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I Tricked the Internet with an AI Rapper

Entertainment


Introduction

In a world increasingly shaped by technology, the intersection of artificial intelligence and music has sparked both excitement and outrage. One of the latest viral sensations to emerge from this phenomenon is Ghost Rider, a character who captured the internet's attention by showcasing a song featuring Drake and The Weeknd. The twist? The AI-generated vocals were created without the artists' knowledge. Inspired by this, I set out on a challenge to create two songs entirely composed through artificial intelligence—one mimicking Kanye West and another emulating Taylor Swift.

The plan was straightforward: two songs in 30 days with the hope of tricking listeners into believing they were real. The first artist I chose was Kanye West, whose controversial reputation and ongoing legal issues made him a prime candidate for this experiment. With a rough idea of the lyrics in mind, I utilized AI tools to generate verses that reflected Kanye's style. The lyrics took hours to fine-tune, but I had assistance from ChatGPT, ensuring some sections sounded more authentic.

After writing the Kanye song, I realized I needed a fitting beat. An AI-generated instrumental could work, but it often sounded mediocre. Instead, I searched for a Kanye-type beat online, landing on one that I purchased for the project. Yet, before I could release the song, I mustered enough courage to submit it to a music reaction show that featured Hive Mind. After revealing it was AI-generated, their feedback shocked me—while some could identify the artificiality, others found merit in the take.

To promote the Kanye song effectively, I disguised it as a leaked track from the rapper. By tapping into the infamous feud between Kanye and Taylor Swift, I crafted TikToks and YouTube posts to garner interest. Surprisingly, the song began accumulating views organically, crossing 10,000 listens despite its fake origins.

My focus then shifted to creating the Taylor Swift track. Unlike Kanye's rap style, Taylor's songs require a melodic touch, which posed a significant challenge given my lack of vocal ability. Instead of relying solely on AI for vocals, I outsourced this process via Fiverr, hiring a female singer to capture the essence of Taylor Swift. Collaborating with her, I produced a track and used an AI voice model to transform her vocals to fit Swift's persona.

As I released the Taylor Swift song, I continued to promote it through TikTok and other platforms, even attempting to create a "beef" narrative between the two artists to spark curiosity. Despite my efforts, the Taylor track failed to generate the same buzz as the Kanye song, which attained impressive views.

In the end, both AI songs highlighted not just the capabilities of AI technology but also the necessity of human creativity and collaboration behind the scenes. While neither song soared to the viral heights of Ghost Rider's creation, the experience served as a compelling insight into the evolving landscape of music in the digital age and its potential implications.

Keyword

AI, Ghost Rider, Kanye West, Taylor Swift, music industry, TikTok, artificial intelligence, songwriting, music promotion, viral trends.

FAQ

1. Who is Ghost Rider in the music context? Ghost Rider is a character known for creating a viral song featuring Drake and The Weeknd using AI-generated vocals without the artists' knowledge.

2. What was the goal of the author's challenge? The goal was to create two fully AI-generated songs—one in the style of Kanye West and another in the style of Taylor Swift—and to see if listeners could be tricked into believing they were real songs.

3. How were the songs promoted? The songs were promoted by disguising them as leaked tracks and using social media platforms like TikTok and YouTube to generate interest among fans.

4. Were the songs successful? The Kanye West song gained considerable traction, accumulating over 10,000 views, while the Taylor Swift track did not perform as well.

5. What role did collaboration play in creating the songs? Collaboration was essential as the author worked with AI models, hired a female singer for the Taylor Swift song, and purchased production beats to ensure authenticity in the tracks.

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