Over intelligentie gesproken Speaking of intelligence

Hannah verkent het potentieel van taalmodellen, de vragen die ze oproepen, en of een computer leren over taal genoeg is om artificial general intelligence (AGI) te creëren. Taal helpt ons niet alleen ideeën over te brengen, maar speelt ook een cruciale rol bij geheugen, samenwerking en denken. Daarom willen AI-onderzoekers al lang met computers communiceren in natuurlijke taal. De laatste tijd is er buitengewone vooruitgang geboekt met large language models (LLM's), die leren spreken door enorme hoeveelheden data van het internet te verwerken. De resultaten kunnen heel overtuigend zijn, maar brengen ook grote ethische uitdagingen met zich mee. Heb je vragen of feedback over de serie? Stuur ons een bericht op Twitter via @DeepMind of mail naar podcast@deepmind.com. Geïnterviewd: Geoffrey Irving, Chris Dyer, Angeliki Lazaridou, Lisa-Anne Hendriks en Laura Weidinger 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: 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 uit 1983 over het programma ELIZA, 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 door 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 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 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 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