{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/e421d786-ec36-4148-aa99-7a3b2928a779/6ad8e14da25058b22a6a6167?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI eats science 1: the mathpocalypse","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/62e286a934d4d9fe5e874247/1792598361417-3ab60ab4-6c33-413f-bed9-fe3f03a98dd8.jpeg?height=200","description":"<p>Mathematics has been <u><a href=\"https://www.economist.com/science-and-technology/2026/10/12/ais-transformation-of-mathematics-is-a-turning-point-for-science?utm_campaign=a.io&amp;utm_medium=audio.podcast.np&amp;utm_source=babbage&amp;utm_content=discovery.content.anonymous.tr_shownotes_na-na_article&amp;utm_term=sa.listeners\" rel=\"noopener noreferrer\" target=\"_blank\">turned on its head</a></u> by artificial intelligence. On October 6th, <u><a href=\"https://www.economist.com/science-and-technology/2026/10/07/openai-claims-to-have-solved-hundreds-of-long-standing-maths-problems?utm_campaign=a.io&amp;utm_medium=audio.podcast.np&amp;utm_source=babbage&amp;utm_content=discovery.content.anonymous.tr_shownotes_na-na_article&amp;utm_term=sa.listeners\" rel=\"noopener noreferrer\" target=\"_blank\">OpenAI</a></u> released a torrent of more than 700 papers claiming progress on 372 problems—pushing mathematicians into strange new territory. The “mathpocalypse” could be a warning shot for the rest of science, about how AI could upend their disciplines. Or is there, in fact, lots to be cheerful about? A new scientific revolution in the offing?</p><p><br></p><p>Over the next four episodes, we’ll bring you conversations with scientists who are deploying these intelligent new tools—people who are thinking about how it could <u><a href=\"https://www.economist.com/leaders/2026/10/15/what-if-the-machines-take-over-science?utm_campaign=a.io&amp;utm_medium=audio.podcast.np&amp;utm_source=babbage&amp;utm_content=discovery.content.anonymous.tr_shownotes_na-na_article&amp;utm_term=sa.listeners\" rel=\"noopener noreferrer\" target=\"_blank\">reinvent</a></u> the way they discover new things and understand the world. Next time: the biologists using foundation models to generate new life.</p><p><br></p><p>Guests and hosts:</p><ul><li>James Maynard of the University of Oxford</li><li>Yang-Hui He of the London Institute for Mathematical Sciences</li><li>Alok Jha, <em>The Economist</em>’s science and technology editor</li></ul><p><br></p><p>Hear more about the new generation of mathematical machines in our May 2026 episode, “<u><a href=\"https://www.economist.com/podcasts/2026/05/13/maths-enters-its-ai-era\" rel=\"noopener noreferrer\" target=\"_blank\">Maths enters its AI era</a></u>”.</p><p><br></p><p>Topics covered:</p><ul><li>Mathematics</li><li>Artificial intelligence</li><li>Scientific discovery</li></ul><p><br></p><p>Transcripts of our podcasts are available via <u><a href=\"http://economist.com/podcasts\" rel=\"noopener noreferrer\" target=\"_blank\">economist.com/podcasts</a></u>.</p><p><br></p><p>Listen to what matters most, from global politics and business to science and technology—<u><a href=\"https://subscribenow.economist.com/podcasts-plus\" rel=\"noopener noreferrer\" target=\"_blank\">subscribe to </a></u><em><u><a href=\"https://subscribenow.economist.com/podcasts-plus\" rel=\"noopener noreferrer\" target=\"_blank\">The Economist</a></u></em>.</p>","author_name":"The Economist"}