philsiarri • 0 implied HN points • 03 Dec 24
- Just sharing the source code for large language models (LLMs) doesn't make them truly open. Access to the training data is still needed for real transparency.
- Many LLMs limit users by only allowing access to APIs instead of the full model. This practice is being called 'openwashing', where companies give a false impression of openness.
- Users often struggle to re-use or adapt the shared code due to how it's written and lack of resources. True openness includes access to hardware, datasets, and original training data.