Young and Profiting with Hala Taha - Reid Hoffman: Unlocking Limitless Human Possibilities With AI | Artificial Intelligence | E333
Episode Date: February 3, 2025Starting as an early AI enthusiast during his Stanford days, Reid Hoffman was eager to explore the potential of artificial intelligence, but the technology wasn’t ready, so he shifted his focus. Yea...rs later, inspired by conversations with top tech innovators, he recognized AI’s potential and seized the moment. He became a founding investor in OpenAI and later co-founded Inflection AI. In this episode, Reid introduces the concept of "superagency," where AI enhances human capabilities rather than replaces them, addresses common fears about AI, and shares his vision for a future shaped by AI-powered agents. In this episode, Hala and Reid will discuss: (00:00) Introduction (01:06) AI as the Next Big Wave (03:30) AI, Jobs, and Concerns for the Future (08:01) Superagency: Amplifying Human Capability with AI (18:38) Training AI to Be a Better Human Companion (22:20) Trust and Misinformation in the Age of AI (25:01) Why Human Expertise Still Matters in AI (27:19) Reid’s AI Twin (30:12) Leveraging AI for Content Creation (31:37) How AI Will Shape the Future Reid Hoffman is an entrepreneur, investor, partner at Greylock, and co-founder of LinkedIn and Inflection AI. He was an executive at PayPal and a founding investor in several companies, including OpenAI. Reid actively supports various non-profits and has received numerous accolades, including an honorary CBE from the Queen of England and the Salute to Greatness Award from the Martin Luther King Jr. Center for his philanthropic efforts. Resources Mentioned: Reid’s Book, Superagency: What Could Possibly Go Right with Our AI Future: https://amzn.to/4g7cfVG Reid’s Book, Impromptu: Amplifying Our Humanity Through AI: amzn.to/4an8J8g Reid’s AI Video, Reid Hoffman Meets His AI Twin: bit.ly/4jzlVeD Sponsored By: Shopify - Sign up for a one-dollar-per-month trial period at youngandprofiting.co/shopify Airbnb - Your home might be worth more than you think. Find out how much at airbnb.com/host Rocket Money - Cancel your unwanted subscriptions and reach your financial goals faster with Rocket Money. Go to rocketmoney.com/profiting Indeed - Get a $75 job credit at indeed.com/profiting RobinHood - Receive your 3% boost on annual IRA contributions, sign up at robinhood.com/gold NordVPN - Get 4 extra months on your 2-year plan with NordVPN plan at nordvpn.com/profiting Active Deals - youngandprofiting.com/deals Key YAP Links Reviews - ratethispodcast.com/yap Youtube - youtube.com/c/YoungandProfiting LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new All Show Keywords: Entrepreneurship, entrepreneurship podcast, Business, Business podcast, Self Improvement, Self-Improvement, personal development, starting a business, Strategy, investing, sales, selling, psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, technology, marketing, negotiation, money, finance, side hustle, Startup, mental health, Career, leadership, mindset, health, growth mindset. AI, ChatGPT, AI Marketing, Prompt, AI in Action, Artificial Intelligence, AI in Business, Generative AI, AI for Entrepreneurs, Future of Work, AI Podcast Productivity, Work-Life Balance, Work Life Balance, Team Building, Motivation, Mindset, Manifestation, Time Management, Life Balance, Goal Setting, Goals, Resolutions
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This is going to generate magic.
And there will be more agents than there are people.
The future is sooner and stranger than you think.
You co-founded Infliction AI with Mustafa Salomon,
and you're really creating companions for people.
We've moved from the computers being the bicycle of mine
to AI being the automobiles of the mind.
Let's figure out how we want the technology to evolve,
how we're going to use it, how we use it together,
how we use it individually.
Human beings will be replaced by other human beings using AI,
and in some cases by AI,
by AI, but there will also be a bunch of new jobs created too.
Why are you so optimistic about AI?
Because I think AI is going to be the future is already here.
It's unevenly distributed.
Yap Gang, welcome back to the show.
Today we are playing part two of my episode with Reid Hoffman.
Reid Hoffman is an incredible entrepreneur.
He's the co-founder of LinkedIn and Infliction AI.
And in part one of this conversation, we focused on entrepreneurship.
So if you haven't heard that yet, make sure you stop and go back and
listen to that one first, especially for an entrepreneur. We talk all about blitzscaling. We talk about
his early failures as an entrepreneur, and he uncovered so many gems in this conversation. You don't
want to miss it. If you've already heard that one, go enjoy part two of this episode on AI,
where we're going to learn everything that he believes AI will bring to our future, including our
own personal AI agents. It was an incredible conversation. You guys are going to blow your mind with
this one. So without further delay, here's my conversation with the incredible Reid Hoffman.
AI is definitely transforming the world, and I know that you're doing a lot in AI. So let's start
talking about that. When did you first get interested in AI and realized its potential impact?
In one sense, my undergraduate major at Stanford was artificial intelligence. It was called
Symbolic Systems. It was kind of the earliest undergraduate AI major. But then I concluded the time
wasn't right, and I went off to do other things. And then it was discussions with a set of
different people, Demisovus a deep mind, Sam Altman Elon Musk, relative to open AI, and some other
things that, okay, actually, in fact, now is a time. And the particular thing wasn't so much the
invention of an algorithm. A lot of the fundamentals of the kind of algorithms that are being used for
the magic of today. There's been a bunch of inventions, but the
fundamentals were already somewhat there. What the transformation was, was essentially scale-compute
and learning machines and data to learn from. And it was like, oh, this is going to generate magic.
Actually, none of us are quite sure exactly all the kinds of magic that will come out of it and what
will happen once it's GPD-5, for example. But we know we're going to be able to create things
that are capabilities, cognitive capabilities,
that have never been seen before.
And that simple ways to parallel metaphor is like,
well, actually, in fact, every single computational device
isn't going to no longer have an interface in a manual.
It's just you're going to talk to it, right?
Or everybody's going to have multiple agents and assistance
for everything they're doing,
whether it's podcasting or writing or analyzing or speaking
or comprehending,
and all of this stuff is going to help.
Or another way of putting it is anything that has any computational units at all
is going to become much more intelligent.
All of these things come from this scale, compute, learning revolution.
And that was probably 2014, 2015, was when I really got the vision hit me fully,
and I went to my partners at Greylock, and I said,
hey, look, I think we're going to still make a bunch of money doing this.
crypto stuff. I did a few things in Bitcoin and other things. So keep doing it, but I'm going to
focus entirely in AI because I think AI is going to be the next wave and I want to start working on it
right now. And I love how you're so optimistic about AI. I've interviewed so many people about it.
Mo Gao Dad, Mustafa Salimann, Fei Fei Li, just everyone, from people who started a long time
ago on it to the new guys. And everybody kind of has a different mix. Like some people are really
positive about it. Some people are pretty pessimistic. Why are you so optimistic about AI? And can you
give us some counter arguments to what pessimists typically say? I'm familiar with every single
pessimist argument. And the frequent thing is something along the lines, like, let's take the most extreme.
Can you guarantee me that we won't deliberately or accidentally create terminators? And you go, no,
I can't guarantee you. Oh, then it's really bad. We should have a cautionary principle. And you're like,
Well, that's if you thought that the only thing here was creation of Terminators or not.
So, like, for example, take this is called existential risk.
Let's take existential risk.
Existential risk is a basket.
It's not just are there killer robots or not.
It's also nuclear war, asteroids, pandemics, climate change, a bunch of other things.
So you say, well, if we create AI, is the basket, well, yes, we may add the Terminator robots as a negative possibility,
but is the basket of risk getting better or worse?
and I think it just gets better
because it's the only way I can think of to solve pandemics.
I think it's already helping
in questions of advancing
certain technologies around climate change.
There's just a stack of things
where you go, just creating it is better.
Next thing
is people say, well, what about jobs?
And you say, well, okay,
there's basically,
I think always in the transition,
there'll be difficulties and challenges
and navigating that transition is one of the things
I'm most focused on,
but it's just like the industrial revolution
with the loom and everything else
and moving to the power loom.
And we're going to have that.
That's going to have a disruption in society.
There's going to be challenges with that, guaranteed.
But on the other side,
like when we look at our entire lives today
of societies that have middle classes
and prosperous societies,
it all comes from the industrial revolution.
So the other side of that
will very much look like
the similar kind of amplification of what we've had here.
Now, you say, what does that mean for jobs?
Now, obviously, we know we need them for economy
and people's sense of purpose and sense of commitment.
And you say, look, what we're going to have is all this transition
by which we have amplification intelligence, right?
The thing I described my last book before superagency impromptu,
which is AI means amplification intelligence.
And so human beings will be replaced by other human beings using AI.
And in some cases, by AI, but there will also be a
a bunch of new jobs created too.
And just like we didn't have a chance
to really envision it in the future,
we have to believe that's going to happen.
Now, if you said,
we've now created our science fiction paradise
of Star Trek,
and no human beings need to work anymore.
What happens?
By the way, that's called a good circumstance
and we'll figure it out.
And we've had societies
like European and other nobility
where there was entire groups of people,
classes of people who didn't have to work,
And we may do with our lives.
So even if we get there.
So I think that it will be difficulty in transition,
but like an amazing outcome.
And then you say, well, why are you so passionate and so positive about this?
Well, today, we have line aside to creating on your smartphone a medical assistant or a tutor
that is better than your average doctor and is a tutor on every subject for every age.
We just need to make that available to every human to help people.
the eight plus billion of us around the world, just how I'm having access to a smartphone.
That's one of the things that I think is super important.
And that's what we're, like all the doomer and gloomers, essentially are delaying that future.
And that delay has a huge cost in human suffering.
Oh, my gosh.
I loved everything that you just said.
It's just so interesting.
And I feel like it ties a lot of things together that we've talked about on the podcast before.
So a lot of your book is talking about human agency, right?
And the concerns around AI and human agency, you talked about it with jobs, right?
And the fact that you don't think it's going to necessarily be a bad thing if AI
is going to add new jobs, will maybe become more artistic or whatever as humans and figure
out our time in other ways.
But when it comes to human agency, can you talk to us about how technologies in the past
like the telephone and cars actually had similar things
so that people can understand that we've gotten through this before.
Thank you for reading the book and asking questions from it.
So look, what people don't realize is every new major general purpose technology
has a discourse that's very much like parallel to the one we're having today,
which is this new technology is going to destroy society.
When cars came out as like, oh, men, because it was mostly men wage earners back then,
are going to stop getting married and everything else because they're going to be saving up for the car,
and it's going to destroy our institutions of marriage. And these are dangerous for what happens in the streets.
Similarly, for example, when the phonograph had to be pitched, it had to be pitched, it had to be pitched,
it's going to be used for church music, right? Because it will help people to have church music at home.
Because the kid like, well, what are people going to do this with?
Are they going to be distracted, or are they going to be sitting on their couch just like television, doing nothing?
And television is going to destroy society, et cetera, et cetera, et cetera.
And so, in matter of fact, we had this discussion around smartphones within our memories.
And so the thing to remember is to say, yes, it's going to completely change the future.
It's going to change the future in the way that we experience our agency, how we think of ourselves as kind of operative agents, what we're capable of doing.
what other people are capable of doing, but that change has thus far always ended up being very
positive. Now, the transitions have been difficult. The printing press, which was described as,
oh, it's going to destroy human cognition by reducing the ability of memory. It's going to create
a whole bunch of misinformation. The truth tellers in society, which in those days were priests,
are going to be undermined. And of course, since we as human beings are very best,
bad at these kind of transitions, it led to nearly a century of religious war.
So you go, okay, the outcome can be really good, but what do we do with the transitions?
Now, one of the things I'm pointing out in the AI context, and part of the reason for writing
superagency and part of the reason for doing this is to say, well, I expect we can use both
the lessons from the past, these technology transformations, and we can use AI to help us?
So you say, well, shoot, you know, my job's now going to be done with a human using AI.
Well, can the AI help me learn to be that human?
AI? Can the AI help me figure out which jobs would be good for me with the AI helping me to do
them, right? Et cetera. Can the AI help me with a transition? And so what we need to be doing is
learning from the past in these lessons and transitions and then deploying the technology to help
us do that, because one of the amazing, unique things about AI is it's the first technology that
can do that. Previously, you were like a dock worker. It's like, I'm a big, strong person. Well,
that doesn't help me learn how to use a forklift, right? And now the forklift is there.
And now the fact that I'm a big, strong person doesn't really matter.
Right?
So my competitive edge in this job knows and matter.
It's like, well, but now we have a forklift that will go, hey, sit here.
Give me direction in doing the following things.
Here's the ways that we can work together.
Here's the things that you need to watch out for in terms of how to use me and what kinds of things to do.
And here's the places where, as I currently understand it, I'm going to be bad and need help, and you can help me with.
And now I can do the job transition.
So that's the kind of thing that I think is why agency is so important to focus on.
And if you look at most of the things that people critique about these technologies, including AI, including smartphones, including cars, is this change in agency, whether it's like privacy or work and jobs or capabilities by the state, by the people, that then get people to be highly concerned.
and you're like, well, actually, in fact,
if we go through it, if we do it in the right way,
it'll be magical, I think, anyway,
but it can be less suffering on the path to being magical
and better navigate it if we do it the right way.
So when you say super agency, basically what you're saying is
we have human agency with AI.
They'll be helping us become better humans,
and that's why we have super agency.
And then AI itself is going to be able to do things on its own, right?
So can you talk to us about how AI will,
have agency. And then how do we imagine humans actually interacting with AI? I talked to Mustafa
Soleiman, who I know is your colleague, and he told me that like every human's going to have an AI
companion, and it's going to help them, you know, go on job interviews, start companies. So talk to us
about those kind of concepts. Part of what freaks people out a little bit is we are going to this
agentic universe. We're all of a sudden, as opposed to having phones and PCs, which we'll still have,
we'll have agents. And by the way, we'll have more than one. We may have one that we're, you know,
particularly the hollow or read ongoing companion, always, you know, always around us and helping us with things.
But there's going to be a suite of them with kind of different specialties and different engagements.
And by the way, your office is going to have one.
Your working group is going to have one.
And probably your podcast is going to have one, et cetera.
And we hear fairly soon.
And people say, well, if they're agentic, does that take my agency away?
And the answer is no.
The same way that when you work with colleagues and you work with employees and everything else,
that expands your agency, that doesn't take it away.
So the agency is, I think, extremely important here.
But by the way, a lot of it's kind of the mindset.
Like if you think of your smartphone is,
well, here's the way that everyone can get to me all the time
when I don't really want to.
And here is this microphone and camera that's following me around,
and I don't know what it's doing.
Oh, gosh, I'm essentially going,
oh, my God, my agency is being slaughtered.
Whereas I go, no, here's the way that I can stay in communication
with a bunch of the people.
I can call out to people.
I can hear from people,
sometimes when I want,
sometimes when I don't,
but I have choice over that.
It helps me navigate and never get lost.
So, yes, it always knows where I am,
but it also knows where I'm.
It helps me never get lost.
And so, therefore, it can be an amplification
of my agency, and it changes
what the landscape of my agency is.
And so I think that's part of what's so important
about thinking about this new,
agendic revolution.
Now, some of this will also be the,
hey, I talk to my agent,
and I say,
hey, I'm going to go to Rome, figure out what a really good attenery is, book anything that's
really important to book early, you know, et cetera, doesn't, and it comes back to me and does that?
And you go, well, that's really awesome.
And you say, well, it's going to mean that the travel agents don't have a job anymore.
I said, well, actually, in fact, travel agents will change because it'll be AI plus travel
agent.
But, like, you know, it might be a little bit more along the lines of, here's the things that
normally seen, like, go see the Sistine Chapel in Rome.
Right?
You know, that's just different.
But it may be, oh, you're the kind of person who would really like to do the after-hours tour.
And this is the way you do it and da-da-da-da.
And maybe agents don't know that much about the after-hours tour.
Or maybe there's a midnight bike ride that might be really good that, you know, doesn't necessarily know about.
So there's ways that these kind of pulling things together.
And by the way, these agents will be making predictions off all the data, which is a lot, more than any of us have, about what things would be really good for us.
But it's like, for example, play with chatGBT and see what kinds of things it writes.
And at least every time I've used it so far, and I suspect this will also be true of GPD5 and GPD6,
I can always add something interesting to it.
I can change it, I can make it sharper, more distinct, etc.
And that's kind of a mode for thinking, well, why will I always have a role in the things that really matter
is because I'll figure out how to add something to it in a useful way,
even as it gets much more powerful.
Now, if you look at it today, like one of the things that I'm a little always bemused by
is people say, I saw two articles in one day earlier this year,
which was all that AI is good for is faking homework.
AI is going to destroy all jobs.
And you're like, okay, part of that's like right now,
you're like, look, there's a very long way away from all this implication
that everyone's talking about.
I mean, there's some that's right here right now that's really spectacular,
but there's a long journey, a long path, a long role for human beings to be participating in
various ways and to be evolving and changing. And I, for one, look forward to that path.
I have to say, thinking about agents is so mind-blowing. And when I think about AI and all the
talks that I've had, a lot of people talk about it as being like a great equalizer. And we were
just talking about how humans are not going to work and everything like that. But I'm competitive,
right? So, like, as I've been going through these conversations,
I've been thinking about like, well, how am I going to be the best version of me?
How am I going to be like a better entrepreneur and compete?
But now, as I've thought about it more, I realize you have to be the best trainer of the AI.
I kind of imagine everybody being an entrepreneur, having agents that work at their personal
company, basically.
You basically have to be the best at coordinating your agents and figuring out how to like
mobilize all that AI and all your AI support.
And so smart people are going to be the best.
be smarter at that, right? And creative and innovative people are going to be more creative and
innovative when it comes to their own agents. And so I just feel like a lot of people are probably
worried that there's not going to be any room for them to your point as humans, but I really
think it's going to be how you manage your AI. Exactly as you say, in addition to training,
it's also deploying, organizing, executing, strategizing, all of the above. And that's part of
the reason why with superagency and the other content that I've been,
and trying to get out there in people's hands, like,
start playing with it, start exploring,
because you want to start building the muscles.
It's kind of like, hey, what is locomotion going to look like now?
We've just invented, we've moved from the computers being the bicycle of mind
to AI being the automobiles of the mind.
All right, let's all go learn how to drive.
Let's figure out how these things work,
how we want the technology to evolve, how we're going to use it,
how we use it together, how we use it individually,
and getting engaged with it is really important.
and that's the most central thing.
And again, part of reason I called it agency
because it's like, you know, own your agency
and go do it.
And part of the super agency is when millions of us
all start doing that,
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much more than just even the technology
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transmitter by the New York State Department of Financial Services. So I know that you co-founded
inflection AI with Mustafa Soleiman, and one of your big missions there is to create companions,
that have high emotional intelligence for humans.
It's not a workplace tool.
You're really creating companions for people.
Why do you think that's important?
And what gap did you see in the AI world?
Why did you get on board with that?
So that's how we start with inflection.
And part of that was because we said,
well, what's the world that we see that necessarily people don't see
that could be a very good product to create, entrepreneur one, right?
And we said, look, this agent, eugenic world coming.
There's going to be more agents than people.
Everyone's going to have an agent that's their own personal agent that they have trust with and is on their side.
And what are the key attributes to that? Because if you look at even the very earliest of how other people were thinking about agents, they were thinking about as information processing and work, and we were thinking about this as a trusted companion for how you'd operate.
And so EQ was as important as IQ. So we trained the inflection model pie, personal intelligence on this.
Now, we've since then, we spoke about pivots earlier. We've pivoted the business.
The consumer application of that is now being run as part of things that Microsoft's doing.
And what inflection the company is doing now is providing that same kind of best-in-class IQ,
but also best-in-class EQ, to businesses that want to deploy this within their ecosystem,
to their customers, to their products and services.
So it shifted to kind of a more of a B-to-B model where the PIE agent is more the kind of exemplar
of one of the unique models that inflection has that it can deploy,
for your particular business challenges.
So it's a classic startup journey in addition
to being an interesting evolution of the AI things.
And when it comes to having good EQ,
I know obviously AI is not conscious, right?
So how do you actually train it to have empathy
and things like that?
Part of what you're doing,
when you're doing the training of an AI,
is you're training it to say,
it's this prompt completion,
like, what do you say after this is said?
And part of what you're doing,
both in data and in post-training,
is you're saying,
okay, here is the kinds of things that count as good saying.
So you have a whole bunch of humans who are running the system through and saying,
okay, to prompt one, like you say, the person says, how's your day, and says, well, my pet died today.
And it's like, well, I respond A or respond B, which one's a better response?
And then human beings respond to that.
That's part of how it gets aligned with ours beings, part of how it gets to kind of an EQ.
And you're partially telling your human beings who are training this, where you want to know.
and prompt the responses to so that they're essentially doing the training for this.
And so if it said, for example, option anyway, oh, that's too bad.
You should really look up a grief counselor.
You know, and option two was, oh, that must be really hard.
Oh, my gosh.
Is there anything I can do to help?
I feel for you.
Or, you know, probably wouldn't say that just because it's an AI, but it's like something
because you don't want to make false anthem or worse anything.
But it's say, look, I'm certain that connecting with friends or other kinds of things,
how can I be of most help and shouldn't you want to have a conversation about it?
That would be the kind of thing as, oh, B is better than A, right?
And so then by that, it learns how to have empathetic, kind, compassionate conversations
because you can do that even without necessarily being compassionate or empathetic yourself,
because as you noted, it's not conscious.
And by the way, there's a bunch of human beings who are also not there empathetic,
who learned to be more empathetic just by, you know, kind of go,
this is the way you do this.
It's really cool what you guys are doing at Infliction AI.
So one of the things that I wanted to talk to you about was trust when it comes to AI.
Because I feel like a lot of people are worried about misinformation.
There's so many deep fakes out there.
People are just worried about trust when it comes to AI.
So what are your thoughts around that?
Look, trust is in an unfortunately short supply these days, generally, not just with AI.
Trust in institutions, trust in democracies, voting systems.
other people's intent, you know, other kinds of things.
So trust is challenging.
Now, the way that I think is going to be very important to build and maintain trust of
the AI is for the people who are building it to be very clear about what their goals are,
what they're doing, what they're doing to try to build and maintain trust.
Part of the reason why, of course, my encouragement with superagency is for people to go try it,
because as they begin to try it and learn what kinds of good things they can do,
what kinds of things are going to be empowered, that will be the kind of thing
that builds the kind of positive trust in these kinds of circumstances.
And my advice to individuals encountering these things, like, you know, a classic suspicion is
say, well, big tech companies who are trying to make a lot of money are building these things
and they're trying to make money from you.
And it's like, well, by the way, trying to make money from you is usually offering you
a product and service you really like that really is something that you come back for that
you keep using.
That's good for you.
That's the goodness of modern business.
So you go, okay, so which things should I try?
trust these AIs on and which things should I not? And the answer is, well, if you generally should
understand that company is trying to have you as a lifelong loyal customer, that generally
speaking, most of them are smart about doing that, so they're going to try to make it good.
If it's something that's particularly important to you, cross-checking, it's important.
Like, you know, when I go to GPD4 and get a prompt and I go, you know, huh, that doesn't really make
full sense to me. I'm going to go, look at this a little bit more.
because it's like, okay, if it said something about like, yeah, your lab, your black lab can eat that mushroom.
It's like, nah, I really want to know.
Yeah, I can double-check that.
You know, so, and so, you know, that kind of thing.
And by the way, over time, these will get better and better for how it operates.
And so I think that's the kind of thing.
But I think that's the only by engaging and using having dialogue, having that dialogue match our experience over time, being a,
accountable as creators and companies for, you know, here are the things that we want in the
use and here are the things that are still under development and being clear about that so that
people have a sense of, okay, I understand it's not perfect, but it could be really good for me.
I feel like we're in this transition period where humans that have a specialized expertise
right now are at such an advantage. So, for example, I have a podcast network and I'm probably
one of the most knowledgeable people about monetizing podcasts. And I write a newsletter that I write
personally with all my industry knowledge. And sometimes I'll just be like, well, what would
chat GPT say? And then it's all wrong. And it's just so basic, right? It's so basic. It's kind of wrong.
And then I just love it because I'm like, okay, people are getting my newsletter, which is this
human experience that they can't get anymore. And it's making me feel like,
I actually am more valuable.
I think it will transition where that might not be the case in like two years,
but I feel like we're in this transition where specialized knowledge from humans is actually like really desirable.
Broadly, yes.
And part of it's obviously that specialized knowledge being evolved with how you're figuring out how to use,
like you made this comment earlier, how you use these new tools really effectively.
And so even with a depth of experience, the early involvement,
with OpenAI and all the rest. I constantly am asking questions and trying to use a number of
these tools myself for real things, not just like create a sonnet for my cousin's birthday or any of
this kind of stuff, but it's also things like investment analysis or market trends or
other kinds of things. And frequently, just as you said, you know, like, ah, that's not very good.
Okay, fine. And sometimes I go, I iterate on it. And sometimes I go, oh, no, no, I think that's just
not very good right now. I'll use it for other things.
but using it constantly.
So I have, I've enabled the voice agents on my phones
so that I can point my camera at things
and talk to chat GBT about the thing I'm looking at,
say mushrooms, right?
And so, and, you know, that kind of thing
as a way of understanding it.
And I do think that human specialized knowledge, creativity
will even grow at a premium,
but it will grow at a premium in the use of the tools too.
Like you can't just bite in.
Like, I am genius.
I don't need AI. It's like, no, no, I am genius because of the way that I use AI to be an extra
special genius. We were talking about deep bakes before, and I came across this interview of you
interviewing your own AI on your YouTube. You call it read AI, and it's an AI video avatar
of you. Talk to us about how you felt in that interview. Did you learn anything from it?
Did you help you realize anything about AI in the future? It came about primarily because I was like,
Look, here's a technology that everyone's so skeptical about.
Our name for it is deep fakes.
It's kind of like if your name was disaster.
Okay.
So it's like, okay, but can I imagine that there would possibly be good things that could work with this?
And I was like, well, let's explore because we should.
And let's share the exploration.
So we'll have this kind of interview and conversation.
And as I said at the end of the interview, I thought I was going to hate this.
because I'm not one of those people who talks to myself in a mirror.
I was like, am I going to feel schizophrenic?
Am I going to feel self-engrandizing?
Am I going to feel like, I can see all these different ways
that I could possibly hate this thing?
And actually it was more interesting as kind of a palette and exploration.
Like if you said, well, would I only want to talk to read AI?
Absolutely not.
But would I want to talk to read AI sometimes in doing these things
and have that as a way of having a dialogue with myself?
and also showing what's good at.
Because once I did that,
one of the things I realized is I was,
after I made that,
I was off to go give a speech
at the University of Perugia
in defense of an honorary doctorate,
and I sort of wrote out the speech,
and then I went, you know,
I could actually have, read AI,
give this speech.
I'm only really fluent in English
in all of these other languages,
you know, ranging from Hindi to Chinese,
to Arabic, to all these things.
And to give the speech
in those languages.
where people are much, like, it was bizarre, listening to me, my voice, speaking Hindi or
Chinese fluently. It's like, what would I sound like if I were speaking Chinese? Now, one of the
things that my French friends told me is my French sounded like Canadian French. And, you know,
I don't know what the story of that is. How it is, is there more data audio samples of Canadian
French or somehow it goes, well, you're North American, so we're going to make you from Quebec
rather than putty?
Who knows?
But it was humanizing.
I thought I would really dislike it
and it was humanizing
and it started making me realize
just as I say to other people,
hey, you should use the technology
to get a sense of it
and to reinforce your own agency
with the technology.
It was like, that was me doing that with that
and we continue to do new things
with read AI.
Probably one of the funniest ones
was the number of different press outlets
that asked,
we'd like to do an interview
with read AI.
Oh, my gosh.
It was like,
Oh, that's interesting. Cool.
Yeah, it's so cool.
I feel like in terms of content creation, I've got a lot of creator entrepreneurs that listen to the show.
I feel like AI is totally going to change the game.
Even with me, I have my AI voice.
If I'm sick or if I miss a commercial, we can use my AI voice as an intermediate step.
I'll always re-record it and make sure that it's me.
But it's really close to my voice.
Like, people really can't tell.
And we're working on my AI video.
And to your point, like, people probably think I'm crazy.
crazy creating my own deep bake, but I want to be able to scale myself and this is the future.
And you just gave me such a great idea in terms of the translations.
You know, people love to watch content all over the world and not everybody speaks English.
Not only that I speak English, but also people most emotionally resonate with content that's in
languages that they are native to. And so most people are native one language. Sometimes they're
native a couple, but it's within the languages they're native to, which roughly means language.
they learned complete fluency before they were 12
for the vast majority of people.
It's a human connection.
If the person says, oh, I'm hearing this in Chinese,
it's warmer, it's smarter, it's more engaging, et cetera,
if Chinese is my native language.
I do feel like people who have a lot of content out there
have a very unique advantage going into the future
because we can actually create these advertisers of ourselves
because we have all this content.
Yep, absolutely.
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One last question for you on the future of AI.
So you're obviously at the forefront of this.
You've thought a lot about it.
You've written books on AI.
So I just want you, and you can take your time with us because I think it's very interesting.
How do you imagine our world to be five, ten, twenty years in the future with AI?
What do you imagine the world to be like?
Well, one of the things that's a great way to look foolish in the future is make overly specific predictions,
partially because the usual principle I used to say in this is the future is sooner and stranger than you think.
And so people thought in the 80s we're going to get AI, but we didn't get AI, we got the Internet, we got mobile phone.
Well, maybe now we're going to get AI.
I mean, you know, we're going to get what shape of AI is the interesting question.
What I think is the minimum guarantee is there's going to be, as opposed to like computer interfaces or phone interfaces or else, we're going to have agents.
And agents are going to be the primary mode of, you know,
navigation, what we describe in super agency as an informational GPS. So in this entire
informational digital world will do that. And there will be more agents than there are people,
especially when you consider the, even though there might be just one agent pie, that's kind
of then instantiated with what it remembers out of its conversations and interactions with
Hala, what it understands remembers in its conversation, interaction with Reed, et cetera, et cetera,
is kind of this flow of agents. Now, one of the things that I think people haven't really fully
tracked yet, but I think we're very interesting is how agents end up talking to each other,
because when we have that many agents, part of how you and I are going to coordinate,
like we say, hey, what should we talk about in the podcast? Well, one of our preps will be,
your agent will talk to my agent. And they'll kind of go, well, you know, these topics will be
really good. And, you know, hey, when you ask a question this way, it'll be great. And when you
answer it this way, it'll be great. And da-da-da-da-da. And, you know, that kind of thing.
or this could be a really new, interesting thing to try,
and that will be part of the world we will be in.
And I think that part of that will then make the premium on thinking creatively,
thinking differently.
You know, as you mentioned, will be much higher.
My guess is, for example, if you go back 30 years,
and you told someone there were going to be these jobs called web designer,
data scientist, other things, they go,
what are you talking about?
you know, crazy person from the future.
And I think that's another thing that we're going to see even more of,
which is like, oh, didn't realize that was going to be the job.
Huh.
And that's cool.
Those are some of the things, but I try not to make overly specific predictions
because usually they're, maybe I'll put it this way.
William Gibson, science fiction author, has a really good quote,
which is, the future is already here.
It's unevenly distributed.
He's been a great neuromancer, the internet, everything else.
Now, he was being asked in an interview, well, how did you see the future?
And it's like, look, thank you for the compliment.
But by the way, if you read Neuromancer, sure, I got AI right.
I got the internet right.
I missed the mobile phone.
And so that's the kind of thing that we're always looking for is that surprise and delight moment.
And who knows with AI, to your point, like, we have no idea what we're going to see.
I'm excited to see it unfold.
Okay, so I end my show with two questions.
I ask all of my guests.
The first, and you can just answer however you'd like,
doesn't have to be about anything we talked about today.
What is one actionable thing our young improfitors can do today
to become more profitable tomorrow?
So to become more profitable tomorrow,
I guess I won't say literally tomorrow,
like since one day, 24 hour.
I would say the important thing
you know, and this is kind of part of how I think about the world.
The important thing is to be thinking about,
what do you think the environment your business is going to be in in one, three, and five years?
And what do you think that environment is going to be changing based on patterns of technology?
What do you think that's going to be changing on patterns of competition?
What do you think that's going to be changing in patterns of how you deliver your business?
Supply chain, etc.
And so by looking at that probable guess, how do you run the experiment today that informs you about
which big choices you need to make in that one, three, and five-year time frame.
The experiment won't necessarily make you profitable, but the experiment may give you the
thing that either gets you to more profit or also helps you navigate the changes where
which things are the new living creatures and which things are the dinosaurs in the future markets.
Great advice. And what is your secret to profiting in life? And this can go beyond financial,
of profiting in all aspects of life.
Fundamentally, part of why in the startup of you, I said life is a team sport.
Because the startup of you is actually advice I give to entrepreneurs refactored to individuals
being the entrepreneur of their own life.
So it actually applies to founders, applies to CEOs, applies to executives, applies to people
working.
But it's the question about life being a team sport.
It's you are amplified by your team.
It's more fun.
You learn more.
and they help you in both upside and navigating downside.
So the most fundamental thing, life is a team sport.
And now we're going to have agents with our team.
Yes, amongst our team.
Amongst our team.
Yes, with our team, we'll also have agents and everybody will have agents.
Reid, this has been such an awesome conversation.
I really appreciate all your time, all your wisdom.
Where can everybody learn more about you and everything that you do?
Well, LinkedIn.
You know, I post just about everything there.
I also have Reedhoffman.org and this year, publishing superagency.
Amazing.
I highly recommend everybody go get super agency, also get Blitzscaling.
I love that book as well.
Reed, thank you so much for your time today.
Thank you for joining us on Young and Profiting Podcast.
A great pleasure.
I look forward to our next conversation.
Okay, guys, that's the second installment of my two-part conversation with the amazing Reed Hoffman.
He had so many great insights about how we should think about AI and where it's headed.
And I've got so many takeaways from this conversation, but here's my most important takeaways
from this chat.
First, big picture.
New technology changes industries.
And that's what AI is going to do.
And that's what it's going to do to your industry.
So you need to get in front of it and ask, what does this technology mean for my business,
my product or service, and how will we operate as a company to get ahead of this?
Technology also breeds fear and paranoia.
And the conversation that Mean Reid had about the potential harms of AI is one that society has had for all the other major innovations as well, from the printing press to the smartphone.
People are always scared of new technology.
And we should be having these conversations, but like Reed said, we should also recognize that most of our fears about these innovations actually don't come to pass.
And we live in a better world because of them.
And the world we could live in, thanks to the advances in AI, could be truly.
transformational. As Reid put it, if we do it the right way, it could be magical. Put simply, AI means
amplification intelligence. We're going to be having AI agents on our phones and devices that
become our personal assistants, our tutors, our medical and financial advisors, and so much more.
We're going to be having capabilities at our fingertips that we can't even imagine today. We can't
even foresee what the future is going to be like. And when you think about who's going to thrive and
flourish in this world of super agents, it's going to be the people who have managerial experience.
It's going to be the entrepreneurs, young improfitors. We are the most equipped to handle this
AI revolution because we're creative, industrious, innovative. We know how to manage, delegate,
motivate, we know how to let go of control. We know how to handle this young improfitors.
AI is going to multiply what you're capable of. It is not going to replace you.
or your business. We're going to ride this wave, young improfitters. Thanks for listening to this
episode of Young and Profiting Podcast. If you listen, learned, and profited from this conversation
with the legendary Reid Hoffman, please share this episode with somebody who'd love it. And guys,
I've been loving reading your reviews. So many of you are leaving reviews every day on
Apple, Spotify, CastBox, Player FM, wherever you listen to your podcasts. And it just means the world to me.
I love to read your reviews.
It makes me feel motivated.
It's great for our social proof.
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Please tell your friends, tell your family, tell your colleagues,
tell all the entrepreneurs in your life that they've got to listen to Young and Profiting
Podcasts.
If you guys like to watch your podcast as videos, I've been doing all this amazing YouTube content.
My YouTube channel just hit 50K subscribers.
which is much smaller than my audio channels,
but I'm going to invest super heavily into video this year.
And I just interviewed Mel Robbins in person.
I interviewed Gary Vee in person.
I just had Sahel Bloom in person that didn't come out yet.
So I'm doing so many more in-person videos,
and I absolutely love it.
It's making me a better interviewer.
It is just so much better for chemistry,
and I've just been really digging it.
So check out YouTube for all the video content.
If you guys want to follow me on social media,
I always post like fun stories about my life on Instagram at Yap with Hala.
Put a face behind the name.
Why not?
You can also find me on LinkedIn.
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Just search Halataha.
And a big thanks to my Yap production team.
If you guys don't know, I have an award-winning social media and podcast agency.
It is my podcast agency that runs this podcast.
I also have a podcast network that gets me sponsorships and gets 30 other podcasts
in the business-based sponsorships as well.
We're crushing it on all sides.
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I literally have the best team in the world.
We're so picky about who we hire.
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And that's why we got A-plus money in the bank.
This is your host, Halitaha-a-Taha-A-A-Podcast princess signing off.
