AI Revolutionizing the Rap Scene: A Glimpse into 2073
The Rise of Neurodiverse Artists
Many talented artists are represented in the rap scene of 2073, showcasing the inclusivity and diversity that has become the norm. Among these artists is Jirau, a rapper with Trisomy-21 who has gained recognition for being an exceptional lyricist. Jirau, named after a pioneer model, represents the changing perception of neurodiverse individuals in society. In the past, AI algorithms largely ignored these artists in their early training sets. However, in 2073, neurodiverse artists are finally being valued and appreciated for their unique contributions to the industry.
DJ Congolia: Creating Music from the Sounds of Nature
DJ Congolia is another notable artist in the rap scene of 2073. Born and raised in the Congolese rainforest, DJ Congolia has created original beats solely from the sounds of living things in his surroundings. This unique approach to music production not only highlights the artist’s connection to his roots but also demonstrates the potential of AI technology in capturing and transforming natural sounds into musical elements.
Expanding the Boundaries of Rap Music
In 2073, the possibilities for rap music have expanded beyond imagination. Artists like Benoit are pushing the boundaries of the genre by delivering lyrics that touch on a wide range of subjects. A great example of a versatile rapper, Benoit can rhyme about politics, weather, prison, religion, war, famine, games, family, friendships, and love. This flexibility makes Benoit an ideal candidate for creating rap music for various purposes, whether it’s summer love ballads, political campaign slogans, or even flying car commercials.
In the late 2020s, the advancement of AI technology led to a significant shift in the rap industry. The replication of old ideas, such as misogyny or material consumption, lost its appeal as AI-generated songs became more convincing than those created by human artists. As a result, the industry witnessed the destruction of older categories and the rapid flourishing of new subgenres of rap worldwide.
Some of the most lucrative and popular rap scenes of 2073 include those dedicated to Angolan literature, astrobiology, cyber theft, Harriet Tubman, Jack Kerouac, Maori history, Santeria, sex work, space tourism, and Sufism. Moreover, new subgenres continue to emerge regularly, reflecting the diverse interests and passions of audiences.
Breaking Language Barriers with AI
A major technological advancement in 2073 is the eradication of language barriers in rap music. Thanks to AI, rappers can generate rhymes in one language and translate them into hundreds of others within seconds. While challenges in translation still exist, AI has optimized the process to ensure that the music remains enjoyable despite any language differences. As a result, rap artists, particularly those from diverse regions like Chicago’s west side, gain significant fan bases worldwide, with their lyrics being translated into languages such as Bengali, Tagalog, and Ibo.
AI Rewards Productive Generalists
The AI ecosystem in 2073 incentivizes artists who possess a broad skillset and can generate high-quality training data. Musicians who excel in playing multiple instruments can contribute to the creation of training data for an entire orchestra, enhancing their financial gain. In the realm of hip hop, artists like Dice Benoit, who can rhyme about a wide range of topics, have a competitive advantage in the industry.
However, the shift towards rewarding generalists and embracing AI technology has not been without controversy. Some individuals lament the loss of specialization that had dominated the art world for centuries. Despite this, the excellence of AI technology has gradually decreased the popularity of this perspective. AI’s ability to specialize and generate music that surpasses human capabilities, as demonstrated by IBM’s Deep Blue defeating Kasparov in chess in 1997, highlights the vast potential and impact of AI on artistic creation.
Summary
Rap music in 2073 is a testament to the transformative power of AI. The rise of neurodiverse artists, such as Jirau, and the ability of AI to generate music from natural sounds, as exemplified by DJ Congolia, showcases the inclusivity and innovation shaping the industry. The rap scene no longer focuses on replicating old ideas but embraces the versatility of artists like Benoit, who can rhyme about an array of topics spanning politics, weather, prison, religion, war, famine, games, family, friendships, and love.
Furthermore, AI has broken down language barriers, allowing rap to thrive globally. The rap scenes of 2073 encompass a wide range of topics, attracting audiences interested in Angolan literature, astrobiology, cyber theft, Harriet Tubman, Jack Kerouac, Maori history, Santeria, sex work, space tourism, and Sufism. Through AI, rappers can translate their lyrics into various languages, expanding their reach and engaging diverse fan bases around the world.
While some question the loss of specialization in the art world, the advances in AI technology have proven its superiority in certain domains. The ability of AI to specialize and generate music that surpasses human capabilities highlights its potential and impact on artistic creation. At the forefront of this revolution are artists like Dice Benoit, who embrace AI as a tool to create rap music that resonates with a global audience.
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Many talented artists are represented: a rapper with Trisomy-21 named Jirau (after a pioneer model), who is an especially strong lyricist. In 2073, neurodiverse artists (many formerly known as “disabled”) are valued, having been largely ignored by most AI algorithms in their early training sets.
Then there’s DJ Congolia, who made original beats solely from the sounds of living things in the Congolese rainforest (near where he was born and raised).
And, of course, says Benoit.
Sitting at home in Minnesota, headphones on, she exhales with anticipation. In the virtual auction, her avatar takes the stage, ready to throw.
Your presentation is convincing. It focuses on how it can rhyme about all: politics, weather, prison, religion, war, famine, games, family, friendships, love. It’s a strong candidate for a good workout set because a company can take your data and create rap music of almost any kind: summer love ballads, political campaign slogans, flying car commercials.
Dice Benoit isn’t entirely unique in its diversity of subject matter: long gone are the days when some hip hop artists felt the need to focus on misogyny, material consumption, or any other singular trope. The reason? In the late 2020s, AI became so advanced that it was able to generate songs from that type of content much more convincingly than any human artist. Replication of old ideas fell out of favor, while novelty was rewarded: new data means new music more people can relate to, which translates to more money. This arithmetic led to the destruction of older categories and a rapid flourishing of new subgenres of rap around the world.
Some of the most lucrative and popular rap scenes of 2073 include those devoted to Angolan literature, astrobiology, cyber theft, Harriet Tubman, Jack Kerouac, Maori history, Santeria, sex work, space tourism, and Sufism. . And new subgenres are born regularly.
Plus, AI made language barriers a thing of the past. In 2073, a rapper can generate a rhyme in one language and translate it into a hundred others in seconds. The challenges that have plagued translation forever (not all things translate well between languages) persist, but AI can optimize better than anyone. The rappers from Chicago’s west side have huge fan bases around the world who now hear the lyrics translated into Bengali, Tagalog, and Ibo (AI makes sure that despite the translation, the music is still enjoyable).
This AI ecosystem rewards human artists who are productive generalists, who can generate as much quality training data as possible. Musicians who play multiple instruments well can generate training data for an entire orchestra, improving their financial gain. In hip hop, artists who can rhyme about a lot of things, like Dice Benoit, are set up to do it well.
However, this perspective is not without controversy, as some lament the loss of the specialization that had dominated the art world for centuries. But the excellence of AI technology has made this perspective less popular. The truth is that no human being could hope to specialize in the way that AI does (a lesson the world first learned when IBM’s Deep Blue defeated Kasparov in chess in 1997).
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