August 29, 2025 • 40 mins
Bradley Jay Fills in on NightSide
Whether it’s examples of deepfakes or chatbots with negative messaging, the public has its concerns over the future of AI. Is there anything to be worried about? Where is the line between reality and fiction when it comes to what we can expect with future development and progression of artificial intelligence? Matt Rosen is the CEO & Founder of Allata, a company that helps automate companies using AI. Matt checked in to address the fine line between reality and fiction when it comes to public perception of AI and its future.
Whether it’s examples of deepfakes or chatbots with negative messaging, the public has its concerns over the future of AI. Is there anything to be worried about? Where is the line between reality and fiction when it comes to what we can expect with future development and progression of artificial intelligence? Matt Rosen is the CEO & Founder of Allata, a company that helps automate companies using AI. Matt checked in to address the fine line between reality and fiction when it comes to public perception of AI and its future.
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Episode Transcript
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Speaker 1 (00:00):
It's night Side with Dan Ray on WBZ.
Speaker 2 (00:04):
He fast in his new radio.
Speaker 1 (00:07):
Rather JA four.
Speaker 3 (00:08):
Dan Ray, we're talking artificial intelligence and we have our
guests named Matt Rosenie's CEO and founder of a lot To,
a company that helps automate companies using AI are artificial intelligence,
and we spend a lot of time talking about the
negative side. Let's talk about some of the things that
(00:29):
artificial intelligence can't do. By the way, it's limited now
as I understand it because of computing power. While it's
highly increased, isn't what it really needs to be for
AI to become with the max itself out Once we
get to quantum computing, which folks, is another whole thing,
and it's not anywhere really near being ready, but it
(00:50):
will elevate the computing power exponentially and won't that Won't
that allow AI to do this game very stuff that
we say, oh, it can't do that now, and also
to do they're really good things like discover the cure
for cancers.
Speaker 2 (01:10):
Matt, was that a question? We'll quantum computing enable AI
to do even more? Yes, you know, we're still trying
to figure out how quantum actually works and what problems
it can solve. I think we're a good ways away
as we really understand how that type of competing works
and what problems we can feed it. But you did,
so I can't speak to that directly. But what I
(01:33):
can't speak to is how AI is being used for
good and helping organizations.
Speaker 1 (01:40):
Well, I'll give you some great examples.
Speaker 2 (01:43):
I'll give you some use cases. So you know, one
of the things we've been helping clients with is really
figuring out how do they plug AI into their organizations.
And one of the challenges that we have today is
the big software companies have their AI like Microsoft, Cove,
Hilt or Salesforce has their agents sap as theirs. Then
you have all these different model companies that have their
interface like chat, GBT what you use today or claud
(02:05):
and then you have lots of different software providers that
are coming up with their own little niche solutions, say
for recruiting, or say for sales outreach like sales agents
or things like that. But the challenge is for AI
to be super powerful for a company. Now, individuals are
using it, like the ninety percent of people are using
AI for something for personal productivity, but when they walk
into work. It's very rare that AI is hooked into
(02:26):
all their data systems and process and so one of
the things we're helping companies with is creating internal frameworks
to safely pull data in use the models where they
need them, or use models that are completely disconnected from
the Internet, so they can safely use their data and
the information they ask their data as an advantage. And
so a great example of this is We've got a
(02:48):
client in the life insurance space, and when someone doesn't
get the full amount of a policy that they apply for,
some an agent that has to go to like fifteen
different systems and create an email and then they have
to send that out to the person and say, hey,
you applied for three million rolling and you give you
two million. Here's all the reasons why. And it can
be a lot of different reasons. And the later it
gets in the day, sometimes the crankier that customer service
(03:11):
person becomes and then emails don't get sent or they
might have a rude tone. And so what we did
was we used AI to pull information from all these
different systems and craft that email. Now that person still
reviews it, still check the systems, make sure it's right,
but it's all created for them and then they just
send it off and then they deal with your higher
level problems versus going to a bunch of systems to
create an email, which is not a very fun thing
(03:31):
to do.
Speaker 1 (03:32):
So it hasn't a great example. Great example, and the
other examples. What about a company, what about saying newspaper?
How might they use you know.
Speaker 2 (03:43):
They might use it to create articles or synthesize articles.
One other case setting that I'm really excited about. We
have a company that has is really big in the
data center space, which obviously everyone's building data center is
to power all this AI. And you know their product.
They've hired tons of salespeople and have tons of technical
people that help their data center clients pick the right
(04:04):
cabling for their needs. But they've got over a million products.
It's really hard for any human to know what product
to recommend when you have a million products, and so
we built them the ability to chat with all their
product information so they can quickly serve their clients because
they have AI that helps synthesize the information. And they're
not reducing any amount of people. They're just able to
(04:25):
help out me more clients and make sure they get
them the right product that's going to fit in their
environment and serve their needs. So those are two examples
where AI is doing really routine, kind of boring work
and helping people almost be superhuman in the amount of
emails they can send or you know, calls they can
make to help a client select a product because they've
done AI doing all that gruntwork for them.
Speaker 1 (04:44):
That makes a lot of sense.
Speaker 3 (04:45):
Can AI now write newspaper articles?
Speaker 2 (04:49):
It is writing newspaper articles.
Speaker 3 (04:51):
That's what I was wondering about. Let me tell you
something that it does. It affects me, and not not
in a great way. I consume a lot of podcasts
when I try to go to sleep, I'll consume, you know,
the biographies of philosophers and history of the evolution of
(05:14):
human beings. And it's a good thing to go to
sleep too. And I hear the voice, and the voice sounds.
Speaker 1 (05:21):
Usually they usually they have an English accent.
Speaker 3 (05:24):
The world have decided that English accents where it's at
when it comes to these kind of educational podcasts.
Speaker 2 (05:29):
Yeah, they sound great. You always listen when you're an
English accent, for sure.
Speaker 4 (05:32):
I do.
Speaker 3 (05:33):
Yeah, And so I get all settled brush my teeth
and get crawling in the bed the clean sheets. I
feel great, and I'm going to settle in and listen
to how Neanderthal Man rose and fall fell. And I
hear this voice and I started. I bombed with the voice.
I think this person's great. And then they give themselves
(05:54):
away as an AI voice. They say something just that
you would never say that. They may stop a sentence
in the wrong place and then start it up in
the middle of the next sentence, or say things like
instead of President Reagan, they'll say President Reagan.
Speaker 1 (06:11):
Oh fake.
Speaker 3 (06:13):
And it bothers me and it's hard for me to
even find now real voices on those podcasts, And I thought, wow,
that must be putting voiceover people out of work, like
crazy Caama.
Speaker 2 (06:26):
Correct, well, that's why you saw everyone on strike in LA,
you know, to make sure that's all the artists, copywriters, producers,
you know, couldn't get their work taken away by AI,
and so you know there is that risk. But you know,
the AI still doesn't sound that great. I think people
still want to talk to humans in certain instances, but
(06:49):
if you want to say, check on flight status or
something simple, I'd rather talk to a robot. But if
I have a very difficult problem, I want to talk
to a human, you know, that knows what they're doing.
And so I think the AI voices for like podcasts, transcriptions,
they're going to get better, but they're never going to
sound quite like a human, or at least not to
(07:09):
not to ariars. Maybe people that grow up with it
won't know the difference.
Speaker 3 (07:13):
So if they do get to be as good as
human and they just sound like a wonderful English gentle person,
do you want that?
Speaker 1 (07:21):
Do you do you want to be fooled?
Speaker 3 (07:22):
Do you want to be listening to a machine even
though it sounds like a human, or do you take
some comfort in that as a human being? A little
sound booth reading.
Speaker 2 (07:31):
This, well me personally, i'd rather know it's a human.
But for something like that. But I think there's going
to be a generation that grows up. You know, my
kids today, I don't know they're going to know any different.
You know, they're growing up listening to artificially intelligent voices
and they might not have the same discerning ear that
we do. So it may just become accepted as commonplace. Right,
(07:52):
We've got a client that has a huge call center
and they're to having agent's voice. Agents take fifty percent
of their calls, right, and they're finding that they are
doing a better job than some of the people that
were taking.
Speaker 1 (08:03):
That's the thing, a better job.
Speaker 3 (08:04):
At least the AI could be trained to be cheerful
when it's doing customer service.
Speaker 2 (08:08):
Now, back to those podcasts exactly.
Speaker 1 (08:11):
Back to those podcasts.
Speaker 3 (08:13):
Some of them are three and a half hours long,
and it occurs to me that, hey, wait a minute,
maybe this isn't even being written by a human.
Speaker 1 (08:21):
Maybe somebody like me.
Speaker 3 (08:23):
When I talk to chet GPT to draft some text
from me for say, to put with a video I
post on my YouTube travel channel, I use AI to
generate that text. Why couldn't AI be easily instructed to
You could say, hey, chat GPT, please create a fifty
(08:46):
thousand word podcast that follows the evolution of Neanderthal man
when they first broke away from their common ancestor until
they disappeared, and concentrate on this, on this event, and
this event and this, you know, concentrate on their bone structure,
(09:10):
and concentrate on their habits, and concentrate on what they ate.
Wouldn't chat GPT or another bot be able to do
that right now, and maybe that's what I am listening to.
Speaker 2 (09:22):
Theoretically, it could create that long of content. Three and
a half hours is a pretty long time and that's
a lot of information at searching. And I don't think
that English speaking podcasts are talking about neanderstrong Manner is
going to be as exciting as content as someone who
actually did that for real. And you know, you as
the human in the loop, you know, need to evaluate
that podcast and like, hey, how many people, how many
(09:45):
people have watched this? Is this useful? That's where reviews
and then of course you get a AI go create
a bunch of fake reviews. But I mean, I have
a podcast all the grit mindset, and I have it
on video because I want people to see me talking
to another human being, and that's that they take it
and get a synthesis. They could.
Speaker 3 (10:00):
Yes, pretty soon, face to face is going to be
the only way you'll be able to believe what you're here.
Speaker 2 (10:08):
Because it could people are going back to the office
in robes, people go to any restaurant it's full. I
think humans crave that face to face interaction. Then I
do think there's going to be a lot more of
it back to what we heard from one of our
listeners earlier, whether there's a deep face on the voyd
over the phone, how do you know as you're talking
(10:28):
to is truly that person without a safe word or
some sort of security. So I do think this may
actually drive a return of you know, working from home
to having people back in the office and back meeting
up face to face. And you know, that's something I
welcome in something I've missed out on that interaction over
the last few years.
Speaker 3 (10:45):
Is there anything that you would like me to convey
about what you do that I haven't not yet done
before we before I say goodbye to you.
Speaker 2 (10:53):
Well, thank you so much for having me on the
show and allow me to share insights and answer questions
from the listeners. I think if you have folks out
there that are listening this evening that are have an
organization and they're trying to really understand how to adopt AI,
but they're almost in what I call the fog of
war because there's just so much information and so much
change and so much coming at them and they're not
even sure where to start. I think what we do
(11:15):
a very good job of is helping organizations look at
what they do for a living, understand their systems and
data that they have in place today, and come up
with ways and business use cases where they can use
AI effectively, safely, productively, and really help make their organizations
(11:36):
better and give them a competitive advantage by helping them
do it AI within their walls in a safe, secure manner.
That's what That's what we're really doing for a living,
is helping people through this adoption curve, which is which
is it's challenging to figure out how to get AI
infused into your organization and your daily workflow and process
and data end systems. And that's what we're really good
(11:56):
at it. It's helping companies that are on that journey.
Speaker 3 (12:00):
It seems like the examples you used show that you
could make your company much more productive, make your workers
much more productive by having AI do the repetitive drudgery
so they could do the more human oriented things.
Speaker 2 (12:17):
That's absolutely right. They can free up people to do
the more human tasks, work on their soft skills, you know,
have tough conversations, things that humans are truly good at.
But if you're writing the same report over and over
or just researching information summarizing it, those things are better
left to AI and that routine and boring work can
be left aside and focus on more exciting things and
(12:39):
spending time face to face or taking a client to lunch,
or spending time researching your something interested in. I think
we're in for a huge productivity gain as a society.
We took the review writing task we do internally, took
it from a day to an hour, and now mentors
have more time to spend with their mentees going through
the contents of the review and making them better consult
(13:00):
versus writing the review, which used to be very painstaking
and difficult. So I think it has a lot of
great and practical uses. We talked about some of the downsides.
I'm an optimist. I view this as a positive technological shift.
But like every revolution we've had in our world, people
always are scared. It's going to take their jobs, it's
going to take over the world, it's going to change everything.
And it's never quite as bad as we think it's
(13:20):
going to be. It's never quite as good as we
think it's going to be either.
Speaker 3 (13:23):
Thank you, and folks, you may think that your organization
is really too small to benefit from something like this.
I don't know if you're maybe even a town, maybe
if you're an officer in a town, a company.
Speaker 2 (13:36):
Well, we're talking to several many unicipalities about using our
AI framework to help their citizens right now, actually help
in one of the departments of transportation in one of
the southern states. So you can reach me. I'm Matt
Adalida dot com and our website wwwdalia dot com. So
I'd love to hear from anyone who wants to learn more.
Speaker 1 (13:56):
Okay, and Alida is spelled correct me if I'm wrong,
A L L.
Speaker 2 (13:59):
A T A. You got it.
Speaker 1 (14:02):
Okay, thanks so much for your time.
Speaker 2 (14:05):
Yeah, thanks for having me on the show this evening.
Have a great Labor Day weekend.
Speaker 1 (14:08):
Absolutely.
Speaker 3 (14:08):
Now I'm not I'm going to continue on this because
I'm going to tell you some ways that I use it,
and I'm going to go through some applications that I
believe use AI to do things like make music and
we'll talk about whether that's really music. Make art, we'll
talk about whether that's really art to you. And also
to make fake graphics that you can post on social media,
(14:34):
et cetera. There are a lot of offshoots out there
that you don't know about. Yet and I only learned
about today as I started to research this. So I'll
continue with that in a moment on BZ.
Speaker 2 (14:45):
You're on Night Side with Dan Ray on WBZ Boston's
news radio.
Speaker 3 (14:52):
I am going to continue talking about AI a little
bit in the way I've adopted it and maybe how
you can adopt it. First, if I want to tell
you that if you're you know, a tech shy person,
you're gonna you're gonna love this AI business because it's
super easy. It's the world's easiest thing. There's nothing to
(15:13):
figure out. I use chat GPT and I got the
apaid version of it, so it's just one above free,
so it's not that not that good. And let me
tell you how I use it and perhaps you can
use it too. But first I want to explain how
simple it is.
Speaker 1 (15:31):
You I just what away.
Speaker 3 (15:33):
I have signed up and I could have the icon
and my menu bar. I don't, but if I did,
you just hit that and opens up and as a
window you type something in just like Google, but it's different.
Speaker 1 (15:48):
You can also talk to it. With my version, you could.
Speaker 3 (15:53):
You don't have to type it, which is good for
me because I'm a talker, not a typer, as you
might have guessed. So I will say, I'll open it up,
I'll hit the little microphone, I'll enable the voice, and
I'll say, hey, shat GBT, can you do this for me?
And some of the things I have do for here?
(16:13):
Write text? Do you have to write letters to people?
Do you have to make do you a person that
posts online a lot?
Speaker 1 (16:20):
What I use? I write texts for my videos. I
have a travel a travel channel on.
Speaker 3 (16:27):
YouTube, and with each post you need to write some
text and you need to optimize it for search engines
as well. So since I do not like typing, I
just I will say, let's say warsaw poland I'll just
open it up. And instead of hunting and pecking and
(16:50):
typing and having typos and correct it and taking forever
and really not understanding how a search engine optimization works,
how to do it right, I simply say hey, good morning,
chat GPT, and there's this unbelievably real voice friendly you
(17:13):
can choose your voices I have.
Speaker 1 (17:15):
I just went with a default guy.
Speaker 3 (17:16):
He's a male, say hey chet GPT, and then a
real conversational voice to say, well, how can we help
you today?
Speaker 1 (17:23):
It sounds it's super real.
Speaker 3 (17:25):
It's not machine sounding at all, and you actually believe
it or not. Start to develop a relationship with this entity.
And I say, chet GPT, can you do me a
favor and write a text to go with my YouTube post.
(17:45):
Be as specific as you can to go with my
YouTube post on Warsaw Poland, and please concentrate on the
charming old town, the delicious foods that are specific to
that area, and please include a lot of history on Warsaw,
especially the World War two era.
Speaker 1 (18:08):
And it'll say okay, boo boo boo.
Speaker 3 (18:12):
In maybe three seconds, it's there, and I just copy
and paste it into the description box in my video
rather than spending twenty minutes and still having typos. And
one of the huge things for me is it's grammatically
and it's correct, and it's spelled correctly.
Speaker 1 (18:30):
I don't have to worry about that.
Speaker 3 (18:32):
I'll have to do is read it over and make
sure that chet GPT really understood me. Then not only that,
if the voice will say, how's that you need any more?
Speaker 1 (18:47):
Do you want to get more specific? And I say,
I tell you what?
Speaker 3 (18:49):
Can you talk more about the main street name so
and so Street and the history of that street and
drilled down onto a particular restaurant that's on that street.
I forgot to tell you that chat DBT no problem.
Speaker 1 (19:04):
Boo boo boo. There it is anything else and you
can you fine tune it.
Speaker 3 (19:10):
And it's you get this beautifully written, extremely detailed text.
Speaker 1 (19:17):
You just copy and pasted any description in YouTube.
Speaker 3 (19:20):
And since I said, oh, I asked it to please optimize,
put put in keywords and optimize for search search engine optimization.
They're in there too. Hashtag this hashtag that, all these keywords.
It's fantastic. I can't remember how much it is, but
it's not much. I spend more on coffee, that's for sure.
(19:42):
And I'm sure it does other things that I am
not using it for now.
Speaker 1 (19:48):
But try it out. And even if you are.
Speaker 3 (19:55):
Self proclaimed luddite, this might be way you leap frog
ahead skip all that other stuff. If you can open
a laptop sign up for one thing chat GBT, you have.
It's just spectacular. So you run Facebook, right, and you
like to post on Facebook, but maybe you hate checking
(20:19):
over for spellings and it's maybe it's a pain to
type it out. Boom, create a text for your post
in Facebook and then just copy and paste it in.
Speaker 1 (20:30):
It's unbelievable and it's subdunning to me. How the it's
not like Siri to me. It's much more.
Speaker 3 (20:43):
Friendly to me, the voice you interact with when you
use the voice activated version. See I try it out,
and I don't know for sure, but I'm guessing you can.
You can get rid of it at anytime if you don't
like it.
Speaker 1 (20:57):
It's a really, really valuable tool. And they're in related angle.
Speaker 3 (21:07):
There are separate applications for those of you want who
get more adventurous that will. They are specifically designed to
make fake news headlines that will I guess they take
look like a front page I'm guessing, or an article anyway,
And I'm sure you can have it include photos because
(21:29):
you entering entering into a whole world of legal unknowns
when you start using photos that you didn't take in
fake news articles. Maybe you can get sued, but who knows.
It's a wild west. I myself would air on the
side of caution and I would only use photos that
(21:51):
I took, but a lot of people don't care. A
lot of people put copyrighted music in their YouTube video.
I didn't think you were supposed to do that, but
no one seems to care.
Speaker 1 (22:03):
So I will give you.
Speaker 3 (22:04):
I'll run through some of these other apps you may
not know about to do specific AIE types of things
after this on WBZ.
Speaker 2 (22:16):
It's Night Side with Dan Ray on WBZ Boston's news Radio.
Speaker 3 (22:21):
You know, it's getting increasingly important that you get your
news from a trusted source like WBZ News Radio ten thirty.
And one of the reasons I'm saying that is because
almost anybody out there is soon going to be able
to create fake, believable looking news headlines, and you've got
to make sure you checked the source and again, get
(22:45):
your news from a reliable source from now on, like
WBZ News Radio ten thirty. You know it, you trust it,
You recognize the voices, because there are these apps out now,
AI based types of apps that can do the following,
and I even have the names of them. These are
(23:05):
and I believe it or not, I use chat GBT
five to find this fun and satirical headline generators, this
one called break your Own News. And I only give
you these so that you know that the technology is
out there to deceive you, so beware.
Speaker 1 (23:25):
Soon you won't be able to.
Speaker 3 (23:26):
Believe anything unless you look at your radio dial and
you see, oh, it's on ten thirty or something like that.
If you're online, be very careful, make sure you try to,
you know, check that URL, do what you can to
verify it. So Break your Own News is a breaking
news generator. It's a web tool where you can upload
(23:47):
a photo, write a headline, a ticker, then style it
into breaking news layout. Great for humor or powerdy use
yeah or for Deceivinges is another one that's an iOS
that's a Mac thing create playful headline designs with adjustable title, subtitle,
(24:08):
et cetera. But another one, breaking News Memes for the
Android platform, offers a live in breaking news style templates
to overlay headlines, et cetera. And you can do that
with news stories or just There are other applications that
will allow you to.
Speaker 1 (24:27):
Make sort of deep fake.
Speaker 3 (24:30):
Graphics of people doing things they're not really doing. It
looks like them doing things they shouldn't and you could
you could even be extorted with something like that. It's
really dangerous, so beware unless you know the source, unless
it's a trusted source, be very skeptical.
Speaker 1 (24:54):
We heard this very sad story of.
Speaker 3 (24:56):
One of our friends out there in bus and got
a call from someone who said basically was saying, your
relative's been in a disaster, we need money, deliver the
money here.
Speaker 1 (25:10):
And they actually used.
Speaker 3 (25:13):
An AI generated version of their relative's voice. That is
a common thing, by the way, and the guests, did
you hear the guests have said the most valuable thing
I've heard in a long time his family. He said
it very quickly and you might have missed it, but
this is something your family should do. You have a
(25:34):
safe word so that the whole family knows it. And
if something like this happens and it's genuine the voice,
will you will say to them, all right, what's our
family safe word? And if it's AI generated fake, they
won't know that safe word, so do that. You might
(25:58):
think it wouldn't happen to you.
Speaker 1 (25:59):
Will it certainly good? And what are you going.
Speaker 3 (26:02):
To do if you hear that voice and you don't
know not send the money out there?
Speaker 1 (26:07):
Also?
Speaker 3 (26:08):
I guess you would be pretty uh skeptical, skeptical if
the funds are being delivered by uber driver, but have
a family safe for it.
Speaker 1 (26:20):
It's now it's Daryl in New Brunswick. I'm guessing can
that is that true.
Speaker 4 (26:27):
Uh yeah, it's spelled with a seed, not a kid.
All right, I know, bad joke, great, Yeah, no, it's
a fine joke.
Speaker 1 (26:37):
I like the joke, just fine.
Speaker 4 (26:40):
Uh no, it's just the way all this, even Crown
Royal Bottling is going to go down to Alabama. I
guess I did.
Speaker 1 (26:49):
I did not know that.
Speaker 4 (26:51):
Okay, that was something new the other day. But anyways,
it's still Canadian whiskey. But went off topic. You were
talking about how people try to confuse you, right, And
I called my bank today and it's an international bank.
(27:12):
And from there it was I was trying to just
pay my bills. I was able to pay certain bills,
but I wasn't allowed to pay certain bills. And the
problem is is you don't know whether you're talking to
somebody who was actually able to talk or AI.
Speaker 1 (27:38):
So you were not at the bank.
Speaker 3 (27:39):
You were on the phone, correct, Yeah, yeah, who even
if you make the call, who knows. Maybe your call
got redirected and maybe you tried, maybe you searched online
to get the number and you were given you got
the wrong source. That happened to me once I thought
I was buying tickets to Tel Aviv from l airlines
(28:03):
one hundred percent.
Speaker 1 (28:04):
Not that was the case.
Speaker 3 (28:05):
But it turns out I was buying it from some
third party.
Speaker 1 (28:09):
It just kind of fooled me. It was it was
bad news.
Speaker 4 (28:13):
Well, oh, this is the bank that I call every
month you pay my bills, right, and but it's I'm
not being rude, but it's when you have people that
don't command a certain language, uh, and they're trying to
sell you'll and so to deal with you as a customer.
Speaker 3 (28:33):
So you're saying, let me see if I understand you
call the bank, and the person on the other end
was someone that's not It's native language is different than yours. A,
so you had trouble understanding.
Speaker 1 (28:44):
And B they were trying to sell you stuff.
Speaker 4 (28:48):
Well, they were trying to keep you on and trying
to work you through different stuff, say I E on
the internet and saying it's more secure if I do
it myself. And so therefore you actually questioned the bank security.
Speaker 1 (29:03):
Oh, they wanted you to go to their website and
do it there.
Speaker 4 (29:07):
They'd walk you through how you do it online, all
that stuff.
Speaker 1 (29:11):
Right. Yeah, they want trying to get rid of people.
The more stuff you do online, the more people they
can fire.
Speaker 4 (29:17):
But the kicker is is my understanding is banks are
recording record profits, right, So hopefully we go back to
the old.
Speaker 1 (29:30):
School and what would that what would that look like?
Speaker 4 (29:34):
That would be people talking to people and actually dealing
with stuff. And if you did not want to deal
with a computer, you can actually deal with somebody you
can talk to.
Speaker 1 (29:43):
So you drive down to the bank, you mean.
Speaker 4 (29:46):
Or no, it's when you even nowadays, if you look
up banks, they give you a national number instead of
the local numbers, so you can't even talk to measure.
Speaker 1 (29:58):
Don't you hate that? I hate that. I tried to book.
Speaker 3 (30:03):
A local hotel, but with the booking numbers national, so
I get somebody that has no clue that their their
way out in Amarillo or something, and it is, uh,
it's a kind of a bummer.
Speaker 4 (30:15):
Yeah, well, well here's a kicker, ironically what you're talking about.
There was a coke truck, you know, I you know,
we had the trailers going by the Semis and they
have cooke on it and the guy's spring broke on
the eighteen whaler right in front of my property on camera.
Speaker 1 (30:36):
Wow.
Speaker 4 (30:37):
My first thing was safety and thinking about other people,
and so I called the coke number, and I got
shipped down to Atlanta and ironically they they actually got
a hold of the driver and I actually found out
he was just around the corner at the gas station
dropping off some more coke. So I gave him the
(30:58):
pieces of the leaf spring that look off this trailer.
Speaker 1 (31:01):
Well there you go, this one on one. That's good.
Speaker 4 (31:05):
Well, no, it's the old common sense, like you know,
it's a you know again, that's why listening to you
guys show, it's awesome.
Speaker 3 (31:15):
It's old school, right, it's real, it's tense, it's practically tangible,
it's you know, it's real.
Speaker 1 (31:20):
And I love that, love it.
Speaker 4 (31:22):
Well, the kicker being, The kicker being is what you
just said as well, to back you up and Dan
and whatnot. And it's even on holidays, you guys are
on air.
Speaker 1 (31:34):
My god, by gy. I love that.
Speaker 3 (31:37):
It's one of the it's just one of the wonderful
real things that still exist.
Speaker 4 (31:43):
Thanks so much, you know you well, but you know
people are out there listening to you guys.
Speaker 1 (31:49):
That's right there.
Speaker 3 (31:50):
Well, thank you so much, and hi to everybody and
New Brunswick. Two questions for you for the last twelve minutes.
It's going to wrap up this AI business. I make music,
I buy music stuff and somehow the algorithm knows that
they know, and so I get flooded with offers to
(32:10):
buy things, including software. So now more and more I
get these pictures to say, hey, songwriters, let AI write
your music. Let AI write your song. It's amazing. And
there are equivalents for art. They are AI programs to
make art. And the very hard and real question is
(32:34):
is art generated by AI?
Speaker 1 (32:37):
Art?
Speaker 3 (32:38):
Of course, it depends on your definition of art, but
I will define it as something made by a human being,
the reason being part of the appreciate edentupression. Appreciation of
art is to appreciate the skill of that human given
the frailties of the human and the limitations, how that
(33:00):
person has transcended those and refined the skills to create
this beautiful object or this object of art. And if
a machine does it, it ain't art to me, folks.
Folks will argue both ways, but for me, of course,
again it's about the definition of definition. If a human
(33:22):
didn't make it, it's not art. Would you agree with
with me on that same thing?
Speaker 1 (33:28):
With music? Could you be a fan.
Speaker 3 (33:31):
Of a band that's music was made by AI or
somebody where Quincy Jones said, all right, ay, I I
want to hit song. I want to hit song about
country living and fast cars and whiskey and beer and divorce.
(33:52):
Make it a country song and use these keywords divorce, divorce,
insurance's and then in seven seconds you have a song written.
Then you can say, then you have that those lyrics
and you can say, okay, we have these lyrics here, AI,
why don't you, you know, create a song around that.
(34:13):
I'd like it to be in a country style with
verse chorus, verse chorus, break, verse chorus, chorus, and I'd
like it to have a stand up bass guitar, I
mean a stand up bass and a let's say a
(34:34):
Fender guitar, and what kind of drums tama drum set?
Speaker 1 (34:42):
Is that art?
Speaker 3 (34:43):
No, that's where we're going, And what are we gonna do?
How are you gonna know that your music that you
buise was generated by real humans and you're not, and
as a result, our lives get are diminished. And if
you really want, I don't want to be too down,
(35:04):
but it's in my estimation this is pretty down. But
now that I've started, and I have to say it
the world can end, Human life can end in a
couple of ways, hit by an asteroid, and we destroy
ourselves with nuclear weapons. I think that the latter is
the one that's gonna happen.
Speaker 1 (35:22):
Not gonna take that long.
Speaker 3 (35:24):
One side is gonna be fooled into things that the
other side has launched the first strike. They're gonna launch
their weapons and it's over. That's what's gonna happen. And
I don't think it's that far away. Thoughts on that?
Speaker 1 (35:36):
Is that a likely scenario for you? Do you worry
about that?
Speaker 3 (35:40):
And is AI generated art really art? Is AI generated
music really music? No?
Speaker 1 (35:47):
It's not art. No, it's not music as far as
I'm concerned. What do you think? It's WBZ, It's.
Speaker 2 (35:52):
Night Side with.
Speaker 1 (35:56):
Boston's news radio.
Speaker 3 (35:58):
That's right, Bradley J for Dan Ray little while, I'm
gonna teach you how to lie, because it seems the
truth is not a thing anymore, and really, the folks
that lie get ahead. So I'm going to give you
some lying lessons, and I'm also going to ask you
when it's okay to lie. There are certain times when
it's okay to lie. So that's coming up. But first
(36:18):
we have Eric in Attleborough, Okyoki. Eric, Let's uh, let's
find out what's on your mind?
Speaker 1 (36:24):
Brother? What's up? Hi?
Speaker 4 (36:27):
Eric?
Speaker 1 (36:30):
Hope Eric's gone. I will get right to the lying part.
Speaker 3 (36:34):
You see, all my life have been a terrible liar,
terrible bad liar, no good at it as a matter
of fact. In fact, someone I tried to lie to said,
you know I was young, he said readily. As you
go through life, don't lie because you're a terrible liar.
So I don't lie. But that's that is a liability.
(36:57):
In today's society, being able to lie well seems to
be an asset. As you know, a politician cannot get
elected by telling the truth. And it seems the more
the bolder, the wilder the lie, the more it's accepted.
(37:20):
And cable news, you look, you don't know what to believe.
You watch one source completely different reality than another source.
Is there any truth anymore at all? Maybe trying to
tell the truth is just some quaint old thing that
will just get you beat up these days. Maybe you
(37:41):
want to teach your kids how to lie properly? So
what should I do first? I guess that I'll address
times when it's okay to lie and I ask you,
do you have an example of when it's okay to lie?
And maybe at time you told the true ruth that
you regret. He thought, I'm gonna I'm gonna be honest
(38:06):
and you regret it. People will put you down for
you be honest, but really, in real life it can
be a liability. So I've sat down and thought about
today when it's okay to lie? And see, I want
to see what you think as well. So six one, seven, two,
four thirty is it okay to lie? When is it
(38:30):
okay to lie? And have you had bad luck telling
the truth? At some point, maybe your wife or husband
or someone close asked you, how does this haircut look?
Speaker 1 (38:46):
How does this dress look? How do these pants look?
How do these product shoes look?
Speaker 3 (38:52):
Okay, when it's okay to lie in everyday life, line
can be the kind thing to do. Okay, Well, I
was always taught honesty is the best policy. Is that
right or wrong? Was it right or wrong? Then?
Speaker 1 (39:05):
Is it right or wrong? Now?
Speaker 3 (39:09):
I think that in order to spare feelings alive is okay?
Speaker 1 (39:14):
After all?
Speaker 3 (39:15):
What's more important to you avoid making a person feel
bad or to tell them the truth? It depends like
someone says, do I have spinach in my teeth? And
if you say no, they do, They're going to go
out to the big job interview and not get it. Therefore,
you'd be better off telling them, yeah, you better get that. Yes,
(39:37):
you do have spinach in your teeth. Yes, that dress
is not complimentary. You are fabulous, but that those genes
do not They are not good looking on you. They're
not flattering. That's a good way to put it, So
to spare feelings. Compliment a friend's haircut even if you
don't like it, even if they didn't ask.
Speaker 1 (39:58):
That's a great haircut, but don't be ridiculous about it.
Speaker 3 (40:01):
Hey, And then don't be don't say hey, nice hair cut,
because that sounds sarcastic. Okay, another time, when it's okay,
oh I need to I need to go now. But
I will continue with when it's okay to lie. Right
after this on w b Z,
It's night Side with Dan Ray on WBZ.
Speaker 2 (00:04):
He fast in his new radio.
Speaker 1 (00:07):
Rather JA four.
Speaker 3 (00:08):
Dan Ray, we're talking artificial intelligence and we have our
guests named Matt Rosenie's CEO and founder of a lot To,
a company that helps automate companies using AI are artificial intelligence,
and we spend a lot of time talking about the
negative side. Let's talk about some of the things that
(00:29):
artificial intelligence can't do. By the way, it's limited now
as I understand it because of computing power. While it's
highly increased, isn't what it really needs to be for
AI to become with the max itself out Once we
get to quantum computing, which folks, is another whole thing,
and it's not anywhere really near being ready, but it
(00:50):
will elevate the computing power exponentially and won't that Won't
that allow AI to do this game very stuff that
we say, oh, it can't do that now, and also
to do they're really good things like discover the cure
for cancers.
Speaker 2 (01:10):
Matt, was that a question? We'll quantum computing enable AI
to do even more? Yes, you know, we're still trying
to figure out how quantum actually works and what problems
it can solve. I think we're a good ways away
as we really understand how that type of competing works
and what problems we can feed it. But you did,
so I can't speak to that directly. But what I
(01:33):
can't speak to is how AI is being used for
good and helping organizations.
Speaker 1 (01:40):
Well, I'll give you some great examples.
Speaker 2 (01:43):
I'll give you some use cases. So you know, one
of the things we've been helping clients with is really
figuring out how do they plug AI into their organizations.
And one of the challenges that we have today is
the big software companies have their AI like Microsoft, Cove,
Hilt or Salesforce has their agents sap as theirs. Then
you have all these different model companies that have their
interface like chat, GBT what you use today or claud
(02:05):
and then you have lots of different software providers that
are coming up with their own little niche solutions, say
for recruiting, or say for sales outreach like sales agents
or things like that. But the challenge is for AI
to be super powerful for a company. Now, individuals are
using it, like the ninety percent of people are using
AI for something for personal productivity, but when they walk
into work. It's very rare that AI is hooked into
(02:26):
all their data systems and process and so one of
the things we're helping companies with is creating internal frameworks
to safely pull data in use the models where they
need them, or use models that are completely disconnected from
the Internet, so they can safely use their data and
the information they ask their data as an advantage. And
so a great example of this is We've got a
(02:48):
client in the life insurance space, and when someone doesn't
get the full amount of a policy that they apply for,
some an agent that has to go to like fifteen
different systems and create an email and then they have
to send that out to the person and say, hey,
you applied for three million rolling and you give you
two million. Here's all the reasons why. And it can
be a lot of different reasons. And the later it
gets in the day, sometimes the crankier that customer service
(03:11):
person becomes and then emails don't get sent or they
might have a rude tone. And so what we did
was we used AI to pull information from all these
different systems and craft that email. Now that person still
reviews it, still check the systems, make sure it's right,
but it's all created for them and then they just
send it off and then they deal with your higher
level problems versus going to a bunch of systems to
create an email, which is not a very fun thing
(03:31):
to do.
Speaker 1 (03:32):
So it hasn't a great example. Great example, and the
other examples. What about a company, what about saying newspaper?
How might they use you know.
Speaker 2 (03:43):
They might use it to create articles or synthesize articles.
One other case setting that I'm really excited about. We
have a company that has is really big in the
data center space, which obviously everyone's building data center is
to power all this AI. And you know their product.
They've hired tons of salespeople and have tons of technical
people that help their data center clients pick the right
(04:04):
cabling for their needs. But they've got over a million products.
It's really hard for any human to know what product
to recommend when you have a million products, and so
we built them the ability to chat with all their
product information so they can quickly serve their clients because
they have AI that helps synthesize the information. And they're
not reducing any amount of people. They're just able to
(04:25):
help out me more clients and make sure they get
them the right product that's going to fit in their
environment and serve their needs. So those are two examples
where AI is doing really routine, kind of boring work
and helping people almost be superhuman in the amount of
emails they can send or you know, calls they can
make to help a client select a product because they've
done AI doing all that gruntwork for them.
Speaker 1 (04:44):
That makes a lot of sense.
Speaker 3 (04:45):
Can AI now write newspaper articles?
Speaker 2 (04:49):
It is writing newspaper articles.
Speaker 3 (04:51):
That's what I was wondering about. Let me tell you
something that it does. It affects me, and not not
in a great way. I consume a lot of podcasts
when I try to go to sleep, I'll consume, you know,
the biographies of philosophers and history of the evolution of
(05:14):
human beings. And it's a good thing to go to
sleep too. And I hear the voice, and the voice sounds.
Speaker 1 (05:21):
Usually they usually they have an English accent.
Speaker 3 (05:24):
The world have decided that English accents where it's at
when it comes to these kind of educational podcasts.
Speaker 2 (05:29):
Yeah, they sound great. You always listen when you're an
English accent, for sure.
Speaker 4 (05:32):
I do.
Speaker 3 (05:33):
Yeah, And so I get all settled brush my teeth
and get crawling in the bed the clean sheets. I
feel great, and I'm going to settle in and listen
to how Neanderthal Man rose and fall fell. And I
hear this voice and I started. I bombed with the voice.
I think this person's great. And then they give themselves
(05:54):
away as an AI voice. They say something just that
you would never say that. They may stop a sentence
in the wrong place and then start it up in
the middle of the next sentence, or say things like
instead of President Reagan, they'll say President Reagan.
Speaker 1 (06:11):
Oh fake.
Speaker 3 (06:13):
And it bothers me and it's hard for me to
even find now real voices on those podcasts, And I thought, wow,
that must be putting voiceover people out of work, like
crazy Caama.
Speaker 2 (06:26):
Correct, well, that's why you saw everyone on strike in LA,
you know, to make sure that's all the artists, copywriters, producers,
you know, couldn't get their work taken away by AI,
and so you know there is that risk. But you know,
the AI still doesn't sound that great. I think people
still want to talk to humans in certain instances, but
(06:49):
if you want to say, check on flight status or
something simple, I'd rather talk to a robot. But if
I have a very difficult problem, I want to talk
to a human, you know, that knows what they're doing.
And so I think the AI voices for like podcasts, transcriptions,
they're going to get better, but they're never going to
sound quite like a human, or at least not to
(07:09):
not to ariars. Maybe people that grow up with it
won't know the difference.
Speaker 3 (07:13):
So if they do get to be as good as
human and they just sound like a wonderful English gentle person,
do you want that?
Speaker 1 (07:21):
Do you do you want to be fooled?
Speaker 3 (07:22):
Do you want to be listening to a machine even
though it sounds like a human, or do you take
some comfort in that as a human being? A little
sound booth reading.
Speaker 2 (07:31):
This, well me personally, i'd rather know it's a human.
But for something like that. But I think there's going
to be a generation that grows up. You know, my
kids today, I don't know they're going to know any different.
You know, they're growing up listening to artificially intelligent voices
and they might not have the same discerning ear that
we do. So it may just become accepted as commonplace. Right,
(07:52):
We've got a client that has a huge call center
and they're to having agent's voice. Agents take fifty percent
of their calls, right, and they're finding that they are
doing a better job than some of the people that
were taking.
Speaker 1 (08:03):
That's the thing, a better job.
Speaker 3 (08:04):
At least the AI could be trained to be cheerful
when it's doing customer service.
Speaker 2 (08:08):
Now, back to those podcasts exactly.
Speaker 1 (08:11):
Back to those podcasts.
Speaker 3 (08:13):
Some of them are three and a half hours long,
and it occurs to me that, hey, wait a minute,
maybe this isn't even being written by a human.
Speaker 1 (08:21):
Maybe somebody like me.
Speaker 3 (08:23):
When I talk to chet GPT to draft some text
from me for say, to put with a video I
post on my YouTube travel channel, I use AI to
generate that text. Why couldn't AI be easily instructed to
You could say, hey, chat GPT, please create a fifty
(08:46):
thousand word podcast that follows the evolution of Neanderthal man
when they first broke away from their common ancestor until
they disappeared, and concentrate on this, on this event, and
this event and this, you know, concentrate on their bone structure,
(09:10):
and concentrate on their habits, and concentrate on what they ate.
Wouldn't chat GPT or another bot be able to do
that right now, and maybe that's what I am listening to.
Speaker 2 (09:22):
Theoretically, it could create that long of content. Three and
a half hours is a pretty long time and that's
a lot of information at searching. And I don't think
that English speaking podcasts are talking about neanderstrong Manner is
going to be as exciting as content as someone who
actually did that for real. And you know, you as
the human in the loop, you know, need to evaluate
that podcast and like, hey, how many people, how many
(09:45):
people have watched this? Is this useful? That's where reviews
and then of course you get a AI go create
a bunch of fake reviews. But I mean, I have
a podcast all the grit mindset, and I have it
on video because I want people to see me talking
to another human being, and that's that they take it
and get a synthesis. They could.
Speaker 3 (10:00):
Yes, pretty soon, face to face is going to be
the only way you'll be able to believe what you're here.
Speaker 2 (10:08):
Because it could people are going back to the office
in robes, people go to any restaurant it's full. I
think humans crave that face to face interaction. Then I
do think there's going to be a lot more of
it back to what we heard from one of our
listeners earlier, whether there's a deep face on the voyd
over the phone, how do you know as you're talking
(10:28):
to is truly that person without a safe word or
some sort of security. So I do think this may
actually drive a return of you know, working from home
to having people back in the office and back meeting
up face to face. And you know, that's something I
welcome in something I've missed out on that interaction over
the last few years.
Speaker 3 (10:45):
Is there anything that you would like me to convey
about what you do that I haven't not yet done
before we before I say goodbye to you.
Speaker 2 (10:53):
Well, thank you so much for having me on the
show and allow me to share insights and answer questions
from the listeners. I think if you have folks out
there that are listening this evening that are have an
organization and they're trying to really understand how to adopt AI,
but they're almost in what I call the fog of
war because there's just so much information and so much
change and so much coming at them and they're not
even sure where to start. I think what we do
(11:15):
a very good job of is helping organizations look at
what they do for a living, understand their systems and
data that they have in place today, and come up
with ways and business use cases where they can use
AI effectively, safely, productively, and really help make their organizations
(11:36):
better and give them a competitive advantage by helping them
do it AI within their walls in a safe, secure manner.
That's what That's what we're really doing for a living,
is helping people through this adoption curve, which is which
is it's challenging to figure out how to get AI
infused into your organization and your daily workflow and process
and data end systems. And that's what we're really good
(11:56):
at it. It's helping companies that are on that journey.
Speaker 3 (12:00):
It seems like the examples you used show that you
could make your company much more productive, make your workers
much more productive by having AI do the repetitive drudgery
so they could do the more human oriented things.
Speaker 2 (12:17):
That's absolutely right. They can free up people to do
the more human tasks, work on their soft skills, you know,
have tough conversations, things that humans are truly good at.
But if you're writing the same report over and over
or just researching information summarizing it, those things are better
left to AI and that routine and boring work can
be left aside and focus on more exciting things and
(12:39):
spending time face to face or taking a client to lunch,
or spending time researching your something interested in. I think
we're in for a huge productivity gain as a society.
We took the review writing task we do internally, took
it from a day to an hour, and now mentors
have more time to spend with their mentees going through
the contents of the review and making them better consult
(13:00):
versus writing the review, which used to be very painstaking
and difficult. So I think it has a lot of
great and practical uses. We talked about some of the downsides.
I'm an optimist. I view this as a positive technological shift.
But like every revolution we've had in our world, people
always are scared. It's going to take their jobs, it's
going to take over the world, it's going to change everything.
And it's never quite as bad as we think it's
(13:20):
going to be. It's never quite as good as we
think it's going to be either.
Speaker 3 (13:23):
Thank you, and folks, you may think that your organization
is really too small to benefit from something like this.
I don't know if you're maybe even a town, maybe
if you're an officer in a town, a company.
Speaker 2 (13:36):
Well, we're talking to several many unicipalities about using our
AI framework to help their citizens right now, actually help
in one of the departments of transportation in one of
the southern states. So you can reach me. I'm Matt
Adalida dot com and our website wwwdalia dot com. So
I'd love to hear from anyone who wants to learn more.
Speaker 1 (13:56):
Okay, and Alida is spelled correct me if I'm wrong,
A L L.
Speaker 2 (13:59):
A T A. You got it.
Speaker 1 (14:02):
Okay, thanks so much for your time.
Speaker 2 (14:05):
Yeah, thanks for having me on the show this evening.
Have a great Labor Day weekend.
Speaker 1 (14:08):
Absolutely.
Speaker 3 (14:08):
Now I'm not I'm going to continue on this because
I'm going to tell you some ways that I use it,
and I'm going to go through some applications that I
believe use AI to do things like make music and
we'll talk about whether that's really music. Make art, we'll
talk about whether that's really art to you. And also
to make fake graphics that you can post on social media,
(14:34):
et cetera. There are a lot of offshoots out there
that you don't know about. Yet and I only learned
about today as I started to research this. So I'll
continue with that in a moment on BZ.
Speaker 2 (14:45):
You're on Night Side with Dan Ray on WBZ Boston's
news radio.
Speaker 3 (14:52):
I am going to continue talking about AI a little
bit in the way I've adopted it and maybe how
you can adopt it. First, if I want to tell
you that if you're you know, a tech shy person,
you're gonna you're gonna love this AI business because it's
super easy. It's the world's easiest thing. There's nothing to
(15:13):
figure out. I use chat GPT and I got the
apaid version of it, so it's just one above free,
so it's not that not that good. And let me
tell you how I use it and perhaps you can
use it too. But first I want to explain how
simple it is.
Speaker 1 (15:31):
You I just what away.
Speaker 3 (15:33):
I have signed up and I could have the icon
and my menu bar. I don't, but if I did,
you just hit that and opens up and as a
window you type something in just like Google, but it's different.
Speaker 1 (15:48):
You can also talk to it. With my version, you could.
Speaker 3 (15:53):
You don't have to type it, which is good for
me because I'm a talker, not a typer, as you
might have guessed. So I will say, I'll open it up,
I'll hit the little microphone, I'll enable the voice, and
I'll say, hey, shat GBT, can you do this for me?
And some of the things I have do for here?
(16:13):
Write text? Do you have to write letters to people?
Do you have to make do you a person that
posts online a lot?
Speaker 1 (16:20):
What I use? I write texts for my videos. I
have a travel a travel channel on.
Speaker 3 (16:27):
YouTube, and with each post you need to write some
text and you need to optimize it for search engines
as well. So since I do not like typing, I
just I will say, let's say warsaw poland I'll just
open it up. And instead of hunting and pecking and
(16:50):
typing and having typos and correct it and taking forever
and really not understanding how a search engine optimization works,
how to do it right, I simply say hey, good morning,
chat GPT, and there's this unbelievably real voice friendly you
(17:13):
can choose your voices I have.
Speaker 1 (17:15):
I just went with a default guy.
Speaker 3 (17:16):
He's a male, say hey chet GPT, and then a
real conversational voice to say, well, how can we help
you today?
Speaker 1 (17:23):
It sounds it's super real.
Speaker 3 (17:25):
It's not machine sounding at all, and you actually believe
it or not. Start to develop a relationship with this entity.
And I say, chet GPT, can you do me a
favor and write a text to go with my YouTube post.
(17:45):
Be as specific as you can to go with my
YouTube post on Warsaw Poland, and please concentrate on the
charming old town, the delicious foods that are specific to
that area, and please include a lot of history on Warsaw,
especially the World War two era.
Speaker 1 (18:08):
And it'll say okay, boo boo boo.
Speaker 3 (18:12):
In maybe three seconds, it's there, and I just copy
and paste it into the description box in my video
rather than spending twenty minutes and still having typos. And
one of the huge things for me is it's grammatically
and it's correct, and it's spelled correctly.
Speaker 1 (18:30):
I don't have to worry about that.
Speaker 3 (18:32):
I'll have to do is read it over and make
sure that chet GPT really understood me. Then not only that,
if the voice will say, how's that you need any more?
Speaker 1 (18:47):
Do you want to get more specific? And I say,
I tell you what?
Speaker 3 (18:49):
Can you talk more about the main street name so
and so Street and the history of that street and
drilled down onto a particular restaurant that's on that street.
I forgot to tell you that chat DBT no problem.
Speaker 1 (19:04):
Boo boo boo. There it is anything else and you
can you fine tune it.
Speaker 3 (19:10):
And it's you get this beautifully written, extremely detailed text.
Speaker 1 (19:17):
You just copy and pasted any description in YouTube.
Speaker 3 (19:20):
And since I said, oh, I asked it to please optimize,
put put in keywords and optimize for search search engine optimization.
They're in there too. Hashtag this hashtag that, all these keywords.
It's fantastic. I can't remember how much it is, but
it's not much. I spend more on coffee, that's for sure.
(19:42):
And I'm sure it does other things that I am
not using it for now.
Speaker 1 (19:48):
But try it out. And even if you are.
Speaker 3 (19:55):
Self proclaimed luddite, this might be way you leap frog
ahead skip all that other stuff. If you can open
a laptop sign up for one thing chat GBT, you have.
It's just spectacular. So you run Facebook, right, and you
like to post on Facebook, but maybe you hate checking
(20:19):
over for spellings and it's maybe it's a pain to
type it out. Boom, create a text for your post
in Facebook and then just copy and paste it in.
Speaker 1 (20:30):
It's unbelievable and it's subdunning to me. How the it's
not like Siri to me. It's much more.
Speaker 3 (20:43):
Friendly to me, the voice you interact with when you
use the voice activated version. See I try it out,
and I don't know for sure, but I'm guessing you can.
You can get rid of it at anytime if you don't
like it.
Speaker 1 (20:57):
It's a really, really valuable tool. And they're in related angle.
Speaker 3 (21:07):
There are separate applications for those of you want who
get more adventurous that will. They are specifically designed to
make fake news headlines that will I guess they take
look like a front page I'm guessing, or an article anyway,
And I'm sure you can have it include photos because
(21:29):
you entering entering into a whole world of legal unknowns
when you start using photos that you didn't take in
fake news articles. Maybe you can get sued, but who knows.
It's a wild west. I myself would air on the
side of caution and I would only use photos that
(21:51):
I took, but a lot of people don't care. A
lot of people put copyrighted music in their YouTube video.
I didn't think you were supposed to do that, but
no one seems to care.
Speaker 1 (22:03):
So I will give you.
Speaker 3 (22:04):
I'll run through some of these other apps you may
not know about to do specific AIE types of things
after this on WBZ.
Speaker 2 (22:16):
It's Night Side with Dan Ray on WBZ Boston's news Radio.
Speaker 3 (22:21):
You know, it's getting increasingly important that you get your
news from a trusted source like WBZ News Radio ten thirty.
And one of the reasons I'm saying that is because
almost anybody out there is soon going to be able
to create fake, believable looking news headlines, and you've got
to make sure you checked the source and again, get
(22:45):
your news from a reliable source from now on, like
WBZ News Radio ten thirty. You know it, you trust it,
You recognize the voices, because there are these apps out now,
AI based types of apps that can do the following,
and I even have the names of them. These are
(23:05):
and I believe it or not, I use chat GBT
five to find this fun and satirical headline generators, this
one called break your Own News. And I only give
you these so that you know that the technology is
out there to deceive you, so beware.
Speaker 1 (23:25):
Soon you won't be able to.
Speaker 3 (23:26):
Believe anything unless you look at your radio dial and
you see, oh, it's on ten thirty or something like that.
If you're online, be very careful, make sure you try to,
you know, check that URL, do what you can to
verify it. So Break your Own News is a breaking
news generator. It's a web tool where you can upload
(23:47):
a photo, write a headline, a ticker, then style it
into breaking news layout. Great for humor or powerdy use
yeah or for Deceivinges is another one that's an iOS
that's a Mac thing create playful headline designs with adjustable title, subtitle,
(24:08):
et cetera. But another one, breaking News Memes for the
Android platform, offers a live in breaking news style templates
to overlay headlines, et cetera. And you can do that
with news stories or just There are other applications that
will allow you to.
Speaker 1 (24:27):
Make sort of deep fake.
Speaker 3 (24:30):
Graphics of people doing things they're not really doing. It
looks like them doing things they shouldn't and you could
you could even be extorted with something like that. It's
really dangerous, so beware unless you know the source, unless
it's a trusted source, be very skeptical.
Speaker 1 (24:54):
We heard this very sad story of.
Speaker 3 (24:56):
One of our friends out there in bus and got
a call from someone who said basically was saying, your
relative's been in a disaster, we need money, deliver the
money here.
Speaker 1 (25:10):
And they actually used.
Speaker 3 (25:13):
An AI generated version of their relative's voice. That is
a common thing, by the way, and the guests, did
you hear the guests have said the most valuable thing
I've heard in a long time his family. He said
it very quickly and you might have missed it, but
this is something your family should do. You have a
(25:34):
safe word so that the whole family knows it. And
if something like this happens and it's genuine the voice,
will you will say to them, all right, what's our
family safe word? And if it's AI generated fake, they
won't know that safe word, so do that. You might
(25:58):
think it wouldn't happen to you.
Speaker 1 (25:59):
Will it certainly good? And what are you going.
Speaker 3 (26:02):
To do if you hear that voice and you don't
know not send the money out there?
Speaker 1 (26:07):
Also?
Speaker 3 (26:08):
I guess you would be pretty uh skeptical, skeptical if
the funds are being delivered by uber driver, but have
a family safe for it.
Speaker 1 (26:20):
It's now it's Daryl in New Brunswick. I'm guessing can
that is that true.
Speaker 4 (26:27):
Uh yeah, it's spelled with a seed, not a kid.
All right, I know, bad joke, great, Yeah, no, it's
a fine joke.
Speaker 1 (26:37):
I like the joke, just fine.
Speaker 4 (26:40):
Uh no, it's just the way all this, even Crown
Royal Bottling is going to go down to Alabama. I
guess I did.
Speaker 1 (26:49):
I did not know that.
Speaker 4 (26:51):
Okay, that was something new the other day. But anyways,
it's still Canadian whiskey. But went off topic. You were
talking about how people try to confuse you, right, And
I called my bank today and it's an international bank.
(27:12):
And from there it was I was trying to just
pay my bills. I was able to pay certain bills,
but I wasn't allowed to pay certain bills. And the
problem is is you don't know whether you're talking to
somebody who was actually able to talk or AI.
Speaker 1 (27:38):
So you were not at the bank.
Speaker 3 (27:39):
You were on the phone, correct, Yeah, yeah, who even
if you make the call, who knows. Maybe your call
got redirected and maybe you tried, maybe you searched online
to get the number and you were given you got
the wrong source. That happened to me once I thought
I was buying tickets to Tel Aviv from l airlines
(28:03):
one hundred percent.
Speaker 1 (28:04):
Not that was the case.
Speaker 3 (28:05):
But it turns out I was buying it from some
third party.
Speaker 1 (28:09):
It just kind of fooled me. It was it was
bad news.
Speaker 4 (28:13):
Well, oh, this is the bank that I call every
month you pay my bills, right, and but it's I'm
not being rude, but it's when you have people that
don't command a certain language, uh, and they're trying to
sell you'll and so to deal with you as a customer.
Speaker 3 (28:33):
So you're saying, let me see if I understand you
call the bank, and the person on the other end
was someone that's not It's native language is different than yours. A,
so you had trouble understanding.
Speaker 1 (28:44):
And B they were trying to sell you stuff.
Speaker 4 (28:48):
Well, they were trying to keep you on and trying
to work you through different stuff, say I E on
the internet and saying it's more secure if I do
it myself. And so therefore you actually questioned the bank security.
Speaker 1 (29:03):
Oh, they wanted you to go to their website and
do it there.
Speaker 4 (29:07):
They'd walk you through how you do it online, all
that stuff.
Speaker 1 (29:11):
Right. Yeah, they want trying to get rid of people.
The more stuff you do online, the more people they
can fire.
Speaker 4 (29:17):
But the kicker is is my understanding is banks are
recording record profits, right, So hopefully we go back to
the old.
Speaker 1 (29:30):
School and what would that what would that look like?
Speaker 4 (29:34):
That would be people talking to people and actually dealing
with stuff. And if you did not want to deal
with a computer, you can actually deal with somebody you
can talk to.
Speaker 1 (29:43):
So you drive down to the bank, you mean.
Speaker 4 (29:46):
Or no, it's when you even nowadays, if you look
up banks, they give you a national number instead of
the local numbers, so you can't even talk to measure.
Speaker 1 (29:58):
Don't you hate that? I hate that. I tried to book.
Speaker 3 (30:03):
A local hotel, but with the booking numbers national, so
I get somebody that has no clue that their their
way out in Amarillo or something, and it is, uh,
it's a kind of a bummer.
Speaker 4 (30:15):
Yeah, well, well here's a kicker, ironically what you're talking about.
There was a coke truck, you know, I you know,
we had the trailers going by the Semis and they
have cooke on it and the guy's spring broke on
the eighteen whaler right in front of my property on camera.
Speaker 1 (30:36):
Wow.
Speaker 4 (30:37):
My first thing was safety and thinking about other people,
and so I called the coke number, and I got
shipped down to Atlanta and ironically they they actually got
a hold of the driver and I actually found out
he was just around the corner at the gas station
dropping off some more coke. So I gave him the
(30:58):
pieces of the leaf spring that look off this trailer.
Speaker 1 (31:01):
Well there you go, this one on one. That's good.
Speaker 4 (31:05):
Well, no, it's the old common sense, like you know,
it's a you know again, that's why listening to you
guys show, it's awesome.
Speaker 3 (31:15):
It's old school, right, it's real, it's tense, it's practically tangible,
it's you know, it's real.
Speaker 1 (31:20):
And I love that, love it.
Speaker 4 (31:22):
Well, the kicker being, The kicker being is what you
just said as well, to back you up and Dan
and whatnot. And it's even on holidays, you guys are
on air.
Speaker 1 (31:34):
My god, by gy. I love that.
Speaker 3 (31:37):
It's one of the it's just one of the wonderful
real things that still exist.
Speaker 4 (31:43):
Thanks so much, you know you well, but you know
people are out there listening to you guys.
Speaker 1 (31:49):
That's right there.
Speaker 3 (31:50):
Well, thank you so much, and hi to everybody and
New Brunswick. Two questions for you for the last twelve minutes.
It's going to wrap up this AI business. I make music,
I buy music stuff and somehow the algorithm knows that
they know, and so I get flooded with offers to
(32:10):
buy things, including software. So now more and more I
get these pictures to say, hey, songwriters, let AI write
your music. Let AI write your song. It's amazing. And
there are equivalents for art. They are AI programs to
make art. And the very hard and real question is
(32:34):
is art generated by AI?
Speaker 1 (32:37):
Art?
Speaker 3 (32:38):
Of course, it depends on your definition of art, but
I will define it as something made by a human being,
the reason being part of the appreciate edentupression. Appreciation of
art is to appreciate the skill of that human given
the frailties of the human and the limitations, how that
(33:00):
person has transcended those and refined the skills to create
this beautiful object or this object of art. And if
a machine does it, it ain't art to me, folks.
Folks will argue both ways, but for me, of course,
again it's about the definition of definition. If a human
(33:22):
didn't make it, it's not art. Would you agree with
with me on that same thing?
Speaker 1 (33:28):
With music? Could you be a fan.
Speaker 3 (33:31):
Of a band that's music was made by AI or
somebody where Quincy Jones said, all right, ay, I I
want to hit song. I want to hit song about
country living and fast cars and whiskey and beer and divorce.
(33:52):
Make it a country song and use these keywords divorce, divorce,
insurance's and then in seven seconds you have a song written.
Then you can say, then you have that those lyrics
and you can say, okay, we have these lyrics here, AI,
why don't you, you know, create a song around that.
(34:13):
I'd like it to be in a country style with
verse chorus, verse chorus, break, verse chorus, chorus, and I'd
like it to have a stand up bass guitar, I
mean a stand up bass and a let's say a
(34:34):
Fender guitar, and what kind of drums tama drum set?
Speaker 1 (34:42):
Is that art?
Speaker 3 (34:43):
No, that's where we're going, And what are we gonna do?
How are you gonna know that your music that you
buise was generated by real humans and you're not, and
as a result, our lives get are diminished. And if
you really want, I don't want to be too down,
(35:04):
but it's in my estimation this is pretty down. But
now that I've started, and I have to say it
the world can end, Human life can end in a
couple of ways, hit by an asteroid, and we destroy
ourselves with nuclear weapons. I think that the latter is
the one that's gonna happen.
Speaker 1 (35:22):
Not gonna take that long.
Speaker 3 (35:24):
One side is gonna be fooled into things that the
other side has launched the first strike. They're gonna launch
their weapons and it's over. That's what's gonna happen. And
I don't think it's that far away. Thoughts on that?
Speaker 1 (35:36):
Is that a likely scenario for you? Do you worry
about that?
Speaker 3 (35:40):
And is AI generated art really art? Is AI generated
music really music? No?
Speaker 1 (35:47):
It's not art. No, it's not music as far as
I'm concerned. What do you think? It's WBZ, It's.
Speaker 2 (35:52):
Night Side with.
Speaker 1 (35:56):
Boston's news radio.
Speaker 3 (35:58):
That's right, Bradley J for Dan Ray little while, I'm
gonna teach you how to lie, because it seems the
truth is not a thing anymore, and really, the folks
that lie get ahead. So I'm going to give you
some lying lessons, and I'm also going to ask you
when it's okay to lie. There are certain times when
it's okay to lie. So that's coming up. But first
(36:18):
we have Eric in Attleborough, Okyoki. Eric, Let's uh, let's
find out what's on your mind?
Speaker 1 (36:24):
Brother? What's up? Hi?
Speaker 4 (36:27):
Eric?
Speaker 1 (36:30):
Hope Eric's gone. I will get right to the lying part.
Speaker 3 (36:34):
You see, all my life have been a terrible liar,
terrible bad liar, no good at it as a matter
of fact. In fact, someone I tried to lie to said,
you know I was young, he said readily. As you
go through life, don't lie because you're a terrible liar.
So I don't lie. But that's that is a liability.
(36:57):
In today's society, being able to lie well seems to
be an asset. As you know, a politician cannot get
elected by telling the truth. And it seems the more
the bolder, the wilder the lie, the more it's accepted.
(37:20):
And cable news, you look, you don't know what to believe.
You watch one source completely different reality than another source.
Is there any truth anymore at all? Maybe trying to
tell the truth is just some quaint old thing that
will just get you beat up these days. Maybe you
(37:41):
want to teach your kids how to lie properly? So
what should I do first? I guess that I'll address
times when it's okay to lie and I ask you,
do you have an example of when it's okay to lie?
And maybe at time you told the true ruth that
you regret. He thought, I'm gonna I'm gonna be honest
(38:06):
and you regret it. People will put you down for
you be honest, but really, in real life it can
be a liability. So I've sat down and thought about
today when it's okay to lie? And see, I want
to see what you think as well. So six one, seven, two,
four thirty is it okay to lie? When is it
(38:30):
okay to lie? And have you had bad luck telling
the truth? At some point, maybe your wife or husband
or someone close asked you, how does this haircut look?
Speaker 1 (38:46):
How does this dress look? How do these pants look?
How do these product shoes look?
Speaker 3 (38:52):
Okay, when it's okay to lie in everyday life, line
can be the kind thing to do. Okay, Well, I
was always taught honesty is the best policy. Is that
right or wrong? Was it right or wrong? Then?
Speaker 1 (39:05):
Is it right or wrong? Now?
Speaker 3 (39:09):
I think that in order to spare feelings alive is okay?
Speaker 1 (39:14):
After all?
Speaker 3 (39:15):
What's more important to you avoid making a person feel
bad or to tell them the truth? It depends like
someone says, do I have spinach in my teeth? And
if you say no, they do, They're going to go
out to the big job interview and not get it. Therefore,
you'd be better off telling them, yeah, you better get that. Yes,
(39:37):
you do have spinach in your teeth. Yes, that dress
is not complimentary. You are fabulous, but that those genes
do not They are not good looking on you. They're
not flattering. That's a good way to put it, So
to spare feelings. Compliment a friend's haircut even if you
don't like it, even if they didn't ask.
Speaker 1 (39:58):
That's a great haircut, but don't be ridiculous about it.
Speaker 3 (40:01):
Hey, And then don't be don't say hey, nice hair cut,
because that sounds sarcastic. Okay, another time, when it's okay,
oh I need to I need to go now. But
I will continue with when it's okay to lie. Right
after this on w b Z,
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