Learning

h1. ET Knowledge Base and Learning

Everyone at ET learns. This is the learning library.

h2. How to Study

We use Anki flashcards with the 25/5 Pomodoro method. Download Anki from "ankiweb.net":https://apps.ankiweb.net (free on desktop and Android, web version free at ankiweb.net). Import any .txt file below: File > Import > Tab separator.

Study 10-15 minutes per day. Anki handles spaced repetition automatically. Each deck is a game level. Complete all levels = you understand what ET is building and why.

h2. Anki Flashcard Decks

Download from issue #264 in the Business project (attached .txt files).

|. Level |. Deck |. Cards |. For whom |
| 1 | NT Foundations | 12 | Everyone |
| 2 | Neuroregulation Basics | 9 | Everyone |
| 3 | Trauma-Aware Team Safety | 7 | Everyone |
| 4 | FDA CDS/SaMD | 6 | Nofyah, Dotan, LEX |
| 5 | Laravel Stack | 6 | Dotan, UXI |
| 6 | Dropout Prediction | 6 | Dotan, NAOMI, CLINIC |
| 7 | Bedrock + Models | 5 | Dotan, NAOMI |
| 8 | OpenClaw + Agents | 5 | Dotan, all agents |
| 9 | Security | 4 | Dotan, GUARD |
| 10 | ACEs Awareness | 10 | Everyone |

h2. Free Textbooks

h3. Logic (#251)

• Being Logical by McInerny — START HERE. Plain English.
• Handbook of Practical Logic by Harrison — Advanced. Code-driven.
• Automated Theorem Proving by Pfenning, CMU — Advanced. Practical.

h3. Mathematical Reasoning (#257)

• Math for ML Compact by Thomas, Berkeley — START HERE. 50 pages.
• Intro to Bayesian Thinking — Practical Bayesian.
• Mathematics for Machine Learning Cambridge — "Download":https://mml-book.github.io/book/mml-book.pdf
• Bayesian Reasoning and ML Barber, UCL — "Download":http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf

h2. Video Courses (#252)

• "CrashCourse Philosophy":https://www.youtube.com/playlist?list=PL8dPuuaLjXtNgK6MZucdYldNkMybYIHKR — Logic, animated, beginner
• "Wireless Philosophy":https://www.youtube.com/c/WirelessPhilosophy — Critical thinking
• "Oxford Critical Reasoning":https://podcasts.ox.ac.uk/series/critical-reasoning-beginners — 6 lectures
• "Stanford LLM Lecture":https://x.com/allen_explains/status/2044757995549319172 — How models are built

h2. Courses (In Development)

• NT for the Uninitiated (#254) — 7 modules, mandatory for buddies
• NT 101 (#263) — mandatory for ALL team members
• Logic of Narrative Therapy (#253) — book project
• Converse of ACEs (#255) — book project

h2. Learning Rules

• 25 min max per unit. 5 min break enforced.
• Anki daily: 10-15 min.
• Shabbat = study hall (learn, do not work).
• Learning is fun. Treat each deck as a game level.