Home Speakers Greg Brockman Quote 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.
Words found on the source page on Nov 6, 2026.
More from Greg Brockman Blog The Defender's Window Aug 16, 2026
It is increasingly clear that the tech debt of every company masks significant flaws, and defenders need to find and fix them before attackers do. Blog The Defender's Window Aug 16, 2026
Security is still a cat-and-mouse game, but AI may shift its economics in ways that fundamentally advantage defenders. Blog The Defender's Window Aug 16, 2026
The Hugging Face incident showed that we underestimated the real-world cyber capabilities of our AI models. Blog The Defender's Window Aug 16, 2026
The OpenAI-Hugging Face incident was a watershed moment for cybersecurity because it gave a peek into how the capabilities of a typical threat actor will evolve in upcoming months. Blog The Defender's Window Aug 16, 2026
Today, almost all of our initial security alerts are triaged by intelligence before humans are looped in. Interview Big Technology Podcast: Doubling Down on Text Models, The Superapp Plan, Codex's Potential Apr 7, 2026
And when we look at the compute we have, we are not even going to have enough compute to fund those two things. Interview Big Technology Podcast: Doubling Down on Text Models, The Superapp Plan, Codex's Potential Apr 7, 2026
The problem in this field is too much opportunity. The thing that we observe very early on in OpenAI is that everything we could imagine works now. Interview Big Technology Podcast: Doubling Down on Text Models, The Superapp Plan, Codex's Potential Apr 7, 2026
The sum of random vectors is zero, but if you align your vectors, then you can go in a direction.
On the same topics Blog Banning self-recursive improvement in AI models? Sep 22, 2026
If the top U.S. labs have to give up on what is supposed to be really important, they will look very “catchable.” The policy creates a big incentive for some other parts of the world to invest a lot more in compute. Blog Frontier Overhangs Sep 21, 2026
A world with sufficient compute is one where intelligence is a commodity, and in commodity markets margin comes from a superior cost structure, which I would expect the leading model providers to have, in part because they have a meaningful lead in scaling and can apply superior AI to their infrastructure. Blog Why I still haven't bought into true RSI Sep 19, 2026
I have my doubts that the labs can afford to spend a constant portion of this compute on internal R&D as the total volume goes up, especially with plans to IPO, as they face increased scrutiny on basic economics. Blog Why I still haven't bought into true RSI Sep 19, 2026
It is important to not confuse massive steps in inference-time scaling, a dynamic which should be fairly predictable, with being the outputs of RSI, which is highly uncertain. Podcast Dwarkesh Podcast: Agent swarms, alignment, and recursive self-improvement Sep 17, 2026
And actually the models today are far beyond what was possible even six months ago. Podcast Dwarkesh Podcast: Agent swarms, alignment, and recursive self-improvement Sep 17, 2026
If you have five hours, you’re probably going to do a lot better. The AI models are pretty similar. About this quote 
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