825 B
825 B
Didactopus
Didactopus is a local-first AI-assisted autodidactic mastery platform.
This revision upgrades the evidence layer from simple averaging to a more realistic weighted and recency-aware mastery model.
Added in this revision
- evidence-type weighting
- recency weighting
- confidence estimation from weighted evidence mass
- dimension-level rubric storage
- weighted concept summaries
- mastery decisions using weighted score and confidence
- resurfacing from recent weak evidence
- tests for weighted scoring and recency behavior
Why this matters
Not all evidence should count equally.
A capstone project or transfer task should usually matter more than a short explanation, and recent poor performance should sometimes matter more than older success. This revision begins to model that explicitly.