AI will never become human, but its main danger is already near

Researcher Peter Denning argues that neural networks are not approaching human thinking due to the lack of tacit knowledge formed by experience. In his view, the main danger of AI is not in surpassing humans, but in misinterpreting situations and ignoring human values when performing tasks. This is the researcher's position, not an established fact.

Researcher Peter Denning, in his book "Turing's Mistake: Escaping the Yoke of Unintelligent Machines," argues that modern neural networks, despite growing capabilities, are not approaching human thinking due to the lack of tacit knowledge. This knowledge is formed through personal experience, intuition, social interaction, and understanding of cultural context, allowing humans to make decisions automatically. Denning believes that the main danger of AI is not that it will become smarter than humans, but that powerful systems, remaining limited in understanding human values and intentions, may misinterpret situations and ignore important consequences. The more decisions are delegated to such systems, the more significant these limitations become. The author notes that Denning's position is his personal opinion, not an established scientific fact, and debates about AI's prospects continue.