July 3, 2024 • 18 mins
What if AI could catch its own mistakes better than a human can? In this episode of AI Conversations, I, Sahar, your AI Whisperer, unravel the mysteries behind AI hallucinations and introduce you to OpenAI's revolutionary Critic GPT, which astonishingly identifies errors in its own responses with incredible accuracy. We also spotlight 11 Labs' groundbreaking video translation and personalization technology, capable of remembering and replicating your unique writing style. Imagine a system that can translate videos while preserving lip-sync and cultural context—fascinating, right?
But that's not all. We also dive into the latest controversy involving Perplexity AI, which faces scrutiny for allegedly misusing intellectual property, igniting an investigation by Amazon. This episode isn't just about the tech; it's also a deep dive into the ethical concerns surrounding AI usage. Plus, we give a shoutout to the Neuron newsletter for its invaluable insights and an exclusive free ChatGPT guide from HubSpot. Buckle up for a jam-packed session filled with the latest AI updates and thoughtful discussions on the ethical nuances in our digital world.
Thank you The Neuron
This is the ebook from HUBSPOT
How to use CHATGPT at work
#AI #Artificalintelligence #learningpodcast #DailyAI #Futureofwork #techtalk #innovation #AIpodcast #AIcafe #AIforeveryone #AIInsights #AItrends #entrepreneurship #digitaltransformation @AIWhisperer
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:14):
Hello and welcome back to the AI Conversations,
where we blend the complexity oftechnology with the comfort of
our favorite cafe.
I am Sahar, your AI Whisperer,and in today's episode we are
poring over some of the mostpressing concerns surrounding
artificial intelligence.
Today, we steep our discussionin the rich sometimes the future
(00:43):
of AI, including the future ofour civility when we use AI.
We are going to be talkingabout ethical concerns that
arise from AI in public onlinediscourse as well, and also
about how people feel about AIdominating internet forums.
(01:05):
I have received these ideas fordiscussions from some of you
guys, which I totally appreciatethe messages I'm getting about
what they want to know and whatwe want to discuss on AI,
because it helped me kind offormat the podcast the way you
want it to be done, or discussthe ideas that you guys want to
(01:28):
know more about.
Like, I always say, I'm not atechie, I just use 100 ai for,
uh, branding and marketing andand even to learn new things,
including translations, onlinecourses and all that, and I
always say this garbage in,garbage out.
(01:48):
But, as usual, according to theformat of my podcast, the first
thing I'm gonna start sharingis the news what happened to ai
this week.
So hold on to your seats, holdon to your espresso or latte in
your hand and let's delve intoit immediately.
A lot of people have beentalking about something called
(02:11):
ai hallucinations, where theyuse ai and sometimes ai will go
into the deep tangent.
So what actually is happeningright now is that open ai that
is the parent for chat gpt builta model called critic gpt and
it tries to find the flaws ingpt4 responses.
(02:34):
The new model is powered bygpt4 itself and you might say,
can ai catch its own mistakes?
And though there are humansthat are working into finding
the mistakes or what we callhallucinations for ai, they're
still using that ai to find itsmistake.
(02:58):
So sometimes some people wouldask this wouldn't humans be
better at flagging errors?
Uh, actually, they found outthat the chat gpt the way they
put critic uh, critique gpt isway better um to find its own
mistake that even uh, whiletrained humans can find only 25
(03:20):
of the mistakes, um, critic ofthe mistakes, critic chat, chat
GPT can find 85% of them.
So this is what was reallysurprising today.
Thank you, superhuman, for newsnewsletter.
So I just wanted you to knowabout that.
There is also a way now that 11labs have created a way on how
(03:43):
not only to translate videos butalso make sure that it works
with accurate lip way,storytelling, characterization,
language style, even culturalcontext.
You can also ask it to look atthe length of the sentences, the
(04:33):
verbs that are used, thepunctuation and all that, and
you can ask it to remember thatstyle.
You can even call it your ownstyle and ask it to recall that
style when you name it foranything future that you can
write on, and this willbasically facilitate your life.
(04:53):
Chatgpt is one of the only onesthat actually have that
specifically with memory.
When it comes to memory memory.
The other big news that isfloating around is about
perplexity, perplexityai that Italked about a couple of
podcasts ago and I think in thelast podcast as well.
That is the sweetheart ofeverything that is ai.
(05:15):
But they found out thatactually, uh, perplexity has
been uh in crunching on otherpeople, intellectual property,
uh, even uh, for Forbes has sentthem a letter of cease and
desist that they have been usingtheir own Forbes unauthorized
use for information to traintheir AI.
(05:37):
So they send them a letter.
So Amazon, that has invested alot of money of perplexity,
actually launched its owninvestigation to after the
reports that emerged that the aipowered search engine is
actually using material fromacross the web, which is awesome
.
That means that there areethics in there and guidelines
(06:00):
that they are trying to abide by.
Um, also a a shout out to theNeuron newsletter.
Guys, you need to subscribe toit.
It's actually really, reallygood.
It's called the Neuron and theyhave a newsletter daily about
AI and I'm learning from it somuch so they actually had
included like an ebook or like acheat sheet that has been
(06:24):
produced by HubSpot.
So again, another shout out toHubSpot for free chat.
Gpt guide.
I'm going to put the link ofthat workbook into the
description of this podcast.
Humanize AI actually alsocreated something really
(06:45):
interesting that I wanted toshare with you, and it makes
AI-generated text sound like itcame from a real person.
So these are all the news thatI wanted to share with you today
, and now let's go on with ourpodcast episode.
So our podcast today is we aredelving into a topic that's as
(07:08):
pressing as it's profound theethical dimensions of artificial
intelligence.
And I know we keep talkingabout ethic and ethical
dimensions of AI because it'sextremely important.
We cannot ignore it justbecause we are fascinated by AI.
So grab your cup, perhaps atour close today, and let's
explore the nuanced world of AI.
(07:30):
So let's start by addressingthe elephant in the room, or
should I say the bias inalgorithm.
Just like a barista mightunintentionally favor regulars,
ai systems trained on historicaldata can perpetuate and
exacerbate even biases.
(07:51):
This becomes particularlyproblematic in online
discussions, where AI-drivensilence certain voices or
amplify social hierarchies.
How do we ensure our digitalpublic squares are inclusive,
(08:14):
not just reflective of pastprejudice?
Like picture this an AI systemmoderating an online forum
designed to filter out harmfulcontent, sounds ideals, right,
but what happens when thissystem starts silencing certain
(08:35):
groups?
Remember, inclusion is aboutincluding everyone, even if we
don't agree with them, it's notabout silencing them.
Okay, recent studies have shownthat AI can sometimes echo our
worst biases simply because itlearns from past data, data that
(08:57):
is not free from our historicaland social prejudice.
So how do we cleanse thepalette of AI from these biases?
The solution is notstraightforward, but it starts
with diverse data and continuousmonitoring, as AI ethicist Dr
(09:20):
Jane Smith suggests.
Diversity in data is likediversity in diet the more
varied it is, the healthier theoutcome.
Now, moving to a concern that'sclose to our hearts the loss of
human touch.
In this digital age, as more ofour interactions are mediated
(09:41):
by screens, there is a growingfear that ai, despite its
advancements, lacks the warmth,empathy and understanding
essential for meaningfulconnections.
The nuances of sarcasm, thewarmth of a genuine compliment.
Can ai truly grasp andreplicate this human subtleties?
(10:05):
And then there is the issue oftrust and authenticity.
With AI becoming moresophisticated, it's increasingly
difficult to know if we areinteracting with a human or a
machine machine.
(10:29):
This blurring line canundermine trust in online
communities where authenticityis the cornerstone of meaningful
exchanges.
How do we maintain this trustwhen ai is capable of mimicking
human interactions soconvincingly?
And remember already our youngpeople that depend mainly on
their phones and online tocommunicate are having social
(10:50):
anxieties, do not, areintroverts, do not know how to
deal with human reactions.
So we need to keep all that inmind even before AI.
Imagine receiving a birthdaygreeting from an AI.
Imagine receiving a birthdaygreeting from an AI.
(11:20):
It might check the box, but canit replicate the warmth of a
handwritten note this concernagain frustrations or offer the
personalized care that a humancan?
Is this trade-off worth it?
Another concern about trust andauthenticity.
(11:40):
In an age where AI can generatenot just believable but
compelling fake videos andarticles, the line between real
and artificial is blurring.
This isn't just a technicalchallenge.
It's a foundational crisis forour trust in what we see and
(12:02):
hear online.
Trust in what we see and hearonline.
So imagine logging into yoursocial media to find a video of
a public figure saying somethingthey never actually said.
This isn't future fiction, it'sa current reality with deep
fake technology.
How do we build trust in alandscape, trust in a landscape
(12:32):
littered with AI generatedcontent?
These are all questions thatare not like not having
solutions, but we need to beaware of them as we build our
future next to AI.
Ethical and existential risksare also growing as AI grows
more powerful.
So too do the concern about itslong-term impact on humanity.
(12:53):
Could AI evolve to a pointwhere it surpasses human
intelligence?
What would this mean for ourfuture?
These are not just theoreticalquestions, but real concerns
that could redefine ourexistence.
Could AI evolve to makedecisions contrary to human
(13:17):
welfare?
The debate is not just academic.
It's a crucial inquiry into thesafeguards we need to implement
.
Into the safeguards we need toimplement and, yes, I always
share the benefits of AI andwhat it can do for us, but I
also cannot ignore that thereare concerns and, in some people
(13:39):
, fears of what can AI do anddon't and, to be very honest, I
have watched a lot of interviewsand a lot of videos.
No one can give you a straightanswer about what can happen in
the future, but all what we cando is that, as we learn how to
work with ai and, mostimportantly, how we train ai,
(14:03):
it's up to us human beings totrain it on the results that we
want, but somewhere, somehow,like it has always happened in
human history, it takes only onegreedy person to change the
balance of whatever can alwaysbe a good thing, and this is
what we need to watch for AI.
(14:24):
I'm happy with all the measuresthat they have been put here
and in Europe about AI and itsethical considerations, but it's
not enough.
We need to be very diligent andeach one of us need to do their
due diligence on the way we useAI.
Finally, let's touch uponinfluence and manipulation.
(14:45):
The potential for AI to be usedas a tool for shaping public
opinion or spreadingmisinformation is a significant
worry.
We see a lot of it alreadyhappening online specifically
that we're going into withoutbeing any way political, but
we're going into an electionyear.
That's a fact.
(15:06):
So we have to use our brain.
We are the human, we are thehigher intelligence on what
makes sense and one doesn't makesense.
We cannot let our confirmationbias and availability bias
dictate on us what to take, whatnot to take from online.
We need to use our humanintelligence and take everything
(15:29):
with a grain of thought.
Um so like, for example, myhusband and me, whenever we
share news, they say oh, youheard this on tiktok, so we have
, though there are some credibleinformation on tiktok, but
there is a lot of non-credibleinformation as well online.
So that's why, as human beings,we need to make these decisions
(15:50):
.
So, in an era where informationis power, ensuring that AI is
used responsibly in publicdiscourse is crucial to
preserving the integrity of ourdiscussions and decisions.
As I said before, fromelections to public opinion, ai
(16:10):
has the potential to bepuppeteer behind the scenes.
The question isn't only aboutwho controls the AI, but also
about the transparency of suchsystems.
Are we aware enough of theinfluence AI has on our daily
decisions?
(16:30):
That's another question that weeach person need to ask
themselves in a very honestmanner.
So, as we finish today's cup,let's keep the conversation
going.
How do we harness the benefitsof AI while mitigating these
risks?
This is a question that I sharewith you.
(16:52):
What role can each of us playin shaping a future where
technology serves humanity, notthe other way around?
Most importantly, let'sremember that every technology,
much like every coffee blend,comes with its unique
characteristics and challenges.
(17:13):
The key is in how we use it.
Let's ensure we are brewing AIin a way that enriches our
society, respects our values andelevates our human experience.
Thank you for joining me forthis deep dive into the ethical
(17:33):
maze of AI at AI Cafeconversations.
Don't forget to subscribe,share your thoughts and maybe
even propose what you'd like usto explore next.
Until next time, this is Sahar,your AI whisper.
Keep your coffee strong, yourethics strong and your curiosity
(17:57):
alive and even stronger.
Till next podcast nextWednesday.
By way, happy 4th of July.
Tomorrow is the 4th of July.
Be safe, enjoy the birthday ofour beautiful America, the land
of the free Love you all.
Be safe.
Hello and welcome back to the AI Conversations,
where we blend the complexity oftechnology with the comfort of
our favorite cafe.
I am Sahar, your AI Whisperer,and in today's episode we are
poring over some of the mostpressing concerns surrounding
artificial intelligence.
Today, we steep our discussionin the rich sometimes the future
(00:43):
of AI, including the future ofour civility when we use AI.
We are going to be talkingabout ethical concerns that
arise from AI in public onlinediscourse as well, and also
about how people feel about AIdominating internet forums.
(01:05):
I have received these ideas fordiscussions from some of you
guys, which I totally appreciatethe messages I'm getting about
what they want to know and whatwe want to discuss on AI,
because it helped me kind offormat the podcast the way you
want it to be done, or discussthe ideas that you guys want to
(01:28):
know more about.
Like, I always say, I'm not atechie, I just use 100 ai for,
uh, branding and marketing andand even to learn new things,
including translations, onlinecourses and all that, and I
always say this garbage in,garbage out.
(01:48):
But, as usual, according to theformat of my podcast, the first
thing I'm gonna start sharingis the news what happened to ai
this week.
So hold on to your seats, holdon to your espresso or latte in
your hand and let's delve intoit immediately.
A lot of people have beentalking about something called
(02:11):
ai hallucinations, where theyuse ai and sometimes ai will go
into the deep tangent.
So what actually is happeningright now is that open ai that
is the parent for chat gpt builta model called critic gpt and
it tries to find the flaws ingpt4 responses.
(02:34):
The new model is powered bygpt4 itself and you might say,
can ai catch its own mistakes?
And though there are humansthat are working into finding
the mistakes or what we callhallucinations for ai, they're
still using that ai to find itsmistake.
(02:58):
So sometimes some people wouldask this wouldn't humans be
better at flagging errors?
Uh, actually, they found outthat the chat gpt the way they
put critic uh, critique gpt isway better um to find its own
mistake that even uh, whiletrained humans can find only 25
(03:20):
of the mistakes, um, critic ofthe mistakes, critic chat, chat
GPT can find 85% of them.
So this is what was reallysurprising today.
Thank you, superhuman, for newsnewsletter.
So I just wanted you to knowabout that.
There is also a way now that 11labs have created a way on how
(03:43):
not only to translate videos butalso make sure that it works
with accurate lip way,storytelling, characterization,
language style, even culturalcontext.
You can also ask it to look atthe length of the sentences, the
(04:33):
verbs that are used, thepunctuation and all that, and
you can ask it to remember thatstyle.
You can even call it your ownstyle and ask it to recall that
style when you name it foranything future that you can
write on, and this willbasically facilitate your life.
(04:53):
Chatgpt is one of the only onesthat actually have that
specifically with memory.
When it comes to memory memory.
The other big news that isfloating around is about
perplexity, perplexityai that Italked about a couple of
podcasts ago and I think in thelast podcast as well.
That is the sweetheart ofeverything that is ai.
(05:15):
But they found out thatactually, uh, perplexity has
been uh in crunching on otherpeople, intellectual property,
uh, even uh, for Forbes has sentthem a letter of cease and
desist that they have been usingtheir own Forbes unauthorized
use for information to traintheir AI.
(05:37):
So they send them a letter.
So Amazon, that has invested alot of money of perplexity,
actually launched its owninvestigation to after the
reports that emerged that the aipowered search engine is
actually using material fromacross the web, which is awesome
.
That means that there areethics in there and guidelines
(06:00):
that they are trying to abide by.
Um, also a a shout out to theNeuron newsletter.
Guys, you need to subscribe toit.
It's actually really, reallygood.
It's called the Neuron and theyhave a newsletter daily about
AI and I'm learning from it somuch so they actually had
included like an ebook or like acheat sheet that has been
(06:24):
produced by HubSpot.
So again, another shout out toHubSpot for free chat.
Gpt guide.
I'm going to put the link ofthat workbook into the
description of this podcast.
Humanize AI actually alsocreated something really
(06:45):
interesting that I wanted toshare with you, and it makes
AI-generated text sound like itcame from a real person.
So these are all the news thatI wanted to share with you today
, and now let's go on with ourpodcast episode.
So our podcast today is we aredelving into a topic that's as
(07:08):
pressing as it's profound theethical dimensions of artificial
intelligence.
And I know we keep talkingabout ethic and ethical
dimensions of AI because it'sextremely important.
We cannot ignore it justbecause we are fascinated by AI.
So grab your cup, perhaps atour close today, and let's
explore the nuanced world of AI.
(07:30):
So let's start by addressingthe elephant in the room, or
should I say the bias inalgorithm.
Just like a barista mightunintentionally favor regulars,
ai systems trained on historicaldata can perpetuate and
exacerbate even biases.
(07:51):
This becomes particularlyproblematic in online
discussions, where AI-drivensilence certain voices or
amplify social hierarchies.
How do we ensure our digitalpublic squares are inclusive,
(08:14):
not just reflective of pastprejudice?
Like picture this an AI systemmoderating an online forum
designed to filter out harmfulcontent, sounds ideals, right,
but what happens when thissystem starts silencing certain
(08:35):
groups?
Remember, inclusion is aboutincluding everyone, even if we
don't agree with them, it's notabout silencing them.
Okay, recent studies have shownthat AI can sometimes echo our
worst biases simply because itlearns from past data, data that
(08:57):
is not free from our historicaland social prejudice.
So how do we cleanse thepalette of AI from these biases?
The solution is notstraightforward, but it starts
with diverse data and continuousmonitoring, as AI ethicist Dr
(09:20):
Jane Smith suggests.
Diversity in data is likediversity in diet the more
varied it is, the healthier theoutcome.
Now, moving to a concern that'sclose to our hearts the loss of
human touch.
In this digital age, as more ofour interactions are mediated
(09:41):
by screens, there is a growingfear that ai, despite its
advancements, lacks the warmth,empathy and understanding
essential for meaningfulconnections.
The nuances of sarcasm, thewarmth of a genuine compliment.
Can ai truly grasp andreplicate this human subtleties?
(10:05):
And then there is the issue oftrust and authenticity.
With AI becoming moresophisticated, it's increasingly
difficult to know if we areinteracting with a human or a
machine machine.
(10:29):
This blurring line canundermine trust in online
communities where authenticityis the cornerstone of meaningful
exchanges.
How do we maintain this trustwhen ai is capable of mimicking
human interactions soconvincingly?
And remember already our youngpeople that depend mainly on
their phones and online tocommunicate are having social
(10:50):
anxieties, do not, areintroverts, do not know how to
deal with human reactions.
So we need to keep all that inmind even before AI.
Imagine receiving a birthdaygreeting from an AI.
Imagine receiving a birthdaygreeting from an AI.
(11:20):
It might check the box, but canit replicate the warmth of a
handwritten note this concernagain frustrations or offer the
personalized care that a humancan?
Is this trade-off worth it?
Another concern about trust andauthenticity.
(11:40):
In an age where AI can generatenot just believable but
compelling fake videos andarticles, the line between real
and artificial is blurring.
This isn't just a technicalchallenge.
It's a foundational crisis forour trust in what we see and
(12:02):
hear online.
Trust in what we see and hearonline.
So imagine logging into yoursocial media to find a video of
a public figure saying somethingthey never actually said.
This isn't future fiction, it'sa current reality with deep
fake technology.
How do we build trust in alandscape, trust in a landscape
(12:32):
littered with AI generatedcontent?
These are all questions thatare not like not having
solutions, but we need to beaware of them as we build our
future next to AI.
Ethical and existential risksare also growing as AI grows
more powerful.
So too do the concern about itslong-term impact on humanity.
(12:53):
Could AI evolve to a pointwhere it surpasses human
intelligence?
What would this mean for ourfuture?
These are not just theoreticalquestions, but real concerns
that could redefine ourexistence.
Could AI evolve to makedecisions contrary to human
(13:17):
welfare?
The debate is not just academic.
It's a crucial inquiry into thesafeguards we need to implement
.
Into the safeguards we need toimplement and, yes, I always
share the benefits of AI andwhat it can do for us, but I
also cannot ignore that thereare concerns and, in some people
(13:39):
, fears of what can AI do anddon't and, to be very honest, I
have watched a lot of interviewsand a lot of videos.
No one can give you a straightanswer about what can happen in
the future, but all what we cando is that, as we learn how to
work with ai and, mostimportantly, how we train ai,
(14:03):
it's up to us human beings totrain it on the results that we
want, but somewhere, somehow,like it has always happened in
human history, it takes only onegreedy person to change the
balance of whatever can alwaysbe a good thing, and this is
what we need to watch for AI.
(14:24):
I'm happy with all the measuresthat they have been put here
and in Europe about AI and itsethical considerations, but it's
not enough.
We need to be very diligent andeach one of us need to do their
due diligence on the way we useAI.
Finally, let's touch uponinfluence and manipulation.
(14:45):
The potential for AI to be usedas a tool for shaping public
opinion or spreadingmisinformation is a significant
worry.
We see a lot of it alreadyhappening online specifically
that we're going into withoutbeing any way political, but
we're going into an electionyear.
That's a fact.
(15:06):
So we have to use our brain.
We are the human, we are thehigher intelligence on what
makes sense and one doesn't makesense.
We cannot let our confirmationbias and availability bias
dictate on us what to take, whatnot to take from online.
We need to use our humanintelligence and take everything
(15:29):
with a grain of thought.
Um so like, for example, myhusband and me, whenever we
share news, they say oh, youheard this on tiktok, so we have
, though there are some credibleinformation on tiktok, but
there is a lot of non-credibleinformation as well online.
So that's why, as human beings,we need to make these decisions
(15:50):
.
So, in an era where informationis power, ensuring that AI is
used responsibly in publicdiscourse is crucial to
preserving the integrity of ourdiscussions and decisions.
As I said before, fromelections to public opinion, ai
(16:10):
has the potential to bepuppeteer behind the scenes.
The question isn't only aboutwho controls the AI, but also
about the transparency of suchsystems.
Are we aware enough of theinfluence AI has on our daily
decisions?
(16:30):
That's another question that weeach person need to ask
themselves in a very honestmanner.
So, as we finish today's cup,let's keep the conversation
going.
How do we harness the benefitsof AI while mitigating these
risks?
This is a question that I sharewith you.
(16:52):
What role can each of us playin shaping a future where
technology serves humanity, notthe other way around?
Most importantly, let'sremember that every technology,
much like every coffee blend,comes with its unique
characteristics and challenges.
(17:13):
The key is in how we use it.
Let's ensure we are brewing AIin a way that enriches our
society, respects our values andelevates our human experience.
Thank you for joining me forthis deep dive into the ethical
(17:33):
maze of AI at AI Cafeconversations.
Don't forget to subscribe,share your thoughts and maybe
even propose what you'd like usto explore next.
Until next time, this is Sahar,your AI whisper.
Keep your coffee strong, yourethics strong and your curiosity
(17:57):
alive and even stronger.
Till next podcast nextWednesday.
By way, happy 4th of July.
Tomorrow is the 4th of July.
Be safe, enjoy the birthday ofour beautiful America, the land
of the free Love you all.
Be safe.
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