About this episode
<p>Hannah meets DeepMind co-founder and chief scientist Shane Legg, the man who coined the phrase ‘artificial general intelligence’, and explores how it might be built. Why does Shane think AGI is possible? When will it be realised? And what could it look like? Hannah also explores a simple theory of using trial and error to reach AGI and takes a deep dive into MuZero, an AI system which mastered complex board games from chess to Go, and is now generalising to solve a range of important tasks in the real world.</p><p> </p><p>For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com. </p><p> </p><p>Interviewees: DeepMind’s Shane Legg, Doina Precup, Dave Silver & Jackson Broshear</p><p> </p><p><strong>Credits</strong></p><p>Presenter: Hannah Fry</p><p>Series Producer: Dan Hardoon</p><p>Production support: Jill Achineku</p><p>Sounds design: Emma Barnaby</p><p>Music composition: Eleni Shaw</p><p>Sound Engineer: Nigel Appleton</p><p>Editor: David Prest</p><p>Commissioned by DeepMind</p><p> </p><p>Thank you to everyone who made this season possible! </p><p> </p><p><strong>Further reading: </strong></p><p>Real-world challenges for AGI, DeepMind: <a href="https://deepmind.com/blog/article/real-world-challenges-for-agi">https://deepmind.com/blog/article/real-world-challenges-for-agi</a></p><p>An executive primer on artificial general intelligence, McKinsey: <a href="https://www.mckinsey.com/business-functions/operations/our-insights/an-executive-primer-on-artificial-general-intelligence">https://www.mckinsey.com/business-functions/operations/our-insights/an-executive-primer-on-artificial-general-intelligence</a></p><p>Mastering Go, chess, shogi and Atari without rules, DeepMind: <a href="https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules">https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules</a></p><p>What is AGI?, Medium: <a href="https://medium.com/intuitionmachine/what-is-agi-99cdb671c88e">https://medium.com/intuitionmachine/what-is-agi-99cdb671c88e</a></p><p>A Definition of Machine Intelligence by Shane Legg, arXiv: <a href="https://arxiv.org/abs/0712.3329">https://arxiv.org/abs/0712.3329</a></p><p>Reward is enough by David Silver, ScienceDirect: <a href="https://www.sciencedirect.com/science/article/pii/S0004370221000862">https://www.sciencedirect.com/science/article/pii/S0004370221000862</a></p> <p><p>Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! </p><p> </p></p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>