Where to Start with Active Inference — A Resource Map for 2026

Most people studying AI have never encountered active inference — not because it's obscure, but because it solves different problems than the LLM stack most courses cover. In this video, I walk through five concrete pathways for learning active inference in 2026: from conceptual overviews to hands-on Python labs. Honest about what each requires. No hype. Resources mentioned: AIX Global Innovations / Learning Lab Central: https://deniseholt.us/ SolutionWright: https://solutionwright.com Active Inference Institute: https://activeinference.institute Themesis courses: https://themesis.thinkific.com/ Companion blogpost: https://themesis.com/2026/06/29/where... To Opt-In: https://themesis.com/themesis/ For the blogpost associated with this video: https://themesis.com/2026/06/29/where... The Themesis three-week short course, "Top Ten Terms in Statistical Mechanics," is designed to give students a gentle-yet-intensive immersion into sufficient statistical mechanics vocabulary so that the student can go on to read papers in generative AI and AGI that were previously inaccessible. This course gives students a conceptual (no code, very light math) contrast-and-compare study on how emerging AGI will differ from both generative AI and classic AI, and also identify how active inference is a form of generative AI, extending foundational work in variational inference. Daily readings and reflection exercises; weekly Zoom meetings for scheduled cohorts. (Information will be opened up on this course shortly.) Here's the link to the Themesis Academy, where you can traverse a link to the actual course offerings on themesis.thinkific.com: https://themesis.thinkific.com/ Here's the link to the Themesis Muse offerings: https://themesis.com/muse/ Subscribe to the Themesis YouTube channel easily - click this link:    / @themesisinc.4045