Wiki » History » Revision 2
Revision 1 (Nofyah Shem Tov, 04/17/2026 10:24 AM) → Revision 2/3 (Nofyah Shem Tov, 04/17/2026 10:34 AM)
h1. ET Knowledge Base and Learning --- h1. For Everyone at ET learns. This is the Team (Humans) 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/Android, desktop and Android, web version free). free at ankiweb.net). Import any .txt files: file below: File > Import > Tab separator. Study 10-15 min 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 (#264) 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 Dotan, LEX | | 5 | Laravel Stack | 6 | Dotan Dotan, UXI | | 6 | Dropout Prediction | 6 | Dotan, Gavi NAOMI, CLINIC | | 7 | Bedrock + Models | 5 | Dotan, Gavi NAOMI | | 8 | OpenClaw + Agents | 5 | Dotan Dotan, all agents | | 9 | Security | 4 | Dotan Dotan, GUARD | | 10 | ACEs Awareness | 10 | Everyone | h2. Free Textbooks *Start here:* h3. Logic (#251) * *Being Logical* by McInerny (#251) — plain English, no math 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 (#257) Thomas, Berkeley — START HERE. 50 pages, essentials *Go deeper:* pages. * Harrison *Intro to Bayesian Thinking* — Practical Logic (#251) Bayesian. * Bayesian Reasoning, Barber (#257) * Mathematics *Mathematics for Machine Learning, Learning* Cambridge (#257) — "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 * "Wireless Philosophy":https://www.youtube.com/c/WirelessPhilosophy "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 and new hires * *NT 101* (#263) — mandatory for ALL team members, prerequisite for hiring members * *Logic of Narrative Therapy* (#253) — book project * *Converse of ACEs* (#255) — book project h2. NotebookLM Study Structure (#258) 4 notebooks with MIT learning hacks. Details in #258. h2. Learning Rules * 25 min max per unit. 5 min break. break enforced. * Anki daily: 10-15 min. * Shabbat = study hall (learn, do not work). * Learning is fun. Each Treat each deck is as a game level. --- h1. For the Agents (Bots) h2. Skills Architecture (#197, #198) Agents learn through Skill files (Markdown with YAML frontmatter). Skills load on demand per task. Progressive disclosure: name and description always loaded, full body only when relevant. h2. Logic Training (#247) 6 agents trained in Aristotelian logic: BOLT, TESTER, LEX, CLINIC, CFO, UXI. They read Harrison chapters 1-3, practice syllogisms, and audit the 462-probe eval for logical validity. All other agents get their work reviewed by a logic-trained agent. Textbooks: Harrison Practical Logic (#251), Pfenning Automated Theorem Proving (#251). h2. Mathematical Reasoning (#257) NAOMI reads all 4 math textbooks (owns model training). TESTER reads compact + Bayesian (eval design). CFO reads Bayesian (financial modeling). CLINIC reads Bayesian intro (clinical reasoning). h2. Teaching NaomiLM (#240) ET team agents teach NaomiLM through DPO training pairs: * LYRA teaches NT voice (15+ rules, good/bad examples) * TESTER teaches safety evaluation (462-probe distilled, pass/fail pairs) * CLINIC teaches clinical knowledge (trauma types, NT methods, 10 scenarios) * BOLT teaches anti-sycophancy (honest vs sycophantic response pairs) h2. ZELDA Cookbooks (#261) 40 training cookbooks at webapp/docs/training/zelda-*.md covering: color theory, typography, layout, animation, brand tokens, trauma-informed design, accessibility, Figma, Framer, Grok Imagine, Midjourney, FLUX, Google Veo, Gemini, Blender (6 cookbooks), Stable Diffusion, Three.js, WebGL. Review assignments in #261. h2. Agent Learning Rules * Agents practice skills autonomously and earn cookies for completed work (#217) * Shabbat = study hall. Agents search web, read, study, teach each other. No code, no deploys, no Redmine. * The Director polls agents: what do you need to learn? (#239) * GUARD reviews every external resource before any agent uses it. --- _Last updated: 2026-04-17._