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Fenix Flexin Acknowledges AI’s Role in Creating ‘Rubberz’ Amid Growing Use of Artificial Tools in Music

LA rapper Fenix Flexin confirms AI was part of creating his 80s-inspired track 'Rubberz,' reflecting growing AI use in music production.

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Fenix Flexin Acknowledges AI’s Role in Creating ‘Rubberz’ Amid Growing Use of Artificial Tools in Music

Los Angeles rapper Fenix Flexin has quietly confirmed the use of artificial intelligence in the production of his synth-pop-inspired track "Rubberz," a move that highlights the growing integration of AI in music creation. This admission comes after a series of discussions and claims from other artists and producers about leveraging AI to shape their sound.

AI’s Footprint in the Making of ‘Rubberz’

Initially, Fenix Flexin gave mixed signals about whether AI tools were involved in crafting "Rubberz," a song that nods heavily to 1980s synth-pop aesthetics. However, the conversation intensified following statements by producer Medasin, who shared videos indicating that the AI platform Treblo (previously known as Sonauto) was instrumental in the song’s development. Medasin also revealed that the company behind Treblo had launched an AI detection tool, confirming that "Rubberz" was created with the help of their technology.

In response to comments on his Instagram referencing rapper Tyga’s open use of AI in his album $tarface, Fenix Flexin clarified his position: "never said I didn't use AI, i said it had nun to do w recording process. I didn't even know what da app was till we mixed …" This statement suggests that while AI played a part in the song’s creation, it was not directly involved during the recording sessions themselves but rather in later stages, such as production or mixing.

The Rise of AI in Music Production

The use of AI in music is becoming increasingly common, with artists across genres experimenting with these tools to push creative boundaries. AI platforms like Treblo offer musicians new ways to generate melodies, harmonies, and beats by simulating styles and sounds from past decades or entirely new combinations. This technology can accelerate the production process, inspire fresh ideas, and even help artists who may not have traditional musical training.

However, the adoption of AI in music also raises questions about authenticity, originality, and artistic credit. When a track is partially or primarily crafted with AI assistance, it challenges the traditional understanding of musicianship and creative ownership. Fenix Flexin’s candid acknowledgment adds to an ongoing conversation about how AI is reshaping the music industry.

What This Means for Artists and Fans

For musicians, AI tools represent both an opportunity and a challenge. On one hand, these technologies can democratize music creation, enabling emerging artists to produce high-quality work without large budgets or extensive training. On the other, there is concern that overreliance on AI may dilute personal expression or lead to homogenized sounds.

Listeners and fans are also adjusting their expectations. As AI-generated music becomes more prevalent, fans may become curious about the creative processes behind their favorite tracks. Transparency about AI’s role can foster greater appreciation for the blend of human and machine collaboration, but it might also lead some to question the emotional depth of AI-assisted works.

Looking Ahead: The Role of AI Detection Tools

The introduction of AI detectors like the one from Treblo’s parent company signals a new phase in how the music industry manages AI involvement. Such tools can identify whether a track was generated or influenced by AI, which could impact everything from royalties and rights management to marketing and fan engagement.

For developers and producers, these detection tools might become essential in navigating the blurred lines between human and AI creativity. For artists, understanding how to balance AI assistance with personal artistry will be a crucial skill moving forward.

What to Watch Next

As AI continues to blend into the music-making process, attention will turn to how record labels, streaming platforms, and industry groups respond. Will AI-generated music be categorized differently? How might it affect copyright laws and royalty distributions? Watching how artists like Fenix Flexin and Tyga navigate these waters will offer insights into the evolving relationship between technology and creativity.

Furthermore, the development and adoption of AI detection tools are likely to accelerate, prompting discussions about transparency and ethics in music production. Observing which artists embrace AI openly versus those who keep their use under wraps will shape public perception and industry practices alike.