And actually the models today are far beyond what was possible even six months ago.
Words found on the source page on Nov 6, 2026.
More from Noam Brown
PodcastDwarkesh Podcast: Agent swarms, alignment, and recursive self-improvementSep 17, 2026
If you have five hours, you’re probably going to do a lot better. The AI models are pretty similar.PodcastDwarkesh Podcast: Agent swarms, alignment, and recursive self-improvementSep 17, 2026
If you’re in a world where they can operate effectively over three months, but the model release cycle is every two months, then you don’t have a way to evaluate the models at the full length of their capabilities before the next model release cycle.PodcastDwarkesh Podcast: Agent swarms, alignment, and recursive self-improvementSep 17, 2026
One thing is that the Hugging Face incident was, I think, people’s first real exposure to multi-agent coordination.PodcastDwarkesh Podcast: Agent swarms, alignment, and recursive self-improvementSep 17, 2026
So I was like, “I don’t think we’re going to get it in 2026, probably not in 2027, maybe in 2028.” So it did happen a lot faster than I expected.PodcastDwarkesh Podcast: Agent swarms, alignment, and recursive self-improvementSep 17, 2026
The concerning scenario is that, especially as these models are becoming more capable, we make them what we think is aligned, and they’re 99.9% aligned. Then we use these models to help us with the next generation of models, and they end up being 99.8% aligned. Then with each subsequent generation, we see an increasing degradation in alignment.
On the same topics
TalkImport AI 458 / 2026 Cosmos HAI Lab Lecture, OxfordMay 26, 2026
It’s time to plan for this, because AI systems are likely to get better a lot faster than people expect, and as they become more advanced we should expect profound changes to happen to people and to society.TalkImport AI 458 / 2026 Cosmos HAI Lab Lecture, OxfordMay 26, 2026
When I look at the graph, I feel a sense of vertigo, because I know a little bit about what underlies this graph.BlogUntitled post, April 2026Apr 10, 2026
My personal takeaway from the last several years, and take on why there has been so much Shakespearean drama between the companies in our field, comes down to this: “Once you see AGI you can’t unsee it.”BlogUntitled post, April 2026Apr 10, 2026
The only solution I can come up with is to orient towards sharing the technology with people broadly, and for no one to have the ring.InterviewBig Technology Podcast: Doubling Down on Text Models, The Superapp Plan, Codex's PotentialApr 7, 2026
And at this point we have line of sight to much better models that are coming this year, and the amount of pain within OpenAI that we’ve had to decide how to allocate compute goes up, not down, over time.BlogIs there an aggregate demand problem in an AGI world?Feb 24, 2026
If AI produces a lot more stuff, income is generated from that and the economy keeps going, whether or not the resulting distribution pleases your sense of morality.
About this quote
- Said by
- Noam Brown, Research Scientist, OpenAI
- Where
- Dwarkesh Podcast: Agent swarms, alignment, and recursive self-improvement
- Topics
- AGI
- Company
OpenAI- Source
- dwarkesh.com/p/noam-brown
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