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Welcome to the Daily AI News Podcast.

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We're gonna take a deep dive into all the AI news today.

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We've got news articles, company announcements,

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research snippets, the whole nine yards.

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It's amazing how much is happening in AI every single day.

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Right.

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Things are changing so fast.

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And speaking of fast moving, let's talk about open AI.

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Yeah, open AI.

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There's a lot of buzz around their next big model.

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Orion. Orion, right.

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December seems to be the target.

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At least for some companies,

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they're letting a few get early access.

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A little preview.

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Exactly, for product development, things like that.

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And get this, Microsoft engineers are getting ready

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to host it on Azure.

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On Azure, already.

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It could be as early as November, even.

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Wow.

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So it's really happening.

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It is, and there's no official name yet, but...

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Everyone's saying Orion, right?

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Yeah, Orion, it's likely the successor to GPT-4.

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And they're saying it could be a hundred times more powerful.

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A hundred times, really?

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What could you even do with that?

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The possibilities are kind of mind blowing

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when you think about it.

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But wait, there's more.

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Open AI wants to combine all their big models.

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All of them?

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To create an even more capable model,

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which might even lead to artificial general intelligence.

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AGI, that's like the ultimate goal, right?

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Exactly, a machine that thinks and learns like we do.

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But it's not all smooth sailing at open AI.

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What do you mean?

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Well, some important people have left recently.

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The CTO, Mir Merati,

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and the chief research officer, Bob McGrew.

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Ah, that's interesting.

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Any idea why they left?

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Well, there's talk that things aren't so great

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between open AI and Microsoft.

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Seems like open AI needs more resources.

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Like what kind of resources?

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Mostly computing power and server capacity,

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all that stuff to run these huge AI models.

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Yeah, I can imagine.

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Apparently it's putting a strain

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on their partnership with Microsoft.

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Oh, so they're not too happy about it.

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You could say that.

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Open AI actually renegotiated their deal

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to partner with Oracle.

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With Oracle? For what?

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To get even more servers.

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Seems like they need all the power they can get.

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But you have to wonder who's really in control here.

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Yeah, open AI or Microsoft.

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Right, Microsoft needs open AI's models for their products.

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Like for 365 Copilot, right?

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That makes them look pretty good in the AI game.

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Exactly, but if open AI reaches AGI first,

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then Microsoft could be left behind.

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It's a possibility.

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And it looks like both of them are taking it seriously.

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What do you mean?

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They've both hired investment banks to advise them.

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On what? On equity stakes.

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And governance rights.

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You know, open AI started as a nonprofit

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focused on ethical AI.

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What did I remember?

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And now they're a multi-billion dollar company

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that makes you think about their original mission, you know.

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That's a good point.

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It seems like things have changed a lot.

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They have.

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And on top of all that,

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they're competing more and more directly with each other.

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Open AI's GBC4O, the faster, cheaper model.

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That kind of hurts Microsoft's paid AI services on Azure.

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Ouch, so what's Microsoft doing about it?

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They're working on new APIs for things like search

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and speech recognition.

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All connected to GPT4.

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You got it.

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They might even launch them

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at their Ignite conference in November.

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So the battle continues.

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Absolutely.

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It's like an AI arms race.

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Open AI is really changing the game, definitely.

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And they're not the only ones.

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Oh, right.

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What else is going on?

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Clawed.AI, they're a competitor to open AI,

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and they just came out with a new analysis tool.

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For their Clawed model.

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Exactly.

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What can it do?

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Well, it can write and execute JavaScript code.

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Wait, the AI can actually code now?

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Yep.

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I don't even know what that means, really.

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What's that good for?

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Well, for one, it lets Clawed do some pretty complex math.

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Okay.

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It can analyze data in real time,

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and find insights that go beyond simple questions

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and answers.

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So it's not just giving you information,

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it's actually understanding it.

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Exactly.

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It uses its reasoning and its coding skills

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at the same time.

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Wow, that's pretty impressive.

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What else is happening?

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Well, Met has been busy, too.

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They've released what they call quantized versions

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of their Lama models.

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The Lama model.

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Yeah, their Lama 3.2, the 1B and 3B versions.

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I know what that means.

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It means they're smaller and faster,

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enough to work on mobile devices.

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Wait, so my phone could run a powerful AI?

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Potentially, yeah.

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And they've managed to do it

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without sacrificing quality or safety.

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That's amazing.

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How do they even do that?

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They used some pretty advanced techniques,

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like something called Quantization Aware Training

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and Spin-Hwant.

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I have no idea what that means,

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but it sounds impressive.

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It is.

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It means the models need less memory,

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they run faster, and they're easier to move around.

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And Met is not stopping.

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Right, they're working with partners to use NPUs.

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NPUs, what are those?

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Neural Processing Units, special hardware just for AI.

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So even more power and efficiency is coming.

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It looks like it.

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That's pretty wild.

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Okay, what else have we got?

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Well, Apple's up to something interesting.

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They're offering a pretty big reward.

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A reward, what for?

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Up to a million dollars, actually.

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A million dollars, what do you have to do to get that?

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Find vulnerabilities in their new private AI cloud service.

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What's it called?

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Private cloud compute.

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And they'll pay a million dollars if you can break into it.

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We'll find a serious vulnerability, yeah.

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Wow, they must be really confident about their security.

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They are.

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Crowd sourcing security testing.

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With a big incentive.

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So what is this private cloud compute anyway?

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Well, Apple says it's designed to extend the capabilities

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of their on-device AI.

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Which is?

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Apple Intelligence.

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You know, their on-device AI model.

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But they also emphasize that they want to keep

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user privacy a priority.

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So more power without compromising privacy.

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That's the idea, it's a tough balance.

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It is, I wonder how they'll pull it off.

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OK, so what else is going on in the world of AI?

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Well, remember Google and that whole antitrust case?

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Oh, yeah, right.

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The Justice Department said they had an illegal monopoly.

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Exactly.

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What's happening with that?

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Well, the Justice Department is saying that Google's using

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generative AI to stay in control.

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In control of what?

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Of search.

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They think Google is using AI to keep its dominance,

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even with the remedies they have to implement.

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So AI could actually be used to make a monopoly stronger?

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That's what they're arguing.

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And the judge seems to be taking it seriously.

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What's he going to do about it?

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He wants to look at more documents about AI,

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specifically about products like Google's overview AI

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function and their Gemini chatbot.

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So they're trying to show that these AI features are giving

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Google an unfair advantage.

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That's right.

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And they're using Google's own definition of AI.

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Their own definition, where did they get that from?

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From a subpoena they sent to Microsoft.

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Huh, interesting.

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So what does that definition say?

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Basically, it says any product that combines search engine

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technology and AI counts as AI.

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So they're really trying to understand how Google is using

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AI in search.

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Yeah.

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And whether it's hurting competition,

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this case could be a big deal for AI regulation in the future.

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This is definitely something to watch.

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But it's not all doom and gloom with AI.

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True.

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There's some pretty positive things happening too.

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Oh yeah.

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Like what?

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Well, there was a Google survey recently about developers.

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What kind of developers?

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Bofor developers and IT professionals.

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What did they find?

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More than 75% of them are using AI for their work.

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Really?

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That many?

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At least one task every day.

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What kind of tasks?

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All kinds of things.

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Writing code, fixing bugs, analyzing data,

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even automating some of their work.

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So they're using AI to help them get their work done.

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Makes sense.

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It does.

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And most of them said it was actually a good thing.

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Good in what way?

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It made them more productive, improved the quality of their work,

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and even made them feel better about their jobs.

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So AI is actually making work better for a lot of people.

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It seems that way.

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But there's a catch.

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That's that.

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Almost 40% of them don't really trust AI-generated code.

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So even though it helps them, they don't fully trust it.

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Not yet, anyway.

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Interesting.

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So what's the takeaway?

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Well, we have to be careful about how we use AI.

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We need strategies to make sure it's implemented properly.

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What kind of strategies?

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Focus on empowering employees.

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Get rid of those boring, repetitive tasks.

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Have clear guidelines for how to use AI,

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and be open about how it's affecting everyone.

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It's all about finding a balance between humans and AI.

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Exactly.

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So what else is going on in the world of AI?

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Well, the UK's Competition and Markets Authority, CMA,

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they're investigating Google again.

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What, the same watchdog that was looking at Microsoft

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and Activision?

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That's the one.

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This time, it's about Google's partnership with Anthropic.

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Anthropic.

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Remind me what they do again.

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They're an AI startup.

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They focus on AI safety and making sure it's reliable.

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OK, right.

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And what's the problem with their partnership?

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Well, Google invested a ton of money in them, billions,

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actually.

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The CMA is worried that it could be bad for competition.

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Other AI companies might not be able to keep up.

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So Google's getting too big, maybe.

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That's what they're trying to figure out.

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What does Google have to say about all this?

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They're saying that Anthropic is free to work

275
00:09:01,600 --> 00:09:04,520
with other companies, too, and that they don't demand

276
00:09:04,520 --> 00:09:07,120
any special rights to Anthropic's technology.

277
00:09:07,120 --> 00:09:09,400
It sounds like the CMA is really trying to keep things

278
00:09:09,400 --> 00:09:11,120
fair in the AI world.

279
00:09:11,120 --> 00:09:11,880
They are.

280
00:09:11,880 --> 00:09:12,720
It's a big deal.

281
00:09:12,720 --> 00:09:14,520
Governments are getting more and more involved

282
00:09:14,520 --> 00:09:16,480
with regulating AI.

283
00:09:16,480 --> 00:09:17,680
Makes sense.

284
00:09:17,680 --> 00:09:19,280
It's a powerful technology.

285
00:09:19,280 --> 00:09:21,880
It's going to affect everyone, so it's important to make sure

286
00:09:21,880 --> 00:09:23,400
it's used responsibly.

287
00:09:23,400 --> 00:09:24,520
Absolutely.

288
00:09:24,520 --> 00:09:26,520
And speaking of responsibility, we

289
00:09:26,520 --> 00:09:29,600
can't forget about the legal battles brewing between AI

290
00:09:29,600 --> 00:09:31,680
companies and traditional media.

291
00:09:31,680 --> 00:09:31,920
Right.

292
00:09:31,920 --> 00:09:33,160
There's a lot of tension there.

293
00:09:33,160 --> 00:09:36,440
Who owns the information that's used to train these AI systems?

294
00:09:36,440 --> 00:09:39,440
That's the million dollar question, literally.

295
00:09:39,440 --> 00:09:40,880
Because perplexity.

296
00:09:40,880 --> 00:09:43,400
Perplexity, the AI search startup.

297
00:09:43,400 --> 00:09:44,320
Yeah, that's the one.

298
00:09:44,320 --> 00:09:45,400
They're being sued.

299
00:09:45,400 --> 00:09:46,000
By who?

300
00:09:46,000 --> 00:09:48,040
Dow Jones and the New York Post.

301
00:09:48,040 --> 00:09:49,480
And they're both owned by?

302
00:09:49,480 --> 00:09:50,280
Newscore.

303
00:09:50,280 --> 00:09:52,760
Big players in the media world, so what's the problem?

304
00:09:52,760 --> 00:09:54,760
Copyright infringement.

305
00:09:54,760 --> 00:09:57,280
The publishers say perplexity used their content

306
00:09:57,280 --> 00:09:58,480
without permission.

307
00:09:58,480 --> 00:09:59,040
To do what?

308
00:09:59,040 --> 00:10:00,880
To build their search engine.

309
00:10:00,880 --> 00:10:04,200
So it's a classic case of old media versus new technology.

310
00:10:04,200 --> 00:10:05,240
You got it.

311
00:10:05,240 --> 00:10:07,480
The news organizations are protecting their content.

312
00:10:07,480 --> 00:10:10,280
And the AI companies say they need access to tons of data.

313
00:10:10,280 --> 00:10:11,400
Exactly.

314
00:10:11,400 --> 00:10:12,640
It's a tough situation.

315
00:10:12,640 --> 00:10:13,040
It is.

316
00:10:13,040 --> 00:10:16,360
It seems like we're going to see a lot more of these kinds of cases

317
00:10:16,360 --> 00:10:18,120
as AI gets more popular.

318
00:10:18,120 --> 00:10:19,080
Probably.

319
00:10:19,080 --> 00:10:20,240
But you know what else is interesting?

320
00:10:20,240 --> 00:10:25,000
How AI is being used to understand other species.

321
00:10:25,000 --> 00:10:27,000
Other species, like animals.

322
00:10:27,000 --> 00:10:27,920
Yeah.

323
00:10:27,920 --> 00:10:31,760
Researchers used AI to have a conversation with a whale.

324
00:10:31,760 --> 00:10:32,640
A whale?

325
00:10:32,640 --> 00:10:34,040
How is that even possible?

326
00:10:34,040 --> 00:10:36,000
It was a humpback whale named Twain.

327
00:10:36,000 --> 00:10:36,680
Twain?

328
00:10:36,680 --> 00:10:37,360
Like Mark Twain?

329
00:10:37,360 --> 00:10:38,480
Yeah, apparently.

330
00:10:38,480 --> 00:10:40,160
They were off the coast of Alaska.

331
00:10:40,160 --> 00:10:41,240
So what happened?

332
00:10:41,240 --> 00:10:43,800
This team, they call themselves Whale SETI.

333
00:10:43,800 --> 00:10:46,160
They played recordings of whale calls.

334
00:10:46,160 --> 00:10:47,320
Twain responded.

335
00:10:47,320 --> 00:10:49,520
They talked to a whale using AI.

336
00:10:49,520 --> 00:10:51,720
Well, they think it was intentional communication,

337
00:10:51,720 --> 00:10:52,960
like a conversation.

338
00:10:52,960 --> 00:10:53,720
That's amazing.

339
00:10:53,720 --> 00:10:55,840
So the AI is helping us to understand whales.

340
00:10:55,840 --> 00:10:56,960
Exactly.

341
00:10:56,960 --> 00:11:00,200
And maybe even other intelligent life out there, who knows.

342
00:11:00,200 --> 00:11:01,000
Wow.

343
00:11:01,000 --> 00:11:02,800
This AI stuff is really incredible.

344
00:11:02,800 --> 00:11:03,400
It is.

345
00:11:03,400 --> 00:11:05,360
And it reminds us that we need to protect

346
00:11:05,360 --> 00:11:07,880
these amazing creatures and their habitats.

347
00:11:07,880 --> 00:11:08,720
I agree.

348
00:11:08,720 --> 00:11:12,160
It's amazing how AI can help us connect with other species.

349
00:11:12,160 --> 00:11:13,760
So what else is going on?

350
00:11:13,760 --> 00:11:14,720
Well, how about this?

351
00:11:14,720 --> 00:11:16,600
Scientists have created an AI that

352
00:11:16,600 --> 00:11:18,720
can understand pig emotions.

353
00:11:18,720 --> 00:11:19,880
Wait, seriously?

354
00:11:19,880 --> 00:11:20,240
Yeah.

355
00:11:20,240 --> 00:11:22,280
Pig sounds like they're grunts and oinks.

356
00:11:22,280 --> 00:11:24,360
So it can tell if a pig is happy or sad.

357
00:11:24,360 --> 00:11:26,800
It can tell if they're feeling positive or negative.

358
00:11:26,800 --> 00:11:27,680
That's incredible.

359
00:11:27,680 --> 00:11:28,760
What's that good for?

360
00:11:28,760 --> 00:11:30,040
Well, think about it.

361
00:11:30,040 --> 00:11:32,080
Farmers could use it to understand

362
00:11:32,080 --> 00:11:33,560
how their pigs are feeling.

363
00:11:33,560 --> 00:11:36,320
That's a great idea to make sure they're being treated well.

364
00:11:36,320 --> 00:11:37,120
Exactly.

365
00:11:37,120 --> 00:11:39,720
They could create a better environment for the pigs,

366
00:11:39,720 --> 00:11:41,040
make them more comfortable.

367
00:11:41,040 --> 00:11:42,280
That's fantastic.

368
00:11:42,280 --> 00:11:44,480
I love that AI is being used to help animals.

369
00:11:44,480 --> 00:11:45,320
Me too.

370
00:11:45,320 --> 00:11:48,840
And it really shows how AI can be used for good.

371
00:11:48,840 --> 00:11:49,440
Absolutely.

372
00:11:49,440 --> 00:11:51,960
It really shows how AI can be used for good.

373
00:11:51,960 --> 00:11:53,480
And the research actually suggests

374
00:11:53,480 --> 00:11:55,840
that pigs are happier when they have more freedom.

375
00:11:55,840 --> 00:11:56,400
Really?

376
00:11:56,400 --> 00:11:58,760
Yeah, they looked at pigs in different environments.

377
00:11:58,760 --> 00:12:00,680
The ones in more natural settings,

378
00:12:00,680 --> 00:12:03,880
with room to move around, made fewer stress calls.

379
00:12:03,880 --> 00:12:06,560
So the AI could help farmers figure out the best way

380
00:12:06,560 --> 00:12:07,760
to raise pigs.

381
00:12:07,760 --> 00:12:08,800
Exactly.

382
00:12:08,800 --> 00:12:10,800
It's like giving the pigs a voice,

383
00:12:10,800 --> 00:12:14,760
maybe even an app that translates pig sounds into emotions.

384
00:12:14,760 --> 00:12:16,280
That would be amazing.

385
00:12:16,280 --> 00:12:18,600
So are we done talking about animals, or is there more?

386
00:12:18,600 --> 00:12:20,480
That's it for the animal news for now.

387
00:12:20,480 --> 00:12:23,200
But we were talking about governments and AI earlier.

388
00:12:23,200 --> 00:12:24,760
Right, about how they're trying to regulate it.

389
00:12:24,760 --> 00:12:25,640
Exactly.

390
00:12:25,640 --> 00:12:29,160
And it seems like the UK is really taking it seriously.

391
00:12:29,160 --> 00:12:30,280
The CMA, right?

392
00:12:30,280 --> 00:12:32,000
The Competition and Markets Authority.

393
00:12:32,000 --> 00:12:32,720
That's the one.

394
00:12:32,720 --> 00:12:35,200
They're all over this Microsoft Activision deal.

395
00:12:35,200 --> 00:12:38,120
Yeah, and now they're looking into Google's partnership

396
00:12:38,120 --> 00:12:39,240
with Anthropic.

397
00:12:39,240 --> 00:12:39,760
Right.

398
00:12:39,760 --> 00:12:42,200
They want to make sure that Google's not using its power

399
00:12:42,200 --> 00:12:43,760
to squash the competition.

400
00:12:43,760 --> 00:12:46,400
So they're trying to protect the smaller AI companies.

401
00:12:46,400 --> 00:12:47,160
In a way, yeah.

402
00:12:47,160 --> 00:12:48,880
They want a fair market for everyone.

403
00:12:48,880 --> 00:12:49,440
It's interesting.

404
00:12:49,440 --> 00:12:52,040
This whole balance between letting

405
00:12:52,040 --> 00:12:53,640
these big companies innovate.

406
00:12:53,640 --> 00:12:56,200
But also making sure they don't become too powerful.

407
00:12:56,200 --> 00:12:57,240
Exactly.

408
00:12:57,240 --> 00:12:58,800
It's a tough job for these regulators.

409
00:12:58,800 --> 00:12:59,640
It is.

410
00:12:59,640 --> 00:13:01,600
And speaking of tough situations.

411
00:13:01,600 --> 00:13:02,680
Oh, right.

412
00:13:02,680 --> 00:13:04,160
That lawsuit against perplexity.

413
00:13:04,160 --> 00:13:04,880
Yeah.

414
00:13:04,880 --> 00:13:06,840
It really highlights this conflict

415
00:13:06,840 --> 00:13:10,080
between AI and traditional media.

416
00:13:10,080 --> 00:13:11,840
Who gets to use the information?

417
00:13:11,840 --> 00:13:12,840
Who owns it?

418
00:13:12,840 --> 00:13:13,600
It's a mess.

419
00:13:13,600 --> 00:13:14,160
It is.

420
00:13:14,160 --> 00:13:16,000
With publishers want to protect their content,

421
00:13:16,000 --> 00:13:17,400
and understandably so.

422
00:13:17,400 --> 00:13:20,600
But the AI companies need data, lots of it,

423
00:13:20,600 --> 00:13:21,680
to train their system.

424
00:13:21,680 --> 00:13:22,240
Exactly.

425
00:13:22,240 --> 00:13:24,520
And it doesn't seem like there's an easy answer.

426
00:13:24,520 --> 00:13:26,440
It'll be interesting to see how this plays out.

427
00:13:26,440 --> 00:13:29,560
Not just for perplexity, but for the whole AI industry.

428
00:13:29,560 --> 00:13:30,960
Absolutely.

429
00:13:30,960 --> 00:13:33,440
Now remember that million-dollar reward

430
00:13:33,440 --> 00:13:34,760
Apple is offering.

431
00:13:34,760 --> 00:13:35,800
Yeah.

432
00:13:35,800 --> 00:13:37,320
I was wondering what that was all about.

433
00:13:37,320 --> 00:13:39,000
It sounds kind of mysterious.

434
00:13:39,000 --> 00:13:42,080
Well, it's not for solving some AI puzzle

435
00:13:42,080 --> 00:13:42,920
or anything like that.

436
00:13:42,920 --> 00:13:44,200
Oh.

437
00:13:44,200 --> 00:13:45,440
What is it for then?

438
00:13:45,440 --> 00:13:47,960
It's for finding security flaws.

439
00:13:47,960 --> 00:13:49,280
Security flaws?

440
00:13:49,280 --> 00:13:49,960
In what?

441
00:13:49,960 --> 00:13:54,040
Their new private AI cloud service.

442
00:13:54,040 --> 00:13:56,280
Private cloud compute, it's called.

443
00:13:56,280 --> 00:13:59,200
So if you can hack it, you get a million bucks.

444
00:13:59,200 --> 00:14:00,600
Well, not hack it exactly.

445
00:14:00,600 --> 00:14:03,280
More like find a serious vulnerability.

446
00:14:03,280 --> 00:14:03,720
OK.

447
00:14:03,720 --> 00:14:04,360
Same difference.

448
00:14:04,360 --> 00:14:05,880
But why are they doing that?

449
00:14:05,880 --> 00:14:08,880
Well, they're really emphasizing security with this service.

450
00:14:08,880 --> 00:14:11,000
I guess they want to make sure people feel safe using it.

451
00:14:11,000 --> 00:14:11,960
Exactly.

452
00:14:11,960 --> 00:14:14,000
Especially since it's all about expanding

453
00:14:14,000 --> 00:14:16,400
their on-device AI capabilities.

454
00:14:16,400 --> 00:14:16,720
Right.

455
00:14:16,720 --> 00:14:17,680
Apple intelligence.

456
00:14:17,680 --> 00:14:19,840
They want to make sure that user data stays private.

457
00:14:19,840 --> 00:14:20,680
That's good.

458
00:14:20,680 --> 00:14:22,000
Privacy is important.

459
00:14:22,000 --> 00:14:24,640
So what happens if someone actually finds a flaw?

460
00:14:24,640 --> 00:14:28,880
Well, they get paid anywhere from $150,000 to $1 million,

461
00:14:28,880 --> 00:14:30,320
depending on how serious it is.

462
00:14:30,320 --> 00:14:31,680
Wow.

463
00:14:31,680 --> 00:14:33,480
That's a pretty good incentive to find those bugs.

464
00:14:33,480 --> 00:14:33,880
It is.

465
00:14:33,880 --> 00:14:35,080
It's a smart move by Apple.

466
00:14:35,080 --> 00:14:36,680
It shows they're serious about security.

467
00:14:36,680 --> 00:14:38,680
And it gets people talking about their new service.

468
00:14:38,680 --> 00:14:39,200
Exactly.

469
00:14:39,200 --> 00:14:39,760
It's a win-win.

470
00:14:39,760 --> 00:14:43,640
But you know, all this talk about AI and companies and security.

471
00:14:43,640 --> 00:14:46,040
It's easy to forget about the people involved.

472
00:14:46,040 --> 00:14:48,600
The ones whose jobs might be affected by all this.

473
00:14:48,600 --> 00:14:49,880
That's a good point.

474
00:14:49,880 --> 00:14:52,720
There's a lot of fear about AI taking over jobs.

475
00:14:52,720 --> 00:14:53,960
And it's already happening, right?

476
00:14:53,960 --> 00:14:56,840
Factories, customer service, even writing.

477
00:14:56,840 --> 00:14:57,680
Yeah.

478
00:14:57,680 --> 00:15:00,680
But it's important to remember that AI is a tool.

479
00:15:00,680 --> 00:15:04,760
And like any tool, it depends how you use it.

480
00:15:04,760 --> 00:15:06,480
So you're saying it's not all doom and gloom.

481
00:15:06,480 --> 00:15:07,200
Not at all.

482
00:15:07,200 --> 00:15:10,520
AI can also create new opportunities.

483
00:15:10,520 --> 00:15:11,840
New jobs.

484
00:15:11,840 --> 00:15:12,440
In what?

485
00:15:12,440 --> 00:15:15,480
Well, we'll need people to design AI systems,

486
00:15:15,480 --> 00:15:17,680
to build them, to maintain them.

487
00:15:17,680 --> 00:15:19,600
And to make sure they're being used ethically.

488
00:15:19,600 --> 00:15:20,520
Absolutely.

489
00:15:20,520 --> 00:15:22,800
And there are also jobs that AI can't do.

490
00:15:22,800 --> 00:15:23,480
Like what?

491
00:15:23,480 --> 00:15:25,840
Jobs that require creativity, critical thinking,

492
00:15:25,840 --> 00:15:26,560
things like that.

493
00:15:26,560 --> 00:15:27,360
The human touch.

494
00:15:27,360 --> 00:15:27,880
Exactly.

495
00:15:27,880 --> 00:15:29,560
So it's not about AI replacing us.

496
00:15:29,560 --> 00:15:31,760
It's about AI working with us.

497
00:15:31,760 --> 00:15:33,360
But people still need to adapt, right?

498
00:15:33,360 --> 00:15:34,040
Absolutely.

499
00:15:34,040 --> 00:15:37,160
We have to learn new skills, keep up with the technology.

500
00:15:37,160 --> 00:15:39,400
It's like a whole new world of work is opening up.

501
00:15:39,400 --> 00:15:40,000
It is.

502
00:15:40,000 --> 00:15:42,120
And it's going to require us to be flexible,

503
00:15:42,120 --> 00:15:44,960
to be adaptable, to be lifelong learners.

504
00:15:44,960 --> 00:15:46,760
It's a challenge, but it's also exciting.

505
00:15:46,760 --> 00:15:48,240
I think so too.

506
00:15:48,240 --> 00:15:49,920
It's all about how we approach it.

507
00:15:49,920 --> 00:15:52,640
We can choose to see AI as a threat.

508
00:15:52,640 --> 00:15:53,680
Or as an opportunity.

509
00:15:53,680 --> 00:15:54,320
Exactly.

510
00:15:54,320 --> 00:15:57,560
We have the power to shape how AI is used.

511
00:15:57,560 --> 00:15:59,040
And to make sure it's used for good.

512
00:15:59,040 --> 00:16:00,320
That's the key.

513
00:16:00,320 --> 00:16:02,440
Now let's shift gears a bit and talk about,

514
00:16:02,440 --> 00:16:04,400
it's all about how we approach it.

515
00:16:04,400 --> 00:16:08,600
We can choose to see AI as a threat or as an opportunity.

516
00:16:08,600 --> 00:16:10,000
It's really up to us.

517
00:16:10,000 --> 00:16:10,720
That's a good point.

518
00:16:10,720 --> 00:16:13,640
We have the power to decide how AI is used.

519
00:16:13,640 --> 00:16:15,840
To make sure it's used ethically and responsibly.

520
00:16:15,840 --> 00:16:16,560
Exactly.

521
00:16:16,560 --> 00:16:19,480
And that brings us to one of the biggest challenges with AI.

522
00:16:19,480 --> 00:16:20,280
What's that?

523
00:16:20,280 --> 00:16:21,880
Bias.

524
00:16:21,880 --> 00:16:22,640
Right.

525
00:16:22,640 --> 00:16:24,120
We've seen examples of that already.

526
00:16:24,120 --> 00:16:26,000
Like facial recognition systems that

527
00:16:26,000 --> 00:16:28,520
are less accurate for certain groups of people.

528
00:16:28,520 --> 00:16:29,000
Yeah.

529
00:16:29,000 --> 00:16:30,800
And hiring algorithms that discriminate

530
00:16:30,800 --> 00:16:32,000
against certain candidates.

531
00:16:32,000 --> 00:16:34,360
Even loan approval systems that are biased.

532
00:16:34,360 --> 00:16:35,320
That's a serious problem.

533
00:16:35,320 --> 00:16:35,840
It is.

534
00:16:35,840 --> 00:16:39,480
We need to make sure that AI systems are fair and unbiased.

535
00:16:39,480 --> 00:16:40,520
So how do we do that?

536
00:16:40,520 --> 00:16:42,960
Well, for starters, we need more diversity

537
00:16:42,960 --> 00:16:44,880
in the people who are developing AI.

538
00:16:44,880 --> 00:16:45,680
More diversity.

539
00:16:45,680 --> 00:16:46,680
Yeah.

540
00:16:46,680 --> 00:16:48,200
People from different backgrounds, different cultures,

541
00:16:48,200 --> 00:16:49,320
different perspectives.

542
00:16:49,320 --> 00:16:52,400
So they can spot potential biases that others might miss.

543
00:16:52,400 --> 00:16:53,440
Exactly.

544
00:16:53,440 --> 00:16:56,400
And we also need to be careful about the data that's

545
00:16:56,400 --> 00:16:58,120
used to train AI systems.

546
00:16:58,120 --> 00:17:00,000
Because the data is biased.

547
00:17:00,000 --> 00:17:01,680
The AI will be biased too.

548
00:17:01,680 --> 00:17:03,800
It's like teaching a kid bad habits.

549
00:17:03,800 --> 00:17:05,560
So it's a multifaceted problem.

550
00:17:05,560 --> 00:17:06,440
It is.

551
00:17:06,440 --> 00:17:08,120
We need to be thinking about bias

552
00:17:08,120 --> 00:17:09,840
at every stage of AI development.

553
00:17:09,840 --> 00:17:12,960
From the data to the algorithms to the people

554
00:17:12,960 --> 00:17:13,800
who are building it.

555
00:17:13,800 --> 00:17:14,600
It's a big challenge.

556
00:17:14,600 --> 00:17:15,080
Yeah.

557
00:17:15,080 --> 00:17:18,160
But it's one that we have to address if we want AI

558
00:17:18,160 --> 00:17:19,440
to benefit everyone.

559
00:17:19,440 --> 00:17:20,120
Absolutely.

560
00:17:20,120 --> 00:17:22,720
We need open discussion and collaboration

561
00:17:22,720 --> 00:17:24,320
between everyone involved.

562
00:17:24,320 --> 00:17:27,440
Researchers, developers, policymakers, the public.

563
00:17:27,440 --> 00:17:28,440
It's a team effort.

564
00:17:28,440 --> 00:17:28,940
It is.

565
00:17:28,940 --> 00:17:30,160
We're all in this together.

566
00:17:30,160 --> 00:17:33,280
And we need to figure out how to use AI in a way that's

567
00:17:33,280 --> 00:17:36,560
fair, ethical, and beneficial to all of humanity.

568
00:17:36,560 --> 00:17:37,760
Well said.

569
00:17:37,760 --> 00:17:41,040
This has been an incredible deep dive into the world of AI.

570
00:17:41,040 --> 00:17:42,880
We've covered a lot of ground today.

571
00:17:42,880 --> 00:17:45,600
From whale conversations to pig emotions

572
00:17:45,600 --> 00:17:49,160
to million dollar bounties and antitrust lawsuits.

573
00:17:49,160 --> 00:17:51,600
It's amazing how much is happening in this field.

574
00:17:51,600 --> 00:17:54,640
Every day brings new breakthroughs, new challenges,

575
00:17:54,640 --> 00:17:56,080
new possibilities.

576
00:17:56,080 --> 00:17:59,200
It's an exciting time to be following AI.

577
00:17:59,200 --> 00:18:01,040
But it's also a time to be cautious,

578
00:18:01,040 --> 00:18:03,280
to be thoughtful, to ask the tough questions.

579
00:18:03,280 --> 00:18:03,960
Absolutely.

580
00:18:03,960 --> 00:18:05,640
AI is a powerful tool.

581
00:18:05,640 --> 00:18:08,520
And like any powerful tool, it can be used for good or for bad.

582
00:18:08,520 --> 00:18:11,120
It's up to us to make sure it's used for good.

583
00:18:11,120 --> 00:18:14,240
To shape the future of AI in a way that benefits everyone.

584
00:18:14,240 --> 00:18:15,080
Exactly.

585
00:18:15,080 --> 00:18:18,280
So stay informed, stay engaged, and keep

586
00:18:18,280 --> 00:18:19,600
those conversations going.

587
00:18:19,600 --> 00:18:21,480
The AI revolution is just beginning.

588
00:18:21,480 --> 00:18:23,720
And we'll be here to cover it every step of the way.

589
00:18:23,720 --> 00:18:26,000
Thanks for listening to the Daily AI News Podcast.

590
00:18:26,000 --> 00:18:42,040
And stay tuned for more.

