AION-LOS — 100K AUON AI Learning Operating System

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v3.87.5-100k-auon-ai-learning-os

Halo. Tanyakan apa saja tentang AI atau machine learning. Saya akan menjawab natural, lengkap, dan terstruktur.

Practice Exam

Pilih topik dari chat, lalu jawab challenge.

100.000 AUON Strategy

Strategic planning untuk memperluas AION-LOS dari 26 seed AUON menjadi 100.000 AUON AI Learning yang terstruktur, searchable, assessable, dan evidence-aware.

Prinsip inti

Kita tidak membuat 100.000 AUON secara manual. Kita membuat AUON Factory: taxonomy → concept extraction → AUON schema → prerequisite graph → tutor answer → challenge → evidence.

Layer 1
Core AI/ML foundations

Layer 2
Math, statistics, optimization

Layer 3
Models, architectures, algorithms

Layer 4
Evaluation, safety, deployment

Layer 5
Projects, labs, case studies

Layer 6
Exam, mastery, evidence

AUON schema minimum

{ "auon_id": "AUON_ai_dataset_representativeness_000001", "title": "Dataset Representativeness", "domain": "AI Learning", "cluster": "Data Foundations", "level": "foundation | intermediate | advanced | expert", "definition": "...", "intuition": "...", "technical_explanation": "...", "examples": [], "misconceptions": [], "prerequisites": [], "next_auons": [], "assessment_items": [], "mastery_evidence": [] }

Roadmap 100.000 AUON

Phase A — 1.000 AUON: core AI/ML, data, model, metrics, optimization, deployment.
Phase B — 10.000 AUON: model families, math depth, evaluation cases, applied domains.
Phase C — 50.000 AUON: project-based learning, industry scenarios, debugging cases.
Phase D — 100.000 AUON: full AI learning graph with adaptive tutoring, exams, and evidence.

Next implementation step

Buat file data/auon_seed_expansion_v001.json berisi 100 AUON awal sebagai jembatan dari 26 seed menuju 1.000 AUON. Setelah itu, UI /auon/ bisa memakai AUON Router untuk memilih jawaban berdasarkan konsep.

AUON Library Seed

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