November 20, 2023 • 52 mins
Imagine a future where AI streamlines your workflow, cuts down your work hours, and even makes your meetings more efficient. Bold as it may sound, that future is closer than you think, thanks to Microsoft's Copilot. On today's episode, we dive into the cutting-edge world of Copilot, its integration with the Microsoft suite, and the anticipated launch of Copilot Studio, a premium version aimed at revolutionizing business operations.
Struggling to make sense of a large dataset? Wish you could generate podcast content with a click? Let us introduce you to the concept of Generative Pretrained Transformers (GPTs). We discuss how custom GPTs, developed through Microsoft Copilot, can transform data analysis, decision-making, and even content creation. Also, keep an ear out for some exciting insights on the integration of Chat GPT and Copilot Studio and what it holds for the future.
As we explore these AI-driven advancements, we also ponder on the implications for the workforce and the resistance AI technology might potentially face. However, the promise of shorter work weeks and more efficient workdays through effective AI utilization is truly remarkable. Lastly, we touch upon the application of AI chatbots and GPTs in providing informed decisions and the possible benefits of integrating Microsoft Copilot into websites and services. Join us on this journey into the future of AI in the workplace and stay tuned for some thought-provoking discussions and announcements.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
We got a really interesting discussion to talk
about tonight.
Right, we do, we do soMicrosoft.
We've talked about there.
We've talked a lot about themactually for the past couple of
months, you know because andthere's there's a number of
(00:20):
reasons to do that, you know, Imean, but one of the things that
we talked about with them istheir integration with open AI
right and how their investmenthas helped grow chat GPT.
Now, a couple of weeks ago orreally it was last week, wasn't
(00:40):
it that we talked about theirconcerns with AI getting going
crazy within their internal worksphere and they shut down chat
GPT, but it ended up not being achat GPT issue by any means.
But, yes, they've talked abouta number of things with AI
integration, including making itMicrosoft Copilot right now.
(01:04):
Right, which?
Remind people, if you could,what are the main services that
that offers right now?
If you have a Windows 11, yeah,if you have Windows 11,
download, what do you haveavailable to you?
Speaker 2 (01:20):
Yeah.
So, and I guess one thing tonote too is that Copilot is also
now just the rebranding of whatbeing AI was right or or or, or
being chat or whatever.
Microsoft has kind of rebrandedall of that and moved it into
(01:41):
Copilot.
So that way it's nice, one nicecohesive deal.
But essentially Copilot,especially with Windows 11, is
supposed to be integrated intothe search, so then you can get
suggestions from there and thenyou can also just directly
access the AI, the Copilot AI,and you're able to kind of, you
(02:04):
know, do a lot of the samethings that you could do with
any of the other AI chat bots,like Bard and chat, gpt and
stuff.
Um, they've also started theprocess of trying to integrate
Copilot into all of theMicrosoft suite.
So, for instance, of course, ifyou're going to say you need
(02:26):
help writing an essay orsomething like that, it can help
you generate ideas and be ableto help you kind of help
structure maybe your essay orsomething similar to that.
Same thing with PowerPoint Excelyou can use it for really just
checking out the data or beingable to, like create
(02:47):
observations off of that dataand then maybe even help you
format that data in a way thatit looks a little bit more
visually pleasing.
It takes away some of the tasks, some of those tasks for you,
and then, of course, going intothe other places and stuff, and
Microsoft recently announced theintegration into Teams as well,
(03:11):
so that'll be really a reallybig one as well.
As in for Outlook is anotherthing that they're trying to
help with, like, especiallybecause in Outlook they're
getting, they want to make it towhere you'll be able to use the
Copilot AI to help you create,say, emails that you're trying
(03:34):
to email someone about, and evensummarizing emails for people,
or that your coworkers send you,and stuff like that.
So, yeah, copilot is somethingthat Microsoft is really jumping
into to try to make a reallycohesive experience, ai driven
(03:56):
experience that they're tryingto go for.
Speaker 1 (03:58):
Sure, I think the email integration is interesting
.
Just from a professional review, I think the people that would
use that already write goodemails themselves, and then the
other people that need it aremore of the mindset of oh, I'm
(04:19):
not down working with AI, sweepin generalization, but just what
I've experienced and witnessedas well.
But, with that said, it is agreat option and, I think, very
effective as well.
With the Teams integration thatwe've talked about, if I
(04:39):
remember right, it would helpwith things like if you're on a
Teams meeting, it would takenotes for you and transcribe the
whole thing, but then use thattranscription to make the notes
that you need to have and youneed to see for your job.
And one of the other big thingswith Outlook and Microsoft
(05:01):
Copilot that excites me is thatit would go through your email
and say this is what is duetoday, this is what it's due
tomorrow, and it helps make yourplans and just helps you stay
on top of your job because ofthat.
Speaker 2 (05:17):
Yep exactly.
Speaker 1 (05:18):
Yeah, I think those two things are the biggest, most
tangible and beneficial,because you have a lot of people
and not really to make thisabout the focus of this episode
but you have a lot of peoplethat are against using AI like
this.
Right, they think it's verysimple and just unstructured,
(05:42):
unnecessary.
For example, I actually saw aFacebook post just the other day
of someone who turned a songinto something negative and just
shared it.
To be like this is how crazyand unnecessary this technology
is, and I was like it's a verylight level and unnecessary way
(06:05):
to use this tech, right?
Yep, there's so many greaterthings.
But for it to be moreintegrated and simple, but
integrated enough to where?
Hey, you know what I'm usingthis to not just get everything
I need out of this 30-minutegroup teams meeting, if you will
, or to sift through the 28emails I got overnight to know
(06:28):
what we're doing today and whatI need to do.
It's very effective stuff.
I think it's very good.
Mm-hmm, yeah, so what we'retalking about today is not just
that.
We're talking about theadvancement and next level of
that that will be coming earlynext year, right?
(06:49):
Mm-hmm?
Yeah, it is Microsoft Co-PilotStudio.
It is not included, it is notfree, it will be $30 a month.
Speaker 2 (06:59):
Yep.
Speaker 1 (07:01):
And again, not terrible.
But when you add all of thesethings together, which I wonder
and we can talk about this toowould it include a version of
ChatGPT, if you paid that?
Speaker 2 (07:13):
I mean, I mean, co-pilot is going off of the
ChatGPT for language model.
So technically, yes, okay, butit's not.
It's if you pay for Co-Pilot,right, you are not going to get
(07:34):
access to OpenAI's ChatGPT likespecific ChatGPT thing.
Yes, it would be, of course,microsoft's tailored version of
the ChatGPT language model, likeversion 4 or whatever, yeah, of
the language module model.
Speaker 1 (07:50):
Which.
This is an interestingdiscussion that Dennis and I
have had, more so behind thescenes, but it's also been based
on stuff of me doing researchto see how we can grow our
platform, and AI services areincluded in that.
It's interesting because and Ido think this is a separate
(08:11):
discussion we can have furtherat another time you hear a lot
of people talk about oh,americans pay so much because
they spend so much on theplatform, much because they
spend, or for monthlysubscriptions, because they
spend money on Netflix andDisney Plus and all that kind of
stuff, right, right, right.
Well, you can quickly rack upthat level of subscription with
(08:39):
AI services.
You know what I mean.
And I do wonder again, before wedive fuller into this topic, to
let you guys know what thisnext level of Co-Pilot would be,
what all of the services are.
It's going to be interesting.
We think you're going to loveit, but I do want to know.
(09:00):
It seems like a lot of thisstuff is overpriced, man, and
wondering if it will come downin price.
You know what I mean.
Speaker 2 (09:08):
Yeah, yeah, I mean, that's a great question.
I think the language modelsthat we have currently, yes,
will come down in price, but Idon't think that.
Speaker 1 (09:27):
New or premium services would come down,
because the thing about it ischat GPT 20 bucks a month, what
we're talking about here, withthe Co-Pilot Plus, right.
Speaker 2 (09:41):
It's the Co-Pilot.
It's M365 Co-Pilot, if I'm notmistaken.
It's the way that they'remarketing it.
Speaker 1 (09:50):
Yeah, 30 bucks.
We've researched this as well.
Ai services available in thehosting service that we use for
the podcast 20 bucks a month.
Special stuff on Linktree wherewe link everything that you
want to listen to, watch tothose AI services I think were
(10:13):
$18 a month.
And it's not even just a guyWith that.
It integrates normal workingstuff as well.
But still that racks up quickand that is the best with the
podcast.
If you look at other peoplethat are trying to grow, as say,
(10:33):
an influencer on social mediaor even just grow their small
business in any way, man thatcan rack up quick for a lot of
money coming out.
Speaker 2 (10:43):
Yeah, it can, and that's kind of where some
consumers have to be a littlebit more picky and a little bit
more scared than what they couldbe.
But I mean, the thing is alsolike these, these generative AI
models are relatively versatile,so you can use them in so many
(11:10):
different manners than what youcould do with, you know, your
regular, like Netflixsubscription or something
similar to that.
Speaker 1 (11:18):
Oh, I doubt.
Yeah, yeah, yeah, for sure.
No, it's very much beneficial.
I'm on board.
You're also talking to a guywho pays for Amazon Prime but
splits that with his family andthen you gets to stream through
that.
I do pay for Disney Plus, I payfor YouTube TV, but I've split
(11:41):
that with multiple people too,so it's a lot more manageable
based on how I approach it.
But but yeah, you know, a lotof other people have Netflix and
they have these other ones thatI don't use, like Hulu, for
example, right, those kind ofthings and that stuff, and
you're not able to split withother people necessarily, and
(12:03):
that price racks up quick.
Speaker 2 (12:05):
Yeah, yeah, that's true.
I mean, I know, I know myfamily, we, we kind of pick and
choose the services that we use,the streaming services that we
use, and then you know and whopays what, and then that way we
can all share the account.
It's just yeah, we can allshare the account.
(12:32):
It's just you know who pays for.
It is a little different.
We kind of try to trade off.
Speaker 1 (12:38):
Oh sure, sure, Sure, I definitely get that.
You know one.
This is a side story and we'lljump in the topic here.
So I did a trial for YouTubepremium.
You'll be really happy because,hey, look at you.
And since been promoting thatfor a while, I have, and I'm a
(12:59):
fan of it.
Speaker 2 (12:59):
If you don't like ads .
Speaker 1 (13:02):
I know.
Speaker 2 (13:02):
It's a way to go.
You'll never notice how many atyou to how many ads that
YouTube has, until you pay for.
Speaker 1 (13:10):
Right, you know it's kind of weird.
So I've listened to a couple ofVodcasts, if you will, and it's
weird because Me having to gothrough it and then I listened
for six minutes and then there'san ad and I'm like, okay, skip
that, I can get back to it now.
It made me more integrated in aweird way, rather than just
(13:34):
listening to it straight throughwith no ads trying to strike me
.
It's very weird.
That is yeah, um, but with thatsaid, I was getting very tired
because YouTube has picked upthe amount of ads they were
putting in there and the amountof them that you can't skip.
It was getting so annoying.
So, anyway, I did trial on itand what's interesting about how
(13:59):
they did it?
It was X price, right, but ifyou go to set it up on your
iPhone, it would charge you anadditional $6 more a month If
you did through your iPhone.
Yes, oh, I know why.
Why?
Speaker 2 (14:19):
Uh, it's the Apple tax.
It's because your Apple takes acertain percentage off of the
subscription if it's donedirectly in the um, if it's done
directly in the store.
Speaker 1 (14:36):
It's just so dumb man , you know.
And it's not the only thingthey do it on either as
exorbitant.
If you go into um, like if Iwere to try and boost a post
that we made on our podcastTiktok page, it would charge me
(14:57):
the ad amount and then anotherlike three and a half dollars
just because I did it throughApple.
But if I did on desktop itwouldn't do that I like.
It's so dumb, you know.
Speaker 2 (15:12):
It's because it's an app You're doing it through the
app that all app transactionshave to go through the Apple
store or the app store.
Yeah, and so when thosetransactions are going through,
apple's taken their little cutand boom.
Speaker 1 (15:34):
Yes, absolutely.
Now, it's just weird.
I don't know, I'm not.
It's not a little cut, that'sthe thing.
You know what I mean.
It's not a 99 cent fee or abuck 99 fee, it's it's simpler,
it's expensive.
Yeah yeah.
It's just not something I'm afan of and, thankfully, have
(15:56):
found ways to work around.
I hope you guys do too.
But look, we're already flyingthrough this episode.
Speaker 2 (16:02):
I say we just roll into the topic, man you know
what I'm saying yeah, let's doit, man, let's do it.
Speaker 1 (16:06):
Let's get into it.
Yeah, so I'm seeing here yeah,microsoft Copilot Studio is one.
Speaker 2 (16:13):
I'm seeing the title of this yes, yes, exactly, it's
a it's Copilot Studio.
Speaker 1 (16:20):
Okay.
Speaker 2 (16:21):
That is correct.
Speaker 1 (16:22):
So let's talk about the features that you'll get
that aren't included already inCopilot, right yeah.
Yeah Of course, one thing itsays here is low code
customization tool.
It allows users to customizeCopilot from Microsoft 365,
(16:45):
which is your whole office suiteyou would have and build
standalone Copilates combiningcustom GPTs, generative AI
plugins and manual topics.
So, to expound upon that, whatdoes that mean?
What does that look like?
Because it's exciting.
It sounds like you'd be able tocreate a chat GPT, but it would
(17:08):
, or, I'm sorry, some form ofthat that would directly benefit
you.
Speaker 2 (17:13):
Yeah, no, I mean, that's essentially it.
Right, you're creating onebased off of your dataset, right
?
It's similar to Google wasannounced this a while back
where they essentially wouldcreate a, say, you had a note, a
note tab, right, you have allyour notes in there, and then
(17:35):
they would integrate one oftheir.
They would integrateessentially like Bard, I think
at the time is when they wereannouncing it into that dataset,
right, your notes, and then youcould search and ask it
anything about all of that.
It's essentially what theseGPTs are doing in Copilot is
(17:59):
creating.
So if you have a data set of X,y and Z, you can now that is
this GPT's training data and soit's getting to learn, it's
pulling in all this informationand now you can just chat with
it and say, hey, going off ofthese trends, we'll use, like
(18:23):
some, like, if it's a data datafor like how much money the
business is making over like afive year span or whatever, like
that, you now have a GPT thatyou created off of, based off of
that data, and you can deployit to.
(18:43):
Then you can say, you can askand say, hey, what do I get?
Or you know, what is yourprediction in the next five
years, based off of the data setthat we have or whatever like
that, and it'll go through andsay like, oh yeah, well, based
off of this, we've got this,this and this.
(19:04):
These are the trends that wouldmost likely do this and this
and this, and you should moveyour business and this and this
and this, because it has all ofthat new data set right, and so
it can just regurgitate all thatinformation.
It takes away a lot of that.
If you use JAPE, chat, gpt a lot, or even co pilot in general,
(19:26):
there's a lot of times where youhave to just inject a lot of
data into it Before it figuresthat out where this is.
You can build it directly intothat data set and it figures all
of that stuff for you.
There's no, it takes away, it'sless manual process, right, and
you get to create a ton ofthese that are all specific.
(19:49):
You could probably even do itoff of, like email chains or
something similar to that.
Speaker 1 (19:54):
Okay, okay, so.
So let's use, um, yeah, whichwe expound upon that email stuff
that we were talking about,right, but let's use the podcast
as an example, right?
So let's say, for example, thatI had this on this laptop,
right?
Right, it creates a custom GPTthat each week, would stay up to
(20:20):
date with, let's say, ai orrelated type of topics, and then
would give us, each week, thosetopics to choose from and then
write the title and the episodedescription for us.
Is that that the type of thing,or an example of something that
(20:42):
people would use thistechnology for for their own,
you know, geared toward them,obviously?
Speaker 2 (20:48):
So I'll say this currently in in um, co-pilot
studios uh, current iterationit's more for corporations,
right?
So this would be moreenterprise, I think.
Even if you wanted to try toget access to co-pilot uh studio
current, currently in itscurrent form you um have to have
(21:12):
a work account, right, a workMicrosoft account.
So, essentially, this is mainlygoing to be for your, for your,
um, for your, for your workstuff, right, more enterprise
version of it.
Now, that being said, openailaunched something called a
(21:34):
GPT's, which is essentially thesame concept as co-pilot studio,
but it's more customer facing,and so, in that scenario, yes,
you could create a GPT that'sbased on that data set and it
will do all of the things thatyou want it to do, or at least
(21:58):
it'll.
You can ask it to do all thosethings, because now it has that
information to do that.
You can say, hey, it's the nexttime for us to do another
episode and this is what we wantto talk about.
What should you know?
What's?
Generate something to do,generate what we should talk
about, and um, you know bulletpoints on how we should do it,
(22:20):
or whatever like okay, cool.
Speaker 1 (22:22):
Yeah, that's crazy.
Speaker 2 (22:24):
Yeah, Okay.
So that is what the cool powerof this um is and what why it's
so impressive, right, Especially, you know, of course, as I said
before, a lot of this is kindof piggybacking off of what
OpenAI is already doing.
(22:45):
Especially since Microsoft hasa sizable investment into them,
it makes a lot of sense thatthey're going to be able to
utilize a lot of their stuffautomatically into their, into
Microsoft's own stuff.
But, um, but yeah, that's,that's kind of one of the
biggest things that this affordspeople in, affords enterprises.
(23:09):
Um, you know, I think right nowMicrosoft is going to focus on
the enterprise side, but Iwouldn't be surprised that this
moves over to the consumer sidesoon.
Speaker 1 (23:20):
Sure, so definitely more business related stuff,
right, correct, gotcha?
Okay, so let's take a look herethen.
Um, yeah, about more of thiskind of stuff, so I'll go
through these again.
These advanced features Um well, yeah, we'll come to that in
(23:40):
just a second, but, um, some ofthe benefits and applications
that were mentioned about thisuh improves your efficiency,
aids in making informeddecisions work related, of
course, and all that kind ofstuff.
Again, I think it kind of tiesback to something I was
mentioning as well, but justbeing able to sift through a
large amount of details, whetherit's in a team's meeting or you
(24:04):
know, maybe you work at a placewhere you get dozens of emails
every couple of hours, right andto be able to sift through that
information and help you makeinformed decisions that you need
based off of.
Well, you know, two weeks agoyou did this and here's where
we're at now and you're beingasked for this blah blah blah.
(24:24):
Um, let's see personalizedexperiences.
Like we've mentioned,streamlined workflows and
automating tasks, um, so rolespecific customization, uh, can
be tailored for specificorganizational roles like IT
support or sales teams withcapabilities like collaborative
(24:47):
commenting and graphicalmulti-authoring.
Um, what would that look likefor you, in your opinion?
I guess is what I'm trying tosay If it were um like IT
support, for example?
Um, yeah, what would thosespecific organizational roles be
(25:10):
able to like?
How would this benefit that?
I think that's a um yeah, sorry, go ahead.
It sounds like that's kind ofan open-ended answer, really.
Speaker 2 (25:22):
Yeah, I mean for the most part.
I mean, uh, like I can see this, I can see this, um, as
something that you could use forservice desk stuff, right, um,
how this could help forefficiency is, say, you inject
or you create a co-pilot basedoff of the data of the tickets
(25:46):
that you get, right, the, andyou can ask it and say okay,
based off of the tickets that wehave, what is the most common
ticket that we have?
Or whatever like that.
And how long does it take forthis issue to get resolved?
So, like, what's the mostcommon issue and how long does
it take to resolve?
(26:06):
And it'll just turn that out.
And then you can ask it okay,so what are some things for us
to make this more efficient?
And at that point, right, itcan just say, okay, well, we
could do this, this and this.
And then you could probablyeven make it go even further by
creating another co-pilot botthat is also tied to the
(26:28):
ticketing system.
But you can now use that as afirst level of defense when it
comes to customers, to thecustomer facing right.
So, instead of being able tochat to a person, they can chat
to a chat bot and say, like, hey, bloop, here's an article or
(26:50):
here is a fix that was used inticket X, y and Z that had this
type of resolution Use this tofix your issue, or whatever like
that.
So you know, there's a lot thatcan be done there.
You could also use it in moreof an asset management capacity
(27:13):
when it comes to IT, saying, hey, we've got this many units,
what is our burn rate?
That you're that we're seeingin, you know, this skew of
products or whatever like thatlike how fast does it go out?
Are we getting these assetsback?
All that good stuff, so I cansee.
(27:33):
I can see it helping workflows.
I think it's just.
I think it's the willingness ofpeople giving it access to that
data.
Speaker 1 (27:45):
Yeah, which I don't know.
Maybe that's something you canexpound upon too, because I do
want your opinion.
But what really are the waysthat say an average person, say
maybe even a less tech-orientedperson, right, Like somebody who
doesn't have a backgroundknowledge of AI like I do, who's
(28:08):
in marketing, for example?
Or it doesn't even have to bethat specific, but just
something at that level whatwould?
How would co-pilot studiobenefit, kind of the average
computer worker, if you will,Because I and we were touching
(28:29):
this a little bit by, just thinkdiving into it a little bit
more might help, you know.
Speaker 2 (28:33):
No, no, I get that.
Let's see.
If I was an average user to useco-pilot to build an AI off of
co-pilot, I could see it verymuch a good way to integrate it
into, since it is going toeventually be integrated into
(28:55):
the O365 suite, of course youcan have it there, but I think
one of the best ways is easily,if you're a big note taker right
, in all of your meetings andall of the things that you learn
, you could then train it off of, say, like a one note.
Right, you have all yourinformation in that one note.
(29:17):
You could train, you couldcreate a co-pilot studio or a
co-pilot GPT deal that is juston your note and then you can
say, hey, I'm getting ready fora presentation, can you help me
write a presentation based offof the notes that I have here,
gotcha, and it just pops thatout.
(29:38):
You can even say, hey, you know, looking at my calendar, I have
these presentations.
Can you go ahead and start theprocess of writing out a
presentation or creating apresentation for me for each of
these meetings?
Speaker 1 (29:56):
Yeah.
Absolutely, and then you, asthat person, can just run into
that meeting having all yourstuff ready to go for you, sure,
I think that's a great coupleof examples, because you know
one thing that I have done withchat GPT is used, that kind of a
feature for you know.
(30:19):
Anyway, that would benefit mereally.
But the thing about it is,especially with recent updates
and just their preferences andall that, it can only really
stay in touch with all of thatinformation.
Then even back to the beginningof the thread that you're on,
just in case you go back to thatthread but reset and you know I
(30:40):
have to log in, log out, itdoesn't maintain all of the data
.
And so to have Microsoftintegrate this in a way where it
would stay up to date andmaintain all of that data from
the second you implement it,those are great points, man.
Just scheduling, approachingthis project this way, even help
(31:06):
writing it, you know,communication, all that kind of
stuff, those are great examples.
I think this is really good.
Speaker 2 (31:12):
Yep, yeah, so it's so exciting about this.
Speaker 1 (31:17):
Well, it is right, because the idea is it would be
a direct integration intoimproving your productivity.
Yes, Correct.
Which is great, and I think Iwanted to mention this as a side
as well.
Do you think that this albeitMicrosoft freaked out and
(31:37):
thought chat GPT was taken overfor a second and they shut down
everything?
Do you think it's thedevelopment of co-pilot studio
that was their concern or thatcaused them to have concerns
while they were building it out?
Speaker 2 (31:54):
Yeah.
Speaker 1 (31:54):
I could see that, because I mean for this news to
come out just a week later.
It's interesting, you know.
Speaker 2 (32:00):
Yeah.
Speaker 1 (32:01):
Yeah.
Speaker 2 (32:02):
I mean, I can see that because, if you think about
it right, and we shouldn't betoo surprised that they've
created this type of possibility, this integration, this system,
right, the co-pilot studio.
It's not all that surprisingbecause we talked about this.
(32:26):
You know, it's been months nowat this point where chat GPT
gosh darn, chat GPT4 alreadyshowed some very interesting
behaviors, right, where one ofthem was the scenario that we
(32:47):
talked about, which was theygave chat GPT4 a task to get
into a website and buy whateverRight, right and that website
(33:07):
sorry, I vaguely remember thisyes.
Yeah.
And so, like you know, say thatwebsite had a capture or not a
capture, but yeah, no, arecaptured deal which you know
says like are you a human right?
And chat GPT4.
Understood.
Well, I wouldn't be able to dothis, but let me get an actual
(33:29):
person to do this, right.
Speaker 1 (33:33):
It made a bot, didn't it Correct?
Speaker 2 (33:36):
Yeah, it made a bot to start the process of, you
know, being able to fill outthis recapture deal, yes, so
even it just being able to dothat kind of was a hint that
(34:01):
this now is possible, right.
So it's a bit like a co-pilotstudio that's based off of
whatever, and even some of theprojects that we've seen that
have been based off of the APIsof chat GPT have been pretty
interesting, right.
I think we also talked aboutit's been months now too which
was like auto GPT, which wasmore of an open source project
(34:24):
based off of chat GPT.
That allowed it to self prompt,right, and I've already saw
some of the capabilities there.
But in that particular scenario, they did it to where it's like
I want to order this type ofpizza, I want you to.
They gave the AI at the timethat auto GPT.
(34:48):
They gave it the task ofordering this person a pepperoni
pizza or something similar tothat right.
And so what it did was what itfirst understood okay, so here
are the things that you need todo to order a pizza.
And then it said, well, I can'tdo that because I'm a person or
I'm not a person or whateverlike that.
(35:08):
So, yeah, when I can't speak.
So what it did was it said well, okay, how do I first create,
let's create a bot that willorder this pizza, and then also
let's create a bot that canspeak, because we're going to do
it over the phone is that, willyou know, bypass X, y and Z.
And so it creates that.
(35:31):
That AI now has a voice and itcalls the restaurant, right, and
it calls the pizza restaurantand says, hey, I want to order a
pepperoni pizza.
And that person is like, okay,cool, and then they bam filled
it out and then they track itand then they say, hey, your
pizza is ready to go, right.
So even in those forms, we kindof already saw that power that
(35:58):
the GPT already has.
Speaker 1 (36:00):
Right.
And so this is now just kind ofadding to the to that, to that
fire which is interestingbecause, in case people don't
remember this, google had theirown version of that for since
2017, if I remember right, itwas specifically built with that
(36:21):
in mind, whereas, you know,chat GPT has been built with
dozens and dozens and dozens ofthings in mind and was able to
do that.
You know.
That's a great point, a greatthing to remember too, because
you know, I understand thosetype of concerns that people
have before they move forwardwith this technology, of how
(36:44):
that would work.
I will say, too, what we'veseen is a lot harsher crackdown
on buy open AI, on chat GPT, tokeep it more and more in check.
Yeah, yeah, which has been goodfor them, and I also partly
government pushed as well, Ibelieve.
But, yes, so, yeah, it'sinteresting to watch how this
(37:08):
will expand as Microsoft andimplements more and more of
Copilot Studio and really whatkind of uses we could see that
weren't broadcast or marketedand might not even be allowed.
It will be interesting to seeit really will.
(37:28):
So I wanted to say, or I wantedto ask well, I kind of lost my
question.
I had written down, to behonest, no, I think.
Well, no, the reason is isbecause you were kind of already
answering a lot of it.
Yeah, I guess really my biggestthing is do you think Really
(37:55):
two things?
What would be the big featuresthat you're excited for
personally, and do you see thisbeing uptaken by people?
Do you see people using this?
You know what I mean.
Speaker 2 (38:15):
Yes, I can see this.
I think it'll be a sloweradoption than it was with
regular old chat GPT.
The only reason why I say thatis because there's an extra
layer there that's harder forpeople to grasp.
(38:37):
That can be harder for peopleto grasp, not saying that it's
super duper easy or super duperhard.
I just think that it could be asmall barrier there for some
people or some individuals.
Speaker 1 (38:55):
Yeah, and as far as that, where are the features
that you're looking forward tothe most?
Have you mentioned?
Speaker 2 (39:04):
them.
Yeah, no, I'm trying to thinkwhat would be a feature that I I
mean, I'm really big on thestudio, the co-pilot studio.
I think that'll be really good.
Also, just a full integrationof Outlook with co-pilot Outlook
(39:31):
as well as with Windows.
I'm not on Windows 11, so Idon't get a chance to do that,
but I think that would be really, really helpful.
But, yeah, I think Outlookwould probably be my biggest one
, just because I get a ton ofemails.
Speaker 1 (39:48):
Yeah.
Speaker 2 (39:48):
And so if I could have an AI that would go through
, If I could have co-pilot gothrough those emails really
quickly and say this and thisand this and this and I'm
getting like bullet points,that'd be really nice.
Speaker 1 (40:03):
I completely agree.
I think for me and this is assomebody who used to work in the
news, in case you're a newerviewer you probably haven't
heard us talk about that for thepast two years or so, but I got
a lot of emails while I wasworking there.
(40:27):
You know what's interestingabout that is based on the
experience I had.
I bet this has taken up last,if at all, in the news industry.
This technology, so many people,the pride of being a journalist
is overprotected a lot of timesbecause you don't want anything
(40:48):
to take away from what it isyou do, even if it's AI or
computer assisting you.
You know what I mean.
So it's a common concern that Ihear a lot With.
That said, it would beextremely beneficial when you're
someone like a producer, like Iwas where you have to have help
(41:11):
with oh, this is coming in andhere's how we could add it to
the newscast.
You know those type of a thingand there's so much possibility
you could make of that.
Here's how we would make a20-second anchor read.
Here's why it would make a goodcase to put a reporter on this,
those type of things right.
Speaker 2 (41:30):
Yeah, exactly.
Speaker 1 (41:32):
I know a specific example, but the reason I say
this is because I wouldcompletely agree with you and I
think what I'm living in mycurrent job now, which is not
news related at all, is moremarketing.
But just having this AI thatwould assess and help you plan
out your days, that's extremely,and even at a deeper level than
(41:56):
what we already talked about.
I think that's extremelyexciting.
Oh, yeah, and I would say tooyeah, I think it's, I would take
it up.
I see the reaction to it notbeing as great as what they
would hope for, but that'sbecause of the experience that
(42:21):
I've had professionally, whichcomes from what I was just
saying, and I know too, with alot of current jobs.
You know they ban so manyservices technology, software
services because this expositioncan't have access to that while
(42:42):
they're doing their thing right.
Speaker 2 (42:44):
Yeah.
Speaker 1 (42:45):
But you could.
But rather than making thatavailable, they just ban it for
the whole organization, rightLike?
I've seen those kinds of things.
It just makes me interested tosee how that will play out.
But with all that said beingthat, it is Microsoft, it will
be picked up.
You know what I mean.
Yes, yes.
(43:07):
And so we talked about this toothe fact that it would be 30
bucks a month, and it makes mewonder if they're going to have
I bet they will, because they'reMicrosoft Business plans for
that right oh yeah, well, I mean, that's why Studio currently in
its current form, is abusiness-only venture, sure
(43:30):
because they're allowing thebusinesses to pay for several
people to use it, rather thanyou have to go in and buy it
personally and put on your workcredit card or what have you.
Those type of things.
Speaker 2 (43:42):
Yeah, exactly yeah exactly.
Speaker 1 (43:45):
So I do raise those concerns, not because I have
them.
I'm very much excited for thistechnology and just to continue
to learn and you did a great jobhelping lay this out as well
which is to learn and understandwhat those services could be
and benefit each and everyworker.
You know what I mean, really,if you look at this and I just
(44:09):
want to say this and I'll askyou if you have any additional
thoughts as well but you seethis and this is what people
should be excited about when itcomes to artificial intelligence
.
It's not what people get soconcerned about of, oh, it's
going to steal my job, and wetalked about this a couple of
weeks ago and it is a concerngiven, whatever you know, given
(44:31):
the specific industry that wemight be talking about.
I get that, but this type ofintegration is what people
should be excited about when itcomes to AI and how they would
benefit us to be more productive, less stressed, you know.
Speaker 2 (44:50):
Yeah, no, exactly, and I think that's kind of one
of the biggest things that wereally want in general, with
these new AIs and as theycontinue to evolve and grow.
Speaker 1 (45:06):
Yeah, I completely agree, man.
Yeah, that is something thatyou hope to see more and more.
It does make me wonder,unfortunately, with ever since
the Industrial Revolution inthis country.
It makes me wonder if they'rejust gonna ask you to do more
work because you are being moreproductive, or if it opens up
(45:28):
the door to more PTO or evenfour-day work weeks.
Speaker 2 (45:32):
Yeah, that's true.
I mean I will say, you know,america is probably one of the
few countries where we are soobsessed with like we have just
a high and a very efficientworkforce, and every other, a
(45:52):
lot of other countries aroundthe world, just do not have that
.
Speaker 1 (45:57):
Right, that's their concern anyway.
Speaker 2 (46:01):
Yeah, and so it does, or sorry?
Go ahead.
Speaker 1 (46:04):
Well, I mean you just you look at countries in Europe
that give a whole summer off,you know, but they still do good
.
Yeah, they still do enougheconomically that they need to
do to be successful countries,first world countries, you know,
mm-hmm.
So it's all perspective, it'sall alignment.
(46:27):
I'm not saying by any meansthat people who do plumbing
could take three months off, youknow.
I mean, we wouldn't want that.
That would hurt us a lot, youknow.
Yeah exactly.
But yeah, I think situationallyI would be a proponent for
(46:51):
four-day work weeks to pay onwhat that looks like, you know.
Speaker 2 (46:54):
Or even just short.
Yeah, I would be too.
Speaker 1 (46:56):
Yeah, or even just short and work days.
You know what I mean.
If you can get all of your workdone efficiently, effectively,
in a higher quality than youever could before, it's kind of
like man, why not?
Why not get it done in sixhours rather than eight, right?
Speaker 2 (47:11):
Yeah, exactly, yeah, exactly.
Speaker 1 (47:15):
Now saying I do that, I'm just saying you know, if it
were institutionally supported,that'd be awesome.
Speaker 2 (47:21):
No, of course.
No, I'm not, we're not sayingthat at all, but yeah yeah for
sure.
Speaker 1 (47:26):
So, look, I think we had a great discussion on this.
I'm glad we dove into it.
We had a lot to dive throughand I think we did a great job.
I'm always glad that when Ihave the questions, dennis and I
can always answer.
I very much appreciate it.
Speaker 2 (47:40):
So Try my best.
Speaker 1 (47:42):
Oh, dude, you did a great job.
We did not, however, remind youguys the three best ways to
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(48:05):
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(50:36):
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(50:57):
So you
We got a really interesting discussion to talk
about tonight.
Right, we do, we do soMicrosoft.
We've talked about there.
We've talked a lot about themactually for the past couple of
months, you know because andthere's there's a number of
(00:20):
reasons to do that, you know, Imean, but one of the things that
we talked about with them istheir integration with open AI
right and how their investmenthas helped grow chat GPT.
Now, a couple of weeks ago orreally it was last week, wasn't
(00:40):
it that we talked about theirconcerns with AI getting going
crazy within their internal worksphere and they shut down chat
GPT, but it ended up not being achat GPT issue by any means.
But, yes, they've talked abouta number of things with AI
integration, including making itMicrosoft Copilot right now.
(01:04):
Right, which?
Remind people, if you could,what are the main services that
that offers right now?
If you have a Windows 11, yeah,if you have Windows 11,
download, what do you haveavailable to you?
Speaker 2 (01:20):
Yeah.
So, and I guess one thing tonote too is that Copilot is also
now just the rebranding of whatbeing AI was right or or or, or
being chat or whatever.
Microsoft has kind of rebrandedall of that and moved it into
(01:41):
Copilot.
So that way it's nice, one nicecohesive deal.
But essentially Copilot,especially with Windows 11, is
supposed to be integrated intothe search, so then you can get
suggestions from there and thenyou can also just directly
access the AI, the Copilot AI,and you're able to kind of, you
(02:04):
know, do a lot of the samethings that you could do with
any of the other AI chat bots,like Bard and chat, gpt and
stuff.
Um, they've also started theprocess of trying to integrate
Copilot into all of theMicrosoft suite.
So, for instance, of course, ifyou're going to say you need
(02:26):
help writing an essay orsomething like that, it can help
you generate ideas and be ableto help you kind of help
structure maybe your essay orsomething similar to that.
Same thing with PowerPoint Excelyou can use it for really just
checking out the data or beingable to, like create
(02:47):
observations off of that dataand then maybe even help you
format that data in a way thatit looks a little bit more
visually pleasing.
It takes away some of the tasks, some of those tasks for you,
and then, of course, going intothe other places and stuff, and
Microsoft recently announced theintegration into Teams as well,
(03:11):
so that'll be really a reallybig one as well.
As in for Outlook is anotherthing that they're trying to
help with, like, especiallybecause in Outlook they're
getting, they want to make it towhere you'll be able to use the
Copilot AI to help you create,say, emails that you're trying
(03:34):
to email someone about, and evensummarizing emails for people,
or that your coworkers send you,and stuff like that.
So, yeah, copilot is somethingthat Microsoft is really jumping
into to try to make a reallycohesive experience, ai driven
(03:56):
experience that they're tryingto go for.
Speaker 1 (03:58):
Sure, I think the email integration is interesting
.
Just from a professional review, I think the people that would
use that already write goodemails themselves, and then the
other people that need it aremore of the mindset of oh, I'm
(04:19):
not down working with AI, sweepin generalization, but just what
I've experienced and witnessedas well.
But, with that said, it is agreat option and, I think, very
effective as well.
With the Teams integration thatwe've talked about, if I
(04:39):
remember right, it would helpwith things like if you're on a
Teams meeting, it would takenotes for you and transcribe the
whole thing, but then use thattranscription to make the notes
that you need to have and youneed to see for your job.
And one of the other big thingswith Outlook and Microsoft
(05:01):
Copilot that excites me is thatit would go through your email
and say this is what is duetoday, this is what it's due
tomorrow, and it helps make yourplans and just helps you stay
on top of your job because ofthat.
Speaker 2 (05:17):
Yep exactly.
Speaker 1 (05:18):
Yeah, I think those two things are the biggest, most
tangible and beneficial,because you have a lot of people
and not really to make thisabout the focus of this episode
but you have a lot of peoplethat are against using AI like
this.
Right, they think it's verysimple and just unstructured,
(05:42):
unnecessary.
For example, I actually saw aFacebook post just the other day
of someone who turned a songinto something negative and just
shared it.
To be like this is how crazyand unnecessary this technology
is, and I was like it's a verylight level and unnecessary way
(06:05):
to use this tech, right?
Yep, there's so many greaterthings.
But for it to be moreintegrated and simple, but
integrated enough to where?
Hey, you know what I'm usingthis to not just get everything
I need out of this 30-minutegroup teams meeting, if you will
, or to sift through the 28emails I got overnight to know
(06:28):
what we're doing today and whatI need to do.
It's very effective stuff.
I think it's very good.
Mm-hmm, yeah, so what we'retalking about today is not just
that.
We're talking about theadvancement and next level of
that that will be coming earlynext year, right?
(06:49):
Mm-hmm?
Yeah, it is Microsoft Co-PilotStudio.
It is not included, it is notfree, it will be $30 a month.
Speaker 2 (06:59):
Yep.
Speaker 1 (07:01):
And again, not terrible.
But when you add all of thesethings together, which I wonder
and we can talk about this toowould it include a version of
ChatGPT, if you paid that?
Speaker 2 (07:13):
I mean, I mean, co-pilot is going off of the
ChatGPT for language model.
So technically, yes, okay, butit's not.
It's if you pay for Co-Pilot,right, you are not going to get
(07:34):
access to OpenAI's ChatGPT likespecific ChatGPT thing.
Yes, it would be, of course,microsoft's tailored version of
the ChatGPT language model, likeversion 4 or whatever, yeah, of
the language module model.
Speaker 1 (07:50):
Which.
This is an interestingdiscussion that Dennis and I
have had, more so behind thescenes, but it's also been based
on stuff of me doing researchto see how we can grow our
platform, and AI services areincluded in that.
It's interesting because and Ido think this is a separate
(08:11):
discussion we can have furtherat another time you hear a lot
of people talk about oh,americans pay so much because
they spend so much on theplatform, much because they
spend, or for monthlysubscriptions, because they
spend money on Netflix andDisney Plus and all that kind of
stuff, right, right, right.
Well, you can quickly rack upthat level of subscription with
(08:39):
AI services.
You know what I mean.
And I do wonder again, before wedive fuller into this topic, to
let you guys know what thisnext level of Co-Pilot would be,
what all of the services are.
It's going to be interesting.
We think you're going to loveit, but I do want to know.
(09:00):
It seems like a lot of thisstuff is overpriced, man, and
wondering if it will come downin price.
You know what I mean.
Speaker 2 (09:08):
Yeah, yeah, I mean, that's a great question.
I think the language modelsthat we have currently, yes,
will come down in price, but Idon't think that.
Speaker 1 (09:27):
New or premium services would come down,
because the thing about it ischat GPT 20 bucks a month, what
we're talking about here, withthe Co-Pilot Plus, right.
Speaker 2 (09:41):
It's the Co-Pilot.
It's M365 Co-Pilot, if I'm notmistaken.
It's the way that they'remarketing it.
Speaker 1 (09:50):
Yeah, 30 bucks.
We've researched this as well.
Ai services available in thehosting service that we use for
the podcast 20 bucks a month.
Special stuff on Linktree wherewe link everything that you
want to listen to, watch tothose AI services I think were
(10:13):
$18 a month.
And it's not even just a guyWith that.
It integrates normal workingstuff as well.
But still that racks up quickand that is the best with the
podcast.
If you look at other peoplethat are trying to grow, as say,
(10:33):
an influencer on social mediaor even just grow their small
business in any way, man thatcan rack up quick for a lot of
money coming out.
Speaker 2 (10:43):
Yeah, it can, and that's kind of where some
consumers have to be a littlebit more picky and a little bit
more scared than what they couldbe.
But I mean, the thing is alsolike these, these generative AI
models are relatively versatile,so you can use them in so many
(11:10):
different manners than what youcould do with, you know, your
regular, like Netflixsubscription or something
similar to that.
Speaker 1 (11:18):
Oh, I doubt.
Yeah, yeah, yeah, for sure.
No, it's very much beneficial.
I'm on board.
You're also talking to a guywho pays for Amazon Prime but
splits that with his family andthen you gets to stream through
that.
I do pay for Disney Plus, I payfor YouTube TV, but I've split
(11:41):
that with multiple people too,so it's a lot more manageable
based on how I approach it.
But but yeah, you know, a lotof other people have Netflix and
they have these other ones thatI don't use, like Hulu, for
example, right, those kind ofthings and that stuff, and
you're not able to split withother people necessarily, and
(12:03):
that price racks up quick.
Speaker 2 (12:05):
Yeah, yeah, that's true.
I mean, I know, I know myfamily, we, we kind of pick and
choose the services that we use,the streaming services that we
use, and then you know and whopays what, and then that way we
can all share the account.
It's just yeah, we can allshare the account.
(12:32):
It's just you know who pays for.
It is a little different.
We kind of try to trade off.
Speaker 1 (12:38):
Oh sure, sure, Sure, I definitely get that.
You know one.
This is a side story and we'lljump in the topic here.
So I did a trial for YouTubepremium.
You'll be really happy because,hey, look at you.
And since been promoting thatfor a while, I have, and I'm a
(12:59):
fan of it.
Speaker 2 (12:59):
If you don't like ads .
Speaker 1 (13:02):
I know.
Speaker 2 (13:02):
It's a way to go.
You'll never notice how many atyou to how many ads that
YouTube has, until you pay for.
Speaker 1 (13:10):
Right, you know it's kind of weird.
So I've listened to a couple ofVodcasts, if you will, and it's
weird because Me having to gothrough it and then I listened
for six minutes and then there'san ad and I'm like, okay, skip
that, I can get back to it now.
It made me more integrated in aweird way, rather than just
(13:34):
listening to it straight throughwith no ads trying to strike me
.
It's very weird.
That is yeah, um, but with thatsaid, I was getting very tired
because YouTube has picked upthe amount of ads they were
putting in there and the amountof them that you can't skip.
It was getting so annoying.
So, anyway, I did trial on itand what's interesting about how
(13:59):
they did it?
It was X price, right, but ifyou go to set it up on your
iPhone, it would charge you anadditional $6 more a month If
you did through your iPhone.
Yes, oh, I know why.
Why?
Speaker 2 (14:19):
Uh, it's the Apple tax.
It's because your Apple takes acertain percentage off of the
subscription if it's donedirectly in the um, if it's done
directly in the store.
Speaker 1 (14:36):
It's just so dumb man , you know.
And it's not the only thingthey do it on either as
exorbitant.
If you go into um, like if Iwere to try and boost a post
that we made on our podcastTiktok page, it would charge me
(14:57):
the ad amount and then anotherlike three and a half dollars
just because I did it throughApple.
But if I did on desktop itwouldn't do that I like.
It's so dumb, you know.
Speaker 2 (15:12):
It's because it's an app You're doing it through the
app that all app transactionshave to go through the Apple
store or the app store.
Yeah, and so when thosetransactions are going through,
apple's taken their little cutand boom.
Speaker 1 (15:34):
Yes, absolutely.
Now, it's just weird.
I don't know, I'm not.
It's not a little cut, that'sthe thing.
You know what I mean.
It's not a 99 cent fee or abuck 99 fee, it's it's simpler,
it's expensive.
Yeah yeah.
It's just not something I'm afan of and, thankfully, have
(15:56):
found ways to work around.
I hope you guys do too.
But look, we're already flyingthrough this episode.
Speaker 2 (16:02):
I say we just roll into the topic, man you know
what I'm saying yeah, let's doit, man, let's do it.
Speaker 1 (16:06):
Let's get into it.
Yeah, so I'm seeing here yeah,microsoft Copilot Studio is one.
Speaker 2 (16:13):
I'm seeing the title of this yes, yes, exactly, it's
a it's Copilot Studio.
Speaker 1 (16:20):
Okay.
Speaker 2 (16:21):
That is correct.
Speaker 1 (16:22):
So let's talk about the features that you'll get
that aren't included already inCopilot, right yeah.
Yeah Of course, one thing itsays here is low code
customization tool.
It allows users to customizeCopilot from Microsoft 365,
(16:45):
which is your whole office suiteyou would have and build
standalone Copilates combiningcustom GPTs, generative AI
plugins and manual topics.
So, to expound upon that, whatdoes that mean?
What does that look like?
Because it's exciting.
It sounds like you'd be able tocreate a chat GPT, but it would
(17:08):
, or, I'm sorry, some form ofthat that would directly benefit
you.
Speaker 2 (17:13):
Yeah, no, I mean, that's essentially it.
Right, you're creating onebased off of your dataset, right
?
It's similar to Google wasannounced this a while back
where they essentially wouldcreate a, say, you had a note, a
note tab, right, you have allyour notes in there, and then
(17:35):
they would integrate one oftheir.
They would integrateessentially like Bard, I think
at the time is when they wereannouncing it into that dataset,
right, your notes, and then youcould search and ask it
anything about all of that.
It's essentially what theseGPTs are doing in Copilot is
(17:59):
creating.
So if you have a data set of X,y and Z, you can now that is
this GPT's training data and soit's getting to learn, it's
pulling in all this informationand now you can just chat with
it and say, hey, going off ofthese trends, we'll use, like
(18:23):
some, like, if it's a data datafor like how much money the
business is making over like afive year span or whatever, like
that, you now have a GPT thatyou created off of, based off of
that data, and you can deployit to.
(18:43):
Then you can say, you can askand say, hey, what do I get?
Or you know, what is yourprediction in the next five
years, based off of the data setthat we have or whatever like
that, and it'll go through andsay like, oh yeah, well, based
off of this, we've got this,this and this.
(19:04):
These are the trends that wouldmost likely do this and this
and this, and you should moveyour business and this and this
and this, because it has all ofthat new data set right, and so
it can just regurgitate all thatinformation.
It takes away a lot of that.
If you use JAPE, chat, gpt a lot, or even co pilot in general,
(19:26):
there's a lot of times where youhave to just inject a lot of
data into it Before it figuresthat out where this is.
You can build it directly intothat data set and it figures all
of that stuff for you.
There's no, it takes away, it'sless manual process, right, and
you get to create a ton ofthese that are all specific.
(19:49):
You could probably even do itoff of, like email chains or
something similar to that.
Speaker 1 (19:54):
Okay, okay, so.
So let's use, um, yeah, whichwe expound upon that email stuff
that we were talking about,right, but let's use the podcast
as an example, right?
So let's say, for example, thatI had this on this laptop,
right?
Right, it creates a custom GPTthat each week, would stay up to
(20:20):
date with, let's say, ai orrelated type of topics, and then
would give us, each week, thosetopics to choose from and then
write the title and the episodedescription for us.
Is that that the type of thing,or an example of something that
(20:42):
people would use thistechnology for for their own,
you know, geared toward them,obviously?
Speaker 2 (20:48):
So I'll say this currently in in um, co-pilot
studios uh, current iterationit's more for corporations,
right?
So this would be moreenterprise, I think.
Even if you wanted to try toget access to co-pilot uh studio
current, currently in itscurrent form you um have to have
(21:12):
a work account, right, a workMicrosoft account.
So, essentially, this is mainlygoing to be for your, for your,
um, for your, for your workstuff, right, more enterprise
version of it.
Now, that being said, openailaunched something called a
(21:34):
GPT's, which is essentially thesame concept as co-pilot studio,
but it's more customer facing,and so, in that scenario, yes,
you could create a GPT that'sbased on that data set and it
will do all of the things thatyou want it to do, or at least
(21:58):
it'll.
You can ask it to do all thosethings, because now it has that
information to do that.
You can say, hey, it's the nexttime for us to do another
episode and this is what we wantto talk about.
What should you know?
What's?
Generate something to do,generate what we should talk
about, and um, you know bulletpoints on how we should do it,
(22:20):
or whatever like okay, cool.
Speaker 1 (22:22):
Yeah, that's crazy.
Speaker 2 (22:24):
Yeah, Okay.
So that is what the cool powerof this um is and what why it's
so impressive, right, Especially, you know, of course, as I said
before, a lot of this is kindof piggybacking off of what
OpenAI is already doing.
(22:45):
Especially since Microsoft hasa sizable investment into them,
it makes a lot of sense thatthey're going to be able to
utilize a lot of their stuffautomatically into their, into
Microsoft's own stuff.
But, um, but yeah, that's,that's kind of one of the
biggest things that this affordspeople in, affords enterprises.
(23:09):
Um, you know, I think right nowMicrosoft is going to focus on
the enterprise side, but Iwouldn't be surprised that this
moves over to the consumer sidesoon.
Speaker 1 (23:20):
Sure, so definitely more business related stuff,
right, correct, gotcha?
Okay, so let's take a look herethen.
Um, yeah, about more of thiskind of stuff, so I'll go
through these again.
These advanced features Um well, yeah, we'll come to that in
(23:40):
just a second, but, um, some ofthe benefits and applications
that were mentioned about thisuh improves your efficiency,
aids in making informeddecisions work related, of
course, and all that kind ofstuff.
Again, I think it kind of tiesback to something I was
mentioning as well, but justbeing able to sift through a
large amount of details, whetherit's in a team's meeting or you
(24:04):
know, maybe you work at a placewhere you get dozens of emails
every couple of hours, right andto be able to sift through that
information and help you makeinformed decisions that you need
based off of.
Well, you know, two weeks agoyou did this and here's where
we're at now and you're beingasked for this blah blah blah.
(24:24):
Um, let's see personalizedexperiences.
Like we've mentioned,streamlined workflows and
automating tasks, um, so rolespecific customization, uh, can
be tailored for specificorganizational roles like IT
support or sales teams withcapabilities like collaborative
(24:47):
commenting and graphicalmulti-authoring.
Um, what would that look likefor you, in your opinion?
I guess is what I'm trying tosay If it were um like IT
support, for example?
Um, yeah, what would thosespecific organizational roles be
(25:10):
able to like?
How would this benefit that?
I think that's a um yeah, sorry, go ahead.
It sounds like that's kind ofan open-ended answer, really.
Speaker 2 (25:22):
Yeah, I mean for the most part.
I mean, uh, like I can see this, I can see this, um, as
something that you could use forservice desk stuff, right, um,
how this could help forefficiency is, say, you inject
or you create a co-pilot basedoff of the data of the tickets
(25:46):
that you get, right, the, andyou can ask it and say okay,
based off of the tickets that wehave, what is the most common
ticket that we have?
Or whatever like that.
And how long does it take forthis issue to get resolved?
So, like, what's the mostcommon issue and how long does
it take to resolve?
(26:06):
And it'll just turn that out.
And then you can ask it okay,so what are some things for us
to make this more efficient?
And at that point, right, itcan just say, okay, well, we
could do this, this and this.
And then you could probablyeven make it go even further by
creating another co-pilot botthat is also tied to the
(26:28):
ticketing system.
But you can now use that as afirst level of defense when it
comes to customers, to thecustomer facing right.
So, instead of being able tochat to a person, they can chat
to a chat bot and say, like, hey, bloop, here's an article or
(26:50):
here is a fix that was used inticket X, y and Z that had this
type of resolution Use this tofix your issue, or whatever like
that.
So you know, there's a lot thatcan be done there.
You could also use it in moreof an asset management capacity
(27:13):
when it comes to IT, saying, hey, we've got this many units,
what is our burn rate?
That you're that we're seeingin, you know, this skew of
products or whatever like thatlike how fast does it go out?
Are we getting these assetsback?
All that good stuff, so I cansee.
(27:33):
I can see it helping workflows.
I think it's just.
I think it's the willingness ofpeople giving it access to that
data.
Speaker 1 (27:45):
Yeah, which I don't know.
Maybe that's something you canexpound upon too, because I do
want your opinion.
But what really are the waysthat say an average person, say
maybe even a less tech-orientedperson, right, Like somebody who
doesn't have a backgroundknowledge of AI like I do, who's
(28:08):
in marketing, for example?
Or it doesn't even have to bethat specific, but just
something at that level whatwould?
How would co-pilot studiobenefit, kind of the average
computer worker, if you will,Because I and we were touching
(28:29):
this a little bit by, just thinkdiving into it a little bit
more might help, you know.
Speaker 2 (28:33):
No, no, I get that.
Let's see.
If I was an average user to useco-pilot to build an AI off of
co-pilot, I could see it verymuch a good way to integrate it
into, since it is going toeventually be integrated into
(28:55):
the O365 suite, of course youcan have it there, but I think
one of the best ways is easily,if you're a big note taker right
, in all of your meetings andall of the things that you learn
, you could then train it off of, say, like a one note.
Right, you have all yourinformation in that one note.
(29:17):
You could train, you couldcreate a co-pilot studio or a
co-pilot GPT deal that is juston your note and then you can
say, hey, I'm getting ready fora presentation, can you help me
write a presentation based offof the notes that I have here,
gotcha, and it just pops thatout.
(29:38):
You can even say, hey, you know, looking at my calendar, I have
these presentations.
Can you go ahead and start theprocess of writing out a
presentation or creating apresentation for me for each of
these meetings?
Speaker 1 (29:56):
Yeah.
Absolutely, and then you, asthat person, can just run into
that meeting having all yourstuff ready to go for you, sure,
I think that's a great coupleof examples, because you know
one thing that I have done withchat GPT is used, that kind of a
feature for you know.
(30:19):
Anyway, that would benefit mereally.
But the thing about it is,especially with recent updates
and just their preferences andall that, it can only really
stay in touch with all of thatinformation.
Then even back to the beginningof the thread that you're on,
just in case you go back to thatthread but reset and you know I
(30:40):
have to log in, log out, itdoesn't maintain all of the data
.
And so to have Microsoftintegrate this in a way where it
would stay up to date andmaintain all of that data from
the second you implement it,those are great points, man.
Just scheduling, approachingthis project this way, even help
(31:06):
writing it, you know,communication, all that kind of
stuff, those are great examples.
I think this is really good.
Speaker 2 (31:12):
Yep, yeah, so it's so exciting about this.
Speaker 1 (31:17):
Well, it is right, because the idea is it would be
a direct integration intoimproving your productivity.
Yes, Correct.
Which is great, and I think Iwanted to mention this as a side
as well.
Do you think that this albeitMicrosoft freaked out and
(31:37):
thought chat GPT was taken overfor a second and they shut down
everything?
Do you think it's thedevelopment of co-pilot studio
that was their concern or thatcaused them to have concerns
while they were building it out?
Speaker 2 (31:54):
Yeah.
Speaker 1 (31:54):
I could see that, because I mean for this news to
come out just a week later.
It's interesting, you know.
Speaker 2 (32:00):
Yeah.
Speaker 1 (32:01):
Yeah.
Speaker 2 (32:02):
I mean, I can see that because, if you think about
it right, and we shouldn't betoo surprised that they've
created this type of possibility, this integration, this system,
right, the co-pilot studio.
It's not all that surprisingbecause we talked about this.
(32:26):
You know, it's been months nowat this point where chat GPT
gosh darn, chat GPT4 alreadyshowed some very interesting
behaviors, right, where one ofthem was the scenario that we
(32:47):
talked about, which was theygave chat GPT4 a task to get
into a website and buy whateverRight, right and that website
(33:07):
sorry, I vaguely remember thisyes.
Yeah.
And so, like you know, say thatwebsite had a capture or not a
capture, but yeah, no, arecaptured deal which you know
says like are you a human right?
And chat GPT4.
Understood.
Well, I wouldn't be able to dothis, but let me get an actual
(33:29):
person to do this, right.
Speaker 1 (33:33):
It made a bot, didn't it Correct?
Speaker 2 (33:36):
Yeah, it made a bot to start the process of, you
know, being able to fill outthis recapture deal, yes, so
even it just being able to dothat kind of was a hint that
(34:01):
this now is possible, right.
So it's a bit like a co-pilotstudio that's based off of
whatever, and even some of theprojects that we've seen that
have been based off of the APIsof chat GPT have been pretty
interesting, right.
I think we also talked aboutit's been months now too which
was like auto GPT, which wasmore of an open source project
(34:24):
based off of chat GPT.
That allowed it to self prompt,right, and I've already saw
some of the capabilities there.
But in that particular scenario, they did it to where it's like
I want to order this type ofpizza, I want you to.
They gave the AI at the timethat auto GPT.
(34:48):
They gave it the task ofordering this person a pepperoni
pizza or something similar tothat right.
And so what it did was what itfirst understood okay, so here
are the things that you need todo to order a pizza.
And then it said, well, I can'tdo that because I'm a person or
I'm not a person or whateverlike that.
(35:08):
So, yeah, when I can't speak.
So what it did was it said well, okay, how do I first create,
let's create a bot that willorder this pizza, and then also
let's create a bot that canspeak, because we're going to do
it over the phone is that, willyou know, bypass X, y and Z.
And so it creates that.
(35:31):
That AI now has a voice and itcalls the restaurant, right, and
it calls the pizza restaurantand says, hey, I want to order a
pepperoni pizza.
And that person is like, okay,cool, and then they bam filled
it out and then they track itand then they say, hey, your
pizza is ready to go, right.
So even in those forms, we kindof already saw that power that
(35:58):
the GPT already has.
Speaker 1 (36:00):
Right.
And so this is now just kind ofadding to the to that, to that
fire which is interestingbecause, in case people don't
remember this, google had theirown version of that for since
2017, if I remember right, itwas specifically built with that
(36:21):
in mind, whereas, you know,chat GPT has been built with
dozens and dozens and dozens ofthings in mind and was able to
do that.
You know.
That's a great point, a greatthing to remember too, because
you know, I understand thosetype of concerns that people
have before they move forwardwith this technology, of how
(36:44):
that would work.
I will say, too, what we'veseen is a lot harsher crackdown
on buy open AI, on chat GPT, tokeep it more and more in check.
Yeah, yeah, which has been goodfor them, and I also partly
government pushed as well, Ibelieve.
But, yes, so, yeah, it'sinteresting to watch how this
(37:08):
will expand as Microsoft andimplements more and more of
Copilot Studio and really whatkind of uses we could see that
weren't broadcast or marketedand might not even be allowed.
It will be interesting to seeit really will.
(37:28):
So I wanted to say, or I wantedto ask well, I kind of lost my
question.
I had written down, to behonest, no, I think.
Well, no, the reason is isbecause you were kind of already
answering a lot of it.
Yeah, I guess really my biggestthing is do you think Really
(37:55):
two things?
What would be the big featuresthat you're excited for
personally, and do you see thisbeing uptaken by people?
Do you see people using this?
You know what I mean.
Speaker 2 (38:15):
Yes, I can see this.
I think it'll be a sloweradoption than it was with
regular old chat GPT.
The only reason why I say thatis because there's an extra
layer there that's harder forpeople to grasp.
(38:37):
That can be harder for peopleto grasp, not saying that it's
super duper easy or super duperhard.
I just think that it could be asmall barrier there for some
people or some individuals.
Speaker 1 (38:55):
Yeah, and as far as that, where are the features
that you're looking forward tothe most?
Have you mentioned?
Speaker 2 (39:04):
them.
Yeah, no, I'm trying to thinkwhat would be a feature that I I
mean, I'm really big on thestudio, the co-pilot studio.
I think that'll be really good.
Also, just a full integrationof Outlook with co-pilot Outlook
(39:31):
as well as with Windows.
I'm not on Windows 11, so Idon't get a chance to do that,
but I think that would be really, really helpful.
But, yeah, I think Outlookwould probably be my biggest one
, just because I get a ton ofemails.
Speaker 1 (39:48):
Yeah.
Speaker 2 (39:48):
And so if I could have an AI that would go through
, If I could have co-pilot gothrough those emails really
quickly and say this and thisand this and this and I'm
getting like bullet points,that'd be really nice.
Speaker 1 (40:03):
I completely agree.
I think for me and this is assomebody who used to work in the
news, in case you're a newerviewer you probably haven't
heard us talk about that for thepast two years or so, but I got
a lot of emails while I wasworking there.
(40:27):
You know what's interestingabout that is based on the
experience I had.
I bet this has taken up last,if at all, in the news industry.
This technology, so many people,the pride of being a journalist
is overprotected a lot of timesbecause you don't want anything
(40:48):
to take away from what it isyou do, even if it's AI or
computer assisting you.
You know what I mean.
So it's a common concern that Ihear a lot With.
That said, it would beextremely beneficial when you're
someone like a producer, like Iwas where you have to have help
(41:11):
with oh, this is coming in andhere's how we could add it to
the newscast.
You know those type of a thingand there's so much possibility
you could make of that.
Here's how we would make a20-second anchor read.
Here's why it would make a goodcase to put a reporter on this,
those type of things right.
Speaker 2 (41:30):
Yeah, exactly.
Speaker 1 (41:32):
I know a specific example, but the reason I say
this is because I wouldcompletely agree with you and I
think what I'm living in mycurrent job now, which is not
news related at all, is moremarketing.
But just having this AI thatwould assess and help you plan
out your days, that's extremely,and even at a deeper level than
(41:56):
what we already talked about.
I think that's extremelyexciting.
Oh, yeah, and I would say tooyeah, I think it's, I would take
it up.
I see the reaction to it notbeing as great as what they
would hope for, but that'sbecause of the experience that
(42:21):
I've had professionally, whichcomes from what I was just
saying, and I know too, with alot of current jobs.
You know they ban so manyservices technology, software
services because this expositioncan't have access to that while
(42:42):
they're doing their thing right.
Speaker 2 (42:44):
Yeah.
Speaker 1 (42:45):
But you could.
But rather than making thatavailable, they just ban it for
the whole organization, rightLike?
I've seen those kinds of things.
It just makes me interested tosee how that will play out.
But with all that said beingthat, it is Microsoft, it will
be picked up.
You know what I mean.
Yes, yes.
(43:07):
And so we talked about this toothe fact that it would be 30
bucks a month, and it makes mewonder if they're going to have
I bet they will, because they'reMicrosoft Business plans for
that right oh yeah, well, I mean, that's why Studio currently in
its current form, is abusiness-only venture, sure
(43:30):
because they're allowing thebusinesses to pay for several
people to use it, rather thanyou have to go in and buy it
personally and put on your workcredit card or what have you.
Those type of things.
Speaker 2 (43:42):
Yeah, exactly yeah exactly.
Speaker 1 (43:45):
So I do raise those concerns, not because I have
them.
I'm very much excited for thistechnology and just to continue
to learn and you did a great jobhelping lay this out as well
which is to learn and understandwhat those services could be
and benefit each and everyworker.
You know what I mean, really,if you look at this and I just
(44:09):
want to say this and I'll askyou if you have any additional
thoughts as well but you seethis and this is what people
should be excited about when itcomes to artificial intelligence
.
It's not what people get soconcerned about of, oh, it's
going to steal my job, and wetalked about this a couple of
weeks ago and it is a concerngiven, whatever you know, given
(44:31):
the specific industry that wemight be talking about.
I get that, but this type ofintegration is what people
should be excited about when itcomes to AI and how they would
benefit us to be more productive, less stressed, you know.
Speaker 2 (44:50):
Yeah, no, exactly, and I think that's kind of one
of the biggest things that wereally want in general, with
these new AIs and as theycontinue to evolve and grow.
Speaker 1 (45:06):
Yeah, I completely agree, man.
Yeah, that is something thatyou hope to see more and more.
It does make me wonder,unfortunately, with ever since
the Industrial Revolution inthis country.
It makes me wonder if they'rejust gonna ask you to do more
work because you are being moreproductive, or if it opens up
(45:28):
the door to more PTO or evenfour-day work weeks.
Speaker 2 (45:32):
Yeah, that's true.
I mean I will say, you know,america is probably one of the
few countries where we are soobsessed with like we have just
a high and a very efficientworkforce, and every other, a
(45:52):
lot of other countries aroundthe world, just do not have that
.
Speaker 1 (45:57):
Right, that's their concern anyway.
Speaker 2 (46:01):
Yeah, and so it does, or sorry?
Go ahead.
Speaker 1 (46:04):
Well, I mean you just you look at countries in Europe
that give a whole summer off,you know, but they still do good
.
Yeah, they still do enougheconomically that they need to
do to be successful countries,first world countries, you know,
mm-hmm.
So it's all perspective, it'sall alignment.
(46:27):
I'm not saying by any meansthat people who do plumbing
could take three months off, youknow.
I mean, we wouldn't want that.
That would hurt us a lot, youknow.
Yeah exactly.
But yeah, I think situationallyI would be a proponent for
(46:51):
four-day work weeks to pay onwhat that looks like, you know.
Speaker 2 (46:54):
Or even just short.
Yeah, I would be too.
Speaker 1 (46:56):
Yeah, or even just short and work days.
You know what I mean.
If you can get all of your workdone efficiently, effectively,
in a higher quality than youever could before, it's kind of
like man, why not?
Why not get it done in sixhours rather than eight, right?
Speaker 2 (47:11):
Yeah, exactly, yeah, exactly.
Speaker 1 (47:15):
Now saying I do that, I'm just saying you know, if it
were institutionally supported,that'd be awesome.
Speaker 2 (47:21):
No, of course.
No, I'm not, we're not sayingthat at all, but yeah yeah for
sure.
Speaker 1 (47:26):
So, look, I think we had a great discussion on this.
I'm glad we dove into it.
We had a lot to dive throughand I think we did a great job.
I'm always glad that when Ihave the questions, dennis and I
can always answer.
I very much appreciate it.
Speaker 2 (47:40):
So Try my best.
Speaker 1 (47:42):
Oh, dude, you did a great job.
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(48:05):
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real time.
(48:46):
Facebook and YouTube the lastcouple of weeks have been late
in the evening and we haveholidays coming up, so we will
have to change schedules alittle bit, but for the most
part, is evening time that we golive on Facebook and on YouTube
every Thursday and you get tojump in the comments with us and
interact with us in real time,which is what we want and very
(49:09):
much what we hope for.
So please do that and, even ifyou watch the rebroadcast, jump
in the comments.
We wanna know your thoughts oneverything.
And then number three oh, mygoodness dang, what in the world
?
Who guess who doesn't eat aChristmas gift man?
No, I'm playing.
(49:32):
But with that said, jump in onour shop because it's linked
wherever you're listening,wherever you're watching.
If you wanna support usmonetarily because it does cost
for us to put out, produce andhost the show it helps us for
(49:53):
you to get some really good,clean merch and we want you to
have it we updated our shop.
It's over on Etsy right now.
We think you will love it, soplease check it out, and we
can't wait to hear what youthink about it and see what you
buy.
So please check all that out.
We do have a we'll catch upwith you next time shirt that is
(50:16):
available.
It's clean and it's very, veryaffordable.
You'd be kind of silly not tobuy one, you know Like what.
So that's the best I can give.
With that said, I think we had agreat discussion on this, I
think we had a great episode andthank you guys, so much for
(50:36):
listening and thank you forwatching.
It is almost Thanksgiving time.
We're gonna jump on early, butwe will still have all of
everything that you need for thenormal routine.
So stick with us, subscribe,follow us.
Thank you for listening, thankyou for watching and we'll catch
up with you next week.
(50:57):
So you
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