YouTube announced a new feature called custom feeds, which enables users to create personalized video recommendation feeds. Users can input descriptions of the content they wish to see, such as specific interests or moods, into a prompt box.
The custom feed creation process utilizes Google's Gemini AI model. This allows for detailed and lengthy requests, enabling users to specify what content to include, exclude, and prioritize within their personalized feeds. The resulting feeds are then accessible via a dedicated tab at the top of the YouTube homepage.
This development follows a trend seen across other social networks that have introduced tools for users to customize their content feeds. Examples include Bluesky's early popularization of the concept, its AI tool Attie, and similar features from Meta's Threads, Instagram, X, and Spotify, many of which also leverage AI.
YouTube states that custom feeds will assist users in exploring the platform's extensive video library, which contains over 20 billion videos. Emily Moxley, VP of Product Management for Viewer AI, noted that the feature provides an additional way for users to access content tailored to their immediate needs or interests, complementing the main recommendation feed.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
One email each morning: the day's tech stories, clustered across outlets and summarized. No account needed.
One email a day. Unsubscribe in one click, any time.
Spend a few minutes, get the whole day. Every topic's top stories in one hands-free rundown — listen, watch, or read the transcript.
▶ Play today's briefNew every morning, and the back catalogue is archived by date.
YouTube launched a new feature called custom feeds, allowing users to describe desired video content using natural language prompts to generate personalized recommendation feeds. This feature, powered by Google's Gemini AI, aims to help users navigate YouTube's extensive video library by creating interest-specific or mood-based feeds.