METAMeta Platforms, Inc.

“These multiyear cloud deals and our infrastructure purchase agreements drove a $107 billion step-up in our contractual commitments this quarter.”

“the annual revenue run rate of our value optimization suite now over $20 billion, more than doubling year-over-year.”

“its revenue run rate more than doubling year-over-year in Q1 to $10 billion.”

“we introduced a new adaptive ranking model, which enables us to leverage LLM scale model complexity of 1 trillion parameters, and we made advances in the model architecture and codesign the system with the underlying silicon, so it maintains the sub-second speed that is required to serve ads at scale. We also developed an approach that intelligently routes request more compute-intensive inference models if it determines that there is a higher probability of conversion and that lets us drive both better performance and increased inference ROI.”

“The Meta AI business assistant has now been fully rolled out to all eligible advertisers on supported Meta buying services, providing personalized recommendations to advertisers, resolving account issues, and servicing campaign insights to help optimize results. Performance has been strong since we began testing the assistant in Q4 with common account issues being resolved at a 20% higher rate.”

“Usage of our ad creative tools is also scaling with more than 8 million advertisers using at least one of our Gen AI ad creative tools and particularly strong adoption among small- and medium-sized advertisers. These tools are benefiting performance as well with advertisers using our video generation feature seeing more than 3% higher conversion rates in tests.”

“On Instagram, the ranking improvements that we made in Q1 drove a 10% lift in Reels time spent. On Facebook, total video time increased more than 8% globally in Q1, the largest quarter-over-quarter gain in 4 years. Within the U.S. and Canada, ranking improvements we made drove a 9% increase in video watch time on Facebook in Q1.”

“we introduced a new adaptive ranking model, which enables us to leverage LLM scale model complexity of 1 trillion parameters, and we made advances in the model architecture and codesign the system with the underlying silicon, so it maintains the sub-second speed that is required to serve ads at scale.”

“also using AI to unlock more inventory by auto translating and dubbing videos into a viewer's local language, enabling us to recommend a more diverse set of content. Over 0.5 billion users on each of Facebook and Instagram are now watching AI translated videos weekly.”

“we are rolling out more than 1 gigawatt of our own custom silicon that we're developing with Broadcom, as well as significant amount of AMD chips to complement the new NVIDIA systems that we're rolling out as well.”

“enhancements we made to Lattice's modeling and learning techniques, along with advances in our GEM model architecture, drove a more than 6% increase in conversion rate for landing page view ads.”

“In Q1, we expanded coverage of our adaptive ranking model to support off-site conversions, which drove a 1.6% increase in conversion rates across the major surfaces on Facebook and Instagram.”

“we're seeing similar games within Meta AI following the broad rollout of our new model with double-digit percent increases in Meta AI sessions per user.”

“We now have more than 10 million conversations each week being facilitated through business AIs, up from 1 million at the start of the year.”

“same-day posts now representing more than 30% of recommended reels on both Instagram and Facebook more than double the levels 1 year ago.”

“We're already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year.”

“our AI glasses continue to perform well with the number of people using them, daily tripling year-over-year.”

“Spark has already made Meta AI, a world-class assistant that leads in several areas related to our vision of personal super intelligence, including visual understanding, health, shopping, social content, local, creating games and more. We're hearing very positive feedback on it so far. We've seen large increases in Meta AI use since releasing the updates, and the Meta AI app has consistently been near the top of the app stores as well.”

“We are seeing more and more examples where one or two people are building something in a week that would have previously taken dozens of people months. And I want to make sure that Meta is the best place in the world for these types of people to come and make an impact.”

“we are increasing our infrastructure CapEx forecast for this year. Most of that is due to higher component costs, particularly memory pricing, but every sign that we're seeing in our own work and across the industry gives us confidence in this investment.”

“we doubled the length of user interaction sequences we use for training on Instagram in Q1 and increase the richness of how each user interaction is described, enabling our systems to develop a deeper understanding of user interests.”

“This year, we will continue scaling up our models in several dimensions, including their size and complexity, while incorporating LLM to deepen content understanding across our platform. This will enable us to better match people to a wider variety of content aligned to their interests. At the same time, we are executing on our longer-term efforts to develop the next generation of our recommendation systems. This includes building foundation models that power organic content and ads recommendations as well as developing LLM based recommender systems.”

“We're also working on using Spark in our upcoming models to improve our recommendation systems and core business in Facebook, Instagram and ads. Right now, our apps primarily help people accomplish 3 important goals: connecting with people, learning about the world and entertainment. But we've always wanted our apps to understand more of people's goals so we can help improve their lives in all the ways that they want. These new AI models will”

“self-improvement is really important because you can't build a leading AI product if you don't have leading models. So -- and you're not going to have leading models in the future if your models can't improve themselves, right? So you're getting to a point where today, the models are still able to learn from people -- and then I think at some point, the models will have to improve themselves.”

“We are building a personal agent focused on helping people achieve the diverse goals in their lives. We're also building a business agent focused on helping entrepreneurs and businesses across the world, use our tools and others to grow their efforts, reach new customers and serve existing customers better. These agents will work together to form an ecosystem.”

“business AIs today are currently free for most businesses on our messaging apps. But as we make more progress, we expect that we will also work towards establishing a longer-term monetization model. And we'll also consider other services services that we can offer to businesses in the future, but we don't have anything more to share today.”

“Our biggest milestone so far this year has been the release of our Muse family of models and our first model MuSpark along with a significantly upgraded new version of Meta AI. This was the first release from Meta Super Intelligence Labs, and it shows that our work is on track to build a leading lab.”

“AI agents get better when you fully optimize the stack. That's why we believe that we need to be a company that builds frontier models in addition to building the agents. And then in order to do that, you, of course, need to build your infrastructure in order to be able to do that well.”

“Our investments will support our training needs for future models and most importantly, provide us the inference capacity necessary to deliver personal and business agents to billions of people around the world, along with several other AI product experiences we're developing.”

“Our experience so far has been that we have continued to underestimate our compute needs even as we have been ramping capacity significantly as the advances in AI have continued and our teams continue to identify compelling new projects and initiatives.”

“it is also becoming more critical to how we work at a -- as we are entering a world where employees are managing agents to help them generate new ideas, run experiments, execute tasks and build products.”

“We're very focused on leveraging AI tools to substantially increase our productivity, and we're seeing that reflected in the accelerating output from our engineers.”

“We believe a leaner operating model will allow us to move more quickly while also helping to offset the substantial investments we're making.”

“The growth in employee compensation was driven by technical hires we've added over the past year, particularly AI talent.”