Evolution doesn’t fix things — it reinvents them. A biologist explains.

In this episode, I interview Dr. Robert Sapolsky, Ph.D., Professor of Biology, Neurology & Neurosurgery at Stanford University. We discuss stress, what defines short-term versus long-term stress, and how stress can be beneficial or detrimental, depending on the context. We also discuss stress mitigation and how our sense of control over stress mitigation techniques, including exercise, determine health outcomes. Dr. Sapolsky explains some of the key effects of the hormone testosterone — how it can amplify pre-existing tendencies for aggression or sexual behavior, but that it does not produce those behaviors per se. He also explains how testosterone impacts our social hierarchies, sense of confidence, and willingness to embrace challenges of different kinds. He also explains how our behaviors and perceptions shape testosterone levels. And we discuss estrogen and the powerful role it plays in brain development, health and longevity. Finally, we discuss free will, what it means to have free will, and if we have any free will, including how knowledge alone might allow us to make better decisions for ourselves and society.
#HubermanLab #Testosterone #Stress.
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How can consciousness be addressed scientifically? The Tucson conference, founded in 1994 and celebrating its 20th anniversary in 2014, exemplifies the quest. What are the range of theories? Where do participants position themselves? Meet the founders, early visionaries, new scientists and thinkers. Progress is being made, but what does this really mean?
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Ned block is silver professor in the departments of philosophy and psychology and the center for neural science at new york university.
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In this episode of Universe of Art, astrophysicist Dr. Erin Macdonald talks about consulting on the famous series and the real (and fictional) science on screen.
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Mentioned Videos:
AI designing Computer Chips: https://youtu.be/NeHgMaIkPuY
Deepmind AI made a Breakthrough in Math: https://youtu.be/DU6WINoehrg.
Deepmind Paper “Faster sorting algorithms discovered using deep reinforcement learning”:
https://www.nature.com/articles/s41586-023-06004-9
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