Intro

Tom and Nate sit down for a classic discussion of the role of AI in the modern philosophy of science. Much of this discussion is based on Thomas Samuel Kuhn's influential book The Structure of Scientific Revolutions. We ask -- is AI a science in the Kuhn'ian sense? Will the "paradigm" worldview apply to other sciences post AI? How will scientific institutions manage the addition of AI?

We promised an AI for science reading list, so here it is:

• [Dario interview with Lex] https://youtu.be/ugvHCXCOmm4?si=1hnlvue8M4pV2TqC
• Levers for biological progress https://open.substack.com/pub/cell/p/levers?r=68gy5&utm_medium=ios
• X thread on theories of change in scienceshttps://x.com/AdamMarblestone/status/1845158919523664019
• whitepaper linked by seb krier
• Dwarkesh physics pod https://open.substack.com/pub/dwarkesh/p/adam-brown?r=68gy5&utm_medium=ios — Nobel in physics went to ai
• Ai policy perspectives piece A new golden age of discoveryhttps://www.aipolicyperspectives.com/p/a-new-golden-age-of-discovery
• Owl posting checking recent NeurIPS papers https://www.owlposting.com/p/can-o1-preview-find-major-mistakes based on idea from Ethan Mollick https://x.com/emollick/status/1868329599438037491
• also another post on the subject https://open.substack.com/pub/amistrongeryet/p/the-black-spatula-project?r=68gy5&utm_medium=ios
• Kuhn’s The Structure of Scientific Revolutions
• intrinsic perspective https://open.substack.com/pub/erikhoel/p/great-scientists-follow-intuition?r=68gy5&utm_medium=ios

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