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Ken Stanley is a highly regarded researcher in machine learning and artificial intelligence. After leaving his professorship at the University of Central Florida, he cofounded Geometric Intelligence (now Uber AI Labs), and he is now Senior Vice President of Open-Endedness at LilaSciences. In this episode, Ken explains why ambitious objectives often backfire: the real stepping stones to breakthrough discoveries rarely look like progress toward the goal, so a direct pursuit can blind us to the opportunities that matter most. Together, we connect these ideas to night science, scientific intuition, and the pressure to justify research with hypotheses and deliverables, and we argue for a healthier system that funds exploration, curiosity, and the creation of new “playgrounds” for discovery.
The Night Science Podcast is produced by the Night Science Institute. For more information on Night Science, visit night-science.org .
