The article explores the intersection of artificial intelligence and neuroscience, focusing on how AI has drawn inspiration from the human brain's architecture and processing. It discusses the importance of spontaneous activity in the brain that allows for predictive modeling, contrasting this with AI's current input-output functionality. Furthermore, it examines the evolutionary implications for AI consciousness, suggesting that insights from brain functioning can inform the design of more sophisticated AI systems that mimic human-like cognitive processes, including social interaction and creativity.
To date computers (and AI in general) operate prevalently, even if not exclusively, in an input-output mode. This is strikingly not the case for the human brain which works in a projective - or predictive - mode constantly testing hypotheses (or pre-representations) on the world including itself.
The brain possesses an intrinsic - spontaneous - activity (i.e., a baseline activity independent from external stimulation). The earliest forms of animals do exhibit a nervous system where spontaneously active neurons can be recorded.
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