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DeepMind CEO Identifies Three AGI Shortcomings
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DeepMind CEO Demis Hassabis said at an AI summit in New Delhi that current AGI efforts still fall short in three areas: continual learning, long-term planning, and inconsistent performance. He noted systems are typically frozen after training, can only plan short-term, and sometimes err on simple tasks despite excelling elsewhere. Hassabis previously predicted true AGI could appear within five to ten years.
Scoring Rationale
Senior DeepMind commentary highlights core AGI gaps, but offers limited new technical detail or actionable solutions.
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