machine learning

“The kind of person that is deep in the guts of some kind of distributed systems, really high, high scale backend kind of a problem would probably naturally have these kinds of skills, but you'll find them on, on day one if you're building a, you know, an ML po…”

“I think the AI world, the ML world is still very much research heavy. And that's as it should be because ML is very much in a research phase. But as we move this entire field into production, I think that ratio inverts into becoming more engineering heavy.”

“There was almost nothing that went superhuman except for something like AlphaGo.”

“With machine learning, first of all, you see that the performance of the models follows an S-curve. So it's not like it just goes off to infinity, right? And the S curve, it kind of plateaus around human level performance.”

“I think we're still having trouble not at OpenAI, but I think as a whole, producing lots of people that do lot, want to do lots of both systems work and ML work. And I think if you're trying to push the frontier, you don't know which Place is currently bottlen…”

“Generally, I'm not really, I don't really believe that model thoughts have to be the same with human thoughts. I'm actually like, generally in ML, I'm more of the school of thought of let the model do whatever it wants.”

“ML. ML can be learned easily. Our knowledge can be learned easily.”

“This theory called maximum entropy. And it's about like, how do you take complex simulations and match them to limited observations? And it's like the inverse of machine learning. Machine learning is like, you have simple models, you're going to a lot of data …”

“I think one of the areas where machine learning kind of just with what's out there right now has the most promising chemical sciences is in solving multi-dimensional challenges.”

“Some research sub-fields are trying to do that, but it's not really developed across material science.”

“Most people who actually work on Getting materials to the device scale, say something that would be in your television or something like that, is they will tell you that it's not just the material, it's the process. And I think we're at ground zero. We're nowh…”

“People think you can't work on like AI bio unless you're a biologist, but it's kind of like you can't work on like video models unless you're like a director or something. Like there are all these like super domain specific things like, oh yeah, to understand …”