Learning from videos to understand the world
“Today, we’re announcing a project called Learning from Videos, designed to automatically learn audio, textual, and visual representations from the data in publicly available videos uploaded to Facebook.
By learning from videos spanning nearly every country and hundreds of languages, this project will not just help us continuously improve our core AI systems for applications like content recommendation and policy enforcement — it will enable entirely new experiences.
This is also part of our broader efforts toward building machines that learn like humans do — from any example, not just ones where experts have labeled.
The first application is now live in Instagram Reels’ recommendation system.
Continuously learning from the world around us is one of the hallmarks of human intelligence. Just as we quickly learn to recognize people, places, things, and actions through observation, AI systems will be smarter and more useful if they can mimic the way humans learn. In just the last couple of years, we’ve made substantial breakthroughs in self-supervised learning across speech, vision, and language. These advancements have made AI systems less dependent on labeled data sets — a fundamental bottleneck on the pace of AI innovation — so that AI can start understanding the world through vast amounts of observational data like humans do…”