Courses divide content into bite-sized chunks: exposition, examples, worked problems
A tutor is always easily accessible...except during worked problems!
Set goals and select from a variety of courses
aris.study uses learning science to propose an optimal path for learners through a course, while still allowing choice
An example of exposition
Problems are multiple choice or free-response
The tutor has context and so can help you (without hallucinating!) even with detailed questions
aris.study records not just what problems are solved, but how they are solved so that review can be optimally spaced for maximal retention
Read Great Works
aris.study pushes learners to engage deeply with the text, improving comprehension and retention
Highlight and annotate, then cite your sources to make your case
Courses are graphs: lessons are nodes and edges indicate prerequisites and more

aris.study

Geniuses can be made, and we know how. Alexander the Great, JS Mill, and the Polgar sisters are just a few examples. Each was taught from a young age with one-on-one tutoring. Bloom famously showed that average students can be boosted academically by two standard deviations ("Bloom's two-sigma").

Aristotle tutored Alexander. aris.study tutors everyone.

What?

Learning-science grounded, LLM to scale.
Deterministic learning kernel in Go.
LLM tutor can't do work for you.
Pipeline to ingest public domain source material -> course or reading programme.