Why should doctors and health care practitioners learn about artificial intelligence? This is one of the main topics we dive into in this episode of the Smarter Not Harder podcast with guest, Karl Friston.  Karl John Friston FRS FMedSci FRSB is one of the greatest scientists in history whose work has been cited over 245,000 times. He is a British neuroscientist and theoretician at University College London. He is an authority on brain imaging and theoretical neuroscience, especially the use of physics-inspired statistical methods to model neuroimaging data and other random dynamical systems. Karl gives us one cent solutions for the following $64,000 dollar questions:  1. What does "I am therefore I think" mean in the context of the free energy principle? And, what do psychedelics have to do with it? 2. How does one go about inventing in tools to investigate this connection hypothesis of schizophrenia? 3. Why should doctors and health care practitioners learn about artificial intelligence?  If you want to the answers to these questions, hold on tight, we're about to go on an extremely deep dive into these topics! What we discuss:  0:00:43- About Dr. Karl Friston 00:7:22- The disconnection hypothesis of schizophrenia 00:12:07- The challenges of developing tools to investigate the connection hypothesis of schizophrenia 00:24:14 The difficulties of presenting ideas that are ahead of time  00:32:01 How Dr. Karl Friston got involved in the COVID situation 00:45:16 The free energy principle and coacervate droplets 00:59:13 Is biological life necessary for consciousness or is self evidencing enough?  01:09:50 The different theories for explaining the nature of things 01:18:18 The uncertainty of beliefs  01:26:03 What is the REBUS model? 01:33:16 How psychedelics can induce entropy in a controlled way  01:46:37 The definition of Artificial Intelligence  01:51:59 What is the embodied cognition? 01:58:06 Is curiosity necessary for the expression of the free energy principle?   02:14:05 Learning as humans in evolution  02:27:35 The future of machine learning models  02:33:00 What imaging tools need to be developed for the future 02:41:31 What’s next for pharmacology 02:51:59 How we should proceed with psychedelic research Find more from Smarter Not Harder: Website: https://troscriptions.com/blogs/podcast / https://homehope.org Instagram: @troscriptions | @homehopeorg   Get 10% Off Your Purchase of Metabolomics Module by using PODCAST10 athttps://www.homehope.org   Get 10% Off your Trosciptions purchase by using POD10 at https://www.troscriptions.com   Get daily content from the hosts of Smarter Not Harder by following @troscriptions on Instagram.