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
19 published records
01 / belief
“I agree with you. And I actually do think if you look at like a legal contract, you know, the imprecision of the English language, it's like a flaw in the system.”
02 / belief
“I mean, it's I don't, I think the relationships evolved because the markets evolved, but the core tenants of the partnership have remained the same.”
03 / belief
“By the way, I would love to talk about the future of software, too, because despite the fact it didn't pick coding, I have a lot of that, but I can talk to I can answer your question, though, you know I think when a technology is as [00:29:00] cool as large language models.”
04 / belief
“I think that is silly because you want the precision of a a programming language.”
05 / uncertainty
“I don't know exactly what form that would take, but I feel like that would be a pretty cool world to live in.”
06 / evaluation
“Broadly, but I, but it doesn't reduce my excitement about what is the reactive building agents kind of thing, just because it is, it is the right question to ask, but I think we'll probably play out probably an open source space more than anything else.”
07 / belief
“I've run a lot of engineering teams in the past, and I think the product versus engineering tension has always been more about effort than like whether or not the feature is buildable.”
08 / belief
“People be more productive, but you're actually accomplishing tasks autonomously. And as a consequence, I think the [00:32:00] addressable market has just greatly expanded just because software can actually do things now and actually accomplish tasks and how much is coding autocomplete worth.”
09 / belief
“One thing I just, I just observe is that I think the early Google days had this interesting mix of PM and engineer, which I think you are, you didn't, you didn't wait for PM to tell you these are my, this is my PRD.”
10 / preference
“Salesforce, I was coding on the weekends. So I think of myself as an engineer and then all the roles that I do in my career sort of start with that just because I do feel like engineering is sort of a mindset and how I approach most of my life.”
11 / commitment
“We build most of our tooling in house at Sierra, not all. It's, we don't, it's not like not invented here syndrome necessarily, though, maybe slightly guilty of that in some ways, but because we're trying to build a platform [00:23:00] that's in Dorian, you know, we really want to have control over our own destiny.”
12 / commitment
“Because we're trying to create an enduring company at Sierra that outlives us, you know, I'm not sure we want to like attach our cart to some like to a horse where it's not clear that like we've figured out and I actually want as a company, we're trying to enable just at a high level and I'll, I'll quickly go back to tech at Sierra, we help consumer brands build customer facing AI agents.”
13 / prediction
“Making real time updates was still very hand coded and it's really neat when you [00:16:00] see conceptual breakthroughs like react because it's, I just love those things where it's like obvious once you see it, but it's so not obvious until you do. And actually, well, I'm sure we'll get into AI, but I, I sort of feel like we'll go through that evolution with AI agents as well that I feel like we're missing a lot of the core abstractions that I think in 10 years we'll be like, gosh, how'd you make agents?”
14 / evaluation
“I'm not really a 50, 50 ball. So I feel very fortunate in retrospect that the economy collapsed because in some ways it forced me into like one of the greatest companies of all time, but I kind of lucked into it, I think.”
15 / evaluation
“This is so amazing. And I wouldn't, I don't know if I'd be, I wouldn't, I'm not [01:20:00] sure I would have started another company if not for open AI, kind of inspiring the world with chat GPT, maybe I would have, I don't know, but it was like, it had a very significant impact on you, all of us, I think.”
16 / prediction
“I would like to see an AI native programming language and programming system, and I use language because I'm not sure language is even the right thing, but I hope in 30 years, there's an AI native way we make [00:48:00] software that is wholly uncorrelated with the current set of programming languages.”
17 / commitment
“Yeah, I, I brought this anecdote in a recent conversation, but When I started at Google, we were in one building in Mountain View and then eventually moved into a campus, which was previously the Silicon Graphics campus.”
18 / evaluation
“How much does a latte cost? And I bring it up because there's a supply chain from growing [00:30:00] coffee beans to roasting coffee beans to like, you know, you could make one at home or you could be in the airport and buy one and the margins of the company selling lattes in the airport is a lot higher than the, you know, people roasting the coffee beans and it's because you've actually solved a much more acute human problem in the airport.”
19 / preference
“I think there should be lots of interesting things in the software development life cycle, like how [00:41:00] we think of testing and everything else, because.”