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Open model licenses: what "open" actually means

The word "open" gets used very loosely in the AI world. The licenses behind the models, however, differ significantly — and reading them before adoption is not optional.

LicensesOpen models

In AI marketing, "open" has become an almost empty word: it gets applied to models with very different licenses, some permissive, others with precise commercial restrictions. Before building a product or service on an "open" model, it's worth reading what that actually means in that specific case.

Open-weight is not open-source

Most models called "open" release the trained weights, not the training code or the data used to train them. The technically correct term is open-weight: you can run the model, partially inspect it, and adapt it, but you cannot reproduce its training from scratch. It's a distinction that matters most when you need to demonstrate, in an audit, exactly how a system was built.

The main licenses and what they permit

Why it matters for a business, not just for a lawyer

The risk isn't theoretical: a license that prohibits or limits commercial use, if ignored, exposes the company to a contractual breach that may only be discovered years later, once the system is already part of core processes. You should also check redistribution rights (can you embed the model in a product you sell?) and rights over a fine-tuned model (who owns the weights resulting from your own fine-tuning?).

The checklist we apply before adopting a model

None of these checks slow a project down if done at the start. They do slow it down — and cost far more — if skipped and discovered later.

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