Navigating AI: Learning Curves and the Future of Co-Intelligence

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.

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