Demis Hassabis

speaker

292 appearances 1 recordings 1 series first heard Apr 2026 last heard 7 Apr

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 Apr 2026 with 1.

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 20VC: DeepMind's Demis Hassabis on Why AGI is Bigger than the Industrial Revolution | Why LLMs Will Not Commoditise & We Have Not Hit Scaling Laws | Bottlenecks in AI & The Energy Crisis Caused By AI | Whether AI Will Do More to Harm or Help Inequality · 7 Apr 2026 podcast

I don't think that's going to go away.

We're still seeing, you know, gains from the returns from the scaling laws.

I think the only question really is when you think about a future AGI system is, is an LLM foundation model going to be the key component only, or is it the total system, right?

So I just think it's a question of, you know, is there anything else needed?

I don't think it's going to get replaced.

I think it's going to get built on top of these foundation models, just like the way we do with our world models.

Well, I think on the positive side and the things obviously I've spent my whole career and life building towards AGI is I think it will be the ultimate tool for science and medicine.

So in terms of advancing scientific discovery, finding cures to diseases, I think we need that kind of technology.

And so I'm hoping in five years plus time, we'll be sort of entering a new golden era, golden age of scientific discovery.

Yeah.

So I think we'll get to that point soon.

First of all, what we're doing is, you know, after we did the AlphaFold project to do protein folding, then we spun out a company called Isomorphic Labs, which is doing extremely well.

And that is supposed to, you know, the idea there is we're focusing on solving the rest of the drug discovery process, which is a lot of chemistry, designing the compounds, checking it's not toxic and all the different properties you need for drugs to be safe.

I think we'll have that whole drug design engine ready in, you know, the next five plus five to 10 years.

Then you're right.

The next problem is the clinical trials still take many, many years, right?

But I think AI can help there in terms of simulating parts of the human metabolism of

also stratifying patients to make sure that certain patients get exactly the right type of drug that's suitable for their genomic makeup.

And so I think AI can help there too, but I think the real revolution will come when a few, maybe a dozen or so AI drugs get through the whole process, and then the government and the regulatory body see that,

and they have enough data to sort of back test the predictions of those models and then maybe what we can do will be in the future where maybe 10 further years where we can really just trust the predictions that the models are making and actually then maybe skip out some steps perhaps like the animal testing is not needed anymore maybe we can go up the dosage ladder quicker because you can rely on these models so i think we've got to do in two steps solve the drug design problem first and then look at the regulatory length of time it takes

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