76 | Can Google’s Co-scientist project give scientists superpowers?
To answer this question, we speak with Dr. Alan Karthikesalingam and Vivek Natarajan from Google DeepMind about their groundbreaking AI co-scientist project. Beyond their work at Google, Alan is an honorary lecturer in vascular surgery at Imperial College London, and Vivek teaches at Harvard’s T.H. Chan School of Public Health. Together, we discuss how their system has evolved to mirror parts of human hypothesis generation while also diverging in fascinating ways. We talk about its internal “tournaments” of ideas, its ability to be prompted to “think out of the box,” and whether it becomes too constrained by the need to align with every published “fact”. And we discuss how we still seem far away from a time when AI can not only answer our questions, but can ask new and exciting research questions itself.The Night Science Podcast is produced by the Night Science Institute – for more information on Night Science, visit night-science.org .
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75 | Eve Marder and how Recipe Science ruins creativity
Professor Eve Marder is a pioneering neuroscientist at Brandeis University. Drawing on decades of work with a small neural circuit in lobsters, she describes how discovery often emerges from intuition, puzzlement, and the courage to follow unexpected observations. Eve highlights the central role of personal tolerance for ambiguity in shaping a scientist’s questions and methods. She discusses the fine line between idiosyncrasies and general principles, and how deep familiarity with the literature shaped her scientific intuition – something hard to replicate in today’s information-saturated world. We also discuss how reading is a prerequisite for clear writing, and how rigid publishing norms led to “recipe science”, suppressing creativity.For more information on Night Science, visit https://www.biomedcentral.com/collections/night-science .
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74 | Martin Schwartz and the importance of stupidity in science
Martin Schwartz, a professor at Yale, is known for his work on integrins and his influential essay “The importance of stupidity in scientific research”. He emphasizes that while learning science makes you feel smart, true scientific discovery often involves feeling stupid, because it means venturing into the unknown. We discuss how the ego can obstruct creativity, and how resilience, self-discovery, and the cultivation of "passionate indifference" – being deeply engaged but unattached to outcomes – are key to sustaining a productive and fulfilling life in science.
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73 | Ethan Mollick and a million Einsteins in a server
With Ethan Mollick, professor at Wharton and author of the bestselling “Co-Intelligence”, we explore how generative AI tools like ChatGPT can enhance scientific creativity. Ethan emphasizes that AI excels at idea generation through sheer volume and recombination, outperforming most humans in many creativity tasks – though it does have odd obsessions with VR and crypto. However, AI is most effective when integrated into a collaborative human–machine workflow rather than used as a replacement. Ethan describes AI as your tireless science buddy that never gets bored or judgmental during brainstorming. We discuss how AI’s "hallucinations" can be used for creativity, how AI can bridge disciplines by revealing hidden connections across fields, and how prompting strategies – such as chain-of-thought or playful personas – can guide AI toward more original outputs. Ethan stresses the need for scientists to actively experiment with these tools, share their methods openly, and reconsider scientific workflows in light of rapid AI progress.For more information on Night Science, visit https://www.biomedcentral.com/collections/night-science .
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72 | David Baker and the lab's communal brain
David Baker, who was awarded the 2024 Nobel Prize in Chemistry for designing novel proteins with AI, is a professor at the University of Washington. In this episode, he explains how he socially engineers his lab’s "communal brain", where all individuals function like neurons, densely interconnected to maximize idea generation. We explore the role of AI in science, discussing whether AI can be truly creative. Finally, we discuss the current funding crisis in science, which disproportionately affects young researchers.For more information about Night Science, visit https://www.biomedcentral.com/collections/night-science .
Where do ideas come from? In each episode, scientists Itai Yanai and Martin Lercher explore science's creative side with a leading colleague. New episodes come out every second Monday.
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