Read the full transcript here. Where does innovation come from? How common is it for "lone wolf" scientists to make large leaps in innovation by themselves? How can we imbue AIs with creativity? Or, conversely, how can we apply advances in AI creativity to our own personal creative processes? How do creative strategies that work well for individuals differ from creative strategies that work well for groups? To what extent are models like DALL-E and ChatGPT "creative"? Can machines love? Or can they only ever pretend to love? We've worried a fair bit about AI misalignment; but what should we do about the fact that so many humans are misaligned with humanity's own interests? What might it mean to be "reverent" towards science?Joel Lehman is a machine learning researcher interested in algorithmic creativity, AI safety, artificial life, and intersections of AI with psychology and philosophy. Most recently he was a research scientist at OpenAI co-leading the Open-Endedness team (studying algorithms that can innovate endlessly). Previously he was a founding member of Uber AI Labs, first employee of Geometric Intelligence (acquired by Uber), and a tenure track professor at the IT University of Copenhagen. He co-wrote with Kenneth Stanley a popular science book called Why Greatness Cannot Be Planned on what AI search algorithms imply for individual and societal accomplishment. Follow him on Twitter at @joelbot3000 or email him at lehman.154@gmail.com.Further reading"Machine Love" by Joel Lehman StaffSpencer Greenberg — Host / DirectorJosh Castle — ProducerRyan Kessler — Audio EngineerUri Bram — FactotumWeAmplify — TranscriptionistsMiles Kestran — MarketingMusicBroke for FreeJosh WoodwardLee RosevereQuiet Music for Tiny Robotswowamusiczapsplat.comAffiliatesClearer ThinkingGuidedTrackMind EasePositlyUpLift[Read more]

Former OpenAI Research Scientist Joel Lehman discusses the non-linear nature of technological progress and the implications of his book 'Why Greatness Cannot Be Planned'. Topics include AI time horizons, exploration vs exploitation for AI startups, importance of stepping stones for AGI, and whether venture money is going to the wrong place.

In this discussion, Joel Lehman, a machine learning researcher and co-author of "Why Greatness Cannot Be Planned," delves into the future of AI and its potential to promote human flourishing. He challenges the notion that alignment with individual needs is sufficient. The conversation explores positive visions for AI, the balance of technology with societal values, and how recommendation systems can foster meaningful personal growth. Lehman emphasizes the importance of understanding human behavior in shaping AI that enhances well-being.