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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Recordings per month over the last 12 months — 1 in all, peaking in Jan 2026 with 1.

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So we use that for things like um like machine learning experiments, you know, if we want to know like this question about whether it's better to pre-train first on noisy data or not.
Um
We have like pre-release models that that are coming out and we try those, but um
Yeah, so I guess like yes, we do.
And we do have like research partnerships with with companies where we like build something specific for them and that is something we think about.
Yeah.
But broadly I would say Cosmos that's on the website is pretty close to to what is the best we have internally.
I think
Uh I I would say yes.
I still believe that um that so so in that article, the opinion article, my my point was that uh
you know, at the time when I wrote that article, which I think maybe three years ago now or something, maybe twenty twenty three, um it it was that
We have models for predicting solubility of compounds.
We have like data about for large populations and we have like papers and we have code and
And the only way to bridge all that information is natural language.
And and the argument was that like humans, like
You know, whenever we can't bridge information, like if I can't talk about my code or I can't talk about some idea to you, I will invent words until I can get the point across, right?
And that humans are always innovating on language to make it represent all known observations and people innovate in language to represent whatever code pattern they have, right?
Like this is like the the only shared activity we've been doing for this long is like coming up with words to represent everything we know.
And so I think to that for that reason, natural language is the only possible way to connect all the different pieces of data we need in biology medicine or any domain for that matter.
Um, I think there's some caveats to this of like, you know, you can make an argument.
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