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How to Find the Correct Abstraction for Things
I think my process has changed over time, but it's kind of saturated now into putting the product hat on and talking to a lot of people. Like oftentimes, especially in the ML world, when you ask people what their pain points are, it's not their pain points. So like going, like looking at them as they do their workflows, what part of the workflows is amenable to automation and what's not? I think a lot ofpeople also don't have a good sense for like what's amenable and what’s not. You want to automate the thinking that data scientists or data engineers do. It's quite uncomfortable, because you have some product that