SipYouTube will let you build your own algorithm with AI | TechCrunch
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Summary
YouTube has unveiled a new feature called custom feeds, which empowers users to create their own video recommendation algorithms using AI. This innovative functionality leverages Google's Gemini model, enabling users to input specific prompts that define the types of videos they wish to see. The goal is to enhance user engagement by providing more personalized content, thereby improving the overall viewing experience on the platform.
Takeaways
- YouTube's custom feeds allow for personalized video recommendations based on user-defined prompts.
- The feature utilizes Google's advanced Gemini AI model to tailor content suggestions.
- This move aims to boost user engagement and satisfaction on the platform.
Why it matters
This development signifies a shift towards more user-controlled content curation in digital platforms, potentially reshaping how audiences interact with media.
PMs
For product managers, this feature highlights the importance of user-centric design and the potential for AI to enhance personalization in product offerings.
Developers
Developers should note the integration of advanced AI models like Gemini, which can inspire similar applications in their own projects for personalized user experiences.
Students & job seekers
Students and job-seekers should recognize the growing demand for skills in AI and user experience design, as platforms increasingly prioritize personalization and user control.
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TechCrunch AI
YouTube will let you build your own algorithm with AI | TechCrunchYouTube’s new custom feeds let users describe the videos they want to see in their own words, then use Gemini to build a personalized feed around the request.