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
41 published records
01 / uncertainty
“I don't know if I'm, like, a super good fit with this space, but I'll try it because the people are cool.”
02 / recommendation
“One of the things that I love about Steven is he uses the product in ways where it kind of does it, but doesn't quite.”
03 / recommendation
“I think on sort of like the creepy side of things, I did watch a student like with her permission, of course, I watched her do her homework in Notebook LM.”
04 / belief
“I would say OpenAI has a pretty similar person, Andrew Mason, I think his name is.”
05 / belief
“I noticed that you say no a lot, I think, or you try to ship one thing and that there's different about you than maybe other PMs or other teams that try to ship, but they're like, Oh, here are all the knobs.”
06 / belief
“I think a post-mortem would be fun, but I don't think we need to do it on the podcast now.”
07 / belief
“I'm trying to figure out what you nailed compared to others. And I think that the way that you treat your, the AI is like a little bit different than a lot of the builders I talked to.”
08 / belief
“I think that's what Karpathy did, right? Like, he has now a Spotify channel called Histories of Mysteries, which is basically, like, he just took, like, interesting stuff from Wikipedia and made audio overviews out of it.”
09 / belief
“I think at the same time, right, there are a lot of developers that are interested in using the same technology to build their own thing.”
10 / belief
“I think the thing about ad-generated content, if we look at YouTube, like we do videos on YouTube and it's like, you know, a lot of people like screaming in the thumbnails to get clicks.”
11 / evaluation
“Top P top cake. It doesn't matter. I'll just put it in the docs and you figure it out.”
12 / belief
“Thank you. And, you know, I think we'll just keep going in like the same way. We just keep trying, keep trying to make it better.”
13 / belief
“Is it because you want to participate? So I think there's a lot there that like we can continue to unpack.”
14 / belief
“I think while building this product, some of the other experiments, there were phases where it was easy to think that you've approached it.”
15 / uncertainty
“Yeah, I think Steven Johnson, I think he's on your team. I don't know what his role is.”
16 / uncertainty
“I would love, like, a, you know, like when you play Baldur's Gate, like, you roll, you roll like 17 on Charisma and like, it's like what race they are. I don't know.”
17 / belief
“I think, like, people uploaded their dreams and, like, some people, like, keep sort of dream journals and it, like, would sort of comment on those and, like, it was therapeutic.”
18 / belief
“I think because we are still in the period where everyone's really excited about it, everyone's trying it.”
19 / belief
“I think we have been really focused, especially when we had like a much smaller team, we were really focused on like, let's push like an end to end journey together.”
20 / belief
“I actually said, I think you saw this. I think that Notebook LLM was kind of like the ChatGPT moment for Google.”
21 / belief
“You know, I think a lot of it is competent PMing and engineering, but also just, you know, it's interesting how a lot of these projects are always like low key research previews for you.”
22 / belief
“I think the other interesting thing about like AI development now is that the knobs are not necessarily like speak going back to all the sort of like craft and like human taste and all of that that went into building it.”
23 / belief
“I would say one of the toughest AI engineering disciplines out there because even their API doesn't do interruptions that well, to be honest.”
24 / belief
“I think another cool one is just, like, any Wikipedia article. Yeah. Like, you drop it in and it's just, like, suddenly, like, the best sort of summary overview.”
25 / belief
“We have the sort of formal eval process as well. But I think, like, for this particular project, we maybe took a slightly different route to begin with.”
26 / belief
“Cause like, and some of our sort of earliest testing with trying out other languages, we actually noticed that sometimes it wouldn't stick to a certain dialect, especially for like, I think for French, we noticed that like when we presented it to like a native speaker, it would sometimes go from like a Canadian person speaking French versus like a French person speaking French or an American person speaking French, which is not what we wanted.”
27 / belief
“I think, honestly, like, our fastest way that we've been able to find out if, like, the servers are down or there's just an influx of people being, like, it says system unable to answer.”
28 / belief
“I think a lot of people are like, this is almost perfect, but like, I just need that extra 10, 20%.”
29 / belief
“Like I think like when you listen to two people talk, there's a lot of like, yeah, yeah, right.”
30 / belief
“Like, I think the bar that we tried to get to before even starting formal evals with raters and everything was much higher than I think other projects would.”
31 / belief
“I think sometimes the difficulty is because we're dealing with non-deterministic models, sometimes you just got a bad roll of the dice and it's always on the distribution that you could get something bad.”
32 / evaluation
“I think that that idea of, like, questioning, like, the two different personas, like, persists throughout, like, whatever approach we try.”
33 / preference
“Somebody gives me a hundred slide deck, that is the format in which I'm going to read it. But I think we are now living in the era where transformations are really possible, which is, look, like I don't want to read your hundred slide deck, but I'll listen to a 16 minute audio overview on the drive home.”
34 / preference
“I was like, I love that, right. And I was like, maybe there's something to be learned there because, like, people have fallen in love with the deep dive as a, as a format, as a technology, but also as just like those two personas.”
35 / observation
“announcement in 23, we'd already done a lot of studies. And one of the first things that I realized was the first thing anybody ever typed was, summarize the thing.”
36 / prediction
“I think if there was anything, I wish we would have launched sooner because I wanted to learn faster.”
37 / commitment
“Occasionally, I'll try to build something on GCP over the weekend because I don't do that normally at work.”
38 / preference
“Because I think contextualizing it within your life, your background, your motivations, is what really helps me build really cool things.”
39 / preference
“What do you mean? And I think there is a lot of like for product builders is like, have a strong opinion about like, what is the user supposed to do?”
40 / observation
“I hear from Googlers all the time, especially because we launched it internally first.”
41 / preference
“Well, you know, I like the idea of it fundamentally, but something about the UX was like, oh, this is like more disorienting than like artifacts.”