Speakers in the public record
Claim mix
evaluation 5belief 4recommendation 3commitment 1disagreement 1preference 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.
15 published records
“I was, I was actually gonna Good say that is that in, in some ways, you're kind of like the perfect first data hire because it, you know, you know how to build things in a reliable but fast way and, and how to build them in a way that, you know, it's, it scales over time and evolves over time because financial markets move so quickly that if you were to take all of your time building up these massive systems, like the trading opportunities gone.”
- Publisher
- Latent Space
“When I was talking to Amjad about this role, I'd originally talked to him, I think about a product role and, and didn't get it.”
- Publisher
- Latent Space
“I mean, I, I think someone like in a software engineering background, cuz you think of finance and you think of like calling people to get the deal done and that type of thing.”
- Publisher
- Latent Space
“I think I think you're, you're right. I totally agree by the way that humans are general intelligences.”
- Publisher
- Latent Space
“Another example of, of that same thing. So I think the, the people who will be really successful are the ones that kind of understand it know how to use it, know its limitations and, and know how it can make them more productive and, and better at anything they want to do.”
- Publisher
- Latent Space
“Replica tends to be like a, a band of misfits. And, and the type of people we work with and, and have on our team are you know, like just the, the perfect mix to, to do amazing projects like this with very, very few people.”
- Publisher
- Latent Space
“I mean, I think part of it is that there's a lot of comments and there's also a lot of natural language in, in a lot of code right.”
- Publisher
- Latent Space
“If you ask me a question that is rooted in truth, I'll give you the answer. If you ask me a question that is nonsense I will respond with unknown.”
- Publisher
- Latent Space
“That's kind of the problem is that no one's building on them, right? Yeah. Like, like we want to build on, on systems that everyone else is, is building for.”
- Publisher
- Latent Space
“Like I think I did a demo where I showed you can, you can go through all of replica data and parse the function signature of every Python function in like under two minutes.”
- Publisher
- Latent Space
“remember that? So for those who don't know, Domino's Pizza, I think for the run of most of the 2010s was a better performing stock than Amazon.”
- Publisher
- Latent Space
“The, the challenge for me, so that so there's a, there's a great piece by Eric Falkenstein called Batesian Mimicry, where every signal essentially gets overwhelmed by noise because the people who wants, who create noise want to follow the, the signal makers.”
- Publisher
- Latent Space
“One is like you can actually get GPUs from different providers and you don't need to be you know, signed up for that cloud provider. So it's, it kind of detaches like your GPU offering from the rest of your cloud because most of our cloud runs in, in gcp.”
- Publisher
- Latent Space
“I mean, imagine if in the early days of search when the algorithms weren't very good, imagine if you were to go create a middleware that says, Hey type in what you're looking for, and then I will turn it into the set of words that you should be searching for.”
- Publisher
- Latent Space
“I learned my, I wrote my own data pipelines there before airflow was a thing, and it was just me writing running notebooks and not version controlling them.”
- Publisher
- Latent Space