Google DeepMind CEO Predicts AGI by 2030, Warns of AI Safety Challenges

April 21, 2025
Google DeepMind CEO Predicts AGI by 2030, Warns of AI Safety Challenges
  • Hassabis predicts that Artificial General Intelligence (AGI) could be achieved within the next 5 to 10 years, envisioning systems that deeply understand their environments and integrate seamlessly into daily life by 2030.

  • DeepMind is developing systems that can understand language and physical environments, moving beyond traditional chatbot functionalities.

  • He emphasized that while AI can mimic conscious behavior, the differences in their substrates—silicon versus carbon-based brains—mean their experiences of consciousness would not be the same as humans.

  • In an exclusive interview with 60 Minutes on April 20, 2025, Google DeepMind CEO Demis Hassabis discussed significant advancements in artificial intelligence, particularly focusing on the Gemini project.

  • He described the current trajectory of AI as an 'exponential curve of improvement,' fueled by increasing interest and resources in the field.

  • Hassabis also mentioned notable advances in robotics and the potential for breakthroughs in reasoning capabilities in the coming years.

  • Despite speculation about AI self-awareness, Hassabis clarified that no current AI system is self-aware, although future models may exhibit signs of self-awareness, remaining fundamentally different from human consciousness.

  • He expressed optimism about AI's potential in drug development, suggesting timelines for curing diseases could shrink from years to weeks.

  • Gemini's AI model is being trained to perform real-world tasks, such as booking tickets and shopping online, as part of the upcoming Project Mariner initiative.

  • Hassabis warned of a potential 'race to the bottom' regarding safety in AI development, advocating for international cooperation on ethical guidelines.

  • Despite this optimism, he raised concerns about the misuse of AI and the necessity for safety measures and ethical oversight.

  • The interview included a demonstration of Project Astra, showcasing its ability to remember past interactions and engage users with personalized greetings.

Summary based on 4 sources


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