Sure seems like Fenix Flexin used AI music generator Treblo
Fenix Flexin’s track Rubberz had already drawn suspicion as AI-generated music. Musician Medasin went further and argued it was produced specifically with…
By Dillip Chowdary • Aug 05, 2026 • Source: The Verge
Fenix Flexin’s track Rubberz had already drawn suspicion as AI-generated music. Musician Medasin went further and argued it was produced specifically with Treblo, an AI music generator. That claim now has backing: Treblo itself and a new detection tool appear to confirm the link. On Monday the company announced the open-source Treblo AI Music Classifier, built to flag songs generated with its own system.
The classifier is positioned as a detector for Treblo-generated audio rather than a generic “AI or not” scorer. Because it is open source, third parties can inspect how it decides a clip matches Treblo output, run it on their own libraries, and compare results against human-made tracks. The product mechanic is narrow and self-referential: the vendor of the generator is also shipping the tool that claims to recognize its own synthetic fingerprints.
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For engineers and builders, that pairing matters. Generative music stacks are shipping into consumer and creator workflows while platforms still lack reliable provenance. A vendor-backed, open detector for one model family is a concrete artifact—code and a claimed signal—not a vague policy promise. Teams building upload pipelines, rights tooling, or moderation systems can treat “was this made on Treblo?” as a checkable question for that vendor’s output, instead of only relying on ear tests and rumor.
The episode also sits in a wider market fight over AI music authenticity. Artists and listeners are already arguing in public about whether a viral cut is human or synthetic; here a peer (Medasin) named a specific product, and the company answered with a classifier rather than silence. That is a different competitive move than pure denial or pure promotion: it admits the generator is identifiable enough to detect and puts that detection in the open. Rivals without similar tools leave platforms and rights holders with weaker options when the same dispute hits their catalogs.
The practical takeaway is to watch whether the Treblo AI Music Classifier holds up when independent musicians, labels, and platforms run it on disputed tracks like Rubberz and on non-Treblo material. False positives and misses will decide if this is a real control surface or a PR shield. Also watch whether other AI music vendors follow with open, model-specific detectors—or whether platforms start requiring that class of signal before they treat a track as cleared for distribution.
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