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AI that can match humans at any task will be here in five to 10 years, Google DeepMind CEO says
LONDON -- Artificial intelligence that can match humans at any task is still some way off -- but it's only a matter of time before it becomes a reality, according to the CEO of Google DeepMind. Speaking at a briefing in DeepMind's London offices on Monday, Demis Hassabis said that he thinks
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AI that can match humans at any task will be here in five to 10 years, Google DeepMind CEO says
LONDON -- Artificial intelligence that can match humans at any task is still some way off -- but it's only a matter of time before it becomes a reality, according to the CEO of Google DeepMind. Speaking at a briefing in DeepMind's London offices on Monday, Demis Hassabis said that he thinks
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Demis Hassabis, CEO of Google DeepMind, forecasts the emergence of artificial general intelligence (AGI) within the next 5-10 years, contrasting with more optimistic predictions from other tech leaders.

Demis Hassabis, CEO of Google DeepMind, has made a significant prediction about the future of artificial intelligence (AI). Speaking at a briefing in DeepMind's London offices, Hassabis stated that artificial general intelligence (AGI) – AI systems as smart or smarter than humans – will likely emerge within the next five to ten years
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.Hassabis defined AGI as "a system that's able to exhibit all the complicated capabilities that humans can." He acknowledged that while current AI systems are impressive in certain areas, they still have significant limitations. "We're not quite there yet. These systems are very impressive at certain things. But there are other things they can't do yet, and we've still got quite a lot of research work to go before that," Hassabis explained
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.Hassabis' timeline for AGI development contrasts with more optimistic predictions from other tech leaders:
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.However, some leaders align more closely with Hassabis' cautious timeline. Robin Li, CEO of Chinese tech giant Baidu, stated last year that he sees AGI as "more than 10 years away"
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.Hassabis highlighted that the main challenge in achieving AGI is developing AI systems that can understand real-world context. While AI has made significant strides in specific domains like game strategy, translating these capabilities to real-world applications proves more challenging
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Both Hassabis and Thomas Kurian, CEO of Google Cloud, emphasized the importance of "multi-agent" AI systems in progressing towards AGI. These systems involve multiple AI agents working together, either cooperatively or competitively. Hassabis referenced DeepMind's work on the strategy game "Starcraft" as an example of this approach
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.While the focus remains on achieving AGI, the concept of artificial super intelligence (ASI) – AI that surpasses human intelligence – was also discussed. Hassabis admitted that the timeline for ASI development remains uncertain, stating that "no one really knows" when such a breakthrough will occur
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.As the AI landscape continues to evolve rapidly, the varying predictions from industry leaders highlight the complexity and uncertainty surrounding the development of human-level AI. While excitement builds around the potential of AGI, it's clear that significant challenges remain in bridging the gap between current AI capabilities and true human-like intelligence.
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