Brown: Reasoning models will progress rapidly into agentic behavior
Noam Brown · Scaling Test Time Compute to Multi-Agent Civilizations — Noam Brown, OpenAI · Jun 19, 2025 · at 6:07
OpenAI researcher Noam Brown reflects on the trajectory of OpenAI's o-series reasoning models following the release of o1 and o3.
0:00 / 0:22exact quote · 22.1s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“I think that we're going to continue to see, as I said before, that we're going to see this paradigm continue to progress rapidly. And I think that that's true even today, that we saw that with like going from O-one preview to O-one to O-three, consistent progress. And we're going to continue to see that going forward. And I think that we're going to see a broadening of what these models can do as well. You know, like we're going to start seeing agentic behavior.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Noam Brown
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.”
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…”
Brown: GPT-4o and o3 are passing the Turing test
“So at this point, like, you know, the truth is, you know, GPT-IV-O and like O-III, these models are like passing the Turing test.”
Brown: Deep Research proves reasoning models work in unverifiable domains
“And that is very clearly a domain where you don't have an easily verifiable metric for success. It's very like, what is the best research report that you could generate? And yet these models are doing extremely well at this domain. So I think that's like an ex…”