Lenny Rachitsky: belief

Transcript context

…Yeah. And I think this goes back to actually what you were saying too, which is I think this idea of what is the... There's like a coil spring. There's an intelligence overhang that I just see across the board. And I think the part of product development has to almost rewire ourselves to, I think, Tobi from Shopify calls it the reflexive AI usage. And that's not as easy, and I've been thinking about why. Basically, I mean, I have a cheesy Chrome extension. Literally whenever I open a new tab, it just says, "How can you use AI to do what you're going to do right now?" It's very cheesy, but it kind of helps to pause and think, "Oh, what am I trying to do here?" But the reason I find it hard, and when I talk even people who are living and breathing in this space, they find it hard is that the updating of the priors is really hard. The models couldn't do some things one year ago. I mean, image generation was full of spellings or reasoning. You just couldn't have deeper and smarter answers. You couldn't do data analysis. So my impression of it from change, trying it a few months ago, that prior needs to be updated. And it's hard to do that, right? You have to do something almost counterintuitive and against the grain to say, "No, no, ignore what you learned about what this can or cannot do." The baby just grew up to be a 15-year-old in a month. I think that last point is so important that we've tried these tools over the years. And so far, it hasn't been amazing and then all of a sudden it is, and you kind of don't know that and you've given up almost and things change. I think that's actually... If you are a product builder listening to it, that's a really interesting arbitrage thing for you. If you can kind of cut against the grain and say, "No, I won't have that scar tissue around." This didn't work a few months ago and keep setting high expectations and demand more of the AI today, I think you can unlock more.…

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