01 / belief
I think of it as, like, the compilation you do, like, once you have something that's working.
“I think of it as, like, the compilation you do, like, once you have something that's working.”
- Speaker
- Raza Habib
- Publisher
- Latent Space
Public evidence record
Published podcast speaker
Claim ledger
16 transcript-backed records
01 / belief
“I think of it as, like, the compilation you do, like, once you have something that's working.”
02 / belief
“I think we have PMF within niches. So I think we definitely have, like especially for, I would say, like, if you're a team building an LM application within a larger company, then, like, yes, we see people sign up.”
03 / belief
“Every time you make a change, how do you know you're not making it worse on the things that are already there? And so I think we always had a really good version of the monitoring user feedback version.”
04 / belief
“I think there's actually some like Obvious kind of elephant in the room, unsolved problems that for some reason don't seem to get the amount of airtime that they kind of obviously should.”
05 / belief
“I think things are moving too fast for that to be the case for people to have clarity on that.”
06 / belief
“How might we be able to compose LLMs in ways to write more complex programs? And I think that LLM Cascades paper was one of the first attempts to think about that in first principles.”
07 / belief
“If you're within YC, this will be boring, but if you're outside of YC, I think that you probably can't hear this enough times, because I've seen so many people get this wrong.”
08 / belief
“I think we call them large language models today, but the goalpost of large is going to keep moving. So I think the point is sort of foundation models or...”
09 / belief
“You saw just now outside a space for a hub for all their startups and other companies in the ecosystem to come work from their offices. And they provide these podcasting studios and all sorts of really useful resources that I think is helping grow the community in Europe.”
10 / belief
“As in, we've always tried to keep close partnerships with all of the large language model providers, right? It's very clear that Andresen, GP, semaphores, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, Make it easier for their customers to succeed benefits them, and then we also get to learn from them about what problems people are facing, what they're planning to do in the future, so I think that all of the large language model providers are investing a lot in developer ecosystem, and not just being close to HumanLoop, but to anyone else who's making it easier for their customers.”
11 / belief
“Yeah. And I think that's correct today because very few of our customers have action taking LLMs.”
12 / belief
“I would say even without significant research breakthroughs on the modeling side, I would just expect inference costs to become a lot cheaper.”
13 / belief
“Every time we have a product roadmap discussion, like, Planning forward, starting to iterate on and when to build in support for Vision has become very much front of mind. So I think, like, now.”
14 / belief
“Like, we need to be able to render and read in images in the playground environment that's interactive, right? So there's a bunch of just, kind of, follow your nose things that I think we'd have to figure out.”
15 / belief
“Most of the product experience on the free tier, I think there's one or two things you don't have, but you have almost everything.”
16 / belief
“If you're coming from a pure software, non ML background, then the first thing you have to learn when you start working with LLMs is this stuff is stochastic which I think, you know, most people are not used to.”