An AI copycat of King Gizzard & the Lizard Wizard went unnoticed on Spotify for weeks

Spotify has announced the testing of a new feature called 'Prompted Playlists,' which allows users to write prompts for playlists that will generate unique song selections based on their previous listening behavior. This marks a significant shift in how users can interact with the platform's algorithm, providing them with more personalized music experiences.

Spotify has introduced a new playlist feature that enhances user control over its recommendation algorithm, allowing users to tailor their music suggestions more effectively. This update signifies a shift towards greater personalization in the streaming experience.

Spotify is testing a new feature called 'Prompted Playlists,' which utilizes AI to create personalized playlists based on users' listening history and world knowledge, refreshing them daily or weekly. This initiative aims to enhance user engagement by allowing for a more tailored music experience.

Spotify has announced the introduction of the Prompted Playlist feature, allowing users to influence the algorithm and create customized playlists. This initiative, highlighted by incoming co-CEO Gustav Söderström, marks a significant step towards enhanced personalization in the music streaming experience.

King Gizzard and the Lizard Wizard have publicly expressed their frustration over an AI-generated clone of their music appearing on Spotify, which they found unacceptable. This incident follows their decision to remove their music from the platform in protest against CEO Daniel Ek's connections to military technology. The band’s reaction highlights the growing concerns surrounding AI's role in music production and copyright issues.

Australian band King Gizzard and the Lizard Wizard expressed their dismay over the appearance of an AI-generated clone on Spotify, following their decision to remove their music from the platform in protest against its CEO Daniel Ek's ties to military technology. The band’s frontman lamented the implications of AI in music production, highlighting concerns over authenticity and artistic integrity.

A new study introduces GAMENet, an innovative multimodal deep learning architecture designed to predict music popularity prior to a song's release. This approach addresses key limitations in existing methods by integrating modality-specific experts for audio, lyrics, and social metadata, utilizing an adaptive gating mechanism to enhance prediction accuracy.