Is Sienna Rose the Future of music-Or a Sophisticated AI Illusion?
A rapidly rising artist with millions of streams and a growing fanbase is captivating listeners, but mounting evidence suggests Sienna Rose may not be a person at all. The burgeoning success of Rose-whose dreamy, jazz-infused soul tracks have landed three songs in Spotify’s Viral Top 50, with her hit “Into The Blue” exceeding five million plays-is raising profound questions about the authenticity of music in the age of artificial intelligence.
The first red flags were raised by streaming service Deezer, which has been developing tools to identify AI-generated music. According to a company release, “many of her albums and songs on the platform are detected and flagged” as computer-generated. A closer examination reveals a pattern of behavior inconsistent with that of a typical emerging artist. Rose has no discernible social media presence, has never performed live, and has released an astonishing volume of music in a remarkably short period.
Between September 28th and December 5th, Rose uploaded at least 45 tracks to various streaming platforms-a pace that would challenge even the most prolific musicians, like the famously restless prince. Her previously active Instagram account featured a series of strikingly similar headshots, all bathed in the ethereal, often unrealistic lighting characteristic of AI image generators. Further complicating the picture, albums of folk and ambient music credited to Rose have appeared on Tidal, featuring different vocalists in the artwork.
The music itself, while appealing to many, offers further clues. Songs like “Into The Blue” and “Breathe Again” echo the styles of established artists like Norah Jones and Alicia keys, blending jazzy guitar lines with smooth vocals.However, many listeners have identified subtle “AI artefacts” within the tracks. A consistent,faint hiss present in songs like “Under The Rain” and “Breathe Again” is a common byproduct of music generated using applications like Suno and udio,which build compositions from layers of white noise.
“When the [software] adds all the layers and the instruments,it introduces errors,” explained Gabriel Meseguer-Brocal,a senior research scientist at Deezer. “They’re not perceptual, we cannot listen to them, but they’re easy to spot if you do a few mathematical operations.” These errors, he says, create a “unique signature” that can identify the specific software used to create a piece of music.
Beyond the technical indicators, the music’s characteristics have also sparked suspicion. Listeners have noted inconsistent drum patterns, generic lyrics, and a vocal performance that rarely deviates from the melody or builds to a powerful climax.”I was like, ‘I like this,’ but there
