Andrew White

speaker

993 appearances 1 recordings 1 series first heard Jan 2026 last heard 28 Jan

Andrew White’s voice in public audio — every appearance, attributed to the second.

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Latent Space: The AI Engineer Podcast · 🔬 Automating Science: World Models, Scientific Taste, Agent Loops — Andrew White · 28 Jan 2026 podcast

Um it always felt like things were not going as fast as I thought.

But when you look back on it, wow, like there's a lot of progress.

And so I think the idea that I think in Future House Center, Sam actually regrets us writing this, but in the the original marketing or like the announcement is like it's our tenure mission automate science.

And then like now it's like, okay, yeah, yeah.

So two years later we we had Cosmos and um things are going so much faster and it

Also this kind of this this thing y you notice it in um in in San Francisco is like

It's actually kind of hard to find problems which are like so hard that like they are a challenge for language models, but not so hard that they're impossible.

And we're in this like gray zone, and actually I feel like that's where we are right now, is that we can actually automate so much of the scientific method because it turns out, especially in a field like biology, which is very empirical limited, you know, the top 1% guess or of you know what what they think will happen in an experiment in the

You know, the top, you know, quintile or quartile.

They're about equal.

And so, you know, even if you had an even if we wait ten years and get even smarter models, I don't think it's gonna really change the fact that we're ready to automate a lot of science with with existing LLMs.

So we try to draw a line between um what I would call uh uh groups that are trying to

model something like the cell or how protein's full or like how antibodies can be designed or like maybe the virtual cells like an example.

If they're trying to use machine learning or AI to model some very specific system, we're trying to automate the like cognitive process of scientific discovery, making hypotheses, choosing experiments to do, analyzing the results from experiments and using it to update your hypotheses or your confidence in those hypotheses.

And then leading to like a world model which

Of like, okay, this is how I understand this process to be.

And then that

you know, begets new hypotheses or new experiments.

So we want to automate that sort of loop.

We thought that we would have to build up like a whole new organization from the ground up for agents.

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