Tech Earnings Recap, Beautiful Data Centers | Mike Isaac, Kyle Harrison, David Marcus, Turner Caldwell, Everette Taylor, Puneet Mehta & Justin Wexler, Alexander Embiricos
You know, same for like managing tasks, you know, tracking issues coming out of a bug bash or like pre-launch, we do this thing where I'll have Codex monitor a bunch of channels I'm in with internal and external users.
Tech Earnings Recap, Beautiful Data Centers | Mike Isaac, Kyle Harrison, David Marcus, Turner Caldwell, Everette Taylor, Puneet Mehta & Justin Wexler, Alexander Embiricos
Like people basically have this thing that is like keeping track of all the information and just like helping them organize their day and like stay on top of things.
Tech Earnings Recap, Beautiful Data Centers | Mike Isaac, Kyle Harrison, David Marcus, Turner Caldwell, Everette Taylor, Puneet Mehta & Justin Wexler, Alexander Embiricos
It's really interesting as we design the product, like I like to think that we need to keep sort of all the rules and like sort of the heavy UI and stuff around the agent to a minimum because it kind of constrains how much better the product can get when we have a smarter model.
Tech Earnings Recap, Beautiful Data Centers | Mike Isaac, Kyle Harrison, David Marcus, Turner Caldwell, Everette Taylor, Puneet Mehta & Justin Wexler, Alexander Embiricos
So I'll give you the most powerful, I think, example of a use case I heard recently was this person on the growth team needs to figure out what experiments to run, and then they need to write code to run the experiment, and then they need to analyze the experiment.