De weg naar AGI The road to AGI

Hannah ontmoet DeepMind-medeoprichter en chief scientist Shane Legg, de man die de term ‘artificial general intelligence’ bedacht, en onderzoekt hoe die gebouwd zou kunnen worden. Waarom denkt Shane dat AGI mogelijk is? Wanneer wordt het werkelijkheid? En hoe zou het eruit kunnen zien? Hannah verkent ook een eenvoudige theorie om via trial-and-error tot AGI te komen en duikt diep in MuZero, een AI-systeem dat complexe bordspellen van schaken tot Go onder de knie kreeg en nu generaliseert om allerlei belangrijke taken in de echte wereld op te lossen. Heb je vragen of feedback over de serie? Stuur ons een bericht op Twitter via @DeepMind of mail naar podcast@deepmind.com. Geïnterviewd: Shane Legg, Doina Precup, Dave Silver en Jackson Broshear van DeepMind Credits Presentatie: Hannah Fry Serieproducent: Dan Hardoon Productieondersteuning: Jill Achineku Sounddesign: Emma Barnaby Muziek: Eleni Shaw Geluidstechnicus: Nigel Appleton Eindredactie: David Prest In opdracht van DeepMind Dank aan iedereen die dit seizoen mogelijk heeft gemaakt! Verder lezen: Real-world challenges for AGI, DeepMind: https://deepmind.com/blog/article/real-world-challenges-for-agi An executive primer on artificial general intelligence, McKinsey: https://www.mckinsey.com/business-functions/operations/our-insights/an-executive-primer-on-artificial-general-intelligence Mastering Go, chess, shogi and Atari without rules, DeepMind: https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules What is AGI?, Medium: https://medium.com/intuitionmachine/what-is-agi-99cdb671c88e A Definition of Machine Intelligence door Shane Legg, arXiv: https://arxiv.org/abs/0712.3329 Reward is enough door David Silver, ScienceDirect: https://www.sciencedirect.com/science/article/pii/S0004370221000862 Seizoen 1 en 2 vind je op YouTube: http://dpmd.ai/3geDPmL Of zoek op “DeepMind: The Podcast” en abonneer je in je favoriete podcastapp: Apple Podcasts: http://dpmd.ai/2Rzlmcu Google Podcasts: http://dpmd.ai/3geDjp5 Spotify: http://dpmd.ai/3w29cb4 Pocket Casts: https://pca.st/30m1

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. For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com. Interviewees: DeepMind’s Shane Legg, Doina Precup, Dave Silver & Jackson Broshear Credits Presenter: Hannah Fry Series Producer: Dan Hardoon Production support: Jill Achineku Sounds design: Emma Barnaby Music composition: Eleni Shaw Sound Engineer: Nigel Appleton Editor: David Prest Commissioned by DeepMind Thank you to everyone who made this season possible! Further reading: Real-world challenges for AGI, DeepMind: https://deepmind.com/blog/article/real-world-challenges-for-agi An executive primer on artificial general intelligence, McKinsey: https://www.mckinsey.com/business-functions/operations/our-insights/an-executive-primer-on-artificial-general-intelligence Mastering Go, chess, shogi and Atari without rules, DeepMind: https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules What is AGI?, Medium: https://medium.com/intuitionmachine/what-is-agi-99cdb671c88e A Definition of Machine Intelligence by Shane Legg, arXiv: https://arxiv.org/abs/0712.3329 Reward is enough by David Silver, ScienceDirect: https://www.sciencedirect.com/science/article/pii/S0004370221000862 Find Seasons 1 & 2 on YouTube: http://dpmd.ai/3geDPmL Or search “DeepMind: The Podcast” and subscribe on your favourite podcast app: Apple Podcasts: http://dpmd.ai/2Rzlmcu Google Podcasts: http://dpmd.ai/3geDjp5 Spotify: http://dpmd.ai/3w29cb4 Pocket Casts: https://pca.st/30m1