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Welcome back everyone.

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Today we're going deep on AI and all the hype.

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Yeah, it's everywhere you look, right?

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Seriously, everywhere.

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But we're gonna try to separate fact from fiction.

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Exactly, and we've got some awesome insights

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to help us do that.

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We're looking at work from Eric Siegel.

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Oh yeah, he's been around forever, right?

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Like decades in the AI world.

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Seriously, he's seen it all

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and he's not afraid to call out the BS.

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Which is what we need, honestly.

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Totally, because you know,

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you see these headlines about AI revolutionizing,

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well, everything.

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Like robots are about to take over.

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And generative AI, stuff like chat GPT,

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it's writing poems, coding,

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even having conversations like a person.

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It's wild.

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But Siegel's point is, hold on a sec,

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it's not a magic solution.

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Right, it can't just fix every business problem overnight.

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So that's impressive, but...

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There are limits.

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Siegel actually uses this word hallucinate

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to describe how generative AI

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sometimes just like makes things up.

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Whoa, hallucinate, that's intense.

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What's he getting at with that?

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It's not like, you know, seeing things,

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more like it's really good at manipulating language,

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predicting what word comes next.

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So it creates text that sounds real,

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but it doesn't actually get the meaning.

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Gotcha, so it's all style, no substance.

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That's a great way to put it.

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Siegel says this human-like output

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can be super misleading.

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Makes sense.

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I might use chat GPT to write an email,

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and it looks good,

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but I still gotta proofread carefully.

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Exactly, not exactly the robot revolution we were promised.

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Right, so big wow factor, but...

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We need to be careful about thinking

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it's the answer to everything.

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And this is where it gets really interesting.

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Okay, lay it on me.

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There's another side to AI.

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Siegel talks about predictive AI,

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and it's massive potential.

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Okay, so how is that different from, you know,

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the chat GPT stuff?

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Predictive AI is all about data,

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predicting future outcomes, not creating content.

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So less about writing poems, more about crunching numbers.

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Exactly, think customer behavior, market trends,

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stuff like that.

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And one of the coolest things is its autonomy.

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Autonomy, you mean like it can work on its own?

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Yeah, Siegel's a big fan of this idea.

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AI making decisions without us having

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to babysit it every step of the way.

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Okay, now that is interesting.

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Right, it's where things get really cool.

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So ready for a real world example.

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Hit me with it.

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Picture this, UPS, they've got a plan delivery routes

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for like millions of packages every day.

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Talk about a logistical nightmare.

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Seriously, but here's the kicker,

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they don't even know about all the packages

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until late at night.

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Wait, so they're planning routes

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without even knowing all the stops?

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It's crazy, right?

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Like planning a road trip with only half the detonations?

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So how do they even begin to do that?

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Predictive AI to the rescue.

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They use algorithms to forecast the next day's deliveries.

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So they're like guessing where packages need to go?

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Kind of, they use the data they have

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and historical delivery data to get a fuller picture.

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Filling in the gaps based on past patterns.

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Exactly, now sure, some predictions might be off a little.

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But it's better than flying blind, right?

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Way better, this system saves them

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a ton of time, fuel and money.

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Okay, that's impressive, but like,

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how much are we talking, is this small potatoes or?

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Oh no, this is huge.

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This system saves UPS an estimated $350 million annually.

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And on top of that.

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Wait, there's more.

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Big time, all those optimized routes,

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they also significantly cut down on their carbon footprint.

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No way, saving money and the planet.

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It's a win-win, pretty compelling argument

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for predictive AI, right?

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For sure, but is this just like a fluke

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or are there other areas where it's making a difference?

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Oh, it's everywhere, finance, healthcare, you name it.

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It's working behind the scenes, making things better.

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That's wild, all this cool stuff happening.

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And we're over here obsessing over chat, GPT.

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Right, but Cetil has a point,

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he's kind of sounding the alarm

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about this generative AI craze.

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Yeah, he even compares it to like a hype bubble,

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you know, like those times

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when everyone gets excited about something and then.

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It fizzles out, yeah, we've seen that before, lots of times.

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The dot-com bubble, the early days of the internet,

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all that. Exactly, so much hype,

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but the real potential takes time to emerge.

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So is he saying the same things can happen

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with generative AI, that it's not gonna live up to the hype?

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That's his worry, while it's amazing,

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he thinks we're getting ahead of ourselves.

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I get it, it's easy to get swept up

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in the sci-fi fantasy of it all.

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Machines that can create, think, almost be human.

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Totally, but Siegel's message is clear,

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temper your expectations, people,

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focus on the real world applications,

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not the robot overlords.

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Right, because at the end of the day, it's a tool,

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not a magic wand, and we need to use it wisely.

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Couldn't agree more, it is, it really is.

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And, you know, generative AI,

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it does have the potential to change things,

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but Siegel's point is, let's not go crazy just yet.

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Yeah, I mean, who hasn't seen those headlines?

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AI is gonna take all our jobs, the robots are coming.

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Right, total panic.

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But you know, we've been through these tech hype cycles

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before, remember when everyone thought VR was gonna be?

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Oh yeah, like everyone's gonna be living in virtual world.

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Exactly, and what happened?

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Not quite what we expected?

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Well, not yet, at least, but maybe AI is different.

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I mean, it's already doing some pretty amazing things.

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It is, but Siegel's argument is,

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we need to be smart about it.

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Don't just buy into the hype blindly,

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look at the practical stuff, you know?

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So what's he suggesting we do?

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Just ignore generative AI completely?

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No, not at all, it's more about being realistic, you know?

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Focus on the real problems it can solve.

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How can it actually make our lives better?

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That's the so what factor.

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The so what factor, I like that.

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Not just, wow, that's cool,

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but okay, what can we actually do with this?

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Exactly, and that's where predictive AI shines.

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It's already doing so much good,

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quietly working in the background.

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You were talking about all these real world examples,

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like in finance and healthcare.

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Yeah, think about it.

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Banks using AI to catch fraud before it happens.

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Doctors using it to personalize treatment plans.

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That's incredible, it's like having an invisible assistant

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helping us out.

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Exactly, and the crazy thing is,

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most people don't even realize it's happening.

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They probably just think,

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oh, my bank is getting really good at this,

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or my doctor's super smart.

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Right, they don't see all the complex algorithms

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and data analysis that's going on behind the scenes.

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It's like the unsung hero of the tech world,

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quietly making things better

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without all the flashy headlines.

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Exactly, and that's why Siegel's so patented about it.

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He wants people to understand the real potential of AI,

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not just the hype.

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It's about looking beyond the surface

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and seeing the bigger picture,

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the practical applications, the tangible benefits.

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Exactly, and that's where we need to focus our energy.

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How can we use AI to solve problems,

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to make the world a better place?

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So it's not about man versus machine,

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it's about man with machine.

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Exactly, it's about using these incredible tools

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to augment our abilities, not replace us.

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And who knows what amazing things we can accomplish

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when we work together.

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I mean, that's pretty inspiring, right?

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It is, it's about finding the right balance,

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embrace the potential of AI,

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but don't lose sight of our own humanity.

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Couldn't have said it better myself.

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So as we wrap up this deep dive into the world of AI,

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what's the key message you want our listeners to take away?

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It's simple, really.

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Stay informed, stay curious.

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AI is constantly evolving,

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and it's up to us to stay ahead of the curve.

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Don't be afraid to ask questions,

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challenge the hype,

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and always remember to look for the so what factor.

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What's the real impact?

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How is it making a difference?

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Those are the questions that matter.

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That's a great point to end on.

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Thanks for joining us on this deep dive

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into the world of AI.

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My pleasure.

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Until next time, keep exploring and stay curious

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about the amazing world of technology.

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So before we wrap up today,

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I want to leave you with something to think about.

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Oh, like what?

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Well, we've talked a lot about generative AI

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versus predictive AI, right?

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So now that you know the difference,

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I want you to kind of start paying attention

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to how AI is being used in your own life.

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Oh, I like that, like a little experiment.

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Exactly, see if you can spot it.

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I bet people would be surprised by how much predictive AI

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they encounter every day.

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Oh, totally.

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Think about those personalized recommendations

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you get online.

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Oh yeah, like on Spotify or Netflix, totally predictive AI.

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Yep, or even something like spam filters.

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Keeping our inboxes clean.

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Exactly, predictive AI, hard at work.

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It's everywhere.

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I bet even those traffic apps.

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Oh, for sure.

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Predictive AI is the backbone of those.

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Figuring out the best route, predict traffic jams.

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It's kind of mind blowing when you think about it.

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It is.

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All this complex tech working behind the scenes

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we don't even realize it.

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So yeah, the challenge is just to start noticing it.

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See if you can spot those AI power systems out in the wild.

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And then think back to what we talked about today.

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Is it generative or predictive?

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Is it living up to the hype or quietly making a difference?

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Those are the questions to ask.

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It's about understanding how this tech

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is shaping our world.

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And remember, this is just the beginning.

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AI is only going to get more sophisticated,

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more integrated into our lives.

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It's a wild ride, for sure.

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It is, but that's what we got to stay informed,

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stay curious, and keep learning.

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Absolutely, that's the key takeaway here.

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Well said.

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Thanks so much for joining us today on this deep dive

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into the world of AI.

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My pleasure.

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It was a great conversation.

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Until next time, keep exploring.

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And remember, the future is full of possibilities.