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Could artificial neural networks be approaching an upper limit in intelligence? A recent online discussion highlights growing concerns that simply increasing the size and complexity of these networks may not automatically translate to higher intelligence. Echoing observations in human brains, where the quality of neural connections is as, if not more, important than sheer neuron count, experts are questioning whether AI development faces similar, inherent constraints. The debate centers on whether current neural network architectures are nearing an ‘evolutionary optimum,’ hindering significant leaps in cognitive capabilities. The discussion originated on Reddit’s Artificial Intelligence forum, prompting further examination of the potential barriers to achieving artificial general intelligence that surpasses human capabilities. [Reddit Post: https://old.reddit.reddit.com/r/artificial/comments/1oa71hy/what_if_there_is_an_intelligence_ceiling_within/]
