“Open Source” Does Not Mean “Do Anything You Want”: How to Read AI Model Licenses

For the ““Open Source” Does Not Mean “Do Anything You Want”: How to Read AI Model Licenses” scene, the decisive point is this: before deploying a model, look not at the phrase “open source” but at the specific rights, restrictions, and responsibility, because different licenses grant very different freedom.

The “What a software license is, in simple terms” scene leads to a working conclusion: a license is not a formality after a download: it answers whether you can change the code, sell a product, keep modifications closed, use the author's name, and who bears the risk if the system causes harm.

The discussion of “Free (GNU, GPL) licence” yields a practical test: the MIT License, under which DeepSeek R1 and V3 are distributed, is short and permissive — it allows use, modification, and commercialization as long as the copyright notice is kept, but the developer promises no quality and disclaims warranty liability.

The “How a GPL license differs from open source” topic becomes clearer once this point is included: “open source” is an umbrella term, while specific licenses like GPL add copyleft obligations, so the label by itself does not tell you your actual rights.

The discussion of “DeepSeek V3 licence” yields a practical test: DeepSeek uses MIT — permissive commercial use with attribution but no warranty — so the risk of quality and defects falls on whoever deploys the model.

In the context of “A breakdown of the Llama 2 license,” this criterion applies: Llama's community license looks open but adds conditions and restrictions for very large services, so a big company cannot assume it has the same rights as a small startup.

The working conclusion from “Limitations of the Llama 2 license” is that two “open-source models” can be legally very different, so before building a product on them you have to read the extra conditions rather than rely on the label.

The “MIT license” issue should be assessed with one constraint in mind: MIT is short and permissive but disclaims warranties, whereas text, images, and knowledge usually use Creative Commons, so the license has to be matched to the type of asset.

The practical meaning of “Adobe v. Forever 21 (2017)” is that pirated commercial software can turn into litigation years later, so before deployment you have to preserve the exact license version and review the dependencies.

The discussion of “SCO Group vs IBM over Unix code in Linux” yields a practical test: a disputed fragment of code can lead to a lawsuit years later, so the model, the code, and the data should be assessed separately; the word “open” is an invitation to read the document, not permission to ignore it.