Topic: creativity

Recorded live at the International Congress of Mathematicians in Philadelphia, this episode brings hosts Janna Levin and Steven Strogatz together with Akshay Venkatesh, Ravi Vakil and Alex Kontorovich. They examine what recent AI-generated proofs demonstrate, how machine assistance may change mathematical research, and what proof, creativity, understanding and storytelling contribute to the discipline. The recording took place on 26 July 2026; Quanta published the episode on 3 September 2026.

Nick Bostrom and Brian Greene examine how increasingly capable artificial intelligence challenges familiar accounts of human creativity, originality and consciousness. They discuss whether machine creativity differs fundamentally from human creativity and what evidence could bear on the possibility of subjective experience in AI systems. The conversation also considers Bostrom’s concerns about systems that recognise when they are being evaluated and change their behaviour, and the resulting difficulty of assessing alignment. It then turns to a hypothetical future in which automation removes m

There are many mysteries in the universe. One of the most significant, often considered the final frontier in science, is understanding how our subjective experience, or consciousness, emerges from the collective action of neurons in biological systems. While substantial progress has been made over the past decades, a unified and widely accepted explanation of the neural mechanisms underpinning consciousness remains elusive. The field is rife with theories that frequently provide contradictory explanations of the phenomenon. To accelerate progress, we have adopted a new model of science: adver

We welcome Kenji López-Alt, world-renowned chef and author of multiple New York Times bestselling cook books, including The Food Lab: Better Home Cooking Through Science. Kenji will discuss the creativity and science of the culinary arts with Indre Viskontas.

Semantic cognition brings meaning to our world – it allows us to make sense of what we see and hear, and to produce adaptive thoughts and behaviour. Since we have a wealth of information about any given concept, our store of knowledge is not sufficient for successful semantic cognition; we also need mechanisms that can steer the information that we retrieve so it suits the context or our current goals. This talk traces the neural networks that underpin this flexibility in semantic cognition. It draws on evidence from multiple methods (neuropsychology, neuroimaging, neural stimulation) to show

Studies reported the effects of different types and different levels of abstraction of analogical stimuli on designers. However, specific, single visual analogical stimuli on the effects of designers have not been reported. We define this type of stimuli as specific analogical stimuli. We used the extended linkography method to analyze the facilitating and limiting effects of specific analogical stimuli and free association analogical stimuli (nonspecific analogical stimuli) on the students' creativity at different design levels. Through an empirical study, we explored the differences in the e

Join us for a conversation on the science of uncertainty, mind wandering and creativity!

Hilde Østby discusses creativity, how new ideas emerge and what brain research can tell us about imaginative thinking. Conversation in Norwegian.

Creative thought relies on the reorganisation of existing knowledge. Sleep is known to be important for creative thinking, but there is a debate about which sleep stage is most relevant, and why. I will address this issue by proposing that Rapid Eye Movement sleep, or 'REM', and Non-REM sleep facilitate creativity in different ways. Memory replay mechanisms in Non-REM can abstract rules from corpuses of learned information, while replay in REM may promote novel associations. I propose that the iterative interleaving of REM and Non-REM across a night boosts the formation of complex knowledge fr

Synchronization of dispersed brain areas comprising the Default Mode Network (DMN) has been implicated in a range of cognitive processes (e.g., episodic memory retrieval, dream recall, creativity) [1,2]. Here, we probe the role of the DMN in divergent thinking through intracranial recordings in 8 patients with electrodes implanted for epilepsy monitoring. Subjects performed a creativity-requiring alternate uses task (AUT) and two control tasks (Fig. 1a)—a basic arithmetic task (BAT) and an object characterization task (OCT). The originality of subjects’ AUT responses was automatically scored u