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Welcome back everyone for another deep dive.

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Today we're looking at artificial intelligence.

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AI.

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Yeah, exactly.

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It's everywhere these days, huh?

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It really is, and it's evolving so quickly.

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Like crazy fast.

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It can be hard to keep up with all the new developments.

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No kidding.

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It feels like every day there's a new breakthrough

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or a new tool.

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You're not wrong, and that's part of what we're gonna

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dig into today.

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We are.

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We've got a ton of interesting stuff to unpack

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from recent tech news, company announcements,

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even some analysis of where things might be headed.

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We're really trying to cut through the hype

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and give you the rundown on what's really significant.

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Exactly, because it's easy to get swept up

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in all the excitement, but we wanna help you understand

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what these developments actually mean.

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What they mean for the industry.

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For the future.

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Yeah.

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So like, how is this technology gonna impact our lives?

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Mm-hmm.

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Yeah, exactly.

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So to kick things off, let's talk about Adobe.

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Adobe, okay.

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Yeah.

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Have you seen what they're doing with AI in their

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software like Premiere Pro?

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Oh yeah, their new AI-powered features are pretty amazing.

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It's mind-blowing, like that generative extend feature.

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Yeah, where it can extend your video clips.

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Yes, and it can generate matching visuals and audio.

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It's wild, right?

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Like you can just make a clip longer

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and it looks seamless.

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It's like magic.

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And it makes you think,

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what does this mean for filmmaking?

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Right, like could this lead to more independent filmmakers?

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Because now they have access to these tools

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that were previously.

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Too expensive or?

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Too complicated, yeah.

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And require like a whole team of editors.

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Exactly.

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And it's not just video editing either.

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No, Adobe's also doing really interesting things

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with AI and Photoshop.

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Like that new distraction removal tool,

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if you played with that one?

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Oh yeah, it's pretty slick.

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It's insane.

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You can just tell Photoshop to get rid of something

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in your photo.

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Like a pylon.

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A pylon, exactly.

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Or like a random person in the background.

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And it's gone just like that.

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Poof.

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The crazy part is it looks so natural.

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Right, like it doesn't even look edited.

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It's scary good, but in a good way.

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I don't know, it's both impressive

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and a little unnerving.

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I know what you mean.

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It's like, where does the line blur

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between human creativity and AI?

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And is it blurring or?

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Yeah, like is it enhancing our creativity

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or replacing it?

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Big questions.

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Huge questions.

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But it's definitely something to think about.

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It is.

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And speaking of big questions and things to think about,

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let's talk about Google for a second.

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Google, okay.

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This one's a bit out of left field,

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but they're making some interesting moves

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in the energy sector.

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Really?

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I haven't heard about this.

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Yeah.

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They're investing in nuclear power.

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Nuclear power, like the kind that powers our homes.

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What does that have to do with AI?

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I know, right?

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It seems totally unrelated,

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but it's all connected to the energy demands of AI.

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Okay, I'm listening.

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So these large language models

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that companies like Google are building.

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You mean like the ones that can generate text

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and have conversations?

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Exactly.

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They require an insane amount of energy to run.

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Like massive data centers full of servers.

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Exactly.

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And those servers need power, a lot of it.

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Okay, so what's Google's plan?

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Are they building their own nuclear power plants?

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Not quite, but they're partnering

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with a company called Kairos Power.

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Kairos Power, hmm, never heard of them.

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They specialize in these smaller,

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more flexible nuclear reactors called small modular reactors.

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Okay, and these are supposed to be safer and more efficient.

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That's the idea.

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And because they're smaller and more modular,

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they can be deployed more easily and in more locations.

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Interesting, so Google's betting on nuclear power

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to fuel the future of AI.

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It seems that way.

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And it highlights a really important point

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about the future of AI in general.

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What's that?

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It's not just about the algorithms and the software.

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Right.

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It's also about the hardware, the infrastructure,

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and the energy required to power it all.

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It's about the whole ecosystem.

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Exactly.

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And as AI continues to advance,

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those other pieces of the puzzle

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are gonna become even more important.

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You're right, it's something that often gets overlooked.

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But it's crucial.

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Now let's switch gears for a moment

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and talk about another tech giant, Apple.

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Apple, okay.

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What's their game plan with AI?

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It's been pretty quiet on that front, don't you think?

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Yeah, they've been pretty tight-lipped

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about their AI strategy.

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We've heard rumors about AI-powered smart classes.

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Yeah.

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But those have been circulating for ages.

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Right, still no concrete release date.

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So what's the deal? Are they falling behind in the AI race?

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It's hard to say.

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Apple's always been good

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at keeping their cards close to their chest.

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True, they're masters of secrecy.

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They could be biting their time,

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waiting for the right moment

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to unveil something groundbreaking.

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Like they did with the iPhone.

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Exactly.

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Remember all the hype and speculation before it launched?

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It was insane.

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Everyone's trying to figure out what Apple was up to.

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And then, bam, they dropped this revolutionary device

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that changes everything.

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Maybe they're doing the same thing with AI.

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It's possible.

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Or maybe they're taking a different approach altogether.

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Like what?

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Instead of chasing the latest trends

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and making a big splash,

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maybe they're focusing on seamlessly integrating AI

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into their existing ecosystem.

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So instead of creating a standalone AI product,

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they're weaving AI into the iPhones, the Macs,

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the Apple Watches we already use.

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Exactly. It would be a very Apple thing to do.

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It would be.

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Focus on user experience, make it just work.

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And they've already done this with things

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like Siri and FaceSide.

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True. Those are both AI-powered features

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that are now just a seamless part of using Apple products.

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Right. So it wouldn't be surprising

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if they took a similar approach

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with more advanced AI capabilities.

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It's going to be interesting to see how it all plays out.

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It really is. The AI landscape is changing so rapidly.

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Speaking of changing landscapes and fierce competition,

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let's talk about Microsoft for a sec.

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Microsoft, what's been going on with them?

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So they've been making a big push into AI.

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Yeah, they've been investing heavily

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in AI research and development.

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Right. And they've got their own large language model.

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Like a competitor to chat GTT.

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Exactly. But they recently lost one

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of their top AI researchers.

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Oh, really? To who?

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Open AI. Open AI. You're kidding.

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That's got a sting.

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Yeah, Sebastian Bubeck, he was a big deal at Microsoft.

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I bet. And now he's over at Open AI,

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working on their large language models.

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The ones that are like direct competition with Microsoft,

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it's kind of like he went to play for the rival team.

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Right. Talk about awkward.

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But seriously, though, what do you think this means for Microsoft?

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Does this mean they're out of the running in the AI race?

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I wouldn't go that far.

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They're still a massive company with a ton of resources.

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Sure. But it definitely highlights

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how competitive the AI talent pool is right now.

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Like everyone's trying to scoop up the best and the brightest.

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Exactly. And these companies know

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that having the right people can make or break their AI ambitions.

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All about the brains behind the algorithms, right?

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Exactly. It's like any other field,

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you need the top talent to drive innovation.

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That makes sense, but it also makes me think

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about the ethical side of all this.

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The ethics of AI, yeah, that's the big one.

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Because if AI is so powerful,

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and these companies are in such a rush to develop it,

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are we paying enough attention to the potential downsides?

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That's the million dollar question, isn't it?

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It really is.

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And it's something we need to be talking about more,

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like a lot more.

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Because it's not just about making AI that works,

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it's about making AI that's ethical.

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Right. And that's not always easy to define.

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No, it's complicated.

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And it's not like there's a simple answer

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or a one size fiss all solution.

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Exactly.

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It's going to require a lot of thought, a lot of discussion,

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and probably some trial and error along the way.

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So where do we even start?

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Right. What are the first steps

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in making sure AI is developed ethically?

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I think education is key.

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Like the more people understand about AI.

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How it works, the potential benefits, the risks.

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Exactly. The better equipped will be

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to make informed decisions about its development and use.

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So we need to demystify AI a bit.

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It is.

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And we need to be having these conversations

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at all levels of society.

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Not just in tech circles.

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Right. Because AI is going to impact everyone eventually.

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It already is impacting us.

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True. So we need to make sure everyone has a voice

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in shaping its future.

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And that includes thinking about regulation, right?

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Absolutely. We can't just rely on companies to self-regulate.

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Right. Because at the end of the day,

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they're driven by profit.

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Exactly.

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And that's not always going to align

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with what's best for society as a whole.

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So we need some kind of oversight, some rules of the road.

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Yes.

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But finding that balance between encouraging innovation

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and protecting the public is tricky.

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It's like walking a tightrope.

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It is.

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But it's a tightrope we have to walk

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because the stakes are too high to ignore.

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Couldn't agree more.

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But shifting gears a bit, I wanted to talk about something

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Adobe is doing that I find really interesting.

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OK. What's Adobe up to now?

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So they're incorporating something called content credentials

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into their AI-generated content.

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Content credentials. What are those?

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It's basically a way of labeling AI-generated content

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so people know where it came from.

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Like a digital watermark?

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Kind of.

275
00:08:58,880 --> 00:09:00,280
But it's more than just a watermark.

276
00:09:00,280 --> 00:09:02,200
It's like a little passport for the content.

277
00:09:02,200 --> 00:09:03,560
OK. And this passport tells you?

278
00:09:03,560 --> 00:09:06,160
It tells you things like, was this content created

279
00:09:06,160 --> 00:09:08,800
by a human or by AI?

280
00:09:08,800 --> 00:09:10,440
What tools were used to create it?

281
00:09:10,440 --> 00:09:11,520
Oh, that's actually pretty cool.

282
00:09:11,520 --> 00:09:13,720
So you know if you're looking at an image or a video?

283
00:09:13,720 --> 00:09:16,320
You know if it's the real deal or if it was made by a computer.

284
00:09:16,320 --> 00:09:19,120
Right. Because as AI gets better at generating

285
00:09:19,120 --> 00:09:20,360
realistic content.

286
00:09:20,360 --> 00:09:22,200
It's going to get harder and harder to tell the difference.

287
00:09:22,200 --> 00:09:22,880
Exactly.

288
00:09:22,880 --> 00:09:24,840
So having that transparency.

289
00:09:24,840 --> 00:09:26,080
That clear labeling.

290
00:09:26,080 --> 00:09:27,320
Is going to be crucial.

291
00:09:27,320 --> 00:09:29,960
Especially with things like deepfakes becoming more common.

292
00:09:29,960 --> 00:09:32,280
Oh, yeah. Deepfakes are a whole other can of worms.

293
00:09:32,280 --> 00:09:33,120
Right.

294
00:09:33,120 --> 00:09:36,320
Because if you can't trust what you see and hear.

295
00:09:36,320 --> 00:09:39,640
Then it really undermines our whole sense of reality.

296
00:09:39,640 --> 00:09:41,040
It's a bit scary when you think about it.

297
00:09:41,040 --> 00:09:41,600
It is.

298
00:09:41,600 --> 00:09:44,200
But that's why I think what Adobe is doing with content

299
00:09:44,200 --> 00:09:46,440
credentials is so important.

300
00:09:46,440 --> 00:09:47,840
It's a step in the right direction.

301
00:09:47,840 --> 00:09:48,280
It is.

302
00:09:48,280 --> 00:09:50,680
It's about giving people the information they need

303
00:09:50,680 --> 00:09:52,480
to make informed decisions.

304
00:09:52,480 --> 00:09:54,160
And to trust the content they're consuming.

305
00:09:54,160 --> 00:09:55,080
Exactly.

306
00:09:55,080 --> 00:09:57,840
Because in a world where AI is becoming more and more

307
00:09:57,840 --> 00:10:01,680
pervasive, trust is going to be more important than ever.

308
00:10:01,680 --> 00:10:02,720
Couldn't agree more.

309
00:10:02,720 --> 00:10:04,160
Yeah.

310
00:10:04,160 --> 00:10:08,400
OK, so switching gears again this time to the global stage.

311
00:10:08,400 --> 00:10:11,760
There's been some talk about the US potentially

312
00:10:11,760 --> 00:10:14,280
restricting exports of AI chips.

313
00:10:14,280 --> 00:10:17,000
Particularly to certain countries in the Persian Gulf.

314
00:10:17,000 --> 00:10:17,600
Oh, yeah.

315
00:10:17,600 --> 00:10:18,800
That's been in the news lately.

316
00:10:18,800 --> 00:10:20,120
It's a complicated issue.

317
00:10:20,120 --> 00:10:20,840
It is.

318
00:10:20,840 --> 00:10:23,120
So why is the US considering this?

319
00:10:23,120 --> 00:10:25,880
Basically, they're concerned about national security.

320
00:10:25,880 --> 00:10:28,120
They don't want these powerful AI chips falling

321
00:10:28,120 --> 00:10:29,320
into the wrong hands.

322
00:10:29,320 --> 00:10:32,680
Because AI chips are essentially the building blocks

323
00:10:32,680 --> 00:10:33,600
of advanced AI.

324
00:10:33,600 --> 00:10:34,320
Exactly.

325
00:10:34,320 --> 00:10:38,960
So whoever controls those chips has a leg up in the AI race.

326
00:10:38,960 --> 00:10:41,160
And the US wants to maintain its lead.

327
00:10:41,160 --> 00:10:44,200
Especially in a world where AI is becoming increasingly

328
00:10:44,200 --> 00:10:45,720
important for things like.

329
00:10:45,720 --> 00:10:48,840
Military applications, intelligence gathering,

330
00:10:48,840 --> 00:10:50,520
economic competitiveness.

331
00:10:50,520 --> 00:10:50,760
Right.

332
00:10:50,760 --> 00:10:52,760
It's not just about tech companies anymore.

333
00:10:52,760 --> 00:10:55,600
It's about national security and global power.

334
00:10:55,600 --> 00:10:58,240
And it's creating this whole new landscape

335
00:10:58,240 --> 00:10:59,920
of technological competition.

336
00:10:59,920 --> 00:11:01,840
Where the stakes are incredibly high.

337
00:11:01,840 --> 00:11:03,040
Exactly.

338
00:11:03,040 --> 00:11:05,320
And it brings us back to those ethical considerations

339
00:11:05,320 --> 00:11:06,600
we were discussing earlier.

340
00:11:06,600 --> 00:11:10,240
Because it's not just about who has the most powerful AI.

341
00:11:10,240 --> 00:11:12,680
It's about how that AI is used.

342
00:11:12,680 --> 00:11:14,240
And what values it's based on.

343
00:11:14,240 --> 00:11:14,920
Exactly.

344
00:11:14,920 --> 00:11:17,080
And those are questions we need to be asking ourselves

345
00:11:17,080 --> 00:11:18,520
on a global scale.

346
00:11:18,520 --> 00:11:20,920
Because the decisions we make about AI today

347
00:11:20,920 --> 00:11:22,920
are going to have far-reaching consequences.

348
00:11:22,920 --> 00:11:25,560
They will shape the future for better or for worse.

349
00:11:25,560 --> 00:11:26,760
It's a lot of responsibility.

350
00:11:26,760 --> 00:11:27,280
It is.

351
00:11:27,280 --> 00:11:29,240
But it's also an incredible opportunity.

352
00:11:29,240 --> 00:11:30,720
To use the technology for good.

353
00:11:30,720 --> 00:11:33,600
To solve some of the world's most pressing problems.

354
00:11:33,600 --> 00:11:35,360
And to create a better future for everyone.

355
00:11:35,360 --> 00:11:36,440
That's the goal, isn't it?

356
00:11:36,440 --> 00:11:37,160
It is.

357
00:11:37,160 --> 00:11:40,200
But speaking of incredible opportunities

358
00:11:40,200 --> 00:11:44,200
in the future of AI, we haven't even touched on NVIDIA yet.

359
00:11:44,200 --> 00:11:46,640
OK, so NVIDIA, what's their deal?

360
00:11:46,640 --> 00:11:49,120
You mentioned they're also making waves in the AI hardware

361
00:11:49,120 --> 00:11:49,880
space.

362
00:11:49,880 --> 00:11:50,360
Oh, yeah.

363
00:11:50,360 --> 00:11:53,320
NVIDIA is like the 800-pound gorilla in the room

364
00:11:53,320 --> 00:11:54,760
when it comes to AI chips.

365
00:11:54,760 --> 00:11:55,680
Really?

366
00:11:55,680 --> 00:11:56,360
That dominant.

367
00:11:56,360 --> 00:11:57,200
Pretty much.

368
00:11:57,200 --> 00:11:59,920
They control a huge chunk of the market for GPUs.

369
00:11:59,920 --> 00:12:00,840
GPUs, right.

370
00:12:00,840 --> 00:12:03,240
Those are the things that make video games look so realistic.

371
00:12:03,240 --> 00:12:04,120
Exactly.

372
00:12:04,120 --> 00:12:06,800
But it turns out those same chips are also really good

373
00:12:06,800 --> 00:12:08,600
at running AI algorithms.

374
00:12:08,600 --> 00:12:09,520
So how did that happen?

375
00:12:09,520 --> 00:12:10,880
Did NVIDIA just get lucky?

376
00:12:10,880 --> 00:12:12,160
Well, there's some luck involved.

377
00:12:12,160 --> 00:12:13,680
But they were also smart.

378
00:12:13,680 --> 00:12:17,200
They saw the potential of their technology for AI early on.

379
00:12:17,200 --> 00:12:18,040
And they went all in.

380
00:12:18,040 --> 00:12:20,680
Yeah, they invested heavily in developing GPUs,

381
00:12:20,680 --> 00:12:23,120
specifically for AI workloads.

382
00:12:23,120 --> 00:12:24,960
And now they're reaping the rewards.

383
00:12:24,960 --> 00:12:25,840
Big time.

384
00:12:25,840 --> 00:12:28,240
Companies like Google, Facebook, they all

385
00:12:28,240 --> 00:12:31,600
rely on NVIDIA's chips to power their AI systems.

386
00:12:31,600 --> 00:12:34,080
It's like they have a monopoly on the AI chip market.

387
00:12:34,080 --> 00:12:34,920
Almost.

388
00:12:34,920 --> 00:12:37,360
It's not quite a monopoly, but they're definitely

389
00:12:37,360 --> 00:12:38,720
the dominant player.

390
00:12:38,720 --> 00:12:39,320
Wow.

391
00:12:39,320 --> 00:12:40,960
That's pretty impressive.

392
00:12:40,960 --> 00:12:43,120
So what are they doing with all this power?

393
00:12:43,120 --> 00:12:45,200
Well, they're not slowing down anytime soon.

394
00:12:45,200 --> 00:12:48,600
They just announced their next generation of AI chips.

395
00:12:48,600 --> 00:12:49,800
Even more powerful.

396
00:12:49,800 --> 00:12:50,280
Oh, yeah.

397
00:12:50,280 --> 00:12:51,440
These things are beasts.

398
00:12:51,440 --> 00:12:53,440
Way faster, more efficient.

399
00:12:53,440 --> 00:12:55,960
They're going to blow everything else out of the water.

400
00:12:55,960 --> 00:12:58,640
So if NVIDIA is already dominating the market,

401
00:12:58,640 --> 00:13:01,520
what happens when these new chips come out?

402
00:13:01,520 --> 00:13:03,000
It's going to be interesting to see.

403
00:13:03,000 --> 00:13:06,320
They could potentially widen their lead even further.

404
00:13:06,320 --> 00:13:07,960
It's almost like they're writing their own ticket

405
00:13:07,960 --> 00:13:08,640
at this point.

406
00:13:08,640 --> 00:13:09,400
Pretty much.

407
00:13:09,400 --> 00:13:11,080
And it'll be interesting to see how they handle

408
00:13:11,080 --> 00:13:12,160
that responsibility.

409
00:13:12,160 --> 00:13:13,040
Responsibility.

410
00:13:13,040 --> 00:13:16,240
Yeah, because with great power comes great responsibility.

411
00:13:16,240 --> 00:13:16,560
Oh, right.

412
00:13:16,560 --> 00:13:17,320
Like Spider-Man.

413
00:13:17,320 --> 00:13:18,440
Exactly.

414
00:13:18,440 --> 00:13:21,280
NVIDIA has a huge influence on the development of AI.

415
00:13:21,280 --> 00:13:22,880
Because their chips are so crucial.

416
00:13:22,880 --> 00:13:23,720
Right.

417
00:13:23,720 --> 00:13:27,080
So they have a responsibility to make sure their technology is

418
00:13:27,080 --> 00:13:28,320
used ethically.

419
00:13:28,320 --> 00:13:29,320
That's a good point.

420
00:13:29,320 --> 00:13:31,600
It's not just about making the most powerful chips.

421
00:13:31,600 --> 00:13:34,400
It's about making sure those chips are used for good.

422
00:13:34,400 --> 00:13:36,040
For the benefit of humanity.

423
00:13:36,040 --> 00:13:36,920
Exactly.

424
00:13:36,920 --> 00:13:38,400
It's a big responsibility.

425
00:13:38,400 --> 00:13:41,080
And it's one that we need to hold them accountable for.

426
00:13:41,080 --> 00:13:42,360
Couldn't agree more.

427
00:13:42,360 --> 00:13:44,200
Well, I think we've covered a lot of ground today.

428
00:13:44,200 --> 00:13:45,960
We've barely scratched the surface.

429
00:13:45,960 --> 00:13:47,200
I know, right?

430
00:13:47,200 --> 00:13:50,360
AI is such a vast and rapidly evolving field.

431
00:13:50,360 --> 00:13:52,360
Every day, there's something new to learn.

432
00:13:52,360 --> 00:13:55,240
It's both exciting and a little bit overwhelming.

433
00:13:55,240 --> 00:13:56,520
Definitely.

434
00:13:56,520 --> 00:13:58,320
But that's what makes it so fascinating.

435
00:13:58,320 --> 00:13:59,280
It really does.

436
00:13:59,280 --> 00:14:02,120
It feels like we're on the cusp of something truly transformative.

437
00:14:02,120 --> 00:14:03,040
We are.

438
00:14:03,040 --> 00:14:06,840
And it's up to all of us to shape how this transformation unfolds.

439
00:14:06,840 --> 00:14:08,640
Make sure AI is used for good.

440
00:14:08,640 --> 00:14:09,960
To create a better future.

441
00:14:09,960 --> 00:14:10,960
Exactly.

442
00:14:10,960 --> 00:14:11,880
Well said.

443
00:14:11,880 --> 00:14:15,360
And on that note, I think it's time to wrap up this deep dive.

444
00:14:15,360 --> 00:14:16,240
Until next time.

445
00:14:16,240 --> 00:14:17,760
Thanks for joining us, everyone.

446
00:14:17,760 --> 00:14:20,400
And we'll see you next time for another deep dive

447
00:14:20,400 --> 00:14:22,560
into the world of tech.