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
Right now, you need to go and do a bunch of manual work to validate those findings and so on.
Pretty soon, it's going to come with findings and you're going to be like, great.
Right.
In order to understand the landscape of AI and science, the first thing like fundamentally that you have to understand is that AI is about building models.
So for example, a language model, what is a language model?
A language model is fundamentally a model of human language.
It just so happens that when you build a model of human language, it learns how to think like a human in some sense, because humans encode their thoughts in language.
This is one of the greatest discoveries, certainly of the 21st century, maybe of all time.
So similarly, when we talk about AI in science, what you have to think about is that you are modeling things.
That is what AI does.
And there are kind of two fundamental categories.
There's modeling the natural world, right?
And there's modeling the process of doing science.
These things are fundamentally different.
And the reason to make this distinction is because, you know, what we are doing, right?
We are modeling the process of doing science.
The other side of the AI for science world is building models that can, for example, predict the structure of proteins, that can generate a new antibody, that can create a new organism from scratch, which are all things that have kind of like happened in 2025 where there's just a huge amount of momentum.
So it's absolutely what's most exciting right now, I think, without a doubt, is this trend towards what we call generative models.
So these are things where these are models that can produce examples of, you know, proteins or antibodies or whatever that have desired characteristics basically from scratch.
This is a new capability that we have never had before.
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