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Google Deepmind says AGI might outthink humans by 2030, and it's planning for the risks

Google Deepmind has published a comprehensive strategy paper detailing its approach to developing safe artificial general intelligence (AGI). The company defines such systems as those that match or exceed human capabilities in most cognitive tasks. Deepmind expects current machine learning methods—particularly neural networks—to remain the main path toward AGI. The paper suggests that future AGI systems could eventually surpass human performance and operate with significant autonomy in planning ...

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