Speakers in the public record
Claim mix
belief 11evaluation 4preference 4uncertainty 1prediction 1disagreement 1
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
22 published records
“What are the shapes of graphs that people should know? So the way that I would phrase this is I think Anthropic did a very good public service and also kind of surprisingly influential blog post, I would say, when they wrote Building Effective Agents.”
- Publisher
- Latent Space
“All right. So the first one I saw this new I don't know if it's like a product you're building the Pydantic that run, which is a Python browser sandbox.”
- Publisher
- Latent Space
“I think the one thing that I would say like yours, you know, as a library, you don't have that much control of it over the infrastructure.”
- Publisher
- Latent Space
“Just as on the LLM usage, like the IPyMB file, it's just not good to put in LLMs. So just that alone, I think should be okay.”
- Publisher
- Latent Space
“I think people maybe have gone the other way, which may get even more opinionated, like with X and like all these kind of like notebook companies.”
- Publisher
- Latent Space
“I think the success of Pydantic and libraries like FastAPI that build on top of it means that today that's no longer controversial in Python.”
- Publisher
- Latent Space
“I think that I think there's a, you're, you're right on a lot of that. And I think that like, it's very easy to get distracted by what people are saying on Twitter and LinkedIn.”
- Publisher
- Latent Space
“I think the other way to look at it is like in terms of either headcount or revenue or dollars in the bank.”
- Publisher
- Latent Space
“As I think happens to all of us, I sort of started seeing if I could do it a week and a half ago.”
- Publisher
- Latent Space
“Obviously, on Latent Space, we don't really discuss that because I think AGI is kind of this hand wavy concept that isn't super relevant.”
- Publisher
- Latent Space
“I think there is always appeal. Every developer eventually gets graph religion and goes, oh, yeah, everything's a graph.”
- Publisher
- Latent Space
“I would say you might need Pydantic AI and Logfire as well, but it gets you a long way, that's for sure.”
- Publisher
- Latent Space
“I guess they, like everyone else, get that this is important, and it's something that people are crying out to get instrumentation off.”
- Publisher
- Latent Space
“You have to use the date sub function. But like the fundamental thing is because we want our end users to write SQL, the like quality of the SQL, how easy it is to write, matters way more to us than if you're building like a platform on top where your developers are going to write the SQL.”
- Publisher
- Latent Space
“Their tech is awesome. But because I use it the whole time, I then get frustrated.”
- Publisher
- Latent Space
“I mean, I'm super excited about Cloudflare workers running Python and being able to install dependencies. And if Cloudflare could only give me my invitation to the private beta of that, we would be exploring that right now because I'm super excited about that as a like compute level for some of this stuff where exactly what you're saying, basically.”
- Publisher
- Latent Space
“First of all, you have very good support for mocking in unit tests, which is something that a lot of other frameworks don't do. So, you know, my favorite Ruby library is VCR because it just, you know, it just lets me store the HTTP requests and replay them.”
- Publisher
- Latent Space
“I'll answer that, but I'll answer what I think is a kind of parallel question, which is Pydantic's weird, because Pydantic existed, obviously, before I was starting a company.”
- Publisher
- Latent Space
“I glaze over a bit when I hear all of the different sorts of frameworks, but I like, and I will tell you when I built Pydantic, when I built Logfire and when I built Pydantic AI, my methodology is not to go and like research and review all of the other things.”
- Publisher
- Latent Space
“One of the reasons we built LogFire the way we have and we allow you to write SQL directly against your data and we're trying to build the like powerful fundamentals of observability is precisely because we know we don't know the answers.”
- Publisher
- Latent Space
“One form of graph, which, as I say, like our agents are effectively one implementation of a graph, which is why under the hood they are now using graphs. And it'll be interesting to see over the next few years whether we end up with these like predefined graph names or graph structures or whether it's just like, yep, I built a graph or whether graphs just turn out not to match people's mental image of what they want and die away.”
- Publisher
- Latent Space
“We don't use ClickHouse. We started building our database with ClickHouse, moved off ClickHouse onto Timescale, which is a Postgres extension to do analytical databases.”
- Publisher
- Latent Space