Greg Brockman
11 statements across 2 episodes · 8 bullish · 0 bearish · 2 people on the record · first statement Mar 27, 2024 by David Luan · said 31 times in 15 episodes since 2024 · across every show →
On the record as a speaker too: Greg Brockman's record, appearances and statements → this page counts the times other people say the name.
Mentions by year
brought up most by Shawn Wang (12), Spooks (Swyx) (5), David Singleton (2), Bret Taylor (2), Ahmad Awais (2), Vasek Mlejnsky (1), Sherwin Wu (1), Itamar Friedman (1)
tap a year for its mentions
2026 4 mentions in 2 episodes 2 per episode
2025 17 mentions in 10 episodes 2 per episode
- Scaling Test Time Compute to Multi-Agent Civilizations — Noam Brown, OpenAI
- The AI Architect: Bret Taylor
- Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
- AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
- How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- DevDay 2025: Apps SDK, Agent Kit, MCP, Codex and why Prompting is More Important than Ever
- Taste is your Moat (Dylan Field of Figma)
- ChatGPT Codex: The Missing Manual
- 2 more episodes that year, every mention in 2025 →
Everything said about Greg Brockman, oldest first
Mar 27, 2024 neutral
Aug 15, 2025 bullish
Brockman: Future dev architecture will combine local, remote, and multiplayer agents
“And then you have your codex infrastructure that has a local agent and a remote agent, and that is able to seamlessly, you know, interplay between the two and then is able to multiplayer. Like, this is what the future is going to look like, and it's going to b…”
Aug 15, 2025 neutral
Aug 15, 2025 positive
Brockman: Arc Institute trained 40B DNA model on 13T base pairs
“I'd say that maybe the neural net we produced, you know, it's a 40 B neural net trained on, you know, like 13 trillion base pairs or something like that. The results to be felt like GPT one, maybe starting to be GPT two level, right? It's like accessible or, a…”
Aug 15, 2025 positive
Brockman: Open-source AI creates tech stack dependency beneficial to OpenAI and the US
“Another thing at a very practical level that we've thought about with open source models is that people building on our open source model are kind of building on our tech stack, right? If you are relying on us to help improve the model that you're relying on u…”
Aug 15, 2025 positive
Brockman: AI models must build persistent tool libraries to solve hard problems
“But the idea of producing your own tools to make you more efficient and build up a library of those over time in a persistent way, like that's an incredible primitive to have in your toolbox. And I think that if your goal is to be able to go and solve these in…”
Aug 15, 2025 positive
Aug 15, 2025
Aug 15, 2025 bullish
Brockman: Neural networks learn biological language as naturally as human text
“Why should human language be any more natural to a neural net than biological language? And the answer is, they're not, right? That, that actually these things are literally the same hardware. Exactly, and so one of the amazing hypotheses is that it's like, we…”
Aug 15, 2025 bullish
Aug 15, 2025 bullish
Brockman: Post-AGI humans will survive without work, but compute will differentiate capability
“And so I think that the question of exactly how, you know, if you don't do work, do you survive?
I think the answer will be yes.
You'll have plenty of material, your material needs met.
But I think the question of
Can you do more?
Can you have not just generat…”