“And of course, as we ramp these investments, we will also continue to carefully manage headcount and other expense growth throughout the company.”

In context

“s, revenue flowing through those has more than doubled since last year. We're also going to continue to be very focused on efficiency as we scale Meta AI and other AI services. Some of this will come from improving how we train and run models. Some improvements will come from the open source community, and we're improving cost efficiency is one of the main areas that I expect that open sourcing will help us improve similar to what we saw with Open Compute. We'll also keep making progress on building more of our own silicon. Our Meta training and inference accelerator chip has successfully enabled us to run some of our recommendations-related workloads on this less expensive stack. And as this program matures over the coming years, we plan to expand this to more of our workloads as well. And of course, as we ramp these investments, we will also continue to carefully manage headcount and other expense growth throughout the company. Now in addition to our work on AI, our other long-term focus is the metaverse. It's been interesting to see how these 2 themes have come together. This is clearest when you look at glasses. I used to think that AR glasses wouldn't really be a mainstream product until we had full holographic displays -- and I still think that, that's going to be awesome and is the long-term mature state for the product. But now it seems pretty clear that there's also a meaningful market for fashionable AI glasses without a display. Glasses are the ideal device for an AI assistant because you can let them see what you see and hear what you hear. So they have full context on what's going on around you as they help you with whatever you're trying to do. Our launch this week of Meta AI with Vision on the g”