Gus Stocker
speaker
73 appearances
1 recordings
1 series
first heard Mar 2026
last heard 20 Mar
Gus Stocker’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Mar 2026 with 1.
Appearances
Welcome to the Future of Life Institute podcast.
My name is Gus Stocker, and I'm here with my colleague, Emilia Jaworski.
Emilia, welcome to the show.
Great.
You have a new essay called AI versus Cancer.
That's a long walkthrough of everything we know about what AI can and can't help with when it comes to cancer.
So maybe we want to start with you and your sort of background and credentials, and then talk a little bit about the problem of cancer before we get into the meat of the essay.
Yeah, great.
So maybe let's start with that promise.
Maybe describe to me what does that promise look like from the AI companies?
What do they believe about how AI will cure cancer?
Yeah, I guess the underlying assumption, if I'm sort of naively sketching it out here, it looks something like with sufficient intelligence, we could cure cancer.
And so we need to develop super intelligence and that will allow us somehow to cure cancer.
We don't know how because we are not smart enough, but a super intelligence would be smart enough.
Now, that is an assumption you question throughout the essay.
Tell us about whether intelligence is the actual bottleneck to curing cancer.
So one thing you often hear is that there's a bunch of data in biology and data is exactly what we need to train models to actually solve problems.
So is it the case that we're sort of drowning in data?
And does this mean that there's an untapped potential here like there was with language models where we had all this internet data and we could suddenly sort of having them mimic a human language and thought?
Is there a lot of biological data?
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