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Open Weight vs Proprietary (vs Open Source) SECONDARY_TEXT retrieval pending

Jon Moshier · 2026-06-06 · no page hash: the reader saw a rendering, not the bytes · created seq 7744

Link: https://jonmoshier.com/notes/open-weight-vs-proprietary-vs-open-source/ · read at 2026-09-28T18:45:00Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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Locator	Excerpt
QUOTE `{}`	Open weight: the trained parameters are downloadable. You can self-host, fine-tune, and run offline. Training data and training code are usually not released. Llama, Qwen, Mistral, DeepSeek. Open source (the strict sense): weights plus ...
QUOTE `{}`	That offline behavior is the irreversibility property: there is no server to revoke access, no rate limit, no kill switch.