Lenny Rachitsky: evaluation

Transcript context

…I mean, you said it on my behalf. Often, when there's questions about how is Netflix thinking about AI, it's great to remind people of exactly that point, that this is not new to us. That especially for personalization, it's been central to delivering a great experience to members. It's impossible to take the breadth of content that we have. There's ever more content, that's one of the challenges we face. And make discovery easier and easier and easier, which is one of the challenges that Netflix has. And using AI and ML has been a way to do that. You want to personalize right title for the right person at the right moment. That problem gets harder. The more exciting our catalog gets, the greater breadth of content we have, not just film and TV, but games and live and podcasts. Personalization becomes even more important and what that experience is. So, we can take a lot of that history and say, okay, well, now how do we solve this problem? Because the tech is even more powerful, but it gives us a running head start in being clear about the problem to solve, how important it is that Netflix solve that for our members. And then the same is true, as I was mentioning on the creative side of the house, AI and ML have been in things like visual effects or in localizing language for a long time. Now we say, what's the next era of that when the tech is more powerful? And in both cases, it ends up taking a strength that Netflix has, which is marrying entertainment, and technology, and making sure we stay ahead of the game to deliver things that are even better. So, I love that it's part of our history. It still continues to be a strength and it's going to have to be a strength, given the size of the challenges we're facing around the breadth of entertainment, while keeping a great experience. Yeah. And I love that back then it was called machine learning and AI was like, no, no, it's not AI. AI is never going to happen. It's just machine learning. Well, then all of a sudden, we call everything AI and some of it's machine learning.…

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