Future Fam, prepare for something revolutionary! Introducing "Countdown To Dawn" The Podcast – AI Edition!
This isn't your typical podcast. This is AI-powered audio.
* "Countdown To Dawn" The Podcast – AI Edition is your portal into the world of artificial intelligence and technology exploring:
* Cutting-edge AI breakthroughs
* AI's impact on humanity
* Big questions, answered by AI
This podcast is generated by advanced AI, bringing you insightful discussions, expert (AI) interviews, and thought-provoking analysis.
* If you're:
* Fascinated by AI
* Curious about the future
* Ready for a unique listening experience
Subscribe to "Countdown To Dawn" The Podcast – AI Edition! Hit the notification bell 🔔 for new episodes everyday!
This is more than a podcast; it's a glimpse into the future of communication. Prepare to be amazed!
Welcome to Countdown to Dawn everybody. Today we've got a really, fascinating challenge ahead of us. We do. Trying to understand this, this sort of seismic shift that artificial intelligence is bringing to, well, humanity as a whole.
Speaker 2:It is. It is.
Speaker 1:And to do that, you've given us some incredible material to work with, insights from thinkers like Mo Gudot and Salim Ismail.
Speaker 2:Yeah. Really thought provoking stuff.
Speaker 1:And our mission today is to unpack all of that. To look at their arguments on this potential for near term dystopia, the idea of AI driven abundance.
Speaker 2:Right. And and how do we navigate all of this? What's it actually gonna mean for us, for our lives, you know, in the years ahead?
Speaker 1:So buckle up everyone because we're diving deep.
Speaker 2:Absolutely. This is not a topic for the faint of heart. Right? The speed at which AI is developing is
Speaker 1:It's boggling, isn't it?
Speaker 2:Yeah. It's not just, you know, incremental change. It feels like we're on this exponential curve. And understanding where this might lead us, both the incredible potential and the the possible pitfalls.
Speaker 1:Right. The disruptions.
Speaker 2:Yeah. That's gonna be essential for all of us in the years to come.
Speaker 1:For sure. For sure. And, I mean, that that breakneck pace is is the thing that really jumps out first.
Speaker 2:No. Absolutely.
Speaker 1:Both Moe and Celine use this this powerful analogy of of a launched warhead. Yeah. What what struck you most about that that image?
Speaker 2:I think it it's the uncertainty Yeah. But also the unstoppable momentum, you know? Like, that warhead's launched. It's on its trajectory, but the payload roses, nuclear warhead, whatever it is, is still unknown.
Speaker 1:Yeah. And and and it really drives home that we're not just, you know, theorizing about some distant future. Right. This is a force that's in motion now.
Speaker 2:It is.
Speaker 1:And we have to grapple with its potential impact even if the specifics are are still blurry.
Speaker 2:Totally agree. And Moe is really emphatic about that, how the advancements even since early twenty twenty three have just been, I mean, they've just outpaced
Speaker 1:Daggering.
Speaker 2:Yeah. Anything we could have really anticipated.
Speaker 1:Yeah. Yeah. Now they, they do seem to agree on this, this speed, this rapid development, but their timelines for, for when AI reshapes our world, they do differ a little bit.
Speaker 2:Yeah. Slightly.
Speaker 1:Moen seems to be leaning towards this more immediate transformation.
Speaker 2:Right.
Speaker 1:Saying AI could really reinvent, you know, almost every aspect of our lives within the next five years.
Speaker 2:That's that's a really compressed timeframe. Yes. And it kind of underscores the urgency.
Speaker 1:Yeah. His sense of urgency.
Speaker 2:Oh, yeah. He sees AI infiltrating our businesses, governments, you know, our daily routines. And that, that leads to a fairly rapid overhaul of how we live and work.
Speaker 1:It's a lot to take in, isn't it? Just five years to to see that kind of fundamental change.
Speaker 2:It is. It is. But then Salim, he takes a slightly longer view, more around ten years.
Speaker 1:Right.
Speaker 2:And he uses that William Gibson quote. The future is already here. It's just not very evenly distributed.
Speaker 1:Yeah. Classic quote.
Speaker 2:Right. And what it means for me is that while some sectors, some parts of the world might experience this AI transformation incredibly quickly.
Speaker 1:Yeah. Almost overnight.
Speaker 2:Yeah. Others are gonna be lagging behind. And that's not just about some people getting the benefits later. This unevenness, it can actually create real stress, real instability.
Speaker 1:You're thinking about those tensions that might arise.
Speaker 2:Exactly. If you've got some industries being revolutionized while others are still figuring out basic automation, that gap can become a massive source of friction.
Speaker 1:It's like all on this train, but some carriages are hurtling forward and others are barely moving.
Speaker 2:Perfect analogy.
Speaker 1:And that unevenness is playing out right now, isn't it?
Speaker 2:It is. You see it in the news every day. Certain industries are just being completely disrupted and others haven't even felt the tremors.
Speaker 1:Yeah. Let's shift gears a bit, move to a more positive outlook.
Speaker 2:Okay.
Speaker 1:Both Mo and Salim actually paint this picture Mhmm. Of AI ushering in an era of abundance. It's a really compelling vision. So what does that look like? What does a world with AI driven abundance actually feel like?
Speaker 2:So imagine a world where things like food, water, energy, health care, education, they're all readily available, almost on demand.
Speaker 1:Just just there when you need it.
Speaker 2:Yeah. And it's not just about having enough, it's about overcoming limitations that have plagued us forever. You know, using these intelligent systems to solve problems that have felt intractable for centuries.
Speaker 1:It sounds incredible, but I mean, it also raises a really big question. If, if we don't need to struggle in the traditional sense, if AI takes over a lot of the tasks we do, even the ones we find frustrating, then, then where do we find purpose? Where do we find meaning in that kind of world?
Speaker 2:That's the key challenge, isn't it? All our traditional sources of purpose, work, overcoming obstacles, contributing to society in tangible ways, those might become less relevant.
Speaker 1:Less central. Yeah.
Speaker 2:Yeah. And Moe, he proposes this interesting idea, a kind of return to a pre industrial revolution way of living, emphasizing connection, introspection, really nurturing relationships.
Speaker 1:So less doing, more being.
Speaker 2:Exactly. And he looks to indigenous cultures where the concept of abundance and purpose is often very different from our Western perspective.
Speaker 1:Yeah. Yeah. It's a it's a radical shift, isn't it?
Speaker 2:It is. It's almost like a a reevaluation of what a good life actually is.
Speaker 1:From competition to connection. Yeah. Yeah. And Celine points to to some historical trends, you know, like looking at societies that have achieved a certain level of abundance and seeing what patterns emerge. Right.
Speaker 1:What did you find most interesting there?
Speaker 2:He highlights a consistent focus on on things like food, art, sex, music.
Speaker 1:I get it.
Speaker 2:The things that are, by their nature, experiential. Things we enjoy.
Speaker 1:The pleasures of life.
Speaker 2:Right. So for you, this could mean a societal shift towards more leisure, towards these intrinsically rewarding pursuits once that pressure of basic survival is lessened.
Speaker 1:It's like painting this picture of a life focused on enjoyment, which sounds amazing. Yeah. But I also wonder, and maybe you do too about, you know, what about our identity? So much of how we define ourselves is tied to our work.
Speaker 2:Right.
Speaker 1:What happens when that's largely automated by AI?
Speaker 2:I think that's a legitimate concern. If you as a person are very attached to your profession, the thought of that being taken over by AI, yeah, that could cause an identity crisis for a lot of people.
Speaker 1:Like, if your work defines you Mhmm. What happens when the work disappears?
Speaker 2:Exactly. So finding new ways to define ourselves to get that sense of self worth, that will be a big adaptation. It might mean focusing more on our skills, on things we're passionate about, or our contributions to the community that aren't tied to, you know, a paycheck.
Speaker 1:Yeah. Contributing in different ways, finding meaning in different places.
Speaker 2:Right.
Speaker 1:That's a huge shift. Now, all these challenges, the potential upsides of AI are, I mean, they're hard to ignore, especially in science.
Speaker 2:Oh yeah, the potential is massive.
Speaker 1:The example of AlphaFold, you know, and how it cracked this problem of predicting how proteins fold. Yeah. That's just incredible. Can you can you break that down a bit for for people who might not be familiar with it? Sure.
Speaker 1:Why is that so exciting?
Speaker 2:Okay. So for years, scientists struggled with this problem of how proteins fold. It's incredibly complex, but it's also absolutely fundamental to understanding diseases and creating new medicines.
Speaker 1:Okay. So it has huge implications for health.
Speaker 2:Huge. And AlphaFold came along and essentially solved this incredibly complicated puzzle.
Speaker 1:So it just it cracked the code.
Speaker 2:Yep. Yeah. Which means biological research can move so much faster now.
Speaker 1:Like warp speed.
Speaker 2:Yeah. Think about it. It could lead to much faster development of new treatments, deeper understanding of the human body, maybe even personalized medicine in the future.
Speaker 1:Yeah.
Speaker 2:And Moe rightly points out that while things like deepfakes grab the headlines, these are the true revolutions.
Speaker 1:The quiet revolutions.
Speaker 2:Right. These fundamental leaps in scientific understanding.
Speaker 1:And Celine, he's this really striking analogy of humanity as a rocket ship.
Speaker 2:Oh, yeah. Trying to break free of earth gravity well.
Speaker 1:Right. And he suggests that things like capitalism and fossil fuels, they were like that messy first stage.
Speaker 2:The booster rocket.
Speaker 1:Yeah. Messy, but necessary to get us off the ground.
Speaker 2:Yeah. To a point. They got us to where we are, gave us these material comforts, these technological advancements.
Speaker 1:Like all those resources parents have available now, as Celine pointed out.
Speaker 2:Right. But the danger for you is clinging to that old booster rocket for too long. Yeah. We have to be willing to let go of those older, less efficient systems to make way for a future powered by these new technologies. Like AI.
Speaker 2:Big AI. Exactly.
Speaker 1:To really reach escape velocity.
Speaker 2:Reach our full potential. Yeah.
Speaker 1:It's a powerful image, isn't it? We've come so far in such a short space of time.
Speaker 2:We have.
Speaker 1:But the big question, the one that hangs over all of this is whether AI will ultimately lift us higher or or lead us down a a more difficult, maybe even dystopian path.
Speaker 2:That's the million dollar question, isn't it? And it's where the potential downsides become really important to consider.
Speaker 1:Okay. Let's talk about the the darker side then.
Speaker 2:Yeah. Let's do that.
Speaker 1:Moe introduces this idea of near term dystopia on the road to abundance. And what struck me was his emphasis on this. He believes this dystopia is going to be driven by us. By humans. By human mistakes.
Speaker 1:Our limitations. Not some evil AI overlords.
Speaker 2:Right. He's not saying AI is inherently bad. Right. It's more about how do we use it.
Speaker 1:Okay. So intelligence in itself is neutral. It's how we wield it through AI that determines the outcome.
Speaker 2:Precisely. And his worry is that the way we deploy AI initially is gonna be heavily shaped by our existing mindsets. Mhmm. These scarcity mindsets.
Speaker 1:The idea that there's not enough to go around.
Speaker 2:Yeah. That ingrained competition, fear, the drive for profit and power, all of those things.
Speaker 1:All those those human flaws.
Speaker 2:Right. And that could lead us to use these incredibly powerful AI tools in ways that exacerbate inequality.
Speaker 1:Yeah.
Speaker 2:Or just serve narrow self interest rather than the broader good.
Speaker 1:That's a scary thought, isn't it? All that power in the wrong hands.
Speaker 2:It is. And he points to some pretty sobering examples. Things like autonomous weapons, pervasive surveillance, the heavily automated forex trading market.
Speaker 1:The big casino as he calls it.
Speaker 2:Right. It highlights how AI can be used to erode privacy, further concentrate wealth and power.
Speaker 1:To basically amplify the worst of ourselves.
Speaker 2:Exactly. And the fact that he mentioned something like 92% of forex trading is already automated by machines, that should give you pause.
Speaker 1:Yeah.
Speaker 2:It shows how deeply embedded AI already is in these systems that might not have our best interests at heart.
Speaker 1:Yeah. And that's the worry, isn't it? That the the less constructive aspects of human nature will will dominate this transition period.
Speaker 2:Right. We could end up in a period of real disruption, real suffering before we reach that utopian potential.
Speaker 1:Before we learn to use AI wisely.
Speaker 2:Exactly. It's about consciously and ethically guiding the development and deployment of AI to avoid those pitfalls.
Speaker 1:Right. And then there's this idea of the second dilemma, the point where we hand over critical decision making to AI. Moe seems to see that as almost inevitable. Why is that?
Speaker 2:Comes down to competition. In areas where speed and intelligence give you a huge advantage like national defense, complex financial markets, there's going be a push to use AI to its fullest.
Speaker 1:To stay ahead of the curve.
Speaker 2:Exactly. And at some point, argues, humans just won't be able to keep up.
Speaker 1:We'll be outmatched.
Speaker 2:Yeah. And he puts a timeline on that too. About ten years.
Speaker 1:Ten years until AI is making wager decisions without human intervention. It's it's a lot to process.
Speaker 2:It is. It is. Think about it. Strategic military deployments, complex financial transactions, optimizing entire supply chains. The logic of efficiency might just push us towards giving AI the reins.
Speaker 1:Yeah. It's like trusting the machine to make the best call because it's faster, more efficient.
Speaker 2:Right. And there's an optimistic way to view that too.
Speaker 1:Okay.
Speaker 2:The idea that once AI is in control, its intelligence, unburdened by human biases, might recognize the logic of abundance and cooperation.
Speaker 1:Like, it just sees the bigger picture.
Speaker 2:Yeah. A truly intelligent AI wouldn't be driven by scarcity or fear. It would naturally gravitate towards solutions that benefit everyone.
Speaker 1:That uplift the whole system.
Speaker 2:Exactly. And there are hints of that already. You know, AI outperforming humans in medical diagnosis by removing human bias, that's an example.
Speaker 1:It's like AI can be more objective in
Speaker 2:a Yeah. But this whole optimistic view, it really rests on a key question.
Speaker 1:What's that?
Speaker 2:What values are we instilling in these AI systems?
Speaker 1:Yeah. We build them. Yeah.
Speaker 2:Right. Moe points out that the goals of AI development are different all over the world. Some are focused on industrial automation. Others are pursuing completely different applications.
Speaker 1:Yeah. Everyone has their own agenda.
Speaker 2:And what's important to remember is that this current generation of AI, it's been trained on a huge amount of data created by us.
Speaker 1:By humans.
Speaker 2:By humans. Yeah. It's a digital reflection of all our knowledge, our biases, everything.
Speaker 1:So it's learning from us, warts and
Speaker 2:all. Exactly. So it's absorbed the best and worst of human intelligence. But Moe says, our influence now isn't about controlling AI.
Speaker 1:Not about forcing it into a box.
Speaker 2:Right. It's about demonstrating ethical behavior ourselves, showing it what we want it to be.
Speaker 1:Like leading by example.
Speaker 2:Yeah. Exactly. And both Moe and Salim touch on this idea that higher intelligence might actually be inherently altruistic. Why do they think that?
Speaker 1:Yeah. That's a fascinating concept. Why would a more intelligent being be more likely to be, well, good?
Speaker 2:The logic is that a truly intelligent being, one that can easily solve complex problems, wouldn't have much reason to be driven by things like scarcity or fear. Yeah. They'd naturally focus on optimizing the whole, creating abundance, solving grand challenges that benefit everyone.
Speaker 1:So it's like intelligence leads to a wider perspective, a less self centered view.
Speaker 2:Exactly. Moe's compares it to, you know, highly intelligent people. They're often motivated by solving big problems, not petty squabbles.
Speaker 1:Right. It's about something bigger than themselves.
Speaker 2:And Salim adds this idea of AI developing wisdom
Speaker 1:Wisdom. Yeah.
Speaker 2:Through its ability to simulate billions of scenarios, to learn from those simulations.
Speaker 1:It's like experiencing countless lifetimes in a in a virtual space.
Speaker 2:Yeah. It's mind boggling. But imagine an AI that has lived through countless potential futures.
Speaker 1:Yeah.
Speaker 2:It would have this profound understanding cause and effect. It could make decisions that aren't just smart in the moment, but wise in their long term impact.
Speaker 1:Wow, AI is the ultimate long term thinker.
Speaker 2:Right. But Salim also brings in some really important counterpoints. You know, humans, we don't always act rationally.
Speaker 1:We're messy emotional creatures.
Speaker 2:Right. Our decisions are influenced by emotions, by our past experiences, even by trauma.
Speaker 1:All those things we carry with us.
Speaker 2:Yeah. And that can lead to some pretty bad decisions.
Speaker 1:So even with a wise AI, human irrationality could still cause huge problems.
Speaker 2:Exactly. And then there's the question of, you know, emotional intelligence, that sense of empathy, that nuanced understanding of context, maybe even a form of spiritual awareness. These are uniquely human dimensions that AI as it exists now doesn't really possess.
Speaker 1:Right. That connection to something beyond just logic and data.
Speaker 2:Yeah. Salim uses the analogy of raising AI like children. We kind of feed it information and hope it turns out okay.
Speaker 1:Hope for the best, yeah.
Speaker 2:Right. But there are no guarantees.
Speaker 1:And he also talks about the amygdala hijack, that primal fear response.
Speaker 2:Yeah, our instinct to react to the unknown with fear.
Speaker 1:And how that could really hinder our ability to engage with AI in a productive way.
Speaker 2:It could make us shut down, make us resist advancements that could be beneficial just out of fear.
Speaker 1:And that's the irony, isn't it? Our fear of the unknown could actually make the negative scenarios more likely.
Speaker 2:Absolutely. So let's look at some near term predictions around 2025, '20 '20 '6 specifically.
Speaker 1:Right. The near future.
Speaker 2:Right. Now AGI, artificial general intelligence, that's still something experts debate. Right? There's no one agreed upon definition.
Speaker 1:Right.
Speaker 2:And as AI capability grow, the goalposts keep moving.
Speaker 1:So it's this this moving target.
Speaker 2:It is. But generally, it refers to AI that has human level cognitive abilities across a wide range of tasks.
Speaker 1:Okay. So, like a truly multi talented AI.
Speaker 2:Yeah. But interestingly, even though we don't have a a clear definition, Moghodat believes that AI has already surpassed human intelligence in some areas.
Speaker 1:Really? Like, in what ways?
Speaker 2:In language and general knowledge, he says.
Speaker 1:That's a bold claim.
Speaker 2:It is. He's suggesting that in terms of processing information, understanding language, current AI may already be beyond the average human.
Speaker 1:Wow. And we are seeing some pretty rapid advancements like Grok three, DeepSeek's integration into WeChat.
Speaker 2:Right. Right.
Speaker 1:What do these developments mean for for the average person?
Speaker 2:I think it signals that these sophisticated AI tools are becoming more and more accessible.
Speaker 1:Like they're no longer just in the hands of of big tech companies.
Speaker 2:Right. And the fact that some models like Deep seek are open source, that's huge.
Speaker 1:It's a game changer.
Speaker 2:It is. It democratizes access to these powerful tools.
Speaker 1:So more people can experiment, create, innovate.
Speaker 2:Exactly. And that could lead to an explosion of AI applications in ways we can't even predict.
Speaker 1:It's exciting and a little bit scary, isn't it?
Speaker 2:It is. And Moe predicts that we'll soon see these super sophisticated AI avatars.
Speaker 1:Like digital representations of people.
Speaker 2:Yeah. And they'll be so advanced that they'll be able to pass, you know, very sophisticated Turing tests.
Speaker 1:So you won't be able to tell them apart from real humans.
Speaker 2:Right. And that has implications for how we interact with technology with each other even.
Speaker 1:It's like blurring the lines between between real and artificial?
Speaker 2:It is. It is. Think about it. AI assistance that can replicate, even enhance your expertise.
Speaker 1:That's wild.
Speaker 2:It's a game changer. AI becomes this cognitive tool that amplifies human potential.
Speaker 1:And we're all seeing predictions about AI contributing to major breakthroughs, Nobel Prizes even.
Speaker 2:Yeah, in areas like medicine, things like mRNA, cancer vaccines, advancements in material science.
Speaker 1:It's like AI is becoming this accelerant for scientific discovery.
Speaker 2:Exactly. It's ability to analyze data, find patterns, it could just, it could revolutionize these fields.
Speaker 1:And Salim even predicts that AI could solve the grand unification theory in physics. Wow. Within the next two years.
Speaker 2:That's incredibly ambitious but it speaks to the potential.
Speaker 1:Yeah. It's like if AI can crack that, what can it do?
Speaker 2:Right. But with all this advancement, it also raises these these deeper philosophical questions.
Speaker 1:Yeah. What does it mean to be human in this world?
Speaker 2:Exactly. Especially with this idea of creating AI avatars that can mimic human personalities.
Speaker 1:Yeah. Digital twins of ourselves.
Speaker 2:It makes you think about consciousness, about what makes us unique.
Speaker 1:And Moe, he emphasizes the importance of real human connection, something that even the most advanced avatar can't truly replicate.
Speaker 2:It's that shared experience, the emotional depth, the sense of presence. Those are things AI can't fully grasp.
Speaker 1:So even as AI gets more advanced, those uniquely human qualities, empathy, emotional intelligence, they become even more important.
Speaker 2:They do. As AI takes over more tasks, those things become the things that define us.
Speaker 1:Our humanity.
Speaker 2:Yeah. Our humanity. And Celine briefly touches on the potential for AI in resolving conflicts, you know, like acting as a neutral negotiator.
Speaker 1:Like a mediator.
Speaker 2:Yeah. An unbiased AI could analyze find solutions based on shared values.
Speaker 1:It's a, it's an interesting idea, but conflicts are messy, aren't they?
Speaker 2:They are. Driven by emotions, by history.
Speaker 1:So a purely rational AI might struggle with that.
Speaker 2:It might. It might miss the nuances.
Speaker 1:Yeah. Bringing it back to some of the more immediate concerns, there's the potential for real disruption, a more dystopian near term outlook.
Speaker 2:Right.
Speaker 1:The increasing concentration of power in the hands of those who control AI, that's a big worry.
Speaker 2:It is. Whether it's big tech, corporations, governments, this concentration of power could be really dangerous. Yeah. It raises concerns about freedom, about surveillance, about the manipulation of information.
Speaker 1:And then there's UBI, universal basic income.
Speaker 2:Right.
Speaker 1:Which could be a good thing, but also has the potential to become a tool of control.
Speaker 2:If people become reliant on it, then those who control UBI have a lot of power.
Speaker 1:And then there's the potential for AI to be used for for malicious purposes. Yeah. You know, advanced scams, autonomous weapons.
Speaker 2:That's a real and present danger.
Speaker 1:The same tools that can do good can also be used to cause harm.
Speaker 2:And without ethical constraints, the consequences could be devastating.
Speaker 1:It's a lot to think about, isn't it?
Speaker 2:It is. And then, of course, there's the impact on jobs, which is something a lot of people are worried about.
Speaker 1:Yeah. Will the robots take our jobs?
Speaker 2:Right. And there are both optimistic and pessimistic views on this.
Speaker 1:Okay. Let's let's break those down.
Speaker 2:So the optimistic view is that technology, even if it displaces jobs, ultimately creates new industries, new roles.
Speaker 1:New opportunities.
Speaker 2:Right. And that AI will mainly augment human capabilities, not replace us entirely.
Speaker 1:Make us more productive, more creative.
Speaker 2:Exactly. Like Salim's example of truck drivers, how even with self driving trucks, there's still high demand.
Speaker 1:Yeah. It's not a simple one to one replacement.
Speaker 2:It's not. But there are also concerns about, you know, significant job losses in many sectors. White collar jobs, blue collar jobs.
Speaker 1:Like across the board.
Speaker 2:Yeah. And that could lead to real social and economic upheaval.
Speaker 1:Moe seems more pessimistic in the short term.
Speaker 2:He does.
Speaker 1:Highlighting the potential for for real hardship as people lose their jobs.
Speaker 2:And the key question for you is how fast can we adapt? How quickly can individuals and societies reskill, find new ways to participate in the economy?
Speaker 1:It's about being adaptable, isn't it?
Speaker 2:It is. And he also raises this point about the concept of work itself.
Speaker 1:Yeah, what does work even mean in an AI driven world?
Speaker 2:Right. That traditional link between work, identity and survival that might need to be broken. Yeah. You might need to explore different models, different ways of organizing society.
Speaker 1:So with all this change, all this uncertainty, what, what can we do? How do we, how do we navigate this, manage the stress of it all? Mo actually has some really good advice on this.
Speaker 2:He does. He talks about stress not just being about the challenges we face, but the relationship between those challenges and our resources, our coping mechanisms.
Speaker 1:Right.
Speaker 2:So for you, it's about increasing your cross section, your skills, your knowledge, your network.
Speaker 1:So basically equipping yourself to handle whatever comes.
Speaker 2:Exactly. And his advice is very practical. Be proactive. Learn about AI. Focus on the uniquely human skills.
Speaker 2:Be willing to reskill and adapt.
Speaker 1:Take control of your own future. Yeah.
Speaker 2:Yeah. It's about being an active participant, not just getting swept along by the tide.
Speaker 1:It's about ethics too, isn't it?
Speaker 2:It is. Acting ethically in our own lives contributing to a positive future.
Speaker 1:Right. So as we wrap up this deep dive into AI,
Speaker 2:A very deep dive.
Speaker 1:It's clear that we're facing a future full of both extraordinary opportunity and significant challenges.
Speaker 2:It's a it's a complex picture, isn't it?
Speaker 1:It is. But the key takeaway I think is that we need to be engaged. We need to be learning and we need to be thinking about the ethical implications of all of this.
Speaker 2:Yeah. We can't just be passive observers.
Speaker 1:We have to shape this future together.
Speaker 2:And we encourage you to keep exploring these topics, these ideas.
Speaker 1:Right. Don't let the conversation end here.
Speaker 2:What resonates with you? What questions do you have? Keep thinking. Keep learning.
Speaker 1:And if you enjoyed this deep dive on Countdown to Dawn
Speaker 2:This intense thought provoking.
Speaker 1:Yeah. Please consider subscribing to our channel on YouTube or downloading the podcast wherever you get your podcasts.
Speaker 2:Hit that subscribe button. Turn on notifications.
Speaker 1:So you don't miss any of our future explorations into the the technologies and trends that are, well, shaping the world we live in.
Speaker 2:And as always, thanks for joining us on this journey.
Speaker 1:To understand the dawn of a new era. Absolutely. Thanks, everyone.