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Geoffrey Hinton warns EU leaders AI could outsmart humans within 18 months

Crypto Briefing
14 lis 2026, 12:37Crypto
Oryginał
1 min read

Nobel laureate Geoffrey Hinton has told EU leaders that artificial intelligence could outsmart humans within just 18 months, dramatically shortening his previous timeline of a decade.

The Nobel laureate, often called the godfather of AI, was scheduled to brief the leaders of all 27 EU member states on November 13, 2026. His message: machines could surpass human intelligence within 18 months, a timeline far shorter than the decade he used to cite.

The 18-month window is not one Hinton invented on his own. It is the estimate he now hears from Paul Christiano, the AI safety researcher whom OpenAI added to its board in September.

Shorter Timeline, Greater Concerns

Hinton has admitted that this new timeline frightens even him. Coming from the person who helped build the foundations of modern AI, that is not a small admission. His earlier position was that AI might surpass human intelligence within 10 years.

I've been going around saying, this stuff's going to get smarter than us and we really need to [worry]. It might happen within 10 years.

Geoffrey Hinton, AI pioneer

EU's Response to AI Threats

The Dublin summit marked the first time EU leaders gave AI its own dedicated agenda item at a summit. Discussions covered the EU's AI Act, which aims to balance innovation against safety through regulatory frameworks.

European Council President António Costa and European Commission President Ursula von der Leyen both acknowledged the need for stronger governance to manage AI risks. The discussions also floated the idea that Europe could help shape international standards for the technology.

Existential Concerns

Hinton's warnings went beyond raw intelligence benchmarks. He has pointed to existential threats including loss of sovereignty and what he calls 'runaway AI,' scenarios in which humans lose meaningful control over systems they built. His own estimate of the odds of a catastrophic AI outcome remains between 10% and 20%.

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