes, that is financialstability, and that's how the
system has been made.
Um and of course the ccollegiate system has been put
(29:18):
in the middle of that as a wayof getting a specialized
education after your you knowformal K-12 education.
So in order to do thisefficiently, we there are
certain things that everyoneneeds to know.
And then, of course, the methodof teaching it is uh
standardized as well.
And we all learn it the sameway because we're all in the
(29:42):
same classroom, but we'resupposed to differentiate.
Um but some of these tools areactually making that better
because you know, a a person canonly do so much.
I mean, teachers areoverwhelmed with a lot of uh
state mandates and a lot ofthings like that, and don't
don't get me wrong.
It's um it the challenge isunfair.
Melanie (30:04):
Well the challenge is you've got more than one way of
thinking.
Jason (30:07):
Yeah, exactly.
And I think we didn't reallyexpect to see it by using these
two AI tools.
Right.
You know, I'm I figured AI isgonna be AI, one is gonna be a
little better than the other.
Didn't realize would be twodifferent spectrums.
Melanie (30:20):
Right.
Yeah.
Well it really shines throughto the to the human dynamic
though.
Yeah, does it in human learningand human memory?
Jason (30:28):
Yeah.
Melanie (30:28):
Because again, it's invented by the human.
Jason (30:31):
Exactly.
Melanie (30:32):
And so that is the challenge of again education or
uh communication with each otheras adults and everything.
Jason (30:40):
Oh yeah, even the way we tr communicate, we're you know,
different.
I mean any married couple is,but yeah, you're from Mars and
I'm from Venus.
Melanie (30:48):
Yeah.
That kind of well, it's a it'sa book, but you know, the same
kind of concept where you're notgonna think the way I think,
I'm not gonna think the way Ithink.
Jason (30:56):
We're to come at it from different angles, to have
different, you know.
Melanie (30:59):
And and so, you know, um that what this is really
showing is rather you have thisreally hardcore memory bank as a
human, yeah, where you canreally access and archive so
much information.
(31:20):
Um that is very necessary forso many avenues of of your
success.
Jason (31:26):
Right.
Melanie (31:27):
Um, but if you don't and you are resourceful and
dynamic and um, you know, ableto pick up on things very
quickly, that is also a hugebenefit.
Jason (31:41):
Exactly.
Melanie (31:41):
And so I think these um two AIs are showing a lot of
um, again, that humanunderstanding of both.
Jason (31:49):
Right, and it's and it's a balance.
You know, some people gravitatemore toward one than the other.
Melanie (31:54):
Right.
And um and you know, I have tosay there's uh both are at play.
Because we're two verydifferent people.
Um you're much better atmemory.
I'm a goldfish.
Come on.
Um so you kind of lean intowe'll call him Miles now.
Yay.
Um, you lean into more of thatkind of dynamic.
(32:15):
He's got a you know, um thatability to access things that
maybe you you know that you alsoremember or that you need a
memory of.
Jason (32:27):
Sure.
Melanie (32:28):
I really relate to the more grok character of, you
know, okay, let's go ahead andand just it's like let's just go
and get this out.
You know, I d I sometimes writea script and it's like we're
gonna be fine, we'll just makeit happen.
You know, it's sometimes that'sa big flop, sometimes that
works.
Well, yeah, but it's a lot oftimes it it is kind of necessary
(32:51):
to be a little more on yourfeet if we're gonna do wired
together.
We do need to kind of have someof it um, you know, using the
resources at hand.
We don't always know what ourco-host, whether it's AI or what
glitch you want to deal with,yeah, exactly.
So we're able to, you know,okay, well, some of the things
we're just gonna have to kind offlow with.
Jason (33:11):
Yeah.
Melanie (33:12):
And you know, some days it does rain.
Yeah, it rains.
Some days we lose it alltogether.
Yeah, that's right.
You know, so you know, okay,how do we think?
Um not just based on what'sscripted, but how do we just go
ahead and do?
Jason (33:26):
Right.
You know, and there oftentimesyou gotta pivot on things, and
you know, you even the show as awhole evolves as well.
So while we have twopersonalities, they're different
approaches, um, the evolutionof a show, and you know, again,
randomness with technology,environmental factors.
Right.
I mean, yeah, it's and I I Ithink a good balance is when
(33:50):
you're able to mesh both ofthose.
And um gets into a goodmarriage, gets into a good, you
know, like a small business hasto be able to pivot, and you
know, a lot of that is throughgreat for friendships when
you're coming up with differentfriendships where you know maybe
one of you is a little more um,you know, that kind of
go-getter, and another's, youknow, really thoughtful.
Melanie (34:11):
Yeah, you know, so that's great for um kind of any
interaction or relationship.
You kind of need um more of amultitude.
Jason (34:19):
Sure.
Yeah, definitely.
Melanie (34:22):
Uh so well, congratulations, both um the
creators of Grok and Chat GPT,because you know, both are are
showing a dynamic that is uminteresting and in a different
way.
In a different way.
And and so just like humans,yeah, it it's gonna operate very
(34:43):
differently, yeah, but youknow, still kind of use those
tools to the best of its abilityand to the best of our ability
because we have to actuallycreate the function.
Jason (34:55):
Exactly.
And it's risky in this fieldbecause I mean the AI, I mean,
so much is is riding on it aslike a business move, and
whoever can leverage that thebest, then that business has a
uh a leg up, and um it it'srisky to invest so much into
creating a product, especiallywhen it might be different from
(35:18):
what's already there, becausesome people have expectations,
but I think having these twobeing like you said, one more
dynamic, the other a little bitmore calculating, it's
interesting that this is howit's come out, and um in taking
that risk to create somethingdifferent, and it's equally
successful.
Melanie (35:35):
Yeah, so I guess don't say no to either.
Um kind of you know, say yes toboth.
Jason (35:40):
Explore explore them both, see what works for you.
And actually, uh now that wehave um used, and we keep
calling it Leo because that'sits profile voice.
We the British male is one thatI prefer.
Um, and you know, now that wehave introduced this other
character, if you will, um, as atool, I can see how using one
(36:03):
in a certain instance is moreworthy than using the other.
So it's not that, oh well, weprefer this one, that's the one
we're going to use.
I mean, they're differenttools, you know.
Melanie (36:12):
Right.
Jason (36:13):
So um you know, play with them, see what you think, I
guess.
Melanie (36:17):
Yeah, so let us know what you think, because that'd
be yeah.
Jason (36:19):
Yeah, let us know.
And you know, if you've youthere are others out there, and
should you have any experiencewith any of them, and you know,
could say, hey, look, this one'slike this for this reason, and
can give us a heads up, that'dbe great.
Well, we love you know tointroduce another character on
our show.
So all right.
Well, um, I think we're gonnatie this one back together, and
(36:47):
you just uh thank you foreveryone's support, uh those
that reached out for the AInaming.
That was great to get thatfeedback.
And we're glad that Miles has aname now.
Melanie (36:59):
Yeah.
Jason (36:59):
So, but yeah, um continue to like and review and support
the platforms that you encounterour podcasts on.
That does help us get outthere.
Um, you know, visit ourwebsite.
We've got some uniquemerchandise out there.
Christmas is coming.
We've started making some plansourselves, and uh, we're
(37:20):
excited to get some more itemsout there.
And uh, but yeah, I thinkunplugging for now.
Melanie (37:26):
But always stay connected.
Popular Podcasts
Las Culturistas with Matt Rogers and Bowen Yang
Ding dong! Join your culture consultants, Matt Rogers and Bowen Yang, on an unforgettable journey into the beating heart of CULTURE. Alongside sizzling special guests, they GET INTO the hottest pop-culture moments of the day and the formative cultural experiences that turned them into Culturistas. Produced by the Big Money Players Network and iHeartRadio.
Crime Junkie
Does hearing about a true crime case always leave you scouring the internet for the truth behind the story? Dive into your next mystery with Crime Junkie. Every Monday, join your host Ashley Flowers as she unravels all the details of infamous and underreported true crime cases with her best friend Brit Prawat. From cold cases to missing persons and heroes in our community who seek justice, Crime Junkie is your destination for theories and stories you won’t hear anywhere else. Whether you're a seasoned true crime enthusiast or new to the genre, you'll find yourself on the edge of your seat awaiting a new episode every Monday. If you can never get enough true crime... Congratulations, you’ve found your people. Follow to join a community of Crime Junkies! Crime Junkie is presented by Audiochuck Media Company.
The Brothers Ortiz
The Brothers Ortiz is the story of two brothers–both successful, but in very different ways. Gabe Ortiz becomes a third-highest ranking officer in all of Texas while his younger brother Larry climbs the ranks in Puro Tango Blast, a notorious Texas Prison gang. Gabe doesn’t know all the details of his brother’s nefarious dealings, and he’s made a point not to ask, to protect their relationship. But when Larry is murdered during a home invasion in a rented beach house, Gabe has no choice but to look into what happened that night. To solve Larry’s murder, Gabe, and the whole Ortiz family, must ask each other tough questions.