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Demis Hassabis quote, Feb 28, 2024

CEO, Google DeepMind · Feb 28, 2024 · Interview, Dwarkesh Podcast: Scaling, Superhuman AIs, AlphaZero atop LLMs

In terms of your question of large models, I think we’ve got to push scaling as hard as we can and that’s what we’re doing here.

Primary source

Words found on the source page on Sep 25, 2026.

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And actually, I would be really worried for humanity given the other challenges that we have, climate, aging, resources, all of that if I didn’t know something like AI was coming down the line.Jul 23, 2025· Interview
And I was expecting this because more and more people are finally realizing, leaders of companies, what I’ve always known for 30 plus years now, which is that AGI is the most important technology probably that’s ever going to be invented.Jul 23, 2025· Interview
And it sort of fits with the way I think about physics in general, which is that I think information is primary, information is the most sort of fundamental unit of the universe, more fundamental than energy and matter.Jul 23, 2025· Interview
And we’re probably close, and again in the next five years to having AI systems that can materially help with those problems.Jul 23, 2025· Interview
I think there probably needs to be 10 times more effort of that than there is now as we are getting closer and closer to the AGI line.Jul 23, 2025· Interview
I think there’ll be new jobs we can’t even imagine today, just like the internet created.Jul 23, 2025· Interview
So I wouldn’t be surprised if we had AGI-like systems within the next decade.Feb 28, 2024· Interview
So my betting would be that the final AGI system will have these large multimodal models as part of the overall solution, but they probably won’t be enough on their own.Feb 28, 2024· Interview
The better your world model is, the more efficient your search can be.Feb 28, 2024· Interview
Quote
An AI with more real layers can actually be “smarter” in the conventional sense of the term.Scott AlexanderSep 24, 2026· Post
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.Scott AlexanderSep 24, 2026· Post
The science of reading these thoughts is a subfield of AI interpretability, which is still in its infancy.Scott AlexanderSep 24, 2026· Post
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.Scott AlexanderSep 23, 2026· Post
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.Tyler CowenSep 22, 2026· Post
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.Ben ThompsonSep 21, 2026· Post
About this quote
Said by
Demis Hassabis, CEO, Google DeepMind
Where
Dwarkesh Podcast: Scaling, Superhuman AIs, AlphaZero atop LLMs
Topics
Compute, Research
Company
DeepMind
Source
dwarkesh.com/p/demis-hassabis

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