WEBVTT - Kara Frederick - Will AI Destroy us All?

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<v Speaker 1>You're listening to The Buck Sexton Show podcast, make sure

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<v Speaker 2>Hey, everybody, Welcome to the Buck Sexton Show. Kara Frederick

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<v Speaker 2>is with us now. She's formerly of Facebook, currently with

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<v Speaker 2>the Heritage Foundation, where she's Director of Tech Policy. We're

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<v Speaker 2>going to talk to her about AI, about government snooping

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<v Speaker 2>on social media platforms, and all kinds of good stuff

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<v Speaker 2>or bad stuff, but interesting stuff. Kara, welcome, Thanks for

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<v Speaker 2>having me. So let's start with Elon Musk recently spoke

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<v Speaker 2>to Tucker Carlson on Fox Tree saw it, and he said,

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<v Speaker 2>not only was he Elon flabbergasted by how much access

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<v Speaker 2>the government had to the communications and just the general

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<v Speaker 2>stuff going on at the social media platform Twitter, I'm

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<v Speaker 2>sure as true of other places, but that dms were

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<v Speaker 2>easily accessible by the government to What do you think

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<v Speaker 2>of that one?

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<v Speaker 3>Yeah, so this, you know, honestly, it's not surprising. I mean,

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<v Speaker 3>especially given the backgrounds that you and I had there.

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<v Speaker 3>We do know, first and foremost there are legitimate reasons,

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<v Speaker 3>or at least there were legitimate reasons to you know,

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<v Speaker 3>work with some federal entities when it comes to things

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<v Speaker 3>like child sexual abuse material, you know.

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<v Speaker 1>Sniffing out the bad guys.

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<v Speaker 3>I worked on foreign Islamic terrorism when I was working

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<v Speaker 3>for a big tech platform and before, so you know,

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<v Speaker 3>there are times when you want the government that is

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<v Speaker 3>ostensibly there to protect the security of Americans to maybe

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<v Speaker 3>have some sort of access to these internal communications. Unfortunately,

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<v Speaker 3>over the past two to three years, we've seen that

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<v Speaker 3>there's been a abject dereliction of duty when it comes

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<v Speaker 3>to the you know, number one, keeping United citizens safe

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<v Speaker 3>and number two really prioritizing the the security of Americans,

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<v Speaker 3>especially from external hostile forces, and instead looking inward at

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<v Speaker 3>the American populace and inflating the definition of domestic extremists

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<v Speaker 3>and terrorism and whatnot. So, in my mind, the government

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<v Speaker 3>has lost our trust and deservedly so, and they have

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<v Speaker 3>been misprioritizing when they should be looking at real, actual threats.

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<v Speaker 1>Then okay, maybe we can think about.

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<v Speaker 3>Some of these surveillance capabilities, but that's all gone, that's

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<v Speaker 3>been washed away, given especially what Elon exposed in the

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<v Speaker 3>Twitter files, and it is very telling. I think that

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<v Speaker 3>we at the Heritage Foundation, we published a report in

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<v Speaker 3>February of twenty twenty two, and we said there's a

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<v Speaker 3>symbiotic relationship between these big tech companies and the government.

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<v Speaker 3>It goes as far as collusion and any sort of

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<v Speaker 3>collusion between government actors and these big tech companies to

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<v Speaker 3>silence the speech of Americans should be prohibited. And people

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<v Speaker 3>were like, you are, Oh, come on, You're just a

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<v Speaker 3>fear monger.

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<v Speaker 1>What are you doing. But we've been I've proven right.

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<v Speaker 3>So the fact that the government had full access to

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<v Speaker 3>dms and Twitter. Again, we knew Twitter dms a long

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<v Speaker 3>time ago were probably compromised, and this just proves it.

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<v Speaker 3>And frankly, this proves a Heritage Foundation right yet again.

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<v Speaker 2>So you worked at Facebook, I would assume, and tell

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<v Speaker 2>me if it's an incorrect assumption that the very very

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<v Speaker 2>cozy and all too close relationship between Twitter pre Elon

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<v Speaker 2>and the government and as he described it, effectively, it

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<v Speaker 2>was a bloated activist organization Twitter masquerading as a social

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<v Speaker 2>media platform. I have to assume, and you tell me

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<v Speaker 2>if it's not right that the politics of Facebook, Google,

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<v Speaker 2>all the rest are basically the same and perhaps even worse.

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<v Speaker 3>I would say, post twenty sixteen Trump elections, that's when

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<v Speaker 3>everything became exacerbated. So you have you know, a cadre

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<v Speaker 3>of US who went in before that election. I did

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<v Speaker 3>there in twenty six sixteen, early twenty sixteen, and you know,

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<v Speaker 3>we we were there to solve these big problems like

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<v Speaker 3>the foreign as long terrorism issue, and you had really

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<v Speaker 3>talented people, a lot of time patriots. I came right

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<v Speaker 3>out of a naval special warfare command where I had

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<v Speaker 3>been doing counter terrorism analysis as a targeter, and I

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<v Speaker 3>went right into Facebook sort of thinking that, you know,

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<v Speaker 3>we were going to do the same thing. We were

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<v Speaker 3>going to protect Americans and their users from this you know,

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<v Speaker 3>foreign Islamic menace, which was taking the form of ISIS

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<v Speaker 3>at the time. And then I would say in twenty sixteen,

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<v Speaker 3>something really changed and it was Trump's election, and they

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<v Speaker 3>just went hysterical. And the people that they started recruiting

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<v Speaker 3>post election, you know a lot of them went in

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<v Speaker 3>sort of thinking that they had a mandate to stifle

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<v Speaker 3>the conservative voices i'd say in America. You know, prior

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<v Speaker 3>to that, we there were some interesting i would say

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<v Speaker 3>data points when it came to the way that we

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<v Speaker 3>did our analysis, for instance, and this is no secret.

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<v Speaker 3>Now these companies have been using organizations and goos like

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<v Speaker 3>the Southern Poverty Law Center to actually help them formulate

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<v Speaker 3>their policies and help them formulate the way that they

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<v Speaker 3>treated specific actors on these platforms, and they thought nothing

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<v Speaker 3>of it. They thought, Okay, SBLC is an honest broker.

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<v Speaker 3>So I think that part of it is ignorance. Part

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<v Speaker 3>of it is, you know, the sea that they swim

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<v Speaker 3>in in the Bay Area, and then the other part

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<v Speaker 3>of it is the twenty sixteen election just really unhinging

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<v Speaker 3>people and making them really come in with mission oriented

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<v Speaker 3>to sort of stifle the voices of the people that

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<v Speaker 3>they disagreed with.

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<v Speaker 2>Is it fixable at these places? Like how would you

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<v Speaker 2>actually if you were able to get you know, Zuckerberg

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<v Speaker 2>and his top lieutenants in a room and they were

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<v Speaker 2>willing to listen to reason. I mean, you know, I

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<v Speaker 2>think Facebook has just turned I'm a man that there's

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<v Speaker 2>still apparently as many people using it in America as

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<v Speaker 2>there are. I find it to be like an unwieldy

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<v Speaker 2>trash heap of nonsense, Like it's really hard to even

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<v Speaker 2>figure out where anything is anymore. They've it all looks

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<v Speaker 2>like it was made by a bunch of you know,

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<v Speaker 2>computer engineers. And I don't mean that in a good way,

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<v Speaker 2>Like it looks like it's just this kind of cobbled

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<v Speaker 2>together thing and all of the original just the ease,

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<v Speaker 2>and it's just they're throwing all this. I think it's

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<v Speaker 2>turned into a bad user user experience and user interface.

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<v Speaker 2>But anyway, forget about fixing that for a second. If

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<v Speaker 2>you were just trying to fix the fact that Facebook

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<v Speaker 2>is not fair to half of the country politically, is

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<v Speaker 2>it possible or do we just have to build our

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<v Speaker 2>own build our own thing. By the way, build your

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<v Speaker 2>own Facebook doesn't sound as crazy. Maybe it's buy your

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<v Speaker 2>own Facebook that's more expensive than Twitter. Not to call

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<v Speaker 2>elon on that one.

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<v Speaker 3>Yeah, you know, I will say personally, and when I

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<v Speaker 3>was in the company, I thought Mark Zuckerberg's instincts were

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<v Speaker 3>more libertarian than you know, more leftists. So and that

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<v Speaker 3>is sort of the old guard of the builders.

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<v Speaker 1>In Silicon Valley.

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<v Speaker 3>You know, these are engineers, and they think like engineers,

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<v Speaker 3>they think like programmers. They want to solve problems and

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<v Speaker 3>fix things. Unfortunately, I do think that he's he's been

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<v Speaker 3>there for so long and he's been frankly led astray

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<v Speaker 3>by others in the C suite and that other sort

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<v Speaker 3>of layer of upper management as well, who are very

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<v Speaker 3>concerned with pr fires. And clearly we know that public

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<v Speaker 3>relations only goes one way, and that's against Conservatives at

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<v Speaker 3>this point. So you look at that and sort of

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<v Speaker 3>see how he's been co opted when his instincts were

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<v Speaker 3>maybe initially good. I remember a speech that he gave

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<v Speaker 3>in October of twenty nineteen at Georgetown University where he

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<v Speaker 3>said Facebook had to be the alternative to an authoritarian

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<v Speaker 3>China which was propagating its digital platforms here in the US.

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<v Speaker 3>You know what happened to that that that gave me

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<v Speaker 3>a little bit of hope. But since he since spent

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<v Speaker 3>four hundred million dollars pushing certain Democrats in elections under

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<v Speaker 3>the auspices of these out the vote measures, but we

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<v Speaker 3>know that they were in blue states going to Democrat

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<v Speaker 3>activist organizations who were then pushing only getting out the

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<v Speaker 3>vote for Democrats. So unfortunately, I think those instincts that

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<v Speaker 3>he previously had have been quashed, and I don't think

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<v Speaker 3>there's any coming back from it. I do think it

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<v Speaker 3>is too far gone at this point.

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<v Speaker 2>Let's come back in a second, and talk about TikTok.

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<v Speaker 2>All right. So TikTok, I gotta tell you. I mean,

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<v Speaker 2>I've I think that YouTube is much more concerning for

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<v Speaker 2>American freedom and everything else than TikTok. And I've been

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<v Speaker 2>saying this more and more people are saying it now.

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<v Speaker 2>It seemed to be about a month ago and it

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<v Speaker 2>was like, oh, TikTok, I'm sitting here. I'm like, what

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<v Speaker 2>about the social media companies? They are already throwing elections anyway,

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<v Speaker 2>We've put that aside for a second. I mean, how

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<v Speaker 2>worried are you? Let's just look at TikTok. And I

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<v Speaker 2>won't do the you know, the what about with YouTube, Google,

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<v Speaker 2>Facebook or Instagram all that stuff, although I could. How

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<v Speaker 2>bad is TikTok really? How big a problem is it?

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<v Speaker 1>Yeah?

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<v Speaker 3>I think TikTok falls into three problem buckets. I would say,

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<v Speaker 3>and The first and foremost is the most obvious one.

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<v Speaker 3>It's that Byte Dances its parents parent company. It is

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<v Speaker 3>headquartered in Beijing and therefore subject to the laws and

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<v Speaker 3>policies of the People's Republic of China. One of the

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<v Speaker 3>laws that we like to talk about is the twenty

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<v Speaker 3>seventeen National Intelligence Law, which effectively compels private companies to

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<v Speaker 3>do the work of the state. So if the Chinese state,

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<v Speaker 3>the CCP, the Chinese Communist Party, decides that they want

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<v Speaker 3>specific data, they want access to this, they want access

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<v Speaker 3>to that, then by virtue of this law, Byte Dance

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<v Speaker 3>has to comply. And this is not my original phrasing,

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<v Speaker 3>but I think it illustrates the problem pretty well. China

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<v Speaker 3>doesn't have rule of law, they have rule by law.

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<v Speaker 3>This if this is something if you're you know, the

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<v Speaker 3>Bite Dance CEO, you're kind of powerless to resist at

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<v Speaker 3>this point, and why would you. When you look at

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<v Speaker 3>Byte Dance, they have one of three of their board

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<v Speaker 3>members of the main domestic subsidiary of Byte Dance is

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<v Speaker 3>a card carrying Chinese Communist government official. If you look

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<v Speaker 3>at like some of the good reporting that Forbes has done,

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<v Speaker 3>they scoured LinkedIn and found that three hundred plus profiles

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<v Speaker 3>had either current or former links of these current byte

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<v Speaker 3>Dance employees to a Chinese propaganda arm, to Chinese state media.

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<v Speaker 3>So you have active and former members of the Chinese

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<v Speaker 3>Communist Party, particularly in the information realm, working in byte Dance.

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<v Speaker 3>And there's so many other data points that I could

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<v Speaker 3>talk about, but that's the first one. Byte Dance very

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<v Speaker 3>close links and infiltration frankly by the CCP. They have

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<v Speaker 3>an internal committee, a DOJ report in September twenty twenty

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<v Speaker 3>coming out of the Trump administration assessed as much, and

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<v Speaker 3>we know that they are deeply involved in the inner

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<v Speaker 3>workings of TikTok as well.

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<v Speaker 1>So that's one thing, and again just tip of the iceberg.

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<v Speaker 3>We can go into just really how odious some of

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<v Speaker 3>those connections are when it comes to the connection with

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<v Speaker 3>American data as well, but I'll table that for now.

0:12:24.257 --> 0:12:27.857
<v Speaker 3>And then number two there's that influence campaign aspect, and

0:12:29.137 --> 0:12:33.217
<v Speaker 3>you know, we talk about the manipulation of the information environment.

0:12:33.537 --> 0:12:35.657
<v Speaker 3>This is something that we were dealing with in the

0:12:35.737 --> 0:12:39.737
<v Speaker 3>intelligence community and especially in big tech companies and looking

0:12:39.817 --> 0:12:43.777
<v Speaker 3>at it now and what we've seen is pro CCP

0:12:43.977 --> 0:12:50.617
<v Speaker 3>narratives pushed on these platforms. We've seen an actual Chinese

0:12:50.657 --> 0:12:54.417
<v Speaker 3>state account come to TikTok and say, how can we

0:12:54.537 --> 0:12:57.657
<v Speaker 3>push our information? And we've seen information from those accounts

0:12:57.697 --> 0:12:59.937
<v Speaker 3>pushed and not labeled as state media as well. So

0:13:00.337 --> 0:13:03.777
<v Speaker 3>we know that they're trying to do the proverbial sowing

0:13:03.817 --> 0:13:08.257
<v Speaker 3>of discord, such as promoting Democratic candidates in the twenty

0:13:08.297 --> 0:13:11.737
<v Speaker 3>twenty two midterm election to the detriment of Republican candidates.

0:13:11.817 --> 0:13:14.977
<v Speaker 3>They're trying to push stories about abortion and incendiary things

0:13:15.017 --> 0:13:19.017
<v Speaker 3>to help so descent among the American populations, something everyone

0:13:19.017 --> 0:13:20.097
<v Speaker 3>always accused sort.

0:13:19.937 --> 0:13:21.017
<v Speaker 1>Of the Russians of doing.

0:13:21.497 --> 0:13:24.617
<v Speaker 3>So that's another aspect of that information environment manipulation.

0:13:25.017 --> 0:13:27.417
<v Speaker 1>And then third, you have the kids. You know what

0:13:27.497 --> 0:13:28.497
<v Speaker 1>it's doing to children.

0:13:28.657 --> 0:13:31.577
<v Speaker 3>And we know that TikTok, in particular with the four

0:13:31.697 --> 0:13:33.297
<v Speaker 3>U algorithm, just lights a.

0:13:33.497 --> 0:13:35.537
<v Speaker 1>Fire under these social contagions.

0:13:35.937 --> 0:13:38.857
<v Speaker 3>We know that they're in bed with the transgender lobby,

0:13:39.057 --> 0:13:46.097
<v Speaker 3>featuring you know, prominent transgender activists, prominent LGBTQ activists all

0:13:46.137 --> 0:13:50.377
<v Speaker 3>over their websites raising awareness. They're very very open about

0:13:50.417 --> 0:13:55.137
<v Speaker 3>doing this, and there are pediatric hospitals that are reporting

0:13:55.497 --> 0:14:00.937
<v Speaker 3>actual physical manifestations coming out in patients because they use

0:14:01.017 --> 0:14:04.977
<v Speaker 3>TikTok like things called TikTok tics, which most researchers are

0:14:04.977 --> 0:14:09.697
<v Speaker 3>classifying as you know, pure social contagion movements. So you know,

0:14:10.177 --> 0:14:12.577
<v Speaker 3>and this is again something that TikTok is very very

0:14:12.617 --> 0:14:18.177
<v Speaker 3>efficient at that it doesn't necessarily distinguish it wholesale from

0:14:18.257 --> 0:14:19.857
<v Speaker 3>the instagrams of the world. If you want to talk

0:14:19.897 --> 0:14:21.897
<v Speaker 3>about what about is them. We know their staffs on

0:14:21.937 --> 0:14:25.657
<v Speaker 3>that in terms of mental health harms. But TikTok is poised,

0:14:25.817 --> 0:14:29.057
<v Speaker 3>especially because, as Christopher Ray says, directory of the FBI

0:14:29.737 --> 0:14:33.617
<v Speaker 3>China controls the algorithm. That's even more problematic when they're

0:14:33.657 --> 0:14:35.537
<v Speaker 3>feeding our kids this poison.

0:14:36.937 --> 0:14:41.657
<v Speaker 2>But how much of the algorithm is the kids click

0:14:41.737 --> 0:14:44.097
<v Speaker 2>on the things they click on and then it's reflected

0:14:44.137 --> 0:14:46.657
<v Speaker 2>back to them, right, Like you know, I asked this

0:14:46.777 --> 0:14:51.217
<v Speaker 2>because remember Russia, remember Russia collusion. Back in twenty sixteen,

0:14:51.297 --> 0:14:56.257
<v Speaker 2>they're saying, oh, Hillary Clinton lost because Trump worked with Russia.

0:14:56.297 --> 0:14:58.217
<v Speaker 2>And then they talked about the Facebook ads. I think

0:14:58.257 --> 0:15:00.217
<v Speaker 2>there was like one hundred thousand dollars that were spent

0:15:00.257 --> 0:15:03.417
<v Speaker 2>on these bogus you know, or Russian backed or whatever

0:15:03.457 --> 0:15:06.017
<v Speaker 2>Facebook ads. And when you look at the ads, I

0:15:06.057 --> 0:15:07.777
<v Speaker 2>mean a lot of them were ridiculous. I mean it

0:15:07.857 --> 0:15:11.257
<v Speaker 2>looked like a guy named Yuri, you know know, working

0:15:11.297 --> 0:15:14.577
<v Speaker 2>in like sub basement c of some you know fsb

0:15:14.817 --> 0:15:17.577
<v Speaker 2>outpost you know, on the on the in the outer

0:15:17.657 --> 0:15:20.777
<v Speaker 2>ring of Moscow was like looking at a you know,

0:15:20.777 --> 0:15:25.457
<v Speaker 2>a little dictionary in English. I mean it was preposterous, right,

0:15:25.497 --> 0:15:28.737
<v Speaker 2>I mean their understanding of US politics beyond lock her

0:15:28.817 --> 0:15:31.177
<v Speaker 2>up for Hillary Clinton, which you know they got that right,

0:15:31.497 --> 0:15:34.977
<v Speaker 2>but their understanding was very weak. I mean the idea

0:15:35.057 --> 0:15:38.097
<v Speaker 2>that that I just hear all these people saying, oh

0:15:38.137 --> 0:15:41.177
<v Speaker 2>my gosh, you know, the Chinese are going to brainwash

0:15:41.217 --> 0:15:43.697
<v Speaker 2>our kids and make them lazy or whatever. I look

0:15:43.737 --> 0:15:47.017
<v Speaker 2>at them, like, what do you guys think Disney's door.

0:15:47.257 --> 0:15:49.737
<v Speaker 2>I just this is the part of it that there's

0:15:49.777 --> 0:15:51.817
<v Speaker 2>so much more upset about what's going on with the

0:15:52.017 --> 0:15:54.377
<v Speaker 2>I understand the spying thing, and like if they can

0:15:54.417 --> 0:15:56.417
<v Speaker 2>suck up your information and do create that that's a

0:15:56.457 --> 0:15:59.577
<v Speaker 2>separate issue, but it sounds to me like there's also

0:15:59.737 --> 0:16:03.337
<v Speaker 2>just a content component of this, and I I don't

0:16:03.377 --> 0:16:05.417
<v Speaker 2>under I just feel like I feel like TikTok is

0:16:05.417 --> 0:16:08.097
<v Speaker 2>the shiny object where people in politics and in power

0:16:08.577 --> 0:16:11.017
<v Speaker 2>get to pretend that they're doing something that's like, oh,

0:16:11.057 --> 0:16:14.497
<v Speaker 2>we're protecting the kids from the bad influences online. They're

0:16:14.537 --> 0:16:20.297
<v Speaker 2>protecting them from one of dozens of major and endless

0:16:20.617 --> 0:16:24.577
<v Speaker 2>minor influences online that are all being pushed by the

0:16:24.617 --> 0:16:29.537
<v Speaker 2>Democrat Party anyway, like transgenderism. Beijing's not pushing transgenderism via

0:16:29.577 --> 0:16:34.257
<v Speaker 2>TikTok on kids. The Democrat Disney is pushing transgenderism on kids.

0:16:35.097 --> 0:16:37.777
<v Speaker 3>Well, number one, you know, you're right, But number two,

0:16:37.777 --> 0:16:40.537
<v Speaker 3>we also don't know that Beijing isn't pushing this stuff,

0:16:40.577 --> 0:16:42.577
<v Speaker 3>and that's you know, part of the problem too. If

0:16:42.657 --> 0:16:45.777
<v Speaker 3>China is so intimately involved in the algorithm, which it

0:16:45.857 --> 0:16:48.737
<v Speaker 3>says it won't. If there's a forced investiture to an

0:16:48.737 --> 0:16:51.417
<v Speaker 3>American company of TikTok, it said, there's no way we're

0:16:51.417 --> 0:16:54.697
<v Speaker 3>giving up the algorithm. So in my mind, that means, yeah,

0:16:54.697 --> 0:16:56.537
<v Speaker 3>they want to retain control of it. There's a commercial

0:16:56.577 --> 0:16:59.537
<v Speaker 3>element to it because it is really good, but there's

0:16:59.577 --> 0:17:03.817
<v Speaker 3>also that information environment of manipulation potential there because they

0:17:04.297 --> 0:17:06.217
<v Speaker 3>want to keep it in Chinese hands so badly, and

0:17:06.257 --> 0:17:09.017
<v Speaker 3>they've said as much, which flies in the face of

0:17:09.057 --> 0:17:11.777
<v Speaker 3>a lot of the assurances that these TikTok executives are

0:17:11.897 --> 0:17:16.897
<v Speaker 3>providing to Congress members with their you know, Project Texas potential,

0:17:17.097 --> 0:17:20.017
<v Speaker 3>you know, mollification of our representatives.

0:17:20.457 --> 0:17:23.257
<v Speaker 1>But so I also I do want to address that.

0:17:23.297 --> 0:17:27.937
<v Speaker 3>I think that when you have over sixty seven percent

0:17:28.057 --> 0:17:31.817
<v Speaker 3>of American teenagers as of last year on a particular platform,

0:17:32.137 --> 0:17:34.457
<v Speaker 3>and you have thirty percent, according to a pupil in

0:17:34.497 --> 0:17:38.297
<v Speaker 3>twenty twenty of preteens nine to eleven year olds on

0:17:38.417 --> 0:17:41.257
<v Speaker 3>a specific platform, and we have new data coming out

0:17:41.257 --> 0:17:44.577
<v Speaker 3>of the UK saying a decent percentage of toddlers are

0:17:44.617 --> 0:17:46.617
<v Speaker 3>now exposed to this content, then you.

0:17:46.657 --> 0:17:47.377
<v Speaker 1>Have a problem.

0:17:47.417 --> 0:17:50.497
<v Speaker 3>Then you have a the fact that you know, number one,

0:17:50.577 --> 0:17:52.857
<v Speaker 3>all of these children are on it to a much

0:17:52.897 --> 0:17:55.337
<v Speaker 3>greater degree than you know, Facebook, as you talked about,

0:17:55.417 --> 0:17:58.977
<v Speaker 3>is hemorrhaging users, especially in this demographic Instagram as hemorrhaging

0:17:59.057 --> 0:18:02.937
<v Speaker 3>users as well. Then then that becomes a source of information,

0:18:03.097 --> 0:18:05.337
<v Speaker 3>and we know that they're getting it for their news

0:18:05.377 --> 0:18:08.297
<v Speaker 3>now as well. They're not just looking at those cute videos.

0:18:08.297 --> 0:18:11.697
<v Speaker 3>They're they're getting it to be informed about the world.

0:18:13.097 --> 0:18:15.497
<v Speaker 3>Top Google executives said as much as well. In a

0:18:15.537 --> 0:18:19.137
<v Speaker 3>tech conference. He said, when people young kids want their news,

0:18:19.137 --> 0:18:22.057
<v Speaker 3>they go to TikTok and Google is very much aware

0:18:22.097 --> 0:18:24.657
<v Speaker 3>of that, and you know, keeping their antenna up. And

0:18:24.657 --> 0:18:26.817
<v Speaker 3>then you have American adults, so looking at the kid

0:18:26.857 --> 0:18:29.337
<v Speaker 3>stuff that matters a lot, but American adults as well.

0:18:29.417 --> 0:18:32.657
<v Speaker 3>So you know, in two years the amount of American

0:18:32.697 --> 0:18:36.577
<v Speaker 3>adults that get their news from TikTok has tripled. That's problematic,

0:18:36.617 --> 0:18:39.617
<v Speaker 3>I think from a civic perspective. I see you want

0:18:39.617 --> 0:18:41.217
<v Speaker 3>to say something, but I want to say one more

0:18:41.257 --> 0:18:42.457
<v Speaker 3>thing before I let you talk.

0:18:47.097 --> 0:18:48.697
<v Speaker 2>I'm standing in the way of the train. By all means,

0:18:48.737 --> 0:18:51.017
<v Speaker 2>go ahead, Sorry you were saying yeah.

0:18:52.977 --> 0:18:55.497
<v Speaker 3>So I think the last thing is a number of

0:18:55.657 --> 0:18:59.577
<v Speaker 3>enterprising journalists have taken it upon themselves to create their

0:18:59.617 --> 0:19:02.097
<v Speaker 3>own TikTok accounts. And what they do is they register

0:19:02.257 --> 0:19:05.817
<v Speaker 3>as users from around thirteen to fourteen, and they have found,

0:19:05.817 --> 0:19:09.737
<v Speaker 3>to a man, within minutes, they are fed content that

0:19:09.857 --> 0:19:14.897
<v Speaker 3>is composed of self harm content, suicidal content, eating disorder content,

0:19:14.977 --> 0:19:18.137
<v Speaker 3>especially if they're registering as girls versus registering as boys.

0:19:18.377 --> 0:19:22.257
<v Speaker 3>So we do know that there is something that isn't

0:19:22.337 --> 0:19:24.737
<v Speaker 3>just responsive to shall we say.

0:19:24.577 --> 0:19:26.097
<v Speaker 1>What the children want?

0:19:26.817 --> 0:19:29.617
<v Speaker 3>Granted, the TikTok algorithm is based off your engagement, not

0:19:29.657 --> 0:19:32.217
<v Speaker 3>necessarily your network, So how long your eyes linger over

0:19:32.257 --> 0:19:35.257
<v Speaker 3>a specific video if you're interested in depression, Yes, it's

0:19:35.257 --> 0:19:38.537
<v Speaker 3>more likely to feed you self harm content and suicidal content.

0:19:38.617 --> 0:19:41.697
<v Speaker 3>But this appears to be pretty uniform across the board

0:19:42.297 --> 0:19:45.457
<v Speaker 3>for a lot of these journalists experimenting anyway. So there's

0:19:45.497 --> 0:19:50.817
<v Speaker 3>something in TikTok that is particularly I would say nefarious

0:19:50.897 --> 0:19:53.657
<v Speaker 3>when it comes to our children and the noxious content

0:19:53.657 --> 0:19:54.377
<v Speaker 3>they're being fed.

0:19:54.977 --> 0:19:56.657
<v Speaker 2>I mean, do you ever go on TikTok because I

0:19:56.657 --> 0:20:02.177
<v Speaker 2>gotta say, some of those shuffle dance moves very catchy.

0:20:02.497 --> 0:20:02.737
<v Speaker 1>Fuck.

0:20:03.057 --> 0:20:05.657
<v Speaker 3>No, I am not going on TikTok, nor will I

0:20:05.697 --> 0:20:08.177
<v Speaker 3>ever go on Tiktokay.

0:20:08.137 --> 0:20:10.257
<v Speaker 2>This is where I get to point it out all

0:20:10.257 --> 0:20:13.777
<v Speaker 2>the other people in America, usually especially the Democrats, but

0:20:13.817 --> 0:20:15.577
<v Speaker 2>I get to call them comedies and have fun with it.

0:20:15.777 --> 0:20:17.737
<v Speaker 2>Apparently on this one, I've got like a soft spot

0:20:17.737 --> 0:20:20.417
<v Speaker 2>for communist China. So I'm like, I think TikTok is

0:20:20.457 --> 0:20:23.177
<v Speaker 2>super entertaining. I gotta tell you it's all for me.

0:20:23.737 --> 0:20:27.617
<v Speaker 2>It's yeah, it's it's how to how to sear like

0:20:27.697 --> 0:20:30.577
<v Speaker 2>the perfect steak and different red meat. I follow this

0:20:30.737 --> 0:20:34.177
<v Speaker 2>like Max the meat guy who makes like Wagu and

0:20:34.257 --> 0:20:37.137
<v Speaker 2>briskets and all these things. Uh, guys who know how

0:20:37.137 --> 0:20:40.657
<v Speaker 2>to make like tomahawks out of the stuff you find

0:20:40.657 --> 0:20:43.017
<v Speaker 2>in your backyard like this is and of course cute

0:20:43.057 --> 0:20:46.057
<v Speaker 2>pulldog videos like like, I was like, what is this?

0:20:46.377 --> 0:20:51.897
<v Speaker 2>How is this supposedly in some way doing anything that

0:20:52.097 --> 0:20:54.577
<v Speaker 2>is uh, you know, going to damage me? But then again,

0:20:54.617 --> 0:20:56.857
<v Speaker 2>I'm an adult and things are different, and you know

0:20:57.457 --> 0:21:01.057
<v Speaker 2>that can be a little bit of a challenge. And yeah,

0:21:01.137 --> 0:21:03.537
<v Speaker 2>so I got to get to the Oxford Gold Group

0:21:03.577 --> 0:21:05.977
<v Speaker 2>here for a second, and we come back. We're going

0:21:06.057 --> 0:21:09.577
<v Speaker 2>to talk about AI because I think its kra Frederick

0:21:09.617 --> 0:21:12.937
<v Speaker 2>has to plane whether or not Skynet is going to

0:21:12.977 --> 0:21:15.977
<v Speaker 2>become self aware and cause the nuclear war that James

0:21:16.057 --> 0:21:19.577
<v Speaker 2>Cameron warned us about in Terminator one and two and

0:21:19.617 --> 0:21:21.097
<v Speaker 2>probably the other ones, but no one saw the other

0:21:21.097 --> 0:21:24.057
<v Speaker 2>ones because the other Terminator movie sucked, So you know,

0:21:24.497 --> 0:21:26.097
<v Speaker 2>there was a she knows it's true. There was a

0:21:26.137 --> 0:21:29.537
<v Speaker 2>recent banking collapse, the nation's largest collapse of a financial

0:21:29.537 --> 0:21:32.377
<v Speaker 2>institution since two thousand and eight. So stuff can go

0:21:32.417 --> 0:21:35.737
<v Speaker 2>bad real fast, you know this, And Fiat currency is

0:21:35.777 --> 0:21:39.257
<v Speaker 2>pretty imperfect because it's a situation. Now we have inflation.

0:21:39.337 --> 0:21:42.017
<v Speaker 2>We also have thirty two trillion dollars a debt. How

0:21:42.017 --> 0:21:46.337
<v Speaker 2>about using gold and silver as a protection for your portfolio.

0:21:46.377 --> 0:21:48.297
<v Speaker 2>Have a little gold and silver on hand just in case.

0:21:48.337 --> 0:21:50.217
<v Speaker 2>I've got gold and silver right here with me in

0:21:50.257 --> 0:21:53.777
<v Speaker 2>the radio studio. Now is the time. Don't wait, because

0:21:54.097 --> 0:21:55.857
<v Speaker 2>if a crisis hits, you're gonna need to have it

0:21:55.897 --> 0:21:57.897
<v Speaker 2>on hand. And also those prices of gold and silver

0:21:57.937 --> 0:22:01.177
<v Speaker 2>are going to go way up. So now's the time

0:22:01.337 --> 0:22:04.137
<v Speaker 2>to call my friends at the Oxford Gold Group. Securing

0:22:04.137 --> 0:22:05.857
<v Speaker 2>your I array or four to one K with real

0:22:05.897 --> 0:22:07.977
<v Speaker 2>gold and silver, by the way, is also a fantastic

0:22:08.337 --> 0:22:12.137
<v Speaker 2>portfolio protection plan. All you have to do is call

0:22:12.217 --> 0:22:15.177
<v Speaker 2>the Oxford Gold Group. You can own real precious metals

0:22:15.217 --> 0:22:17.457
<v Speaker 2>just like I do. Call the Oxford Gold Group at

0:22:17.497 --> 0:22:20.857
<v Speaker 2>eight three three four zero four gold A three three

0:22:21.017 --> 0:22:27.417
<v Speaker 2>four zero four g O L d Okay so ms

0:22:27.537 --> 0:22:31.217
<v Speaker 2>Kara Frederick who is on the task force I believe

0:22:31.257 --> 0:22:34.897
<v Speaker 2>at the Heritage Foundation for dealing with AI related matters,

0:22:35.377 --> 0:22:37.417
<v Speaker 2>So you would you would have some insights into this.

0:22:38.057 --> 0:22:42.817
<v Speaker 2>I I think that the AI is and look is

0:22:42.857 --> 0:22:46.897
<v Speaker 2>Elon Musk, both wealthier and smarter than me. Yes, but

0:22:47.977 --> 0:22:50.297
<v Speaker 2>I think all this stuff about how the world is

0:22:50.417 --> 0:22:55.257
<v Speaker 2>going to end because of AI is pretty crazy. Like

0:22:55.337 --> 0:22:57.697
<v Speaker 2>I'm looking at this, I'm like, how does this even happen?

0:22:58.257 --> 0:23:01.777
<v Speaker 2>Everyone's getting all freaked out? Do I I'm usually actually no,

0:23:01.817 --> 0:23:03.937
<v Speaker 2>I usually tell people everything's gonna be okay, because most

0:23:04.017 --> 0:23:07.457
<v Speaker 2>hysteria is just people wanting attention. But is AI really?

0:23:07.577 --> 0:23:10.017
<v Speaker 2>I know it's a big deal and it's gonna matter all.

0:23:10.177 --> 0:23:12.617
<v Speaker 2>I'm not saying it doesn't matter a lot, but as

0:23:12.657 --> 0:23:15.897
<v Speaker 2>a threat, what is the threat from AI? That's the

0:23:15.897 --> 0:23:18.337
<v Speaker 2>part of this that I still haven't No one's really

0:23:18.337 --> 0:23:19.977
<v Speaker 2>been able to explain to me. It's like, oh, like

0:23:20.017 --> 0:23:22.537
<v Speaker 2>it's going to hurt our democracy because of the disinformation.

0:23:23.217 --> 0:23:24.817
<v Speaker 2>Watch CNN, look what they.

0:23:24.697 --> 0:23:26.657
<v Speaker 1>Do, fair point.

0:23:26.977 --> 0:23:29.537
<v Speaker 3>And I do think you stand in good company with

0:23:29.537 --> 0:23:30.657
<v Speaker 3>with some of the skeptics.

0:23:31.577 --> 0:23:31.817
<v Speaker 2>You know.

0:23:32.337 --> 0:23:34.937
<v Speaker 3>One of the things, as you know, in the Intel community, though,

0:23:34.937 --> 0:23:38.057
<v Speaker 3>there was always that person who was like everyone everyone

0:23:38.377 --> 0:23:42.017
<v Speaker 3>China isn't ten feet tall, right, everyone everyone al Kaita

0:23:42.177 --> 0:23:45.697
<v Speaker 3>is not looking at external operations, and they like are

0:23:45.737 --> 0:23:47.457
<v Speaker 3>the naysayers and everyone kind.

0:23:47.257 --> 0:23:51.257
<v Speaker 2>Of their whole thing is is they're the uh you know,

0:23:51.297 --> 0:23:54.017
<v Speaker 2>they're they're playing the role of what's the what's the

0:23:54.097 --> 0:23:55.817
<v Speaker 2>word we're looking for here. You know, when you're just

0:23:55.897 --> 0:23:59.977
<v Speaker 2>being in opposition, to be in opposition, I forget what

0:24:00.017 --> 0:24:04.497
<v Speaker 2>the word is. You know what I'm saying, contrarian. Thank you.

0:24:04.537 --> 0:24:05.737
<v Speaker 2>They're playing the contrarian.

0:24:05.817 --> 0:24:10.057
<v Speaker 3>Yes, yes, yes, so so you know there's that aspect

0:24:10.297 --> 0:24:12.897
<v Speaker 3>of you know, the AI community as well. But I

0:24:12.937 --> 0:24:17.937
<v Speaker 3>do think there's there there's reason to be worried. And

0:24:18.337 --> 0:24:22.257
<v Speaker 3>I like to quote, you know, two authoritarians on this matter.

0:24:22.337 --> 0:24:25.457
<v Speaker 3>And I thought this was commonplace, but apparently not. Many

0:24:25.497 --> 0:24:28.337
<v Speaker 3>people know that Putin a few years ago said whoever

0:24:28.457 --> 0:24:30.617
<v Speaker 3>is going to lead an AI is going to rule

0:24:30.657 --> 0:24:36.417
<v Speaker 3>the world. I think that that's the significant discussion to

0:24:36.777 --> 0:24:39.457
<v Speaker 3>be had, especially when Putin's saying that, and then she

0:24:39.657 --> 0:24:42.657
<v Speaker 3>and China says, you know, we want to dominate in

0:24:42.777 --> 0:24:46.177
<v Speaker 3>AI by twenty thirty. So, you know, if our adversaries

0:24:46.257 --> 0:24:48.977
<v Speaker 3>have their eye on this and they see it as

0:24:49.017 --> 0:24:54.617
<v Speaker 3>some geopolitical strategic key, then I think that it's important

0:24:54.617 --> 0:24:58.217
<v Speaker 3>to sort of pay attention. And the reason why I

0:24:58.617 --> 0:25:01.377
<v Speaker 3>think they know harnessing these technologies is really going to

0:25:01.897 --> 0:25:04.057
<v Speaker 3>uh catapult them to the front of the line of

0:25:04.377 --> 0:25:10.257
<v Speaker 3>global dominance is is because they're doing things at machine speed.

0:25:10.617 --> 0:25:13.537
<v Speaker 3>Tends to be better than doing things that human speed.

0:25:13.577 --> 0:25:15.817
<v Speaker 3>And when you're coming when you're talking about war fighting,

0:25:16.377 --> 0:25:19.337
<v Speaker 3>when you're talking about things like even you know, the

0:25:19.377 --> 0:25:22.137
<v Speaker 3>stuff that the Intel pukes like us used to do,

0:25:22.577 --> 0:25:25.577
<v Speaker 3>that computer vision algorithms can do better, you know, instead

0:25:25.577 --> 0:25:27.857
<v Speaker 3>of what project may even tried to do. Instead of

0:25:27.857 --> 0:25:30.417
<v Speaker 3>a human being sitting in front of an FMV screen,

0:25:30.497 --> 0:25:33.537
<v Speaker 3>you know, saying that's labeling a truck, labeling a rock,

0:25:33.657 --> 0:25:37.377
<v Speaker 3>labeling a car, you have machines able to do that.

0:25:37.537 --> 0:25:42.217
<v Speaker 3>And then when machines can make decisions, and again, you know,

0:25:43.097 --> 0:25:45.977
<v Speaker 3>the autonomous weapons that we have are mostly semi autonomous,

0:25:45.977 --> 0:25:47.977
<v Speaker 3>so there's always a human in the loop. At this point,

0:25:48.057 --> 0:25:50.257
<v Speaker 3>there's a lot of debate and discussion about that. But

0:25:50.337 --> 0:25:52.177
<v Speaker 3>when you get to the point that a machine is

0:25:52.257 --> 0:25:58.017
<v Speaker 3>basically cutting out all of that analytical rigor that can

0:25:58.057 --> 0:26:00.737
<v Speaker 3>be applied elsewhere to do things only humans can do,

0:26:01.137 --> 0:26:04.177
<v Speaker 3>that's going to give the war fighter a massive advantage.

0:26:04.217 --> 0:26:07.497
<v Speaker 3>So if you have a computer vision algorithm determining that

0:26:07.497 --> 0:26:09.057
<v Speaker 3>that's a rock and that's a tree, and that you

0:26:09.097 --> 0:26:13.897
<v Speaker 3>shouldn't you know, hit it with a with a kinetic strike,

0:26:14.177 --> 0:26:16.337
<v Speaker 3>then that's going to be better. If you have another

0:26:16.377 --> 0:26:19.377
<v Speaker 3>analyst sort of doing things like determining if there's a

0:26:19.417 --> 0:26:23.497
<v Speaker 3>positive identification of that actual terrorist actor which would cause

0:26:23.537 --> 0:26:25.977
<v Speaker 3>that hell fire to rain down. So I think that

0:26:26.097 --> 0:26:30.137
<v Speaker 3>you know, it's offering specific advantages because of that machine

0:26:30.137 --> 0:26:33.137
<v Speaker 3>speed vice human speed. People talk a lot about drone

0:26:33.177 --> 0:26:35.817
<v Speaker 3>swarms too, so instead of you know, training up a

0:26:35.897 --> 0:26:39.297
<v Speaker 3>human pilot necessarily these you know, what my old boss

0:26:39.297 --> 0:26:41.217
<v Speaker 3>at the Center for an American Security used to say

0:26:41.337 --> 0:26:43.297
<v Speaker 3>is that, you know, the human being sort of acts

0:26:43.337 --> 0:26:46.057
<v Speaker 3>as the quarterback and you let your your smaller, you're

0:26:46.257 --> 0:26:49.457
<v Speaker 3>cheaper systems do some of the other work for you,

0:26:49.577 --> 0:26:51.377
<v Speaker 3>so you're not sort of wasting a human being in

0:26:51.377 --> 0:26:53.857
<v Speaker 3>the human capital on that kind of thing too. So

0:26:54.177 --> 0:26:56.857
<v Speaker 3>I think those are just two examples of what AI

0:26:57.377 --> 0:26:59.937
<v Speaker 3>can help accomplish in war.

0:27:00.577 --> 0:27:03.217
<v Speaker 1>And we know that she's on a war footing.

0:27:03.657 --> 0:27:06.297
<v Speaker 3>We know that Putin is currently at war right now too,

0:27:06.337 --> 0:27:09.017
<v Speaker 3>so so that's another thing. The information environment, like what

0:27:09.057 --> 0:27:12.057
<v Speaker 3>you were talking about before, that's a whole nother kettle

0:27:12.057 --> 0:27:14.097
<v Speaker 3>of worms, and we can talk about that all day

0:27:14.137 --> 0:27:14.577
<v Speaker 3>as well.

0:27:15.897 --> 0:27:19.537
<v Speaker 2>Oh, I don't know, it seems to me like if

0:27:19.577 --> 0:27:21.657
<v Speaker 2>there's a little machine that can clean up after me,

0:27:22.017 --> 0:27:25.377
<v Speaker 2>and tell me how great I am all the time,

0:27:25.537 --> 0:27:29.817
<v Speaker 2>and you know, not ask any questions beyond that sounds good.

0:27:29.977 --> 0:27:31.897
<v Speaker 2>I'm not that worried about it, like turning into the

0:27:31.977 --> 0:27:34.977
<v Speaker 2>terminator and deciding that you know, it has feelings too,

0:27:35.017 --> 0:27:36.937
<v Speaker 2>and it's self aware at all. This I don't know.

0:27:36.977 --> 0:27:39.977
<v Speaker 2>I mean, I guess I do think it's it's definitely

0:27:39.977 --> 0:27:42.377
<v Speaker 2>going to be interesting for high school kids who want

0:27:42.377 --> 0:27:45.457
<v Speaker 2>to have some program that can easily write there, you know,

0:27:45.737 --> 0:27:48.457
<v Speaker 2>kind of B minus level term paper for them that

0:27:48.977 --> 0:27:53.097
<v Speaker 2>we know it can do pretty quickly. But friends, you

0:27:53.137 --> 0:27:57.217
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0:28:06.697 --> 0:28:09.297
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0:28:09.337 --> 0:28:12.057
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0:28:26.057 --> 0:28:29.057
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0:28:44.337 --> 0:28:48.377
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<v Speaker 2>b U c K for thirty five percent off. So, Caro,

0:28:59.337 --> 0:29:02.617
<v Speaker 2>when you're not trying to save the Internet for the

0:29:02.617 --> 0:29:05.977
<v Speaker 2>purposes of freedom, humanity and world peace and all that stuff,

0:29:05.977 --> 0:29:08.097
<v Speaker 2>what else? What do we need to have a Cara Fredder?

0:29:08.137 --> 0:29:11.137
<v Speaker 2>You were a Navy intel analyst. Is that what I'm getting?

0:29:11.137 --> 0:29:13.457
<v Speaker 2>Because you said vice in a way only people from

0:29:13.457 --> 0:29:18.217
<v Speaker 2>the intelligence community ever say vice like that, meaning instead

0:29:18.417 --> 0:29:20.497
<v Speaker 2>you know that no one else You'll never come across

0:29:20.497 --> 0:29:23.297
<v Speaker 2>anybody who did not work in the IC who will

0:29:23.337 --> 0:29:25.057
<v Speaker 2>be like, well, I think that's a good idea of vice.

0:29:25.097 --> 0:29:27.737
<v Speaker 2>This other idea you're like, wait, what, we're the only

0:29:27.777 --> 0:29:28.417
<v Speaker 2>ones who do that.

0:29:30.017 --> 0:29:31.897
<v Speaker 1>No way, Oh man about Habita.

0:29:32.457 --> 0:29:34.977
<v Speaker 2>Oh I'll give you more. I'll give you more optics.

0:29:35.497 --> 0:29:38.057
<v Speaker 2>Only people from DC talking about well from this optic

0:29:38.137 --> 0:29:40.697
<v Speaker 2>or from that optic or whatever. There there are some

0:29:40.857 --> 0:29:44.137
<v Speaker 2>things that the the Intel people in particular, we have

0:29:44.257 --> 0:29:47.697
<v Speaker 2>this weird nerd vernacular. And I caught you doing some

0:29:47.777 --> 0:29:50.777
<v Speaker 2>nerd vernacular during this podcast. So at least I know

0:29:50.817 --> 0:29:52.977
<v Speaker 2>you're the real deal. At least I know that you know,

0:29:53.417 --> 0:29:57.097
<v Speaker 2>you were pouring over those reports eight cups of coffee deep.

0:29:59.137 --> 0:30:01.897
<v Speaker 3>Yeah, it's funny, you know, get smart with Steve Carell

0:30:01.937 --> 0:30:04.257
<v Speaker 3>and Anne Hathaway. It's a it's a movie. It's like

0:30:04.297 --> 0:30:06.937
<v Speaker 3>a I don't know, spy caper. And you have the

0:30:06.977 --> 0:30:09.697
<v Speaker 3>Intel analyst who like finally gets this chance to like

0:30:09.737 --> 0:30:13.017
<v Speaker 3>be in operations officer in the field and he's you know,

0:30:13.097 --> 0:30:16.457
<v Speaker 3>talking to some operator types and he's like, wait, did

0:30:16.537 --> 0:30:18.097
<v Speaker 3>nobody read my report?

0:30:18.457 --> 0:30:20.897
<v Speaker 1>Like that was me. I was like, did nobody read

0:30:20.977 --> 0:30:21.577
<v Speaker 1>my report?

0:30:22.577 --> 0:30:25.337
<v Speaker 3>That person who would would go out with the guys

0:30:25.377 --> 0:30:28.017
<v Speaker 3>and special Operations forces and sort of be.

0:30:28.017 --> 0:30:30.377
<v Speaker 1>Like, hey, everybody, this is what we should be thinking about.

0:30:30.497 --> 0:30:31.937
<v Speaker 1>Here's the target. You should go there.

0:30:32.377 --> 0:30:36.057
<v Speaker 3>Uh So I was always a civilian, a civilian intelligence officer,

0:30:36.137 --> 0:30:38.217
<v Speaker 3>and we called him Targeters when I was working with

0:30:38.297 --> 0:30:39.737
<v Speaker 3>Naval Special Warfare Development Group.

0:30:39.817 --> 0:30:42.177
<v Speaker 1>But that was, yeah, that was my job.

0:30:42.457 --> 0:30:44.897
<v Speaker 3>I was an Al Qaida analyst first and foremost and

0:30:45.017 --> 0:30:45.777
<v Speaker 3>all sorcers.

0:30:45.817 --> 0:30:50.497
<v Speaker 2>So what they did was they like original original gangster

0:30:50.857 --> 0:30:54.337
<v Speaker 2>old school al Qaeda or the uh a Qi. Because

0:30:54.377 --> 0:30:56.737
<v Speaker 2>I was a q I, Oh you were, they brought

0:30:56.777 --> 0:30:58.697
<v Speaker 2>me in to do CDC a QI and then I

0:30:58.697 --> 0:31:01.097
<v Speaker 2>got moved to OI uh o I A and and

0:31:01.257 --> 0:31:05.417
<v Speaker 2>uh and a q I basically so no way, yeah.

0:31:05.297 --> 0:31:05.937
<v Speaker 1>No, I was.

0:31:06.177 --> 0:31:10.217
<v Speaker 3>I was looking at guys over yeah, the original guys.

0:31:10.217 --> 0:31:12.257
<v Speaker 3>Some of the guys been hiding in Iran for a

0:31:12.257 --> 0:31:15.817
<v Speaker 3>little bit that is now in the open. And yeah,

0:31:15.817 --> 0:31:18.417
<v Speaker 3>when I deployed a couple of times, that was my

0:31:19.017 --> 0:31:23.617
<v Speaker 3>that was my thing, looking at Al Kaida external operations operatives.

0:31:23.737 --> 0:31:28.297
<v Speaker 2>So what did you think of Thirteen Hours the movie,

0:31:28.337 --> 0:31:29.857
<v Speaker 2>by the way, because I always thought it was so

0:31:29.897 --> 0:31:34.697
<v Speaker 2>funny that the case officers in that were like so smug,

0:31:36.497 --> 0:31:39.217
<v Speaker 2>which is just great. It was just great. The analyst

0:31:39.257 --> 0:31:40.937
<v Speaker 2>were all sitting there like yeah, maybe we were just

0:31:41.017 --> 0:31:43.617
<v Speaker 2>back at headquarters making coffee, but like at least we

0:31:43.697 --> 0:31:46.177
<v Speaker 2>respected the paramilitary guys.

0:31:47.377 --> 0:31:48.897
<v Speaker 1>Yeah, oh don't. I don't know.

0:31:48.977 --> 0:31:51.577
<v Speaker 3>I had a lot of OGA friends when I was

0:31:51.617 --> 0:31:54.817
<v Speaker 3>out there, so you know, you got to you gotta.

0:31:54.697 --> 0:31:58.697
<v Speaker 1>Keep those relationships warm. So I was I liked your

0:31:58.737 --> 0:31:59.177
<v Speaker 1>side of the.

0:32:01.537 --> 0:32:03.657
<v Speaker 2>You know, but did you notice in the movie for

0:32:03.657 --> 0:32:05.977
<v Speaker 2>some reason, just to really hammer it home, like one

0:32:05.977 --> 0:32:10.577
<v Speaker 2>of the American case officers in Thirteen Hours just randomly

0:32:10.577 --> 0:32:12.897
<v Speaker 2>has kind of like a French accent and he's turning

0:32:12.937 --> 0:32:15.617
<v Speaker 2>around to like he's turning around to uh, you know,

0:32:15.657 --> 0:32:18.057
<v Speaker 2>what's his name? John Krasinsky, And like all these guys

0:32:18.137 --> 0:32:20.657
<v Speaker 2>were all, you know, jacked and these badasses there and

0:32:20.697 --> 0:32:23.617
<v Speaker 2>he's like he's like, IDA had to do fancy things, dude,

0:32:23.697 --> 0:32:26.017
<v Speaker 2>Like I am so cool. They're like where did this?

0:32:26.377 --> 0:32:29.217
<v Speaker 2>Where did Why is is his name? Like like Jacques Couston,

0:32:29.417 --> 0:32:31.617
<v Speaker 2>Like where did this guy? He's an Emeritan? Like they

0:32:31.737 --> 0:32:34.417
<v Speaker 2>just I love it because those guys.

0:32:34.417 --> 0:32:35.857
<v Speaker 1>Uh, the the the.

0:32:35.737 --> 0:32:39.377
<v Speaker 2>GRS guys in the movie, like, oh, it's funny the

0:32:39.497 --> 0:32:41.257
<v Speaker 2>things they would say about the case officer. I'm just sorry.

0:32:41.377 --> 0:32:43.257
<v Speaker 2>I just was observing. I'm just observing.

0:32:44.057 --> 0:32:44.297
<v Speaker 1>Fuck.

0:32:44.417 --> 0:32:47.097
<v Speaker 3>Every time I left when we were forward, every time

0:32:47.137 --> 0:32:48.857
<v Speaker 3>I left the tactical Operations Center.

0:32:48.977 --> 0:32:51.777
<v Speaker 1>All the guys in a chorus would go beat it NERD.

0:32:52.537 --> 0:32:55.377
<v Speaker 1>So yeah, it's a yeah, but you guys were like.

0:32:56.457 --> 0:32:59.977
<v Speaker 2>He had, we had our reports and are our cool stuff,

0:33:00.217 --> 0:33:04.097
<v Speaker 2>you know in the meetings that we did too? So interesting?

0:33:04.177 --> 0:33:06.897
<v Speaker 2>All right? Well, Cara, where should people go to check

0:33:06.937 --> 0:33:08.697
<v Speaker 2>out your work and the stuff that you're up to

0:33:08.777 --> 0:33:09.697
<v Speaker 2>and all that good stuff?

0:33:10.297 --> 0:33:13.097
<v Speaker 3>Yeah, first and foremost, go to Heritage dot org. So

0:33:13.217 --> 0:33:16.097
<v Speaker 3>all of our work is on the Heritage website. I

0:33:16.137 --> 0:33:18.657
<v Speaker 3>direct the Tech Policy Center there and yeah, we're we're

0:33:18.697 --> 0:33:21.217
<v Speaker 3>looking at you know, five big lines of efforts. So

0:33:21.377 --> 0:33:25.857
<v Speaker 3>go to that website to see what we're up to. Personally,

0:33:26.337 --> 0:33:28.297
<v Speaker 3>I'm again kind of in the belly of the beast.

0:33:28.377 --> 0:33:32.017
<v Speaker 3>I'm on Twitter Kara A Frederick and on Instagram as

0:33:32.097 --> 0:33:35.417
<v Speaker 3>Karafred with two DS, so you can check out my work.

0:33:35.577 --> 0:33:38.137
<v Speaker 1>I do a lot of some personal but mostly.

0:33:37.857 --> 0:33:39.737
<v Speaker 2>And you got a tiny you got a tiny baby too,

0:33:39.817 --> 0:33:42.337
<v Speaker 2>right right now you're like a yeah.

0:33:42.057 --> 0:33:44.737
<v Speaker 1>Yeah, yeah, yeah.

0:33:44.777 --> 0:33:47.257
<v Speaker 3>So she's an infant and I don't hear her, but

0:33:47.497 --> 0:33:49.337
<v Speaker 3>she's probably gonna start crying a little bit.

0:33:49.377 --> 0:33:51.857
<v Speaker 2>So this is I'm glad we didn't get the form

0:33:51.857 --> 0:33:53.497
<v Speaker 2>where you pretend you hear the infant crying so you

0:33:53.497 --> 0:33:55.937
<v Speaker 2>can end the interview early. So that's good. That means

0:33:55.937 --> 0:33:58.777
<v Speaker 2>we kept it moving here. Check out Karra stuff everybody.

0:33:58.817 --> 0:34:02.137
<v Speaker 2>Kara Frederick, thank you so much. Appreciate you joining us