Understanding Model Scaling Laws via Student Analogy
Ubunta · x · 2026-08-19
The author explains model scaling laws using a student analogy:
- Brain size (params): Like shelf space, capacity not reasoning steps. MoE separates this.
- Books (data): Study material.
- Time per question (compute): Reasoning depth.
- Tutor (alignment): Guidance.
Economics: Models sit millions of exams, so you pay every time. This explains why open-weight models train past the inflection point—expensive once, cheap forever. Recent gains show post-training is the critical dial.
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