Sam Rodriques
speaker
345 appearances
1 recordings
1 series
first heard Dec 2025
last heard 26 Dec
Sam Rodriques’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 Dec 2025 with 1.
Appearances
I think that one of the reasons is exactly what you just said.
It's just familiar, right?
But the other reason is that you can measure progress, right?
So ultimately, like what drives progress in machine learning, a big part of what drives progress is benchmarks.
With math, you can tell whether or not your proof is right.
And there's kind of like an infinite number of things to go and prove.
So it's just like really easy to tell whether or not you're getting better.
And things like the IMO just present like great opportunities.
By contrast, if you look at like some of the biggest breakthroughs recently, you know, biggest breakthroughs this year in AI for biology, right?
Things like, you know, Chai Discovery, Nabla coming up with these like extremely good models for producing antibodies de novo, right?
Huge breakthrough, but like,
Ultimately, the win for them is going to be like when it's approved in a human and that might be another five years or something.
Ark Institute putting out like the first time anyone has designed an organism from scratch, they designed a bacteriophage.
It's the kind of virus that infects bacteria.
Yeah.
incredible right uh but like just harder to evaluate like how good is it like you're not going to release it into the wild and so etc like it's harder to evaluate whereas like the imo is just like super clean and so i think that's one thing that we think about a lot is just like you know how do we get really clear benchmarks that we can pursue to measure whether or not we're doing a good job at science i have an i have an answer here international cancer curing olympiad
No, look, I mean, I think that they are...
reasonable people could disagree.
There are lots of reasons why you could argue that, like, actually the models will get super smart and they will figure out ways to measure whether or not we're making progress before you run a clinical trial and that will increase the iteration cycle, right?
Like, there are reasonable arguments to be made about that, right?
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