Mike Krieger

And though they have fewer content or fewer content sources, the experience of tapping on each individual story, I think, is a lot better because those have been now formatted for a distribution that is, I guess, linked to some paid acquisition, which is different than what we were doing, which was like, here's the open web. We'll give you warts and all and link directly to you.

And though they have fewer content or fewer content sources, the experience of tapping on each individual story, I think, is a lot better because those have been now formatted for a distribution that is, I guess, linked to some paid acquisition, which is different than what we were doing, which was like, here's the open web. We'll give you warts and all and link directly to you.

And though they have fewer content or fewer content sources, the experience of tapping on each individual story, I think, is a lot better because those have been now formatted for a distribution that is, I guess, linked to some paid acquisition, which is different than what we were doing, which was like, here's the open web. We'll give you warts and all and link directly to you.

But I think your assessment feels right.

But I think your assessment feels right.

But I think your assessment feels right.

For us, it was, I mean, two things that I remained sad that we didn't get to see through. One was the idea of good recommender systems underlying multiple product verticals. So news stories being one of them, but I had the belief that maybe somebody will build out that.

For us, it was, I mean, two things that I remained sad that we didn't get to see through. One was the idea of good recommender systems underlying multiple product verticals. So news stories being one of them, but I had the belief that maybe somebody will build out that.

For us, it was, I mean, two things that I remained sad that we didn't get to see through. One was the idea of good recommender systems underlying multiple product verticals. So news stories being one of them, but I had the belief that maybe somebody will build out that.

If you understand yourself well through, or the system can understand you well through how you're interacting with news stories, how you're interacting with content, then is there another vertical that could be interesting? Is it around shopping? Is it around local discovery? Is it around people discovery, all these different places?

If you understand yourself well through, or the system can understand you well through how you're interacting with news stories, how you're interacting with content, then is there another vertical that could be interesting? Is it around shopping? Is it around local discovery? Is it around people discovery, all these different places?

If you understand yourself well through, or the system can understand you well through how you're interacting with news stories, how you're interacting with content, then is there another vertical that could be interesting? Is it around shopping? Is it around local discovery? Is it around people discovery, all these different places?

Because for all the promise, and I'll separate maybe machine learning and AI, and I realize that's a shifting definition throughout the years. Let's call for the purpose of our conversation, recommender system machine learning systems. For all their promise, my day-to-day is actually not filled with too many good instances of that product.

Because for all the promise, and I'll separate maybe machine learning and AI, and I realize that's a shifting definition throughout the years. Let's call for the purpose of our conversation, recommender system machine learning systems. For all their promise, my day-to-day is actually not filled with too many good instances of that product.

Because for all the promise, and I'll separate maybe machine learning and AI, and I realize that's a shifting definition throughout the years. Let's call for the purpose of our conversation, recommender system machine learning systems. For all their promise, my day-to-day is actually not filled with too many good instances of that product.

The big company idea was, can we bring Instagram type product thinking to recommender systems and combine those two things in a way that creates new experiences that aren't beholden to your existing friend and follow graph, with news being an interesting place to start.

The big company idea was, can we bring Instagram type product thinking to recommender systems and combine those two things in a way that creates new experiences that aren't beholden to your existing friend and follow graph, with news being an interesting place to start.

The big company idea was, can we bring Instagram type product thinking to recommender systems and combine those two things in a way that creates new experiences that aren't beholden to your existing friend and follow graph, with news being an interesting place to start.

you highlighted some good problems about the content, but the appealing part was we're not trying to solve the two-sided marketplace all at once. It turns out half that marketplace was already search-pilled and had its own problems, but at least there was the other side as well. The other piece, even within news, is really thinking about how do you eventually open this up?

you highlighted some good problems about the content, but the appealing part was we're not trying to solve the two-sided marketplace all at once. It turns out half that marketplace was already search-pilled and had its own problems, but at least there was the other side as well. The other piece, even within news, is really thinking about how do you eventually open this up?