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    Explore "game theory" with insightful episodes like "390. The Prisoner's Dilemma, Tit-for-Tat and Game Theory | Robert Sapolsky", "The Game of the UAW Strikes", "BTC140: Game Theory and Bitcoin w/ Scott Lindberg (Bitcoin Podcast)", "The bot Cicero can collaborate, scheme and build trust with humans. What does this mean for the next frontier of AI? With Noam Brown, Research Scientist at Meta" and "Why Game Theory is Not About Competition" from podcasts like ""The Jordan B. Peterson Podcast", "Motley Fool Money", "We Study Billionaires - The Investor’s Podcast Network", "No Priors: Artificial Intelligence | Machine Learning | Technology | Startups" and "Economics Explained"" and more!

    Episodes (20)

    390. The Prisoner's Dilemma, Tit-for-Tat and Game Theory | Robert Sapolsky

    390. The Prisoner's Dilemma, Tit-for-Tat and Game Theory | Robert Sapolsky

    Dr. Jordan B Peterson sits down with Neuroendocrinology researcher and author of the upcoming book Determined: A Science of Life Without Free Will, Robert Sapolsky. They discuss how Game Theory applies to human behavior across iterative rounds of play, the unexpected success of the tit-for-tat principle, the role of dopamine in the anticipation of the future, and the objective reality of transcendent structures within our biological routines.

     

    Robert Sapolsky is an American Neuroendocrinology researcher, author, and communicator. He has spent decades studying primates in the wild, written numerous articles and books, as well as produced multiple video series on the subject. By the age of 12, Sapolsky was writing to well known primatologists as a fan, and had also begun teaching himself swahili with the early ambition of heading to Tanzanian, Mozambique, and Kenya in search of his own primates (Specifically Silverback Gorillas) to study. Not too much later, Sapolsky would make contact with a group of gorillas in Kenya, a group he would visit every year for 25 years, spending 4 months studying them at a time.  Sapolsky would go on to become the John A. and Cynthia Fry Gunn Professor at Stanford University, holding joint appointments in several departments, including Biological Sciences, Neurology & Neurological Sciences, and Neurosurgery.

     

     

     

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    Determined (Book) https://www.amazon.com/Determined-Science-Life-without-Free/dp/B0BVNSX4CQ/?_encoding=UTF8&pd_rd_w=QFjFx&content-id=amzn1.sym.579192ca-1482-4409-abe7-9e14f17ac827&pf_rd_p=579192ca-1482-4409-abe7-9e14f17ac827&pf_rd_r=138-5878495-9086964&pd_rd_wg=c78OT&pd_rd_r=59b94cd4-c046-4970-af71-a6cd4f439f77&ref_=aufs_ap_sc_dsk

     

    Behave (Book) https://www.penguinrandomhouse.com/books/592344/determined-by-robert-m-sapolsky/

     

    Robert Sapolsky on X https://twitter.com/robot_sapolsky?lang=en

     

    The Game of the UAW Strikes

    The Game of the UAW Strikes
    If you want to know the reasons behind someone’s actions, it’s important to find out the incentives. (00:21) Jason Moser and Deidre Woollard discuss: - If a SPARC is the new SPAC. - Being cautious about IPOs. - The impossibility of creating a super app. (13:50)  Ricky Mulvey interviews Marc Robinson, the principal consultant at MSR Strategy and an expert in game theory to understand the rules of the game in this United Autoworkers strike. Claim your Stock Advisor discount here:  www.fool.com/mfmdiscount Companies discussed: F, GM, STLA, PYPL Host: Deidre Woollard Guests: Jason Moser, Ricky Mulvey, Marc Robinson Producer: Ricky Mulvey Engineers: Rick Engdahl, Dan Boyd Learn more about your ad choices. Visit megaphone.fm/adchoices

    BTC140: Game Theory and Bitcoin w/ Scott Lindberg (Bitcoin Podcast)

    BTC140: Game Theory and Bitcoin w/ Scott Lindberg (Bitcoin Podcast)
    One of the most important topics in Bitcoin is this idea of game theory and the mutually reinforcing incentives to keep the entire network balanced and beneficial to all participants. Preston Pysh and Scott Lindberg cover all sorts of interesting ideas around Bitcoin’s overall game theory on today's episode. IN THIS EPISODE, YOU’LL LEARN: 00:00 - Intro 02:30 - An overview of Game Theory. 12:53 - The critical difference between infinite and finite games. 23:21 - What Satoshi had to consider when designing Bitcoin from the start. 38:04 - What are some of Scott's favorite game theory aspects found in Bitcoin? 42:51 - How Scott designed a playable game around Bitcoin. 46:27 - The iteration process for designing games that are playable and balanced. 56:19 - How game designers account for skilled players playing a game with unskilled players. 01:03:28 - What Volatility does to a games design. BOOKS AND RESOURCES Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Stig, Clay, and the other community members. Hodl-Up Game. Scott's Company: Free Market Kids. Scott's book that accompanies the Hodl-up Game. Scott's Twitter. Scott's Nostr. Scott's Book Recommendation: The Infinite Game. Preston's Book Recommendation: The Characteristic of Games.   NEW TO THE SHOW? Check out our We Study Billionaires Starter Packs. Browse through all our episodes (complete with transcripts) here. Try our tool for picking stock winners and managing our portfolios: TIP Finance Tool. Enjoy exclusive perks from our favorite Apps and Services. Stay up-to-date on financial markets and investing strategies through our daily newsletter, We Study Markets. Learn how to better start, manage, and grow your business with the best business podcasts.     SPONSORS Support our free podcast by supporting our sponsors: River Toyota Linkedin Marketing Solutions Fidelity Efani Shopify NDTCO Fundrise Wise NetSuite TurboTax Vacasa NerdWallet Babbel Learn more about your ad choices. Visit megaphone.fm/adchoices

    The bot Cicero can collaborate, scheme and build trust with humans. What does this mean for the next frontier of AI? With Noam Brown, Research Scientist at Meta

    The bot Cicero can collaborate, scheme and build trust with humans. What does this mean for the next frontier of AI? With Noam Brown, Research Scientist at Meta
    AGI can beat top players in chess, poker, and, now, Diplomacy. In November 2022, a bot named Cicero demonstrated mastery in this game, which requires natural language negotiation and cooperation with humans. In short, Cicero can lie, scheme, build trust, pass as human, and ally with humans. So what does that mean for the future of AGI? This week’s guest is research scientist Noam Brown. He co-created Cicero on the Meta Fundamental AI Research Team, and is considered one of the smartest engineers and researchers working in AI today. Co-hosts Sarah Guo and Elad Gil talk to Noam about why all research should be high risk, high reward, the timeline until we have AGI agents negotiating with humans, why scaling isn’t the only path to breakthroughs in AI, and if the Turing Test is still relevant. Show Links: More about Noam Brown Read the research article about Cicero (diplomacy) published in Science.  Read the research article about Liberatus  (heads-up poker) published in Science.  Read the research article about Pluribus (multiplayer poker) published in Science.  Watch the AlphaGo Documentary. Read “How Smart Are the Robots Getting?” by New York Times reporter Cade Metz  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Polynoamial Show Notes:  [01:43] - What sparked Noam’s interest in researching AI that could defeat games [6:00] - How the AlexaNET and AlphaGo changed the landscape of AI research [8:09] - Why Noam chose Diplomacy as the next game to work on after poker [9:51] - What Diplomacy is and why the game was so challenging for an AI bot [14:50] - Algorithmic breakthroughs and significance of AI bots that win in No-Limit Texas Hold'em poker [23:29] - The Nash Equilibrium and optimal play in poker [24:53] - How Cicero interacted with humans  [27:58] - The relevance and usefulness of the Turing Test [31:05] - The data set used to train Cicero [31:54] - Bottlenecks to AI researchers and challenges with scaling [40:10] - The next frontier in researching games for AI [42:55] - Domains that humans will still dominate and applications for AI bots in the real world [48:13] - Reasoning challenges with AI

    #314 – Liv Boeree: Poker, Game Theory, AI, Simulation, Aliens & Existential Risk

    #314 – Liv Boeree: Poker, Game Theory, AI, Simulation, Aliens & Existential Risk
    Liv Boeree is a poker champion and science educator on topics of game theory, physics, complexity, and life. Please support this podcast by checking out our sponsors: - Audible: https://audible.com/lex to get 30-day free trial - GiveWell: https://www.givewell.org and use code Lex Fridman Podcast - Linode: https://linode.com/lex to get $100 free credit - Indeed: https://indeed.com/lex to get $75 credit - ExpressVPN: https://expressvpn.com/lexpod to get 3 months free EPISODE LINKS: Liv's Twitter: https://twitter.com/liv_boeree Liv's Instagram: https://instagram.com/liv_boeree Liv's Facebook: https://facebook.com/livboeree Liv's YouTube: https://youtube.com/user/LivBoeree Books and resources mentioned: Novacene: https://amzn.to/3wcVqEo POSITIVITY: https://amzn.to/3K2pfxj Meditations on Moloch: https://slatestarcodex.com/2014/07/30/meditations-on-moloch PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: - Check out the sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (06:23) - Poker and game theory (13:26) - Dating optimally (18:18) - Learning (26:30) - Daniel Negreanu (31:38) - Phil Hellmuth (34:11) - Greatest poker player ever (38:29) - Bluffing (48:50) - Losing (58:05) - Mutually assured destruction (1:03:00) - Simulation hypothesis (1:19:38) - Moloch (1:48:50) - Beauty (2:00:58) - Quantifying life (2:21:08) - Existential risks (2:39:31) - AI (2:49:22) - Energy healing (2:56:32) - Astrophysics (2:59:26) - Aliens (3:25:08) - Advice for young people (3:27:13) - Music (3:35:02) - Meaning of life

    The Sunday Read: ‘How A.I. Conquered Poker’

    The Sunday Read: ‘How A.I. Conquered Poker’

    If you didn’t think poker and artificial intelligence could be bedfellows, think again. Keith Romer delves into the history of man’s pursuit of the perfect game of poker, and explains how the use of A.I. is altering how it is played: individuals using an algorithmic “solver program” to analyze potential weaknesses about themselves and their opponents, thus gaining an advantage.

    While it feels futuristic, this desire to optimize poker isn’t new.

    Are these new generations of A.I. tools merely a continuation of a longer pattern of technological innovation in poker, or does it mark an irreversible structural shift? One thing’s for certain: The stakes are high.

    This story was written by Keith Romer. To hear more audio stories from publications like The New York Times, download Audm for iPhone or Android.

    164 | Herbert Gintis on Game Theory, Evolution, and Social Rationality

    164 | Herbert Gintis on Game Theory, Evolution, and Social Rationality

    How human beings behave is, for fairly evident reasons, a topic of intense interest to human beings. And yet, not only is there much we don’t understand about human behavior, different academic disciplines seem to have developed completely incompatible models to try to explain it. And as today’s guest Herb Gintis complains, they don’t put nearly enough effort into talking to each other to try to reconcile their views. So that what he’s here to do. Using game theory and a model of rational behavior — with an expanded notion of “rationality” that includes social as well as personally selfish interests — he thinks that we can come to an understanding that includes ideas from biology, economics, psychology, and sociology, to more accurately account for how people actually behave.

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    Herbert Gintis received his PhD in economics from Harvard University. After a long career as professor of economics at the University of Massachusetts, he is currently a professor at Central European University and an External Professor at the Santa Fe Institute. His book Schooling in Capitalist America, written with frequent collaborator Samuel Bowles, is considered a classic in educational reform. He has published books and papers on economics, game theory, sociology, evolution, and numerous other topics.


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    113 | Cailin O'Connor on Game Theory, Evolution, and the Origins of Unfairness

    113 | Cailin O'Connor on Game Theory, Evolution, and the Origins of Unfairness

    You can’t always get what you want, as a wise person once said. But we do try, even when someone else wants the same thing. Our lives as people, and the evolution of other animals over time, are shaped by competition for scarce resources of various kinds. Game theory provides a natural framework for understanding strategies and behaviors in these competitive settings, and thus provides a lens with which to analyze evolution and human behavior, up to and including why racial or gender groups are consistently discriminated against in society. Cailin O’Connor is the author or two recent books on these issues: Games in the Philosophy of Biology and The Origins of Unfairness: Social Categories and Cultural Evolution.

    Support Mindscape on Patreon.

    Cailin O’Connor received her Ph.D. in Philosophy from the University of California, Irvine. She is currently Associate Professor of Logic and Philosophy of Science and a member of the Institute for Mathematical Behavioral Science at UCI. Her works involves questions in the philosophy of biology and behavioral science, game theory, agent-based modeling, social epistemology, decision theory, rational choice, and the spread of misinformation.


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    Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning

    Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
    Michael Kearns is a professor at University of Pennsylvania and a co-author of the new book Ethical Algorithm that is the focus of much of our conversation, including algorithmic fairness, bias, privacy, and ethics in general. But, that is just one of many fields that Michael is a world-class researcher in, some of which we touch on quickly including learning theory or theoretical foundations of machine learning, game theory, algorithmic trading, quantitative finance, computational social science, and more. 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 sponsored by Pessimists Archive podcast. Here's the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode): 00:00 - Introduction 02:45 - Influence from literature and journalism 07:39 - Are most people good? 13:05 - Ethical algorithm 24:28 - Algorithmic fairness of groups vs individuals 33:36 - Fairness tradeoffs 46:29 - Facebook, social networks, and algorithmic ethics 58:04 - Machine learning 58:05 - Machine learning 59:19 - Algorithm that determines what is fair 1:01:25 - Computer scientists should think about ethics 1:05:59 - Algorithmic privacy 1:11:50 - Differential privacy 1:19:10 - Privacy by misinformation 1:22:31 - Privacy of data in society 1:27:49 - Game theory 1:29:40 - Nash equilibrium 1:30:35 - Machine learning and game theory 1:34:52 - Mutual assured destruction 1:36:56 - Algorithmic trading 1:44:09 - Pivotal moment in graduate school

    Tuomas Sandholm: Poker and Game Theory

    Tuomas Sandholm: Poker and Game Theory
    Tuomas Sandholm is a professor at CMU and co-creator of Libratus, which is the first AI system to beat top human players at the game of Heads-Up No-Limit Texas Hold'em. He has published over 450 papers on game theory and machine learning, including a best paper in 2017 at NIPS / NeurIPS. His research and companies have had wide-reaching impact in the real world, especially because he and his group not only propose new ideas, but also build systems to prove these ideas work in the real world. Video version is available on YouTube. 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, or YouTube where you can watch the video versions of these conversations.

    Stuart Russell: Long-Term Future of AI

    Stuart Russell: Long-Term Future of AI
    Stuart Russell is a professor of computer science at UC Berkeley and a co-author of the book that introduced me and millions of other people to AI, called Artificial Intelligence: A Modern Approach.  Video version is available on YouTube. 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, or YouTube where you can watch the video versions of these conversations.

    #250: The Art of Strategy

    #250: The Art of Strategy

    Whether you’re a businessman, a statesman, a general, or a parent, you’re strategizing on a daily basis. So how do you do it better?
    My guest today will provide some insights. His name is Barry Nalebuff. He’s a game theory expert and the author of "The Art of Strategy: A Game Theorist's Guide to Success in Business and Life." On the show Barry and I discuss how game theory can help you make better strategic decisions in all sorts of situations. We explore why threatening to punish your child’s sibling for bad behavior might be a more effective strategy than threatening to punish the child himself, what Donald Trump can teach us about the promise and perils of injecting randomness into your strategy, and how you can use game theory against yourself to lose weight or even quit smoking.

    43: Seinfeld Can Teach You Everything You Need About Economics

    43: Seinfeld Can Teach You Everything You Need About Economics

    The hit show Seinfeld is often referred to as the show about nothing, but maybe it's actually a show all about economics. Alan Grant is an associate professor of economics at Baker University and a proprietor of The Economics of Seinfeld, a website that catalogues all the ways the legendary sitcom imparts valuable economic lessons. In the latest edition of the Odd Lots podcast, Grant talks about what you can learn from watching the show, and the specific lessons of various episodes, including The Chinese Restaurant (a lesson in opportunity cost), The Contest (a lesson in time preference) and the apartment (rationing mechanisms and rent control).

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