Home Speakers Greg Brockman Quote 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.
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 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. 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 sum of random vectors is zero, but if you align your vectors, then you can go in a direction.
On the same topics Blog The Specter Of Neuralese Sep 24, 2026
An AI with more real layers can actually be “smarter” in the conventional sense of the term. Blog The Specter Of Neuralese Sep 24, 2026
For 100 steps in a row, the AI can shoot delicate subtle ideas from layer to layer at the speed of light. Then there’s one step where it has to encode them into twenty-six glyphs invented by Phoenician turquoise miners in 1800 BC. Then it has to re-encode the Phoenician glyphs into delicate subtle lightspeed ideas before it can do anything else. Blog The Specter Of Neuralese Sep 24, 2026
The science of reading these thoughts is a subfield of AI interpretability, which is still in its infancy. Blog Mysteries Of AI Generalization Sep 23, 2026
This trains the AIs to be focused on task success, which naturally risks including things like reward-hacking, cheating, and single-minded pursuit of stated goals at the expense of ethical injunctions. 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
If you have five hours, you’re probably going to do a lot better. The AI models are pretty similar. About this quote 
Quotesby Glyph