AI Space
topic on 6 shows · 7 statements across 7 episodes
More or Less 
Latent Space 
the Neon Show 
A Product Market Fit Show 
All-In 
20VC
7 statements about AI Space, every show
Poojan Kumar: Successful AI startups scale through bottom-up adoption, not top-down sales
“The ground up adoption is how you have to target it. You have to essentially think about how are you going to essentially get this thing in the hands of your end user, make it very easy and essentially make sure that it's something that is, is, is loved by the…”
Slonimski: AI Companies Build Defensibility Through User Data Feedback Loops
“They built much of the defensibility through data loops.”
Soham Ganatra: Founders cannot validate AI product ideas by asking potential customers
“My hunch with AI space is that you can't validate problems by asking people because, like, they won't able, they won't get it.”
Stuhlmüller: Trading inference compute for answer accuracy is undervalued in AI
“Being able to invest more or less compute into getting more or less accurate answers is, I think, one of the core things we care about, and that I think is currently undervalued in the AI space.”
Chintala: No AI company currently feels they have sufficient compute
“If you don't have enough compute, you figure out how to make do with smaller models, but like, no one as of today, I think, would feel like they have enough compute. I don't think, like, I've heard any company within the AI space be like, oh yeah, like, we fee…”
Sam Lessin: Big tech will win AI and most startups will die
“I think the whole AI space is gonna be a very YOLO space, where, like, almost everyone dies, and, like, the big companies win almost everything, and there's gonna be some exception. Someone's gonna make a fucking fortune somewhere, that's gonna be super hard t…”