causality

Donald Hoffman, Cognitive Psychologist and Science Author, has proposed a theory of consciousness that challenges your everyday assumptions about what reality is. His argument is that our perceptions of cause and effect and what we experience in the physical world isn’t as real as you’d like to think. The metaphor of the virtual headset he uses in these conversations with Tom explains why our experiences are limited and there are things like freewill that we never truly experience. If that’s not heavy enough for you, Hoffman bring mathematical equations into the picture to explain that all consciousness is mathematically structured. This episode is a complete crash course into the world of Donald Hoffman and the illusion of space, time and reality. Some areas you’ll hear explored in this episode include: Is Cause and effect real? The God hypothesis and consciousness Why your reality isn’t real The Truth behind consciousness How evolution hides the matrix (and what’s the red pill) Testing reality & spacetime Can you actually escape the matrix? Do you think it’s possible life is a simulation and we’re in some version of a virtual reality headset? Follow Donald Hoffman: Website:http://www.cogsci.uci.edu/~ddhoff/  Email: ddhoff@uci.edu  Twitter: https://twitter.com/donalddhoffman  Instagram: https://www.instagram.com/donalddhoffman/  SPONSORS: Get 5 free AG1 Travel Packs and a FREE 1 year supply of Vitamin D with your first purchase at https://bit.ly/AG1Impact. Sign up for a one-dollar-per-month trial period at https://bit.ly/ShopifyImpact and supercharge your business! Get FREE GROUND BEEF FOR LIFE plus $20 off your first box at https://bit.ly/ButcherBoxImpact. Get 55% off at https://bit.ly/BabbelImpact and learn a new language today! Are You Ready for EXTRA Impact? If you’re ready to find true fulfillment, strengthen your focus, and ignite your true potential, the Impact Theory subscription was created just for you. Want to transform your health, sharpen your mindset, improve your relationship, or conquer the business world? This is your epicenter of greatness.  This is not for the faint of heart. This is for those who dare to learn obsessively, every day, day after day. Subscription Benefits: Unlock the gates to a treasure trove of wisdom from inspiring guests like Andrew Huberman, Mel Robbins, Hal Elrod, Matthew McConaughey, and many, many, more New episodes delivered ad-free Exclusive access to Tom’s AMAs, keynote speeches, and suggestions from his personal reading list You’ll also get access to an 5 additional podcasts with hundreds of archived Impact Theory episodes, meticulously curated into themed playlists covering health, mindset, business, relationships, and more: Legendary Mindset: Mindset & Self-Improvement Money Mindset: Business & Finance Relationship Theory: Relationships Health Theory: Mental & Physical Health Power Ups: Weekly Doses of Short Motivational Quotes  Subscribe on Apple Podcasts: https://apple.co/3PCvJaz Subscribe on all other platforms (Google Podcasts, Spotify, Castro, Downcast, Overcast, Pocket Casts, Podcast Addict, Podcast Republic, Podkicker, and more) : https://impacttheorynetwork.supercast.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Sam Harris speaks with Jay Garfield about the illusion of the self. They discuss the default sense of subjectivity, the difference between absolute and conventional truth, interdependence, free will, subject-object duality, emptiness, the “mind-only” school of Buddhism, scientific realism and experiential anti-realism, and other topics.

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Learning how to train your mind is the single greatest investment you can make in life. That’s why Sam Harris created the Waking Up app. From rational mindfulness practice to lessons on some of life’s most important topics, join Sam as he demystifies the practice of meditation and explores the theory behind it.

Types of experiment, laboratory and field experiments; natural and quasi-experiments.

Judea Pearl is a professor at UCLA and a winner of the Turing Award, that's generally recognized as the Nobel Prize of computing. He is one of the seminal figures in the field of artificial intelligence, computer science, and statistics. He has developed and championed probabilistic approaches to AI, including Bayesian Networks and profound ideas in causality in general. These ideas are important not just for AI, but to our understanding and practice of science. But in the field of AI, the idea of causality, cause and effect, to many, lies at the core of what is currently missing and what must be developed in order to build truly intelligent systems. For this reason, and many others, his work is worth returning to often. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts or support it on Patreon. This episode is presented by Cash App. Download it (App Store, Google Play), use code "LexPodcast".  Here's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. 00:00 - Introduction 03:18 - Descartes and analytic geometry 06:25 - Good way to teach math 07:10 - From math to engineering 09:14 - Does God play dice? 10:47 - Free will 11:59 - Probability 22:21 - Machine learning 23:13 - Causal Networks 27:48 - Intelligent systems that reason with causation 29:29 - Do(x) operator 36:57 - Counterfactuals 44:12 - Reasoning by Metaphor 51:15 - Machine learning and causal reasoning 53:28 - Temporal aspect of causation 56:21 - Machine learning (continued) 59:15 - Human-level artificial intelligence 1:04:08 - Consciousness 1:04:31 - Concerns about AGI 1:09:53 - Religion and robotics 1:12:07 - Daniel Pearl 1:19:09 - Advice for students 1:21:00 - Legacy

Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon.

On this episode of the podcast, we talk about David Hume! First, we learn about Hume’s ‘is’ versus ‘ought’ distinction and how not being mindful of this pitfall can lead us down a dangerous path. Next, we discuss the limitations of science and learn what Hume thought should fill in the gaps it leaves (spoiler alert: it’s not religion). Finally, we discuss Hume’s thoughts on causality and ensure that you’ll never think about playing pool the same way again. All this and more on the latest episode of Philosophize This! Thank you so much for listening! Could never do this without your help.  Website: https://www.philosophizethis.org/ Patreon: https://www.patreon.com/philosophizethis  Social: Instagram: https://www.instagram.com/philosophizethispodcast X: https://twitter.com/iamstephenwest Facebook: https://www.facebook.com/philosophizethisshow