Alan Turing's Biggest AI Assumption May Have Been Wrong
Denning says the Turing test and scaled language models overlook tacit knowledge, and he cites Cyc’s 25 million common-sense entries as evidence.
4 Articles
4 Articles
Alan Turing's biggest AI assumption may have been wrong
In his book Turing’s Mistake: Escaping the Yoke of Unintelligent Machines, prominent computer scientist Peter J. Denning contends that two core assumptions made by Alan Turing in 1950 continue to shape AI research and development today. The first assumption holds that intelligence can exist independently of physical embodiment and be replicated in software. The second posits that machines can demonstrate intelligence by successfully imitating hu…
Sci Tech Daily
Busines and Oil NewsWhy AI May Never Reach Human Intelligence
A new analysis argues that AI may never truly think like humans because the most important parts of human intelligence cannot be programmed into machines. A prominent computer scientist argues that a proposal made by Alan Turing, widely regarded as the father of theoretical computer science, sent artificial intelligence research in the wrong direction for [...]
A recent study conducted by computer scientist Peter J. Denning suggests that artificial intelligence (AI) may never reach human-level intelligence due to its inability to acquire tacit knowledge, essential for intuition and common sense. The analysis, published in the book *Turing’s Mistake: Escaping the Yoke of Unintelligent Machines*, criticizes the directions taken by AI research over the past seven decades. Limitations of artificial intelli…
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