Speakers in the public record
Claim mix
evaluation 6belief 6uncertainty 1recommendation 1preference 1prediction 1commitment 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.
17 published records
“Our growth is like around, you know, four to 5% day over day right now. So all of our growth right now is sort of like word of mouth, and that's fundamentally because like the product is actually one of those products where.”
- Publisher
- Latent Space
“I think that was the main I, it's not that these teams were like not good at what they were doing, it's just that they were trying to solve a completely separate problem.”
- Publisher
- Latent Space
“The reality is the model is like probably at a state right now where it can do crazy enough things. Uh, and I think great apps will, will come out of this.”
- Publisher
- Latent Space
“I know that this is like a big niche, but I think the fact that Strava is such a big group of people and like swyx is a big group of people, seems to suggest that I think a lot of people would be willing to pay for something like this.”
- Publisher
- Latent Space
“What I think is always gonna happen is if you find a cheap way to embed context, people are gonna figure out a way to, to put as much as possible in because L LM so far have been like virtually stateless.”
- Publisher
- Latent Space
“You want a base model that's still really good and that's probably trained on normal text, like a lot of different content. But I think probably one thing that old school machine learning, even though I'm like the kind of person that says a lot of old school machine learning is just gonna die, is that training on a high quality data set for your workload is, is always gonna yield better results and more, more predictable results.”
- Publisher
- Latent Space
“I don't know if there's like a, a deeper insight here that you wanna go into or, or not, but like, train on all the things, get all the data and you're like, no, no, no.”
- Publisher
- Latent Space
“One of the key issues that we noticed is GPUs are extremely hard to manage fundamentally because they work differently than CPUs.”
- Publisher
- Latent Space
“about it? So I think one thing that has proven to be true over the last year and a half is companies, for the most part, should not be trying to figure out what the optimal ML architecture is or training architecture is.”
- Publisher
- Latent Space
“We saw that there was a gap there where a lot of people probably weren't developing high intensive L L M applications because of cost, because of the inability to train models the way they want to.”
- Publisher
- Latent Space
“I think one of the things that we genuinely believe as a startup is most startups can't really even do one thing properly.”
- Publisher
- Latent Space
“When I was there, I like shipped a change and then Cora had like millions of daily actives and then it looked like it was good, and then a week later it was just like way worse.”
- Publisher
- Latent Space
“A lot of them are, are kind of like weight and, you know, just generate a lot of stuff and see what happens because one is clearly more compute intensive than the other Basically.”
- Publisher
- Latent Space
“We ended up basically using a lot of open, I guess, permissively licensed code, uh, in the public internet, mainly because I think also the pile is, is fairly a small subset.”
- Publisher
- Latent Space
“I think that's like a really cool thing and I'm sure at some point we will be able to get there.”
- Publisher
- Latent Space
“I mean, there's like a lot of maybe issues with the current version of the transformers, which is like the way attention works, the attention layers work, the amount of computers quadratic in the context sense, because you're like doing like an n squared operation on the attention blocks basically.”
- Publisher
- Latent Space
“I will just say for us, we will probably just build this in-house to start with, and that's because I think the technology probably isn't there.”
- Publisher
- Latent Space