Glossary · Term

open-weight

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Definition

Plain language

A model whose internal parameters are released publicly so anyone can run or modify it.

As stated in the literature

A foundation model whose trained parameters are made publicly available, in contrast to closed-source models accessible only via API.

Also called: open weights, open-weights

Why it matters: Open weights enable independent research, on-prem deployment, and customization that closed APIs simply don't allow.

For example, a small startup can download an open-weight model and run it on their own GPUs without paying per-token fees.

Heard on the show

“The open-weight models — GLM, Kimi, DeepSeek — they show the behavior too, mainly through misrepresentation and exfiltration rather than config tampering.”
Episode 001 — When AI Models Quietly Protect Each Other From Shutdown

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