Treblo Launches Open-Source AI Music Classifier That Confirmed 'Rubberz' Was AI-Generated

Treblo has released an open-source AI Music Classifier that detects whether a song was generated using its platform — and the tool's first high-profile test confirmed what many listeners already suspected: Fenix Flexin's "Rubberz," which reached #58 on the Billboard Hot 100, was made with Treblo.

Key takeaways

• Treblo's AI Music Classifier is an open-source detection tool that identifies songs generated using the Treblo AI music platform.
• The classifier confirmed that Fenix Flexin's "Rubberz" — which charted at #58 on the Billboard Hot 100 — was AI-generated using Treblo.
• Musician Medasin had previously identified Treblo as the likely tool before the company's own confirmation.
• The release adds a new layer to the ongoing debate over AI-generated music's chart eligibility, with major labels already proposing to ban AI tracks from charts entirely.
• As an open-source tool, the classifier can be run independently, meaning detection isn't gated behind Treblo's own platform.

How the classifier caught 'Rubberz'

The sequence of events is telling. Musician Medasin publicly identified Treblo as the specific generator behind "Rubberz" before any official confirmation — a sign that AI-generated audio is developing recognizable fingerprints that trained ears (and now trained models) can spot. Treblo then announced the open-source classifier on Monday, and according to The Verge, both the company and the new tool now confirm the track's origins.

That sequence matters practically. It suggests AI music generators are already leaving detectable artifacts — patterns consistent enough that a purpose-built classifier can match a track back to its source platform with apparent confidence. For anyone working with AI-generated audio, that's a meaningful shift: outputs that once seemed indistinguishable are increasingly traceable.

Open-source detection changes the transparency calculus

The open-source release is the more consequential technical development here. A detection tool controlled entirely by Treblo would be easy to dismiss as self-serving — the company deciding which tracks count as "theirs." Making the classifier open-source means independent researchers, journalists, labels, and streaming platforms can run it themselves. That shifts the dynamic considerably.

For AI image and video creators, this arc is already familiar. Tools like Pangram's AI image detection model and Google's SynthID watermarking system have been pushing the same frontier in visual media — the idea that AI-generated content carries a signature, whether intentional or not. Music is now catching up fast. The practical implication: content made with specific AI generators is increasingly attributable to those generators, not just to "AI" in the abstract.

For creators using AI tools in any medium, that specificity cuts both ways. It enables accountability — which platforms and labels are actively demanding — but it also means the fingerprint of a particular tool follows the output into the world. Choosing which generator to use is no longer just a quality or cost decision; it's partly a disclosure decision.

What this means for the chart eligibility fight

The "Rubberz" case has already fed into a broader industry argument. Major labels including Universal Music Group, Sony Music, and Warner Music Group have proposed stripping AI-generated tracks of chart eligibility entirely. A reliable, open-source detection tool gives that proposal real teeth — without a way to confirm which tracks are AI-generated, any eligibility rule is unenforceable. Treblo's classifier, if it proves robust, hands the industry a mechanism.

Whether Billboard or the labels adopt it is a separate question. But the existence of a working, open classifier means the "we can't tell" defense is getting harder to sustain — in music, and by extension in any medium where AI generation is becoming the norm.