boltzmann brains

An Isaac Arthur episode on civilizations in the far future, past the Black Hole Era. It covers iron stars, Boltzmann brains, reversible computing and the idea of reversing entropy.

Lex Fridman interviews Jeff Hawkins, founder of Numenta and author of On Intelligence, about the Thousand Brains Theory and reverse-engineering the neocortex. They also cover Hierarchical Temporal Memory and brain-inspired AI architectures.

Leonard Susskind's Santa Fe Institute talk on the arrow of time: why the past differs from the future when physics equations are time-symmetric. He covers entropy, cosmology and Boltzmann brains.

Isaac Arthur explains the Matrioshka Brain, a hypothetical computer or artificial mind powered by an entire star using nested shells. It covers how such megastructures relate to Dyson spheres and superintelligence.

Geoffrey Hinton's Google Tech Talk linking machine learning to biology, explaining dropout as a form of model averaging and why sexual reproduction and stochastic spiking neurons may prevent overfitting.

Daniel Dennett's Royal Institution lecture on whether the brain is a computer and where its software comes from. He argues that minds are built by evolution and culture, with competence arising without comprehension.

Jeff Hawkins presents his view that the neocortex works on principles different from traditional computers. He describes sparse distributed representations and how they are learned, then shows how Numenta applies them to predict from high-velocity data streams.

Inventor Mary Lou Jepsen demonstrates using red light and sound to see inside the body and brain, aiming at tumor detection and neural activity measurement, and potentially a cheaper wearable MRI replacement.

JetBrains interviews Zig creator Andrew Kelley about why Zig has no 1.0 after a decade, why the project left GitHub, and why it bans AI contributions. He also covers what makes Zig better than C and his views on open source.

Geoff Hinton's 2010 Google Tech Talk on deep belief networks, learning layers of representation one at a time from unlabeled data, and extending them with multiplicative interactions.

Roman Elizarov compares Kotlin Coroutines with OpenJDK Project Loom virtual threads, looking at their design goals and how those translate into different implementations and tradeoffs. He addresses how the two can coexist.

Physicist Carlo Rovelli gives a public lecture at the Royal Institution on how our understanding of time has changed, from Boltzmann and Einstein to quantum theory and loop quantum gravity. He blends physics, philosophy and art to argue that time is stranger than everyday intuition suggests.

Developmental and synthetic biologist Michael Levin speaks at a Harvard Extension student event on bioelectricity, body intelligence and regenerative medicine. He discusses how cell electrical networks guide growth and form.

Sebastian Seung's TED talk introduces the connectome, the map of neural connections he argues defines each person. He explains how mapping it could change how we understand brains and minds.

UCLA professor Dario Nardi presents brain-imaging research suggesting that different Myers-Briggs personality types use their brains in different ways. He discusses how each type can reach a state of creative flow. It is aimed at a general audience.

Philosopher Dan Dennett argues in a TED talk that we do not understand our own consciousness and that our brains often fool us. He uses perceptual examples, including a painting that invites the viewer to fill in detail.

Joseph Henrich's Talks at Google presentation of his book. He argues that human success comes from collective brains and cultural learning across generations rather than individual intelligence.