Alan Turing's biggest AI assumption may have been wrong
AI Summary: In his book "Turing's Mistake: Escaping the Yoke of Unintelligent Machines," computer scientist Peter J. Denning critiques foundational assumptions made by Alan Turing regarding artificial intelligence, specifically the independence of intelligence from physical embodiment and the validity of the Turing test as a measure of machine intelligence. Denning argues that these assumptions have led AI research astray, particularly in the pursuit of artificial general intelligence (AGI), which he deems unlikely to succeed. He highlights the challenge of tacit knowledge—understanding that is difficult to articulate or encode—asserting that machine learning cannot adequately capture essential human experiences such as common sense, emotions, and practical skills. Denning concludes that the limitations of current AI stem from the "representation problem," as tacit knowledge cannot be effectively translated into a format that machines can process.