{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/683f0798c966cde736234a29/6a8e9b2d8c90bb6011e73b30?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"What happens when you let an AI run a science lab","description":"<p>There are AIs running labs with little human intervention right now. And they’re doing experiments that human experts would never try. Is this changing what and how science gets done?&nbsp;</p><p><br></p><p>In this episode, we speak with Antony “Ant” Rowstron, who has worked with ARIA (the UK’s Advanced Research and Invention Agency) on their biggest bet to date.&nbsp;</p><p><br></p><p>We cover:</p><ul><li>How ARIA funded twelve teams to build AI scientists that can run an entire research process: generating hypotheses, designing experiments, and carrying them out without continuous human intervention.&nbsp;</li><li>What AI scientists are actually achieving now, from personalized cancer vaccines to molecules that stimulate our own immune response to new viruses in 48 hours.</li><li>How we could train AIs on the tacit, hands-on knowledge only human scientists have.</li><li>How AI hallucinations might actually be useful for scientific discovery.</li><li>How labs and the role of human scientists will change as AI automates more and more parts of the research process.</li></ul><p><br></p><p><br></p><p>Chapters:</p><p>0:00 Cold open</p><p>1:14 What is an AI scientist? (the three-layer stack behind it)</p><p>3:48 What AI scientists can do in practice: quantum dots, cancer vaccines, and AI-designed antigens</p><p>8:17 Inside ARIA's AI scientist grant: 245 applications, 12 teams, 9 months</p><p>11:36 What can an AI scientist actually achieve in nine months?</p><p>16:33 How will the role of the human scientist change in the future?</p><p>18:42 Can AI scientists work outside a computer, in the physical world?</p><p>21:20 What will the lab of the future look like?</p><p>25:34 How to capture the tacit knowledge only scientists in the room have</p><p>29:32 Do AI scientists trained on the same data lose their creativity?</p><p>31:17 Why AI hallucinations might actually help scientific discovery</p><p>39:56 Career advice for young people who want to work on AI for science</p><p>45:21 Ant Rowstron's existential hope vision for AI in science</p><p>46:10 What Ant would do if not at ARIA</p><p>46:38 The best piece of advice Ant ever received</p><p><br></p><p><br></p><p><br></p>","author_name":"Foresight Institute"}