If a colleague asks you where to begin with active inference, you now have a good, plain answer: send them to the Themesis resource map, then come back and pick a pathway. That is the short version. Here is the teacher version.
What the map is
Themesis published a 2026 resource map that surveys where to start with active inference and lists a small number of learning pathways an educator or practitioner can enter through. Our voice, one line: Where to Start with Active Inference: A Resource Map for 2026 is a curated survey of entry points (Class E), and it names SolutionWright as one of five pathways alongside others (Class C).
That is a factual placement, not an endorsement. We recommend the map because it is a calm, well-organized reading list, not because it says anything special about us.
Why teachers should look at it before choosing a book
Most of the confusion I hear from colleagues comes from starting with the wrong book. Someone hands them a 500-page technical volume, they read 40 pages, decide the field is not for them, and stop. The resource map fixes that by putting the technical volumes, the accessible on-ramps, and the pathway programs in one view (Class E). A teacher can look across the landscape and choose what fits the week they actually have, not the week they wish they had.
That is the pedagogical value. It respects the reader's time and current level.
What I tell colleagues, out loud
I say four things:
- Open the map. Read the top of it. Do not click every link.
- Notice that there is a math on-ramp track and a conceptual track. Both are legitimate. Pick the one that matches how you actually learn.
- If you want a program with a cohort and gates, look at the pathway list. If you want to self-study, use the reading order Themesis suggests.
- Come back and tell me which one you picked, so I can point you at the next step in our own materials.
That last point matters. The map is a starting place, not a destination. After a teacher orients, they still need a next step that matches our classroom vocabulary: evidence classes, gates, the AI-authorship fence, the honest pilot rubric.
Where our materials fit
We treat the Themesis map as the ecosystem view. Our own materials are the classroom view. The two do not compete. If a colleague reads the map and decides they want the conceptual on-ramp first, we hand them our teacher reading order. If they decide they want the math on-ramp, we point them at the T3-aligned prep post and let them decide when to come back for the classroom applications.
We do not paraphrase the Themesis prose in our materials. If a teacher wants the map's own framing, they read the map. If they want our framing, they read us. Keeping those separate is how we stay honest about what is theirs and what is ours.
One caution
The map is a snapshot of 2026. Reading lists age. When you send it to a colleague next year, check the date at the top and mention it. If a link has moved, tell them, do not pretend it still works. This is the same source-hygiene we teach students, applied to ourselves.
What our program is, in one honest sentence
For colleagues who ask what we are actually building: UNI is a working hypothesis on an attainable path toward General Natural Intelligence, a natural, active-inference approach whose evidence is growing, evidence-classed, and tested in the open. Do not take the claim on faith. Test the build, inspect the gates, and help us find where it fails.
That sentence is the one I ask teachers to carry into any conversation about our work. It sets the honesty posture before any technique is discussed.
Next steps for teachers
- Recommended reading order for teachers: the sequence I actually hand colleagues after they finish the map.
- What active inference actually says: a plain-language ground layer, useful if the map's technical entries feel dense.
- Themesis T3 as teacher math prep: the math on-ramp path, for teachers who want the equations before the classroom moves.
- Workshop: where teachers who want a cohort and gates go next.
AI-authorship fence: this note was drafted by a human teacher-practitioner, reviewed against our evidence-class rubric, and published under a named author. No paragraph is presented as machine-authored insight.