SoundCloud

Deezer launches cross-platform AI music detector

Deezer has published a free cross-platform tool that scans user accounts and playlists for AI-generated music. The company says 43% of users who switch from other services to Deezer have AI tracks in their playlists, often unknowingly. Deezer reports being flooded with roughly 75,000 AI-generated tracks per day (over two million per month) and estimates about 44% of new releases are AI-generated. The detector is compatible with 20 apps (including Spotify, Apple Music, Soundcloud and YouTube Music), supports 27 languages, and lets users share analysis results; it does not, however, mark which individual songs are AI-generated. Deezer has previously filed patents for detection technology and actively removes or demonetizes suspected AI tracks from recommendations and editorial playlists.

Deezer launches tool to detect AI-generated songs

Deezer has released a free cross-platform AI music detector that lets users scan playlists on 20 apps (including Spotify, Apple Music, SoundCloud and YouTube Music) to check for AI-generated tracks. The detector supports 27 languages and can connect to a user’s account to analyse and share results, but it does not reveal which specific songs are flagged. Deezer says it removes AI-generated music from recommendations and editorial playlists, reports being flooded with nearly 75,000 AI titles daily (~2 million monthly), and claims around 85% of flagged AI tracks can be demonetized as fraudulent. Deezer filed two patents for its detection technology in December 2024 and cites studies showing many listeners cannot reliably identify AI music and want clearer labelling.

Monitoring & Observability Primer: Prometheus and Grafana

An educational technical article introducing observability for cloud-native systems. It explains why observability matters as infrastructure becomes distributed, defines the three pillars (metrics, logs, traces), and describes why metrics are typically implemented first. The piece presents Prometheus (an open-source, CNCF-maintained monitoring and alerting system originally from SoundCloud) and Grafana (visualization platform) as a common monitoring stack, outlines Prometheus components (server, exporters, Alertmanager, time-series storage), and gives step-by-step development and Kubernetes deployment examples (Docker run commands, Helm install kube-prometheus-stack). The article also surveys common monitoring, logging, and tracing tools and previews a Part Two focused on logging and tracing technologies.