Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Let's jump over to the Legacy Retirement Group dot Com
phone line and check in with ABC News Technology reporter
Mike Debuski. I can't believe, Michael that this is the
third anniversary of chat GPT this week.
Speaker 2 (00:14):
Yeah, I'm kind of wondering what we should get open
ai to celebrate asking it.
Speaker 3 (00:19):
Probably just ask it. Yeah, right, what do you want?
What do you want for your birthday? Yeah?
Speaker 2 (00:24):
So, November thirtieth, twenty twenty two was the day that
OpenAI made chant GPT available to the public. They build
this as an AI model that can answer follow up questions.
Speaker 3 (00:34):
They can admit mistakes, it can.
Speaker 2 (00:35):
Challenge incorrect premises, and it can reject inappropriate results. Interestingly enough,
kind of going back to that original blog post where
they launched chant GPT, and it was a blog post.
It wasn't a live stream, it wasn't some fancy show.
It was kind of just this relatively modest announcement for
this technology that, as we now look back on it
(00:57):
three years later, did shake up the entire Silicon Valley space.
Right now everyone's talking about artificial intelligence, Well, it all
traces its origins back to this pretty technical post on
OpenAI's blog From there, the technology launched a frenzy of hype, speculation,
and dire warnings about the technology being used to spread disinformation,
(01:19):
to displace jobs, potentially, to infringe on copyright, to allow
kids to cheat on assignments at school, and of course,
to exacerbate mental health crises. All of these problems to
some degree or another, we are still talking about three
years later. They haven't been solved. In spite of all
those concerns which we were talking about three years ago,
(01:40):
chat GPT grew very quickly. Some of these numbers I
think are really interesting. One month after it launched, chat
GPT was being used by a million people per week,
according to OpenAI. After one year it was one hundred
million a week. Today that figure is eight hundred million
according to the company. So a lot of people using
this technology, but as we can get into, it's maybe
(02:02):
not being deployed at the scale that was predicted when
we first got our hands on it.
Speaker 1 (02:07):
Do you think we've realized what we have here with
Do you think open ai realizes what we have with
this technology and what the impact is on I mean
and everyday life, whether it's education, employment, business, I mean,
whatever you can Joam up.
Speaker 3 (02:21):
Do you think we really understand what we have? That's
a good question.
Speaker 2 (02:26):
I think that open AI definitely makes sure whenever the
pressure gets especially acute to come out and say, hey,
this is still in its infancy. Right, We're still figuring
out the edges of this, but we have it right,
and the good news is that we are still sort
of in the lead here in the global race for
AI supremacy. So it's better to develop quickly and then
(02:47):
sort of figure out the regulations as we go, as
opposed to hitting pause on this and letting you know,
one of our adversaries usurp us in this very important technology.
So I think they do have a degree of self
aware fareness there. However, in terms of how they actually
act on that, I think remains an open question. How
effective it is in terms of, you know, releasing technology
(03:09):
that cuts down on kids' ability to cheat in school
that has really shaken up the education sector in a huge.
Speaker 3 (03:15):
Way in the last few years.
Speaker 2 (03:16):
Whether the tools they've rolled out to mitigate that actually work,
we don't really have a ton of data to look
into that. Whether this is actually displacing jobs I think
also remains an open question. Ninety five percent of the
pilot programs that incorporate generative artificial intelligence technology have failed
to increase profits or save on costs. That's according to
(03:37):
the MIT research Labs. So companies still not quite going
for it right. They're not committing to AI. They're talking
about it a lot, but it's still an imperfect technology
in a lot of ways.
Speaker 1 (03:48):
Now three years in you mentioned regulations, and there have
now been a number of legal challenges too. In extreme
cases where you have a team you committing suicide based
on some chatbot discussions on AI. Where are we with
some of the legal situations with open AI.
Speaker 2 (04:06):
I think that's going to be something to keep a
real close eye on. In twenty twenty six. This is
when we will not only see sort of some of
these lawsuits related to the mental health issues around CHANGPT
and around generative artificial intelligence in general.
Speaker 3 (04:19):
Start to move forward.
Speaker 2 (04:21):
I also am keeping a real close eye on the
copyright legal challenges, the most prominent of which is The
New York Times, which is suing open ai for basically
ingesting all of its articles, which you have to pay
for on the internet, and then using it to train
their model. The concern, of course being you can go
to any number of these websites and get it to
basically replicate property writing that belongs to these major companies.
(04:47):
The New York Times is not alone in that there
are cadres of authors that are suing these tech companies
as well, so those are all going to be something
to keep an eye on as we head into the
new year. Open also facing more competition than ever. Right
Google just launched Gemini three, which is the latest version
of their kind of core artificial intelligence model, and by
(05:08):
a lot of metrics, it sort of usurps where Open
ai is right now. Their GPT five, the latest version
of their core technology, kind of you know, fell short
of expectations when it launched earlier this year, kind of
causing a lot of people to question whether they're actually
gonna be the face of this industry for much longer
now that the big guns have really caught up to them.
(05:29):
Google is responsible for the t in chat GPT. Let's
not forget it is a generative pre trained transformer. Transformer
is a technical word in the AI space that Google owns,
So they're a real force to be reckoned with, and
their latest model really demonstrates that.
Speaker 1 (05:45):
Real quick Before I let you fly, you mentioned copyright.
Who owns what chat GPT spits back out? If I
put in a prompt and it sends me back a
bunch of paragraphs, and you know, I save it and
copy and paste it and use it for my job
or what who owns that?
Speaker 3 (05:58):
Is it me because I put prompt in? Or is
it open ai? Uh? That's a good question.
Speaker 2 (06:04):
I think a lot of that is still being kind
of figured out in court. Right There have been no
real legal challenges kind of you know, around who owns
the product of chat GPT. I think a lot of
the legal challenges really focus on whether these models can
replicate stuff that's already been written and used to train them.
It's it's mostly the training data in terms of like
(06:26):
whether you can kind of get it to make original
content and then sell that you certainly can, Will anyone
go for it?
Speaker 3 (06:33):
Well? I think that also remains to be seen
Let's jump over to the Legacy Retirement Group dot Com
phone line and check in with ABC News Technology reporter
Mike Debuski. I can't believe, Michael that this is the
third anniversary of chat GPT this week.
Speaker 2 (00:14):
Yeah, I'm kind of wondering what we should get open
ai to celebrate asking it.
Speaker 3 (00:19):
Probably just ask it. Yeah, right, what do you want?
What do you want for your birthday? Yeah?
Speaker 2 (00:24):
So, November thirtieth, twenty twenty two was the day that
OpenAI made chant GPT available to the public. They build
this as an AI model that can answer follow up questions.
Speaker 3 (00:34):
They can admit mistakes, it can.
Speaker 2 (00:35):
Challenge incorrect premises, and it can reject inappropriate results. Interestingly enough,
kind of going back to that original blog post where
they launched chant GPT, and it was a blog post.
It wasn't a live stream, it wasn't some fancy show.
It was kind of just this relatively modest announcement for
this technology that, as we now look back on it
(00:57):
three years later, did shake up the entire Silicon Valley space.
Right now everyone's talking about artificial intelligence, Well, it all
traces its origins back to this pretty technical post on
OpenAI's blog From there, the technology launched a frenzy of hype, speculation,
and dire warnings about the technology being used to spread disinformation,
(01:19):
to displace jobs, potentially, to infringe on copyright, to allow
kids to cheat on assignments at school, and of course,
to exacerbate mental health crises. All of these problems to
some degree or another, we are still talking about three
years later. They haven't been solved. In spite of all
those concerns which we were talking about three years ago,
(01:40):
chat GPT grew very quickly. Some of these numbers I
think are really interesting. One month after it launched, chat
GPT was being used by a million people per week,
according to OpenAI. After one year it was one hundred
million a week. Today that figure is eight hundred million
according to the company. So a lot of people using
this technology, but as we can get into, it's maybe
(02:02):
not being deployed at the scale that was predicted when
we first got our hands on it.
Speaker 1 (02:07):
Do you think we've realized what we have here with
Do you think open ai realizes what we have with
this technology and what the impact is on I mean
and everyday life, whether it's education, employment, business, I mean,
whatever you can Joam up.
Speaker 3 (02:21):
Do you think we really understand what we have? That's
a good question.
Speaker 2 (02:26):
I think that open AI definitely makes sure whenever the
pressure gets especially acute to come out and say, hey,
this is still in its infancy. Right, We're still figuring
out the edges of this, but we have it right,
and the good news is that we are still sort
of in the lead here in the global race for
AI supremacy. So it's better to develop quickly and then
(02:47):
sort of figure out the regulations as we go, as
opposed to hitting pause on this and letting you know,
one of our adversaries usurp us in this very important technology.
So I think they do have a degree of self
aware fareness there. However, in terms of how they actually
act on that, I think remains an open question. How
effective it is in terms of, you know, releasing technology
(03:09):
that cuts down on kids' ability to cheat in school
that has really shaken up the education sector in a huge.
Speaker 3 (03:15):
Way in the last few years.
Speaker 2 (03:16):
Whether the tools they've rolled out to mitigate that actually work,
we don't really have a ton of data to look
into that. Whether this is actually displacing jobs I think
also remains an open question. Ninety five percent of the
pilot programs that incorporate generative artificial intelligence technology have failed
to increase profits or save on costs. That's according to
(03:37):
the MIT research Labs. So companies still not quite going
for it right. They're not committing to AI. They're talking
about it a lot, but it's still an imperfect technology
in a lot of ways.
Speaker 1 (03:48):
Now three years in you mentioned regulations, and there have
now been a number of legal challenges too. In extreme
cases where you have a team you committing suicide based
on some chatbot discussions on AI. Where are we with
some of the legal situations with open AI.
Speaker 2 (04:06):
I think that's going to be something to keep a
real close eye on. In twenty twenty six. This is
when we will not only see sort of some of
these lawsuits related to the mental health issues around CHANGPT
and around generative artificial intelligence in general.
Speaker 3 (04:19):
Start to move forward.
Speaker 2 (04:21):
I also am keeping a real close eye on the
copyright legal challenges, the most prominent of which is The
New York Times, which is suing open ai for basically
ingesting all of its articles, which you have to pay
for on the internet, and then using it to train
their model. The concern, of course being you can go
to any number of these websites and get it to
basically replicate property writing that belongs to these major companies.
(04:47):
The New York Times is not alone in that there
are cadres of authors that are suing these tech companies
as well, so those are all going to be something
to keep an eye on as we head into the
new year. Open also facing more competition than ever. Right
Google just launched Gemini three, which is the latest version
of their kind of core artificial intelligence model, and by
(05:08):
a lot of metrics, it sort of usurps where Open
ai is right now. Their GPT five, the latest version
of their core technology, kind of you know, fell short
of expectations when it launched earlier this year, kind of
causing a lot of people to question whether they're actually
gonna be the face of this industry for much longer
now that the big guns have really caught up to them.
(05:29):
Google is responsible for the t in chat GPT. Let's
not forget it is a generative pre trained transformer. Transformer
is a technical word in the AI space that Google owns,
So they're a real force to be reckoned with, and
their latest model really demonstrates that.
Speaker 1 (05:45):
Real quick Before I let you fly, you mentioned copyright.
Who owns what chat GPT spits back out? If I
put in a prompt and it sends me back a
bunch of paragraphs, and you know, I save it and
copy and paste it and use it for my job
or what who owns that?
Speaker 3 (05:58):
Is it me because I put prompt in? Or is
it open ai? Uh? That's a good question.
Speaker 2 (06:04):
I think a lot of that is still being kind
of figured out in court. Right There have been no
real legal challenges kind of you know, around who owns
the product of chat GPT. I think a lot of
the legal challenges really focus on whether these models can
replicate stuff that's already been written and used to train them.
It's it's mostly the training data in terms of like
(06:26):
whether you can kind of get it to make original
content and then sell that you certainly can, Will anyone
go for it?
Speaker 3 (06:33):
Well? I think that also remains to be seen
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