CHATGPT + WOLFRAM - THE FUTURE OF AI!

Episode #110 HUGE ANNOUNCEMENT, CHATGPT+WOLFRAM! You saw it HERE first! Pod version: https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/110-Dr--STEPHEN-WOLFRAM---HUGE-ChatGPTWolfram-announcement-e210qda Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Stephen's announcement post: https://writings.stephenwolfram.com/2023/03/chatgpt-gets-its-wolfram-superpowers/ OpenAI's announcement post: https://openai.com/blog/chatgpt-plugins In an era of technology and innovation, few individuals have left as indelible a mark on the fabric of modern science as our esteemed guest, Dr. Steven Wolfram. Dr. Wolfram is a renowned polymath who has made significant contributions to the fields of physics, computer science, and mathematics. A prodigious young man too, Wolfram earned a Ph.D. in theoretical physics from the California Institute of Technology by the age of 20. He became the youngest recipient of the prestigious MacArthur Fellowship at the age of 21. Wolfram's groundbreaking computational tool, Mathematica, was launched in 1988 and has become a cornerstone for researchers and innovators worldwide. In 2002, he published "A New Kind of Science," a paradigm-shifting work that explores the foundations of science through the lens of computational systems. In 2009, Wolfram created Wolfram Alpha, a computational knowledge engine utilized by millions of users worldwide. His current focus is on the Wolfram Language, a powerful programming language designed to democratize access to cutting-edge technology. Wolfram's numerous accolades include honorary doctorates and fellowships from prestigious institutions. As an influential thinker, Dr. Wolfram has dedicated his life to unraveling the mysteries of the universe and making computation accessible to all. First of all... we have an announcement to make, you heard it FIRST here on MLST! .... [00:00] Intro [02:57] Big announcement! Wolfram + ChatGPT! [05:33] What does it mean to understand? [13:48] Feeding information back into the model [20:09] Semantics and cognitive categories [23:50] Navigating the ruliad [31:39] Computational irreducibility [38:43] Conceivability and interestingness [43:43] Human intelligible sciences