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In this First-Year Seminar, we will discuss the role of humans, computers, data-aggregators, and large language models in discovering or creating chemical principles - and in how such knowledge is distributed. We will start by discussing the nature of scientific research (e.g. Pasteur's quadrant), and its implications on the funding of science. The results of such work must be published in order for science to be advanced. Should access to it be free (open) to consumers? If not, how is the curation of knowledge to be subsidized? Such dissemination must go beyond scientists, and we will explore ways in which we can communicate science to the public effectively. This will lead us to explore how the information will be synthesized. Whoever can best do this task will undoubtedly make the discoveries of this century. Will it be humans, computers or A.I.? We will explore who might win the 2025 Nobel Prizes in Chemistry and Physics, and whether an A.I. will eventually outperform them.