Open weights, local models and open source are three different conversations
IronCuk · reddit · 2026-07-21
The post argues that “open” in AI is overloaded and splits it into several distinct freedoms: a public demo, downloadable weights, a checkpoint small enough to run locally, an inspectable agent harness, and a reproducible training process.
It notes that open weights can still matter even when the model is too large for home hardware, because they can enable private hosting, provider choice, adaptation, and checkpoint preservation.
The author ends by asking readers to complete the sentence: “I need this system to be open enough to .”
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