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
Prediction Not checkable as stated
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…”
Greg Brockman Nov 8, 2017 ▶ 58:35 Building Dota Bots That Beat Pros - OpenAI's Greg Brockman, Szymon Sidor, and Sam Altman · Y Combinator
Nov 8, 2017 bullish
Opinion
Sidor: Rigorous baseline optimization will advance AI more than complex architectures
“And you know, it's not the kind of sexy research that people want to see, where you have like some hierarchy of big RNN, but it actually, this kind of research, I think at this point will advance field the most.”
Szymon Sidor Nov 8, 2017 ▶ 2:33 Building Dota Bots That Beat Pros - OpenAI's Greg Brockman, Szymon Sidor, and Sam Altman · Y Combinator
Nov 8, 2017 negative
Opinion
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…”
Szymon Sidor Nov 8, 2017 ▶ 1:26 Building Dota Bots That Beat Pros - OpenAI's Greg Brockman, Szymon Sidor, and Sam Altman · Y Combinator
Apr 25, 2018 positive
Opinion
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…”
Tim Hwang Apr 25, 2018 ▶ 43:12 A.I. Policy and Public Perception - Miles Brundage and Tim Hwang · Y Combinator
Jan 31, 2025
Insight
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.”
Bob McGrew Jan 31, 2025 ▶ 10:20 Bob McGrew: AI Agents And The Path To AGI · Y Combinator
Sep 30, 2025 neutral
Insight
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…”
Nick Joseph Sep 30, 2025 ▶ 29:52 Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI · Y Combinator
Mar 9, 2026 positive
Insight
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…”
Max Hodak Mar 9, 2026 ▶ 19:10 The Future Of Brain-Computer Interfaces · Y Combinator
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