Demis Hassabis

speaker
3,420 appearances 27 recordings 18 series first heard Feb 2024 last heard 7 Jul

Demis Hassabis’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
16 · Jul OctJan 26AprJulnow

Recordings per month over the last 12 months — 23 in all, peaking in Jul 2026 with 16.

Appearances

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Sometime in early 2015, Elon and Demis had lunch.
Over lunch, Elon kept up his griping, effectively accusing DeepMind and Google of irresponsibility.
A month after their encounter, Elon received an email from Sam Altman.
The email he wrote to Elon said, I've been thinking a lot about whether it's possible to stop humanity from developing AI.
I think the answer is almost definitely not.
If it's going to happen anyway, it seems like it would be good for someone other than Google to do it first.
And you can see this as people begin to understand more and more of the importance of developing EGI.
You have all these other people that jump into this competition.
When a technology of infinite potential comes into view, there will never be a quiet consensus about who should control it.
With so much at stake, power, money, scientific glory, the future of humanity, conflict is unavoidable.
And so Demis is practical.
He knows the people he's dealing with.
He knows these kind of people are going to want to start their own thing.
Elon and Sam Altman team up to launch OpenAI, a not-for-profit lab explicitly aimed at breaking the Google DeepMind AGI monopoly.
Demis said, if you have powerful people who are able to understand the impact of the technology, they're not just going to sit on the sidelines.
They won't be content to just be your advisors.
So obviously what was going on was our supposed advisors were really our rivals, right?
And so then when I go back to this idea of using AI to generate this alien, like non-human ideas, they continue to improve AlphaGo.
Now they have this idea called AlphaGo Zero.
The idea is that rather than training the agent initially in expert human games, it would have to learn exclusively by playing against itself, by experimenting with random moves and discovering which ones generated a reward signal.
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