“I expect that improvements to our underlying foundation models will enhance the quality of the outputs that are generated and support new features on the road map.”

In context

“ce model performance and include support for even more objectives like web and app and ROAS. So there's a lot of work that we're investing in, in the underlying model architecture for both organic engagement and ads that we expect is going to continue to deliver increasing ads performance over time. The second question you asked was around getting advertisers to test and adopt gen AI tools. There are 2 flavors of this. The more near-term version is around the gen AI ad creative features that we have put into our ads creation tools. And it's early, but we're seeing adoption of these features across verticals and different advertiser sizes. In particular, we've seen outsized adoption of image expansion with small businesses, and this will remain a big area of focus for us in 2024, and I expect that improvements to our underlying foundation models will enhance the quality of the outputs that are generated and support new features on the road map. But right now, we have features supporting text variations, image expansion and background generation, and we're continuing to work to make those more performant for advertisers to create more personalized ads at scale. The longer-term piece here is around business AIs. We have been testing the ability for businesses to set up AIs for business messaging that represent them in chats with customers, starting by supporting shopping use cases such as responding to people asking for more information on a product or its availability. So this is very, very early. We've been testing this with a handful of businesses on Messenger and WhatsApp, and we're hearing good feedback with businesses saying that the AIs have saved them significant time while customer -- consumers noted more timely respon”