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AI Industry is Trying to Subvert the Definition of “Open Source AI”

ID: 4d2bc5b5-8c1a-55c7-8ded-bf266952c223

STIX ID: report--4d2bc5b5-8c1a-55c7-8ded-bf266952c223

Feed Name: Schneier on Security

Date Published: 2024-11-08

Date Updated: 2026-04-19

Author: Bruce Schneier

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The post critiques the Open Source Initiative’s new definition of “open source AI,” arguing it permits secrecy in training data and development that contradicts true openness, since training data effectively functions as source code. It supports developing a public AI option and recognizes legal and privacy constraints that may prevent full data sharing, while urging clearer terminology (e.g., “open weights”) to differentiate partially open models from genuinely open-source AI.

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