This article explores the proposition that the brain, normally seen as an organ of the human body, should be understood as a biologically based form of artificial intelligence, in the course of which the case is made for a new kind of 'brain exceptionalism'. After noting that such a view was generally assumed by the founders of AI in the 1950s, the argument proceeds by drawing on the distinction between science-in this case neuroscience-adopting a 'telescopic' or a 'microscopic' orientation to reality, depending on how it regards its characteristic investigative technologies. The paper concludes by recommending a 'microscopic' yet non-reductionist research agenda for neuroscience, in which the brain is seen as an underutilised organ whose energy efficiency is likely to outstrip that of the most powerful supercomputers for the foreseeable future. In what follows, I explore the proposition that the brain, normally seen as an organ of the human body, should be understood as a biologically based form of artificial intelligence (AI). As I observe in the "Introduction", this proposition was assumed by the founders of AI in the 1950s, though it has been generally side-lined over the course of AI's history. However, advances in both neuroscience and more conventional AI make it interesting to consider the issue anew. The main body of the paper approaches the matter from a distinction that the philosopher Bas van Fraassen has drawn in terms of science adopting a 'telescopic' or a 'microscopic' orientation to reality. The history of neuroscience has exhibited both tendencies from its inception, not least in terms of the alternative functions performed by the field's characteristic technologies. Appreciating the full implications of this distinction requires escaping from the 'reductionist' problematic that continues to haunt philosophical discussions of neuroscience's aspirations as a mode of inquiry. As becomes clear by the Conclusion, my own preference is for an ambitious 'microscopic' agenda for neuroscience, which in the long term may see organically grown neural networks-if not full-fledged brains-carrying out many if not most of the functions that nowadays are taken to be the purview of silicon-based computers. In this respect, I am arguing for a new kind of 'brain exceptionalism', one based not on the brain's natural mysteries but on its relative energy efficiency vis-à-vis competing (silicon) technologies.
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