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March 18, 2025, 1:30 a.m.
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Google DeepMind CEO Predicts Emergence of Artificial General Intelligence in 5-10 Years

Brief news summary

During a recent briefing in London, Demis Hassabis, CEO of Google DeepMind, discussed the potential for achieving artificial general intelligence (AGI) within the next five to ten years. While current AI technologies show impressive capabilities, they lack the adaptability and contextual understanding necessary for replicating all human skills integral to true AGI. Predictions about the timeline for AGI vary widely among experts; Jeetu Patel from Cisco believes early signs could emerge by 2025, while Robin Li from Baidu suggests it may take until the next decade. Hassabis pointed out a significant challenge: improving AI's ability to understand real-world contexts and solve complex problems, as current models often fail in unpredictable environments. He stressed the importance of researching "multi-agent" AI systems that can learn to collaborate and compete, which is essential for developing autonomous interaction and effective performance in complex scenarios—key steps towards achieving AGI.

**Pau Barrena | AFP | Getty Images** LONDON — The full realization of artificial intelligence (AI) that matches human capabilities is still on the horizon, but Google DeepMind's CEO, Demis Hassabis, believes that artificial general intelligence (AGI)—intelligence that equals or surpasses human cognition—will start to emerge in the next five to ten years. During a briefing in London, Hassabis emphasized that while current AI systems excel in certain areas, they remain limited in others, and substantial research is needed before achieving true AGI. He described AGI as a system capable of exhibiting the complex skills that humans possess. Hassabis' timeframe for AGI contrasts with predictions from other industry figures. Baidu’s CEO, Robin Li, noted last year that AGI is "more than 10 years away, " while Anthropic's Dario Amodei optimistically suggested it could emerge in "two to three years. " Cisco's Chief Product Officer, Jeetu Patel, went even further, forecasting signs of AGI could appear as early as this year. After AGI, artificial superintelligence (ASI) is anticipated, though the timing of its arrival remains uncertain.

Musk and OpenAI's Sam Altman have also made predictions about the timeframe for AGI, with Altman suggesting it could emerge in the "reasonably close-ish future. " Hassabis pointed out that a significant challenge in achieving AGI is enabling AI systems to understand real-world context. While AI has excelled in specific domains like games (for example, Go), translating this capability to the real world is more complex. He noted advancements in "world models" and the need for effective integration with planning algorithms. Hassabis and Google Cloud CEO Thomas Kurian highlighted the promise of "multi-agent" AI systems, which are evolving behind the scenes. They are working on enabling AI agents to play complex games like "Starcraft, " promoting cooperation and communication among agents to enhance their functionality and interaction.


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