Art and AI: A Conversation with Raphaël Millière

Challenging Assumptions about Art and Creativity

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  The AI was trained on a giant catalog of songs, including those created by humans, to generate lyrics, making it possible for even AI-generated lyrics to be decent, partly thanks to the influence of human-created songs.
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  The collaboration between humans and AI in creating music can lead to unexpected and unique results, as seen in YACHT's Grammy-nominated album.
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  The interview with Raphaël Millière was recorded in person and is available in both video and audio formats on YouTube.
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  Raphaël Millière's research delves into the intersection of society, neuroscience, and philosophy, shedding light on the complex relationship between our minds and the external world.
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  By training an algorithm with a large dataset of images and captions, it can become very good at fitting together the right images with the right captions, and even generate new images based on text prompts.
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  Raphael's insights provided a fresh perspective and sparked new thoughts, making the interview a valuable experience.
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  The intervention of computers in the creation of art upsets our assumptions about the creative potential of man-made tools, sparking a debate about the nature of art itself.

Impact on Creative Industries and Job Security

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  The advancement of generative AI has eliminated the need for coding skills, allowing artists to give instructions in natural language for creating art.
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  AI's ability to replace entire teams of animators with text prompts raises concerns about job security and the impact on human workers in creative industries.
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  Deep learning has greatly advanced AI in the past decade, allowing algorithms to learn from large datasets and complete specific tasks.
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  The use of AI algorithms in generating visual artworks raises fascinating questions about the impact on human artists and the labor market.
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  The use of AI, such as Dall-E, in animation studios has the potential to revolutionize the creative process and open up new possibilities for artists.

The Role of Humans in AI-generated Art

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  GPT-3 is shockingly successful at mirroring style and being faithful to content, blurring the line between lyrics generated by humans and those generated by AI.
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  The role of humans in AI-generated art is crucial, as algorithms are not autonomous and require human input to produce any artistic work.
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  AI algorithms are capable of creating genuinely novel artworks and texts that go beyond the specific distribution of the training data, challenging the assumption that they are simply collaging existing samples.
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  The development of AI challenges the notion of the artist as a genius with deep intentions, but there is a tradition of automatism in art where texts and drawings are created without conscious control, raising the question of whether AI can be a new version of this.
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  The myth of the genius is already complicated, as theories like Kant's suggest that genius is overtaken by something beyond the individual, which aligns with the idea of AI creating art.