Demis Hassabis, CEO of DeepMind Technologies

Demis Hassabis is a British computer scientist, entrepreneur, and researcher in artificial intelligence (CBE FRS FREng FRSA). He was a skilled board game player and programmer for artificial intelligence in video games in his early years. In addition to being an AI advisor for the UK government, he serves as the CEO and co-founder of DeepMind and Isomorphic Labs.

“AI has the potential to be one of the most important and beneficial technologies ever invented.”

2023

The declaration “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war” was signed by Hassabis in 2023. However, he believes that a global halt to AI advancement would be extremely difficult to implement and that the technology’s potential advantages (such as its ability to improve health and combat climate change) outweigh the risks. According to him, research on assessment tests that gauge the capability and controllability of novel artificial intelligence models is desperately needed.

Latest news about Demis Hassabis

• Mustafa Suleyman, co-founder of Google DeepMind and CEO of Inflection AI, has proposed US restrictions on the sale of Nvidia’s AI chips, urging responsible AI usage. He calls for global standards governing ethical AI deployment and aligns companies with AI firms’ ethical commitments. Suleyman’s company, Inflection AI, raised $1.3 billion in funding.
• Demis Hassabis, CEO of Google DeepMind, discussed the future of AI and the progress made by the company. He highlighted the merger of Google Brain and DeepMind, the success of ChatGPT, the potential of non-generative AI, the future of AI chatbots, and the path towards Autonomous General Intelligence (AGI). Hassabis also highlighted the need for collaboration between multiple models, such as a language and learning model for communication and another for specific tasks, to drive advancements towards AGI.
• DeepMind has developed AlphaDev, a neural network model that learns efficient sorting algorithms through reinforcement learning. The model, trained using RL techniques, can produce sorting algorithms for sequences of length 3, 4, and 5, surpassing existing algorithms. AlphaDev has shown promising results in sorting arrays of length 3 and 5 for fixed sort and an intriguing approach to sort arrays of length 4 for variable sort.

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