Latent Space / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
30 published records
01 / evaluation
“I think the fact that, so obviously we do the Hacker News recap. The fact that we did that, and that it is daily actually just helped us reach that top 30 tech podcast”
02 / belief
“Surprising because I think of it as like a U. S. defense company. Then you started Moonshot for nine months, which is pretty important in your journey.”
03 / recommendation
“I'll tell you about one more that, one more daily not daily, but frequent AI generated podcast that I listen to, apart from you guys, which is PapersRed.”
04 / prediction
“All around the world, millions of people are tuning in. Intrigued to know where club life will take them now.”
05 / belief
“We are like, yeah, at the moment we're really good at like doing this narration stuff, but I think we're, we are building a lot of functionality and tooling to just make this kind of this like multi host thing a more of a reality.”
06 / belief
“I think like what we're doing is we The use cases are slightly different, right, and I think the people that they're targeting are slightly different.”
07 / belief
“Um, I can accept that one, but like, that's not why I would say Facebook is like a giant business.”
08 / belief
“Obviously, if you, if you want to just write the script yourself, you can write the script yourself. But most, I think most of your users would generate a script.”
09 / belief
“The ingest, yeah, okay, got it. And I just want to map out, here's how I think about TTS, text to speech.”
10 / belief
“I think the thing that's, this is blocking out, is like the standard. I'm not super up to date on like what the, what the work on this is.”
11 / uncertainty
“Still a little bit noisier, so I don't know if you know, I have, I was a moderator of the React Reddit for four years.”
12 / uncertainty
“If you can imagine a world in which like. I don't know how to call them, like Calm or Headspace or any of these things.”
13 / observation
“We flew all the way to London to interview Youssef Rizk, cofounder of Wondercraft AI, which has created the number 1 piece of AI generated content enjoyed by the Latent Space community!”
14 / belief
“I think if you're like, you know, maybe you're a brand new TTS company, maybe it is worth just doing that.”
15 / belief
“I am a newsletter writer, and I clicked around and wanted to basically just chuck my RSS feed in there, and I think I gave that feedback exactly to you guys like four months ago, or three months ago, and it looks like you've already shipped it.”
16 / belief
“I think the problem with all these voice things and generally a lot of the as stuff is it is somewhat random.”
17 / belief
“I think we, so we do that to some extent and like we produce like chapters, I guess.”
18 / belief
“Started eating. Then, uh, 10 minutes later, I realized it was the middle of the night.”
19 / belief
“You're like, I can tell you I dub, but I'm going to tell you that. I think there's a lot of big podcast studios who have tried this before.”
20 / evaluation
“One of the most common types of advice we give at Y Combinator is to do things that don't scale.”
21 / recommendation
“No, what is your favorite, like, PG advice in building a company, right? I think that my favorite thing is just like, don't spend your money foolishly.”
22 / evaluation
“Yeah, so part of the job was a solutions architect, part of the job was reviewing contracts, part of the job was doing sales, part of the job was coding things, part of the job was interacting with, right? So, so many different things and I think that is a really good foundation for someone who does want to start something in the future.”
23 / evaluation
“Your Hacker News stuff is very high signal because obviously you're folding, right?”
24 / prediction
“Like anyway, so, Basically, I think if you disclose up front that you're an AI podcast, then people will be like, Oh, okay, I tolerate that mistake and I use you for information and not for believing that there's some human on the other side that I might meet someday.”
25 / preference
“You have a bunch of options that I clicked. And in my mind, I like a deep voice.”
26 / evaluation
“I listen to 'em all the time 'cause I, well first of all, I actually think they're pretty well produced.”
27 / prediction
“I think, don't quote me on this again, like, I don't know who actually knows the internet, but like, 60 percent of the internet is in English.”
28 / observation
“I think there's actually, at this point, there's a few YouTube channels at this point that are all based on synthetic voices.”
29 / recommendation
“Producing content in one format and then taking that to all the other formats. So we built that, we built the podcast builder, super quick prototype because I think at this point, to anyone pivoting or hard pivoting or considering it The name of the game isn't like to get attached to your idea.”
30 / evaluation
“Right, so modes tend to just be built around, like, you have a lot of network effects, or you have A really good product for this use case or, you know, something like that. And I think typically when people ask this question in the AI context, They're thinking of like, okay, you're a thin wrapper, you're an application layer thing.”