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Energy breakthrough needed to build AGI, says OpenAI boss Altman

Jan 22, 2024 - theregister.com
OpenAI CEO Sam Altman has emphasized the need for a breakthrough in energy production to support the development of increasingly powerful AI models. Altman, who has invested $375 million in nuclear fusion startup Helion Energy, highlighted the energy-intensive nature of AI training, with OpenAI's GPT-3 system consuming as much energy as 90 households in a year. Meanwhile, Google DeepMind has trained an AI system, AlphaGeometry, to solve geometric theorems at a level comparable to human mathematics Olympiad gold medalists, demonstrating AI's growing ability to reason logically.

The World Health Organization (WHO) has expressed concerns that AI systems developed by wealthier nations may not be beneficial for poorer countries if they are not trained on diverse data. The WHO argues that the development of medical AI should not be dominated by large tech companies and should be audited by independent third parties. In other news, Amazon has launched an experimental AI shopping assistant that can provide information about products sold on the platform.

Key takeaways:

  • OpenAI CEO Sam Altman believes a breakthrough in energy production is needed to advance AI models, and has invested $375 million into Helion Energy, a nuclear fusion startup.
  • Google DeepMind has trained an AI system, AlphaGeometry, to prove geometric theorems at nearly the same level as human mathematics Olympiad gold medalists.
  • The World Health Organization (WHO) has expressed concerns that medical AI systems built by wealthier nations may not adequately serve poorer countries due to lack of diverse data.
  • Amazon has rolled out an experimental AI shopping assistant in its mobile app, which can answer questions about specific products but cannot compare products or suggest alternatives.
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