Spotify has announced a new function that allows users to create personalized AI playlists using written suggestions, following the popularity of its AI DJ feature. Beyond traditional playlist creation based on genres or eras, Spotify's AI facilitates the crafting of more personalized and diverse playlists. Users can request playlists inspired by a wide array of themes, from specific activities and characters to colors and emojis. Spotify points out that the most engaging playlists emerge from prompts that skillfully mix genres, moods, artists, and historical periods. This tool will first be available to Android and iOS users in the United Kingdom and Australia, and it will evolve through subsequent generations.
Spotify's method is revolutionary in that it combines large language models (LLMs) with deep customization technology, which tailors playlists to individual listeners' past preferences and tastes. Users can fine-tune their playlists by adjusting for mood or genre and removing undesired music with a.
The feature's development was hinted at in October 2023, when tech enthusiasts found references to AI playlist generation in Spotify's app code. Spotify acknowledged its experiments with AI-driven playlist building in December, following a TikTok video showcasing the technology in operation.
The AI Playlist option, available under the "Your Library" menu, stands alongside current playlist and mix options, promoting creativity with provided prompts for individuals looking for inspiration. Spotify guarantees that the AI follows ethical criteria, avoiding answers to offensive cues, current events, and specific businesses.
This breakthrough is part of Spotify's continued investment in AI to improve its service offerings, which also includes the AI DJ expansion and research into AI for podcast summaries, audio adverts, and maybe cloning podcast hosts' voices for more targeted advertisements. This comes after the earlier announcement of Niche Mixes, a forerunner to AI playlist generation, albeit without AI integration and with more limited language possibilities.
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