AI research
7 statements across 5 episodes · 4 bullish · 1 bearish · 6 people on the record · first statement Nov 8, 2017 by Greg Brockman · across every show →
Everything said about AI research, oldest first
Nov 8, 2017 bullish
Brockman: Game-based AI research will precede real-world problem-solving deployments
“And I think what you're going to see is that there's a lot of work that's going to be done in games, but the goal is, of course, bring it out of the game, and actually use it to solve problems in the real world, and to actually, you know, be able to interact w…”
Nov 8, 2017 bullish
Nov 8, 2017 negative
Sidor: AI research neglects understanding existing methods and limits
“And what people do is people kind of try to invent problems and the, such as solving some complicated games of character structure, and they try to Add kind of extra features to their models to combat those problems, but I think there's very little research ha…”
Apr 25, 2018 positive
Hwang: Open publishing should be the default standard in AI research
“I'm very pro open publishing. Like, I think, like, it should be the default, and it's like, I'm still disputing situations where I'm like, you shouldn't publish on this stuff. Just because like, I think it is actually to the benefit of everybody to know what t…”
Jan 31, 2025
McGrew: Initial AI breakthroughs are completely separate from scaling laws
“Just getting to that point where it's sort of plausibly begins to work is, is a huge, difficult problem. And it's completely separate from using scaling laws. Now, once you get it to work, that's when scaling laws come into play.”
Sep 30, 2025 neutral
Joseph: AI theory is usually wrong and progress must be empirical
“I think almost everything kind of has to be done empirically. Like, you can kind of, like, come up with theories, but in practice, like, the first thing you're gonna do with your theory is test it, and most of the time you'll have gotten it wrong. So you shoul…”
Mar 9, 2026 positive
Hodak: Neuroscience is learning more from AI research than vice versa
“But I think one of the interesting things that's come out of progress in artificial intelligence is we're seeing this big unification in neuroscience and AI. I think we're actually learning a lot from AI research, more than I think we thought we would learn fr…”