Adam Mosseri
speaker
647 appearances
6 recordings
4 series
first heard Nov 2024
last heard 9 Jul
Adam Mosseri’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Jul 2026 with 1.
Appearances
I think taste matters a ton.
In a world where it's easier to build things, it's more important to make sure that your time is spent figuring out what you should be building in the first place.
The people who I think are going to make the most of it are the ones who are clear-eyed about what AI is good at and what it's not good at, and also have an instinct or a nose for what it will be good at and not good at.
I think people assume that there's a much more detailed semantic understanding of everybody's interests and preferences in the algorithm than there is.
I think it's going to be a tailwind, but I think it's going to be a challenge.
In a world where there's an abundance of synthetic content, I actually think people are going to seek out creativity and authenticity and people.
I don't think we should filter out AI content.
I think we should let you know if content is AI content or not.
That's hard, by the way.
It's changed a lot this year.
So for the longest time at a big company like ours, the canonical team was something like two or three Android engineers, two or three iOS engineers, two or three server engineers, maybe a generalist, a PM, a designer, a data scientist, a researcher, if you were lucky.
And maybe that's about it.
So, you know, on the order of a baker's dozen.
And that is a function of
you know you want to have for anybody who's writing code someone who can review their code and that's who's familiar with that code base and having these different functions that are more specialized you know i think it's very different at the startup but this year it's changing we've adopted
what we call pods, which are just mini teams where it's call it four to six engineers who are a bit more generalists.
One we call product staff, which is sort of an evolution of the PM.
So a PM who can do some of what a designer does and some of what a data scientist does and some of what a research does leveraging the latest tools that we have for them.
And then whatever specialist they need.
If they're doing something that requires a pricing strategy, you need a senior data scientist.
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