Demis Hassabis

speaker

99 appearances 1 recordings 1 series first heard Nov 2025 last heard 18 Nov

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

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Recordings per month over the last 12 months — 1 in all, peaking in Nov 2025 with 1.

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Hard Fork · Google's Gemini 3 Is Here: A Special Early Look · 18 Nov 2025 podcast

So I think we're in that era.

And then, you know, as I said, my suspicion is, although we'll see, is that still one or two more breakthroughs are required, research breakthroughs are required to get all the way to AGI.

But in the meantime, you're going to obviously need as scaled a possible versions of these foundation models, multimodal foundation models that we're building today and still seeing great progress on.

I think, well, we've taken quite a long time on this model because it's frontier and has some new capabilities, and it's very capable, as you can see from the benchmarks.

And as Josh said, we make sure to not over-index internally on those benchmarks.

They're just a proxy for overall performance, and that's why we care about them across the board.

and then ultimately how our users experience them.

But we spend a lot of time on testing, safety testing, all the different dimensions with the safety institutes and also external testers that we work with as well, as well as, of course, doing a ton of internal testing.

So I would say this is our most thoroughly tested model so far.

Yeah, well, look, it's just making sure we've worked really hard on things like tool call usage and function calling and these kinds of things.

Obviously, they're super important for coding capabilities and developers want that and so on.

And it's very important in general for reasoning.

But it also makes them more capable for riskier things too, like cyber.

So we have to be sort of doubly cautious as we improve those dimensions for all the good use cases that we're continually checking on all those kinds of measures that they can't be misused.

I think it's too binary a question, I would say.

I think, I mean, my view on this is just strictly my own opinion, is that there are some parts of the AI industry that are probably in a bubble.

You know, if you look at like seed investment rounds being multi $10 billion rounds with basically nothing, it seems, I mean, there's talented teams, but it seems like that might be the first signs of some kind of bubble.

On the other hand, I think there's a lot of amazing work and value to, at least from our perspective that we see, that not only are there all the new product areas, so Gemini app, Notebook LM, but thinking more forward, robotics, gaming.

I mean, there's incredible uses of, and not just Gemini, but some of our other models, Genie.

You can imagine my old games paying background.

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