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The ”Creative Singularity” came and went. Now what?

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In 2022, text-to-image generators like Midjourney, OpenAI’s DALL-E 2, and Stable Diffusion catapulted into the public eye, prompting fervent debate about the role of so-called “generative artificial intelligence” in creative production. When OpenAI’s conversational bot ChatGPT rolled out in November, eclipsing the million-user mark in five days, concern about AI job displacement ballooned from visual artists to include authors, journalists, and copywriters. All throughout, startups and incumbents have launched a wave of new AI offerings, from voice cloning and avatar substitution to interface design and code copilots. Suddenly no category of human creative labor felt safe from automation. After months of mounting frustration about their art being included in training data without permission or remuneration, thousands of artists participated in the “No AI Art” online protest in December. Like chess before it, art was believed to be a quintessential human endeavor, but the rapid evolutio

Special Issue GitHub CEO says Copilot will write 80% of code “sooner than later” Marc Andreessen: The single greatest risk of NOT pursuing AI To fear AI is to fear Newton and Einstein. There are no “dragons” here. 4 dangers of AI—and why they won’t end the world A view from the creative frontlines What AI can teach us about copyright and fair use Idea amplification is the really exciting potential of generative AI Why artists shouldn’t fear AI The AI music revolution How to stop runaway AI These “AI Artists” don’t want to ape existing art — they want to create something new entirel

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