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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