October 1, 2025 • 23 mins
The Reality Bytes team is back together again! Tim, Tom, Megan, Dina and Sean swap stories of how AI has reshaped their personal and professional lives and habits over the past year—from eerie chatbot encounters and creative breakthroughs to frustrations with hallucinations and the hunt for the true “human fingerprint.”Â
Learn more about AI Drive here
Book your tickets for Nexthink Experience here: https://nexthink.com/experience
Get the latest edition of the Gartner Magic Quadrant here (https://nexthink.com/gartner-magic-quadrant-dex) Â
Learn more about AI Drive here
Book your tickets for Nexthink Experience here: https://nexthink.com/experience
Get the latest edition of the Gartner Magic Quadrant here (https://nexthink.com/gartner-magic-quadrant-dex) Â
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:01):
Welcome item change Makers to the Deck Show with Tim
Flower and Tom McGraw. Let's get into it.
Speaker 2 (00:08):
They change Makers. It's the Deck Show, show within a show,
reality bias. It's a panel edition. It's been so long
since we bought everyone together, well before the summer, I think, Tim, Yeah,
we've got we've got almost everyone here.
Speaker 3 (00:22):
Man, We've got We've got Sean, We've got Tim.
Speaker 2 (00:25):
Of course, we've got Dina, We've got Megan Oriana could
have made it, but otherwise an almost full house. Tim,
it's good to see everyone again.
Speaker 3 (00:31):
Yeah, it really is. Yeah, it's a cool summer, a
little bit quiet in some fronts, but it's good to
see you. Good to see everybody.
Speaker 2 (00:38):
And you will notice if you're listening to this show right,
but this is we've been doing a series to basically
celebrate the launch of AI Drive because it is a
it is a phenomenal new next thing unveiling, and we've
a series of shows from I Think I hopefully are
very refreshingly distinct perspectives the tackle the kind of topic
of AI transformation and hopefully people enjoyed last week's episode
(01:03):
with Charlie and that was that was a lot of
fun and we thought today, since we have everybody almost
everybody together again, we would take a slightly different tack
and rather than delve into AI dex and all the
nitty gritty, which we covered quite extensively for interviews with
the likes of Matt Rose and Charlie Nee, etc. We
thought we would just bring the team together and ask,
(01:24):
how is AI, say, in the last twelve months, how
is it changing your life? How is it changing your
work life? Because speaking for myself, Tim, there has been
an impact. You know, there's been an impact professionally and personally.
I just I posted about this on LinkedIn yesterday. But
I had this eerie experience now two days ago where
(01:46):
I was on like, I was on my help talking
to my health insurer, and I was on the customer
helpline right and I was just asking a couple of questions,
and I suddenly froze, and I suddenly thought, I'm not
sure if I'm talking to an AI or not. I'm
not positive.
Speaker 3 (02:02):
And I was just so cree with con turn. I
didn't think you were going to say that. I thought
you were gonna say, I'm not sure I'm asking all
the right questions. Let me go do some more research.
I didn't realize you it's the opposite.
Speaker 2 (02:13):
The thing is the person we ever end of the
line had like quite an authentic sounding of a person
of AI had quite authentic sounding Scottish accent, quite a
strong Scottish accent.
Speaker 3 (02:22):
Which kind of put me off. Do you know what
I mean?
Speaker 2 (02:25):
It sounds credible? And then I was suddenly like there
was a little too much pause between everything that was
set and everything was said was a little too flat,
a little depredictable, And I suddenly like, wow, are they
camouflaging the AI with like a strong regional accent.
Speaker 3 (02:40):
I won't be able to come up with them, but
I've heard people creating questions to test AI to see
if it's an actual human or not. There's some things
that it won't be able to answer or well I
posted about to him because I was only thought of
it afterwards, which is like what could have been?
Speaker 2 (02:54):
What how could I have Because it's rude to be like, U, AI.
Speaker 3 (02:58):
Who I'm the President of the United States? That I
was going to say, are you looking forward to your lunch?
Speaker 2 (03:04):
Like blade Runner style, try and elicit some human emotion? Right?
Speaker 3 (03:09):
That would be we get.
Speaker 4 (03:10):
Into the field kind of questions, right, how do you
feel about? What was your reaction towards that? Even the
reaction question could be a bit of a mirroring one.
But if it starts to become genuine and conscious related
or feelings related, that's going to be the easiest one.
In however, there they're lord learning, they are growing and learning.
Speaker 2 (03:31):
Yeah, it's going to be a game going forward, isn't it?
Trying to discern the real from the fake? And it's
going to be like I think a pastime of some sort,
you know, maybe like a game show is where people
have to, like, you know, they're confronted with you know, real, which.
Speaker 3 (03:45):
Is will the real human please stand up?
Speaker 2 (03:47):
Have we just come up with a killer? A killer
twenty first century, twenty twenty five game show idea? Everyone,
just a few minutes into reality, bikees, we're already knocking
out of the park everyone, Dina God, I know you're
going to have some good so so on with the
theme of the show. Properly speaking, data, I know you're
you're intrepid when it comes to technology. How has AI
(04:07):
been transforming your work life? Would you say most most pronouncedly.
Speaker 4 (04:12):
So, the speed and scale of drafting and research is
becoming quicker, So it's impressive in that aspect, the personalization scale,
where you're able to learn quicker onboard quicker and do
more more collaborative fast off with everybody else in that sense,
if you want or put everything in a nicer, consolidated way.
(04:36):
That's where it's been the balance between both how I'm
using it at work and how I'm using it on
the personal level. It's just a mix of both. However,
I go into those kind of conversational aspects, whether you're
like you, like you mentioned on LinkedIn or other platforms,
there are ones now where you can mimic or prepare
for a conversation that you're going to have with a
(04:57):
specific persona or on a specific topic, and you can
and tackle yourself. At the end of the day, you
get a script that would give you FAQs, questions and answers.
It's not about how to be smarter. And this is
where it's going to become an interesting challenge later on
when you're doing interviews. At least to go beyond the
skills that people have, you need to go to the
(05:18):
other skills. Do they have the capability to actually learn?
Do they know how to keep on learning. This is
one of the skills we need to keep on teaching
people and look for look for the human fingerprint. What
really makes people people to be differentiating them amongst theis
rights and I think I wrote over in our chat,
it's not humans versus the machine anymore. It's humans versus
(05:41):
humans who are capable and empowered of using AI, integrating
them in their day to day or not becoming cyborgs.
Speaker 3 (05:48):
You know.
Speaker 4 (05:49):
I'm all about the matrix and all that, but we
need to be able to differentiate more and more. It's
becoming harder because they are becoming smarter and more more
exposed than we are. I think we just need to
go back to the core of making humans humans, the
empathetic aspects of us feelings. Like mentioned earlier on expressions
(06:12):
like that, this is where our consciousness is going to prevail,
I would like to say, and this is where it's been.
It's been. It's been fantastic to use it. The irritating
or challenging part have been in the double checking, in
the context switching and the hallucinations for sure, the fragmentation
and the cognitive aspect of how things are being replied
(06:35):
back to us and the dependency blind spots. Sometimes they
don't know the correlation or dependency, which is an area
for improvement. This is where they are at now, let's
see how they will be in six monthly.
Speaker 2 (06:47):
Do you have any guardrails dinner with regards to like
the qualitative aspect of work?
Speaker 3 (06:52):
Do you know what I mean? Like when you're engaging
with AI?
Speaker 2 (06:54):
How do you how do you know? Is it just
a question of scrupulosity or are they certain habits which
keep ensuring that your work retains its personal imprint?
Speaker 5 (07:04):
You know where?
Speaker 4 (07:05):
Don't over AI things, even if you're asking AI to say,
keep it in a human tone, in a nice, warm aspect.
This is not what makes it human. It's still machine
replying right, mimicking things. But to do that is to
reflect on the integrity part, on the disciplinary part, on
keeping the rules and the guards in how to make
(07:26):
your conversation compliant. Right, I can have a very well
constructed piece of poetry. Right doesn't mean that it's going
to beautiful, doesn't mean that it's art. With all of
the new tools now that keeps on coming up with
every second hour more or less on how to make
images and everything more visually nice. But behind that visually
(07:47):
pretty looking like image. It doesn't mean that there's an artist.
It's just an algorithm trying to follow the Golden ratio
and the rules of how to create things in a
right manner. But you need to have your fingerprint. That's
why I like call out for everybody to try and
see their fingerprint, work on their own fingerprint, to keep
that email aspect. Even when you see it, even if
(08:10):
it's a bit AI, you'll know that it's still coming
from me or from Tim or any of the other guys.
Speaker 2 (08:16):
I'm considering getting an email signature that says no AI
was used in a conversation of his email. Yeah.
Speaker 4 (08:22):
Well, it's going to be the invert. Yeah, it's gonna
be the invert of every prompt that you create, right.
Speaker 2 (08:26):
Which I'm going to use AI for all of them.
Speaker 4 (08:28):
Yeah, okay, but yeah.
Speaker 2 (08:30):
We had a we had a we had a cool
I had.
Speaker 3 (08:32):
A interview Tim con't make it so early in the
morning with Charlie and you.
Speaker 2 (08:36):
I mentioned earlier Tim he spoke to a year ago, right,
the that's actually the AI theorist, right, And she was
saying that more recently she'd done free lay. So she'd
asked her AI to describe her with increasing layers of
depth on layer two layer free layer and then to
(08:57):
write write I quote write A to her soul. Wow.
And she said that the letter moved her to tears,
which was really powerful. And it reminded me, Meghan of
the initial AI use case that you brought to the show.
Just what was a few months ago, right, which was
AI's first practical use case was as a therapist, wasn't it?
Speaker 5 (09:18):
Yeah? Yeah, oh yeah, when I wrote that article about
the Hills Rey of AI, yeah, it was. Yeah, it
was one of the first calling that model. AI was
probably overstating it, but yeah, yeah, but I think I
can't remember when that was. Sometime in the mid twentieth century,
they created a chatbot that could have therapeutic conversations. Basically,
(09:38):
it was very simple. It still exists somewhere online, just
by like asking you and why do you feel that way,
like just kind of spitting your statements back to you
as a question or a follow on. But people really
believed it and used it, and yeah, we know now
people are using chat ChiPT as their therapist and it's
causing all kinds of problems and it's definitely not a
strong use case for chat chupt, but it's.
Speaker 2 (09:59):
Being what are your favorite AI use cases personally? How
has it most changed your habits of work or life.
Speaker 5 (10:07):
I tried to only use chattypt at work. I try
not to use it in my personal life. I will
admit I used it to design my or I had
it write me out a training a nutrition plan for
my triathlon that I did, but that was just a
one time a one time used. But yeah, at work,
I think chetchibt is actually a pretty good marketing copywriter
(10:28):
for like basic stuff like I'll write me a landing
page for this, and if you give it detailed notes
and a detailed prompt in terms of the tone and
voice you wanted to use, who your target audience is,
what the purpose is of the content you're looking for,
it does a pretty good job of giving you something
you can edit into something that something a human might
have written. So I use it for that kind of
quick copywriting, I will admit, so I don't have to
(10:49):
do it myself, and that it has actually sped up
my ability to work quite significantly, right because copywriting takes time,
and it doesn't take chatchipat anytime at all. So being
able to just sort of stick a document of notes
in there and ask it to create something is really useful.
But I I am more of an AI skeptic probably
than a lot of the other people on the call,
so I try not to use it over much o A.
Speaker 3 (11:13):
Much lovely word, Megan, I don't hear enough. Yeah.
Speaker 2 (11:17):
Interesting, So yeah, you'll keep you're kind of keeping that
distance of your personal life kind of purposely intentionally.
Speaker 3 (11:23):
Right, very much so.
Speaker 5 (11:24):
Yeah, for several reasons.
Speaker 3 (11:25):
Yeah, yeah, yeah, yeah, all of which are good.
Speaker 2 (11:28):
What about you, Timmy, if you got a boundary in
there yourself or you Gong.
Speaker 3 (11:32):
Oh, no boundary, there's somebody there's some privacy boundaries, right,
you consider what what am I sharing? Right? I don't.
I don't put up my social Security number or personal information.
But I do use it as a creative collaborator. I
like the thought of not asking it to do my
work for me, but ask it to do some of
the thinking for me. Right, I use it as that
(11:53):
creative collaborator. My first I went back in my chat
history with chat giput and looked at my very first
question I ever asked it, and it was tell me
what digital employee experience is. It was years ago, and
it did a pretty good job at summarizing it. And
then I kind of got more and more advanced in
the queries and that the prompts that I would put in,
but I kind of broke it down into a couple
of different places. I use it in my creative writing,
(12:14):
much like Megan does. I use it to help me
break that writer's block. I'm sitting here, I have an idea.
I've got a couple of bullets. I know what I
want to talk about, but I just can't put the
thoughts together. So I'll upload what I'm thinking of and say,
give me ten bullets of how I can expand this topic. Right,
give me some creative ideas that I can then go
(12:35):
expand on, and then once I've got a draft that
I can upload that and ask it for changes to
readability or grammar or did I miss any ideas? Things
like that. Used it a little bit in creating the
Parallel podcast. Give me some themes for episodes that I
can then go expand on and write and then tweak
it from there. Use it a lot for summarizing documents. Right.
(12:57):
I took a whole bunch of our Q and as
from podcasts like this that we've had with guests, and
I asked it to summarize each one and then use
those summary bullet points for our sales teams to go
out and publicize the podcast. Here's what we talked about,
here's the themes, and then use it for some research.
And on the personal side, I've gone down maybe four
(13:18):
or five different rabbit holes on business side hustles. Here's
my concept, develop a plan. It comes back with a
full business plan, the funding model, the manufacturing, the revue models.
It's really especially if you tell it you are a
pro rich. That's what you got to say. Make me rich,
make me rich. What's the quickest the riches? Please? When
(13:40):
can I start?
Speaker 2 (13:41):
I do miss something in that, like you can take that,
you know, as an entrepreneurial advice.
Speaker 3 (13:46):
And so I've definitely done finance research, right, I'm here's
what I'm looking at doing with my K or my
IRA or my mortgage or give me some advice on
how to structure things, and it's it seems to be
pretty good.
Speaker 2 (14:00):
See Megan, this is where you've got to let it
into your personal life a little bit, you know, Thank you.
You the only person not handing a whole alsoul over
to the to the matrix.
Speaker 3 (14:13):
All right, all right, you'll be laughing, you'll be liking.
Told you a while back to The strangest interaction I
had with it was when I asked it what some
future roles of AI employees might be. How was a
guy going to impact new jobs? And one of them
the five that it listed was Deck's strategist and the influenteses.
Next to that those words it said, wink, wink, wink,
(14:35):
which kind of blew me away.
Speaker 2 (14:37):
Yeah, it's funny when it's cheeky. It's funny when it's cheeky.
You you know, look, we all have you know, we're
talking about so far pretty similar professional profiles. But what
about you know, especially maybe Tim and Dina, who have
a lot of connections to a lot of different professional
profiles inside the company, a lot of other experiences to
(14:58):
have us on the call as well, you know, has
any any colleagues maybe in product development specifically, maybe in
the development of some of these kind of AI centric
new products such as AI Drive or upcoming Spark or
such like, where You've been really struck by descriptions of
colleagues of how they're using using AI more generally in
(15:20):
innovative fashion. Timbers like, no way, I'm getting out of here.
Speaker 3 (15:24):
I don't have anything dropped.
Speaker 4 (15:26):
Okay, it's on new data, all right, So innovative way
of using AI. It's beyond the product and businesses. People
are more elevating their day to day tasks from becoming
doers to becoming orchestrators, to becoming more on a strategic
level to correlate and find the bits and pieces and
(15:46):
the time consuming tasks of doing research or looking for
better solutions, how tos, et cetera, and like Tim mentioned earlier,
asking it to think with me, give me ideas, inspire me,
remove that locker from here and there. This is where
the evolution of the jobs, let's say, is becoming. So
you'll have more and more into that aspect, becoming more
(16:09):
AI empowered in your day to day of work. Let's
just keep it on the work aspect. But you need
to be improving also the prompt literacy of some people
so they can be more more empowered, right and have
more instructions, chain out of thought, role playing such things
which now are becoming easier. You just do it. You
don't have to get to schedule a meeting with another
(16:31):
person from that other department to get their thoughts on
A B and C. You can AI your way into
it initially and then drill down later on on a
maybe different level of a conversation with someone else who
is more of a subject matter expert on that topic.
So that's one of those Well, that's one of those
use cases. What we get to see from that perspective.
Speaker 2 (16:53):
Very cool, Sean kind on the spectrum of AI intimacy,
Are you right? I imagine a bit like Megan, you
keep into yourself, You're keeping your you're keeping your boundaries there.
Speaker 6 (17:05):
A little bit maybe between Megan and Tim. I definitely
think it's helpful in the content creation and building out
an outline for certain things, both with work and outside
of work. Yeah, when it comes to creative writing or
communication or building a presentation, I don't know. I think
(17:26):
a lot of my communication with colleagues is always going
to be from me because they know who I am
and we have a history, and there's other dynamics that
it just works better. But yeah, for a certain copy obviously,
what you see on a organization or a company website
is probably going to always be mostly written by but
depending on Like you know, if you have a meeting
(17:48):
with ten people in a room and they sort of
know you, and there's one person you're trying to convince
a for a sale, I think that's mostly got to
come from the individual, from the person. I don't know
if that's the way to answer your question, but I
am outside of where creatively, I am absolutely terrified by it.
(18:09):
I don't think it's if you're going to start replacing
novels and movies and arts, then what's the point. So
hopefully we never.
Speaker 3 (18:16):
Get to that stage. But let's just I'll lead it there.
We got a patient temper. Yeah. So I was at
a partner event the other day in New York City
and one of the there's other vendor that are presenting.
It's outside of our space, but it was an intriguing
use case for AI. They were a physical security monitoring company.
So picture of video cameras, security cameras in the back
(18:40):
of a warehouse outside that look for intruders or things
like that. At two am. There's nobody there that you
could have one hundred monitors that you have to watch.
And what their aid did was look at video and
interpret what it was seeing. So, for instance, they showed
an example of somebody throwing away some trash and a
dumpster and the dumpster starts on fire. There's nobody there
(19:01):
to see that activity, but it recognized fire and was
able to dispatch authorities and put the fire out without
any human interaction. They were able to differentiate people loitering
versus people loitering with a crowbar getting ready to break
into the building. It was a really intriguing use case
for AI to help where almost in the context of
(19:22):
what we do analyzing so much data, quicker and more
effectively than any individual human ever could.
Speaker 2 (19:29):
It was pretty cool, excellent, excellent, all fascinating and strange times.
We're living through everybody strange times, strange times. And I
didn't even have to share my own strange experiences with this.
Well now it's the time in any depth, on any depth.
But I'm beyond the tim level. I'm closer to Sharlie
with her letter to my soul.
Speaker 3 (19:49):
You know, all right there, but listen, we are we
are releasing this.
Speaker 2 (19:55):
It is it is if I'm not mistaken, but from
the day I have planned to really this episode is
the is the twenty ninth of September, which is the
day before Experience London. Now, if you're a regular listener
to the show and you think, oh my goodness, I
didn't realize Experience London was coming up so quickly, don't
(20:16):
despair that they're it's it's still time, I think, to
get one of the final final tickets and to hopefully
clear things with your boss and get down there. So
and we have you know, the director of Experienced Content
across Boston and London, Megan with us to tell us
a little bit about London first of all, Meghan, and
(20:36):
then maybe you can see up Boston and when that is.
Speaker 5 (20:38):
Yes, yeah, no, definitely, definitely would love to. And yeah
for anyone who is listening to this especially and I
think if you liked this conversation and you're curious about
maybe innovative ways in which people are using AI or
new potential ways that AI could be influencing your work. Index.
The Boston event is October fourteenth and fifteenth this year,
(20:59):
two full days of content, another killer lineup. Please go
to the website and see who we've got coming to talk.
It's going to be really exciting. And of course the
big thing about Experience is you can meet a network
with all the other people who are as passionate about
rethinking and reshaping AI as you are it and AI
as you are. So it's a really it's an event
(21:20):
you shouldn't miss And if you are in North America,
maybe be happy for you to know that Neil deGrasse
Tyson is our special guest speaker in Boston this year.
So he's not an IT guy, but he is pretty
cool and we're all very excited to hear himhim talk
as well. So don't miss out. Please, whether you're in
the UK or you're in North America, come join us
next Think dot Com Slash Experience to get your ticket.
Speaker 3 (21:41):
There will be next.
Speaker 2 (21:42):
There will be Deck Show live episodes filmed as ever
on the Spotlight stage in both locations. So Tim and
I look forward to seeing hopefully some listeners in person.
We usually have some most conversations with listeners there, don't we, Tim?
Speaker 3 (21:56):
Yep. Yeah, it's always good to chat with people and
get their live kind of.
Speaker 2 (22:01):
Absolutely, you know, look a you know, if you follow
us on social media, why not share some of your
own weird and wonderful ways of using AI, your own
thoughts or trepidations, about the future of this technology in
or out of the workplace. And you know, if you're
interested in you know your your digital workplace team having
(22:22):
greater visibility, greater control, greater insight, greater ability to influence
the adoption and transformation that AI offers any organization, you've
got to look into AI drive. We're already drilling that
home the last few weeks, and you can find a
link in the show notes to that, as well as
all many of the other resources that we've already mentioned.
(22:43):
Just remains for us to say we hope to see many,
many many of you listeners in London or in Boston,
and we'll see you all soon.
Speaker 3 (22:50):
Guys.
Speaker 1 (22:52):
To make sure that you never miss an episode, subscribe
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(23:12):
dot com. Thank you so much for listening. Until next time,
Welcome item change Makers to the Deck Show with Tim
Flower and Tom McGraw. Let's get into it.
Speaker 2 (00:08):
They change Makers. It's the Deck Show, show within a show,
reality bias. It's a panel edition. It's been so long
since we bought everyone together, well before the summer, I think, Tim, Yeah,
we've got we've got almost everyone here.
Speaker 3 (00:22):
Man, We've got We've got Sean, We've got Tim.
Speaker 2 (00:25):
Of course, we've got Dina, We've got Megan Oriana could
have made it, but otherwise an almost full house. Tim,
it's good to see everyone again.
Speaker 3 (00:31):
Yeah, it really is. Yeah, it's a cool summer, a
little bit quiet in some fronts, but it's good to
see you. Good to see everybody.
Speaker 2 (00:38):
And you will notice if you're listening to this show right,
but this is we've been doing a series to basically
celebrate the launch of AI Drive because it is a
it is a phenomenal new next thing unveiling, and we've
a series of shows from I Think I hopefully are
very refreshingly distinct perspectives the tackle the kind of topic
of AI transformation and hopefully people enjoyed last week's episode
(01:03):
with Charlie and that was that was a lot of
fun and we thought today, since we have everybody almost
everybody together again, we would take a slightly different tack
and rather than delve into AI dex and all the
nitty gritty, which we covered quite extensively for interviews with
the likes of Matt Rose and Charlie Nee, etc. We
thought we would just bring the team together and ask,
(01:24):
how is AI, say, in the last twelve months, how
is it changing your life? How is it changing your
work life? Because speaking for myself, Tim, there has been
an impact. You know, there's been an impact professionally and personally.
I just I posted about this on LinkedIn yesterday. But
I had this eerie experience now two days ago where
(01:46):
I was on like, I was on my help talking
to my health insurer, and I was on the customer
helpline right and I was just asking a couple of questions,
and I suddenly froze, and I suddenly thought, I'm not
sure if I'm talking to an AI or not. I'm
not positive.
Speaker 3 (02:02):
And I was just so cree with con turn. I
didn't think you were going to say that. I thought
you were gonna say, I'm not sure I'm asking all
the right questions. Let me go do some more research.
I didn't realize you it's the opposite.
Speaker 2 (02:13):
The thing is the person we ever end of the
line had like quite an authentic sounding of a person
of AI had quite authentic sounding Scottish accent, quite a
strong Scottish accent.
Speaker 3 (02:22):
Which kind of put me off. Do you know what
I mean?
Speaker 2 (02:25):
It sounds credible? And then I was suddenly like there
was a little too much pause between everything that was
set and everything was said was a little too flat,
a little depredictable, And I suddenly like, wow, are they
camouflaging the AI with like a strong regional accent.
Speaker 3 (02:40):
I won't be able to come up with them, but
I've heard people creating questions to test AI to see
if it's an actual human or not. There's some things
that it won't be able to answer or well I
posted about to him because I was only thought of
it afterwards, which is like what could have been?
Speaker 2 (02:54):
What how could I have Because it's rude to be like, U, AI.
Speaker 3 (02:58):
Who I'm the President of the United States? That I
was going to say, are you looking forward to your lunch?
Speaker 2 (03:04):
Like blade Runner style, try and elicit some human emotion? Right?
Speaker 3 (03:09):
That would be we get.
Speaker 4 (03:10):
Into the field kind of questions, right, how do you
feel about? What was your reaction towards that? Even the
reaction question could be a bit of a mirroring one.
But if it starts to become genuine and conscious related
or feelings related, that's going to be the easiest one.
In however, there they're lord learning, they are growing and learning.
Speaker 2 (03:31):
Yeah, it's going to be a game going forward, isn't it?
Trying to discern the real from the fake? And it's
going to be like I think a pastime of some sort,
you know, maybe like a game show is where people
have to, like, you know, they're confronted with you know, real, which.
Speaker 3 (03:45):
Is will the real human please stand up?
Speaker 2 (03:47):
Have we just come up with a killer? A killer
twenty first century, twenty twenty five game show idea? Everyone,
just a few minutes into reality, bikees, we're already knocking
out of the park everyone, Dina God, I know you're
going to have some good so so on with the
theme of the show. Properly speaking, data, I know you're
you're intrepid when it comes to technology. How has AI
(04:07):
been transforming your work life? Would you say most most pronouncedly.
Speaker 4 (04:12):
So, the speed and scale of drafting and research is
becoming quicker, So it's impressive in that aspect, the personalization scale,
where you're able to learn quicker onboard quicker and do
more more collaborative fast off with everybody else in that sense,
if you want or put everything in a nicer, consolidated way.
(04:36):
That's where it's been the balance between both how I'm
using it at work and how I'm using it on
the personal level. It's just a mix of both. However,
I go into those kind of conversational aspects, whether you're
like you, like you mentioned on LinkedIn or other platforms,
there are ones now where you can mimic or prepare
for a conversation that you're going to have with a
(04:57):
specific persona or on a specific topic, and you can
and tackle yourself. At the end of the day, you
get a script that would give you FAQs, questions and answers.
It's not about how to be smarter. And this is
where it's going to become an interesting challenge later on
when you're doing interviews. At least to go beyond the
skills that people have, you need to go to the
(05:18):
other skills. Do they have the capability to actually learn?
Do they know how to keep on learning. This is
one of the skills we need to keep on teaching
people and look for look for the human fingerprint. What
really makes people people to be differentiating them amongst theis
rights and I think I wrote over in our chat,
it's not humans versus the machine anymore. It's humans versus
(05:41):
humans who are capable and empowered of using AI, integrating
them in their day to day or not becoming cyborgs.
Speaker 3 (05:48):
You know.
Speaker 4 (05:49):
I'm all about the matrix and all that, but we
need to be able to differentiate more and more. It's
becoming harder because they are becoming smarter and more more
exposed than we are. I think we just need to
go back to the core of making humans humans, the
empathetic aspects of us feelings. Like mentioned earlier on expressions
(06:12):
like that, this is where our consciousness is going to prevail,
I would like to say, and this is where it's been.
It's been. It's been fantastic to use it. The irritating
or challenging part have been in the double checking, in
the context switching and the hallucinations for sure, the fragmentation
and the cognitive aspect of how things are being replied
(06:35):
back to us and the dependency blind spots. Sometimes they
don't know the correlation or dependency, which is an area
for improvement. This is where they are at now, let's
see how they will be in six monthly.
Speaker 2 (06:47):
Do you have any guardrails dinner with regards to like
the qualitative aspect of work?
Speaker 3 (06:52):
Do you know what I mean? Like when you're engaging
with AI?
Speaker 2 (06:54):
How do you how do you know? Is it just
a question of scrupulosity or are they certain habits which
keep ensuring that your work retains its personal imprint?
Speaker 5 (07:04):
You know where?
Speaker 4 (07:05):
Don't over AI things, even if you're asking AI to say,
keep it in a human tone, in a nice, warm aspect.
This is not what makes it human. It's still machine
replying right, mimicking things. But to do that is to
reflect on the integrity part, on the disciplinary part, on
keeping the rules and the guards in how to make
(07:26):
your conversation compliant. Right, I can have a very well
constructed piece of poetry. Right doesn't mean that it's going
to beautiful, doesn't mean that it's art. With all of
the new tools now that keeps on coming up with
every second hour more or less on how to make
images and everything more visually nice. But behind that visually
(07:47):
pretty looking like image. It doesn't mean that there's an artist.
It's just an algorithm trying to follow the Golden ratio
and the rules of how to create things in a
right manner. But you need to have your fingerprint. That's
why I like call out for everybody to try and
see their fingerprint, work on their own fingerprint, to keep
that email aspect. Even when you see it, even if
(08:10):
it's a bit AI, you'll know that it's still coming
from me or from Tim or any of the other guys.
Speaker 2 (08:16):
I'm considering getting an email signature that says no AI
was used in a conversation of his email. Yeah.
Speaker 4 (08:22):
Well, it's going to be the invert. Yeah, it's gonna
be the invert of every prompt that you create, right.
Speaker 2 (08:26):
Which I'm going to use AI for all of them.
Speaker 4 (08:28):
Yeah, okay, but yeah.
Speaker 2 (08:30):
We had a we had a we had a cool
I had.
Speaker 3 (08:32):
A interview Tim con't make it so early in the
morning with Charlie and you.
Speaker 2 (08:36):
I mentioned earlier Tim he spoke to a year ago, right,
the that's actually the AI theorist, right, And she was
saying that more recently she'd done free lay. So she'd
asked her AI to describe her with increasing layers of
depth on layer two layer free layer and then to
(08:57):
write write I quote write A to her soul. Wow.
And she said that the letter moved her to tears,
which was really powerful. And it reminded me, Meghan of
the initial AI use case that you brought to the show.
Just what was a few months ago, right, which was
AI's first practical use case was as a therapist, wasn't it?
Speaker 5 (09:18):
Yeah? Yeah, oh yeah, when I wrote that article about
the Hills Rey of AI, yeah, it was. Yeah, it
was one of the first calling that model. AI was
probably overstating it, but yeah, yeah, but I think I
can't remember when that was. Sometime in the mid twentieth century,
they created a chatbot that could have therapeutic conversations. Basically,
(09:38):
it was very simple. It still exists somewhere online, just
by like asking you and why do you feel that way,
like just kind of spitting your statements back to you
as a question or a follow on. But people really
believed it and used it, and yeah, we know now
people are using chat ChiPT as their therapist and it's
causing all kinds of problems and it's definitely not a
strong use case for chat chupt, but it's.
Speaker 2 (09:59):
Being what are your favorite AI use cases personally? How
has it most changed your habits of work or life.
Speaker 5 (10:07):
I tried to only use chattypt at work. I try
not to use it in my personal life. I will
admit I used it to design my or I had
it write me out a training a nutrition plan for
my triathlon that I did, but that was just a
one time a one time used. But yeah, at work,
I think chetchibt is actually a pretty good marketing copywriter
(10:28):
for like basic stuff like I'll write me a landing
page for this, and if you give it detailed notes
and a detailed prompt in terms of the tone and
voice you wanted to use, who your target audience is,
what the purpose is of the content you're looking for,
it does a pretty good job of giving you something
you can edit into something that something a human might
have written. So I use it for that kind of
quick copywriting, I will admit, so I don't have to
(10:49):
do it myself, and that it has actually sped up
my ability to work quite significantly, right because copywriting takes time,
and it doesn't take chatchipat anytime at all. So being
able to just sort of stick a document of notes
in there and ask it to create something is really useful.
But I I am more of an AI skeptic probably
than a lot of the other people on the call,
so I try not to use it over much o A.
Speaker 3 (11:13):
Much lovely word, Megan, I don't hear enough. Yeah.
Speaker 2 (11:17):
Interesting, So yeah, you'll keep you're kind of keeping that
distance of your personal life kind of purposely intentionally.
Speaker 3 (11:23):
Right, very much so.
Speaker 5 (11:24):
Yeah, for several reasons.
Speaker 3 (11:25):
Yeah, yeah, yeah, yeah, all of which are good.
Speaker 2 (11:28):
What about you, Timmy, if you got a boundary in
there yourself or you Gong.
Speaker 3 (11:32):
Oh, no boundary, there's somebody there's some privacy boundaries, right,
you consider what what am I sharing? Right? I don't.
I don't put up my social Security number or personal information.
But I do use it as a creative collaborator. I
like the thought of not asking it to do my
work for me, but ask it to do some of
the thinking for me. Right, I use it as that
(11:53):
creative collaborator. My first I went back in my chat
history with chat giput and looked at my very first
question I ever asked it, and it was tell me
what digital employee experience is. It was years ago, and
it did a pretty good job at summarizing it. And
then I kind of got more and more advanced in
the queries and that the prompts that I would put in,
but I kind of broke it down into a couple
of different places. I use it in my creative writing,
(12:14):
much like Megan does. I use it to help me
break that writer's block. I'm sitting here, I have an idea.
I've got a couple of bullets. I know what I
want to talk about, but I just can't put the
thoughts together. So I'll upload what I'm thinking of and say,
give me ten bullets of how I can expand this topic. Right,
give me some creative ideas that I can then go
(12:35):
expand on, and then once I've got a draft that
I can upload that and ask it for changes to
readability or grammar or did I miss any ideas? Things
like that. Used it a little bit in creating the
Parallel podcast. Give me some themes for episodes that I
can then go expand on and write and then tweak
it from there. Use it a lot for summarizing documents. Right.
(12:57):
I took a whole bunch of our Q and as
from podcasts like this that we've had with guests, and
I asked it to summarize each one and then use
those summary bullet points for our sales teams to go
out and publicize the podcast. Here's what we talked about,
here's the themes, and then use it for some research.
And on the personal side, I've gone down maybe four
(13:18):
or five different rabbit holes on business side hustles. Here's
my concept, develop a plan. It comes back with a
full business plan, the funding model, the manufacturing, the revue models.
It's really especially if you tell it you are a
pro rich. That's what you got to say. Make me rich,
make me rich. What's the quickest the riches? Please? When
(13:40):
can I start?
Speaker 2 (13:41):
I do miss something in that, like you can take that,
you know, as an entrepreneurial advice.
Speaker 3 (13:46):
And so I've definitely done finance research, right, I'm here's
what I'm looking at doing with my K or my
IRA or my mortgage or give me some advice on
how to structure things, and it's it seems to be
pretty good.
Speaker 2 (14:00):
See Megan, this is where you've got to let it
into your personal life a little bit, you know, Thank you.
You the only person not handing a whole alsoul over
to the to the matrix.
Speaker 3 (14:13):
All right, all right, you'll be laughing, you'll be liking.
Told you a while back to The strangest interaction I
had with it was when I asked it what some
future roles of AI employees might be. How was a
guy going to impact new jobs? And one of them
the five that it listed was Deck's strategist and the influenteses.
Next to that those words it said, wink, wink, wink,
(14:35):
which kind of blew me away.
Speaker 2 (14:37):
Yeah, it's funny when it's cheeky. It's funny when it's cheeky.
You you know, look, we all have you know, we're
talking about so far pretty similar professional profiles. But what
about you know, especially maybe Tim and Dina, who have
a lot of connections to a lot of different professional
profiles inside the company, a lot of other experiences to
(14:58):
have us on the call as well, you know, has
any any colleagues maybe in product development specifically, maybe in
the development of some of these kind of AI centric
new products such as AI Drive or upcoming Spark or
such like, where You've been really struck by descriptions of
colleagues of how they're using using AI more generally in
(15:20):
innovative fashion. Timbers like, no way, I'm getting out of here.
Speaker 3 (15:24):
I don't have anything dropped.
Speaker 4 (15:26):
Okay, it's on new data, all right, So innovative way
of using AI. It's beyond the product and businesses. People
are more elevating their day to day tasks from becoming
doers to becoming orchestrators, to becoming more on a strategic
level to correlate and find the bits and pieces and
(15:46):
the time consuming tasks of doing research or looking for
better solutions, how tos, et cetera, and like Tim mentioned earlier,
asking it to think with me, give me ideas, inspire me,
remove that locker from here and there. This is where
the evolution of the jobs, let's say, is becoming. So
you'll have more and more into that aspect, becoming more
(16:09):
AI empowered in your day to day of work. Let's
just keep it on the work aspect. But you need
to be improving also the prompt literacy of some people
so they can be more more empowered, right and have
more instructions, chain out of thought, role playing such things
which now are becoming easier. You just do it. You
don't have to get to schedule a meeting with another
(16:31):
person from that other department to get their thoughts on
A B and C. You can AI your way into
it initially and then drill down later on on a
maybe different level of a conversation with someone else who
is more of a subject matter expert on that topic.
So that's one of those Well, that's one of those
use cases. What we get to see from that perspective.
Speaker 2 (16:53):
Very cool, Sean kind on the spectrum of AI intimacy,
Are you right? I imagine a bit like Megan, you
keep into yourself, You're keeping your you're keeping your boundaries there.
Speaker 6 (17:05):
A little bit maybe between Megan and Tim. I definitely
think it's helpful in the content creation and building out
an outline for certain things, both with work and outside
of work. Yeah, when it comes to creative writing or
communication or building a presentation, I don't know. I think
(17:26):
a lot of my communication with colleagues is always going
to be from me because they know who I am
and we have a history, and there's other dynamics that
it just works better. But yeah, for a certain copy obviously,
what you see on a organization or a company website
is probably going to always be mostly written by but
depending on Like you know, if you have a meeting
(17:48):
with ten people in a room and they sort of
know you, and there's one person you're trying to convince
a for a sale, I think that's mostly got to
come from the individual, from the person. I don't know
if that's the way to answer your question, but I
am outside of where creatively, I am absolutely terrified by it.
(18:09):
I don't think it's if you're going to start replacing
novels and movies and arts, then what's the point. So
hopefully we never.
Speaker 3 (18:16):
Get to that stage. But let's just I'll lead it there.
We got a patient temper. Yeah. So I was at
a partner event the other day in New York City
and one of the there's other vendor that are presenting.
It's outside of our space, but it was an intriguing
use case for AI. They were a physical security monitoring company.
So picture of video cameras, security cameras in the back
(18:40):
of a warehouse outside that look for intruders or things
like that. At two am. There's nobody there that you
could have one hundred monitors that you have to watch.
And what their aid did was look at video and
interpret what it was seeing. So, for instance, they showed
an example of somebody throwing away some trash and a
dumpster and the dumpster starts on fire. There's nobody there
(19:01):
to see that activity, but it recognized fire and was
able to dispatch authorities and put the fire out without
any human interaction. They were able to differentiate people loitering
versus people loitering with a crowbar getting ready to break
into the building. It was a really intriguing use case
for AI to help where almost in the context of
(19:22):
what we do analyzing so much data, quicker and more
effectively than any individual human ever could.
Speaker 2 (19:29):
It was pretty cool, excellent, excellent, all fascinating and strange times.
We're living through everybody strange times, strange times. And I
didn't even have to share my own strange experiences with this.
Well now it's the time in any depth, on any depth.
But I'm beyond the tim level. I'm closer to Sharlie
with her letter to my soul.
Speaker 3 (19:49):
You know, all right there, but listen, we are we
are releasing this.
Speaker 2 (19:55):
It is it is if I'm not mistaken, but from
the day I have planned to really this episode is
the is the twenty ninth of September, which is the
day before Experience London. Now, if you're a regular listener
to the show and you think, oh my goodness, I
didn't realize Experience London was coming up so quickly, don't
(20:16):
despair that they're it's it's still time, I think, to
get one of the final final tickets and to hopefully
clear things with your boss and get down there. So
and we have you know, the director of Experienced Content
across Boston and London, Megan with us to tell us
a little bit about London first of all, Meghan, and
(20:36):
then maybe you can see up Boston and when that is.
Speaker 5 (20:38):
Yes, yeah, no, definitely, definitely would love to. And yeah
for anyone who is listening to this especially and I
think if you liked this conversation and you're curious about
maybe innovative ways in which people are using AI or
new potential ways that AI could be influencing your work. Index.
The Boston event is October fourteenth and fifteenth this year,
(20:59):
two full days of content, another killer lineup. Please go
to the website and see who we've got coming to talk.
It's going to be really exciting. And of course the
big thing about Experience is you can meet a network
with all the other people who are as passionate about
rethinking and reshaping AI as you are it and AI
as you are. So it's a really it's an event
(21:20):
you shouldn't miss And if you are in North America,
maybe be happy for you to know that Neil deGrasse
Tyson is our special guest speaker in Boston this year.
So he's not an IT guy, but he is pretty
cool and we're all very excited to hear himhim talk
as well. So don't miss out. Please, whether you're in
the UK or you're in North America, come join us
next Think dot Com Slash Experience to get your ticket.
Speaker 3 (21:41):
There will be next.
Speaker 2 (21:42):
There will be Deck Show live episodes filmed as ever
on the Spotlight stage in both locations. So Tim and
I look forward to seeing hopefully some listeners in person.
We usually have some most conversations with listeners there, don't we, Tim?
Speaker 3 (21:56):
Yep. Yeah, it's always good to chat with people and
get their live kind of.
Speaker 2 (22:01):
Absolutely, you know, look a you know, if you follow
us on social media, why not share some of your
own weird and wonderful ways of using AI, your own
thoughts or trepidations, about the future of this technology in
or out of the workplace. And you know, if you're
interested in you know your your digital workplace team having
(22:22):
greater visibility, greater control, greater insight, greater ability to influence
the adoption and transformation that AI offers any organization, you've
got to look into AI drive. We're already drilling that
home the last few weeks, and you can find a
link in the show notes to that, as well as
all many of the other resources that we've already mentioned.
(22:43):
Just remains for us to say we hope to see many,
many many of you listeners in London or in Boston,
and we'll see you all soon.
Speaker 3 (22:50):
Guys.
Speaker 1 (22:52):
To make sure that you never miss an episode, subscribe
to the show in Apple Podcasts, Spotify your favorite podcast player,
and if you're listening on Apple Podcasts, make sure to
leave a rating of the show. Just tap the number
of stars you think the podcast deserves. If you'd like
to learn more about how next Think can help me
improve your digital employee experience, head over to next think
(23:12):
dot com. Thank you so much for listening. Until next time,
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