Can Academic Science Keep Up with the AI Frontier?

If you listen to leaders of frontier AI labs, generative AI should precipitate a phase change in scientific research any day now. Demis Hassabis says we are on the cusp of unleashing a “golden era for scientific discovery” in the next 10 years, a “new Renaissance.” Dario Amodei estimates we will compress 50-100 years of research in biology and medicine into just 5-10 years. Sam Altman predicts AI will facilitate “astounding triumphs – fixing the climate, establishing a space colony, and the discovery of all of physics.” Frontier labs are not predicting iterative innovation, but revolutionary transformation.

We here at FutureTech remain cautiously ambivalent about the magnitude of these claims. But AI’s transformational impact on science is directionally correct, and we need not prophesize to claim this. For scientists, AI enabled methodologies are neither a recent innovation nor a punctuated transition. Quite the contrary: the use of AI models across science has been growing near-exponentially for well over a decade, across nearly all domains of science.

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