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July 1, 2025

Creativity across disciplines: Researcher explores AI's ability to achieve transformative 'break-with' innovation

Jean Metzinger, 1911–1912, La Femme au Cheval (Woman with a Horse), oil on canvas, Statens Museum for Kunst. A favorite painting of the physicist Niels Bohr. Credit: Jean Metzinger
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Jean Metzinger, 1911–1912, La Femme au Cheval (Woman with a Horse), oil on canvas, Statens Museum for Kunst. A favorite painting of the physicist Niels Bohr. Credit: Jean Metzinger

In a Perspective in PNAS Nexus, Julio M. Ottino describes different classes of creativity and proposes a benchmark for the highest level of creativity. Combinative creativity is the process of combining existing elements to create new solutions, while transformative creativity leads to entirely new frameworks.

But beyond the breakthroughs of transformative creativity, according to Ottino, is the "break-with," a conceptual advance that destroys previous worldviews completely and ushers in a new order. Advances that rise to the level of a break-with include in physics and cubism in visual art.

Although AI excels in combinatorial creativity, Ottino says struggle to be transformationally creative, and their reliance on training data may limit their ability to come up with solutions that represent a true break with the past.

The Perspective includes case studies of historical figures who demonstrate creative fluidity, including Filippo Brunelleschi, the 15th century architect and engineer; Galileo Galilei, the 17th century astronomer and artist; Louis Pasteur, the 19th century scientist and lithographer; Jules Henri Poincaré, the early 20th century mathematician and essayist; Santiago Ramón y Cajal, the early 20th century neuroscientist and artist; and Niels Bohr, the early 20th century physicist and art explainer.

More information: Julio M Ottino et al, Creativity across domains, PNAS Nexus (2025).

Journal information: PNAS Nexus

Provided by PNAS Nexus

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Creativity can be classified as combinative, transformative, or "break-with," with the latter representing a complete departure from previous paradigms, as seen in quantum mechanics and cubism. While AI, particularly large language models, performs well in combinative creativity, its dependence on existing data constrains its capacity for true "break-with" innovation.

This summary was automatically generated using LLM.