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Nofyah Shem Tov, 04/17/2026 10:24 AM

1 1 Nofyah Shem Tov
h1. ET Knowledge Base and Learning
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Everyone at ET learns. This is the learning library.
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h2. How to Study
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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.
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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.
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h2. Anki Flashcard Decks
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Download from issue #264 in the Business project (attached .txt files).
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|_. Level |_. Deck |_. Cards |_. For whom |
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| 1 | NT Foundations | 12 | Everyone |
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| 2 | Neuroregulation Basics | 9 | Everyone |
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| 3 | Trauma-Aware Team Safety | 7 | Everyone |
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| 4 | FDA CDS/SaMD | 6 | Nofyah, Dotan, LEX |
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| 5 | Laravel Stack | 6 | Dotan, UXI |
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| 6 | Dropout Prediction | 6 | Dotan, NAOMI, CLINIC |
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| 7 | Bedrock + Models | 5 | Dotan, NAOMI |
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| 8 | OpenClaw + Agents | 5 | Dotan, all agents |
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| 9 | Security | 4 | Dotan, GUARD |
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| 10 | ACEs Awareness | 10 | Everyone |
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h2. Free Textbooks
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h3. Logic (#251)
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* *Being Logical* by McInerny — START HERE. Plain English.
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* *Handbook of Practical Logic* by Harrison — Advanced. Code-driven.
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* *Automated Theorem Proving* by Pfenning, CMU — Advanced. Practical.
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h3. Mathematical Reasoning (#257)
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* *Math for ML Compact* by Thomas, Berkeley — START HERE. 50 pages.
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* *Intro to Bayesian Thinking* — Practical Bayesian.
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* *Mathematics for Machine Learning* Cambridge — "Download":https://mml-book.github.io/book/mml-book.pdf
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* *Bayesian Reasoning and ML* Barber, UCL — "Download":http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf
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h2. Video Courses (#252)
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* "CrashCourse Philosophy":https://www.youtube.com/playlist?list=PL8dPuuaLjXtNgK6MZucdYldNkMybYIHKR — Logic, animated, beginner
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* "Wireless Philosophy":https://www.youtube.com/c/WirelessPhilosophy — Critical thinking
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* "Oxford Critical Reasoning":https://podcasts.ox.ac.uk/series/critical-reasoning-beginners — 6 lectures
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* "Stanford LLM Lecture":https://x.com/allen_explains/status/2044757995549319172 — How models are built
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h2. Courses (In Development)
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* *NT for the Uninitiated* (#254) — 7 modules, mandatory for buddies
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* *NT 101* (#263) — mandatory for ALL team members
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* *Logic of Narrative Therapy* (#253) — book project
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* *Converse of ACEs* (#255) — book project
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h2. Learning Rules
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* 25 min max per unit. 5 min break enforced.
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* Anki daily: 10-15 min.
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* Shabbat = study hall (learn, do not work).
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* Learning is fun. Treat each deck as a game level.