Grant Harvey

And would you ever have the AI be the one doing the what word to look up at some point?

Like, are you bullish on that idea?

Absolutely.

Or is this a hallucination?

How would you know that?

Actually, speaking of robots, unless you have another trade-off.

Go for it.

My concern with that approach, though, is that the current language models, they have a limit to their context, right?

So you must be using something else, or you can tell me what you think about this.

If you have this giant database of all this different molecular data, how do you make sure that it's considering absolutely everything when it's going to work here?

Do you get what I'm saying?

It's considering everything in terms of.

Like basically how do you prevent loss from happening with the context window when you're running an agent through this data?

I guess what I'm wondering.

And that makes sense because when you're doing a more specific run, you have a more constrained problem space.

So you're like, okay, we know it needs to focus in this area because we're looking for this chemical property.

That makes sense.

Yeah, I guess that was the thing that was throwing me off is like, I know LLMs have a context limit of a million.

So you can't necessarily put all the chemical data in the world in LLM and expect to get that.

Yeah, yeah, yeah, yeah, yeah.