Stefan Eissing on Nostr: To call an AI ‚Open Source‘, its training data and process would need to be ...

To call an AI ‚Open Source‘, its training data and process would need to be public. Its creation would need to be reproducible. Which seems infeasible.

LLMs are binaries, not Open Source.

https://www.schneier.com/blog/archives/2024/11/ai-industry-is-trying-to-subvert-the-definition-of-open-source-ai.html