About this episode
<p>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. </p><p> </p><p>For questions or feedback on the series, message us on <a href="https://twitter.com/deepmind">Twitter @DeepMind</a> or email podcast@deepmind.com. </p><p> </p><p>Interviewees: DeepMind’s Geoffrey Irving, Chris Dyer, Angeliki Lazaridou, Lisa-Anne Hendriks & Laura Weidinger </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>GPT-3 Powers the Next Generation of Apps, OpenAI: <a href="https://openai.com/blog/gpt-3-apps/">https://openai.com/blog/gpt-3-apps/</a></p><p><a href="https://web.stanford.edu/class/linguist238/p36-weizenabaum.pdf">https://web.stanford.edu/class/linguist238/p36-weizenabaum.pdf</a></p><p>Never Mind the Computer 1983 about the ELIZA program, BBC: <a href="https://www.bbc.co.uk/programmes/p023kpf8">https://www.bbc.co.uk/programmes/p023kpf8</a></p><p>How Large Language Models Will Transform Science, Society, and AI, Stanford University: <a href="https://hai.stanford.edu/news/how-large-language-models-will-transform-science-society-and-ai">https://hai.stanford.edu/news/how-large-language-models-will-transform-science-society-and-ai</a></p><p>Challenges in Detoxifying Language Models, DeepMind: <a href="https://deepmind.com/research/publications/2021/Challenges-in-Detoxifying-Language-Models">https://deepmind.com/research/publications/2021/Challenges-in-Detoxifying-Language-Models</a></p><p>Extending Machine Language Models toward Human-Level Language Understanding, DeepMind: <a href="https://deepmind.com/research/publications/2020/Extending-Machine-Language-Models-toward-Human-Level-Language-Understanding">https://deepmind.com/research/publications/2020/Extending-Machine-Language-Models-toward-Human-Level-Language-Understanding</a></p><p>Language modelling at scale, DeepMind: <a href="https://deepmind.com/blog/article/language-modelling-at-scale">https://deepmind.com/blog/article/language-modelling-at-scale</a></p><p>Artificial general intelligence, Technology Review: <a href="https://www.technologyreview.com/2020/10/15/1010461/artificial-general-intelligence-robots-ai-agi-deepmind-google-openai/">https://www.technologyreview.com/2020/10/15/1010461/artificial-general-intelligence-robots-ai-agi-deepmind-google-openai/</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>Stuart Russell - Living With Artificial Intelligence, BBC: <a href="https://www.bbc.co.uk/programmes/m001216k/episodes/player">https://www.bbc.co.uk/programmes/m001216k/episodes/player</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>