Home Speakers Ilya Sutskever Quote If you think about the term “AGI”, especially in the context of pre-training, you will realize that a human being is not an AGI.
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More from Ilya Sutskever Podcast Dwarkesh Podcast: We're moving from the age of scaling to the age of research Nov 25, 2025
All the pre-trained models are pretty much the same because they pre-train on the same data. Podcast Dwarkesh Podcast: We're moving from the age of scaling to the age of research Nov 25, 2025
But now that compute is big, compute is now very big, in some sense we are back to the age of research. Podcast Dwarkesh Podcast: We're moving from the age of scaling to the age of research Nov 25, 2025
I think that’s been guiding me a fair bit, thinking from multiple angles and looking for almost beauty, beauty and simplicity. Podcast Dwarkesh Podcast: We're moving from the age of scaling to the age of research Nov 25, 2025
Number three, I think it would be really materially helpful if the power of the most powerful superintelligence was somehow capped because it would address a lot of these concerns. Podcast Dwarkesh Podcast: We're moving from the age of scaling to the age of research Nov 25, 2025
One consequence of the age of scaling is that scaling sucked out all the air in the room. Because scaling sucked out all the air in the room, everyone started to do the same thing. Podcast Dwarkesh Podcast: We're moving from the age of scaling to the age of research Nov 25, 2025
So for research, you definitely need some amount of compute, but it’s far from obvious that you need the absolutely largest amount of compute ever for research. Podcast Dwarkesh Podcast: We're moving from the age of scaling to the age of research Nov 25, 2025
So it’s back to the age of research again, just with big computers. Podcast Dwarkesh Podcast: We're moving from the age of scaling to the age of research Nov 25, 2025
The thing which I think is the most fundamental is that these models somehow just generalize dramatically worse than people.
On the same topics 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. Talk Import AI 458 / 2026 Cosmos HAI Lab Lecture, Oxford May 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. Talk Import AI 458 / 2026 Cosmos HAI Lab Lecture, Oxford May 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. Blog Untitled post, April 2026 Apr 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.” Blog Untitled post, April 2026 Apr 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. 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. About this quote Said by Ilya Sutskever, Co-founder, Safe Superintelligence Where Dwarkesh Podcast: We're moving from the age of scaling to the age of research Topics AGI Company Source dwarkesh.com/p/ilya-sutskever-2 A quote is one moment, not the whole argument. Read it in context at the source.
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