Netflix has launched its AI Discover tab on supported television sets for English-language accounts in the United States, with broader distribution scheduled over the coming weeks. The feature organizes content into curated thematic categories like "something light" and "quick watches" while incorporating preview video clips. Viewers can also use interactive tools such as a "Tune Your Recommendations" button to fine-tune future suggestions by saving preferred titles or discarding unwanted options.
Key points
The experimental space operates as a test kitchen to determine which AI tools join the co…: The experimental space operates as a test kitchen to determine which AI tools join the core service.
The intelligence layer utilizes real-time learning to tailor video suggestions to viewing…: The intelligence layer utilizes real-time learning to tailor video suggestions to viewing preferences and time constraints.
Initial availability is limited to English-language accounts on supported television devi…: Initial availability is limited to English-language accounts on supported television devices within the United States.
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Netflix announced on Tuesday that it’s rolling out a new “AI Discover” tab where users will be able to experiment with new ways to find their next watch. The first experimental feature launching under the tab will allow users to get recommendations based on what they’re currently in the mood for.
Users can choose from curated themes featuring clips from shows and movies, based on their mood, viewing preferences, how much time they have, or what’s new and trending. Themes include “something light,” “scare me,” “family movie night,” “quick watches,” and more.
The addition of the new tab suggests that Netflix wants to make its growing library easier to navigate while shifting discovery away from an experience where users are endlessly scrolling through titles toward a more personalized and AI-powered experience.
Netflix says AI Discover is powered by a new intelligence layer it’s been building that responds to what users tell the platform in real-time and keeps learning.
Once users pick a theme, they’ll see matching recommendations. They also have the option to select more specific themes so they can…
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