# 1037: Recursive Self-Improvement: The Eureka Machine, with Dr. Richard Socher

An episode of [Super Data Science: ML & AI Podcast with Jon Krohn](https://invisiblenetwork.ai/podcast/1163599059), 20 Oct 2026, 1 h 12 min.

Audio: https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7346181435.mp3

In Episode #1037, Dr. Richard Socher (CEO and Co-Founder of Recursive) joins Jon Krohn 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. Additional materials: www.superdatascience.com/1037 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • • (00:02:40) What Recursive is automating, and the two forms of RSI • • (00:19:59) The four pillars of the Eureka Machine • • (00:29:20) Turning sciences into engineering disciplines • • (00:39:28) Why RSI does not mean an overnight takeoff • • (00:56:05) Constructive optimism, and the future as a construction game

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