#aiforscience #superintelligence #agenticai In Episode #1037, Dr. Richard Socher (CEO and Co-Founder of Recursive) joins @JonKrohnLearns to make the case for automating the scientific method itself. Richard’s startup came out of stealth this year with over half a billion dollars raised to build recursively self-improving superintelligence, and his new book, The Eureka Machine, is already a national bestseller. He also co-founded You.com and the venture firm AIX Ventures, was chief scientist at Salesforce, taught the first university course anywhere on neural networks for NLP, and helped build the ImageNet dataset. In this episode, he traces how AI keeps replacing hand-crafted expertise with scale, lays out the four pillars of his Eureka Machine, argues that hallucinations can be a feature for science, explains why recursive self-improvement within a year or two still rules out an overnight takeoff, and names the software and jobs he expects to endure. This episode is brought to you by: • Palo Alto Networks: http://paloaltonetworks.com/idira • Dell Technologies: http://Dell.com/desksideagenticai • Anthropic: https://claude.ai/superdata • Origin: https://www.originhq.com/sds Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: Additional materials: https://www.superdatascience.com/1037