Noam Brown, every mention
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every year anyone Shawn Wang 16Alessio Fanelli 3Nathan Lambert 1
Verbatim, from the transcripts: the passages where Noam Brown comes up
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ▶ 30:05 Shawn Wang This is something I learned from Noam Brown, where, like, things that normally act in one direction, sometimes they...
Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab
- ▶ 30:40 unnamed speaker So this maps closely to a conversation I have with Noam Brown on, on the pod.
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 53:16 Shawn Wang Uh, the AI village ties back to our, one of our highlights of last year, which was Noam Brown's conversation that, that he's actively working on multi-agents that are co-operative instead of competitive.
- ▶ 58:50 Alessio Fanelli Like, Noah Brown was like, all scaffolding is going to get washed away.
The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean
- ▶ 43:27 Alessio Fanelli I'm curious, like when we had Nolan Brown on the podcast, he said, um, they already proved you can do it with deep research.
World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI
- ▶ 47:19 unnamed speaker I would say that the main perspective, I asked this exact question to Norm Brown from OpenAI, it was like, well, B, learning this at all moments, right?
Greg Brockman on OpenAI's Road to AGI
- ▶ 6:45 unnamed speaker We had this discussion with Noam Brown about simple efficiency.
- ▶ 58:22 unnamed speaker This connects a bit with what Noam was saying on the multi-agents team, where like the individual intelligences of humans, you know, we can only do so much individually, but as civilizations, we can, you know, go to the moon and like to…
The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- ▶ 8:32 Alessio Fanelli We talked with Noam, about Noam Brown, about this, uh, deep research and kind of like the verifiable rewards.
- ▶ 33:58 Nathan Lambert I'm with Noam, Noam on no, no harnesses.
- ▶ 1:01:06 Shawn Wang The gnome pod, which you listened to was that there's also just wall clock time of just getting feedback from the environment, whatever that is, especially if it's like a real world thing. 2 times in the scene
⚡️ARC-AGI-3: The Interactive Reasoning Benchmark
- ▶ 16:45 Shawn Wang I would say definitely the researchers, you know, like we, we specifically asked this question to known Brown.
⚡️Anthropic vs Cognition on Multi-Agents: A Breakdown with Dylan Davis
- ▶ 18:59 Shawn Wang We just did a podcast with Noam Brown saying that one of the things he's exploring at OpenAI is multi-agents and everyone's like agent to agents and, you know, blah, blah, blah.
Information Theory for Language Models: Jack Morris
- ▶ 42:53 Shawn Wang Our conversation with Noam Brown was like, yeah, reasoning is emergent.
⚡️Launching AI Diplomacy: the hardest LLM Game Benchmark yet - Alex Duffy
- ▶ 7:07 unnamed speaker I only came across diplomacy because of Noam Brown. 2 times in the scene
- ▶ 31:34 unnamed speaker I think you, yeah, you think you get Nolan Brown who won human diplomacy, and then you also get like one of the jailbreakers, like Riley Goodside or Elder Plinus, who I think is in New York, by the way. 2 times in the scene
Sleep-Time Compute — Letta AI (Charles Packer, Charlie Snell, Kevin Lin)
- ▶ 31:47 Shawn Wang I think the, the, in terms of messaging, the kind of message that Noam Brown did for inference time compute was a very linear message. 2 times in the scene
GPT 4.1: The New OpenAI Workhorse
- ▶ 40:07 Shawn Wang Uh, Noam Brown from your reasoning team just said that there should be a follow-up on reasoning models soon.
Gemini 2.0 Flash and Flash Thinking: the new SOTA models for the agentic era
- ▶ 16:03 unnamed speaker I feel like Gnome being able to land at Gemini and shift flash thinking in like two months is also a sign of like, yeah, like this is, this, this was a, a head fake originated by Q star, you know, this magic secret code code name that… 2 times in the scene
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 7:10 Shawn Wang So actually Jonathan ended up winning and then Ilya supported that statement and then Noam Brown on the last day further supported that statement as well. 2 times in the scene
- ▶ 1:07:32 Shawn Wang Uh, and No Brown said that GPQA was dead.
- ▶ 1:34:32 Shawn Wang They were working on it ever since they hired GNOME.
Why Compound AI + Open Source will beat Closed AI — with Lin Qiao, CEO of Fireworks AI
- ▶ 31:07 Shawn Wang Whether or not it's a single model, or whether it's like a chain of models, and Gnome and basically everyone on the Strawberry team was very insistent that what they did for reinforcement learning, train of thought, cannot be replicated by…
The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
- ▶ 0:30 Shawn Wang Which is really interesting because, uh, you know, we've talked with Noam Brown a couple of times and that's obviously has a really interesting story in terms of prompting in agents.