The perpetual motion machine of AI-generated data and the distraction of “ChatGPT as scientist”
Jennifer Listgarten
EECS Department, University of California, Berkeley
Technical Report No. UCB/EECS-2023-239
November 30, 2023
http://www2.eecs.berkeley.edu/Pubs/TechRpts/2023/EECS-2023-239.pdf
Since ChatGPT works so well, are we on the cusp of solving science with AI? Isn’t AlphaFold2 suggestive that the potential of LLMs in biology and the sciences more broadly is limitless? Can we use AI itself to bridge the lack of data in the sciences in order to then train an AI? Herein we present a discussion of these topics.
BibTeX citation:
@techreport{Listgarten:EECS-2023-239, Author= {Listgarten, Jennifer}, Title= {The perpetual motion machine of AI-generated data and the distraction of “ChatGPT as scientist”}, Year= {2023}, Month= {Nov}, Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2023/EECS-2023-239.html}, Number= {UCB/EECS-2023-239}, Abstract= {Since ChatGPT works so well, are we on the cusp of solving science with AI? Isn’t AlphaFold2 suggestive that the potential of LLMs in biology and the sciences more broadly is limitless? Can we use AI itself to bridge the lack of data in the sciences in order to then train an AI? Herein we present a discussion of these topics.}, }
EndNote citation:
%0 Report %A Listgarten, Jennifer %T The perpetual motion machine of AI-generated data and the distraction of “ChatGPT as scientist” %I EECS Department, University of California, Berkeley %D 2023 %8 November 30 %@ UCB/EECS-2023-239 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2023/EECS-2023-239.html %F Listgarten:EECS-2023-239