Aliens, Superintelligence, and the Future of Science (with David Kipping)

Most conversations about artificial intelligence are focused on Earth: jobs, misinformation, education, politics, science, regulation, consciousness, safety, and the future of human society. But AI—and especially the possibility of reaching “AGI” (artificial general intelligence) and “superintelligence”—forces us to think on much larger scales. If advanced AI is possible, why hasn’t it already emerged elsewhere? If civilisations can build self-replicating probes, artificial scientists, or planet-scale computational systems, why does the universe still look so natural? And if intelligent life is common, where is everyone?In this episode, Henry and I discuss these and many other questions with David Kipping, Associate Professor of Astronomy at Columbia University, where he leads the Cool Worlds Lab. David’s research spans exoplanets, exomoons, Bayesian inference, technosignatures, and the search for life and intelligence beyond Earth. He is also one of the best science communicators working today through the Cool Worlds YouTube channel and podcast.Among other topics, we discussed:* David’s Red Sky Paradox: if most stars are red dwarfs, and red dwarfs live for vastly longer than stars like the Sun, why do we find ourselves orbiting a yellow star?* Whether anthropic reasoning — reasoning from the fact of our own existence — is a profound scientific tool, a philosophical minefield, or both.* The reference class problem: when we reason about “observers like us”, who or what exactly counts as being like us?* The Doomsday Argument, and why some apparently bizarre forms of probabilistic reasoning can nevertheless be powerful.* The Fermi Paradox: if the universe is so large, and if life or intelligence is not fantastically rare, why don’t we see clear evidence of extraterrestrial civilisations?* Whether advanced civilisations would spread through the galaxy using self-replicating probes — and why the absence of such probes might be one of the strongest constraints on extraterrestrial intelligence.* How recent developments in artificial intelligence affect the Fermi Paradox. If humanity is close to building systems that can massively accelerate science and engineering, shouldn’t someone else have got there first?* Whether artificial intelligence makes the simulation argument more plausible.* David’s experience using artificial intelligence in scientific research, and why a meeting at the Institute for Advanced Study changed how he thinks about the role of these tools in science.* Why David thinks artificial intelligence already has something close to “coding supremacy”, but is still far from being able to do science autonomously.* The risks of AI-generated scientific slop: papers, peer review, and training data polluted by low-quality machine outputs.* Whether artificial intelligence will make science more productive, or instead strip it of some of its deepest human value.* Why the future of science communication may depend on better collaboration between academic institutions and independent creators.Links and further reading* Cool Worlds Lab — David’s research group at Columbia University, focused on extrasolar planetary systems, exomoons, habitability, technosignatures, and related questions.* Cool Worlds on YouTube — David’s excellent science communication channel, covering astronomy, exoplanets, alien life, the Fermi Paradox, cosmology, and much else.* Cool Worlds Podcast — David’s podcast, featuring conversations on astronomy, technology, science, engineering, and related topics.* Cool Worlds Podcast: “We Need To Talk About Artificial Intelligence” — the solo episode in which David reflects on artificial intelligence and science after a meeting at the Institute for Advanced Study.* David Kipping’s Columbia profile — short institutional profile with background on his research.Conspicuous Cognition is a reader-supported publication. To receive new pos