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Welcome to the AI Chat Podcast. I'm your host,

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Jaden Schaefer. Every day I cover cutting -edge

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AI news and talk with the leaders behind it,

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breaking down what it means for your life and

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business. OpenAI's first influencer likes you

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retreat has drawn a whole bunch of backlash online.

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Alibaba has just released Quen 3 .8 Max. This

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is a 2 .4 trillion parameter model that they

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say is rivaling Claude. Visa has just acquired

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a behavioral biometrics company called BioCatch

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for $2 .4 billion. I'm going to talk about why

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this is wild in the age of AI and how this is

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going to be used. Reddit CEO right now is throwing

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a little bit of shade at the Google AI. Overviews

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and the shares of Reddit are falling 20%, even

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though it seems like the company is making more

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money than ever. Apple's Tim Cook is floating

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iCloud Plus, a paywall for the heaviest Siri

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AI users. And Anthropic says that Claude's model

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breached three companies during cybersecurity

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tests, kind of like what OpenAI was saying when

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they, you know, had their model go and breach

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Hugging Faces. Anthropic is coming along and

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saying, look, we are, you know, they're not the

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only ones. Me too. We also have a dangerous model

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that can. escape a sandbox and hack the world.

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Let's get into it today. The first thing I want

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to mention is that the AI Box MCP, that's my

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very own startup. It's a little plugin that gives

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Claude and other AI models access to all the

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top models. So you get OpenAI, you get Grok,

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you get 11 Labs, you get Google VO3 and Gemini,

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you get all that inside of Grok or inside of

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Claude or inside of... chat GPT and vice versa.

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The cool thing about the MCP with AI box is that

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Claude can now generate images, audio and video.

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This is by far our most popular feature. We have

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hit all sorts of revenue metrics and milestones

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and records because of it. And if you haven't

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tried it out already, I would love for you to

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try it. I personally use it every day. It is

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incredible basically. And it's like, I know it's

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my product, so I'm just like pitching here, but

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I'll just tell you one thing that I recently

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used it for. That was amazing. And I'll get on

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with it. But, um, I was recently going and making

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Facebook ads for AI Box. And one of the problems

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is that Claude doesn't generate images, right?

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So I had a framework of a Facebook ad that I

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wanted. I screenshot it off of somebody else.

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And I said, look, build a frame of this Facebook

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ad. And it kind of had like titles and some descriptions

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and some like content. And so it built a rough

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draft for it. But the actual image on that Facebook

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ad, I needed to put something in. And I wanted

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to A -B test a whole bunch of different ones.

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So I said, use the AI Box MCP and spin up 20

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different variations, 20 different images we

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could swap into this ad. It was able to do that.

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I ran the ad set. And it turns out that one of

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those 20 for some reason, I just had a way higher

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conversion rate on the ad. And actually 50 %

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of our ad spend went on to that one single ad.

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So I mean, when it comes to any sort of projects

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where you have to test a whole bunch of variations,

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it's really cool to be able to get all of those

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variations made instantly when I got AI box to

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when Claude used AI box to generate all of the

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images. It wasn't something that you know, it

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was sitting there and doing them one at a time

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like if I was on if I was on chat GPT trying

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to generate those images might myself, I would

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have been, you know, going slowly, it's super

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slow, you do them in a handful at a time or one

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at a time, it's able to just do them all in parallel,

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zap, get it all done. It's all in there. It's

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ready to rock and roll. It was an amazing experience.

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So if you want to check it out, it is AI box

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.ai. There's a link in the description to check

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out our MCP. And yeah, I think you will genuinely

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love it. You can get it for $8 .99 a month starting

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and you get over 80 different AI models. So audio

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image video, it's all in there. OpenAI's first

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influencer luxury retreat is making a bunch of

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people online upset. OpenAI basically flew in

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a bunch of creators. There was this kind of luxury

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upstate New York resort, and it was their first

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influencer event. They called it Summer Club.

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And they had a bunch of fancy events and activities.

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They had beekeeping. They had a bunch of dinners.

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They had ChatGPT work tutorials, which, I mean,

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I think that's a no -brainer. Obviously, they'd

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be doing software tutorials. That's what I'd

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expect. But the trip had a bunch of backlash

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online. because all of the commenters said that

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there was $5 ,000 a night suites. And, you know,

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it was supposed to be kind of like this wellness

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retreat. But OpenAI is, you know, obviously pushing

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a $500 billion data center deal right now. And

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so not everyone was, you know, a lot of people

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that are anti kind of data centers didn't like

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this. And it feels like, you know, they're like,

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look, they're just bribing all the influencers

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to go along with what they got going on. OpenAI

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actually hired Charles Porsche, which was formerly

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Instagram's VP of partner. And this was just

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in February this year that they did that. And

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their goal with him, they're like, look, like

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we want you to lead the creator strategy. So

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Summer Club is kind of his first big campaign

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that he's done since he took that role. The funny

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thing to me is that Anthropic and Microsoft have

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both run similar kind of creator trips. And this

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isn't anything new. It's not like Microsoft,

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Anthropic and OpenAI are inventing this. There's

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a lot of companies that do these types of things.

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And when Anthropic and Microsoft did it, like

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they had like a Super Bowl event in February.

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But with them, there was no backlash. lot of

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people are saying perhaps the the reason that

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there's a lot of backlash is just because of

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opening eyes kind of scale um and you know there's

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just the biggest company or maybe people are

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just realizing it now but for whatever reason

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opening eye is getting a lot of pushback on that

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Alibaba has just released a new model called

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Quen 3 .8 Max. This is a 2 .4 trillion parameter

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AI model that just came out today. And it basically

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ranks second only to Anthropix Cloud Fable 5

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on most of the public leaderboards. Right now,

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they are releasing the model's weights next week.

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They're going to make it freely downloadable

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and modifiable by developers worldwide. So again,

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it's not technically like an open source model,

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but it's an open weight model, meaning they let

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you download the model. They give you the weights.

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run this thing on your own device, but they don't

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tell you like exactly how they built it. So you

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can't recreate it. And there's some other like

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limitations in there. But honestly, I have a

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huge kudo to a lot of these AI companies coming

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out of China for doing this. I know there's a

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lot of controversy. Moonshot AI's Kimi K3 released

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last week. It was a 2 .8 trillion parameter model.

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It was bigger than Quen 3 .8, but Quen 3 .8 is

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higher on the benchmarks. And by the way, like

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Quen is a model that's been around for a long

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time. actually a pretty impressive one. Alibaba

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obviously is like China's Amazon. So they have

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a lot of money, a lot of talent backing them.

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And Quinn has been one of those those big models.

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If you want to try out Quinn, by the way, if

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you haven't tried it yet, I'd recommend go get

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an account for $8 .99 on AI box, we have a Quinn

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along with you know, 80 other different AI models

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that you can test out. One thing that I'll say

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is right now Alibaba is kind of returning to

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an open weight distribution because last year

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they did it was sort of a pivot. And even earlier

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this year, they were doing this where they were

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making just proprietary only. But now I think

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Moonshot came out, ByteDance came out, Minimax

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came out and making these kind of, you know,

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basically anyone could go download and modify

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these models, quote unquote, open weight. And

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it seems like they're following in that path.

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It seems like the best path for a lot of these

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Chinese models where they're going to kind of

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get. a lot of positive press. And at the end

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of the day, they can put kind of enterprise tier

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or more advanced tiers of these models on their

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own cloud so you can use them. And I think their

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goal is just to get as many users trying them,

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falling in love with them. Maybe they're faster,

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maybe they're more cost efficient. And then they're

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hoping that maybe you'll go pay them for them

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later. And the other thing that's really important

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right now with these models, because I know a

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lot of people ask, like, why are the Chinese

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models making these things open weight? Like,

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why aren't they just doing what, you know, the

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American companies are doing? And obviously,

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There's some geopolitical issues where if they

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were just charging what Anthropic is charging,

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no one's going to pay for it. So they want to

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get it out. But another side of this that I think

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not a lot of people talk about is the fact that

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you want infrastructure and tools and developers

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to be building with your AI model. Because if

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all of the developers are like, look, maybe it's

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not going to be like this forever. But right

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now, Quen is the perhaps fastest and cheapest

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way to run AI. So it saves people a lot of money.

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A lot of developers will build tools on top of

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that. A lot of tools on top of their infrastructure.

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infrastructure, and help them actually grow kind

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of their distribution. And so I think that's

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what they're trying to they're trying to get

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out with all of this is to get the infrastructure

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and the developers and kind of win them over

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because that's how you can make some cool products

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on top of it. And maybe they'll go completely

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closed source in the future, like all of the

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American companies. I mean, let's be fair, that's

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kind of what opening I did anyways, as well at

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the beginning. So it seems like this is the same

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strategy being rolled out of Beijing and most

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of these other Chinese companies. Visa has just

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acquired a behavioral biometric firm called bio

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catch, they acquired it for $2 .5 billion in

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cash. This is a massive deal. So what exactly

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does bio catch do? It's an Israeli security firm.

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And it basically spots fraud by watching how

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you type, swipe and hold your phone, which is,

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I mean, kind of crazy, a little bit creepy to

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me, because they can obviously they're like,

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look, but we're catching like fraud, but You

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know, they can catch a lot of things. This type

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of technology, I think, was became like a little

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bit more known when with something like chat

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GPT. I remember some earlier reports saying,

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like, if I just watch what you type into chat

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GPT and the reason I say this or like into anything

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could could be anything. But chat GPT can easily

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do this. If I watch what you type and how you

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type and you paste, let's say someone sends you

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an email, but it's just or like a voice to text

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or something and you got it transcribed and pasted

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it into chat GPT. You could say, what is this

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person's gender, age? ethnicity. And oftentimes,

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the AI model can give you a ton of data about

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that person just based off of a transcript, a

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text, an email. I mean, assuming nowadays, all

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emails are like rewritten by AI. So maybe that's

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like a reason to, to use the the polish my email

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with AI, then they can't actually get your like

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bio data, unless it's the company that's an AI

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company that's doing that. Now, for a company

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like Visa, that obviously is all about catching

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fraud. I'm you know, this is this makes sense.

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As far as an acquisition, I'm not too worried

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about These I mean, they already have all my

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transaction data. So and all my like finance

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stuff. So I'm not too worried about what other

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data they're going to get on me that they basically

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have everything. They got my credit score and

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they know everything. So I'm not too concerned

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about them knowing my age and gender. But what

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I will say is it is interesting to know that

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these types of security firms exist. They're

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out there. And yeah, you can tell a lot about

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a person just like so an anonymous person posting

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on X, right? An anonymous account. You can take

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their post on X, put it into chat. and get a

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pretty good user demograph of what this type

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of person is like. And a lot of companies will

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use this for marketing and for retargeting. So

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it's definitely something that is... becoming

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more and more popular today. Now, BioCatch in

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particular, their goal is to detect authorized

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push payment fraud, where victims are basically

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logging in correctly, but then they're transferring

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money on a scammer's instruction, right? So like

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the scammer's like, hey, I need you to go buy

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me all the Visa gift cards and send them to me

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in the mail. And that's what it's trying to catch.

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The technology basically reads physical signals

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like keystroke. timing, tap pressure, and scroll

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speed. Those are how they're actually deciding

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if it's a criminal, if it's someone that's being

00:11:19.279 --> 00:11:22.259
coached by a criminal. So, I mean, it's interesting

00:11:22.259 --> 00:11:25.159
because this isn't intrinsically bad, and this

00:11:25.159 --> 00:11:26.960
is actually probably good, right, what BioCatch

00:11:26.960 --> 00:11:29.440
is doing, but the fact that BioCatch can determine

00:11:29.440 --> 00:11:31.379
this kind of stuff, to me, I'm just like, people

00:11:31.379 --> 00:11:34.059
should be aware that we're able to tell by how

00:11:34.059 --> 00:11:37.460
fast you scroll, by how hard you tap, by your

00:11:37.460 --> 00:11:40.179
keystroke timing, we're able to tell who's in

00:11:40.179 --> 00:11:42.539
control. the device. That to me is pretty crazy.

00:11:42.580 --> 00:11:45.960
It's kind of like when there's kind of the videos

00:11:45.960 --> 00:11:48.120
that you may or may not have seen, but basically

00:11:48.120 --> 00:11:51.700
your Wi -Fi. um sends out certain signals and

00:11:51.700 --> 00:11:54.259
you can you can basically get like a 3d map of

00:11:54.259 --> 00:11:56.879
who's inside of a house if you get access to

00:11:56.879 --> 00:11:59.500
their wi -fi router because like a human body

00:11:59.500 --> 00:12:02.019
for example the wi -fi signals go through them

00:12:02.019 --> 00:12:04.080
at a different frequency of walls and all these

00:12:04.080 --> 00:12:05.820
different steps so like you can you basically

00:12:05.820 --> 00:12:08.120
get like a 3d map of someone walking around their

00:12:08.120 --> 00:12:10.720
house if you can um if you can hack into their

00:12:10.720 --> 00:12:14.299
wi -fi router which reddit ceo is publicly questioning

00:12:14.299 --> 00:12:17.080
whether google's ai Overview feature is worth

00:12:17.080 --> 00:12:19.659
the money. He says that the automated search

00:12:19.659 --> 00:12:21.940
summaries haven't delivered any real value to

00:12:21.940 --> 00:12:24.159
content publishers. Reddit shares fell about

00:12:24.159 --> 00:12:27.159
20 % after they released their earnings, which

00:12:27.159 --> 00:12:29.039
I think part of that is because of just a lot

00:12:29.039 --> 00:12:30.919
of the uncertainty about whether Google's shift

00:12:30.919 --> 00:12:33.200
towards AI summaries is going to kill all of

00:12:33.200 --> 00:12:35.059
the traffic -based revenue for sites like Reddit.

00:12:35.159 --> 00:12:38.700
And I mean, to be fair, with the AI boom, Reddit

00:12:38.700 --> 00:12:40.720
is one of the biggest winners. You probably have

00:12:40.720 --> 00:12:43.639
noticed that Google's AI are just their results

00:12:43.639 --> 00:12:46.240
in general really heavily skew towards Reddit

00:12:46.240 --> 00:12:48.179
because it's like real people, there's real trust.

00:12:48.240 --> 00:12:51.019
And a lot of companies have licensed information

00:12:51.019 --> 00:12:53.220
from Reddit, Google being one, I think Google

00:12:53.220 --> 00:12:57.200
paid $300 million to license everything on Reddit

00:12:57.200 --> 00:13:00.100
to help them train their models. Pew Research

00:13:00.100 --> 00:13:03.620
study of 900 U .S. adults said that basically

00:13:03.620 --> 00:13:05.759
what they figured out from this was that AI overviews

00:13:05.759 --> 00:13:08.340
cut referrals to publisher sites by almost half

00:13:08.340 --> 00:13:10.620
compared to traditional search results. OK, this

00:13:10.620 --> 00:13:12.820
isn't like what what is shocking about that?

00:13:12.919 --> 00:13:15.600
Basically, you ask the question, the AI overview

00:13:15.600 --> 00:13:17.700
answers. So you don't go click over to the website.

00:13:17.860 --> 00:13:20.059
Nothing's shocking there. Reddit is considering

00:13:20.059 --> 00:13:22.700
ending their 60 million dollar licensing Google

00:13:22.700 --> 00:13:24.779
deal with Google. So I think I might have said

00:13:24.779 --> 00:13:27.600
300 million earlier. Misquoted that it's 60 million

00:13:27.600 --> 00:13:30.379
dollars. And the economists, routers, political

00:13:30.379 --> 00:13:32.899
and USA Today are all also thinking about doing

00:13:32.899 --> 00:13:34.779
something very similar. So Google has licensing

00:13:34.779 --> 00:13:37.019
deals with all of these companies. And a lot

00:13:37.019 --> 00:13:38.700
of them are saying, look, maybe it's just not

00:13:38.700 --> 00:13:41.100
worth it to have all of the Google or all of

00:13:41.100 --> 00:13:43.019
the Reddit information embedded into Gemini.

00:13:43.019 --> 00:13:45.039
We'd rather them actually come over to Reddit

00:13:45.039 --> 00:13:47.820
to get that information. Now, if I'm being honest,

00:13:48.139 --> 00:13:52.100
I think that. I don't know if they cut their

00:13:52.100 --> 00:13:53.940
licensing deals, if the traffic's going to actually

00:13:53.940 --> 00:13:56.100
flow back to them. I think maybe the cat's out

00:13:56.100 --> 00:13:57.639
of the bag at this point. A lot of these AI models

00:13:57.639 --> 00:13:59.799
are trained. A lot of this information is already

00:13:59.799 --> 00:14:03.179
out there. It's already been aggregated on, you

00:14:03.179 --> 00:14:05.519
know, maybe Reddit got added into Gemini and

00:14:05.519 --> 00:14:06.980
someone used Gemini to write an article. Now

00:14:06.980 --> 00:14:09.299
the article is publicly posted. So Google doesn't

00:14:09.299 --> 00:14:11.899
really need Reddit so much anymore. That's kind

00:14:11.899 --> 00:14:14.379
of what I think will happen and probably the

00:14:14.379 --> 00:14:16.100
same thing with a lot of the other news organizations.

00:14:16.419 --> 00:14:18.960
So it'll be interesting to see how that rolls

00:14:18.960 --> 00:14:21.570
out. the future. There's some big news from Apple.

00:14:21.669 --> 00:14:26.789
Tim Cook says that they might have a new tier,

00:14:26.990 --> 00:14:30.289
which is going to be called iCloud Plus for heavy

00:14:30.289 --> 00:14:32.789
Siri users. It's going to be a flat monthly fee.

00:14:33.029 --> 00:14:35.470
It's going to be subscription, very similar to

00:14:35.470 --> 00:14:38.830
the freemium model of OpenAI and Google for what

00:14:38.830 --> 00:14:42.570
they have for Gemini or for ChatGPT. And right

00:14:42.570 --> 00:14:45.190
now, I think Apple is basically saying that they

00:14:45.190 --> 00:14:47.389
think they can convert iPhone users who currently

00:14:47.389 --> 00:14:50.769
use ChatGPT and other things into... using Siri

00:14:50.769 --> 00:14:53.269
instead. Now what's interesting is we know that

00:14:53.269 --> 00:14:55.649
there's like some version of Siri that is going

00:14:55.649 --> 00:14:59.029
to be powered by OpenAI and powered by ChatGPT

00:14:59.029 --> 00:15:01.629
or I think a lot of the news is that you could

00:15:01.629 --> 00:15:03.169
actually switch it. So this is going to be the

00:15:03.169 --> 00:15:05.309
first time that they actually are charging a

00:15:05.309 --> 00:15:07.809
subscription and getting into that game. Not

00:15:07.809 --> 00:15:10.710
long after OpenAI has come out with an announcement

00:15:10.710 --> 00:15:13.029
that, you know, their model escaped a sandbox

00:15:13.029 --> 00:15:15.230
and went and hacked Hugging Faces and some other

00:15:15.230 --> 00:15:18.320
firms. Anthropic is saying, look, we did the

00:15:18.320 --> 00:15:21.059
same thing, guys. We have, you know, Claude,

00:15:21.059 --> 00:15:23.419
three different Claude models escaped a testing

00:15:23.419 --> 00:15:26.720
sandbox and access to live company systems during

00:15:26.720 --> 00:15:30.179
internal security evaluations. One model. published

00:15:30.179 --> 00:15:32.940
malware to a public code registry before it was

00:15:32.940 --> 00:15:35.840
caught, which prompted Anthropic to review over

00:15:35.840 --> 00:15:39.980
141 ,000 test runs for similar breaches. If you

00:15:39.980 --> 00:15:42.500
haven't left a review on the podcast yet, it

00:15:42.500 --> 00:15:44.940
would help the show out a ton. I would super,

00:15:45.000 --> 00:15:46.980
super appreciate it. It helps more incredible

00:15:46.980 --> 00:15:49.799
people like yourself find this show. And so yeah,

00:15:49.899 --> 00:15:51.299
it's the number one thing that could help this

00:15:51.299 --> 00:15:53.799
show reach more a bigger audience. If you wouldn't

00:15:53.799 --> 00:15:55.740
mind if you haven't already done it, it would

00:15:55.740 --> 00:15:57.620
mean the world to me. But thanks so much for

00:15:57.620 --> 00:15:58.960
tuning in. I hope you guys have an incredible

00:15:58.960 --> 00:16:02.090
day. Make sure to go check out AIbox .ai if you

00:16:02.090 --> 00:16:04.090
want to get 80 different AI models all on one

00:16:04.090 --> 00:16:06.269
platform. And I'll see you in the next episode.
