Generative artificial intelligence (AI) has attracted widespread attention in recent years with the advent of the chatbot ChatGPT and similar AI systems. Today’s generative AI tools are algorithms designed to create new content—from music to conversation to novels to computer code to video games and much more. Supporters of generative AI say it makes the creative process accessible to anyone who can use the AI tools. And while there is a good deal of conversation—and concern—about the potential for generative AI to take jobs away from human artists, most current generative AI systems actually rely on a partnership between person and machine.

One of the most popular areas of generative AI is visual art. Art-making AI platforms typically produce a visual representation from one or more prompts provided by a human user. Many of these platforms make use of Web3 technology and ecosystems, further enhancing their appeal among forward-minded creators eager to see what the latest AI systems can do to enhance their own abilities.

Below, we’ll explore some of the basics of AI-driven generative art before taking a closer look at a few of the tools, projects, and considerations users should keep in mind when experimenting with these systems.

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Author: Nathan Reiff

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