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Model distillation

A vast monolithic structure of glowing strata sending a single beam of light across darkness into a small object that glows from within
AI

How Big Models Teach Small Models, and Why It Looks Like School

Knowledge distillation is a large model teaching a small one, and it works almost exactly like school: soft labels instead of a bare answer key, pairing weeks instead of reports, and a tutor who marks your own attempt rather than a textbook of last year’s solutions. The limits map too, and the last one costs money when you size the hardware.

By Julien Laurenceau, 2 weeks2026-08-06 ago
A lone cyclist ahead in turbulent airflow while a tight bunch of riders follows in smooth sheltered air
AI

The Frontier Model Has No Teacher. That Is Why Leading Costs Ten Times More.

A frontier lab optimizes an absolute target and has to explore. A challenger optimizes a distance to the leader and can exploit. That is the whole cost asymmetry, and it shows up in GPU hours and in a bike race.

By Julien Laurenceau, 2 weeks2026-08-06 ago
AI

Distilling frontier reasoning into a local model: what actually works

A small coding model mocked on r/LocalLLM is actually a clean case of execution-verified distillation. Here is how the method works, when distilling a frontier model into a cheap local one pays off, and the three things the hype leaves out.

By Julien Laurenceau, 2 months2026-06-22 ago
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