Noah Weiss: belief

Transcript context

…On that topic, how do you think about creating teams within Slack and AI specifically? Are you recommending each team think about how AI can make their stuff better or are you dedicating, "Here's the AI team and they're going to work on stuff" and you guys just keep ship what you're shipping and keep moving your metrics? I mean the unfair answer is a hybrid of the two, which is to say we have a central machine learning and search team. But a lot of people have expertise in this field to build infrastructure that everybody can use. What we've done is because the space is evolving so quickly, literally every month, the capabilities are evolving, the risks and tradeoffs are evolving a ton. What we want to do is actually spin up a couple different teams that are focused on prototyping, using that common infrastructure but in specific directions that are all a little bit different. We've got a common ML, let's say in search team and now we have a bunch of teams that are working in parallel and different customer problems that we're trying to solve using that shared infrastructure. I think this isn't the steady state. I think over time, what it'll probably look like is that all the existing product areas, as soon as we know more of the shape of what the technology is capable of will just have AI capabilities as part of their roadmaps. Just like every product team is responsible for their own mobile roadmap. They don't outsource it to someone else. But I think today when things are moving so quickly, you actually want a little bit of a more ad hoc, flexible approach to move quickly and that's what we're doing. That's what I've been hearing from everyone I've been asking this question. The search ranking team is always seems to be the center of all this and then it's a few experiments here and there. That's an interesting pattern I've been noticing.…

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