“The research says that it takes as few as 50 or 100 documents to poison a public-facing AI with bad information. So the implication is I should be able to get good information in there. We'll turn that to good. But it's a lot of work and it's very hard to control.”

Probabilistic, which is AI, machine learning, and all that, you know, broadly, that whole bucket of things, one plus one is sometimes a different number. Usually it's two, but maybe not. And so at the end of the day, the question is: how deterministic does your content need to be? How predictable do you need it to be? And what are the use cases where predictability is critical? And what are the use cases where having it be more probabilistic and giving you the average of what's in the database is acceptable? That's the determination that you have to make. And so there's a lot of really fascinating questions about how you deal with this and what you do and what are your standards. Now, I think the brutal reality is that for product and technical content, generally the standard has not been that high. Like a lot of this content's not very good. And so just getting it to average feels like an improvement potentially. So here we are.