Researchers Uncover Hidden Ingredients Behind AI Creativity | Quanta Magazine
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Researchers Uncover Hidden Ingredients Behind AI Creativity | Quanta Magazine
They then start with a randomized background image that looks like old-fashioned television static, and use a process called diffusion to turn random noise into a clear image by gradually refining it over multiple steps.
Ethan Mollick • Co-Intelligence
The problem for AI is that creative work is not predictable. It is not about statistical likelihood or simply mashing up the familiar—it is about leaps in logic and counterintuitive juxtapositions. It is about the unique experience of the individual, and seeking to do what has never been done before. It is about the least predictable next word or p
... See moreRay Nayler • AI and the Rise of Mediocrity
Exploratory and transformational creativity, on the other hand, often require deep familiarity with a conceptual space. Here, LLMs save time by acting as intelligent research assistants. Tools like OpenAI’s deep research can help you get a clearer sense of the landscape you’re working within, as well as a stronger foundation from which to push its ... See more
Rhea Purohit • A Science-based Guide to Thinking Creatively—With LLMs
The field of artificial (general) intelligence has made no progress because there is an unsolved philosophical problem at its heart: we do not understand how creativity works. Once that has been solved, programming it will not be difficult.
David Deutsch • The Beginning of Infinity: Explanations That Transform the World
- AI is based on prediction, not innovation: AI programs like ChatGPT and Midjourney "statistically anticipate what the next most likely word in a sentence should be, or what color the next pixel in an image should be."
- Creative work requires originality and unique experiences: "Creative work is not predictable...it is about leaps in logic and count