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I Forced AI To Make KSI’s New Song 100x Worse

Entertainment

Introduction

In an experiment that pushes the boundaries of music creation, I embarked on a quest to see just how badly artificial intelligence can reinterpret some of the worst YouTuber songs out there. My endeavor included reviving songs to craft good versions of them and then generating the worst possible iterations using AI.

Reviving "Thick of It" by KSI

The journey began with KSI's song "Thick of It." Initially, I attempted to transform the song into something better by using an AI music generator called Suno. By spinning a genre wheel, I landed on metal and electronic dance for the revival. To my surprise, the AI produced a version that, while still not ideal, surpassed the original. The lyrics morphed into:

"I’m in the thick of it, everybody knows they know me, Where it snows I eat it and it froze..."

Next, using a different platform called Ud.io, I aimed to create a more dreadful version of the song. This time, the genres I received were Italo and dark wave, leading to a unique and horrendous remix that included lines about being in a "thick of it" and not knowing why it was so cold.

Reviving "Hi" by Colleen Ballinger

I then turned to "Hi" by Colleen Ballinger. This song has its share of catchy, yet cringeworthy moments. After generating the revival song using pop and pop rock, I managed to create a version that was upbeat and catchy compared to the original, though it followed the same general melody.

In the effort to worsen this song, the genres chosen were a bewildering shoo gaze and chip tune. The result was chaotic yet amusingly entertaining, proving that the AI can indeed create a trainwreck of a song.

Reviving "The Mask" by Dream

Next up was Dream’s “The Mask.” I experimented with genres, settling on disco and hip-hop for the revival attempt, leading to an unexpectedly catchy rendition. Moving on to generate the worst version, the combination of shoegaze and cow punk yielded further strange sounds, yet it retained some semblance of melody, not quite hitting the ‘worst’ mark.

Reviving "Karma" by JoJo Siwa

Reviving JoJo Siwa's “Karma” was a challenge, especially with genres like jazz and country. The outcome produced a marginal improvement over the original but had its corny elements intact. When generating the worst version of this song, I leaned on glitch and jug band, which resulted in a painful experience for listeners.

Reviving "It's Everyday Bro" by Jake Paul

Finally, I tackled Jake Paul's “It's Everyday Bro,” notorious for its catchiness and cringe-factor. Using Nintendo themes combined with other upbeat elements, an exciting version emerged. However, I couldn't resist throwing together the absolute worst using harsh noise and industrial genres, leaving a sonic catastrophe that had me questioning the limits of AI-generated music.

Mega Trash Mashup

As a climactic end to this chaotic journey, I combined snippets of dreadful lyrics from each of the songs into a single "mega trash song." This melody resulted in a cringe-fest that highlighted the brilliance—or lack thereof—of contemporary YouTube music.

Conclusion: Experimenting with AI-generated music proved to be both intriguing and hilarious. While some songs struggled to improve, others offered surprisingly catchy twists that might give the originals a run for their money.

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FAQ

Q: What was the main goal of the project?
A: The goal was to utilize AI to create bad versions of well-known YouTuber songs and see how far the technology could go in distorting them.

Q: What songs were included in the experiment?
A: The songs included "Thick of It" by KSI, "Hi" by Colleen Ballinger, "The Mask" by Dream, "Karma" by JoJo Siwa, and "It's Everyday Bro" by Jake Paul.

Q: Did the AI successfully create worse versions of the songs?
A: In some cases, the AI produced versions that could be considered worse, while other attempts resulted in catchy melodies that rivaled the originals.

Q: How did the final mega mashup sound?
A: The final mega mashup combined the worst lines from each song into an unholy rendition, proving humorous yet painful for listeners.