Meta Is Investing In An AI Model To Power Its Video Ecosystem

Estimated read time 3 min read

  • Meta is planning to create one centralized AI model that will manage its entire video ecosystem i.e. both short-form, reel-like videos as well as the videos that show up in your main feed.
  • The first step has already been taken, which is to change the existing recommendation system to GPUs.
  • By doing this alone, the company has been able to get 8%-10% more reel watch time.

Meta Is Investing In An AI Model To Power Its Video Ecosystem Meta has been taking big leaps in the AI industry – its giant AI model is the newest addition to it. Using this new AI model, they plan to zz.

Talking about the same, Tom Allison, the head of Facebook said that this is all a part of the “technology roadmap that goes to 2026”.

This will basically include creating an AI recommendation model that can power both the small reel-like videos as well as the longer videos.

As of now, Meta uses separate models for each product. For example, the model that supports short-form videos is different from the one that supports in-feed content. But that will all change with the new AI project they are investing in.

The inspiration behind this idea came last year when AI tools became more and more popular. The executives were literally speechless by the growing capacity of AI i.e. its power to handle millions of data and offer solutions within seconds. That’s when they decided that their video ecosystem needed something just like this.

By centralizing video recommendations, they’ll be able to create a more seamless experience for the users. For example, if you like a video in the reels section and interact with it, similar types of videos will be shown on your main feed as well, and vice versa.

Read More: Meta decides to form a team to prevent AI from tampering with EU elections

Why This Sudden Change Of Plans?

It’s believed that Meta is creating this AI model to catch up with TikTok. This social media app runs on a very powerful algorithm that perfectly recommends the right content to each user based on their behavior. It’s also one of the first apps to introduce short-format videos to the public; which gives them an extra edge.

Now, Meta tried other ways. For starters, it simply started pushing reels to more people and while that did increase reach, it just didn’t give the engagement Meta was hoping for. So to catch up, it was clear that it had to up its technology.

The first step in the process was to switch their current recommendation system to GPUs. As per reports, Meta has spent billions on Nvidia graphics processing units.

And this one simple change has allowed them to get 8%-10% more reel watch time. The next step will be to push this change across all products. By the end of this, they are hoping to increase not only watch time but also engagement and responsiveness from the user’s side.

Meta is also planning to add an AI-powered chatbot. This will help users get answers without waiting for another user to comment. For example, if a clip from a movie is posted, they can find the name through the chatbot instead of scrolling through the comments.

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