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Facebook is building artificial intelligence to understand everything you post

Facebook is building technology intended to understand, at near human accuracy, all of the things its users post on the network.

That's according to Hussein Mehanna in an interview with Recode last week. He's the engineering director for Facebook's core machine learning, part of the broader applied machine learning team tasked with infusing artificial intelligence and deep learning technology into the company's existing products.

Deep Text uses neural networks, a subset of AI and deep learning intended to mimic activity of the human brain, to understand written language so that it can then act accordingly.

So instead of simply using keywords to categorize posts so you can find them later, Facebook would be able to understand the meaning of a post and make recommendations or take action as a result.

Google, Facebook's chief business rival, is also pushing similar AI tools that tap data from its users — on search, YouTube and maps, etc. — to direct consumers to other online services and offline commerce.

Understanding everything on Facebook is no small feat. Users post hundreds of thousands of new items every minute in dozens of different languages. But Facebook claims it can already process 10,000 posts every second in 20 different languages using Deep Text, and it's starting to deploy the technology to its user base, albeit for a very small number of use cases.

Deep Text currently does two things in the wild:
Ride hailing — If you use Facebook Messenger to tell a friend you need a ride (or something similar), Facebook will automatically surface a small alert asking if you'd like to request an Uber or Lyft.
Selling on Facebook — If you post that you're looking to sell something, like an old bike, Facebook will detect that you're trying to sell a product and automatically recommend its selling tools.

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