Michael I. Jordan: evaluation

Transcript context

…And if we did have epistemic, you know, quantification, what would be the the main uplift from that? Is it is it about, I I know I don't know something, so I'm going to kind of lean in and try and do more epistemic foraging in that area? Well, again, I think we're now in statistics land. You know, the statisticians are all about what species are present on the island. Have I sampled enough to know that there's not a new species? That's because these are classical areas of statistics. Optimal experiment design. For that subpopulation I don't have enough data, I'm making a bad inference. Data collecting in the context of inference, context of making assertions and doing that repeatedly, that's what statistics has long focused on. So I I think give them credit for handling a kind of active form of uncertainty reduction. But again, for me, uncertainty reduction in the large comes about from much broader sets of components, like a market. Like if I, and I use example in the paper where I wanna have a restaurant like this or pizza, and I need tomatoes. And so if I had to forage for tomatoes every day, that would be pretty uncertain whether I would have pizza that evening. But because there exists a market where someone else did the foraging, there's a stable amount of tomatoes every day. I can kinda can build my restaurant assuming that that's true. That my uncertainty for finding tomatoes went down, therefore I can build on top of that and do other things. Markets mitigate uncertainty. And they they don't do it because someone designed an optimal experiment design or ran or did some multi armed bandit, not directly. But because the market did try various things out, there's incentives for people to explore and exploit. Professor Jordan, it's been an honor having you on the show. Thank you so much.…

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