AI researcher

“So if you're an AI or machine learning or deep learning developer or researcher, you think of your primitives as, you know, hidden layers and LSTMs and things like that. From an infrastructure perspective, it's actually much higher up”

“A lot of them are going through an existential crisis of sorts. It was maybe a lot of things you were trying to solve and work are just going to be solved by training larger models.”

“I think these researchers are going to grind out improvements for multiple years, but never in a way that results in this kind of accelerating well that we get drawn into.”

“Once you start having models that are really good, you accelerate yourself. Especially in terms of coding, given that we all code internally yeah, you accelerate yourself both for having these models, like train the other models, but also like build like the t…”