London, UK – Spotify, the popular streaming music service, is delving deeper into the realm of artificial intelligence by introducing AI playlists into beta testing. This new feature allows users to create customized playlists based on written prompts, expanding beyond traditional genre-based or time frame-based playlists. The beta version of AI playlists will first be available to users in the U.K. and Australia on Android and iOS devices, with plans for further enhancements in the coming months.
Using large language models (LLMs), Spotify’s AI playlists aim to understand user intent and preferences by incorporating a wide range of prompts. These prompts can range from simple requests like “songs to serenade my cat” to more complex ones like “beats to battle a zombie apocalypse.” The company suggests that the best playlists are generated when prompts include a mix of genres, moods, artists, and decades.
After generating a playlist, users have the option to further refine it using voice commands such as “less upbeat” or “more pop.” They can also remove songs by swiping left on them. Spotify leverages its understanding of users’ tastes and preferences to personalize the playlists created with this feature.
Spotify’s use of AI technology aims to enhance the user experience and offer more personalized content. This move follows the success of the AI DJ feature, which was rolled out globally and introduced users to a personalized song selection experience with the help of AI technology.
The company has also implemented guardrails around the AI playlists to ensure they do not respond to offensive prompts or focus on current events or specific brands. Additionally, Spotify has been actively investing in AI technology to improve its services, exploring possibilities such as podcast summarization, AI-generated audio ads, and even cloning podcast hosts’ voices for ads.
Overall, Spotify’s introduction of AI playlists showcases the company’s commitment to innovation and personalization in the music streaming industry. With the integration of AI technology, users can expect a more tailored and engaging listening experience tailored to their preferences and interests.