I tried the Spotify app for ChatGPT and now AI knows my music taste better than I do (www.techradar.com)

OpenAI’s new ChatGPT apps include a Spotify integration that the author tested by linking their account (OAuth access to listening history and metadata). Once connected, ChatGPT analyzed listening patterns—time-of-day habits, genre blend and recent plays—and produced surprisingly accurate portraits of taste. It also performed practical music tasks: surfacing obscure tracks from short, fuzzy memories (finding “Put Down the Duckie” from a few clues), surfacing under-the-radar artist recommendations, and auto-generating themed playlists like a 20-track “Highway Punk” and a kid-friendly “Jazz Hands & Juice Boxes.” Technically this highlights how large language models can combine natural-language prompts with streaming-platform APIs and user-level data to do personalized search, recommendation and playlist curation. For AI/ML practitioners it’s a neat demo of multimodal pipeline design—prompt parsing → API queries to a catalog → ranking/selection informed by user history—while raising product and privacy implications: model-driven personalization can boost discovery and engagement but depends on granted access to listening history and metadata, and may reproduce genre biases or mainstream suggestions. It’s a practical example of LLMs augmenting domain-specific apps rather than replacing expert human curators.