Sean Carroll's Interviews
Being rational necessarily involves engagement with probability. Given two possible courses of action, it can be rational to prefer the one that could possibly result in a worse outcome, if there's also a substantial probability for an even better outcome. But one's attitude toward risk -- averse, tolerant, or even see
Sean Carroll: The Crisis in (Fundamental) Physics is Worse Than You Think...
Sean Carroll is a theoretical physicist and cosmologist specializing in dark energy, general relativity, and quantum mechanics. Sean is a research professor at Caltech and a prolific author known for his books "The Big Picture" and "Something Deeply Hidden," which explore the intersection of science, philosophy, and th
Sean Carroll: Quantum Mechanics and the Many Worlds Interpretation
In this episode, I interview renowned theoretical physicist Sean Carroll to discuss his book Something Deeply Hidden. Sean breaks down complex ideas in quantum mechanics and cosmology in his popular science books. His research involves theoretical physics and astrophysics, especially cosmology, field theory, and gravit
Daron Acemoglu on Technology, Inequality, and Power
Change is scary. But sometimes it can all work out for the best. There's no guarantee of that, however, even when the change in question involves the introduction of a powerful new technology. Today's guest, Daron Acemoglu, is a political economist who has long thought about the relationship between economics and polit
Joel David Hamkins on Puzzles of Reality and Infinity
The philosophy of mathematics would be so much easier if it weren't for infinity. The concept seems natural, but taking it seriously opens the door to counterintuitive results. As mathematician and philosopher Joel David Hamkins says in this conversation, when we say that the natural numbers are "0, 1, 2, 3, and so on,
François Chollet on Deep Learning and the Meaning of Intelligence
Which is more intelligent, ChatGPT or a 3-year old? Of course this depends on what we mean by "intelligence." A modern LLM is certainly able to answer all sorts of questions that require knowledge far past the capacity of a 3-year old, and even to perform synthetic tasks that seem remarkable to many human grown-ups. Bu
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