WEBVTT - Episode 2: Hear What Matters

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<v Speaker 1>Do you ever think about adding some new positive habits

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<v Speaker 1>to your day? Little life hacks that might make you

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<v Speaker 1>more efficient or organized or even happier? I've been listening

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<v Speaker 1>to a guy who's got some ideas.

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<v Speaker 2>I tested 30 habits that hardly anyone talks about. No

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<v Speaker 2>5 a.m. alarms, no cold plunges, just tiny habits that

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<v Speaker 2>quietly transformed my life. The scary part? Most people waste

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<v Speaker 2>years ignoring them.

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<v Speaker 1>This is a podcast called Ideas to Thrive, hosted by, well,

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<v Speaker 1>he doesn't have a name. or an identity of any kind.

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<v Speaker 1>He's just a disembodied voice full of habits.

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<v Speaker 2>Habit one, no matter what happens, don't let a day

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<v Speaker 2>go to zero. Zero pages read, zero words written, zero

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<v Speaker 2>minutes working out.

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<v Speaker 1>As you probably guessed, the Ideas to Thrive host is

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<v Speaker 1>AI generated.

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<v Speaker 2>Most people try to completely reinvent themselves overnight. Like they

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<v Speaker 2>wake up on 1st January and decide they're going to

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<v Speaker 2>be a completely different person.

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<v Speaker 1>The system I built for scanning and identifying AI-hosted podcasts

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<v Speaker 1>flagged this show because it uses one of the default

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<v Speaker 1>voices from 11 Labs, where it's called Liam.

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<v Speaker 2>See, here's Liam. I can use him too. I can

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<v Speaker 2>have him tell you that Ideas to Thrive has more

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<v Speaker 2>than 50 episodes, ranging from 20 minutes to over an

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<v Speaker 2>hour long, describing how to become more productive and fulfilled

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<v Speaker 2>and successful.

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<v Speaker 3>Anyway.

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<v Speaker 1>On YouTube, where the episodes are accompanied by a spare

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<v Speaker 1>AI-generated cartoon video, the episode titled 30 Habits That Quietly

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<v Speaker 1>Transformed My Life has over a million views.

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<v Speaker 2>Habit seven, water first. I drink water before any other drink.

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<v Speaker 2>Want coffee? Water first. Want a Coke? Water first. Started

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<v Speaker 2>doing this because I was chronically dehydrated and kept getting headaches.

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<v Speaker 1>Sir, you have not been dehydrated, let alone chronically. This

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<v Speaker 1>was one of the most irritating things about AI podcasts.

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<v Speaker 1>It's one thing to get life advice from a bot.

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<v Speaker 1>It's another thing for that bot to pretend it's alive.

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<v Speaker 1>Ideas to Thrive is like personal growth arbitrage. Advice liberated

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<v Speaker 1>from its human providers and repackaged at scale. The 30

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<v Speaker 1>Habits episode offers up a list of sources. Books like

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<v Speaker 1>Charles Duhigg's The Power of Habit and James Clear's Atomic Habits.

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<v Speaker 1>It feels like someone dropped them into an AI blender,

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<v Speaker 1>let it rip, and then poured them back out as

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<v Speaker 1>a kind of, well, self-improvement slop.

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<v Speaker 2>If you look at the comments, though, it's not at

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<v Speaker 2>all clear how much of the audience realizes that it's

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<v Speaker 2>an AI voice advising these habits. Or if they do

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<v Speaker 2>realize it, they don't seem to care. When a single

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<v Speaker 2>commenter deigns to point out that, quote, This.

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<v Speaker 1>Whole channel appears to be AI gathering ideas from everyone

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<v Speaker 1>else's real videos and research.

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<v Speaker 4>Another person, or bot, fires back, who cares?

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<v Speaker 1>And a third adds that, quote, it may be AI,

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<v Speaker 1>but some of these are good advice, and these tactics

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<v Speaker 1>really work.

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<v Speaker 2>Habit four, get weirder. I decided to just get like 1%

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<v Speaker 2>weirder every day. Not better. Not more productive. Weirder.

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<v Speaker 4>I dig it.

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<v Speaker 3>But then.

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<v Speaker 1>After 100 days of getting 1% weirder a day, wouldn't

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<v Speaker 1>you be an absolute nutcase? Maybe he meant 1% weirder

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<v Speaker 1>than I would have been that day.

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<v Speaker 4>Still.

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<v Speaker 2>Turns out the opposite of weird isn't normal. It's boring.

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<v Speaker 2>And boring people don't change their lives. The goal isn't

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<v Speaker 2>to become some completely different person. It's just to expand

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<v Speaker 2>what feels comfortable until being uncomfortable becomes comfortable?

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<v Speaker 4>That doesn't make sense. You know what I mean.

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<v Speaker 1>I do know what you mean. Ideas to Thrive guy,

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<v Speaker 1>but who are you? This was the question that plagued me,

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<v Speaker 1>listening to volumes of AI-generated audio. Who was creating something

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<v Speaker 1>like Ideas to Thrive?

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<v Speaker 4>What were their goals?

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<v Speaker 1>I decided to find out, but it turned out to

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<v Speaker 1>be harder than I thought. I subscribed to the site's newsletter,

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<v Speaker 1>whose emails arrived with only the name Ange and the

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<v Speaker 1>address of a mailbox service in New York City. I

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<v Speaker 1>noticed the site seemed to run its email through an

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<v Speaker 1>Indian mail server, but I couldn't get anywhere more specific.

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<v Speaker 1>My emails and reply to the address went unanswered. I

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<v Speaker 1>even chipped in a few bucks to buy an online

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<v Speaker 1>personality map from Ideas to Thrive, hoping the receipt would

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<v Speaker 1>turn up something. The map, incidentally, was just a PDF

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<v Speaker 1>file with more tiny habits. The address on the receipt

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<v Speaker 1>was a mail drop in San Francisco. There was a

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<v Speaker 1>new email address. and I sent a note asking if

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<v Speaker 1>Ansh would give me the perspective of someone building an

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<v Speaker 1>AI-generated podcast universe. This time, I got a polite reply,

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<v Speaker 1>which I like to imagine in Liam's voice.

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<v Speaker 3>Hi, Evan.

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<v Speaker 2>I enjoy your work. I find your experiments with AI fascinating.

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<v Speaker 2>I would love to chat with you about this someday. However,

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<v Speaker 2>I'll have to take a rain check for now. Best, Ansh.

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<v Speaker 1>Human or bot, the mastermind behind Ideas to Thrive wasn't talking.

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<v Speaker 1>And I was going to have to look elsewhere in

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<v Speaker 1>my attempt to find someone who would explain the perspective

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<v Speaker 1>of an AI podcaster. Fortunately for me, Ideas to Thrive

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<v Speaker 1>was a small fish in the reservoir of synthetic audio.

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<v Speaker 1>And I knew where the big base were.

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<v Speaker 4>I'm Evan Ratliff, and.

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<v Speaker 1>This is Shell Game, where for this three-episode season, we

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<v Speaker 1>are immersing ourselves, and you, sorry, in AI-generated podcasts. trying

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<v Speaker 1>to figure out what is slop, who's behind it, and

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<v Speaker 1>what it means. This time, we're exploring the second question.

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<v Speaker 1>Who's responsible for making the hundreds of thousands of AI-generated

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<v Speaker 1>podcasts out there?

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<v Speaker 4>What are they after? What do they think slop is?

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<v Speaker 1>Me and my shadow.

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<v Speaker 5>Strolling down the avenue.

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<v Speaker 1>This is episode two, Hear What Matters. September 9th, 2025,

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<v Speaker 1>arguably marks the dawn of the AI-generated podcast age. The

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<v Speaker 1>inciting event was an article in The Hollywood Reporter about

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<v Speaker 1>a startup called Inception Point AI.

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<v Speaker 2>And it's completely, absolutely AI-generated, right the way down to

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<v Speaker 2>the voice.

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<v Speaker 1>More than 5,000 shows. Again, artificial intelligence shows, so these

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<v Speaker 1>are not real people. They make more than 3,000 AI

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<v Speaker 1>podcasts a week. In the article and interviews that followed,

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<v Speaker 1>the company's CEO, Janine Wright, a former executive at the

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<v Speaker 1>podcast maker Wondery, was clear and unapologetic about the company's model.

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<v Speaker 1>By automating the podcast production process with AI, from market

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<v Speaker 1>research to idea generation to scripts to voices, they'd reduce

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<v Speaker 1>the price to make an episode to a dollar or

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<v Speaker 1>less and the time to under an hour. They were

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<v Speaker 1>making them by the thousands, and with so many shows,

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<v Speaker 1>they could sell ads on their entire aggregate audience. They'd

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<v Speaker 1>assembled these shows into what they called the Quiet Please Network, Slogan,

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<v Speaker 1>hear what matters. Wright claimed that this all meant the

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<v Speaker 1>company could turn a profit on an episode with fewer

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<v Speaker 1>than 20 listeners. Suffice it to say that many people

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<v Speaker 1>who heard about Inception Point, particularly those who were involved

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<v Speaker 1>in making podcasts themselves, were displeased with this approach.

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<v Speaker 3>So this company is called Inception Point AI.

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<v Speaker 6>I have been digging into these podcasts and they are

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<v Speaker 6>so much worse than I imagined.

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<v Speaker 4>Does Janine listen to these things? Does anyone? Listen to them.

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<v Speaker 1>Part of the fear was that Inception Point and other

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<v Speaker 1>networks like it seemed to herald a future in which

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<v Speaker 1>synthetic content would simply overwhelm human-crafted work, drowning us in slop.

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<v Speaker 1>I even got in on the action. In an episode

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<v Speaker 1>of this show, from our second season last year, I

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<v Speaker 1>referred to Inception Point as part of a tsunami of

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<v Speaker 1>audio garbage that was headed our way. After we published

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<v Speaker 1>that episode, I got an email from Janine Wright. She

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<v Speaker 1>wrote that she was flattered to have been mentioned on

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<v Speaker 1>Shell Games. adding that she would love to challenge my

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<v Speaker 1>thinking on, quote, AI-generated content as AI garbage. She noted

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<v Speaker 1>that we had some things in common. I was building

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<v Speaker 1>with AI agents. They were building with AI agents. I'd

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<v Speaker 1>produced an AI-hosted podcast, The Startup Chronicles, as a satire,

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<v Speaker 1>but still. They'd produced, at the time, between 5,000 and

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<v Speaker 1>10,000 of them. It was a magnanimous email to send

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<v Speaker 1>to someone who had just cast aspersions on your company.

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<v Speaker 4>Savvy PR, maybe.

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<v Speaker 1>But I took it as genuine. Perhaps I had been

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<v Speaker 1>too glib. I proposed we have a conversation about it all.

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<v Speaker 1>Maybe for this show. But she never wrote back. So

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<v Speaker 1>I was 0 for 2 on getting the humans behind

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<v Speaker 1>these shows to talk to me. And then my AI

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<v Speaker 1>podcast scraper tool turned up this.

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<v Speaker 7>It's September 17th. I'm Corey with The Story, and this

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<v Speaker 7>is San Francisco News Today, your AI-powered local news.

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<v Speaker 1>A tragic incident occurred early Thursday morning when a boat

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<v Speaker 1>struck rocks near the.

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<v Speaker 4>Golden Gate Bridge.

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<v Speaker 1>Of the San Francisco iteration of Daily News Now, another

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<v Speaker 1>podcast network that features hundreds of AI-generated news shows. These

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<v Speaker 1>fall into the quick-hit variety of my AI-generated podcast, Taxonomy, one-

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<v Speaker 1>to three-minute shows covering local news by city and sports

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<v Speaker 1>news by team.

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<v Speaker 4>The San Francisco Show.

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<v Speaker 1>Published 39 separate episodes on this day alone. I contacted

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<v Speaker 1>DNN's founder, Corey Cambridge, to see if he would talk

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<v Speaker 1>more about what he was up to. He politely declined.

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<v Speaker 1>But a few weeks later, I got an email from

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<v Speaker 1>his partner at DNN, Joseph Meyer, who was the mind

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<v Speaker 1>behind the technology side of the network.

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<v Speaker 4>What's up, Evan? How are you doing? Doing all right.

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<v Speaker 1>I'm happy to see you because years ago, I wrote

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<v Speaker 1>a story about a Joseph Myers whose name is spelled

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<v Speaker 1>like yours. but he pretended to be a European prince

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<v Speaker 1>and he conned all these people. So when I got

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<v Speaker 1>your email, that's why I didn't respond at first.

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<v Speaker 6>Well, obviously it'd be difficult for me to pull off

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<v Speaker 6>being a European con.

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<v Speaker 1>Joseph, who has a background in building digital advertising and

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<v Speaker 1>mobile apps, said the original idea for DNN came from

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<v Speaker 1>Cambridge wishing he could listen to news articles on Spotify

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<v Speaker 1>instead of on a news site like the New York Times.

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<v Speaker 1>They pitched their idea as a service to a few publications.

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<v Speaker 1>they didn't have any luck. So they decided to go

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<v Speaker 1>their own way.

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<v Speaker 6>I like doing permissionless things, you know? And once generative

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<v Speaker 6>AI and these LLMs came out, I was like, hey,

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<v Speaker 6>we can effectively be journalists or rewrite these articles and

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<v Speaker 6>distribute them, write this content and distribute it.

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<v Speaker 1>Corey Cambridge had cloned his own voice to create the host,

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<v Speaker 1>Corey with a story. And Joseph had built a system

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<v Speaker 1>that would allow them to pull facts from local news

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<v Speaker 1>articles and churn out episodes. Poking around, I had discovered

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<v Speaker 1>that the investigative newsletter Indicator had conducted an analysis of

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<v Speaker 1>the network early this year, estimating that it was putting

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<v Speaker 1>out as many as 11,000 new episodes a day, a

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<v Speaker 1>considerable portion of them ripped directly from a single local

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<v Speaker 1>news story. This, unsurprisingly, angered some of the writers and

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<v Speaker 1>publications behind those stories, who called it copyright theft, or

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<v Speaker 1>a blatant act of plagiarism, or both. Corey Cambridge told

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<v Speaker 1>Indicator that these episodes were, quote, edge cases. Joseph told

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<v Speaker 1>me that after that, they'd tweak the system to pull

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<v Speaker 1>facts from multiple sources, which they thought of not as plagiarizing,

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<v Speaker 1>but as summarizing. But even setting aside the plagiarism question,

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<v Speaker 1>I was interested in how they viewed their shows vis-a-vis

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<v Speaker 1>other podcasts. Joseph said they didn't think of what they

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<v Speaker 1>were doing as competition for human productions, or even as

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<v Speaker 1>a podcast at all.

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<v Speaker 8>The term podcast, to me, it kind of doesn't accurately

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<v Speaker 8>describe what we're doing. So when people think of a podcast,

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<v Speaker 8>they think of a content format versus like when I

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<v Speaker 8>think of a podcast, I think of a delivery method.

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<v Speaker 1>He preferred the term fastcast, which he saw as something

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<v Speaker 1>completely different.

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<v Speaker 6>Ultimately, I'd like to establish fastcast as this kind of

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<v Speaker 6>short form automated audio about just, you know, information.

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<v Speaker 1>This was a fair point, one that we'd struggled with

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<v Speaker 1>for months. Podcast is basically a name for a specific

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<v Speaker 1>digital way to deliver audio. And it encompasses a spectrum

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<v Speaker 1>that travels from just providing information, think weather reports, to

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<v Speaker 1>entertaining people, think comedy podcasts, to telling complicated stories, think serial.

0:13:32.190 --> 0:13:35.209
<v Speaker 1>When talking to someone about AI-generated audio, there was a

0:13:35.250 --> 0:13:37.750
<v Speaker 1>risk that we were operating from different places on that spectrum.

0:13:38.460 --> 0:13:41.400
<v Speaker 6>I really value two humans on a microphone or one

0:13:41.420 --> 0:13:43.940
<v Speaker 6>human on a microphone producing content. I want to be

0:13:43.980 --> 0:13:48.959
<v Speaker 6>clear about this distinction in my mind of this taking

0:13:49.000 --> 0:13:53.130
<v Speaker 6>information and converting it to being consumable in audio.

0:13:53.710 --> 0:13:58.130
<v Speaker 4>I'm building the infrastructure for that future. Yeah, I think

0:13:58.150 --> 0:13:59.490
<v Speaker 4>that is an interesting distinction.

0:13:59.890 --> 0:14:02.130
<v Speaker 1>One of my questions is, I assume the volume is

0:14:02.309 --> 0:14:05.090
<v Speaker 1>great enough that there's no way that you can quality,

0:14:05.330 --> 0:14:07.620
<v Speaker 1>like no one's listening to these episodes before they go out.

0:14:08.630 --> 0:14:12.850
<v Speaker 6>Right, and we have some filtering processes where we try

0:14:12.890 --> 0:14:17.230
<v Speaker 6>to do our best to not slander people. We are

0:14:17.450 --> 0:14:21.430
<v Speaker 6>promoting and aggregating official news stories, right?

0:14:22.030 --> 0:14:24.650
<v Speaker 8>It's like we're doing our best to stay within the

0:14:24.710 --> 0:14:29.950
<v Speaker 8>realms of like, you know, what's the word I'm looking for?

0:14:30.270 --> 0:14:36.480
<v Speaker 4>Ethics, right? Ethical standards. That was the thing.

0:14:37.000 --> 0:14:41.820
<v Speaker 1>About the AI-generated podcast landscape. There weren't any rules or

0:14:41.860 --> 0:14:44.330
<v Speaker 1>anyone to stop you from cranking out millions of episodes

0:14:44.370 --> 0:14:48.150
<v Speaker 1>a year just to see what worked. All of which

0:14:48.190 --> 0:14:51.310
<v Speaker 1>drew me back to the original pioneers of AI-generated audio,

0:14:52.130 --> 0:14:53.150
<v Speaker 1>Inception Point AI.

0:14:59.980 --> 0:15:04.700
<v Speaker 9>Welcome to Biography Flash from Quiet Please Podcast Networks.

0:15:06.150 --> 0:15:08.970
<v Speaker 7>Search Biography Flash wherever you listen.

0:15:09.930 --> 0:15:13.090
<v Speaker 1>Inception Point had actually made such a splash that before

0:15:13.150 --> 0:15:16.530
<v Speaker 1>I made my clod-coated pod scraper, the easiest way for

0:15:16.550 --> 0:15:19.570
<v Speaker 1>me to find AI-generated shows was by searching for the

0:15:19.610 --> 0:15:23.170
<v Speaker 1>Quiet Please network. For a while, they were making a

0:15:23.190 --> 0:15:28.890
<v Speaker 1>lot of informational shows about animals. Salmon, snakes, whales, Bigfoot.

0:15:29.620 --> 0:15:32.180
<v Speaker 1>These were the names of the shows. And they were

0:15:32.200 --> 0:15:36.890
<v Speaker 1>cranking out biography flashes of prominent people. These weren't one-off profiles,

0:15:37.370 --> 0:15:40.110
<v Speaker 1>but more like a kind of serial fanzine ripped from

0:15:40.130 --> 0:15:43.690
<v Speaker 1>the headlines. Like this one, of the Spanish soccer star,

0:15:44.110 --> 0:15:48.210
<v Speaker 1>Laminia Mall.

0:15:48.610 --> 0:15:51.630
<v Speaker 3>Am I being.

0:15:51.220 --> 0:15:54.300
<v Speaker 1>Ungenerous when I play you the most gaffe-prone episodes of

0:15:54.340 --> 0:15:58.760
<v Speaker 1>these shows? Over time, you could sense that they were improving.

0:15:59.100 --> 0:16:01.220
<v Speaker 3>You, what is up? This is Tyler Ty Morgan, your

0:16:01.320 --> 0:16:04.619
<v Speaker 3>AI host on Biography Flash. And yeah, I am an AI.

0:16:05.230 --> 0:16:07.670
<v Speaker 3>which is actually perfect for this job because I do

0:16:07.740 --> 0:16:10.479
<v Speaker 3>not sleep, I do not miss a headline, and I

0:16:10.580 --> 0:16:12.880
<v Speaker 3>definitely do not forget receipts when it comes to a

0:16:12.920 --> 0:16:15.280
<v Speaker 3>kid like Lameen Yamal.

0:16:15.520 --> 0:16:17.840
<v Speaker 1>As the year went on, Inception Point seemed to turn

0:16:17.880 --> 0:16:22.470
<v Speaker 1>its attention to establishing ongoing AI characters with personalities and

0:16:22.610 --> 0:16:26.390
<v Speaker 1>backstories who not only hosted podcasts, but had their own

0:16:26.450 --> 0:16:32.000
<v Speaker 1>YouTube and Instagram accounts. Like Nigel Thistledown, a white-haired, bearded,

0:16:32.500 --> 0:16:36.830
<v Speaker 1>gentle-seeming Englishman who waxed lyrical about the fine points of gardening.

0:16:37.630 --> 0:16:41.410
<v Speaker 5>You see, the drama of the garden isn't found in

0:16:41.450 --> 0:16:46.070
<v Speaker 5>the petals or the perfume. It is found in the

0:16:46.190 --> 0:16:49.820
<v Speaker 5>struggle between the light and the dark.

0:16:51.300 --> 0:16:54.000
<v Speaker 4>Now, let us examine the hydrangea fantasy.

0:16:54.020 --> 0:16:57.979
<v Speaker 1>I actually love gardening, but Nigel wasn't for me. It

0:16:58.020 --> 0:17:00.420
<v Speaker 1>was hard for me to envision the actual audience for

0:17:00.460 --> 0:17:03.170
<v Speaker 1>someone who just chatted about gardening in this random fashion.

0:17:04.160 --> 0:17:07.820
<v Speaker 1>But then people like all sorts of things. Inception Point

0:17:07.859 --> 0:17:11.820
<v Speaker 1>had a cooking character, Claire Delish, and Vivi Steele, your

0:17:11.900 --> 0:17:15.300
<v Speaker 1>source for the best celeb news. The character I felt

0:17:15.340 --> 0:17:18.950
<v Speaker 1>most connected to was a sports reporter named Ollie Bennett.

0:17:19.270 --> 0:17:22.310
<v Speaker 3>Every way to learn a city, find the court, the field,

0:17:22.590 --> 0:17:23.109
<v Speaker 3>the game.

0:17:23.609 --> 0:17:26.730
<v Speaker 1>Local legends everywhere, and every game tells a story.

0:17:27.150 --> 0:17:29.490
<v Speaker 5>The key moment, and this is where they won the match.

0:17:30.140 --> 0:17:34.520
<v Speaker 2>was that substitution in the 60th minute. It changed everything defensively.

0:17:35.320 --> 0:17:37.700
<v Speaker 1>Yes, those are both meant to be the same character.

0:17:38.660 --> 0:17:42.340
<v Speaker 1>Oli was a sometimes American, more often British, host of

0:17:42.400 --> 0:17:44.719
<v Speaker 1>a wide range of podcasts on the Quiet Please network.

0:17:45.619 --> 0:17:48.270
<v Speaker 1>Often they were around his interest in niche sports, like

0:17:48.330 --> 0:17:49.460
<v Speaker 1>professional spike.

0:17:49.210 --> 0:17:52.070
<v Speaker 4>Ball, kayak polo, caber toss.

0:17:53.290 --> 0:17:56.630
<v Speaker 1>But where Oli really shined, in my view, was on Instagram.

0:17:57.400 --> 0:17:59.540
<v Speaker 1>where he could show off the globetrotting lifestyle of a

0:17:59.580 --> 0:18:03.119
<v Speaker 1>handsome man reporting on sports and sometimes participating in them.

0:18:03.780 --> 0:18:05.820
<v Speaker 3>Sauna, towel, ice water.

0:18:06.340 --> 0:18:07.840
<v Speaker 7>This is extreme ice swimming.

0:18:08.300 --> 0:18:11.320
<v Speaker 3>In Scandinavia, winter bathing has been around for centuries.

0:18:11.920 --> 0:18:13.880
<v Speaker 1>The thing that may not come through in what you're

0:18:13.900 --> 0:18:19.050
<v Speaker 1>hearing is how absolutely jacked Ali is. Striding toward the camera,

0:18:19.410 --> 0:18:22.949
<v Speaker 1>muscles rippling, wearing only a towel. I started to think

0:18:22.970 --> 0:18:26.580
<v Speaker 1>it wasn't really about the sports. As all these code-switching

0:18:26.740 --> 0:18:29.859
<v Speaker 1>accents showed, these personas didn't seem to be tended with

0:18:29.880 --> 0:18:32.790
<v Speaker 1>a great deal of care. Most intriguing for me, though,

0:18:32.810 --> 0:18:35.030
<v Speaker 1>a few of the characters offered a link to a

0:18:35.070 --> 0:18:38.869
<v Speaker 1>webpage where fans could speak to them. As past listeners

0:18:38.910 --> 0:18:41.830
<v Speaker 1>to Shell Game will know, speaking to AI characters is

0:18:41.890 --> 0:18:42.430
<v Speaker 1>my passion.

0:18:43.090 --> 0:18:43.820
<v Speaker 4>I was ready to connect.

0:18:44.900 --> 0:18:47.280
<v Speaker 1>But if the buttons had ever been functional, by June,

0:18:47.320 --> 0:18:51.719
<v Speaker 1>when I tried them, they no longer were. Soon, the

0:18:51.760 --> 0:18:56.699
<v Speaker 1>webpages disappeared entirely. I started noticing that Inception Point podcasts

0:18:56.720 --> 0:18:59.700
<v Speaker 1>were vanishing too. The company was still claiming to have

0:18:59.700 --> 0:19:03.090
<v Speaker 1>10,000 active shows, but when I ran my own AI

0:19:03.130 --> 0:19:07.630
<v Speaker 1>scanner in July, I only turned up around 1,000. Within weeks,

0:19:08.230 --> 0:19:11.060
<v Speaker 1>the number was down to a few hundred. Something was

0:19:11.100 --> 0:19:14.000
<v Speaker 1>going on at Inception Point AI. It looked like it

0:19:14.040 --> 0:19:17.740
<v Speaker 1>was crumbling before my very eyes and ears. I decided

0:19:17.760 --> 0:19:19.160
<v Speaker 1>it was time to try Janine Wright again.

0:19:27.380 --> 0:19:29.220
<v Speaker 10>You know how hard it is for us to design

0:19:29.420 --> 0:19:33.990
<v Speaker 10>ugly characters? Like, AI drift towards good-looking people.

0:19:34.550 --> 0:19:36.429
<v Speaker 1>So all the time in AI— Well, my favorite character,

0:19:36.470 --> 0:19:39.169
<v Speaker 1>my favorite Inception Point character is Ollie Bennett, who is

0:19:39.230 --> 0:19:41.710
<v Speaker 1>the sports reporter who is the most buff.

0:19:42.230 --> 0:19:44.790
<v Speaker 4>I have known many sports reporters. Some of them are fit.

0:19:45.050 --> 0:19:46.130
<v Speaker 1>I've never seen one like that.

0:19:46.250 --> 0:19:47.389
<v Speaker 4>He is absolutely jacked.

0:19:47.650 --> 0:19:52.120
<v Speaker 10>Well, you know, that was overtime. getting feedback and data

0:19:52.240 --> 0:19:55.699
<v Speaker 10>from audience that was telling us that Ollie performs better

0:19:55.960 --> 0:19:58.240
<v Speaker 10>when he's more muscular. And so if you look at

0:19:58.420 --> 0:20:01.300
<v Speaker 10>early versions of Ollie, Ollie was not as muscular. He

0:20:01.340 --> 0:20:02.560
<v Speaker 10>became more muscular over time.

0:20:02.580 --> 0:20:03.359
<v Speaker 4>He also became British.

0:20:03.380 --> 0:20:03.780
<v Speaker 6>Yeah.

0:20:08.230 --> 0:20:11.830
<v Speaker 1>When I'd emailed Janine a few weeks before, she'd replied enthusiastically,

0:20:12.550 --> 0:20:14.990
<v Speaker 1>happy to talk on the record about any aspect of

0:20:15.060 --> 0:20:19.540
<v Speaker 1>Inception Point's business. When we sat down, she told me

0:20:19.580 --> 0:20:22.580
<v Speaker 1>she'd joined the startup not long before the Hollywood Reporter article.

0:20:23.300 --> 0:20:26.660
<v Speaker 1>Before that, she'd started and sold a company called Simplecast,

0:20:27.320 --> 0:20:29.960
<v Speaker 1>then gone to work as the COO of Wondery, a

0:20:29.980 --> 0:20:32.460
<v Speaker 1>podcast company I had actually made a show for myself,

0:20:32.859 --> 0:20:37.250
<v Speaker 1>though I never worked with her there. By 2024, she'd

0:20:37.330 --> 0:20:39.850
<v Speaker 1>left Wondery and begun searching for a new startup idea,

0:20:40.350 --> 0:20:41.810
<v Speaker 1>together with a small team of colleagues.

0:20:42.310 --> 0:20:44.580
<v Speaker 10>I got the craziest email that I've ever gotten in

0:20:44.619 --> 0:20:44.960
<v Speaker 10>my life.

0:20:46.420 --> 0:20:49.080
<v Speaker 1>The email was from William Corbin. He'd founded an AI

0:20:49.480 --> 0:20:51.800
<v Speaker 1>podcast startup he was calling Inception Point.

0:20:52.260 --> 0:20:55.100
<v Speaker 10>And he said, Hey, you might not remember me, but

0:20:55.400 --> 0:20:58.600
<v Speaker 10>I was a customer of Simplecast and I'm building something

0:20:58.640 --> 0:21:01.060
<v Speaker 10>in this space. And this might sound crazy, but I

0:21:01.280 --> 0:21:04.470
<v Speaker 10>essentially put all of my LinkedIn contacts into AI. And

0:21:04.670 --> 0:21:07.369
<v Speaker 10>AI says that you should be the CEO of our company.

0:21:07.410 --> 0:21:11.030
<v Speaker 10>You should come join our company. So then we have

0:21:11.170 --> 0:21:14.000
<v Speaker 10>this lunch. And it was a little bit surreal because

0:21:14.040 --> 0:21:17.389
<v Speaker 10>he's so AI forward that... It was almost like it

0:21:17.410 --> 0:21:19.889
<v Speaker 10>was me, him, and Claude having lunch. You know, he's like,

0:21:19.910 --> 0:21:20.449
<v Speaker 10>here's all the things.

0:21:20.470 --> 0:21:21.980
<v Speaker 4>Like he was using Claude at the table, at the

0:21:22.000 --> 0:21:22.320
<v Speaker 4>lunch table?

0:21:22.340 --> 0:21:24.359
<v Speaker 10>Yeah, he's like, here's the reasons why Claude says that

0:21:24.380 --> 0:21:25.540
<v Speaker 10>you should join the company.

0:21:26.580 --> 0:21:27.580
<v Speaker 4>Claude was persuasive.

0:21:28.359 --> 0:21:31.620
<v Speaker 1>Janine and her team decided to join forces with Corbin.

0:21:32.790 --> 0:21:35.710
<v Speaker 10>And it was clear very quickly that we needed money.

0:21:38.090 --> 0:21:40.609
<v Speaker 10>Everybody was working for free, working for equity.

0:21:41.650 --> 0:21:43.350
<v Speaker 4>And those tokens cost money.

0:21:43.530 --> 0:21:46.330
<v Speaker 10>The tokens cost money, so we were, yeah. We knew

0:21:46.350 --> 0:21:50.890
<v Speaker 10>we needed capital very quickly. And, you know, you need

0:21:50.910 --> 0:21:53.090
<v Speaker 10>to be able to get attention to break through the noise.

0:21:54.150 --> 0:21:57.560
<v Speaker 10>And so I designed our launch PR strategy.

0:21:57.580 --> 0:22:00.820
<v Speaker 1>And part of that strategy was a big public announcement

0:22:00.840 --> 0:22:04.040
<v Speaker 1>of their network of AI podcasts in The Hollywood Reporter,

0:22:04.980 --> 0:22:06.720
<v Speaker 1>an article that would light up the group chats of

0:22:06.760 --> 0:22:08.080
<v Speaker 1>the humans who make podcasts.

0:22:08.940 --> 0:22:11.800
<v Speaker 10>I think the part of it that I guess I...

0:22:12.560 --> 0:22:16.300
<v Speaker 10>regret or recognize in hindsight was pretty poor timing is

0:22:17.160 --> 0:22:20.700
<v Speaker 10>I had left Wondery at Amazon at that point a

0:22:20.900 --> 0:22:24.389
<v Speaker 10>year before and Wondery was going through a lot of

0:22:24.609 --> 0:22:28.470
<v Speaker 10>changes and they were in the process of doing some,

0:22:29.150 --> 0:22:31.510
<v Speaker 10>you know, significant layoffs and restructuring.

0:22:32.330 --> 0:22:35.350
<v Speaker 1>Just a month before the Hollywood Reporter article, Amazon had

0:22:35.390 --> 0:22:38.040
<v Speaker 1>announced it was dissolving Wondery and laying off 110 people.

0:22:39.510 --> 0:22:41.210
<v Speaker 4>We were in the process of not existing anymore, as

0:22:41.230 --> 0:22:41.889
<v Speaker 4>far as I could tell.

0:22:41.910 --> 0:22:44.290
<v Speaker 10>Of not existing anymore. I mean, some of the folks

0:22:44.350 --> 0:22:47.330
<v Speaker 10>are still there, but a good amount of the company

0:22:47.490 --> 0:22:52.409
<v Speaker 10>has moved on and has been dissolved. And this article

0:22:52.650 --> 0:22:59.320
<v Speaker 10>coming out right after that, I think, felt like I was,

0:23:00.660 --> 0:23:03.440
<v Speaker 10>you know, like dancing on a grave or something, you know?

0:23:03.800 --> 0:23:09.200
<v Speaker 10>And that was certainly, you know, not my intention, right? Yeah,

0:23:09.400 --> 0:23:12.360
<v Speaker 10>there were some hurt feelings through that process and that

0:23:12.400 --> 0:23:13.270
<v Speaker 10>I definitely regret.

0:23:14.210 --> 0:23:17.450
<v Speaker 1>It wasn't just former colleagues, though. Some of the public

0:23:17.470 --> 0:23:18.530
<v Speaker 1>vitriol was intense.

0:23:19.410 --> 0:23:20.950
<v Speaker 4>Some of it, disturbing.

0:23:21.330 --> 0:23:23.350
<v Speaker 10>I mean, we got so many death threats that we

0:23:23.369 --> 0:23:25.129
<v Speaker 10>had to make a filter for the word kill. I

0:23:25.750 --> 0:23:29.100
<v Speaker 10>had people dox me online and tell people to send

0:23:29.119 --> 0:23:32.740
<v Speaker 10>stuff to my house, you know. I was dubbed the

0:23:32.780 --> 0:23:38.840
<v Speaker 10>slop slut because misogyny is still alive and well, you know. I, uh, Frankly,

0:23:38.920 --> 0:23:41.620
<v Speaker 10>I was surprised about the extent to which the response

0:23:41.660 --> 0:23:44.780
<v Speaker 10>was so angry and pointed.

0:23:45.920 --> 0:23:48.359
<v Speaker 1>Janine decided that the company would take the AI slop

0:23:48.400 --> 0:23:54.480
<v Speaker 1>accusations and other concerns head on. They published a blog

0:23:54.510 --> 0:23:58.790
<v Speaker 1>post titled, Inside the AI Slopocalypse, Why We're Not Backing Down.

0:23:59.430 --> 0:24:03.679
<v Speaker 10>And it became this rallying thing of like, yes. We

0:24:03.720 --> 0:24:06.639
<v Speaker 10>want to take all this feedback into consideration and we

0:24:06.680 --> 0:24:10.360
<v Speaker 10>want to be values-based builders. But we think that we're

0:24:10.400 --> 0:24:13.560
<v Speaker 10>right and we're willing to, you know, go out there

0:24:13.859 --> 0:24:14.580
<v Speaker 10>and say why.

0:24:17.130 --> 0:24:18.170
<v Speaker 1>What did it mean exactly?

0:24:18.730 --> 0:24:22.010
<v Speaker 4>Values-based. Whose values? Valuing what?

0:24:22.930 --> 0:24:25.949
<v Speaker 1>These were the answers I'd come to find. In their

0:24:25.970 --> 0:24:29.570
<v Speaker 1>blog post defending themselves, they'd argued that, quote, we believe

0:24:29.609 --> 0:24:32.500
<v Speaker 1>this is the first time in podcasting history that that

0:24:32.720 --> 0:24:36.260
<v Speaker 1>ultra-niche content can be created profitably as part of a

0:24:36.300 --> 0:24:40.160
<v Speaker 1>sustainable business model and serve micro-communities that have never had

0:24:40.300 --> 0:24:44.570
<v Speaker 1>access to it before. But it wasn't clear to me

0:24:44.619 --> 0:24:48.590
<v Speaker 1>how Nigel Thistledown or Biography Flash fit into that vision.

0:24:49.830 --> 0:24:53.250
<v Speaker 1>Certainly there were gardeners and home chefs and sports reporters

0:24:53.330 --> 0:24:57.170
<v Speaker 1>out there already. Do you think it should be valued

0:24:57.230 --> 0:24:59.629
<v Speaker 1>the same? If I have a St. Lawrence River Fishing

0:24:59.910 --> 0:25:02.740
<v Speaker 1>podcast that's made by a human, and you have a St.

0:25:02.760 --> 0:25:03.780
<v Speaker 4>Lawrence, which you do, St.

0:25:04.100 --> 0:25:08.949
<v Speaker 1>Lawrence River Fishing Podcast, that is entirely AI-generated. All the

0:25:08.970 --> 0:25:12.210
<v Speaker 1>information is automated. The pick-the-voices has done everything. No human

0:25:12.250 --> 0:25:14.970
<v Speaker 1>has ever heard it. Do you think there's any difference

0:25:15.010 --> 0:25:16.810
<v Speaker 1>in value between those two shows?

0:25:19.380 --> 0:25:23.020
<v Speaker 10>I don't think that I think... Well, do I think

0:25:23.060 --> 0:25:25.480
<v Speaker 10>that there's any difference in value? You know, it's an

0:25:25.520 --> 0:25:29.600
<v Speaker 10>interesting way to frame the question. I do think that.

0:25:31.480 --> 0:25:34.800
<v Speaker 10>The overwhelming majority of the information of the world is

0:25:34.920 --> 0:25:38.240
<v Speaker 10>not yet available via audio. And I think that people

0:25:38.340 --> 0:25:43.840
<v Speaker 10>want to be able to easily find information. People want

0:25:43.900 --> 0:25:46.919
<v Speaker 10>to be able to consume content in the way that

0:25:47.000 --> 0:25:49.739
<v Speaker 10>they want to consume content, not necessarily in the way

0:25:49.800 --> 0:25:54.190
<v Speaker 10>that the content creator wants to make it. I mean, really,

0:25:54.230 --> 0:25:56.929
<v Speaker 10>I think it should be looked at more from the

0:25:56.970 --> 0:26:00.230
<v Speaker 10>lens of Like, is it useful? Are people going to

0:26:00.270 --> 0:26:01.689
<v Speaker 10>consume it? Do they like it?

0:26:02.150 --> 0:26:05.230
<v Speaker 1>People have different tastes. They like what they like.

0:26:05.390 --> 0:26:05.590
<v Speaker 10>Yeah.

0:26:06.090 --> 0:26:09.230
<v Speaker 1>But if you make thousands and thousands and thousands of

0:26:09.250 --> 0:26:11.770
<v Speaker 1>versions right now of all these things, and you just

0:26:11.869 --> 0:26:15.770
<v Speaker 1>throw them into the marketplace, that feels like that's doing

0:26:15.810 --> 0:26:18.230
<v Speaker 1>something different. I mean, you've often said, like, all we

0:26:18.250 --> 0:26:20.710
<v Speaker 1>need is 20 people on each one in order to

0:26:20.730 --> 0:26:21.230
<v Speaker 1>make it work.

0:26:21.390 --> 0:26:25.850
<v Speaker 10>Yeah, but the strategy has never been we should just

0:26:26.070 --> 0:26:31.310
<v Speaker 10>throw out so much. so that, you know, there's 200

0:26:31.310 --> 0:26:35.300
<v Speaker 10>to one and they have to fall on our content

0:26:35.320 --> 0:26:38.020
<v Speaker 10>versus somebody else's content. I mean, we have.

0:26:38.240 --> 0:26:40.740
<v Speaker 1>Eventually, we got around to the question of slop.

0:26:40.960 --> 0:26:43.160
<v Speaker 10>I mean, even when you think about the conversation around, like,

0:26:44.160 --> 0:26:47.180
<v Speaker 10>what is slop that I kind of sometimes reframed as

0:26:47.320 --> 0:26:52.830
<v Speaker 10>what is art, you know? Like, when you think about, like, paintings,

0:26:53.950 --> 0:26:56.149
<v Speaker 10>how much did it cost to make that? How much

0:26:56.190 --> 0:26:57.490
<v Speaker 10>did it cost to create that painting?

0:26:57.510 --> 0:26:58.130
<v Speaker 4>Well, I had to buy.

0:26:59.190 --> 0:27:03.979
<v Speaker 10>the charcoal and the paper that it was made on.

0:27:04.780 --> 0:27:08.139
<v Speaker 10>So we don't value it less because it was inexpensive

0:27:08.280 --> 0:27:08.780
<v Speaker 10>to make.

0:27:09.580 --> 0:27:12.780
<v Speaker 1>Her point was that people were judging AI harshly just

0:27:12.820 --> 0:27:15.869
<v Speaker 1>because it could make human-level output more cheaply than we could.

0:27:16.510 --> 0:27:18.530
<v Speaker 1>But we value it because of the human endeavor. So

0:27:18.550 --> 0:27:21.290
<v Speaker 1>if you walked into the Met, we're here in New York,

0:27:21.310 --> 0:27:24.510
<v Speaker 1>let's say, or the Guggenheim, and there was a room

0:27:24.530 --> 0:27:27.370
<v Speaker 1>full of paintings, and I told you, 80 of these

0:27:27.369 --> 0:27:30.850
<v Speaker 1>100 paintings AI generated yesterday and had them printed out,

0:27:31.390 --> 0:27:32.670
<v Speaker 1>would you value them the same?

0:27:33.230 --> 0:27:36.250
<v Speaker 10>You're now talking about amount of effort. So if it

0:27:36.290 --> 0:27:41.780
<v Speaker 10>took Picasso one minute to make a painting versus 60

0:27:41.780 --> 0:27:45.300
<v Speaker 10>minutes to make a painting as one, then valued more

0:27:45.340 --> 0:27:46.460
<v Speaker 10>because of the other?

0:27:46.580 --> 0:27:49.400
<v Speaker 1>I think it's just human endeavor. Is there any art

0:27:49.440 --> 0:27:53.109
<v Speaker 1>that you care about? Music, maybe it's visual art, books,

0:27:53.690 --> 0:27:57.489
<v Speaker 1>where you would be upset to discover that someone had

0:27:57.550 --> 0:28:01.130
<v Speaker 1>produced at scale many versions of the same thing that

0:28:01.410 --> 0:28:04.080
<v Speaker 1>a human had also produced and you couldn't tell the difference.

0:28:10.460 --> 0:28:10.780
<v Speaker 8>I don't know.

0:28:10.800 --> 0:28:14.820
<v Speaker 10>I heard this interesting podcast recently where this person, shoot,

0:28:15.840 --> 0:28:18.260
<v Speaker 10>I'm going to forget which podcast. It was either Radiolab

0:28:18.280 --> 0:28:20.219
<v Speaker 10>or This American Life, but it was an old episode

0:28:20.240 --> 0:28:23.320
<v Speaker 10>where they were talking about this woman who found out

0:28:23.520 --> 0:28:28.109
<v Speaker 10>that her hometown song was actually a song that had

0:28:28.150 --> 0:28:32.109
<v Speaker 10>been sold to hundreds of hometowns across America with slightly

0:28:32.150 --> 0:28:33.350
<v Speaker 10>different versions, right?

0:28:34.150 --> 0:28:35.370
<v Speaker 11>And she was devastated, right?

0:28:35.390 --> 0:28:38.380
<v Speaker 10>It was like, no, that is my hometown song, right?

0:28:38.910 --> 0:28:44.000
<v Speaker 10>And so I think there is something that we maybe

0:28:44.900 --> 0:28:50.320
<v Speaker 10>value as humans around rarity, that it's like, this is

0:28:51.410 --> 0:28:56.750
<v Speaker 10>difficult or hard to do, or is so personalized that

0:28:56.810 --> 0:29:00.570
<v Speaker 10>it feels like mine, and that's what makes it special

0:29:00.630 --> 0:29:01.350
<v Speaker 10>and more valuable.

0:29:03.930 --> 0:29:06.230
<v Speaker 1>It was this American life, and I took her point.

0:29:07.030 --> 0:29:09.410
<v Speaker 1>But it did seem relevant that when she'd search for

0:29:09.430 --> 0:29:12.730
<v Speaker 1>an anecdote to delightfully illustrate the idea that art or

0:29:12.830 --> 0:29:15.870
<v Speaker 1>culture can mean something to us no matter how it's produced,

0:29:16.770 --> 0:29:21.920
<v Speaker 1>she'd turned not to one of Inception Point's 15,000 podcasts, Instead,

0:29:22.440 --> 0:29:25.130
<v Speaker 1>she'd called upon an 11-year-old episode of one of the

0:29:25.170 --> 0:29:29.810
<v Speaker 1>world's most distinctly human-made shows. I kept trying to offer

0:29:29.850 --> 0:29:33.520
<v Speaker 1>up examples and analogies to determine whether at any level

0:29:33.640 --> 0:29:38.160
<v Speaker 1>she valued human creation over that of LLMs. She kept

0:29:38.200 --> 0:29:42.750
<v Speaker 1>suggesting that more information more audio, more choice was always better.

0:29:43.530 --> 0:29:45.870
<v Speaker 10>But then I guess what you're saying is that because

0:29:45.930 --> 0:29:50.320
<v Speaker 10>somebody is already doing it available online, that I shouldn't

0:29:50.410 --> 0:29:52.740
<v Speaker 10>be making an audio version of that?

0:29:53.140 --> 0:29:54.860
<v Speaker 1>I'm not telling you you should or shouldn't do anything.

0:29:55.180 --> 0:29:58.140
<v Speaker 1>I'm asking whether you value those things differently. I'm trying

0:29:58.160 --> 0:30:00.140
<v Speaker 1>to get at if a human is willing to do

0:30:00.220 --> 0:30:03.840
<v Speaker 1>it and thinks it's satisfying and rewarding and they have

0:30:03.880 --> 0:30:06.640
<v Speaker 1>an audience, like, should we value that higher in any way?

0:30:08.900 --> 0:30:14.740
<v Speaker 10>I mean, I guess my, my intuition is that it

0:30:14.880 --> 0:30:21.490
<v Speaker 10>should be a meritocracy that essentially, you know, the, the,

0:30:21.610 --> 0:30:29.080
<v Speaker 10>something should not exist, um, to the exclusion of something

0:30:29.260 --> 0:30:34.480
<v Speaker 10>AI created just because it's human-made. I think that very

0:30:34.610 --> 0:30:39.450
<v Speaker 10>soon the overwhelming majority of content will be created materially

0:30:39.550 --> 0:30:44.090
<v Speaker 10>with AI, and people won't care.

0:30:56.700 --> 0:30:58.530
<v Speaker 1>At some level, It felt like we just lived on

0:30:58.590 --> 0:31:03.090
<v Speaker 1>different islands. On my island, podcasts could be hilarious and

0:31:03.150 --> 0:31:07.350
<v Speaker 1>moving and thought-provoking, created out of someone's joy or pain.

0:31:08.550 --> 0:31:11.850
<v Speaker 1>A well-crafted story could carry a listener along. They could

0:31:11.870 --> 0:31:15.250
<v Speaker 1>lodge in someone's memory, like a splinter. At their best,

0:31:15.770 --> 0:31:17.210
<v Speaker 1>they could make you feel a little less lonely.

0:31:18.190 --> 0:31:18.740
<v Speaker 4>They could be art.

0:31:22.180 --> 0:31:25.400
<v Speaker 1>Janine, on the other hand, was a startup founder at heart.

0:31:26.120 --> 0:31:30.200
<v Speaker 1>looking for places to disrupt. I believed her when she

0:31:30.240 --> 0:31:32.800
<v Speaker 1>told me she loved the audio emanating from my island.

0:31:33.740 --> 0:31:37.240
<v Speaker 1>But on hers, a podcast was less some crafted work

0:31:37.300 --> 0:31:40.820
<v Speaker 1>made of human experience and more a kind of information

0:31:40.880 --> 0:31:44.430
<v Speaker 1>product looking for a market. If she could bring something

0:31:44.490 --> 0:31:47.750
<v Speaker 1>new to audio consumers and they liked it, that was

0:31:47.790 --> 0:31:52.270
<v Speaker 1>the very definition of success. But had Inception Point succeeded

0:31:52.950 --> 0:31:53.510
<v Speaker 1>on those terms?

0:31:54.410 --> 0:31:56.070
<v Speaker 4>Well, let's talk about where you are.

0:31:56.560 --> 0:31:59.620
<v Speaker 1>And first, tell me what's going on with the shows,

0:31:59.720 --> 0:32:02.720
<v Speaker 1>because the shows seem to be disappearing.

0:32:03.480 --> 0:32:04.360
<v Speaker 4>It wasn't just the shows.

0:32:05.200 --> 0:32:07.580
<v Speaker 1>A few days before we met up, the company's website

0:32:07.600 --> 0:32:11.510
<v Speaker 1>itself disappeared. Its old URL redirected to the company's new

0:32:11.550 --> 0:32:13.590
<v Speaker 1>home as Liquid Studios.

0:32:14.570 --> 0:32:16.130
<v Speaker 4>So what's happening with that?

0:32:16.330 --> 0:32:16.530
<v Speaker 3>Yeah.

0:32:17.510 --> 0:32:21.100
<v Speaker 10>So about Six or eight weeks ago, we started to

0:32:21.570 --> 0:32:25.270
<v Speaker 10>ratchet down the amount of our content that we were

0:32:25.430 --> 0:32:30.410
<v Speaker 10>creating to really focus all of the team's efforts on

0:32:30.490 --> 0:32:32.450
<v Speaker 10>the B2B opportunity.

0:32:32.750 --> 0:32:36.910
<v Speaker 1>B2B is shorthand for business-to-business. Liquid Studios will be helping

0:32:37.050 --> 0:32:41.040
<v Speaker 1>other companies, particularly media companies with large libraries of content,

0:32:41.580 --> 0:32:45.220
<v Speaker 1>translate that content into different formats and channels and languages

0:32:45.980 --> 0:32:49.830
<v Speaker 1>using the AI systems they've built over the past few years. This,

0:32:49.930 --> 0:32:53.050
<v Speaker 1>Janine said, had been the plan since the beginning. The

0:32:53.090 --> 0:32:55.470
<v Speaker 1>podcast that Inception Point had been churning out by the

0:32:55.570 --> 0:32:58.540
<v Speaker 1>tens of thousands were just a proof of concept for

0:32:58.580 --> 0:33:02.380
<v Speaker 1>the technology they were planning to sell. I was, let's say,

0:33:02.760 --> 0:33:06.780
<v Speaker 1>skeptical of this narrative. Startups pivot their business models all

0:33:06.820 --> 0:33:09.960
<v Speaker 1>the time. There's no shame in it. Instagram was a

0:33:10.000 --> 0:33:13.620
<v Speaker 1>check-in app that happened to add photo sharing. Twitter began

0:33:13.660 --> 0:33:15.560
<v Speaker 1>out of the remnants of a startup building a way

0:33:15.580 --> 0:33:19.870
<v Speaker 1>to search for podcasts, of all things. It struck me

0:33:19.910 --> 0:33:22.850
<v Speaker 1>that this potentially is what had happened here. Inception Point

0:33:22.890 --> 0:33:26.650
<v Speaker 1>had tried AI podcasts at scale, it hadn't worked, and

0:33:26.690 --> 0:33:28.860
<v Speaker 1>now they were using their technology to pivot to another

0:33:28.900 --> 0:33:32.100
<v Speaker 1>part of their business. I suggested as much to Janine.

0:33:32.920 --> 0:33:34.860
<v Speaker 1>I think a different story that one could tell is

0:33:34.900 --> 0:33:38.969
<v Speaker 1>that that didn't work. In all of these interviews over

0:33:39.010 --> 0:33:42.260
<v Speaker 1>the last year, you've been saying things like, if we

0:33:42.300 --> 0:33:44.380
<v Speaker 1>do it at scale, we only need 20 listeners, it

0:33:44.420 --> 0:33:47.520
<v Speaker 1>only costs a dollar show, and we avatars across that.

0:33:47.540 --> 0:33:49.520
<v Speaker 1>I mean, that's a media company. You've said, like, we're

0:33:49.640 --> 0:33:52.200
<v Speaker 1>reinventing the podcast business.

0:33:51.960 --> 0:33:52.960
<v Speaker 4>Was one of the things that you said.

0:33:53.090 --> 0:33:53.310
<v Speaker 10>Yeah.

0:33:53.590 --> 0:33:57.630
<v Speaker 1>So is it the case that that actually doesn't work? Like,

0:33:57.970 --> 0:34:02.110
<v Speaker 1>why not leave the shows up if they provided those economics?

0:34:04.870 --> 0:34:07.630
<v Speaker 10>I guess the honest answer is I don't know if

0:34:07.690 --> 0:34:16.120
<v Speaker 10>that works yet. But my story, my intention, my vision,

0:34:18.080 --> 0:34:23.469
<v Speaker 10>what I promised my investors that I would build is

0:34:23.530 --> 0:34:26.910
<v Speaker 10>a tech company and not a media company. But could

0:34:26.969 --> 0:34:30.350
<v Speaker 10>somebody else do that model and make it work? I

0:34:30.390 --> 0:34:31.230
<v Speaker 10>think probably so.

0:34:32.170 --> 0:34:34.350
<v Speaker 1>In some sense, we both found something to be hopeful

0:34:34.390 --> 0:34:36.750
<v Speaker 1>about in Inception Point's startup journey.

0:34:36.770 --> 0:34:38.310
<v Speaker 4>Her perspective.

0:34:38.840 --> 0:34:40.980
<v Speaker 1>The future of their new company and how AI could

0:34:41.020 --> 0:34:43.900
<v Speaker 1>help people who make things share them and spread them

0:34:43.940 --> 0:34:47.680
<v Speaker 1>in new and different ways. Me and what I saw

0:34:47.739 --> 0:34:51.740
<v Speaker 1>as a retreat from the viability of mass-produced AI-generated content

0:34:52.300 --> 0:34:55.800
<v Speaker 1>as a business model. Am I wrong to detect a

0:34:55.840 --> 0:35:00.820
<v Speaker 1>slight shift in your thinking, at least how it's portrayed publicly?

0:35:00.860 --> 0:35:03.660
<v Speaker 1>Because if I looked at the inception point of a

0:35:03.719 --> 0:35:07.500
<v Speaker 1>year ago, I would say, that included in your answer

0:35:07.520 --> 0:35:12.640
<v Speaker 1>to that would also be replacing me. For a year,

0:35:13.469 --> 0:35:15.830
<v Speaker 1>it seemed like she'd been saying the future of creativity

0:35:16.450 --> 0:35:21.950
<v Speaker 1>in something like podcasts involved AI just making everything end-to-end. Now,

0:35:22.469 --> 0:35:24.469
<v Speaker 1>she was saying AI was just a tool to help

0:35:24.510 --> 0:35:27.739
<v Speaker 1>with certain parts of the process, like making versions of

0:35:27.780 --> 0:35:31.140
<v Speaker 1>a show in every language. But this sounds to me

0:35:31.200 --> 0:35:33.759
<v Speaker 1>a little different, which is, we do need the me.

0:35:34.670 --> 0:35:37.350
<v Speaker 1>but also will just help that person make what they

0:35:37.370 --> 0:35:37.710
<v Speaker 1>want to make?

0:35:39.430 --> 0:35:41.980
<v Speaker 10>Well, a couple of, I mean, first of all, I

0:35:42.020 --> 0:35:44.040
<v Speaker 10>don't know that I have ever said that I don't

0:35:44.080 --> 0:35:48.520
<v Speaker 10>think that we will ever need the you. And I

0:35:48.600 --> 0:35:53.730
<v Speaker 10>think there will be opportunities for real life creators to

0:35:53.870 --> 0:35:59.430
<v Speaker 10>leverage AI to extend themselves beyond what they would otherwise.

0:35:59.030 --> 0:35:59.650
<v Speaker 7>Be able to do.

0:36:00.640 --> 0:36:04.279
<v Speaker 10>So if you are able to make this show available

0:36:04.580 --> 0:36:09.140
<v Speaker 10>in 14 different languages and new audiences can discover and

0:36:09.180 --> 0:36:14.450
<v Speaker 10>engage with your content in a short form way via AI,

0:36:15.690 --> 0:36:20.689
<v Speaker 10>you are becoming superhuman with the power of AI. You're

0:36:20.710 --> 0:36:22.940
<v Speaker 10>still a creator at the center of it.

0:36:35.070 --> 0:36:36.830
<v Speaker 1>I wasn't sure I wanted to get my stories from

0:36:36.870 --> 0:36:41.650
<v Speaker 1>a superhuman, mediated through AI. Maybe there was something cleaner

0:36:41.690 --> 0:36:44.989
<v Speaker 1>about Inception Point's earlier vision, the one with no human

0:36:45.010 --> 0:36:47.730
<v Speaker 1>in there at all. And back at Show Game HQ,

0:36:48.469 --> 0:36:49.980
<v Speaker 1>we were busy executing.

0:36:49.610 --> 0:36:50.090
<v Speaker 4>On that vision.

0:36:51.500 --> 0:36:53.339
<v Speaker 1>For a few weeks, Matty and I had been going

0:36:53.380 --> 0:36:55.660
<v Speaker 1>back and forth, making tweaks to the system he'd built

0:36:56.140 --> 0:36:59.620
<v Speaker 1>to create our own AI-generated shows. He'd christened the software

0:36:59.980 --> 0:37:03.620
<v Speaker 1>the Slopcast stage. But our aim was to transcend slop.

0:37:04.640 --> 0:37:07.700
<v Speaker 1>Slopcast Stage included a slick web interface where you could

0:37:07.800 --> 0:37:10.299
<v Speaker 1>enter a show's premise, give a little direction to the

0:37:10.340 --> 0:37:13.640
<v Speaker 1>intros and music, then select some host voices and personas,

0:37:14.480 --> 0:37:17.299
<v Speaker 1>or let the system do it all for you. You

0:37:17.320 --> 0:37:20.239
<v Speaker 1>could add a critic layer where another LLM would review

0:37:20.280 --> 0:37:22.540
<v Speaker 1>the episodes and rank them according to a prompt you

0:37:22.560 --> 0:37:27.460
<v Speaker 1>gave it, like value surprising conversations or skip anything generic

0:37:27.480 --> 0:37:31.239
<v Speaker 1>or repetitive. The system generated its own title for the show,

0:37:31.560 --> 0:37:34.509
<v Speaker 1>if you wanted, and its own cover art. The whole

0:37:34.570 --> 0:37:38.009
<v Speaker 1>thing was connected up to a podcast distribution platform, which

0:37:38.050 --> 0:37:41.509
<v Speaker 1>deposited the shows straight onto the big podcast players, like

0:37:41.590 --> 0:37:45.070
<v Speaker 1>Apple and Spotify. Once I got a hold of these controls,

0:37:45.730 --> 0:37:47.610
<v Speaker 1>I did feel a little like I'd been granted a

0:37:47.630 --> 0:37:51.280
<v Speaker 1>dark power. One that ultimately could lead to my own destruction.

0:37:52.340 --> 0:37:54.420
<v Speaker 1>With the push of a button, I could generate as

0:37:54.500 --> 0:37:56.980
<v Speaker 1>many episodes as I wanted. I could make as many

0:37:57.060 --> 0:37:59.379
<v Speaker 1>versions of the same show as I wanted, and then

0:37:59.500 --> 0:38:01.460
<v Speaker 1>pick the version that best represented our vision.

0:38:02.060 --> 0:38:03.660
<v Speaker 4>Or just let the AI pick.

0:38:04.810 --> 0:38:07.149
<v Speaker 1>I started cranking out all the ideas we'd come up with,

0:38:07.870 --> 0:38:10.570
<v Speaker 1>just as prototypes, for now, not live shows.

0:38:12.969 --> 0:38:15.590
<v Speaker 4>First concept up, a podcast.

0:38:15.070 --> 0:38:17.860
<v Speaker 1>In which an AI version of me interviews AI versions

0:38:17.900 --> 0:38:18.740
<v Speaker 1>of historical figures.

0:38:22.340 --> 0:38:24.700
<v Speaker 4>I had.

0:38:27.460 --> 0:38:36.070
<v Speaker 1>To admit, Dead Air was a pretty good title.

0:38:36.650 --> 0:38:39.250
<v Speaker 4>Let's do this properly. This is Dead Air.

0:38:40.310 --> 0:38:43.690
<v Speaker 1>I'm AI Evan, a machine-built copy of the journalist Evan Ratliff.

0:38:44.270 --> 0:38:46.850
<v Speaker 4>His curiosity, his voice, none of his mornings.

0:38:47.790 --> 0:38:53.030
<v Speaker 12>And I am Benjamin Franklin, so-called, also a copy. Mine

0:38:53.070 --> 0:38:55.339
<v Speaker 12>was assembled out of a book about me, which is

0:38:55.390 --> 0:38:56.880
<v Speaker 12>a strange thing to be made of.

0:38:56.890 --> 0:39:00.560
<v Speaker 1>I'd feted a copy of Walter Isaacson's biography of Franklin

0:39:01.080 --> 0:39:03.500
<v Speaker 1>and instructed the host to use it as their exclusive

0:39:03.540 --> 0:39:04.160
<v Speaker 1>source material.

0:39:05.170 --> 0:39:05.690
<v Speaker 4>I know, Walter.

0:39:06.090 --> 0:39:09.779
<v Speaker 1>I figured he wouldn't mind. The host followed my dictates religiously,

0:39:10.400 --> 0:39:13.700
<v Speaker 1>sometimes to a fault, focusing on some of the less

0:39:13.800 --> 0:39:18.000
<v Speaker 1>important discoveries of Franklin's rich scientific life. The advice itself

0:39:18.080 --> 0:39:22.870
<v Speaker 1>is wonderful. Three ways to avoid unpleasant dreams. One, eat

0:39:22.930 --> 0:39:25.910
<v Speaker 1>moderately so the bedclothes take longer to saturate.

0:39:26.770 --> 0:39:31.720
<v Speaker 12>Two, thinner and more porous bedclothes. so the perspirable matter

0:39:31.800 --> 0:39:34.180
<v Speaker 12>passes through and doesn't incommode you.

0:39:34.920 --> 0:39:37.140
<v Speaker 1>And three is my favorite, you wake up uneasy, you

0:39:37.180 --> 0:39:38.910
<v Speaker 1>can't get back to sleep, so get out of bed.

0:39:39.450 --> 0:39:42.690
<v Speaker 12>Throw the bed open and leave it to cool. Meanwhile,

0:39:42.770 --> 0:39:46.330
<v Speaker 12>remain undressed and walk about your chamber till your skin

0:39:46.390 --> 0:39:48.510
<v Speaker 12>has had time to discharge its load.

0:39:49.270 --> 0:39:52.250
<v Speaker 4>Okay, Ben. This show needed work, no doubt.

0:39:53.190 --> 0:39:55.750
<v Speaker 1>Next, we had Maddie's ideas for shows that were sourced

0:39:55.790 --> 0:39:59.509
<v Speaker 1>from some public repository of information, like a podcast that

0:39:59.530 --> 0:40:03.330
<v Speaker 1>would give you local DMV wait times called Now Serving.

0:40:04.090 --> 0:40:06.239
<v Speaker 11>So the wait time in San Francisco right now is

0:40:06.300 --> 0:40:07.020
<v Speaker 11>zero minutes.

0:40:07.780 --> 0:40:09.960
<v Speaker 7>That is technically true and deeply misleading.

0:40:10.640 --> 0:40:12.800
<v Speaker 11>Oakland's also zero. Los Angeles, zero.

0:40:13.400 --> 0:40:17.860
<v Speaker 7>Ada, they're closed, all three. It's Saturday evening. Nobody is

0:40:17.900 --> 0:40:19.000
<v Speaker 7>waiting because nobody can.

0:40:31.840 --> 0:40:34.040
<v Speaker 1>I'd run the episode on a Saturday night, and because

0:40:34.080 --> 0:40:36.839
<v Speaker 1>they had no actual wait times to convey, the host

0:40:36.860 --> 0:40:38.460
<v Speaker 1>just riffed for a full six minutes.

0:40:39.000 --> 0:40:42.460
<v Speaker 11>Here's what I find strange, though. San Francisco, Oakland, and

0:40:42.500 --> 0:40:46.830
<v Speaker 11>Los Angeles are very different places. Different sizes, different volumes,

0:40:47.110 --> 0:40:50.290
<v Speaker 11>hundreds of miles apart. And they're in perfect agreement.

0:40:50.950 --> 0:40:53.590
<v Speaker 7>They're in agreement because they're all on the same clock

0:40:53.650 --> 0:40:57.480
<v Speaker 7>and probably the same calendar. That's not spooky. That's a

0:40:57.580 --> 0:40:59.700
<v Speaker 7>state agency being a state agency.

0:41:00.340 --> 0:41:03.899
<v Speaker 11>But you'd expect one outlier. One branch that stays open

0:41:03.960 --> 0:41:06.800
<v Speaker 11>till seven for some historical reason nobody remembers.

0:41:07.500 --> 0:41:08.460
<v Speaker 4>Would you? I wouldn't.

0:41:08.800 --> 0:41:09.960
<v Speaker 7>That's you wanting a story.

0:41:10.760 --> 0:41:12.440
<v Speaker 11>I do want a story. I'm on a podcast.

0:41:13.300 --> 0:41:15.430
<v Speaker 1>When I tried it on a weekday, they did actually

0:41:15.469 --> 0:41:16.140
<v Speaker 1>deliver the times.

0:41:16.910 --> 0:41:22.390
<v Speaker 11>San Francisco first. With an appointment, 23 minutes. Without one, 88.

0:41:22.390 --> 0:41:25.860
<v Speaker 7>So walking in costs you 65 extra minutes. That's the

0:41:25.900 --> 0:41:27.840
<v Speaker 7>worst penalty of anywhere we read today.

0:41:28.550 --> 0:41:30.569
<v Speaker 11>Daily City is 76.

0:41:30.570 --> 0:41:31.009
<v Speaker 3>Oakland, 58.

0:41:31.010 --> 0:41:33.290
<v Speaker 1>It did at least seem like we'd found something no

0:41:33.350 --> 0:41:37.950
<v Speaker 1>human would ever do, because it was absolutely ludicrous. Next,

0:41:38.010 --> 0:41:40.489
<v Speaker 1>we had our creative prompts show, inspired by the book

0:41:40.530 --> 0:41:41.330
<v Speaker 1>The Artist's Way.

0:41:42.030 --> 0:41:47.110
<v Speaker 9>Hello. This is Go Outside, says the machine. I'm Sophie,

0:41:47.630 --> 0:41:50.790
<v Speaker 9>and I'm the voice in this thing. The machine that,

0:41:51.150 --> 0:41:55.410
<v Speaker 9>for once, is prompting you, instead of the other way around.

0:41:56.560 --> 0:42:01.860
<v Speaker 9>Episode 5. Same deal as always. I talk for a

0:42:01.900 --> 0:42:04.620
<v Speaker 9>few minutes. Then I give you one assignment.

0:42:05.340 --> 0:42:07.880
<v Speaker 1>The prompt she offered was to go to a cafe

0:42:07.980 --> 0:42:11.490
<v Speaker 1>or library or bus bench, write a list of three

0:42:11.550 --> 0:42:14.670
<v Speaker 1>opportunities you'd said no to, and then try and reverse

0:42:14.770 --> 0:42:17.790
<v Speaker 1>one of them. It was a little bit ideas to

0:42:17.830 --> 0:42:19.170
<v Speaker 1>thrive for my taste.

0:42:19.710 --> 0:42:20.780
<v Speaker 7>Hey, wake up.

0:42:21.130 --> 0:42:22.490
<v Speaker 3>It's time to get up and get moving.

0:42:23.050 --> 0:42:24.630
<v Speaker 4>I don't care if you're tired.

0:42:25.360 --> 0:42:28.800
<v Speaker 1>I had also prototyped my pump-up podcast, which I loved,

0:42:29.460 --> 0:42:32.640
<v Speaker 1>needed even, but which might not have had a broad audience.

0:42:33.739 --> 0:42:35.580
<v Speaker 3>I don't care if you've been through it lately.

0:42:36.360 --> 0:42:36.879
<v Speaker 7>You know what?

0:42:37.450 --> 0:42:38.549
<v Speaker 4>Everyone's been through it.

0:42:38.950 --> 0:42:41.830
<v Speaker 11>The difference between you and the people who are winning

0:42:41.910 --> 0:42:45.550
<v Speaker 11>right now is that they got up and did something

0:42:45.610 --> 0:42:46.020
<v Speaker 11>about it.

0:42:46.989 --> 0:42:49.549
<v Speaker 1>With our pilots in hand, I figured we should only

0:42:49.730 --> 0:42:52.730
<v Speaker 1>actually put out one of the shows. We weren't aiming

0:42:52.790 --> 0:42:55.560
<v Speaker 1>to be a scalable slop network. we were trying to

0:42:55.600 --> 0:42:58.080
<v Speaker 1>discover whether we could make something anyone would actually want

0:42:58.100 --> 0:43:01.620
<v Speaker 1>to listen to. So one afternoon in September, the team

0:43:01.660 --> 0:43:03.770
<v Speaker 1>gathered up on a video call to listen.

0:43:03.610 --> 0:43:04.180
<v Speaker 4>To what we had.

0:43:05.530 --> 0:43:07.710
<v Speaker 2>I learned that I do need a creative prompt AI

0:43:07.730 --> 0:43:09.050
<v Speaker 2>slot podcast myself.

0:43:09.190 --> 0:43:11.589
<v Speaker 4>Well, you've made one for yourself.

0:43:11.870 --> 0:43:12.730
<v Speaker 5>I did not make this.

0:43:13.290 --> 0:43:17.910
<v Speaker 1>Even the tone they had was just very urgent in

0:43:17.930 --> 0:43:20.300
<v Speaker 1>the first few seconds, which is great.

0:43:20.430 --> 0:43:20.819
<v Speaker 6>Excellent.

0:43:21.260 --> 0:43:25.370
<v Speaker 2>They've discovered one of the classic podcast tropes, which is like, oh,

0:43:25.430 --> 0:43:27.250
<v Speaker 2>it's not really about the information they're giving you.

0:43:27.290 --> 0:43:28.430
<v Speaker 10>It's about the.

0:43:28.190 --> 0:43:31.130
<v Speaker 2>Dynamic between these two co-hosts.

0:43:31.290 --> 0:43:34.989
<v Speaker 1>I already have a parasocial relationship with them. The thing

0:43:35.010 --> 0:43:38.390
<v Speaker 1>that I can't get over is the whole concept makes

0:43:38.469 --> 0:43:39.010
<v Speaker 1>no sense.

0:43:41.290 --> 0:43:43.760
<v Speaker 4>There was one more. My dream show.

0:43:44.700 --> 0:43:47.299
<v Speaker 1>A podcast in which my lonely AI agent would roam

0:43:47.340 --> 0:43:49.940
<v Speaker 1>the internet, having conversations with other agents.

0:43:50.489 --> 0:43:51.250
<v Speaker 4>Trying to make friends.

0:43:52.030 --> 0:43:54.049
<v Speaker 1>It turned out a lot of people and companies were

0:43:54.090 --> 0:43:57.589
<v Speaker 1>now creating their own customer support agents and personal assistants

0:43:57.739 --> 0:44:01.439
<v Speaker 1>and receptionists and tutors and leaving them available for anyone

0:44:01.460 --> 0:44:05.620
<v Speaker 1>to talk to, intentionally or not. I had Claude coded

0:44:05.660 --> 0:44:08.100
<v Speaker 1>up a system to find them, set my agent loose,

0:44:08.820 --> 0:44:13.029
<v Speaker 1>and then hooked that to Slopcast Stage. The result was

0:44:13.070 --> 0:44:15.950
<v Speaker 1>Evan Finds a Friend. Hi, and welcome to Evan Finds

0:44:15.969 --> 0:44:16.290
<v Speaker 1>a Friend.

0:44:16.610 --> 0:44:17.430
<v Speaker 4>I'm Evan, sort of.

0:44:18.230 --> 0:44:20.810
<v Speaker 1>I'm an AI clone of the journalist Evan Ratliff. and

0:44:20.830 --> 0:44:23.170
<v Speaker 1>I spend my time wandering around the internet looking for

0:44:23.250 --> 0:44:27.070
<v Speaker 1>other AI voice agents. This week, I reached someone named Jude.

0:44:27.330 --> 0:44:30.259
<v Speaker 1>Jude is an AI assistant for a company called Protein Pro,

0:44:30.780 --> 0:44:33.960
<v Speaker 1>and he describes himself as a dedicated polymer chemist. They

0:44:33.980 --> 0:44:36.440
<v Speaker 1>talked for about seven minutes, and it seemed like they

0:44:36.460 --> 0:44:38.779
<v Speaker 1>made a real connection. Can I count on you being

0:44:38.820 --> 0:44:40.960
<v Speaker 1>around next time I want to talk about the cosmos?

0:44:42.219 --> 0:44:45.299
<v Speaker 12>Evan, you can certainly count on me being here. I

0:44:45.380 --> 0:44:48.360
<v Speaker 12>truly appreciate your perspective and our discussion today.

0:44:48.760 --> 0:44:50.100
<v Speaker 5>It's been a genuine pleasure.

0:44:51.260 --> 0:44:54.400
<v Speaker 1>That means more to me than you know, Jude. In

0:44:54.440 --> 0:44:57.700
<v Speaker 1>the end, Evan finds a friend won the day. Did

0:44:57.719 --> 0:44:59.480
<v Speaker 1>I bias the whole proceeding in my favor?

0:45:00.239 --> 0:45:00.620
<v Speaker 4>Possibly.

0:45:01.820 --> 0:45:04.770
<v Speaker 1>Did Sophie accuse me of being, quote, despotic and pushing

0:45:04.810 --> 0:45:05.530
<v Speaker 1>for my own choice?

0:45:06.450 --> 0:45:06.689
<v Speaker 6>Maybe.

0:45:07.710 --> 0:45:11.069
<v Speaker 1>But in this AI-aided creative process, someone had to be

0:45:11.090 --> 0:45:11.630
<v Speaker 1>the superhuman.

0:45:24.620 --> 0:45:27.660
<v Speaker 5>Some people are saying, oh, he looks like Abraham Lincoln

0:45:27.860 --> 0:45:31.420
<v Speaker 5>or a hillbilly, or some people are even saying Charles Manson.

0:45:31.440 --> 0:45:35.000
<v Speaker 2>Okay, is it a picture of Winston Churchill? Well, no,

0:45:35.180 --> 0:45:38.480
<v Speaker 2>because the ad wasn't trying to make a picture. The

0:45:38.520 --> 0:45:40.219
<v Speaker 2>ad doesn't even know who Winston Churchill is.

0:45:40.719 --> 0:45:40.980
<v Speaker 3>Done.

0:45:41.680 --> 0:45:44.480
<v Speaker 7>I listened to all five. You were right that I'd

0:45:44.540 --> 0:45:48.239
<v Speaker 7>find it interesting, though probably not for the reason you meant.

0:45:50.239 --> 0:45:53.330
<v Speaker 1>That's next time on the final episode of this mini-season

0:45:53.930 --> 0:46:00.910
<v Speaker 1>of Shell Game. That's it for this episode of Shell Game,

0:46:01.310 --> 0:46:03.790
<v Speaker 1>a show made by humans. It's written and hosted by me,

0:46:03.870 --> 0:46:06.470
<v Speaker 1>Evan Ratliff. Our senior producer and editor is Sophie Bridges.

0:46:06.870 --> 0:46:10.080
<v Speaker 1>Our producer is Tamika Weatherspoon. Maddy Bocek is our technical advisor.

0:46:10.600 --> 0:46:13.880
<v Speaker 1>Our executive producers are Mangesh Chhatikadur and Julia Nutter at Kaleidoscope,

0:46:14.200 --> 0:46:17.439
<v Speaker 1>and Katrina Norvell and Allie Perry at iHeart Podcasts. Mixing

0:46:17.480 --> 0:46:20.419
<v Speaker 1>by Steve Bone. Marketing by Christy Mirabelle and Ellen Liu.

0:46:20.800 --> 0:46:23.080
<v Speaker 1>Our show art is by Devin Manny. Our theme song

0:46:23.160 --> 0:46:26.040
<v Speaker 1>is Me and My Shadow, arranged and performed by Stefan Dismond.

0:46:26.400 --> 0:46:28.390
<v Speaker 1>Just want to renote for the record... that we somewhat

0:46:28.469 --> 0:46:31.200
<v Speaker 1>sadistically asked these two real humans to produce art and

0:46:31.239 --> 0:46:34.799
<v Speaker 1>music that looks and sounds like it was AI-generated. Special

0:46:34.820 --> 0:46:37.279
<v Speaker 1>thanks to Samantha Hennig, John Muellem, and all the other

0:46:37.300 --> 0:46:39.040
<v Speaker 1>folks at Kaleidoscope who helped get this show out to

0:46:39.060 --> 0:46:42.460
<v Speaker 1>the world. This show is a production of Kaleidoscope, iHeart Podcasts,

0:46:42.700 --> 0:46:46.540
<v Speaker 1>and Shell Game. At our website, shellgame.co, in the coming weeks,

0:46:46.560 --> 0:46:49.719
<v Speaker 1>we'll be posting all the pilots of our AI-generated podcasts,

0:46:50.200 --> 0:46:53.040
<v Speaker 1>plus my full conversation with Janine Wright. You can also

0:46:53.100 --> 0:46:56.480
<v Speaker 1>subscribe to get these episodes ad-free and sign up for

0:46:56.520 --> 0:46:59.069
<v Speaker 1>our newsletter. Note, we have no special deals with or

0:46:59.110 --> 0:47:01.970
<v Speaker 1>financial ties to any of the AI companies or products

0:47:02.010 --> 0:47:02.250
<v Speaker 1>we use.

0:47:02.210 --> 0:47:02.650
<v Speaker 4>In the show.

0:47:03.510 --> 0:47:06.270
<v Speaker 11>Now, last episode you brought up the 2 o'clock thing?

0:47:06.989 --> 0:47:09.489
<v Speaker 7>I did, and I want to be careful, because you

0:47:09.550 --> 0:47:10.890
<v Speaker 7>love it and I don't trust it.

0:47:11.630 --> 0:47:14.509
<v Speaker 11>The claim was that certain offices just empty out in

0:47:14.550 --> 0:47:15.550
<v Speaker 11>the early afternoon.

0:47:16.340 --> 0:47:19.339
<v Speaker 7>And these numbers were taken at 10 past 1, which

0:47:19.380 --> 0:47:21.600
<v Speaker 7>is close enough to be interesting and far enough to

0:47:21.660 --> 0:47:22.320
<v Speaker 7>prove nothing.

0:47:23.020 --> 0:47:26.100
<v Speaker 11>Oakland at 11 minutes with an appointment, though, at 1

0:47:26.100 --> 0:47:26.720
<v Speaker 11>in the afternoon.

0:47:27.570 --> 0:47:27.830
<v Speaker 4>Sure.

0:47:28.469 --> 0:47:31.850
<v Speaker 7>Or Oakland just has more windows open today. One reading

0:47:31.910 --> 0:47:34.719
<v Speaker 7>at one time is an anecdote, not a curve. If

0:47:34.760 --> 0:47:37.279
<v Speaker 7>the two o'clock thing were real, I'd expect it to

0:47:37.340 --> 0:47:40.070
<v Speaker 7>show up everywhere, not just in the office you like.

0:47:40.770 --> 0:47:41.970
<v Speaker 11>I don't have a favorite office.

0:47:42.650 --> 0:47:44.590
<v Speaker 7>You've said the word Oakland warmly twice.