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now at Patreon dot dot net rocks
dot com. Hey Carlin Richard Here,

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As you may have heard, NDC
is back offering their incredible in person conferences

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around the world, and we'd like
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more information. NDC Porto is happening

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October sixteenth through the twentieth. The
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twenty first. Go to Eddcporto dot
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lineup of conferences at DC conferences dot
com. Hey, welcome back to dot

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net Rocks. This Carl Franklin and
this is Richard Campbell. I'm very excited,

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Richard, because my one of my
heroes of podcasting, Grant Barrett,

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is going to be with us in
just a few minutes. Um. But

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first let's do better, no framework
and get out of the way. Awesome

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man would have got Believe it or
not, I started a new podcast.

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Are you kidding? I'm stupid?
I don't know, because both put several

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hours of podcasts a weekend, so
it's not surprising. Yeah. So this

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one is a personal more like a
personal journal. Oh yeah, I'm just

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finding people that I've met in my
travels and I've worked with that I find

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really interesting and I think would also
their stories would be very interesting to my

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listeners. And so it's called no
Excuse for boredom. I love it.

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It's a no excuse for boredom dot
com. You can't believe you got that

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domain name. I have a way
with getting domain names. I don't know.

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Yeah, yep, no excuse for
boredom dot com. So there's only

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two episodes up there. Um.
The first one is Dan Grief. He's

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a guy from England who I know, you don't know, but he I

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basically talked to him about the difference
between new England and Old England in terms

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of language and slang, and great, you probably like this too. I

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asked him to define a whole bunch
of British slang words and phrases that confused

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me when I first heard them,
like oh uh, okay, are you

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trying to take the piss out of
me? The classic? I never The

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only time I ever heard that was
like on a Gordon Ramsey show, right,

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and I'm like, what the heck
are they talking about. I kind

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of got from the context that it
means like are you kidding with me?

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Or are you are you just trying
to pull a fast one or whatever,

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but I'd never heard it before.
So there's just a long list. Yeah,

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there's something very cathe or esque about
that. It really put in a

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stint exactly. I just didn't get
it. So there's it's just funny.

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And then the second one is with
Randy Judkins. Oh man, I remember

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him. Yeah, my friend from
in the early days, my friend from

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Maine who did that first dot net
what is dot net video? And he's

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a jungling magician, comedian. He
was so funny too. Oh had me

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rolling and stitches. All right,
Well, enough of that. That's what

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I got who was talking to us
today? Richard grabbed a comment off a

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show sixteen o five, the one
we did back in twenty eighteen, so

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that's a while ago. And it
was actually about IoT and edge competing.

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But we were taught and this is
Jared Rhodes we were talking to. I

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don't even remember this because of course
you remember every show. It was only

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five years ago. Wait, oh
no, that's me. But the latter

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half of the show we were talking
about data collection a lot because these you

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know, we were talking about how
small the hardware gotten and you can put

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it just about anywhere and nothing.
It's always uploading to the cloud. You

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know, there's consequences to all of
that. And Mike comment on the show,

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and admittedly he commented, you know, within a month of it being

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published several years ago, he said, hey, this is a great ethical

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discussion about collecting data. I always
revert back to Kransberg's first law tech it

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is neither good or bad, nor
is it neutral. I think that's actually

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his quote, but okay, I
don't disagree with the quote. Mentoring a

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store gathering data is troubling. You
obviously opt in. And this is when

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we were talking about some of the
projects I've been involved with where they're actually

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instrumenting shelves to see what you look
at, what you pick up, what

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you put down, all of those
kinds of things. And so the point

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of you obviously opt in by seeing
the monitor continue to enter, But is

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that enough? Shouldn't the customer not
to what extent their behavior will be analyzed?

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And for what purpose? What are
the patrons who beyond their control only

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have access to that store, are
you know, aliening their business and taking

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a v to the system to gather
data? Programming ethics have always fascinated me.

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Recent protests by Google employees now again
twenty eighteen. Yeah, and that

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was when Google was going into China
and they were demanding the Great Firewall stuff

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and censoring and so forth. Recent
protests by Google employees over developing censoring products

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for the Chinese government and the military
machine learning for the US government highlight the

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backlashes these companies faced with adopting technologies
for different applications. And I'm like man

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five years later and there's no protests
than ever. But it always boils down

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to this, you will be able
to find a developer to do what you

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want to have done. There will
always be someone with the ethics that aligned

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to yours or what desperate enough to
do that work. This is unique to

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programming. However, programming has a
unique advantage to being cheap to scale,

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so one developer can have a profound
impact on humanity versus one unethical police officer

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or one unethical investor. Had Bertie
made Off, I love this reference.

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Had Bertie made Off known how to
make an ASP website, he could have

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offered his services anonymously to many more
people. It was a great discussion on

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what to two about this responsibility.
How do companies talk about this? My

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experience is most don't, don't yeah, but we will eventually need to Yeah.

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Wow, thanks you, Thank Mike, you killed it. I was

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so glad to find this comment as
I dug through knowing where we were going

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to go today, and so thanks
thanks for this. It is absolutely the

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conversations we need to have and are
having. And a copy of music Codebuy

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00:06:30.839 --> 00:06:33.199
is on its way to un If
you'd like a copy of Music Code by

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write a comment on the website at
dondt Rocks dot com or on the facebooks

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we publish every show there, and
if you comment there and everybody in the

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show. We'll send you a copy
of music Code Buy and definitely follow us

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on mastadon. I'm at Carl Franklin
at tech Hub dot social, and I'm

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Rich Campbell at mastadon dot social.
Send us a two Rudy too too.

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It's still funny, Yeah, it's
still funny. Okay, we're still in

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grade seven. I know I'm always
going to be that way. This is

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a really exciting time to have Grant
Barrett on the show because I think Grant

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exists in the intersection of language and
ethics and tach. So let me read

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his bio for you. Away with
Words, Wayward Radio dot org co host

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and co producer, Grant Barrett is
an American lexicographer and linguist specializing in slang

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and new words. The public radio
show has heard from coast to coast in

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the United States. It's a Wayward
Radio dot org slash radio and around the

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world by podcasts Wayward Radio dot org
slash Podcasts. He has helped produce dozens

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of dictionaries and has authored three books
of his own. He's a voracious reader,

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reads and speaks a bit of French
and Spanish, and spent years working

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in the jargon rich jungles of information
technology. Though born and raised in Missouri

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and having been a long time resident
of New York City, Grant now lives

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in San Diego, California, with
his wife, also linguist and lexicographer,

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and their young son. His personal
website is Grant Barrett with two tis dot

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com. Welcome Grant, Hello,
how you doing Hey in the bio and

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the u URLs. Yeah. Absolutely. First of all, I just got

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to say your podcast as a staple
in my house. You know, it's

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a radio show too, heard coast
to coast in the United States as you

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just read, Yes, you're right, and also independently, voraciously independent,

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right yeah, yeah, not a
part of NPR, but heard on a

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lot of NPR stations. It's hard
to explain that to people, but it's

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a it's an one, tiny little
nonprofit. We just the radio stations are

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clients of ours, so we just
so cool. I talked to the radio

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stations because you have an MPR sound, well you could easily be MPR.

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Yeah, we are on NPR stations, so we take the NPR sound.

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But we were just added to a
bunch of new stations Miami and Tucson.

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And actually we're now heard in Roswell, New Mexico. Wow, Aliensis are

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listening. Excellent, it's the caller
there. Let me tell you where that

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comes from, you know, Beetle
Juice. Yeah, that stuff a great

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movie, all right. So the
reason that I got in touch with you

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is because I was listening to your
show and Martha read a story or a

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comment or an anecdote about She went
to chat GPT and told it to give

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her a one paragraph description of a
way with words, and it came up

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with this what she thought was a
completely unique paragraph. She said, she

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googled each one of them, each
one of the sentences, and they could

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not be found elsewhere on the Internet, and then started this moral discussion about

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you know, there's people who are
really afraid of this, all right,

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of chat GPT, and of language
evolving in general. And I think one

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of you, maybe it was you, said that, well, back in

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the days of what was it Socrates
or ancient Greece, they were concerned that

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if they taught, if they educated
people, and books, you know,

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people were writing books. Obviously they
weren't writing, you know, printing books,

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but if they were writing, that
was going to make people stupid,

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or because they wouldn't have to remember
so much. Yeah, at the time

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and the ancient Greeks, you were
expected to memorize and recite allowed, and

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once writing became more standard, you
might put it on a sheepskin, vellum

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or papyrus. People are like,
wait a second, you're not memorizing this,

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You're just gonna go and read it. It's not in your head.

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How do you actually know anything?
Right, If you just know where to

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get it, that's not knowledge.
It's stored out of your brain. You

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got to think that was a technological
advance, that better writing implements had come

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along. You weren't chiseling in stone
or pressing in clay. And well,

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it's the evidence of every technological advance
is as a of resisting force, there's

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always opposition. This was the same
screaming match that happened when Gutenberg made the

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press. Well, everything, all
technological advances, has pushed back. There's

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not a one. I mean,
somebody probably argued against fire. It burns

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somebody, somebody, nothing good will
come of it. Somebody argued against the

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wheel. But wait, it doesn't
have a stopping point. It can just

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keep going. How well, I
know that when I go to sleep,

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it'll step, You'll still be there
in the morning. Yeah, right,

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roll away. Yeah, yeah,
it's circular, that's satanic. I don't

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I don't know. We can't trust
people with new technology that I think that's

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what it comes down to, right, and that's why people. But on

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a larger point, what's funny about
this is, you know, since we've

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booked this interview for the three of
us to talk, the larger conversation has

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continued as fast as all the GPT
out growths and companies. And I mean,

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how many how many companies were founded
in Delaware? Since so much of

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this conversation hasn't moved on since we
just booked this interview, Margat and I

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talked about it on the air.
I think the way to discuss this isn't

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necessarily from an ethical standpoint so much
as it is from a personal standpoint.

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It's Martha took. Her approach was
really interesting as a former magazine writer,

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so know she were for Glamor and
for the Washington Post and some other things.

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She just said, well, if
I was still in the trenches,

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what to stop my competitor from taking
all my gigs and using this to write

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rough drafts and then tuning them up
a little bit and turning them in and

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beating me to every deadline, taking
all of the greatest gigs, and nobody

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being the wiser. Now we know
that there are tools that can help detect

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the GPT derived you know articles.
Yeah, but that's today. Yeah,

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she's got a good point. Yeah, except that quality is really not that

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good. Like, is it ultimately
saving you time? I don't even I'm

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not even convinced. Well, that's
the question you still have, Like I

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said, you have to tune it
still, right? You still? I

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mean what if you what if your
machine learning was based on your own writing

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and not the larger world. Yeah, it's totally going to be as smart

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as you and invariably not as right. What if what if it was a

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two set process. The first draft
was just from the larger chat GTPT and

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the second draft said, now run
it through the corpus of my own writing.

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So it sounds like me. I
read an interesting opinion I think it

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was in Washington Post about from a
teacher who said teachers need not worry about

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AI, and the pushback was,
there's a simple solution, just make tests

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in how in person or even oral
exams. Yeah. Handwriting, Yeah,

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handwriting or you know, Oh you
mentioned that things have progressed. I've noticed

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that there's a word Press Chat GPT
plug in. Now, oh, because

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that's going to work. Well,
all the SEO animals love this crap,

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right, How many happy SEO blogs
are we going to see with this?

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But I just gon alert them up
with Google ads. Yeah, well they

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were doing that anyway. This is, I know, but now more and

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easier. Yeah. I would wonder
if it'll actually be better. I don't

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know, because it might actually be
worse. So I want to talk about

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So we're at a bridging point here
where there's a before and and after,

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00:14:26.639 --> 00:14:30.879
but I wanted to talk about and
compare this to another bridging point. I

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went back to school as an older
student in his twenties, and I went

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to Columbia University to get a degree. And I was right there at the

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point where universities weren't really decided whether
or not laptops should be allowed in all

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classrooms. So this was two thousand
so and I was at Columbia University,

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and I have horrific handwriting. So
I had one professor who allowed me to

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take my exams on a laptop,
and a number of the other students were

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kind of resentfull of this. But
most students didn't even have a laptop class

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to take notes. But now it
is really standard to have a laptop and

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class to take notes. And the
difficulty is you don't know what a student

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is doing unless you can see their
screen. Yeah, and now the difficulties

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that we saw a lot of this
during the pandemic. The difficulty is if

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you're taking an exam remotely, you
have to lock it down as all this

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software and all these businesses that are
designed to track eye movement and mouse movement,

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and they'll even pan the room with
your camera to know what else and

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who else is in the room.
So we've kind of leaped this whole thing

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where it's just assumed you have a
laptop, and now they're worried about the

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laptop doing too much, rather than
it shouldn't even be in the room.

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I have friends who are professors who
say, you have no idea how rampant

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cheating is, Like it's unbelievable,
no doubt. And you know, it's

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funny because there's another bridge point that
I want to talk about when we talk

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about technology kind of going from oh
my god, this is a problem too.

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Of course it's here, and I
think GPT and things like this,

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all this machine learning will go of
course it's here, or we'll just at

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some point wonder and laugh about this
panic. UM I remember as an IT

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guy, I was largely on the
support side for ad agencies and publishing companies.

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UM. I remember teaching people to
use the internet. Right where we

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went from a completely unnetworked office with
standalone computers on desks and the most networking

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we have was maybe to a printer, to hooking up email for the first

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time, and people going, what
am I going to use this for?

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What does this do? I don't
know anybody outside the office, what is

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it? What's an email address?
Why is it that this AT symbol kind

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of put another symbol there instead.
I don't like the AT symbol, you

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know. Um lots of stuff like
that. One woman printing out all of

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her emails and filing them because she's
at She's like, oh, you know,

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things like that, And now emails
emails actually almost day pass a emails

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like kind of like people like,
oh I don't want email? Who uses

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email anymore? So? I don't
know I make notes in my contact.

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Now, what's the prime medium this
person likes? Yeah, how am I

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going to reach God? Help us? I wish we had email as the

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primary one still, because I wish
I have fifteen different ways to reach people.

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I don't know which one, but
anyway, I just want to talk

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about this instead of getting this moral
panic and an ethical panic. Really,

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let's talk about this as an inflection
point. And we've seen these, whether

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it's moving from speaking or memorizing our
knowledge versus writing it down, whether it's

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should we have laptops in the classroom
versus having them the class expecting them in

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the classroom, to should we have
email to expecting to have email. There's

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all these different times in history where
technology has gone from oh my god,

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this is scary too. Of course
we have this. This is scary,

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right, And I think that's where
we are with this. So I know

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that you are one of your things
on way with words is that you are

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very much always trying to talk people
off the ledge of being like, you

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know, grammar Nazis, usage Nazis, and you're like, like, language

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is changing, you need to change
with it. You know, it's not

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the world doesn't going to stop and
change for you. But that does not

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excuse figuratively and literally, like I'm
not okay with that. Calm yourself.

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Yeah, see see this is exactly
why. Right. So yeah, you're

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like, it's changing, and people
wonder why how these things work back in

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time? You know, how did
something turn into something else? And you

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guys do the research. You you're
like, well, it's because well maybe

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you can give me a better example. But it happens, it changes,

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and it's often based on misunderstandings,
right, uh. Yeah. Sometimes sometimes

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it's just natural where one c one
category that was broad becomes specific. For

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example, girl used to mean boy, right, how is that weird?

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I mean yeah, well, because
it was more general, it could mean

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a young person in general, you
know, or so sometimes broad topic.

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One of my favorite ones to talk
about is how the very specific psychotherapy term

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of ano retentive now just means oh, they're particular. So it left the

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specific domain where it's very precise in
this profession to be used an everyday language

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by people who are not you know, they're not professional at all. Do

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you find an author who use that
phrase in some kind of popular media that

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then it became part of the regular
lexicon, it wasn't one as many you

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know, the things often leave their
specific police jargon, you know, often

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leaves, for example, to leave
the specific language of the police and show

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up in hip hop and then it
becomes slang in the street. Right.

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So so a lot of times the
bridge there is some kind of contact,

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but it usually requires repeated contact and
not one point of contact. So I

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guess, given all that history of
you in Martha, are you a little

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more scared with AI than the rest
of us? Are you? Are you

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like, is this just falling into
this is just another inflection point and don't

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worry and everybody. Yeah, I
think that's another inflection point. And you

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know, I think on the segment
we aired on the show, I can't

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remember how it ended up when we
edited it. I think I specifically said

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I want to avoid the term AI. I don't believe this is AI.

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I think it's just machine learning,
right, and it is, And to

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call it AI is over has a
lot of the AI we've been calling AI

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for decades is an AI. It's
just sophisticated conditionals. Yeah. The way

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I've been describing it is artificial intellages
is what you call something when it doesn't

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work. As soon as it does
work, it'll get a new name.

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Yeah. Yeah, Well, although
I think that some of the stupid things

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it's producing are just as stupid as
humans. Potentially stupider, Yeah, potentially

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stupider. The opposite of artificial intelligence
is natural stupidity, right, Yeah,

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although you know, it's a ton
of operator air from what I'm saying,

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a lot of those stupid results are
just because the operators don't know what the

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hell they're going. Why are you
having existential debates with a search engine?

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Right? We all saw the one
where we're all laughing, Like the guy

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who wrote this very ponderous piece at
the Washington Boats were like, yeah,

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dude, you're like completely treating it
like an entity. It's literally every single

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time you ask it a question,
it's only uh, I know, it

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doesn't have a brain, you're acting
like as a brain. It's software.

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But here's the thing, though,
Um, companies are going to get dinged

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for these things representing them in ways
they don't want to be represented. Yeah.

300
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Um, this has just happened with
with being right. Microsoft, they

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basically allowed open ended discussions with their
AI, and what happens they've noticed is

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after maybe twenty iterations back and forth
on the same subject, the box starts

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to lose its You know what,
Now I now know why I actually was

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able to talk to some folks on
the inside. Yeah, because it's a

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software problem. It's a bug interesting
like a bug bug, or like it's

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it's it is solvable. They brought
but they solved it by not hitting the

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limits. Look this whole mechanism about
context, right, yeah. Yeah,

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So your parser reads what you've written
and it tokenizes it, so it knows

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how to respond to it, and
it puts it into cash. So the

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next thing, then it writes a
response, which is also tokenized. Then

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you write your next response in order
to maintain context, it tokenizes that,

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then it reads them all together and
creates a response. Eventually you overflow the

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cash. Oh so you've got too
many layers of recursive tokenizing. That's right,

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you just run out of room.
They've only allocated so much space for

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tokens. This is why you get
it. Well, the oldest tokens fall

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off the back, and the oldest
tokens are typically the ones shaping things.

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Yeah, because you need the umbrella
thought. Because a lot of times your

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first question sets your umbrella, your
umbrella. Yeah. The best demonstration I've

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done of this is I fired up
chat GPT. It says, only talk

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to me an iambic pentameter, and
then just chat away with it, and

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at some point it forgets. I
love when you give it rules and it's

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like a four year old. Right. Yeah, I told you not to

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talk to me, but you want
to know what the limits of the cash

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are. Put key instructions at the
beginning of the cap. But to get

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back to the bing thing, this
chatbot kept insisting to New York Times reporter

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Kevin Ruse I guess that he didn't
actually love his wife and said that it

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would like to steal nuclear secret and
yeah, okay, but it's a bot.

328
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It's not going to steal. There
was another situation where somebody in one

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of our rds actually convinced the bot
that, you know, fifteen plus three

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equal twenty one, and the bot
said, yes, I'm sorry, you

331
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are right, fifteen plus three equals
twenty one. And then I to test

332
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it, went back and asked it, what's fifteen plus three and said eighteen.

333
00:23:34.119 --> 00:23:37.359
Yeah, because it didn't remember that
previous conversation, because that's not how

334
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it's spelled. It doesn't have the
context from all the other conversations it's had

335
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with all these other people. It
only has its context from you, because

336
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when it does combine all the contexts, you end up with TA. Okay,

337
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you got to explain that the original
TA was the original Microsoft bot.

338
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I go back at twenty eighteen,
which within ten hours had turned into a

339
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race of psychopath because it was combining
everything that people were throwing at it,

340
00:24:02.920 --> 00:24:04.200
right, Yeah, and they were, and they were testing its limits.

341
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There are tons of edge cases.
It wasn't when they took it down.

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00:24:07.799 --> 00:24:10.920
And yeah, I'm still not convinced
they're not going to take this down.

343
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I'm not. I'm not convinced either, and I don't. I think it's

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a wonderful experiment. I think it's
an experiment on the people using it as

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much on the software itself. I
wonder how much of this is almost another

346
00:24:22.240 --> 00:24:26.319
kind of Stanford experiment. Yeah,
maybe how lonely are people that they're having

347
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these conversations, you know, I
want to I want to tackle this from

348
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another angle as well. You know
what, This also reminds me of a

349
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lot of the complaints about Mechanical Turk, when people were talking about what happens

350
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when you put all this effort out
to people to automate stuff that you know,

351
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pennies on the task, right,
And I've done that, and actually,

352
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you know, one of my other
lives, one of the reasons I

353
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do the radio show, it was
as a dictionary editor. So I actually

354
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did a paper for the Dictionary Society
of North America and presented it what when

355
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you ask people on mechanical turk to
write dictionary entries? And so I found

356
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a bunch of fairly common words that
weren't in any major dictionary, and I

357
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created a bunch of tasks. And
first I had people find sample sentences use

358
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these words, and then I had
another whole bunch of people use those sample

359
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senses to approximate dictionary style entry.
And then I had another batch of people

360
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trim them down and make them look
like ractual dictionary entries with parts of speech.

361
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And it actually worked pretty well.
It was more expensive than having an

362
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actual dictionary editor to do it.
But and now I have a paper proposal

363
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before that same Dictionary Society to see
what chat GPT does. And I'm also

364
00:25:38.519 --> 00:25:45.759
going to use stable diffusion or a
variety of some other AI image generator to

365
00:25:45.799 --> 00:25:53.720
create dictionary style illustrations for those definitions. See if I can't scare the lexicographers,

366
00:25:53.880 --> 00:26:00.119
nice do blaying up against the plagiarism
aspect too. I really that Martha

367
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did that work to check all the
sentences. Just because you had you scrape

368
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something off the web and run it
through a synonym engine, you know,

369
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doesn't make it original work, right, it just doesn't search well, yeah,

370
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because it's it's even though it's not
good texts that generates it's plausible right,

371
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Yes, Now it's definitely a Dunning
Krueger amplifier. If you know nothing

372
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about a subject, all this stuff
looks great. Well, that's Wikipedia,

373
00:26:23.119 --> 00:26:30.440
indeed. Yeah. I love going
to Wikipedia and finding like something that's been

374
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in there for years and I know
it is fundamentally wrong. Yeah. I

375
00:26:33.160 --> 00:26:38.319
go to Wikipedia for the footnotes.
It gives me interesting places to go look

376
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for information. It's not information itself. Well, that's the researcher's attitude.

377
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I go to I go find a
paper and I look at its bibliography and

378
00:26:45.400 --> 00:26:49.400
suddenly I know how the path to
become an expert on the thing. Sure

379
00:26:49.799 --> 00:26:53.880
you at least know what those authors
thought was important, whether they found or

380
00:26:53.920 --> 00:27:00.400
at least you know what other papers
they pillaged for. Right. So another

381
00:27:00.400 --> 00:27:03.920
point of inflection that you guys talked
about on the show and still talk about

382
00:27:03.000 --> 00:27:10.440
quite a bit is texting language and
how you know people are afraid because kids

383
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have their phones and their you know, their heads down in their phones.

384
00:27:12.359 --> 00:27:17.480
And then we don't talk about it
that much anymore. But you you talked

385
00:27:17.480 --> 00:27:19.880
about that book and I went and
read the book because internet is at it.

386
00:27:21.440 --> 00:27:23.559
Yeah. Yeah, but Greta McCulloch, it's a fantastic book. It's

387
00:27:23.559 --> 00:27:27.759
one of the best books written on
internet language ever. It's being used in

388
00:27:27.759 --> 00:27:30.440
classrooms now, that's how good it
is. It's awesome, and that the

389
00:27:30.440 --> 00:27:36.000
basic tenant is, look, you
know these this is definitely changing the language.

390
00:27:36.599 --> 00:27:40.200
You know, law is a word
now, not just land of lakes.

391
00:27:40.720 --> 00:27:42.799
Yeah, it's in context. Yeah, and it doesn't mean lots of

392
00:27:42.839 --> 00:27:47.519
love. It depends on the context. But yeah, it's context sensitive.

393
00:27:47.799 --> 00:27:52.319
What the reason I said we don't
talk about texting languages for some people that

394
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in their mind it's just these very
specific things like b R B or LLL

395
00:27:57.839 --> 00:28:02.680
or OMG. But there's so much
more to it. And Gretchen gets into

396
00:28:02.720 --> 00:28:10.880
that about all these different ways that
we express emphasis and laughter and sarcasm or

397
00:28:11.240 --> 00:28:17.799
community or insiderness or outsiderness and hesitation. There's so much more to there's so

398
00:28:17.880 --> 00:28:22.160
many more layers, and what you
think of as an error maybe having may

399
00:28:22.200 --> 00:28:26.519
have a message attached to it.
Lack of capitalization or punctuation may have a

400
00:28:26.640 --> 00:28:32.160
point, and you need to understand
that. But what's really important is that

401
00:28:32.240 --> 00:28:37.240
again the moral panic about what does
it all mean when people don't capitalize and

402
00:28:37.279 --> 00:28:42.279
punctuate their text messages has vanished.
It's mostly gone. And what we discovered

403
00:28:42.400 --> 00:28:47.880
was that people really do care about
their speech. And then when we all

404
00:28:47.960 --> 00:28:52.599
moved from those bar phones that had
we only had ten nine entry of our

405
00:28:52.759 --> 00:28:59.440
text messages and went to touch phones
with haptic response, with full keyboards,

406
00:29:00.119 --> 00:29:03.279
we could finally type whole sentences.
We did, right, most of us

407
00:29:03.359 --> 00:29:07.079
do. Most of us type the
best that we can. But then it

408
00:29:07.200 --> 00:29:10.960
also then we also were brought in
a chart of emojis, of ever ever

409
00:29:11.000 --> 00:29:15.240
expanding emojis. Yeah, and those
actually have expanded our ability to communicate.

410
00:29:15.400 --> 00:29:19.599
They're the new hieroglyphs. Well,
but they're necessary. There's something I talk

411
00:29:19.680 --> 00:29:23.559
about and I don't have given this
presentation a while, but I'll the version

412
00:29:23.599 --> 00:29:30.279
of it I'll give to you is
there's something called parallinguistic restitution. The vocal

413
00:29:30.440 --> 00:29:36.400
version of speech is speech. The
written version is only a pale invitation of

414
00:29:36.400 --> 00:29:41.279
what we speak aloud, and it'll
never catch up with the spoken version ever,

415
00:29:41.720 --> 00:29:45.200
And so we're constantly trying to make
the written version accommodate all the things

416
00:29:45.240 --> 00:29:49.359
we can do with our spoken language, and it really never catches up.

417
00:29:49.400 --> 00:29:56.000
But paral linguistic restitution is what we
do when we make things like emoji,

418
00:29:56.400 --> 00:30:00.000
or when we make things like emoticons, or when we do clever little things

419
00:30:00.039 --> 00:30:03.960
with punctuation. It's when we're adding
back in gestures by making a smiley face,

420
00:30:04.440 --> 00:30:08.400
or we're adding back in a grimace
by putting the right emojians. Still,

421
00:30:08.440 --> 00:30:11.640
I never felt older than when my
teenager came up to me and said,

422
00:30:12.119 --> 00:30:18.920
hashtag I'm hungry. I don't know
about old, but I've always thought,

423
00:30:18.000 --> 00:30:21.839
you don't have to say hashtag.
You don't have to say hashtag yeah

424
00:30:21.880 --> 00:30:25.680
okay. But also every emotions no
word following it. When it's just the

425
00:30:25.720 --> 00:30:27.400
hash symbol, it's not a hashtag. It has to have a word following

426
00:30:27.400 --> 00:30:32.240
it, so to stop that.
Yeah, it's you can call it a

427
00:30:32.279 --> 00:30:34.759
hash. You can remember. There
are some things that really Bud Graham Barrett,

428
00:30:34.799 --> 00:30:40.000
this is good to know a few. What are some of the others.

429
00:30:40.759 --> 00:30:44.839
I'm not telling you have to listen
to all five hundred episodes. Well

430
00:30:44.880 --> 00:30:47.599
I have. I appreciate that.
I just don't remember them. I feel

431
00:30:47.599 --> 00:30:48.720
sorry for you. Who made you
do that? Now? Me? I

432
00:30:48.759 --> 00:30:52.359
did it on my own. Like
when he was in prison, they didn't

433
00:30:52.160 --> 00:30:55.880
play like Guns and Rosens to full
Ball and they played our show. Nice

434
00:30:56.359 --> 00:31:00.759
guys made two thousand plus podcasts.
He does not recommending through the whole back

435
00:31:00.799 --> 00:31:04.400
catalog, but he does it himself
anyway. Oh, it's its own kind

436
00:31:04.400 --> 00:31:07.640
of OCD. And so that's those
are those are prison bars I see in

437
00:31:07.680 --> 00:31:12.039
the background there absolutely okay, And
I got interrupt for one moment for this

438
00:31:12.160 --> 00:31:18.039
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451
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to AWS dot Amazon dot Com,
slash net and we're back. It's dot

452
00:32:29.960 --> 00:32:32.119
net Rocks. I'm Richur Campbell.
That's call Franklin, Yo. Talking to

453
00:32:32.160 --> 00:32:37.960
our fellow podcaster Grant Barrett, who's
also a lexographer. And I didn't really

454
00:32:37.960 --> 00:32:43.000
think that lexographers were that much fun. It's lexicographer, a lexicographer. Yeah,

455
00:32:43.000 --> 00:32:49.359
well you're you're okay with with US
languages? Yeah, you're in good

456
00:32:49.359 --> 00:32:52.720
company though. The very first radio
interview I ever did was with an Australian

457
00:32:52.920 --> 00:32:55.960
station promoting my first book, and
the guy called me a lexiographer the whole

458
00:32:55.960 --> 00:33:00.079
time and igrapher. Yeah, when
you're doing a live radio interview, you

459
00:33:00.160 --> 00:33:04.039
just don't correct people. It's like
correcting your father at the dinner table.

460
00:33:04.039 --> 00:33:07.039
You just don't do it. All
right, So we're not going to learn

461
00:33:07.200 --> 00:33:12.480
the other pet peeves unless you listen
to a way with words. But certainly

462
00:33:12.559 --> 00:33:15.920
this sort of inflection point, as
you call it, is really interesting,

463
00:33:16.039 --> 00:33:22.839
especially for programmers because this, you
know, for years, other people have

464
00:33:22.960 --> 00:33:28.079
been looking at us as programmers,
as people that are replacing their jobs.

465
00:33:28.359 --> 00:33:34.559
Right, we automate. That's our
job to write automation software to make people's

466
00:33:34.559 --> 00:33:38.400
who do those jobs either less brain
dependent, you know, push the button,

467
00:33:39.079 --> 00:33:43.160
or eliminate them all together. I
mean that's the perception. I'm not

468
00:33:43.200 --> 00:33:49.160
saying it's true. I would say
that software has increased the number of available

469
00:33:49.240 --> 00:33:53.960
jobs and change those jobs from sort
of menial tasks to things that have meaning.

470
00:33:54.519 --> 00:33:59.039
But they're new jobs and on people
to retrain. And if you don't

471
00:33:59.039 --> 00:34:01.440
want to retrain, that's on them. But now the shoes on the other

472
00:34:01.480 --> 00:34:05.720
foot. Now programmers are like,
oh my god, chat GPT, you

473
00:34:05.720 --> 00:34:07.159
can tell it to write a program
that does acts and it will just spit

474
00:34:07.199 --> 00:34:12.880
it out. Might not be right, but I've actually used it, and

475
00:34:13.159 --> 00:34:15.639
you know, how do how do
I do that little thing again? And

476
00:34:15.679 --> 00:34:19.920
I asked it and for the most
part it works, but sometimes it doesn't.

477
00:34:19.639 --> 00:34:22.199
Like I totally do that because I'm
the worst. The most program I

478
00:34:22.280 --> 00:34:24.920
know is a little bit of Pearl
script doing a little bit of a little

479
00:34:24.960 --> 00:34:29.800
bit of Python, and mainly I
just like, yeah, but you ran

480
00:34:29.840 --> 00:34:34.320
an Exchange struggle of all these crap
scripts that I do my little work with,

481
00:34:34.440 --> 00:34:37.599
but you ran Exchange, and this
is where you and Richard have common

482
00:34:37.679 --> 00:34:40.880
but we both know pain. Oh
god, I did pain. But also

483
00:34:40.960 --> 00:34:45.360
I got to work with I actually
loved like things like Skip or Cisco servers,

484
00:34:45.400 --> 00:34:51.440
you know, blocking blocking everything coming
in with us, the original iOS.

485
00:34:52.199 --> 00:34:54.000
It was just nice. It was
just nice just to see all that

486
00:34:54.039 --> 00:34:59.079
stuff bounced back and never enter your
network. Just watch those logs and you're

487
00:34:59.079 --> 00:35:01.840
like, they did it. I
did it. All that intrusion not showing

488
00:35:01.880 --> 00:35:07.599
up into my networks weak. It
is interesting that programmers now are feeling that

489
00:35:07.719 --> 00:35:14.280
existential dread of you know, Chat
GPT kind of taking their jobs. You

490
00:35:14.320 --> 00:35:17.639
know, you know, it's not
just an inflection point, it's I want

491
00:35:17.679 --> 00:35:22.039
to emphasize that point about it being
a bridge. I've had the good fortune

492
00:35:22.159 --> 00:35:27.639
to be on a lot of different
bridge points in history. For example,

493
00:35:27.679 --> 00:35:32.000
when I worked in newspapers, I
bridged the print paste up era where you

494
00:35:32.039 --> 00:35:37.880
actually paste it up the paper and
shot it with a camera. But that's

495
00:35:37.880 --> 00:35:40.079
how you went to press to the
digital era, where you did it all

496
00:35:40.199 --> 00:35:44.960
on a you know, a Mac
see with a floppy test and PageMaker.

497
00:35:45.920 --> 00:35:49.480
And I remember going to the press
and there was a guy working in the

498
00:35:49.519 --> 00:35:53.079
press room who was very disgruntled that
I was taking his job because we were

499
00:35:53.119 --> 00:35:55.559
doing it on a Mac and we
weren't doing it the old fashioned way.

500
00:35:55.559 --> 00:36:00.840
Were used a line of type machine
to output the ages. There was this

501
00:36:00.239 --> 00:36:06.639
giant thing that involved chemicals and this
weird custom keyboard, and he was very

502
00:36:06.639 --> 00:36:08.719
angry about it that his job was
gone. You know, there's all of

503
00:36:08.880 --> 00:36:14.880
these technological innovations. Somebody's going to
do it shifted, but if they can't

504
00:36:14.960 --> 00:36:17.400
keep up, it's on them.
That's how I feel. Yeah, I

505
00:36:17.440 --> 00:36:20.679
mean, I want to have some
compassion for Yeah, you're going to need

506
00:36:20.679 --> 00:36:23.360
to be retrained. Yeah, but
I also believe in the growth model here.

507
00:36:23.679 --> 00:36:28.599
When we brought the web into travel, we eliminated a lot of travel

508
00:36:28.639 --> 00:36:32.400
agents, but we actually grew the
overall travel travel business so much there's many

509
00:36:32.480 --> 00:36:37.440
more jobs than the ones that were
eliminated. I just don't think that getting

510
00:36:37.519 --> 00:36:40.800
chatchyp Hall to find some code for
you to use is that different from you

511
00:36:40.880 --> 00:36:45.320
googling it or stackle, stack overflow. It's the same gig. It's just

512
00:36:45.360 --> 00:36:47.599
like now you're doing any different context, and I think it are I think

513
00:36:47.639 --> 00:36:52.440
it shifts the low end of the
business. It shifts the entry level business,

514
00:36:52.480 --> 00:36:57.880
and maybe that's the larger problem those
It shifts an entry point for the

515
00:36:57.920 --> 00:37:01.360
beginning programmer. How to I enter
as a brand new programmer? How do

516
00:37:01.440 --> 00:37:07.760
I get my name recognition out there
on the different freelance marketplaces. How do

517
00:37:07.840 --> 00:37:10.960
I start, and as in a
small country, to make a few bocks.

518
00:37:12.280 --> 00:37:15.719
If GPT is going to do this
for everyone, you know, how

519
00:37:15.760 --> 00:37:19.239
do I make a little bit of
extra money on the side. I don't

520
00:37:19.239 --> 00:37:21.920
know. There are some people who
are going to be cut out and retraining

521
00:37:21.920 --> 00:37:24.239
isn't going to solve it for them. Well, and folks have talked about

522
00:37:24.280 --> 00:37:30.599
you'll use chap EGPT and your ability
to craft requests of that engine. It

523
00:37:30.000 --> 00:37:32.719
turns out to be your actual skill, and in the end you have to

524
00:37:32.719 --> 00:37:37.400
decide whether or not what they gave
you is good or not. Back in

525
00:37:37.440 --> 00:37:42.400
the early days of programming, I
sort of glibly said, you know,

526
00:37:42.440 --> 00:37:45.360
maybe the only job left in the
world someday will be programmers. Amber Scott

527
00:37:45.400 --> 00:37:51.559
Stanfield said, yeah, and battery
makers. Programmers and battery makers. That's

528
00:37:51.599 --> 00:37:52.880
those of you, the only jobs
left. Now I'm thinking, you know,

529
00:37:53.159 --> 00:37:58.880
proofreaders might be the only job left
someday in the literary world. Oh

530
00:37:58.960 --> 00:38:01.440
dude, they're being cut in the
newspaper business, so I wouldn't even publishing

531
00:38:01.440 --> 00:38:05.239
business. I wouldn't even count on
that. Really. Oh yeah, yeah,

532
00:38:05.280 --> 00:38:08.039
it's it's they're one of the first
jobs to be cut in publishing.

533
00:38:08.320 --> 00:38:12.480
Yeah. Well it shows, um, it does, it really does.

534
00:38:12.719 --> 00:38:15.039
I can't tell you how many errors
I see. And my wife, Kelly,

535
00:38:15.119 --> 00:38:21.519
Kelly, my wife is very um
attentive when it comes to details,

536
00:38:21.679 --> 00:38:24.239
right, and so she can spot, she says. She also says she

537
00:38:24.239 --> 00:38:29.280
should be a continuity person on a
movie set. M H, same thing,

538
00:38:29.400 --> 00:38:32.239
details details. Your coffee cup is
in your left hand, that last

539
00:38:32.239 --> 00:38:35.719
shot. You moved it to your
right hand, putting your arms up not

540
00:38:35.880 --> 00:38:38.840
down. Yeah. Right. But
I wonder if we're on a I wonder

541
00:38:39.159 --> 00:38:43.559
if we are, have been,
and are now accelerating down a path of

542
00:38:43.800 --> 00:38:50.719
like a version of yellow journalism,
this idea of the quality eventually the you

543
00:38:50.719 --> 00:38:55.039
know, yellow journalism was that the
time when folks were sensationalizing news back in

544
00:38:55.079 --> 00:38:59.920
the in the broadsheet era, and
eventually people stopped reading it because it was

545
00:39:00.039 --> 00:39:04.000
garbage and the industry had to change. And I wonder if we're not on

546
00:39:04.000 --> 00:39:07.480
that exact path where it's like,
hey, quality matters, and eventually people

547
00:39:07.480 --> 00:39:13.079
will ignore it because it's garbage.
Well, I've sat in on a lot

548
00:39:13.239 --> 00:39:16.079
of the future of news panels.
There's nothing news people love to talk about

549
00:39:16.119 --> 00:39:21.159
more than the future of their business. And this is a this has been

550
00:39:21.199 --> 00:39:22.840
a topic for as long as I've
been involved in the news business, which

551
00:39:22.880 --> 00:39:30.039
is like thirty years exactly this question. And generally the consensus is, and

552
00:39:30.079 --> 00:39:35.519
it has always been, there's not
enough division between opinion and news, and

553
00:39:35.679 --> 00:39:38.960
there never will be because there's too
much money and opinion and the public doesn't

554
00:39:38.960 --> 00:39:43.079
know how to separate the two either. When you put opinion at the top

555
00:39:43.119 --> 00:39:45.519
of the page or on the chiron
at the bottom of the screen, people

556
00:39:45.519 --> 00:39:50.719
still think it's news. But we're
talking about an inflection point. This may

557
00:39:50.760 --> 00:39:53.679
be part of that inflection point is
to say that that we do need to

558
00:39:53.719 --> 00:39:59.119
discriminate on these things. It has
happened before. I cite the yellow journalism

559
00:39:59.159 --> 00:40:01.800
case as a what are the few
cases where it did happen. Yeah,

560
00:40:01.800 --> 00:40:06.159
but what I'm saying. What I'm
saying is in the last thirty years of

561
00:40:06.679 --> 00:40:08.920
all we've seen is the rise of
the twenty four hour news channel, which

562
00:40:08.960 --> 00:40:15.320
is what eighty percent opinion and twenty
percent hard news, eighty percent advertising,

563
00:40:15.480 --> 00:40:21.119
ten percent opinion and ten percent news. Yeah, well, and lots of

564
00:40:21.159 --> 00:40:23.760
repeating over and over and over again. It's expensive. What do you think

565
00:40:23.760 --> 00:40:30.119
of Twitter? Well, God help
me. Yeah, we kind of feeling

566
00:40:30.159 --> 00:40:34.000
that dread too. I mean,
it was such a great language research tool

567
00:40:34.119 --> 00:40:37.360
until these new fees. I guess
they're not underway quite yet, but these

568
00:40:37.400 --> 00:40:43.559
new fees are now threatening a great
language research tool. Yeah, where the

569
00:40:43.960 --> 00:40:52.039
geocoding on tweets meant that you could
actually do really sophisticated time based, region

570
00:40:52.119 --> 00:40:58.760
based database searches. And say this
is a term is more common here and

571
00:40:58.840 --> 00:41:02.039
less common there um and has been
over the last ten years or however long

572
00:41:02.079 --> 00:41:08.000
Twitter has been a thirteen years?
How long his Twitter fifteen maybe fifteen m

573
00:41:08.480 --> 00:41:14.480
And so now we have longitudinal data
and it's fantastic for that, And now

574
00:41:14.519 --> 00:41:16.599
that's going to be just thrown in
the crapper. Yeah, I'm not.

575
00:41:16.639 --> 00:41:20.960
I mean, I'm not convinced.
I don't think Twitter is all that important

576
00:41:20.960 --> 00:41:22.320
to Elon. Actually, I think
he's mostly just trying to get out of

577
00:41:22.320 --> 00:41:25.039
the situation he's in, Like,
I wonder if we're not going to get

578
00:41:25.039 --> 00:41:29.400
back to something, but he blew
up the revenue model, so he's just

579
00:41:29.400 --> 00:41:32.679
trying to scrounge around for revenue.
Dingdong. Yeah, I agree, what

580
00:41:32.800 --> 00:41:37.639
a terrible, terrible waste of time. Yes, it was a good product.

581
00:41:37.360 --> 00:41:39.480
Maybe it'll get back there. I
don't Yeah, maybe you're right,

582
00:41:39.519 --> 00:41:43.880
Maybe it we'll get back there,
because ultimately it doesn't bat at the same

583
00:41:43.960 --> 00:41:46.760
level as getting people to Mars are
inventing the electric car, Like, why

584
00:41:46.760 --> 00:41:50.360
are you wasting time out? Yes, I just wish he would spend more

585
00:41:50.360 --> 00:41:52.400
time with his family. Yeah,
yeah, that that dude needs a friend.

586
00:41:52.440 --> 00:41:54.920
Like in a worse way. I'm
just saying, like out of the

587
00:41:54.920 --> 00:41:59.800
public eye, he just he needs
attention, and he's got all those people

588
00:42:00.079 --> 00:42:02.239
who could get him all the attention
he ever wanted. Yeah, I think

589
00:42:02.239 --> 00:42:07.480
he went off the rails when Grimes
left. Like the Elon that was kind

590
00:42:07.480 --> 00:42:09.079
of fun. You're the guy who
said let's fly my sports car into space

591
00:42:09.159 --> 00:42:13.480
like that. Yeah, that was
a great elon. And that's when he

592
00:42:13.559 --> 00:42:15.800
had he had a significant other around
him. That was, you know,

593
00:42:15.880 --> 00:42:20.039
at least something you reflect against this
and she's been gone. He's just gotten

594
00:42:20.039 --> 00:42:22.440
progressively crazier. Yeah. I don't
I don't know enough about his personal life.

595
00:42:22.480 --> 00:42:25.199
I just I just know how you
know. I'm just trying to focused

596
00:42:25.360 --> 00:42:30.360
on the utility of the tool rather
than the nature of the man. And

597
00:42:30.400 --> 00:42:35.639
the utility of the tool is is
decline, especially for a guy like you,

598
00:42:35.920 --> 00:42:38.840
like he were saying, a great
research tool for language usage. It

599
00:42:38.920 --> 00:42:43.559
really is. Look at the work
by Jack Grieve if you just type in

600
00:42:43.639 --> 00:42:46.719
Jack Grieves g R I e vee
just type in Jack Grieve linguist. He's

601
00:42:46.760 --> 00:42:54.639
written some phenomenal papers using Twitter and
showing African American English online in British English

602
00:42:54.639 --> 00:43:00.920
and just different ways you can track
regionality using Twitter. It's brilliant stuff,

603
00:43:00.079 --> 00:43:06.639
just brilliant stuff. Well, and
that only works if Twitter is serving as

604
00:43:06.679 --> 00:43:12.079
that sort of Piazza model where you
have a significant portion of the population's routinely

605
00:43:12.119 --> 00:43:21.280
communicating, right, a broad spectrum
across all ethnic backgrounds and economic backgrounds and

606
00:43:21.360 --> 00:43:23.559
political backgrounds. Right. But if
it's going to shift very far right,

607
00:43:23.599 --> 00:43:28.519
we're going to lose that. Are
there any other tools out there that can

608
00:43:29.000 --> 00:43:31.400
that have potential in your mind to
be used in the same way someday?

609
00:43:31.599 --> 00:43:36.239
No, No, no, nothing
else geocodes like that. It's not online.

610
00:43:36.239 --> 00:43:38.039
As far as I know, I've
not thought of Twitter as all that

611
00:43:38.159 --> 00:43:42.679
special until I hear what you do
with Yeah, I'm like, Okay,

612
00:43:42.960 --> 00:43:45.360
it's because it's not the product of
Twitter is. It's a byproduct, but

613
00:43:45.400 --> 00:43:49.199
it's an important byproduct. Yeah,
that's right. That A lot of the

614
00:43:49.239 --> 00:43:53.719
work that we do is linguist and
mexicographers is based on byproduct. For example,

615
00:43:53.920 --> 00:44:00.079
I learned years ago to use Google
alerts to track new words because writers,

616
00:44:00.199 --> 00:44:05.079
authors, journalists will often tag words
that are new to the vocabulary with

617
00:44:05.119 --> 00:44:10.280
phrases like also known as are known
to police as are referred to by referred

618
00:44:10.320 --> 00:44:15.719
to by um chemists as. So
that I have like three or one hundred

619
00:44:15.840 --> 00:44:20.039
or so expressions, and then following
those expressions, is a word is a

620
00:44:20.039 --> 00:44:22.880
new word? Yeah? Possibly a
new word? Yeah. I was gonna

621
00:44:22.880 --> 00:44:24.159
say, how do you how do
you filter for new words? Yeah,

622
00:44:24.280 --> 00:44:28.800
but no, it's it's when people
are trying to relate that contact for the

623
00:44:28.880 --> 00:44:31.880
relation phrases, yeah, and then
they'll sometimes define them right, and so

624
00:44:32.280 --> 00:44:37.000
you know, it's not very successful. I mean, I could probably automate

625
00:44:37.039 --> 00:44:40.159
that if I wanted to hire somebody, But you know, for a while

626
00:44:40.159 --> 00:44:44.079
there, I was just reading those
alerts and marking down the words that were

627
00:44:44.079 --> 00:44:46.719
new to me also, and it
was pretty successful. I found thousands and

628
00:44:46.760 --> 00:44:51.480
thousands of words that way. Yeah. I think you also used Google books

629
00:44:51.719 --> 00:44:55.159
right to find the in other tools
that you have at your disposal, to

630
00:44:55.239 --> 00:45:00.480
find the first time word has been
scene or a phrase has been seen in

631
00:45:00.559 --> 00:45:04.840
print. Yeah, you know,
it's always like, as far as we

632
00:45:04.880 --> 00:45:07.440
know, you always have to add
that shad that caveat as far as we

633
00:45:07.480 --> 00:45:09.599
know. Yep. These days,
I more often use archive dot org.

634
00:45:10.079 --> 00:45:15.119
Yeah, because they have done they
have a grant great new search engine by

635
00:45:15.159 --> 00:45:20.039
the way that it allows date range
searches. And although the OCR is kind

636
00:45:20.079 --> 00:45:23.880
of iffy because it uses I think
a modified version of tess iact, which

637
00:45:23.960 --> 00:45:28.400
is way better than it used to
be, but it's still not perfect and

638
00:45:28.440 --> 00:45:31.920
it often depends upon script recognition,
which isn't that great, so sometimes it

639
00:45:32.000 --> 00:45:37.320
will misrecognize, for example, of
Cirillac as another language. But it's pretty

640
00:45:37.320 --> 00:45:42.159
good. I just found in an
old um website that I used to run

641
00:45:42.159 --> 00:45:45.639
and started in nineteen ninety four,
Carling Carey's VB homepage. It's where I

642
00:45:45.679 --> 00:45:49.440
first ran across you back in the
day. Yeah, but what I'm talking

643
00:45:49.440 --> 00:45:52.760
about is the books portion of archive
dot org, and that's where the gold

644
00:45:52.920 --> 00:45:57.360
is. The wet portion, the
books portion of Archive, That's where the

645
00:45:57.360 --> 00:46:00.239
gold is. Yeah. If you're
going to donate money on Internet Resource stone

646
00:46:00.239 --> 00:46:02.760
it to archive dot org. Yeah, I do. I give. It's

647
00:46:02.800 --> 00:46:05.840
not a lot, but I give
them like twenty five a month. Wow.

648
00:46:06.000 --> 00:46:07.679
That's nice because I make such a
huge use of this side. And

649
00:46:07.719 --> 00:46:12.920
then there's a few software projects like
since I use OCR and I PDF pretty

650
00:46:12.920 --> 00:46:15.920
regularly, so sometimes I'll download something
that I don't think was OCR very well

651
00:46:15.960 --> 00:46:21.400
there, and then I'll run OCR
my PDF on it, which is great

652
00:46:21.480 --> 00:46:25.800
script just wonderful. It's got tests
iact on the back end. It's Python

653
00:46:25.880 --> 00:46:30.639
based. You throw a PDF at
it, tell it which languages the it

654
00:46:30.719 --> 00:46:35.960
should OCR with, and it just
wonderful things like de skewing and some a

655
00:46:36.000 --> 00:46:42.400
little bit of contrast correction. Just
fantastic, Just kind of a nice front

656
00:46:42.480 --> 00:46:45.119
end for tests direct to handle some
of the real common cases. So it

657
00:46:45.119 --> 00:46:51.239
converts some PDF to PDF. Just
fantastic, beautiful. Yeah. Why do

658
00:46:51.360 --> 00:46:52.519
new words emerge? I mean,
I can think of a few reasons,

659
00:46:52.519 --> 00:46:55.440
but I like to hear your version
of that. Well, in your business.

660
00:46:55.480 --> 00:46:58.639
You know why they emerge? In
the tech business, You get a

661
00:46:58.639 --> 00:47:01.239
new product. It doesn't is a
new problem, and that new problem has

662
00:47:01.239 --> 00:47:06.320
a name, right, It's often
a silly name like zing boing or something.

663
00:47:06.480 --> 00:47:09.760
Well, what I'm talking about For
example, if we oh, speaking

664
00:47:09.760 --> 00:47:14.519
of Elon Musk, what did he
create upstairs in the sky? He created

665
00:47:14.760 --> 00:47:20.760
mum starlink starlink? What is starlink? When you see all those satellites together,

666
00:47:20.920 --> 00:47:23.400
it's a mega constellation. Right,
So that's a new word because he

667
00:47:23.440 --> 00:47:29.360
created something that didn't exist before a
mega constellation, and so you're you're creating

668
00:47:29.400 --> 00:47:32.599
new terms to describe new things.
Yeah, often it is, and it's

669
00:47:32.599 --> 00:47:37.559
easier with nouns, and it's easier
when you're not creating new senses for verbs,

670
00:47:37.559 --> 00:47:42.119
those are much harder, or new
senses for words, those are much

671
00:47:42.119 --> 00:47:46.320
harder to come across and to notice. But but generally, it's about the

672
00:47:46.360 --> 00:47:52.119
advancement of ideas, culture, people. It's about things changing, and that's

673
00:47:52.119 --> 00:47:54.400
when the language has to change too. I learned so many great terms from

674
00:47:54.400 --> 00:47:59.880
listening to yours, like your show, like voluntold is a great one,

675
00:48:00.400 --> 00:48:02.880
has been volun told. Anybody who's
worked in the military knows that way.

676
00:48:04.719 --> 00:48:08.480
That's a great word and it doesn't
require explanation. You know. So many

677
00:48:08.519 --> 00:48:15.760
of our three letter acronyms TLAs are
just so baffling to people who don't who

678
00:48:15.800 --> 00:48:21.559
aren't in the business, that we
have to constantly stop and define what what

679
00:48:21.679 --> 00:48:23.480
we're talking about. Yeah, we
put a show in the can this week

680
00:48:23.800 --> 00:48:29.000
that you'll hear in a couple weeks. Martha and I talked with a caller

681
00:48:29.039 --> 00:48:32.440
who was telling us about working with
Aussie's people from Australia, and he was

682
00:48:32.480 --> 00:48:38.880
talking about how mysterious their language was
at first. And so sometimes the language

683
00:48:38.960 --> 00:48:45.360
changes just because you have this natural
friction with other groups of people, so

684
00:48:45.440 --> 00:48:50.039
you you pick up how they speak, you know, and it becomes part

685
00:48:50.039 --> 00:48:57.840
of your speech. So language change
is about osmosis, you know, growth

686
00:48:57.920 --> 00:49:01.639
between different groups of people having to
accommodate each other. Accommodation is a real

687
00:49:02.079 --> 00:49:07.880
big part of new language, an
adoption of other people's speech or adoption of

688
00:49:07.920 --> 00:49:12.920
their ways of living. So,
for example, on the border between Brazil

689
00:49:13.039 --> 00:49:16.480
and all the Spanish speaking countries around
it, there are varieties of language no

690
00:49:16.559 --> 00:49:22.039
as Portugnol, which is a mix
of Portuguese and Spanish, but they're different

691
00:49:22.119 --> 00:49:28.639
depending on which border you're at.
They're each one of them has kind of

692
00:49:28.840 --> 00:49:31.760
created a new crayle, you know, just like the varieties of Spanglish and

693
00:49:31.920 --> 00:49:37.280
spoken along the Mexico US border are
a little different. So Miami Spanglish is

694
00:49:37.320 --> 00:49:45.320
different from Texas Spanglish. Yeah,
just because the English brushing up different kinds

695
00:49:45.320 --> 00:49:49.599
of Spanish. They've just they're varied
when you're banging against different cultures. Like

696
00:49:49.639 --> 00:49:52.559
if you think about the northern countries
in the northern side of Brazil, like

697
00:49:52.639 --> 00:49:57.880
Surinam and Guyana. They've got some
strong French influences too, exactly. Yeah,

698
00:49:58.000 --> 00:50:00.760
it's the same reason that the cabe
Quaff wrench is different from say,

699
00:50:01.000 --> 00:50:06.400
uh, I don't know Martinique French, and they're going to Caribbean for sure.

700
00:50:07.159 --> 00:50:08.880
The other thing I wanted to say
is like in the tech world,

701
00:50:09.320 --> 00:50:15.559
so the jargon of say, people
who work in cloud services versus people who

702
00:50:15.679 --> 00:50:20.840
do front frontline support. They're both
in tech, but they're different flavors of

703
00:50:20.880 --> 00:50:22.760
tech, so they're going to have
some overlap, but they're still gonna have

704
00:50:22.800 --> 00:50:25.800
different lingo. They might have different
lingo for the same stuff. You know,

705
00:50:25.840 --> 00:50:29.880
how they talk about customers for example, or how they talk about service

706
00:50:29.920 --> 00:50:34.719
calls. Yeah. Yeah, I'm
still not convinced that what's happening with the

707
00:50:34.800 --> 00:50:37.199
large language models is going well enough
that it's going to continue. We may

708
00:50:37.599 --> 00:50:43.400
we may be thrown into a winter
like where I think the whole Live with

709
00:50:43.559 --> 00:50:47.639
byng was a pr play. I
think that the most important part of the

710
00:50:47.679 --> 00:50:51.880
case, that what stimulated all this
was one hundred million users signing up for

711
00:50:51.960 --> 00:50:54.400
chat GBT. You think it's a
money grab, Yeah, well, I

712
00:50:54.400 --> 00:50:57.760
think I always think it's a money
grab. I think it's a pr play.

713
00:50:57.840 --> 00:51:01.079
I think byng was in the single
digits of use as a search engine,

714
00:51:01.360 --> 00:51:06.679
and then chat gpt comes along and
we now have evidence, you know,

715
00:51:06.719 --> 00:51:10.159
they've made posts of things talking about
they had been tinkering with a language

716
00:51:10.199 --> 00:51:15.320
model attached to a search engine for
a couple of years. They weren't happy

717
00:51:15.360 --> 00:51:17.719
with it. It wasn't good enough. And then chat gpt comes out,

718
00:51:17.840 --> 00:51:22.159
signs up one hundred million users in
two months. They're like, that's more

719
00:51:22.199 --> 00:51:25.320
people that are using bing. Let's
put it out there. And then Google

720
00:51:25.320 --> 00:51:29.000
freaks out and takes the bait.
I wonder how long it's going to be

721
00:51:29.000 --> 00:51:36.679
before Amazon Alexa has that sort of
contextual memory that it does not really currently

722
00:51:36.719 --> 00:51:39.039
have. Now, I don't know. Alexa has turned out to be a

723
00:51:39.119 --> 00:51:44.599
real money sync for Amazon. It's
something like ten billion dollars put into it,

724
00:51:44.639 --> 00:51:46.800
and it looks like a failing portion
of their business. Well all of

725
00:51:49.199 --> 00:51:52.920
those voice bots all the same time. I mean, it's coming into twenty

726
00:51:52.920 --> 00:51:55.199
twenty three where we have a threat
of an economic downturn. I don't know

727
00:51:55.280 --> 00:51:59.119
we actually have a we have a
threat of one. It's a very stylish

728
00:51:59.199 --> 00:52:02.440
or tech companies to lay people off
and so forth. They're clearly scrutinizing their

729
00:52:02.480 --> 00:52:07.199
businesses and wanting and signally they're going
to cut things that aren't working. And

730
00:52:07.360 --> 00:52:14.360
both Google Home and their voice device
and Amazon Alexa both were supposed to make

731
00:52:14.440 --> 00:52:17.400
money and didn't to the tune of
billions, and so they're saying they make

732
00:52:17.440 --> 00:52:21.679
it noisy. I don't know if
they've actually done anything, but they've made

733
00:52:21.719 --> 00:52:24.360
noises about winding it down. Yeah, exactly what I've been reading, because

734
00:52:24.519 --> 00:52:29.800
from my perspective as somebody who hosts
a radio show and podcasts, I'm always

735
00:52:29.840 --> 00:52:35.480
interested in how many listeners can tune
into my show on those devices. And

736
00:52:35.519 --> 00:52:39.360
it's incredibly hard to make it happen, Yeah, because they're Unfortunately. My

737
00:52:39.440 --> 00:52:43.880
show is called Away with Words,
and there are a zillion songs, and

738
00:52:44.039 --> 00:52:50.159
other podcasts either have episodes or portions
of their programming called Away with Words.

739
00:52:50.320 --> 00:52:53.159
Yeah, and the wrong thing comes
Dude, we have a podcast it starts

740
00:52:53.159 --> 00:53:00.519
with a period. Oh God.
It's really hard that anyway, And it's

741
00:53:00.519 --> 00:53:05.639
surprised a number of people create new
shows constantly called Away with Words without checking

742
00:53:05.800 --> 00:53:08.159
to see if there's another show already
called that. People are just do not

743
00:53:08.280 --> 00:53:12.480
think yeah, yeah, it's not
good for them either. I mean,

744
00:53:12.840 --> 00:53:15.199
so no, I find it.
You have to be very explicit with the

745
00:53:15.239 --> 00:53:19.960
one who starts today. You have
to say, play the latest episode of

746
00:53:19.960 --> 00:53:23.159
the podcast Away with Words with Grant
Barrett and Martha Parnett, and then it

747
00:53:23.199 --> 00:53:27.840
will But yeah, people don't do
No, they don't do that because speech

748
00:53:27.880 --> 00:53:30.719
is supposed to be easy. I
would say it's supposed to be efficient.

749
00:53:30.840 --> 00:53:34.800
I'm supposed to be able to say
very little and you know, and you

750
00:53:35.239 --> 00:53:37.559
or should understand what I'm talking about. How far do you think we are

751
00:53:37.719 --> 00:53:43.519
from the way it works in movies
or Star Trek to speaking to the computer

752
00:53:43.559 --> 00:53:45.920
and having it all be understood.
I think we can't even see our way

753
00:53:45.920 --> 00:53:52.960
there right now because we don't have
real understanding coming from the machine of intent

754
00:53:52.159 --> 00:53:55.679
or any of those things. I
think it's almost like we're in the same

755
00:53:55.719 --> 00:54:00.960
space that Tassel is with the autopilot. You've made something that feels like it

756
00:54:00.960 --> 00:54:05.079
should exist. It has science fiction
context, so people want to believe exists,

757
00:54:05.159 --> 00:54:08.559
and so you ignore how very broken
it actually is. Right, That's

758
00:54:08.559 --> 00:54:13.440
exactly you put it into. So
the words that I was trying to say,

759
00:54:13.599 --> 00:54:15.920
that's exactly how I feel about it, And I wonder if it won't

760
00:54:15.920 --> 00:54:20.679
be thrown into a winter because it
deserves to me. I like that ex

761
00:54:20.760 --> 00:54:23.400
question too. Thrown into a winter
where it just everything chills for a while.

762
00:54:23.480 --> 00:54:25.880
Yeah, put it on ice.
It's kind of like what happened with

763
00:54:25.920 --> 00:54:30.960
electric cars. Electric cars were big
at the beginning of the automoile ears automobile

764
00:54:30.000 --> 00:54:34.559
era, and how long did they
lay in the deepres? Yeah, for

765
00:54:35.079 --> 00:54:37.280
decades and then they you know,
a little a little poke up in the

766
00:54:37.320 --> 00:54:40.880
eighties, in the seventies when with
the oil crisis, and then they went

767
00:54:40.880 --> 00:54:44.800
away again, and a little poke
up in the nineties, and then it

768
00:54:44.840 --> 00:54:47.679
went away again. People in the
crazy billionaire showed up. People gonna yell

769
00:54:47.679 --> 00:54:51.079
at me for saying lay instead of
lie. Just so you know, here

770
00:54:51.079 --> 00:54:57.320
you go. But I grant you
know, it's contextual to us because of

771
00:54:57.360 --> 00:55:01.199
the artificial intelligence winters, right raise. Artificial intelligence first comes up the fifties

772
00:55:01.199 --> 00:55:06.760
with Martin Minsky working for the military. They get some stuff to work,

773
00:55:06.760 --> 00:55:10.599
but their promises are way out of
scope and so winter. Then it reappears

774
00:55:10.639 --> 00:55:15.639
as the expert systems in the seventies
and they build these thirty thousand dollar computers

775
00:55:15.639 --> 00:55:20.639
and sold several thousand of them.
But that's about it. Winter then in

776
00:55:20.679 --> 00:55:22.840
the nineties with the decision tree systems
and deep Blue and so forth, and

777
00:55:22.920 --> 00:55:28.519
playing chess, and it can't get
further than that winter. And then it

778
00:55:28.559 --> 00:55:31.599
comes up again in the twenty eleven's
with Jeffrey Hinton's model and an image net

779
00:55:31.599 --> 00:55:36.639
and vision recognition systems, and that's
what we're the tail into this right now.

780
00:55:36.719 --> 00:55:39.679
Hinton's now saying, here comes another
winter. But you know the big

781
00:55:39.760 --> 00:55:43.280
change now is we have the clouds. So with this huge amount of compute

782
00:55:43.320 --> 00:55:49.159
hanging around and companies highly motivated to
find work for their cloud, clouds are

783
00:55:49.159 --> 00:55:52.639
full arranging the kicker to all this
open AI stuff and jatchebetween all these things

784
00:55:52.800 --> 00:55:58.360
all consume cloud. I have a
story for you, Grant. Do you

785
00:55:58.400 --> 00:56:04.719
remember a program back when we were
all young called Eliza. Yes, I

786
00:56:04.760 --> 00:56:07.840
played with Eliza. I had the
MAC version. Yeah, yeah, the

787
00:56:07.960 --> 00:56:13.320
Rogerian psychotherapist. You basically would ask
it a question and it would answer with

788
00:56:13.400 --> 00:56:20.360
a question that contained parts or was
triggered by your question. Yes. Yeah,

789
00:56:20.360 --> 00:56:22.480
you can still find it online.
Yeah, I'll include a link to

790
00:56:22.519 --> 00:56:27.159
an online one, so you would
say a sentence that included my brother,

791
00:56:27.480 --> 00:56:30.719
right, and so picked up on
those keywords and said, tell me more

792
00:56:30.760 --> 00:56:34.519
about your family. And my first
experience of this was, oh, my

793
00:56:34.639 --> 00:56:37.760
god, it's brilliant. It's a
genius. But here's the thing. The

794
00:56:37.840 --> 00:56:43.960
guy who wrote that originally wrote it
as a goof against the term artificial intelligence

795
00:56:43.960 --> 00:56:47.719
to prove that it wasn't intelligent.
It was simply doing a lookup of keywords

796
00:56:47.800 --> 00:56:54.239
and responding with responses appropriate for those
keywords. And everybody, kind of including

797
00:56:54.280 --> 00:56:59.119
me as a kid, I was
blown away by this, and I actually

798
00:56:59.159 --> 00:57:02.360
rewrote it in visual Basic a long
time ago, and I think I think

799
00:57:02.400 --> 00:57:05.840
I might have even done an online
version of it. But but I was

800
00:57:05.880 --> 00:57:08.519
just fascinated by it. You know, from a consumer standpoint, it looked

801
00:57:08.559 --> 00:57:13.079
like magic to me. Yeah,
people want to believe these things exist,

802
00:57:13.239 --> 00:57:22.880
right between peridolia and anthropomorphization, Like
we're looking for faces and we cast humanity

803
00:57:22.920 --> 00:57:25.360
on things that aren't you. I'm
not the first to say this, but

804
00:57:25.400 --> 00:57:30.440
we are terribly bad at pattern matching, and we just think we're fantastic.

805
00:57:30.519 --> 00:57:37.119
Yeah right, the pattern we matches. I'm a genius, but I am,

806
00:57:37.239 --> 00:57:39.400
Yeah, but in your case,
we're making an exception. But no,

807
00:57:39.440 --> 00:57:43.880
I'm not. I always say that
like I'm somewhere in the middle,

808
00:57:43.960 --> 00:57:46.840
just a little bit above average.
So the well beg Yeah, and and

809
00:57:46.840 --> 00:57:51.559
the other thing we know about humans
is when they don't understand something or there's

810
00:57:51.639 --> 00:57:54.639
ambiguity, we make stuff up.
Yeah, and we're scared and we're scared.

811
00:57:54.840 --> 00:57:59.000
Yeah, yeah, we make stuff
up and it always blames someone but

812
00:57:59.199 --> 00:58:02.320
us. Right, So go read
a book or a bunch of books.

813
00:58:02.480 --> 00:58:06.800
Yeah, let me ask you guys
a question while I have here. What

814
00:58:06.880 --> 00:58:07.960
do you what are you working on? What do you what do you do

815
00:58:08.079 --> 00:58:12.000
besides this podcast? Well I could
tell you if well, first of all,

816
00:58:12.079 --> 00:58:15.800
Richard's working on a book about the
history of dot net. Okay,

817
00:58:15.000 --> 00:58:19.159
Microsoft's you probably know what dot net
is. Yeah, yeah, yeah,

818
00:58:19.239 --> 00:58:22.920
Well I only have the like open
source version of it installed. But yeah,

819
00:58:22.079 --> 00:58:25.360
right, so it goes back to
being a Windows only product back in

820
00:58:25.440 --> 00:58:31.199
the two thousands and went all the
way through tablets and phones and open source.

821
00:58:32.360 --> 00:58:35.800
And he can tell you more about
that. But I'm basically, um

822
00:58:36.119 --> 00:58:42.920
a web developer, and I've got
a couple of YouTube videos series one on

823
00:58:43.280 --> 00:58:49.280
Blazer, which is there the state
of the art web UI technology, and

824
00:58:49.400 --> 00:58:54.239
another one on Maui, which is
their mobile technology. So i'm my job

825
00:58:54.400 --> 00:59:00.000
is essentially to come up with good
examples of how to use this stuff every

826
00:58:59.840 --> 00:59:01.760
week, do some research, write
some code, and then do a video

827
00:59:01.760 --> 00:59:06.360
about it. So i'm this is
my wheelhouse. I love it. Oh

828
00:59:06.400 --> 00:59:09.119
that's fantastic. I'm working on a
book too. It's on the on the

829
00:59:09.159 --> 00:59:15.320
words suck, s u c K, suck these there a whole book there.

830
00:59:15.639 --> 00:59:17.000
Yeah. Yeah, well it'll be
a short one thirty thousand words,

831
00:59:17.079 --> 00:59:21.159
but yeah, a mirror and it
will be on it'll be like on the

832
00:59:21.199 --> 00:59:22.920
figurative uses of it, like you
suck or that sucks. No, no,

833
00:59:23.000 --> 00:59:28.039
we have a we have a version
of it. That's um a noun.

834
00:59:28.880 --> 00:59:30.360
Right, So we went the big
suck, right, Well, we

835
00:59:30.400 --> 00:59:35.079
turned down the suck and we turn
up the awesome in our production, in

836
00:59:35.079 --> 00:59:37.320
our production that's yeah, yeah,
exactly, Yeah, Yeah, we have

837
00:59:37.360 --> 00:59:39.800
the suck now. Yeah, I
will be addressing that now, Yes,

838
00:59:39.920 --> 00:59:45.960
turn it down. I appreciate that. Grant. It's been an absolute pleasure

839
00:59:45.960 --> 00:59:50.480
to talk to you and keep in
touch, will you Yeah, absolutely,

840
00:59:50.480 --> 00:59:52.000
thanks for having me on. This
was a great conversation. It's nice to

841
00:59:52.559 --> 00:59:57.400
flex the tech brain a little bit. Yeah, and again, you know,

842
00:59:57.559 --> 01:00:00.599
it was a really good intersection of
all these things and at the right

843
01:00:00.599 --> 01:00:02.719
time, I think. So thanks
again and we'll see you on the way

844
01:00:02.760 --> 01:00:06.559
with words. All right, Thank
you, take happy well you guys.

845
01:00:06.599 --> 01:00:08.400
All right, byebye. We'll talk
to you, dear listener next time on

846
01:00:08.599 --> 01:00:34.719
dot net rocks. Dot net Rocks
is brought to you by Franklin's Net and

847
01:00:34.880 --> 01:00:39.199
produced by Pop Studios, a full
service audio, video and post production facility

848
01:00:39.480 --> 01:00:45.440
located physically in New London, Connecticut, and of course in the cloud online

849
01:00:45.440 --> 01:00:51.559
at pwop dot com. Visit our
website at dt n et r ocks dot

850
01:00:51.599 --> 01:00:55.960
com for RSS feeds, downloads,
mobile apps, comments, and access to

851
01:00:57.000 --> 01:01:00.679
the full archives going back to show
number one, recorded in September two thousand

852
01:01:00.719 --> 01:01:05.159
and two. And make sure you
check out our sponsors. They keep us

853
01:01:05.159 --> 01:01:08.599
in business. Now go write some
code. See you next time. You

854
01:01:08.679 --> 01:01:20.920
got a check. Mile Band

