WEBVTT - Cambridge Analytica: Facebook's Big Data Scandal - Part II (with Kevin Roose and Casey Newton)

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<v Speaker 1>I think it's important to have both virtues advices.

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<v Speaker 2>All right, Oh, elaborate, Kevin, what are your favorite advice?

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<v Speaker 3>He's a huge candler. Of course, we contain Volta Zudes.

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<v Speaker 3>Hello Snaffoo fans, and welcome back to snaff Who, the

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<v Speaker 3>podcast about history's greatest screw ups. I am your host

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<v Speaker 3>ed helms, and today we are diving into part two

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<v Speaker 3>of our Cambridge Analytica story, because this one was just

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<v Speaker 3>too insane to try to squeeze into one episode. It

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<v Speaker 3>is just absolutely bonkers. And of course I am still

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<v Speaker 3>joined for part two by my incredible guests, the brilliant

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<v Speaker 3>Kevin Russe and Casey Newton of the New York Times

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<v Speaker 3>tech podcast hard Fork. They are two of the most delightful, hilarious,

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<v Speaker 3>brilliant and insightful people you could ever hope to have

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<v Speaker 3>on a podecas. And they're also incredibly well informed on

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<v Speaker 3>this particular story.

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<v Speaker 2>Because they both covered it as reporters when it happened

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<v Speaker 2>back in the mid twenty tens. All right, so I

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<v Speaker 2>highly suggest if you haven't already go back and listened

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<v Speaker 2>to the previous episode just so you're fully up to speed.

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<v Speaker 2>But you know what, you don't have to. I'm going

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<v Speaker 2>to give you a quick little recap here, so we're

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<v Speaker 2>all in this together, all right. Previously on Snafu, a

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<v Speaker 2>seemingly harmless Facebook quiz turned into a full blown data

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<v Speaker 2>exploitation scheme, as millions of users had their information quietly

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<v Speaker 2>scraped from Facebook and handed over to a nefarious political

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<v Speaker 2>strategy operation called Cambridge Analytica, which then used said data

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<v Speaker 2>to build psychological profiles of nearly eighty million users and

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<v Speaker 2>then target them with manipulative political messaging. This very sketchy

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<v Speaker 2>firm was employed by both the Ted Cruz and Donald

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<v Speaker 2>Trump campaigns during the twenty sixteen presidential election. Kevin Ruce

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<v Speaker 2>actually landed an inn with zuck in the immediate aftermath

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<v Speaker 2>of this giant scandal, and it's a wild story. Kevin

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<v Speaker 2>was given like in his colleague. They were given like

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<v Speaker 2>twenty minutes to prepare for this epic interview, which was

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<v Speaker 2>probably something of a psycho power play on Zuckerberg's part anyway.

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<v Speaker 2>Cambridge Analytical whistleblower Christopher Wiley also had some very choice

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<v Speaker 2>words when he described the operation as targeting people's quote

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<v Speaker 2>inner demons, and he described the entire endeavor as quote

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<v Speaker 2>Steve Bannon's psychological warfare mind fuck Tool. Yeah, Yeah, that's

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<v Speaker 2>that's some good quote. I mean, that's what it is,

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<v Speaker 2>all right. So whether you're just joining us or you're

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<v Speaker 2>back for more, you are now fully caught up. So

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<v Speaker 2>let's dive right back into it. We've just heard about

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<v Speaker 2>Wiley's quotes the psychological warfare mind fucked Tool. Very soon

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<v Speaker 2>after this, Channel four in the UK aired under cover

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<v Speaker 2>footage of Cambridge Analytica CEO Alexander Nix, who had recently

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<v Speaker 2>told Parliament that the company hadn't used Facebook data, which

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<v Speaker 2>is a statement that did not age well. In the recordings.

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<v Speaker 2>Captured over a series of meetings with a reporter posing

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<v Speaker 2>as a wealthy prospective client, Nix laid out a menu

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<v Speaker 2>of tactics that sounded less like campaign strategy and more

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<v Speaker 2>like a rejected Bond villain, pitch honey traps with sex workers, bribery, blackmail,

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<v Speaker 2>the works, and just around things out. He also casually

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<v Speaker 2>discussed using data to influence elections across the globe. It

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<v Speaker 2>went further than that. Wiley's documents revealed that Cambridge Analytica

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<v Speaker 2>had even pitched its services to Russia in twenty fourteen,

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<v Speaker 2>they met with representatives from Luke Oil, a Russian oil

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<v Speaker 2>company that often acted as a surrogate for Putin. The

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<v Speaker 2>topic on the table was unsurprisingly psychographic messaging to help

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<v Speaker 2>Russia interfere in foreign elections. Now, it needs to be

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<v Speaker 2>noted they didn't end up doing any official work for

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<v Speaker 2>Luke Oil or the Russian government, But the fact that

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<v Speaker 2>this meeting was taken is dark. We're used to operating

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<v Speaker 2>through different vehicles in the shadows, and I look forward

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<v Speaker 2>to building a very long term and secretive relationship with you. Now,

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<v Speaker 2>I believe that was the perspective, wealthy perspective client meeting,

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<v Speaker 2>not the Luke Oil meeting. But you just get a

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<v Speaker 2>sense of this guy.

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<v Speaker 1>Opening line on Tinder.

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<v Speaker 4>I think, yes, yes, I would love to have that

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<v Speaker 4>very long term and secret of relationship. I as have

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<v Speaker 4>a long term and secretive relationship with Ed. But he said, no,

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<v Speaker 4>you have to come on the podcast. So we're going

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<v Speaker 4>to release.

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<v Speaker 2>It publicly, but it can be long term. Okay, good.

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<v Speaker 2>So by March. By March and April of twenty eighteen,

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<v Speaker 2>this story was everywhere. You couldn't open news apps without

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<v Speaker 2>bumping into cambrage. Analytica the idea that your memes and

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<v Speaker 2>likes and casual quiz results might have been repurposed in

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<v Speaker 2>political targeting. It just hit people hard. I think it

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<v Speaker 2>hit all of us in this like visceral way. It

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<v Speaker 2>just felt like suddenly what we thought harmless internet background

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<v Speaker 2>noise was not It was more insidious. Perhaps outrage followed

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<v Speaker 2>hashbag Delete Facebook started trending. Tens of millions of accounts

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<v Speaker 2>were implicated in the data exposure or included in the

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<v Speaker 2>data exposure, and users were not happy to discover that

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<v Speaker 2>they had been participating in a system they didn't realize existed.

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<v Speaker 2>Did that backlash affect Facebook?

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<v Speaker 4>I think it was a devastating blow to the trust

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<v Speaker 4>that Americans had in Facebook that the company has truly

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<v Speaker 4>never recovered from. When you look at polls of trust

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<v Speaker 4>in American companies, Facebook typically ranks around the bottom of

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<v Speaker 4>that And while it hadn't been a particularly popular company

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<v Speaker 4>before then, it still had a much better reputation than

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<v Speaker 4>it did before that. So yeah, I think Cambridge Analytica

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<v Speaker 4>was the beginning of the moment that Americans said, this

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<v Speaker 4>company seems kind of shady and it's sucks now. Interestingly,

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<v Speaker 4>that did not stop Americans from continuing to use all

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<v Speaker 4>of its products for many hours a day. But it

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<v Speaker 4>is also true that reputationally camera j analytica was just

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<v Speaker 4>huge for this company well.

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<v Speaker 1>And I think it also brought Facebook more into the

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<v Speaker 1>political sphere because people, I think in politics have kind

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<v Speaker 1>of a varying level of sophistication and familiarity with technology,

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<v Speaker 1>but like political campaigns and political influence is something they

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<v Speaker 1>do understand, and so I think, you know, Zuckerberg spent

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<v Speaker 1>most of the next couple of years like testifying before

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<v Speaker 1>various legislative bodies and answering angry questions from lawmakers, and

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<v Speaker 1>this became like a huge headache for them politically, and

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<v Speaker 1>so I think that was maybe the biggest sort of

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<v Speaker 1>long term consequence of this for Facebook was that it

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<v Speaker 1>just it made them into a political actor in a

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<v Speaker 1>new way, and I think that ended up being very

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<v Speaker 1>hard for them.

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<v Speaker 2>That makes a lot of sense. Now, the million dollar

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<v Speaker 2>question did anyone in power actually face any real repercussions?

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<v Speaker 2>And the answer is kind of but also not really.

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<v Speaker 2>So let's dig into that. First off, Facebook executives apparently

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<v Speaker 2>knew all this was happening on their platform. They found

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<v Speaker 2>out in twenty fifteen that cogan'sapp had been mining data,

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<v Speaker 2>but when they looked into it, Cambridge Analytica claimed that

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<v Speaker 2>all the data had been deleted. You guys have been

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<v Speaker 2>mentioning this so far, and so Facebook just kind of

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<v Speaker 2>let it go. Now did they tell any of their

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<v Speaker 2>users that their data had been taken? Of course not.

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<v Speaker 2>There was no need to do this, I guess. I

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<v Speaker 2>feel like the scale and complexity of these platforms just

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<v Speaker 2>makes it really easy to sweep things under the rug.

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<v Speaker 2>Like you just you don't have to you don't have

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<v Speaker 2>to own up to things so much like to what

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<v Speaker 2>is the percentage of healthy activity versus unhealthy activity in

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<v Speaker 2>a Facebook office?

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<v Speaker 4>Yeah, I think that the way that the company thinks

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<v Speaker 4>about its core business would really shock people. They sort

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<v Speaker 4>of dress it up in a lot of like metaphors

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<v Speaker 4>and they don't always say out loud exactly what they're doing.

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<v Speaker 4>But like, make no mistake, like the longer that you

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<v Speaker 4>stare at the app, the more money that company makes,

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<v Speaker 4>and so like that is what that company is built

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<v Speaker 4>to do, is to like get you to stare at it.

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<v Speaker 4>And yeah, that's had maybe a lot of negative downstream

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<v Speaker 4>consequences over the years.

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<v Speaker 2>When the Cambridge Analytical data leak was revealed, of course,

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<v Speaker 2>Facebook CEO Zuckerberg went silent for five whole days. Kevin.

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<v Speaker 2>On March twenty first of twenty eighteen, you wrote a

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<v Speaker 2>New York Times article called missing from Facebook's crisis colon

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<v Speaker 2>Mark Zuckerberg, where you said that since the scandal broke,

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<v Speaker 2>neither mister Zuckerberg nor Cheryl sam Berg, Facebook chief operating

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<v Speaker 2>officer has made any public appearances. I'm now quoting you

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<v Speaker 2>to you, but I love it. Mister Zuckerberg's last public

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<v Speaker 2>post on Facebook was a March second photo of himself

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<v Speaker 2>and his wife, Priscilla Chan baking ham and tash and

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<v Speaker 2>cookies to celebrate the Jewish holiday of Porum. Miss Sandberg's

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<v Speaker 2>most recent post was a four day old photo from

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<v Speaker 2>her child's debate competition. It feels like they're terrified, like this,

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<v Speaker 2>this is four days of what Like what's in that

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<v Speaker 2>moment for them?

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<v Speaker 1>I mean, I think they were trying to figure out

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<v Speaker 1>what had happened. They were clearly surprised by this. They

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<v Speaker 1>were looking into the various actions they had taken against

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<v Speaker 1>Cogan and Cambridge Analytica. They're trying to figure out how

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<v Speaker 1>this had sort of slipped through their systems. But they

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<v Speaker 1>were also just on their back feet and they were

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<v Speaker 1>you have to remember this was coming just shortly after

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<v Speaker 1>all of the Russia stuff which sort of swirled around

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<v Speaker 1>them in the aftermath of the twenty sixteen election, and

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<v Speaker 1>there were you know, investigations and congressional hearings and the

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<v Speaker 1>Mulla Report. Like all this was happening, you know, roughly

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<v Speaker 1>in the same period of a couple of years, and

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<v Speaker 1>I think for them, they were just trying to figure out, okay, well, like,

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<v Speaker 1>is this sort of an all hands on deck code

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<v Speaker 1>read incident or is this going to blow over soon?

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<v Speaker 2>I'm going to jump now into Zuck's testifying in front

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<v Speaker 2>of Congress. This is this was a wild media circus.

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<v Speaker 2>He gets obviously pulled in to answer a lot of

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<v Speaker 2>questions and there's some kind of interesting moments. We've got

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<v Speaker 2>one here to take a listen to. Thank you very much,

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<v Speaker 2>mis chairman.

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<v Speaker 1>Mister Zuckerberg, would you be comfortable sharing with us the

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<v Speaker 1>name of the hotel you stayed in last night?

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<v Speaker 2>No, I'm just loving Congress's approach here. They're making Zuckerberg

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<v Speaker 2>feel like his privacy is maybe that he holds it

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<v Speaker 2>at a different level than those of his customers, and

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<v Speaker 2>that that's not real. Chill chill.

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<v Speaker 1>Maybe he was just embarrassed because it was like a

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<v Speaker 1>best Western. Yeah, the Four Seasons was all full.

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<v Speaker 2>So yeah, somehow I doubt that, but I do. Yeah,

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<v Speaker 2>I just think that there were some ways in which

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<v Speaker 2>this hearing was was pretty effective and just sort of

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<v Speaker 2>channeling the bad will of what's afoot here. In later testimony,

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<v Speaker 2>Zuckerberg acknowledged that Facebook probably should have banned Cambridge Analytica

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<v Speaker 2>back in twenty fifteen. Instead of accepting their assurances that

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<v Speaker 2>they had deleted the harvested data. Zuckerberg took responsibility, saying

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<v Speaker 2>it was my mistake and I'm sorry. I started Facebook.

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<v Speaker 2>I run it, and I'm responsible for what happens here.

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<v Speaker 2>And just reading that, I also I realized that in

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<v Speaker 2>my cadence it sounded like I said and I'm sorry

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<v Speaker 2>I started Facebook, which is not what he said. He said,

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<v Speaker 2>I'm sorry period I started Facebook. But I kind of

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<v Speaker 2>like the other interpretation. Well, Zuckerberg, this is all well

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<v Speaker 2>and good, but sometimes a simple apology doesn't cut it

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<v Speaker 2>when the personal information of eighty seven million people is

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<v Speaker 2>stolen on your Watch, Casey. On June seventh, twenty eighteen,

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<v Speaker 2>you wrote a column in The Verge called Congress roasted

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<v Speaker 2>Facebook on TV, but won't hear any bills to regulate it.

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<v Speaker 2>So did Zuckerberg testifying accomplish anything? Was it all just

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<v Speaker 2>kind of a dog and pony show.

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<v Speaker 4>My view is that the congressional hearings really did not

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<v Speaker 4>accomplish very much. I got frustrated because he wound up

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<v Speaker 4>doing a bunch of these hearings over the next few years.

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<v Speaker 4>Typically somebody would ask him a question, he would get

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<v Speaker 4>five words, undo the answer, are they interrupt him and

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<v Speaker 4>move on to their next question. So it all just

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<v Speaker 4>sort of felt useless. And you know, one of the

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<v Speaker 4>really sort of funny things that emerge was that the

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<v Speaker 4>main product of these hearings was that the congress members

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<v Speaker 4>would ask him their gotcha question. They would you know,

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<v Speaker 4>interrupt him and try to look tough and sort of

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<v Speaker 4>push back on him, and then they would clip that

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<v Speaker 4>and then put that on Instagram, you know. So it

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<v Speaker 4>was like they were sort of using his platforms to

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<v Speaker 4>like burnish their own reputations but not actually address any

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<v Speaker 4>of the underlying issues that they were allegedly mad about

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<v Speaker 4>well and.

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<v Speaker 1>Critically like Congress didn't do anything. You know, they didn't

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<v Speaker 1>pass a federal privacy law. There was no lasting change

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<v Speaker 1>that came out of this that made anyone's data any

0:13:48.080 --> 0:13:51.440
<v Speaker 1>safer that originated in Congress.

0:13:51.920 --> 0:13:57.320
<v Speaker 2>Yeah, that's what that's that's unusual for Congress. That feels

0:13:57.320 --> 0:14:06.680
<v Speaker 2>weird that they didn't do anything. Let's get back to

0:14:06.760 --> 0:14:10.080
<v Speaker 2>your interview in those days right after Kevin, where you

0:14:10.120 --> 0:14:14.480
<v Speaker 2>did have you and your colleague did have that chance

0:14:14.559 --> 0:14:17.280
<v Speaker 2>to talk directly to Mark Zuckerberg. There's a pretty poignant

0:14:17.360 --> 0:14:19.640
<v Speaker 2>moment in that interview where you asked Mark if he

0:14:19.720 --> 0:14:22.240
<v Speaker 2>felt guilty about the role Facebook is playing in the world.

0:14:22.320 --> 0:14:25.360
<v Speaker 2>He said, I don't know that it's possible to know

0:14:25.440 --> 0:14:27.400
<v Speaker 2>every issue that you're going to face down the road,

0:14:27.680 --> 0:14:29.720
<v Speaker 2>but we have a real responsibility to take all these

0:14:29.760 --> 0:14:32.560
<v Speaker 2>issues seriously as they come up and work with experts

0:14:32.600 --> 0:14:34.440
<v Speaker 2>in people around the world to make sure we solve

0:14:34.480 --> 0:14:38.000
<v Speaker 2>them and do a good job for our community. At

0:14:38.040 --> 0:14:41.120
<v Speaker 2>another point in the interview, he reiterates that the primary

0:14:41.120 --> 0:14:45.440
<v Speaker 2>mission of Facebook is to connect people. Now, I think

0:14:46.080 --> 0:14:48.760
<v Speaker 2>at this point we all feel that that's a pretty

0:14:48.760 --> 0:14:53.880
<v Speaker 2>tired canard, but I'm curious at that time and being

0:14:53.960 --> 0:14:57.000
<v Speaker 2>on the phone and hearing the tenor of his voice, like,

0:14:57.480 --> 0:15:00.320
<v Speaker 2>did you believe that he was being sincere year in

0:15:00.360 --> 0:15:03.800
<v Speaker 2>that moment about Facebook's larger mission, about their sort of

0:15:04.200 --> 0:15:08.240
<v Speaker 2>sense of integrity and this quote real responsibility to take

0:15:08.280 --> 0:15:09.120
<v Speaker 2>these things seriously.

0:15:09.760 --> 0:15:12.240
<v Speaker 1>I don't know what response I had at the time,

0:15:12.400 --> 0:15:15.440
<v Speaker 1>but looking back on it now, I see that this

0:15:15.640 --> 0:15:19.200
<v Speaker 1>is just what he does or what he did. You know,

0:15:19.240 --> 0:15:24.040
<v Speaker 1>for many years since the start of Facebook, basically there

0:15:24.120 --> 0:15:26.880
<v Speaker 1>was a pattern where Facebook would do something, whether it

0:15:26.920 --> 0:15:31.280
<v Speaker 1>was changing the news feed or taking away some feature

0:15:31.360 --> 0:15:34.800
<v Speaker 1>that people liked or implementing some new feature that people

0:15:34.840 --> 0:15:41.680
<v Speaker 1>didn't like, and he would say, sorry, I'm sorry, I

0:15:41.680 --> 0:15:44.320
<v Speaker 1>feel a real responsibility to get this right or something

0:15:44.400 --> 0:15:48.400
<v Speaker 1>like that, and then nothing would change, or they would

0:15:48.400 --> 0:15:51.760
<v Speaker 1>walk back part of the change but keep the rest

0:15:51.800 --> 0:15:55.280
<v Speaker 1>of it. He did this a lot, and this was

0:15:55.400 --> 0:15:59.360
<v Speaker 1>a particularly high stakes example of this, but I think

0:15:59.400 --> 0:16:00.600
<v Speaker 1>it fit with the pattern.

0:16:01.120 --> 0:16:03.440
<v Speaker 2>Do we need to go to couple's therapy with Mark

0:16:03.480 --> 0:16:05.240
<v Speaker 2>Zuckerberg as a population?

0:16:07.800 --> 0:16:11.760
<v Speaker 4>I mean, I think we know who Mark Zuckerberg is

0:16:11.760 --> 0:16:14.640
<v Speaker 4>at this point. He is a man who wants to

0:16:14.680 --> 0:16:19.000
<v Speaker 4>win and will do almost anything to do that. But

0:16:19.160 --> 0:16:21.680
<v Speaker 4>like that is the thing that is important to him.

0:16:21.800 --> 0:16:25.000
<v Speaker 4>It is growing a big thing. His legacy is very important.

0:16:25.000 --> 0:16:26.480
<v Speaker 4>He wants to be remembered as like a sort of

0:16:26.560 --> 0:16:30.080
<v Speaker 4>you know, very important inventor. All the other details are

0:16:31.120 --> 0:16:34.880
<v Speaker 4>you know, negotiable. And I think that's actually quite scary.

0:16:35.280 --> 0:16:37.840
<v Speaker 4>And as the years have gone on, we've sort of

0:16:37.880 --> 0:16:40.360
<v Speaker 4>seen that, Like the explanation that he gave Kevin, he

0:16:40.440 --> 0:16:42.120
<v Speaker 4>gave it because that was what the world wanted to

0:16:42.160 --> 0:16:44.480
<v Speaker 4>hear at the time. But then as long as but

0:16:44.520 --> 0:16:47.440
<v Speaker 4>then when the sort of world moved on, his explanations

0:16:47.480 --> 0:16:48.160
<v Speaker 4>could move on to.

0:16:48.480 --> 0:16:53.800
<v Speaker 2>Well, despite everything, Zuckerberg got away basically scott free. But

0:16:54.000 --> 0:16:56.760
<v Speaker 2>what about Cambridge Analytica? So the fallout for them was

0:16:56.960 --> 0:17:00.400
<v Speaker 2>more straightforward. The FTC sued the company in by May eighteen,

0:17:00.840 --> 0:17:05.160
<v Speaker 2>it had filed for bankruptcy. Alexander Nicks, the CEO, didn't

0:17:05.200 --> 0:17:08.080
<v Speaker 2>exactly walk away clean either. In twenty twenty, the FDC

0:17:08.160 --> 0:17:11.760
<v Speaker 2>barred him from holding directorships or working in similar data

0:17:11.800 --> 0:17:15.840
<v Speaker 2>driven political operations. The list of conduct attached to that

0:17:16.840 --> 0:17:23.280
<v Speaker 2>ban included bribery, honeytrap schemes, voter disengagement tactics, and covert

0:17:23.359 --> 0:17:27.280
<v Speaker 2>information operations aimed at discrediting political opponents. The fine print,

0:17:27.320 --> 0:17:30.920
<v Speaker 2>of course, is that the ban is time limited, which means,

0:17:30.920 --> 0:17:33.320
<v Speaker 2>doing the math, he is set to be eligible to

0:17:33.359 --> 0:17:36.560
<v Speaker 2>return to this field in September of twenty twenty seven, and.

0:17:36.520 --> 0:17:38.440
<v Speaker 4>We're all rooting for him to get back in the game.

0:17:38.760 --> 0:17:39.920
<v Speaker 1>You got this, Alex.

0:17:41.280 --> 0:17:45.800
<v Speaker 2>He paid his debts to society. Come on, I'm sure

0:17:45.840 --> 0:17:49.359
<v Speaker 2>he turned around. He learned a lot of lessons. Casey.

0:17:49.400 --> 0:17:53.720
<v Speaker 2>In your article from The Verge titled Cambridge Analytica died

0:17:53.840 --> 0:17:57.160
<v Speaker 2>because it couldn't stop playing the victim, you wrote, Cambridge

0:17:57.160 --> 0:18:00.440
<v Speaker 2>Analytica was nothing if not consistent. After nearly two months

0:18:00.480 --> 0:18:03.440
<v Speaker 2>of scandal, the Trump campaign's one time data analytics firm

0:18:03.560 --> 0:18:07.000
<v Speaker 2>died as it lived, denying it ever did anything wrong

0:18:07.520 --> 0:18:11.119
<v Speaker 2>and excoriating the journalists who reported about the ways in

0:18:11.160 --> 0:18:14.840
<v Speaker 2>which it misused data. No one at Cambridge Analytica was

0:18:14.880 --> 0:18:17.439
<v Speaker 2>sorry for what the company did, and few will be

0:18:17.480 --> 0:18:19.960
<v Speaker 2>sorry to see it go. I love your writing, both

0:18:19.960 --> 0:18:24.040
<v Speaker 2>of you guys. I truly it's like there's just a

0:18:24.119 --> 0:18:28.879
<v Speaker 2>it's like a little chippy, you know, but also just

0:18:29.000 --> 0:18:34.480
<v Speaker 2>deeply honest and like attached to I think you guys

0:18:34.520 --> 0:18:36.800
<v Speaker 2>are coming from a place of deep integrity, and I

0:18:36.840 --> 0:18:41.560
<v Speaker 2>really appreciate that. This is obviously the classic deny, deny,

0:18:41.720 --> 0:18:45.080
<v Speaker 2>deny move which we see so much in the political sphere. Now,

0:18:45.160 --> 0:18:47.720
<v Speaker 2>do you think it's just as prevalent in the tech world.

0:18:48.160 --> 0:18:50.040
<v Speaker 2>I don't have a sense of that. I mean, obviously

0:18:50.080 --> 0:18:53.439
<v Speaker 2>it's the it's de rigueur in the political space.

0:18:54.160 --> 0:18:57.640
<v Speaker 4>What specifically just this kind of just like can deny everything.

0:18:57.840 --> 0:19:00.560
<v Speaker 2>Take no responsibility. I mean, we were just talking about

0:19:00.600 --> 0:19:02.600
<v Speaker 2>how Zuckerberg is a little bit of sort of like

0:19:02.880 --> 0:19:04.840
<v Speaker 2>pablum supplier.

0:19:05.000 --> 0:19:07.920
<v Speaker 4>But I mean my view on this is that Silicon

0:19:08.000 --> 0:19:10.520
<v Speaker 4>Valley at the very least used to pay more lip

0:19:10.560 --> 0:19:14.240
<v Speaker 4>service to corporate responsibility. You know, I started covering tech

0:19:14.240 --> 0:19:16.359
<v Speaker 4>in twenty ten, and I you know, spent the first

0:19:16.560 --> 0:19:19.800
<v Speaker 4>decades hearing companies talk endlessly about all of the good

0:19:19.800 --> 0:19:21.439
<v Speaker 4>that they were doing in the world and how they

0:19:21.440 --> 0:19:23.440
<v Speaker 4>were going to sort of change everything around us for

0:19:23.480 --> 0:19:27.600
<v Speaker 4>the better. I think the moment that changed was when

0:19:27.600 --> 0:19:31.080
<v Speaker 4>Elon Musk bought Twitter. Because Elon Musk did not really

0:19:31.119 --> 0:19:33.720
<v Speaker 4>pretend that he I mean, he would you know, make

0:19:34.160 --> 0:19:37.520
<v Speaker 4>noises sometimes about you know, Twitter saving civilization, but it

0:19:37.600 --> 0:19:40.880
<v Speaker 4>was also sort of like lofty and ridiculous. I think

0:19:40.880 --> 0:19:43.760
<v Speaker 4>no one took it seriously. But then in the meantime,

0:19:43.840 --> 0:19:45.960
<v Speaker 4>you know, he would like fire the team doing the

0:19:46.000 --> 0:19:50.119
<v Speaker 4>content moderation. He would post incredibly offensive things online all

0:19:50.160 --> 0:19:52.880
<v Speaker 4>the time, he would laid off many of his employees,

0:19:53.200 --> 0:19:55.600
<v Speaker 4>and a lot of the other CEOs in Silicon Valley

0:19:55.600 --> 0:19:57.880
<v Speaker 4>took a look at the fact that no matter how

0:19:57.920 --> 0:20:00.840
<v Speaker 4>outrageous Elon musks behavior was, value of his company has

0:20:00.880 --> 0:20:03.280
<v Speaker 4>kept going up, and they said, why have I been

0:20:03.280 --> 0:20:05.720
<v Speaker 4>paying lip serviced all this corporate responsibility stuff.

0:20:05.720 --> 0:20:06.879
<v Speaker 1>I don't have to do that. I'm just gonna do

0:20:06.880 --> 0:20:07.399
<v Speaker 1>what I want.

0:20:07.920 --> 0:20:10.320
<v Speaker 4>And so we're now sort of living in like that

0:20:10.480 --> 0:20:14.879
<v Speaker 4>dark world where no one feels any like like the

0:20:15.080 --> 0:20:17.359
<v Speaker 4>like they can sort of get away with the stuff

0:20:17.359 --> 0:20:19.359
<v Speaker 4>that they have been wanting to do the whole time.

0:20:19.400 --> 0:20:21.480
<v Speaker 1>Well, and it's i would say, it's even like it's

0:20:21.520 --> 0:20:23.639
<v Speaker 1>even gone further than that, to the point where you know,

0:20:23.760 --> 0:20:29.160
<v Speaker 1>if these CEOs used to be virtue signaling, they are

0:20:29.200 --> 0:20:30.320
<v Speaker 1>now vice signaling.

0:20:30.440 --> 0:20:30.640
<v Speaker 4>Right.

0:20:30.640 --> 0:20:33.480
<v Speaker 1>They want to be seen as sort of care free

0:20:33.560 --> 0:20:36.719
<v Speaker 1>bad boys who don't play by the rules, because that

0:20:36.840 --> 0:20:40.400
<v Speaker 1>is sort of the vibe in this class of executives

0:20:40.440 --> 0:20:44.600
<v Speaker 1>Now it's not cool if you're a CEO to be

0:20:44.680 --> 0:20:48.560
<v Speaker 1>bossed around by your employees or to take cues about

0:20:48.560 --> 0:20:52.960
<v Speaker 1>how to run your company from from anyone else. What

0:20:53.160 --> 0:20:56.560
<v Speaker 1>is in is founder mode and the idea that you

0:20:56.680 --> 0:20:58.280
<v Speaker 1>just have to sort of rule with an iron fist.

0:20:58.320 --> 0:21:00.520
<v Speaker 1>So I think there's been a real cultural shift in

0:21:00.600 --> 0:21:03.120
<v Speaker 1>Silicon Valleant and Mark Zuckerberg is a great example of that.

0:21:03.160 --> 0:21:06.399
<v Speaker 1>You know, you will notice that he no longer apologizes

0:21:06.440 --> 0:21:10.080
<v Speaker 1>for things when he went when you know, meta as

0:21:10.080 --> 0:21:12.720
<v Speaker 1>it's now called, does something that gets a lot of

0:21:12.760 --> 0:21:15.040
<v Speaker 1>people upset. You don't see him doing these sort of

0:21:15.119 --> 0:21:19.320
<v Speaker 1>apologetic press tours and saying, oh, I feel so much

0:21:19.320 --> 0:21:23.440
<v Speaker 1>responsibility over this, because that is not the it's not

0:21:23.480 --> 0:21:28.560
<v Speaker 1>required de ragur to borrow your French phrase that that

0:21:28.680 --> 0:21:29.880
<v Speaker 1>CEO should do that anymore.

0:21:29.960 --> 0:21:31.480
<v Speaker 2>Can we go back to virtue signaling?

0:21:31.760 --> 0:21:32.200
<v Speaker 3>Yeah?

0:21:32.359 --> 0:21:36.640
<v Speaker 2>Like, can we just what's like? Virtue signaling is mildly annoying,

0:21:37.160 --> 0:21:41.040
<v Speaker 2>but the but vice signaling is like deeply unsettled.

0:21:41.119 --> 0:21:43.520
<v Speaker 4>Right Also, like I would hope that even the people

0:21:43.520 --> 0:21:46.480
<v Speaker 4>complaining about virtue signaling would admit that it's still like

0:21:46.680 --> 0:21:49.960
<v Speaker 4>good to have virtues, you know, thank you, We should

0:21:50.000 --> 0:21:53.840
<v Speaker 4>still like have basic principles that we operate by that

0:21:53.960 --> 0:21:56.400
<v Speaker 4>you know, create a better world. So yeah, I would love.

0:21:56.280 --> 0:21:59.119
<v Speaker 2>To see if the accusation is that you're not living

0:21:59.240 --> 0:22:02.880
<v Speaker 2>up to the virtue is that you're espousing. I can

0:22:03.280 --> 0:22:06.720
<v Speaker 2>deal with that a lot more than just espousing horseshit

0:22:07.200 --> 0:22:09.959
<v Speaker 2>as like your value system anyway.

0:22:10.000 --> 0:22:12.880
<v Speaker 1>That's I think it's important to have both virtues and vices.

0:22:13.200 --> 0:22:16.639
<v Speaker 2>All right, Oh, elaborate, Kevin, what are your favorite vikes?

0:22:16.760 --> 0:22:20.159
<v Speaker 1>He's a huge scambler. Inside every person, there's a you know,

0:22:20.200 --> 0:22:21.440
<v Speaker 1>there's of course.

0:22:21.400 --> 0:22:27.640
<v Speaker 2>We contained multitude. This has sort of emerged throughout our discussion,

0:22:27.680 --> 0:22:29.640
<v Speaker 2>but it's worth putting a fine point on the fact

0:22:29.680 --> 0:22:32.400
<v Speaker 2>that it came out later that Cambridge Analytica's efforts may

0:22:32.440 --> 0:22:35.240
<v Speaker 2>not have had nearly as much impact as they intended

0:22:35.400 --> 0:22:40.280
<v Speaker 2>or claimed, which perhaps it really was just a giant scam,

0:22:40.359 --> 0:22:45.160
<v Speaker 2>a scam of a scam. But Cambridge Analytica's shuddering wasn't

0:22:45.200 --> 0:22:47.640
<v Speaker 2>the end for this case. Finally, in twenty twenty two

0:22:47.680 --> 0:22:52.200
<v Speaker 2>came the drum roll please class action lawsuit Facebook I'm

0:22:52.200 --> 0:22:55.200
<v Speaker 2>sorry now. Meta agreed to pay seven hundred and twenty

0:22:55.200 --> 0:22:57.200
<v Speaker 2>five million to set a legal action over the data

0:22:57.200 --> 0:23:01.000
<v Speaker 2>breach of victory. But you know, a record twenty eight

0:23:01.040 --> 0:23:03.879
<v Speaker 2>million people had staked their claim, equating to an average

0:23:03.880 --> 0:23:08.240
<v Speaker 2>payout of thirty dollars. Was this a win? Yeah?

0:23:08.240 --> 0:23:09.200
<v Speaker 1>This was huge.

0:23:09.480 --> 0:23:12.680
<v Speaker 4>I think everyone who was really upset about Donald Trump's

0:23:12.680 --> 0:23:16.480
<v Speaker 4>election and some of the underhanded tactics that Cambridge Analytica

0:23:16.480 --> 0:23:17.919
<v Speaker 4>employed to get there, all.

0:23:17.800 --> 0:23:19.280
<v Speaker 1>They really wanted was thirty dollars.

0:23:19.400 --> 0:23:22.280
<v Speaker 4>And so when that came down, I think people were like,

0:23:22.600 --> 0:23:28.440
<v Speaker 4>all right, that actually was like that was a fair deal. Yeah, yeah, yeah.

0:23:28.480 --> 0:23:29.960
<v Speaker 1>I'm retired on that thirty dollars.

0:23:30.000 --> 0:23:35.520
<v Speaker 2>Yes. Facebook did also bay a record five billion dollar

0:23:35.640 --> 0:23:38.640
<v Speaker 2>fine to the US government. The previous record holder was Equifax,

0:23:39.320 --> 0:23:41.359
<v Speaker 2>who had been charged four hundred and twenty five so

0:23:41.400 --> 0:23:43.600
<v Speaker 2>that's a pretty big jump. On top of that, there

0:23:43.680 --> 0:23:47.399
<v Speaker 2>was an sec penalty of one hundred million. The UK

0:23:47.760 --> 0:23:53.080
<v Speaker 2>Information Commissioner's Office will find them five hundred thousand pounds afterward.

0:23:53.160 --> 0:23:56.439
<v Speaker 2>According to The Guardian and Channel four, Facebook quote modified

0:23:56.520 --> 0:23:59.520
<v Speaker 2>their corporate structure to ensure executives are more accountable for

0:23:59.640 --> 0:24:04.240
<v Speaker 2>users privacy, and they also locked down quote their APIs

0:24:04.640 --> 0:24:07.639
<v Speaker 2>as you reported, Casey, And that's the extent of it, guys,

0:24:07.880 --> 0:24:11.800
<v Speaker 2>that's the whole kitten kaboodle of Cambridge Analytica, which I

0:24:11.800 --> 0:24:17.000
<v Speaker 2>always want to say Encyclopedia Britannica whenever the name comes up.

0:24:17.040 --> 0:24:18.959
<v Speaker 2>That's the first thing that falls in my head. But

0:24:19.000 --> 0:24:21.640
<v Speaker 2>before we dive into just a couple of wrap up reflections,

0:24:22.119 --> 0:24:24.640
<v Speaker 2>did we miss anything? Was there any like crucial part

0:24:24.680 --> 0:24:26.720
<v Speaker 2>of this narrative that I skipped? Well?

0:24:27.200 --> 0:24:32.040
<v Speaker 4>I mean, one of the reasons that the British press

0:24:32.080 --> 0:24:34.280
<v Speaker 4>seized on this story and sort of led a lot

0:24:34.320 --> 0:24:37.439
<v Speaker 4>of the coverage was that it was also implicated in

0:24:37.480 --> 0:24:40.800
<v Speaker 4>Brexit of US, and that there was a lot of

0:24:41.200 --> 0:24:44.880
<v Speaker 4>thinking that the same forces that wanted Trump to win

0:24:45.000 --> 0:24:47.680
<v Speaker 4>also wanted Brexit to happen, and so they had sort

0:24:47.720 --> 0:24:51.280
<v Speaker 4>of run their same psychographic operation on the UK and

0:24:51.880 --> 0:24:54.359
<v Speaker 4>Brexit wound up being successful. So I think that's an

0:24:54.359 --> 0:24:58.040
<v Speaker 4>important thing to point out, because even though again I

0:24:58.080 --> 0:25:00.199
<v Speaker 4>do believe that a lot of the feeders around what

0:25:00.240 --> 0:25:04.040
<v Speaker 4>Cambrage Analytica actually did or overstated, the fact that it

0:25:04.080 --> 0:25:07.639
<v Speaker 4>was implicated in these two kind of like epical shifts

0:25:07.680 --> 0:25:10.520
<v Speaker 4>in Western civilization within a couple of years of each

0:25:10.560 --> 0:25:12.720
<v Speaker 4>other is one of the big reasons why it caught fire.

0:25:12.920 --> 0:25:14.320
<v Speaker 1>Yeah, I would agree with that, and I would just

0:25:14.320 --> 0:25:17.680
<v Speaker 1>add one more sort of coda to this story, which

0:25:17.720 --> 0:25:21.840
<v Speaker 1>is that I think this scandal cost Facebook in one

0:25:21.880 --> 0:25:24.800
<v Speaker 1>particular way. And I'm not sure about this, but I'm

0:25:24.840 --> 0:25:28.480
<v Speaker 1>just piecing together some threads here, which is that in

0:25:28.520 --> 0:25:31.199
<v Speaker 1>twenty eighteen, as they were dealing with this, this was

0:25:31.280 --> 0:25:36.359
<v Speaker 1>also the year that researchers at places like open Ai

0:25:36.960 --> 0:25:41.000
<v Speaker 1>and Google were starting to experiment with these new kinds

0:25:41.040 --> 0:25:45.280
<v Speaker 1>of AI systems. At the time, Facebook was one of

0:25:45.280 --> 0:25:49.880
<v Speaker 1>the leading AI research companies. They had a lot of researchers,

0:25:49.880 --> 0:25:53.160
<v Speaker 1>they had this big division, and they basically missed this

0:25:53.320 --> 0:25:58.120
<v Speaker 1>wave in part, I think because they were so distracted

0:25:58.600 --> 0:26:03.679
<v Speaker 1>by all of the political controversies and the testimonies and

0:26:03.720 --> 0:26:08.320
<v Speaker 1>the hearings, and the fines and the regulation threats, and

0:26:08.720 --> 0:26:12.200
<v Speaker 1>I think it was just if you could sort of speculate,

0:26:12.440 --> 0:26:14.879
<v Speaker 1>you know, that these things have kind of a butterfly effect.

0:26:15.280 --> 0:26:17.760
<v Speaker 1>I think that one of the reasons that they were

0:26:17.960 --> 0:26:21.960
<v Speaker 1>late to this new wave of AI that is now

0:26:22.040 --> 0:26:23.640
<v Speaker 1>they are now spending a lot of money to try

0:26:23.680 --> 0:26:28.240
<v Speaker 1>to catch up in is that they were just really distracted.

0:26:28.600 --> 0:26:32.080
<v Speaker 1>And part of that distraction was this Cambridge Analytica business

0:26:32.560 --> 0:26:33.879
<v Speaker 1>in summation.

0:26:34.119 --> 0:26:36.640
<v Speaker 2>Guys, I just have one sort of one last, sort

0:26:36.680 --> 0:26:40.840
<v Speaker 2>of broad reflective question. I love that Zuckerberg's original mantra

0:26:41.040 --> 0:26:44.000
<v Speaker 2>was move fast and break things, and then in twenty

0:26:44.080 --> 0:26:49.200
<v Speaker 2>fourteen they changed it to move fast with stable infrastructure.

0:26:49.960 --> 0:26:53.760
<v Speaker 2>Of course, this was before all of this stuff broke down,

0:26:53.800 --> 0:26:56.520
<v Speaker 2>so apparently they didn't stick to it very well. But

0:26:56.640 --> 0:27:00.000
<v Speaker 2>it does indicate an awareness of some of their liability,

0:27:00.280 --> 0:27:05.240
<v Speaker 2>an awareness that perhaps they're not sort of signaling ethics

0:27:05.280 --> 0:27:08.640
<v Speaker 2>forward in the way that they should be. They should

0:27:08.680 --> 0:27:12.359
<v Speaker 2>be doing better. Cambridge Analytica was a huge misstep. But

0:27:12.440 --> 0:27:15.040
<v Speaker 2>I'm curious for both of you, guys so entrenched in

0:27:15.080 --> 0:27:18.520
<v Speaker 2>the tech industry right now, do you feel like the

0:27:18.680 --> 0:27:22.320
<v Speaker 2>general sense of the integrity of the leadership in tech

0:27:23.240 --> 0:27:27.640
<v Speaker 2>is trending better? Or it feels like we went through

0:27:27.680 --> 0:27:31.560
<v Speaker 2>a phase like you were just describing Casey, where you know,

0:27:31.920 --> 0:27:36.000
<v Speaker 2>maybe Musk taking over Twitter was like the inflection point

0:27:36.040 --> 0:27:39.840
<v Speaker 2>of a downward trend. Are we where are we headed?

0:27:40.160 --> 0:27:43.640
<v Speaker 2>And please tap into your inner optimism here?

0:27:44.520 --> 0:27:48.520
<v Speaker 4>Oh man, I'm trying to think of an optimistic take

0:27:48.680 --> 0:27:51.920
<v Speaker 4>on this that I actually believe. I think that if

0:27:51.960 --> 0:27:55.280
<v Speaker 4>I have any optimism it's that we're sort of reaching

0:27:55.440 --> 0:27:59.480
<v Speaker 4>the Nader, you know, like we have seen over the

0:27:59.560 --> 0:28:03.960
<v Speaker 4>past few years, most of the CEOs try to align

0:28:04.080 --> 0:28:09.720
<v Speaker 4>themselves with just these sort of very exploitative, hyper capitalist

0:28:09.800 --> 0:28:13.399
<v Speaker 4>forces where they seem like they scarcely care about any

0:28:13.400 --> 0:28:16.920
<v Speaker 4>individual like one of their customers. And I think that

0:28:16.920 --> 0:28:19.600
<v Speaker 4>that is just going to burn itself out, like I do,

0:28:19.760 --> 0:28:22.520
<v Speaker 4>like I feel like right now we are being consumed

0:28:22.520 --> 0:28:25.400
<v Speaker 4>by a fever, and I think the fever is going

0:28:25.440 --> 0:28:27.040
<v Speaker 4>to pass, and I do not think it is going

0:28:27.080 --> 0:28:29.359
<v Speaker 4>to kill the patient. And I think that once that

0:28:29.440 --> 0:28:31.960
<v Speaker 4>fever has passed, people are going to be looking around

0:28:32.240 --> 0:28:35.280
<v Speaker 4>and they're once again going to align themselves with you know,

0:28:35.400 --> 0:28:40.560
<v Speaker 4>companies and CEOs and political leaders who do actually signal

0:28:40.600 --> 0:28:43.000
<v Speaker 4>some virtues and live up to them and seem to

0:28:43.080 --> 0:28:45.320
<v Speaker 4>sort of have their best interests at heart. So I

0:28:45.360 --> 0:28:48.920
<v Speaker 4>think we are in a pretty dark time for that

0:28:49.200 --> 0:28:51.320
<v Speaker 4>at the moment, but I don't think it'll last for ever.

0:28:51.800 --> 0:28:55.200
<v Speaker 1>I'll offer one more threat of optimism.

0:28:54.440 --> 0:28:56.959
<v Speaker 2>Please, But first let me just say that was beautiful.

0:28:57.120 --> 0:28:59.640
<v Speaker 2>That was such a deep dig for optimism and I

0:28:59.720 --> 0:29:07.080
<v Speaker 2>believed it and I really appreciated all Right, Kevin.

0:29:05.080 --> 0:29:07.640
<v Speaker 1>Mine is optimistic in a slightly different way, which is

0:29:07.960 --> 0:29:12.120
<v Speaker 1>related to the last discussion about AI and how Meta

0:29:12.240 --> 0:29:14.680
<v Speaker 1>had missed out on this moment in part because they

0:29:14.680 --> 0:29:19.240
<v Speaker 1>were distracted. Imagine how scared people would be right now

0:29:19.280 --> 0:29:22.480
<v Speaker 1>about AI if Mark Zuckerberg and Meta were the leading

0:29:22.480 --> 0:29:25.640
<v Speaker 1>AI companies in the world, as much as people are

0:29:25.760 --> 0:29:29.760
<v Speaker 1>terrified of this stuff taking jobs and you know, creating

0:29:29.920 --> 0:29:34.240
<v Speaker 1>cyber attacks and blowing up the world. I think we're

0:29:34.240 --> 0:29:37.520
<v Speaker 1>in a better place now because Meta fell behind during

0:29:37.560 --> 0:29:39.880
<v Speaker 1>that moment than we would be if they had really

0:29:40.240 --> 0:29:44.120
<v Speaker 1>recognized that something was shifting and moved to act on

0:29:44.160 --> 0:29:47.160
<v Speaker 1>it faster. So that's not exactly optimism, but it's kind

0:29:47.160 --> 0:29:49.080
<v Speaker 1>of like a it could be worse moment.

0:29:49.240 --> 0:29:52.440
<v Speaker 2>Well, my only pushback on that is that I don't

0:29:52.440 --> 0:29:56.720
<v Speaker 2>feel like Sam Altman is any better than Mark Zuckerberg,

0:29:56.880 --> 0:30:00.440
<v Speaker 2>and in some ways scares me even more to say

0:30:00.560 --> 0:30:04.840
<v Speaker 2>that there's you guys have seen these these trending videos

0:30:04.880 --> 0:30:10.360
<v Speaker 2>where people kind of catch chat ept either being overconfident

0:30:10.600 --> 0:30:14.360
<v Speaker 2>or or or not able to spell, or not able

0:30:14.400 --> 0:30:17.000
<v Speaker 2>to use a timer and things like that. I love those.

0:30:17.000 --> 0:30:19.720
<v Speaker 2>They're very they're very funny and entertaining, but they're also

0:30:20.480 --> 0:30:25.760
<v Speaker 2>they're they're also incredibly revealing that these ais are just

0:30:25.920 --> 0:30:28.120
<v Speaker 2>not operating the way we think they are at all,

0:30:28.600 --> 0:30:31.959
<v Speaker 2>and we've fully anthropomorphized them at this point. But but

0:30:32.000 --> 0:30:36.760
<v Speaker 2>they're they're flawed, They're deeply flawed. These incredibly simple like

0:30:37.480 --> 0:30:41.440
<v Speaker 2>intellectual tests are failing. And also the thing that's scaring

0:30:41.520 --> 0:30:44.880
<v Speaker 2>me about those is that is the confidence with which

0:30:44.880 --> 0:30:47.440
<v Speaker 2>it pushes through them, And it pushes through with an

0:30:47.560 --> 0:30:51.040
<v Speaker 2>arrogance and a kind of like this reassuring thing that

0:30:51.160 --> 0:30:53.840
<v Speaker 2>you're wrong. It's like the tone is that you're wrong

0:30:53.960 --> 0:30:56.360
<v Speaker 2>and you've asked the wrong question, or that you've done

0:30:56.960 --> 0:31:01.320
<v Speaker 2>by by catching them your sort of your and I

0:31:01.320 --> 0:31:05.800
<v Speaker 2>I find that deeply unnerving and weirdly reflective of the

0:31:05.880 --> 0:31:09.360
<v Speaker 2>leadership of chat GPT. And I don't understand the technology,

0:31:09.680 --> 0:31:12.960
<v Speaker 2>but but in the ways that institutions often can reflect

0:31:13.000 --> 0:31:16.200
<v Speaker 2>their leaders that feels like such a literal way in

0:31:16.240 --> 0:31:20.880
<v Speaker 2>which chat gpt is reflecting Sam Altman, who is now

0:31:21.400 --> 0:31:25.800
<v Speaker 2>widely reported to be a very untrustworthy person. So and

0:31:25.840 --> 0:31:28.080
<v Speaker 2>also a bullshit artist, which is what the app is

0:31:28.120 --> 0:31:29.640
<v Speaker 2>doing in those moments.

0:31:29.920 --> 0:31:32.920
<v Speaker 1>So I was trying to lend a note of optimism,

0:31:33.080 --> 0:31:37.280
<v Speaker 1>but you took us right back down to hell. So I.

0:31:39.200 --> 0:31:42.240
<v Speaker 2>I tried, I'm gonna pull you down in this whirlpool.

0:31:42.800 --> 0:31:46.640
<v Speaker 2>Uh No, But I I don't know, did that even

0:31:46.640 --> 0:31:48.040
<v Speaker 2>make sense to what I'm saying there?

0:31:48.240 --> 0:31:49.840
<v Speaker 1>I think I think that. I think it's a fair point.

0:31:49.880 --> 0:31:51.800
<v Speaker 4>Now, It's also true that like all of the apps,

0:31:51.960 --> 0:31:55.880
<v Speaker 4>you know, hallucinate in this in the same way. But like,

0:31:56.120 --> 0:31:59.200
<v Speaker 4>is there a sort of general over confidence and cockiness

0:31:59.240 --> 0:32:01.680
<v Speaker 4>and bullshit about the tech world?

0:32:02.080 --> 0:32:02.280
<v Speaker 1>Yes?

0:32:02.320 --> 0:32:05.920
<v Speaker 2>Absolutely, Well, guys, this has been an absolute delight and

0:32:05.960 --> 0:32:08.720
<v Speaker 2>I truly have learned a lot from you, which is

0:32:08.760 --> 0:32:11.440
<v Speaker 2>really exciting for me. And I just want to thank

0:32:11.480 --> 0:32:14.680
<v Speaker 2>you for being so damn delightful and brilliant. Thanks for

0:32:14.680 --> 0:32:15.120
<v Speaker 2>coming on.

0:32:15.480 --> 0:32:16.040
<v Speaker 1>Thanks for having me.

0:32:16.080 --> 0:32:16.360
<v Speaker 4>Thank you.

0:32:16.720 --> 0:32:17.560
<v Speaker 1>This was so fun.

0:32:18.720 --> 0:32:22.880
<v Speaker 2>SNAFU is a production of iHeart Podcasts and Snapfu Media,

0:32:23.040 --> 0:32:27.200
<v Speaker 2>a partnership between Film Nation Entertainment and Pacific Electric Picture Company.

0:32:27.400 --> 0:32:30.960
<v Speaker 2>Post production and creative support from good Egg Audio. Our

0:32:31.040 --> 0:32:35.120
<v Speaker 2>executive producers are me Ed Helms, Mike Falbo, Glenn Basner,

0:32:35.200 --> 0:32:38.960
<v Speaker 2>Andy Kim, and Dylan Fagan. This episode was produced by

0:32:38.960 --> 0:32:43.520
<v Speaker 2>Alyssa Martino and Tory Smith. Our managing producer is Carl Nellis.

0:32:43.920 --> 0:32:47.920
<v Speaker 2>Our video editor is Jared Smith, Technical direction and engineering

0:32:47.960 --> 0:32:51.680
<v Speaker 2>from Nick Dooley. Additional story editing from Carl Nellis. Our

0:32:51.720 --> 0:32:55.120
<v Speaker 2>creative executive is Brett Harris. Logo and branding by Matt

0:32:55.200 --> 0:32:59.640
<v Speaker 2>Gosson and the collected works. Legal review from Dan Welsh

0:33:00.240 --> 0:33:04.880
<v Speaker 2>Halson and Caroline Johnson. Special thanks to Isaac Dunham, Adam Horne,

0:33:05.120 --> 0:33:09.720
<v Speaker 2>Lane Kline, and everyone at iHeart Podcasts, but especially Will Pearson,

0:33:09.880 --> 0:33:13.520
<v Speaker 2>Kerry Lieberman and Nikki Ator. While I have you, don't

0:33:13.560 --> 0:33:16.680
<v Speaker 2>forget to pick up a copy of my book, Snaffoo,

0:33:16.760 --> 0:33:20.440
<v Speaker 2>The Definitive Guide to History's Greatest screw Ups. It's available

0:33:20.480 --> 0:33:24.760
<v Speaker 2>now from any book retailer. Just go to Snaffoo dashbook

0:33:25.000 --> 0:33:28.480
<v Speaker 2>dot com. Thanks for listening, and see you next week.