Jason Droege: belief

Transcript context

…That's really interesting. It's like the spectrum went from just low skill generous labor to experts to now the specific expert at this one company who needs to do this work, this labeling. Absolutely. I mean understanding what, there's this broad narrative. We have two narratives. We have the AGI, everything is just going to become AGI, and then there's the skeptics, which is like, "Hey, this is all bunk, this is a bubble, et cetera." And of course, my view is most things are kind of like there's truth in between and some of the extreme parts of the extreme probably correct, but the reality is is that it's very hard to get machine critical use cases in agentic systems where agents are talking to agents to a level of accuracy that is necessary to accomplish a goal. And one of the main issues is that a one document, think about the problem of even understanding a document, a document that reads the exact same words in company A will have a different meaning and importance in company B. So how do you have a system that knows that? So this is all got to be built. So if you're going to make good decisions. This is a good segue to this question that is always on people's minds when they look at companies like yours and the other folks in the space is just how long do we need people to be doing this? At what point will AI be smart enough to do it themselves? I know your incentives are to say we'll never run out of people because it's aligned with your growth, but just how should we think about just why do we need people, I don't know, in 10 years? How long do we need these experts telling AI things it doesn't know?…

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