Summary of DeepMind's Demis Hassabis on the future of AI | The TED Interview

00:00:00 - 00:45:00

In the TED interview, Demis Hassabis discusses the future of artificial intelligence and how it will lead to greater creativity. He argues that games are an ideal training ground for artificial intelligence, and that chess should be taught in schools as part of a broader curriculum that includes courses on game design.

• 00:00:00 DeepMind's Demis Hassabis discusses the future of artificial intelligence, which he believes will lead to greater creativity and understanding of the brain. Hassabis started playing chess at age four and later discovered computers, which led to his work in artificial intelligence.
• 00:05:00 Demis Hassabis shares his story of how he came to be interested in computers and programming, and how those interests eventually led to him becoming a game designer and creator of AI-powered simulation games. He explains that while games such as Space Invaders and Qbert are popular and well-known examples of his work, he has also developed games that are much harder for human players to beat, such as Black & White and Theme Park. He argues that games are an ideal training ground for artificial intelligence, and that chess should be taught in schools as part of a broader curriculum that includes courses on game design.
• 00:10:00 DeepMind's Demis Hassabis discusses the history and future of artificial intelligence, focusing on deep reinforcement learning and its role in games. He describes how Atari games can be difficult at first, but with deep reinforcement learning, the system can learn to play better over time. Hassabis also discusses how games are becoming more difficult, and how deep reinforcement learning is helping to make these games more challenging.
• 00:15:00 DeepMind's Demis Hassabis discusses the future of artificial intelligence, including TD learning and deep reinforcement learning. Alpha Zero, a successful software platform developed by DeepMind, uses adversarial training to achieve superhuman performance in complex, real-time strategy games.
• 00:20:00 Demis Hassabis discusses some of the landmark achievements in artificial intelligence in the past few years, including the development of Alpha zero and Alpha fold. He also mentions the potential for language understanding to be achieved through a brute force approach, without relying on syntactical knowledge. He finishes by discussing the potential for general artificial intelligence to be developed in the near future.
• 00:25:00 Demis Hassabis, a pioneer in artificial intelligence, discusses the future of AI and its ability to understand complex concepts. He notes that while AI is far from being conscious or sentient, its current abilities are still quite impressive.
• 00:30:00 Demis Hassabis interviews Ted about the future of artificial intelligence, discussing the need for data efficient models, the potential for AI to be broadly applicable, and the need for careful oversight.
• 00:35:00 DeepMind's Demis Hassabis explains Alpha Fold, a deep learning system that can predict the 3D shape of proteins from the genetic sequence. Alpha Fold is being used to help scientists understand the function of proteins and to make Downstream tasks like drug discovery faster and more accurate.
• 00:40:00 DeepMind's Demis Hassabis discusses the current state of AI, the future of creativity, and the unsolved problem he is most fascinated in solving. He predicts that computers will one day be able to abstract concepts and apply them in new situations seamlessly, a goal he believes is still a few decades away.
• 00:45:00 Demis Hassabis, a well-known AI researcher, discusses the future of AI and its ability to create new strategies in games such as chess and go. He notes that true creativity, which is something that we're not yet able to achieve, will require true innovation.