DeepMind: The Podcast

Get the inside story of how AI is being created and uncover the extraordinary ways artificial intelligence (AI) is transforming our world. In the highly-praised, award-nominated "DeepMind: The Podcast", mathematician and broadcaster Hannah Fry goes behind the scenes of world-leading research lab DeepMind to find out how AI can benefit our lives and the society we live in. The first season explores the link between neuroscience and AI, the importance of games, and building safe AI. Now in its second season, Hannah uncovers how AI is accelerating science in critical areas, takes an in-depth look at building artificial general intelligence (AGI), and so much more.

https://deepmind.com/podcast

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episode 2: Speaking of intelligence


Hannah explores the potential of language models, the questions they raise, and if teaching a computer about language is enough to create artificial general intelligence (AGI). Beyond helping us communicate ideas, language plays a crucial role in memory, cooperation, and thinking – which is why AI researchers have long aimed to communicate with computers using natural language. Recently, there has been extraordinary progress using large-language models (LLM), which learn how to speak by processing huge amounts of data from the internet. The results can be very convincing, but pose significant ethical challenges. 

 

For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com. 

 

Interviewees: DeepMind’s Geoffrey Irving, Chris Dyer, Angeliki Lazaridou, Lisa-Anne Hendriks & Laura Weidinger 

 

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: 

GPT-3 Powers the Next Generation of Apps, OpenAI: https://openai.com/blog/gpt-3-apps/

https://web.stanford.edu/class/linguist238/p36-weizenabaum.pdf

Never Mind the Computer 1983 about the ELIZA program, BBC: https://www.bbc.co.uk/programmes/p023kpf8

How Large Language Models Will Transform Science, Society, and AI, Stanford University: https://hai.stanford.edu/news/how-large-language-models-will-transform-science-society-and-ai

Challenges in Detoxifying Language Models, DeepMind: https://deepmind.com/research/publications/2021/Challenges-in-Detoxifying-Language-Models

Extending Machine Language Models toward Human-Level Language Understanding, DeepMind: https://deepmind.com/research/publications/2020/Extending-Machine-Language-Models-toward-Human-Level-Language-Understanding

Language modelling at scale, DeepMind: https://deepmind.com/blog/article/language-modelling-at-scale

Artificial general intelligence, Technology Review: https://www.technologyreview.com/2020/10/15/1010461/artificial-general-intelligence-robots-ai-agi-deepmind-google-openai/

A Definition of Machine Intelligence by Shane Legg, arXiv: https://arxiv.org/abs/0712.3329

Stuart Russell - Living With Artificial Intelligence, BBC: https://www.bbc.co.uk/programmes/m001216k/episodes/player


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 January 25, 2022  38m