Was Alan Turing Wrong About AI? A New Book Says Yes

A leading computer scientist is challenging one of the founding assumptions of artificial intelligence, arguing that the field has been chasing an impossible dream for 75 years. In a new book, Turing's Mistake: Escaping the Yoke of Unintelligent Machines, Peter J. Denning claims that Alan Turing's 1950 paper set AI research on a flawed path. Denning argues that the most essential parts of human intelligence - common sense, intuition, culture, and practical know-how - simply cannot be encoded into software, no matter how large language models grow.

Denning zeroes in on two key ideas from Turing: that intelligence can exist without a body, and that a machine can prove its smarts by fooling a human in conversation - the famous Turing test. But Denning says this misses the deeper problem of tacit knowledge, the vast, unspoken understanding humans rely on every day. He points to projects like Cyc, which spent four decades trying to catalog common sense into 25 million facts, only to fall short. "Yet even this treasury could not add up to a background of common sense sufficient to make expert systems smart enough to be experts," Denning writes. He also notes that a virtuoso violinist can't fully explain how to play beautiful music - and a robot, lacking a biological body, can never truly grasp the feeling.

Denning warns that this divide isn't just academic. As machines develop their own alien forms of intelligence, they may become dangerously capable without ever understanding human context or culture. "Machine intelligence has different concerns from us and does not appear to care about us," he says. "We do not yet know how to live safely with these machines." His conclusion is stark: true human-level AI may be impossible, and the real threat isn't superintelligent robots, but low-intelligence networks that create severe problems for people. The book calls for a reassertion of humanity - celebrating what makes us different, rather than trying to replicate it in code.

Source: Science Daily