And now for something completely different!  Last October, The Santa Fe Institute held its third InterPlanetary Festival at SITE Santa Fe, celebrating the immensely long time horizon, deep scientific and philosophical questions, psychological challenges, and engineering problems involved in humankind’s Great Work to extend its understanding and presence into outer space. For our third edition, we turned our attention to visionary projects living generations will likely not live to see completed — interstellar travel, off-world cities, radical new ways of understanding spacetime — as an invitation to engage in science as not merely interesting but deeply fun. For our first panel, we decided to inquire: What is time, really? How has science fiction changed  the way we track and measure, speak about, and live in time? And how do physics and complex systems science pose and answer these most fundamental questions?Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I’m your host, Michael Garfield, and every other week we’ll bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.In this week’s episode, we share the Complex Conceptions of Time panel from InterPlanetary Festival 2022, moderated by SFI President David Krakauer and featuring an all-star trinity of panelists: science journalist James Gleick, sci-fi author and SFI Miller Scholar Ted Chiang, and physicist and SFI Professor David Wolpert. In this hour, we play with and dissect some favorite metaphors for time, unroll the history of time’s mathematization, review time travel in science fiction, and examine the arguments between free will and determinism.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com — as well as the extensive, interactive web-based “Voyager Golden Record Liner Notes” with links to not only all of the panels from IPFest 2022 but also copious additional resources, including contributor bios, peer-reviewed publications, science fiction and nonfiction science writing, and more…If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts or Spotify, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage.If you’d like some HD virtual backgrounds of the SFI campus to use on video calls and a chance to win a signed copy of one of our books from the SFI Press, help us improve our science communication by completing a survey about our various scicomm channels. Thanks for your time!Lastly, we have a bevy of summer programs coming up! Join us June 19-23 for Collective Intelligence: Foundations + Radical Ideas, a first-ever event open to both academics and professionals, with sessions on adaptive matter, animal groups, brains, AI, teams, and more.  Space is limited!  The application deadline has been extended to March 1st.OR apply to the Graduate Workshop on Complexity in Social Science.OR the Complexity GAINS UK program for PhD students.(OR check our open listings for a staff or research job!)Join our Facebook discussion group to meet like minds and talk about each episode.Podcast theme music by Mitch Mignano.Episode cover art by Michael Garfield with the help of Midjourney.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedIn(SOME) Mentioned & Related Links:David KrakauerMathematical languages shape our understanding of time in physicsby Nicolas GisinDoes Time Really Flow? New Clues Come From a Century-Old Approach to Mathby Natalie WolchoverThe Principle of Least ActionPath Integral FormulationClosed Timelike CurveThe Time Machineby H. G. WellsKip ThorneJames GleickGenius: The Life and Science of Richard FeynmanThe Physicist and The Philosopherby Jimena CanalesTed Chiang“Story of Your Life”ArrivalExhalationRussian Doll (TV series)“The Merchant and the Alchemist's Gate”David WolpertComplexity 94 - David Wolpert & Farita Tasnim on The Thermodynamics of CommunicationComplexity 45 - David Wolpert on The No Free Lunch Theorems and Why They Undermine The Scientific MethodA Connecticut Yankee in King Arthur’s Court by Mark TwainIntuitionist Mathematics

Tech futurists have been saying for decades that artificial intelligence will transform the way we live. In some ways, it already has: Think autocorrect, Siri, facial recognition. But ChatGPT and other generative A.I. models are also prone to getting things wrong—and whether the programs will improve with time is not altogether clear. So what purpose, exactly, does this iteration of A.I. actually serve, how is it likely to be adopted, and who stands to benefit (or suffer) from it? On episode 67 of The Politics of Everything, hosts Laura Marsh and Alex Pareene talk with Washington Post reporter Will Oremus about a troubling tale of A.I. fabulism; with science fiction author Ted Chiang about ramifications of an A.I-polluted internet; and with linguist Emily M. Bender about what large-language models can and cannot do—and whether we’re asking the right questions about this technology. Learn more about your ad choices. Visit megaphone.fm/adchoices

Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Dr. Raphaël Millière is the 2020 Robert A. Burt Presidential Scholar in Society and Neuroscience in the Center for Science and Society, and a Lecturer in the Philosophy Department at Columbia University. His research draws from his expertise in philosophy and cognitive science to explore the implications of recent progress in deep learning for models of human cognition, as well as various issues in ethics and aesthetics. He is also investigating what underlies the capacity to represent oneself as oneself at a fundamental level, in humans and non-human animals; as well as the role that self-representation plays in perception, action, and memory. In a world where technology is rapidly advancing, Dr. Millière is striving to gain a better understanding of how artificial neural networks work, and to establish fair and meaningful comparisons between humans and machines in various domains in order to shed light on the implications of artificial intelligence for our lives. https://www.raphaelmilliere.com/ https://twitter.com/raphaelmilliere Here is a version with hesitation sounds like "um" removed if you prefer (I didn't notice them personally): https://share.descript.com/view/aGelyTl2xpN YT: https://www.youtube.com/watch?v=fhn6ZtD6XeE TOC: Intro to Raphael [00:00:00] Intro: Moving Beyond Mimicry in Artificial Intelligence (Raphael Millière) [00:01:18] Show Kick off [00:07:10] LLMs [00:08:37] Semantic Competence/Understanding [00:18:28] Forming Analogies/JPG Compression Article [00:30:17] Compositional Generalisation [00:37:28] Systematicity [00:47:08] Language of Thought [00:51:28] Bigbench (Conceptual Combinations) [00:57:37] Symbol Grounding [01:11:13] World Models [01:26:43] Theory of Mind [01:30:57] Refs (this is truncated, full list on YT video description): Moving Beyond Mimicry in Artificial Intelligence (Raphael Millière) https://nautil.us/moving-beyond-mimicry-in-artificial-intelligence-238504/ On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 (Bender et al) https://dl.acm.org/doi/10.1145/3442188.3445922 ChatGPT Is a Blurry JPEG of the Web (Ted Chiang) https://www.newyorker.com/tech/annals-of-technology/chatgpt-is-a-blurry-jpeg-of-the-web The Debate Over Understanding in AI's Large Language Models (Melanie Mitchell) https://arxiv.org/abs/2210.13966 Talking About Large Language Models (Murray Shanahan) https://arxiv.org/abs/2212.03551 Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data (Bender) https://aclanthology.org/2020.acl-main.463/ The symbol grounding problem (Stevan Harnad) https://arxiv.org/html/cs/9906002 Why the Abstraction and Reasoning Corpus is interesting and important for AI (Mitchell) https://aiguide.substack.com/p/why-the-abstraction-and-reasoning Linguistic relativity (Sapir–Whorf hypothesis) https://en.wikipedia.org/wiki/Linguistic_relativity Cooperative principle (Grice's four maxims of conversation - quantity, quality, relation, and manner) https://en.wikipedia.org/wiki/Cooperative_principle

Paul Giamatti and Stephen Asma have an intriguing conversation with award-winning fiction writer Ted Chiang. They delve into the blurring of reality and fiction when it comes to alien life and mistaking actors for assassins. The impact of social media on conspiracy theories is explored, along with the concept of singularity and its potential influence on society. The discussion also touches on the fascinating topic of AI romance and the appeal of relationships with chatbots. Virtual relationships and the emotional trauma associated with them are also examined.

Gary F. Marcus, a best-selling author and AI expert, teams up with acclaimed sci-fi writer Ted Chiang to explore the complex landscape of artificial intelligence. They delve into the ethical implications of AI, advocating for technology aligned with human rights. The discussion reveals the whims and limitations of AI language models, the risks of generative AI, and the need for robust policies. They emphasize the importance of understanding causal reasoning in AI and the challenges of integrating personal AI assistants into our lives, urging a balance between innovation and accountability.