What's the difference between closed, open‑source and open-weight AI? A researcher explains
Summary
The article explains the differences between closed, open-source, and open-weight artificial intelligence (AI) models. It clarifies that these terms describe whether the details about how an AI works are shared publicly and if people can change the model, rather than describing any personality of the AI.Key Facts
- "Closed" AI models keep their inner workings secret and are private property.
- "Open-source" AI models share their source code, allowing anyone to see, modify, and share the software.
- The idea of open-source software started in the 1980s and 1990s as part of the free software movement.
- The movement promotes four freedoms: to run, study, modify, and distribute the program and its versions.
- Large language models like ChatGPT might seem to have personalities, but they do not.
- Open-weight AI models also share model details but focus especially on sharing the weights, which are key parameters in machine learning models.
- Sharing AI models openly can help researchers and developers improve and innovate together.
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