Thanks a lot. Many thanks goes to Prof. Jamshid Ghasimi (www.linkedin.com/in/jamshid-ghasimi-992a30145/) who helped me design high-quality questions that were appropriate to a guest of Prof. Friston's stature. I am indeed grateful to Prof. Friston for the opportunity.
35:38 beautiful metaphor of the "mountain range" (genesis of stream becoming a river as it goes downhill). Another lay-person here, loving every time a real life example is made. I second @WP Thank you for posting this!!!
Thank you for a genuinely delightful discussion. I am a lay person in all the subject matter that relates to the Free Energy Principle (FEP), whether it is physics, machine learning, robotics, thermodynamics, information science, or what have you. I am exploring the topic in an attempt to grasp where science has brought us in answering those age old questions about being, self, free will, etc., that philosophers and theologians have pondered for millennia. Each time I see one of these interdisciplinary discussions with Professor Friston I get new perspectives and improved understanding of the science and the philosophy. In this case, the discussion about over parameterizations finely cleared up in my mind Friston's reference to "sharp minima," which I had heard him mention before. The part discussing the difference between structured learning and FEP was similarly informative. Very well done on those topics and throughout.
I'm developing an artificial agent based on active inference and epistemic foraging. If anyone would like to help or offer suggestions, I'd like to hear from you.
Great stuff! I would suggest the simple T-maze scenario for your initial development with discrete states and actions. Then you can make it more sophisticated.
@@MLDawn That's a great idea. Thanks. Would you be interested in offering a critique of my model's code in its current state? Or, do you know of anyone looking to collaborate on such a project?
This is one of the most profound and informative dialogue with Karl Friston..deeply grateful for your stimulating questions
Thanks a lot. Many thanks goes to Prof. Jamshid Ghasimi (www.linkedin.com/in/jamshid-ghasimi-992a30145/) who helped me design high-quality questions that were appropriate to a guest of Prof. Friston's stature. I am indeed grateful to Prof. Friston for the opportunity.
My dear son
Congradulation, great job
Narges
Thanks a lot for all your support
35:38 beautiful metaphor of the "mountain range" (genesis of stream becoming a river as it goes downhill). Another lay-person here, loving every time a real life example is made. I second @WP Thank you for posting this!!!
I know, right? Prof. Friston describes all of these technical concepts using the most simplest analogies. I am happy you are enjoying the video.
Deeply rewarding. Continue!! Thank you for this dialogue, andwhere it leads,
@@walterpark8824 much appreciated
Thank you very much for this amazing interview about the most importand subject
You are most welcome. It was such an honor to have Prof. Friston as my guest
Thank you for a genuinely delightful discussion. I am a lay person in all the subject matter that relates to the Free Energy Principle (FEP), whether it is physics, machine learning, robotics, thermodynamics, information science, or what have you. I am exploring the topic in an attempt to grasp where science has brought us in answering those age old questions about being, self, free will, etc., that philosophers and theologians have pondered for millennia. Each time I see one of these interdisciplinary discussions with Professor Friston I get new perspectives and improved understanding of the science and the philosophy. In this case, the discussion about over parameterizations finely cleared up in my mind Friston's reference to "sharp minima," which I had heard him mention before. The part discussing the difference between structured learning and FEP was similarly informative. Very well done on those topics and throughout.
I truly appreciate you taking the time to write down a feedback. Honestly, it was one of the unforgettable experiences of my life.
Great video, as always, keep it up MLDawn
Appreciate it
Excellent, brother, excellent! Both the content and the idea of such interviews :)
I really appreciate it
Ive been watching every interview with friston and this is one of the if not the best one.
amazing
It would be easier to look at the equations after watching the human talk. My beliefs about active inference are starting to form.
I'm developing an artificial agent based on active inference and epistemic foraging. If anyone would like to help or offer suggestions, I'd like to hear from you.
Great stuff! I would suggest the simple T-maze scenario for your initial development with discrete states and actions. Then you can make it more sophisticated.
@@MLDawn That's a great idea. Thanks. Would you be interested in offering a critique of my model's code in its current state? Or, do you know of anyone looking to collaborate on such a project?