Noam Brown
12 statements across 1 episodes · 6 bullish · 2 bearish · 1 people on the record · first statement Jun 19, 2025 by Noam Brown · said 30 times in 17 episodes since 2024 · across every show →
On the record as a speaker too: Noam Brown's record, appearances and statements → this page counts the times other people say the name.
Mentions by year
brought up most by Shawn Wang (16), Alessio Fanelli (3), Nathan Lambert (1)
tap a year for its mentions
2026 5 mentions in 4 episodes 1 per episode
- Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab
- The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean
- every mention in 2026, scene by scene →
2025 23 mentions in 11 episodes 2 per episode
- The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- ⚡️Launching AI Diplomacy: the hardest LLM Game Benchmark yet - Alex Duffy
- 2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- Greg Brockman on OpenAI's Road to AGI
- Sleep-Time Compute — Letta AI (Charles Packer, Charlie Snell, Kevin Lin)
- Gemini 2.0 Flash and Flash Thinking: the new SOTA models for the agentic era
- World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI
- ⚡️ARC-AGI-3: The Interactive Reasoning Benchmark
- 3 more episodes that year, every mention in 2025 →
Everything said about Noam Brown, oldest first
Jun 19, 2025 bearish
Jun 19, 2025 positive
Brown: LLMs implicitly develop world models through scale alone
“I think it's pretty clear that as these models get bigger, they have a world model, and that world model becomes better with scale. So they are implicitly developing a world model, and I don't think it's something that you need to explicitly model.”
Jun 19, 2025
Brown won the 2025 World Diplomacy Championship
“When we released Cicero, we announced it in, like, late twenty-twenty-two, I still found the game, like, really fascinating, and so I, like, kept up with it, I, like, continued to play, and that led to me winning the championship in the World Championship in t…”
Jun 19, 2025 bullish
Jun 19, 2025 positive
Brown: AI models implicitly develop theory of mind through scale
“If these models become smart enough, they develop things like theory of mind. They develop an understanding that there are other agents that like can take actions and have motives and all this stuff. And these models just develop that implicitly with scale and…”
Jun 19, 2025 positive
Jun 19, 2025 negative
Jun 19, 2025 neutral
Jun 19, 2025 positive
Noam Brown: OpenAI succeeded early by betting on scaling over small experiments
“One of OpenAI's big success was betting on the scaling paradigm. It is just kind of odd because, you know, they were not the biggest lab, you know, it was, like, difficult for them to scale. Back then, it was much more common to do, like, a lot of small experi…”
Jun 19, 2025
Brown: Debugging game AI requires deep mastery to spot novel brilliance
“When you work on these games, you kind of have to understand the game well enough to like be able to debug your bot because If the bot does something that's, like, really radical and, like, that humans typically wouldn't do, you're not sure if that's, like, a …”
Jun 19, 2025 bullish
Brown: Multi-agent AI civilizations will far surpass current AI capabilities
“And I think that if you're able to have them cooperate and compete with billions of AIs over a long period of time and build up a civilization essentially, the things that they would be able to Produce and answer would be far beyond what is possible today with…”