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 ...
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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 ...
In this episode, Itai and Martin delve into the interplay between hypothesis-driven and exploratory research, drawing on insights from past guests of the Night Science Podcast. They discuss how being focused on a single hypothesis can prevent us from making discoveries, while emphasizing the value of open-ended exploratory analyses—often dismissed as “fishing expeditions.” The episode also examines the risks inherent to both approaches: hypothesis-driven Day Science may overlook key insights,...
Night Science
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 ...
