All right, so today we're doing a deep dive on AI and robots,
what it means for you.
You know, everybody's talking about it.
We're really gonna break it down.
We're dissecting a conversation
with MIT physicist, Max Tegmark.
Okay.
And he had a sit down with entrepreneur Patrick Bett-David.
And they talked about all sides of this, you know,
the good, the bad, the ugly, the potential of AI,
especially for business and society.
Right.
So let's jump right in.
Tegmark goes right for the throat, right out of the gate.
He was at a conference and he was talking about someone there
who was a super wealthy individual,
not Elon Musk, by the way.
Okay.
Who was talking about building three billion robots.
Wow.
And not just any robots.
Robots that can outperform humans
in pretty much every task.
Three billion.
That's a workforce larger than any in history.
I mean, you start thinking about it and right away,
the first thing that pops into my mind
is military applications.
Right.
The economic upheaval that could happen.
I mean, what does that even look like?
And then, you know, it sounds crazy,
but even the possibility of societal control by AI.
Yeah, it's like we're stepping into a sci-fi film.
It really is.
And it's interesting because, you know,
to make his point really clear,
Tegmark uses this analogy of fire.
You know, fire's not necessarily good or bad on its own.
Right.
It can warm your home, it can cook your food,
but it can also burn everything down.
Sure can.
And AI, he argues, is the same way.
It's how we use it that determines
whether it's good or bad,
and more importantly, who controls it.
And that's the million dollar question, isn't it?
How do we build in the safeguards, right?
Because right now,
regulations are practically non-existent.
It's true.
So how do we make sure that we're not essentially
handing over incredibly powerful tools
with no instruction manual?
Yeah.
You know, it's like giving someone a loaded weapon
with zero training.
Exactly.
You know, you'd never do that.
And you would hope that, you know,
the people who are developing these things
have, you know, the best intentions at heart,
but how can we be sure, right?
Right, and how do we deal with the reality
that there are powerful players in this game
who may not have those best intentions, right?
Who may be driven by profit,
or other motives that aren't necessarily aligned
with the greater good.
Absolutely.
So yeah, how do we address that?
Tegmark argues that we need AI safety standards,
similar to what we have for medicine or airplanes.
You wouldn't release a drug without rigorous testing,
or let a plane fly without multiple checks, right?
He even brings up the thalidomide tragedy.
Do you remember that?
Yeah, of course.
That was a stark reminder of what happens
when we prioritize profit over safety.
Exactly, and this is a very similar situation
where, you know, things could go very badly
if we don't put the right safeguards in place.
Absolutely, and the potential consequences
are even greater when you think about the scale
and scope of AI.
It's true, but here's where I bet David
pushes back a little bit.
Yeah.
He says, okay, what about lobbying?
What about these powerful industries
that influence regulations,
often with really bad outcomes?
Right.
And then there's the whole global aspect, right?
Right.
What happens when different countries
are playing by different rules?
What if someone decides to build an AI army,
you know, without any oversight?
Yeah, those are very real concerns,
and I appreciate that Bette David is bringing them up.
Yeah.
Because I think it's important
to have those different viewpoints
and to really grapple with the complexity of this issue.
It's not simple.
Not at all, and you know,
Tegmark doesn't shy away from those concerns,
but he does offer a glimmer of optimism.
Okay, I like optimism.
Yeah, well, he says, you know, remember the Cold War?
Remember how the US and the Soviet Union,
even though they were rivals,
they found common ground to avoid nuclear war
because the stakes were just too high for everyone?
Right.
And he's suggesting that maybe,
just maybe, that same logic could apply to AI.
Okay, so he's saying that self-preservation
might be the thing that brings us together.
Exactly, and he even uses China as an example.
They're developing AI at an incredible pace.
They are.
But they're also implementing regulations.
Now, whether those are altruistically motivated,
you know, is debatable.
Right.
The point is, they see the need for some kind of control,
even if it's to maintain their own power,
and that, he argues, is a powerful motivator.
It's true.
So what does all of this mean for,
you know, for the average person?
Right.
What does it mean for our listeners,
especially if they're business owners?
Well, I think Tegmark emphasizes two really important things.
First, don't buy into the hype.
Okay.
It's easy to get caught up in the excitement
or even the fear surrounding AI.
Right.
But he says focus on practical applications.
How can AI enhance your existing workforce, right?
How can it boost your productivity?
It's about augmenting human capabilities,
not replacing humans entirely.
That's a good point,
because I think people get so caught up in the, you know,
the robots are taking over, but it's not that simple.
It's much more nuanced than that.
Exactly.
And that leads to his second point,
which is get expertise.
Okay.
Even having one person on your team
who really understands AI can be incredibly valuable.
It's like having a guide in a foreign country.
Precisely.
They can help you spot opportunities,
avoid costly mistakes,
and really navigate this complex landscape.
So it's about having someone
who can help you see the forest for the trees.
Exactly.
And this isn't just for business owners, by the way.
Yeah.
If you're a parent, this next part is especially important.
Okay.
Tegmark has some really insightful advice.
He says, forget trying to map out
your child's entire career path.
Yeah.
Because the one thing we know about the future
is that it's gonna be defined by change.
Constant change.
So were you saying that adaptability
is the most important skill?
Absolutely.
That and continuous learning,
those are going to be the keys to success
for the next generation.
So instead of saying, you know,
you're gonna be a doctor, you're gonna be a lawyer,
which, you know, who knows if those jobs
will even exist in the same way.
Right.
It's more about saying, okay,
you need to be a lifelong learner,
you need to be adaptable,
and you need to be comfortable with these tools,
like AI, that can help you do that.
Exactly.
It's about empowering them to be the ones
who are shaping the future,
not being shaped by it.
That is powerful.
And, you know, expose them to it early.
Absolutely.
Don't make it this scary, mysterious thing.
The more comfortable they are with it,
the better equipped they'll be to navigate it.
It's not about fearing robots,
but raising a generation
that can work effectively with them.
So how does Tegmark see our place in all of this?
Yeah.
How do we like really truly make sure
that AI stays under human control?
Because that seems to be the big concern, right?
Right, and this is where he leaves us
with a really powerful message.
Yeah.
He reminds us that for most of human history,
we've been at the mercy of forces
that are totally outside of our control, right?
Natural disasters, diseases,
things we have no influence over.
That's true.
It's humbling, isn't it?
It is.
For all our progress,
there's always been this element of,
you know, something bigger than us.
Right.
But here's the thing.
Technology, and AI in particular,
has the potential to change that.
Okay.
For the first time in human history,
we have the ability to not just react
to the world around us,
but to actually shape it.
So we're not just passengers.
We can actually be the drivers.
Exactly.
But, and this is a big but,
with that power comes immense responsibility.
Of course.
The choices we make about AI today
will determine if it becomes our greatest tool
or our downfall.
We're at a critical point,
and what we do next really matters.
And that's something to really think about.
It really is.
It's a lot of responsibility though, isn't it?
It really is.
I mean, do we have the foresight?
Do we even have the courage to do this right?
To steer this technology in a direction
that benefits everybody.
It's easy to get really bogged down,
you know, in the day to day.
Like, oh, this new headline, this new gadget.
Right.
This is about something much, much bigger.
You know, this is about the future that we're creating.
You know, the world that our kids
and our grandkids are gonna inherit.
Absolutely.
And you know what I appreciate about Techmark
is he's not just talking to the tech giants.
Yeah.
He's not just talking to the politicians.
You know, he's talking to all of us.
He's saying, this is a conversation
that we all need to be a part of
because it's gonna take all of us to get this right.
And it's a call to action, right?
Like, we can't just kind of sit back
and hope for the best.
Exactly.
We need to be informed.
We need to be engaged.
We need to be ready to like demand better.
Yeah.
You know? Yes.
From our leaders, from these companies,
even from ourselves, you know?
Absolutely.
It starts with understanding.
Right.
What's at stake.
Yeah.
And then using our voices and our choices
to actually shape that outcome.
Because, you know, it's easy to say,
oh, we need safety standards.
We need ethical guidelines.
We need regulations.
But who makes those?
How do we ensure that those are actually effective?
Because AI is not gonna regulate itself.
Exactly.
It's gonna take a combined effort.
It's individuals, it's organizations,
it's governments around the world all working together.
So this isn't something one country can solve on their own.
Absolutely not.
And, you know, that's why I think these conversations,
these deep dives, they're so important
because we need to shine a light on these issues.
We need to raise awareness
and we need to keep pushing for change.
Because here's the thing, the future of AI,
it's not predetermined.
Right.
It's a choice.
It's a choice we make.
Exactly.
One of the things that really stuck with me
is this emphasis on education.
Yes.
He talks about exposing kids to AI early on,
you know, demystifying it,
empowering them to become the creators,
not just the consumers.
Right, he even uses the phrase team human, you know.
It's not humans versus AI,
it's humans and AI working together.
Imagine that, right?
Leveraging this technology to actually solve
some of the world's biggest problems.
Climate change, poverty, diseases.
It's an amazing thought,
but it's also like a little daunting when you think about it
because, you know, we've talked about the risks,
but now we're talking about actually solving
these huge, huge issues.
It's a lot.
And those risks are real.
Yeah.
You know, Tagmark is very clear about that.
One of the biggest dangers is the potential for misuse.
Right?
Right.
In the wrong hands,
this technology could be used to create autonomous weapons,
to manipulate elections,
to erode our privacy on a massive scale.
Right, so it's like this classic double-edged sword.
Exactly.
Incredible potential for good,
but also for really, really significant harm.
And that's why ethical frameworks are so important.
We need the rules, the regulations,
to make sure that it's developed and used responsibly.
So we can't just assume that everyone's gonna do
the right thing because they can, you know.
Exactly.
We have to be proactive here, not reactive.
We need to be having those tough conversations now
to prevent problems down the road.
And we need to be having them with everybody,
even people that we disagree with.
Yeah.
Because it's very easy to stay in our own bubbles, you know.
Right.
But if we wanna make real progress,
we have to be willing to engage
with these different perspectives,
challenge our own assumptions.
That's where real growth happens, right?
When you've got different voices at the table,
when you've got different viewpoints being considered,
that's when we come up with the most creative,
the most effective solutions to these complex problems.
So it's not just about talking to the people
who already agree with us.
No.
It's about like really being open to learning
from those who see things differently.
Precisely.
And that's tough, you know, especially in today's world
where it feels like everything is so polarized, you know.
It's so easy to just judge or dismiss
or even demonize people who have different views.
Right, right, am I?
Exactly.
But if we're gonna figure this whole AI thing out,
we need to be willing to listen to each other,
to learn from each other,
and to find that common ground.
Because at the end of the day,
this isn't a partisan issue, it's a human issue.
Exactly.
It's about the kind of world we wanna live in,
the future we wanna create.
And that's a future worth fighting for.
I love that.
So like, how do we do it?
How do we as individuals actually make a difference?
Because sometimes it feels a little overwhelming, right?
It's like, does my voice really matter?
You know, I think that's a common feeling,
but Tegmark seems to believe that we can,
and you know, I agree with him.
And one of the most important things we can do
is to get informed, right?
We need to understand the basics here,
how it works, the potential, the pitfalls.
You know, we need to be able to separate
the hype from the reality.
So no more just like blindly trusting
whatever headline we see,
or whatever pops up on social media.
Exactly.
Become a discerning consumer of information, right?
Once you've got that knowledge,
then you can start using your voice to advocate for change.
Okay, so you're saying like, get informed first.
Yes.
And then what, like, contact our elected officials,
support organizations that are doing good work
in this space.
Absolutely, talk to your friends, talk to your family,
you know, start conversations.
The more people who are informed,
the more likely we are to see real change happen.
So it's about spreading awareness
as much as it is about, you know, anything else.
It really is, and it's not just about
what we do as individuals,
it's also about the choices we make as consumers.
Oh, interesting, okay.
Right, supporting companies that are developing
and using AI ethically,
choosing products and services that align with our values,
it all makes a difference.
So you're saying like,
put your money where your mouth is basically.
Exactly, if we want to see ethical AI,
we need to support the companies
that are trying to make that happen.
Makes sense.
And I would imagine, you know,
demanding transparency from these companies.
Absolutely.
You know, we have a right to know
how our data is being used,
how these algorithms are making decisions
that affect our lives,
what's being done to mitigate the risks.
It's about reclaiming some of that control
that I think we've sort of ceded
to these tech companies and algorithms.
Yes, absolutely.
For too long, we've been passive consumers of technology.
It's time that we become active participants
in shaping the future that we want to see.
I love that.
But let's be real, this is a really complicated issue,
and there's no easy answers.
And there are a lot of different perspectives out there.
It can be tough to know what to believe sometimes.
You're absolutely right.
It can feel overwhelming at times.
But I think that's all the more reason
to keep having these conversations.
Yeah, keep talking about it.
Exactly, we need to talk to each other,
we need to share our hopes and our fears,
and figure out how to move forward together.
Because the future of AI,
this isn't something that's gonna be decided
by a select few, you know.
Right.
This is something that will be shaped by all of us.
This collective responsibility.
Precisely.
And it's one that we can't afford to ignore.
The stakes are just too high.
So where do we even begin?
What are some concrete steps that we can take
to make sure that this technology is developed
and used responsibly?
That is the million dollar question.
And honestly, it deserves a deep dive all on its own.
But I think we can start by looking at a few key areas
where action is needed.
Regulation and governance, education, and public awareness.
Those are kind of the pillars
that will support a responsible AI future.
Okay, so let's start with regulation then.
You know, we've been talking about the need for safeguards,
for ethical guidelines, for rules
to ensure the AI is used for good.
But like, how do we actually make those rules?
Who's in charge here?
And how do we make sure
those regulations are actually effective?
All great questions.
And I think first, we need a little bit of a mindset shift.
You know, regulation, it's not about stifling innovation.
It's about fostering it responsibly.
Think of it like building a guardrail on a mountain road.
You know, it's not there to stop you from enjoying the view.
It's there to keep you from driving off the edge.
It's about putting those safety measures in place
before something bad happens, not after.
Exactly.
So to answer your question about who's responsible,
well, it's gonna take a team effort, right?
Governments are obviously gonna play a key role,
but it can't just be them.
We need the tech companies, we need researchers,
ethicists, the public, all working together.
It's a group effort.
It really is.
It's what we call a multi-stakeholder approach.
And that's the only way we're gonna create regulations
that are comprehensive, that are enforceable,
and that can actually adapt to this, you know,
rapidly changing world of AI.
Because that seems to be one of the biggest challenges,
right, that it's such a moving target.
Absolutely.
It's like trying to hit a moving target, you know?
Yeah.
What seemed like science fiction just a few years ago
is reality today.
So how do you create rules for a game
that's constantly changing?
We need regulations that are flexible enough
to allow for progress,
but also robust enough to address the risks.
That's a tough balance.
It is.
And then you've got the whole global aspect of this too.
AI doesn't respect borders.
What one country regulates might be developed
or deployed in another.
So we need international cooperation on this.
This isn't just about the US figuring this out.
This is about the entire world coming together.
Exactly.
And that's where things get even more complex, right?
Different countries have different values,
different priorities, different approaches.
So, you know, reaching a global consensus on AI
is gonna require a lot of diplomacy,
a lot of collaboration.
Yeah, it's a daunting task for sure.
But it feels essential if we actually wanna make sure
that this technology benefits everybody, you know,
that it's not just benefiting a select few
or one particular country.
Absolutely.
And it's not just about government regulation either.
Industry self-regulation is critical as well.
Okay, so you're talking about the companies themselves
taking some responsibility here.
Exactly.
We need these tech companies
to adopt ethical codes of conduct,
to prioritize transparency,
and to establish best practices.
So even if it's not legally required,
they're kind of holding themselves to a higher standard.
No. Precisely.
It's about going above and beyond
just following the letter of the law
and taking proactive steps to mitigate risks
and prioritize ethical considerations.
So we've got the government setting some boundaries,
we've got these companies kind of holding themselves
to a higher standard.
But what about education?
Where does that fit into all of this?
Education is absolutely vital.
We need to make sure that everybody,
not just the tech experts,
understands the basics of AI, how it works,
its potential impact, the ethical implications.
These are things that everybody should be aware of.
Because it's gonna impact all of us.
It is.
So this isn't just about, you know,
creating a generation of coders and AI developers.
It's about making sure that everyone's AI literate.
Exactly.
It's about empowering people to engage with this technology
in a meaningful way, not just be passive bystanders.
And that education, I'm assuming,
that needs to start early, right?
We should be teaching kids about AI in school
right alongside math and science.
Absolutely.
If we want future generations to be prepared
for an AI-driven world,
they need to understand this technology.
It's gonna shape their lives.
It's gonna be as fundamental as knowing
how to use a computer at this point.
I think so, absolutely.
And it's not just about the technical skills either, right?
It's about critical thinking.
We need to teach kids how to think critically
about the impact of AI, to question assumptions,
to really consider the ethical implications of its use.
To be informed citizens in an AI-driven world.
Exactly.
And that education needs to continue
throughout our lives, by the way.
You know, we're all gonna be lifelong learners here
if we wanna keep up with how quickly
this technology is advancing.
Think of it like, you know, learning a new language.
The world is changing.
And we need to learn the language of AI
if we wanna thrive.
I like that a lot.
And it goes back to that adaptability
that we were talking about earlier.
Exactly.
But it's not just about understanding how AI works.
It's also about having these conversations
about the values and ethics
that are gonna guide its development.
100%.
Technology is never neutral, right?
It always reflects the values of the people who create it
and the context in which it's used.
So we need to be asking ourselves some tough questions.
What are our values?
What kind of future do we wanna create?
And how can we make sure that AI aligns with those values?
Those are big questions, man.
Like, where do we even begin to like, un-tackle that?
It's a lot to grapple with,
but I think it's important to acknowledge
that AI has the potential to amplify existing inequalities
and even create new ones if we're not careful.
We've already seen examples of this, right?
AI systems that exhibit bias,
whether it's facial recognition software
that's less accurate for people of color,
or algorithms that perpetuate
gender stereotypes in hiring.
So it's not enough to just create AI
that's like, technically sophisticated.
No.
We need to make sure that it's also fair,
that it's equitable, that it aligns with our values.
Precisely, and that means being really intentional
about the data that we use to train these systems,
the design choices that we make,
and considering the potential consequences of our actions.
We need to build AI with inclusivity in mind,
considering its impact on everyone, not just a select few.
It's like, we have to bake in those values
from the very beginning.
Exactly, we can't just slap it on as an afterthought.
Right, it's gotta be foundational to the entire process.
That's 100%.
But we talk about all this,
and it feels like such a moving target, right?
How can we possibly stay ahead of the curve
when it comes to the ethics, the values, all of that,
when this technology is changing so rapidly?
It's a great question,
and honestly, it's an ongoing process.
We have to constantly be evaluating
and reevaluating our approach as the technology evolves,
and as our understanding of its impact deepens, right?
This isn't a one and done conversation.
It's a constant evolution.
Exactly, we have to be adaptable
and willing to change course when necessary.
So it's not about finding the perfect solution today.
No.
It's about kind of being willing to adapt
and to learn as we go.
Exactly, it's about the journey
as much as it is about the destination.
You know, hearing you talk about all this,
it really drives home the point
that we're not just along for the ride.
We're not just passengers on this train.
We actually have a say in where it goes.
We absolutely do,
and I think sometimes it's easy to get lost
in the hypothetical, right?
Right, like the what ifs.
Exactly, but let's bring it back down to earth for a minute.
Let's look at some real world examples
of how AI is already being used
to tackle some of the world's biggest challenges,
because we've focused a lot on the potential risks,
the what ifs, the dystopian scenarios,
but AI is being used for good in so many ways as well.
Right, and I think it's important
that we highlight those wins,
those success stories that really show us the power
of this technology,
that it doesn't have to be this scary thing.
It really can be used for good.
It really can, and I think it all comes back
to that human element, right?
We're the ones who ultimately decide
how this technology gets used.
We have the power to steer it
towards a better future for everyone.
So it's not about fearing the machines,
it's about harnessing their power for good.
Exactly, it's about making conscious choices,
about understanding the potential consequences
of our actions and striving to use
this incredible technology for the greater good.
It's challenging for sure,
but ultimately it's a hopeful endeavor.
It is hopeful.
So I guess, let's dive into those examples, shall we?
Let's see how AI is actually being used
in healthcare, in education,
even in tackling climate change
to make a real difference in the world.
Okay, so real world applications of AI for good,
and I think when a lot of people think about this,
the first thing that probably pops into their mind
is healthcare.
Yeah, healthcare is huge.
Yeah, so what are we talking about here?
What are some of the actual ways
that AI is being used to improve people's health?
So one area where AI is already making a huge difference
is in medical imaging.
Okay.
You know, your x-rays, CT scans, MRIs.
Right, everybody's had one.
Right, exactly.
So AI algorithms can now analyze these images
with incredible accuracy.
In fact, you know, they're often even better
than human radiologists at spotting
those really, really tiny details
that might signal a problem.
So it's almost like having a second set of eyes,
a second opinion, and a really highly trained one at that,
kind of helping those doctors make those diagnoses.
Exactly.
It's like having an AI assist,
and it's particularly important for diseases like cancer,
where catching it early can make all the difference.
Right, absolutely.
So AI is helping doctors detect these diseases earlier,
which means more effective treatments,
better chances for patients.
That's amazing.
But it goes beyond just reading images, right?
Oh yeah, absolutely.
It's being used to actually develop
brand new drugs and therapies,
and much faster than we've ever been able to before.
Wow.
So traditionally, you know, drug discovery,
it's a very long process, very expensive,
but AI is really changing the game here.
It can analyze these massive amounts of biological data,
you know, identify potential drug candidates,
even predict their effectiveness, their side effects.
So we're talking about not just treating diseases better,
but potentially like finding cures faster.
Exactly, and it's not just about, you know,
the drugs themselves.
AI is also being used to create
personalized treatment plans for patients.
Okay, so this is like really tailored
to the individual.
Exactly, it considers your unique genetic makeup,
your lifestyle, your medical history,
all of that to tailor the treatment
for maximum effectiveness.
It's like personalized medicine powered by AI.
Exactly.
That's wild.
It's really incredible,
and it has the potential to, you know,
really revolutionize how we approach healthcare as a whole.
That's amazing.
Okay, so healthcare, huge potential there.
What about education?
Because we've talked a lot about, you know,
this idea of lifelong learning in an AI driven world,
but you know, the reality is not everyone has access
to quality education.
So how can AI help kind of level that playing field?
Yeah, that's a great question.
And it's something that I'm really passionate about actually.
So one way that AI can help
is through these personalized learning platforms.
And these platforms use AI to actually adjust
to each student's individual learning style and pace.
So it's like having a tutor who just gets you.
Exactly.
And they know exactly how you learn best
and can tailor the material to your specific needs.
And this is particularly helpful, by the way,
for students who might struggle in traditional classrooms
or students with learning disabilities.
Right, where they might need that extra attention,
that extra help.
Exactly.
AI can give them that personalized attention
and support that they need to succeed.
That's fantastic.
Yeah.
But what about the students
who maybe don't even have access to a quality teacher
in the first place?
I'm thinking, you know,
maybe students in more remote areas,
underserved communities.
Yeah, and that's where AI powered educational resources
can really play a huge role.
Things like, you know, online tutoring platforms,
educational apps,
they can provide high quality learning materials
and support to students anywhere,
regardless of their location
or their socioeconomic background.
So really kind of breaking down those barriers.
Exactly.
It's about democratizing access to education.
I like that.
Yeah.
But you know, when we talk about AI in education,
it's not about replacing teachers.
No, not at all.
It's about empowering them.
Okay.
AI can help automate a lot of those,
you know, tedious administrative tasks,
which frees up teachers to do what they do best,
which is actually, you know, connect with their students.
Ten more time with the kids.
Exactly.
And it can help them develop more engaging,
more effective teaching methods, you know.
It's about using AI to enhance and support
the essential role that teachers play.
It's about making their jobs,
their lives a little bit easier,
and ultimately making education better for everyone.
Exactly.
Okay.
So we've talked about healthcare,
we've talked about education,
but we can't have this conversation
without talking about the big one, climate change.
Right, the elephant in the room.
Right, because we're facing this like massive global crisis,
and so can AI really make a difference here.
Is that even possible?
Yeah, you know, it might sound a little bit surprising,
but AI is already playing a significant role
in the fight against climate change.
Really?
Okay, yeah, for example,
it's being used to make renewable energy sources
like solar and wind power more efficient.
Okay.
Which is huge.
Right, because if we're gonna move away from fossil fuels,
we've gotta make those things make sense.
Exactly.
So AI can actually predict energy demand,
and it can adjust production accordingly,
which helps create this more reliable
and more cost-effective energy grid.
So it's not just about the technology itself,
it's about kind of optimizing how we use it.
Exactly, it's about making it smarter,
and it doesn't stop there.
AI is being used to monitor deforestation,
track endangered species,
even develop new materials
that can capture carbon from the atmosphere.
Wow, so really from every angle.
Yeah, from optimizing energy
to protecting our forests and oceans,
AI is really becoming a key tool
in the fight against climate change.
Which is, I mean, gives you a little bit of hope, right?
It does, you know, we're facing these, you know,
pretty daunting challenges as a species,
but the potential here, the potential of AI
to help us address these challenges, I think,
is undeniable.
And it all comes back to that point
that we keep coming back to,
which is it's not inherently good or bad.
It's a tool.
It's how we use it.
Exactly, and that's why these conversations,
this deep dive, this whole thing, it's so important.
You know, the future of AI,
this isn't some predetermined outcome,
it's something that we're all shaping
each and every day, you know.
It's a choice.
And that choice is made up of all the little decisions
that we make, the technologies that we use,
the conversations that we have.
Well said, and it's a future
that is absolutely worth fighting for.
It really is.
Yeah.
Well, on that note of cautious optimism,
I think that's gonna wrap up this deep dive into AI
and what it means for you.
And if there's one thing that we want you to take away
from this conversation,
is that the future isn't set in stone.
It's a journey, and we're all on it together.
So stay informed, stay engaged,
and most importantly, stay curious,
because the future of AI is up to all of us.
Yeah.