Verified65% confidenceFactExact time
There is a distinction between open weights and fully open source; according to the Open Source Initiative (OSI) definition, true open source must include complete reproducible information such as training datasets, preprocessing scripts, hyperparameter configurations, and training logs
3
Sources
65%
Confidence
Long-term
Relevance
8/7/2026
First Seen
Sources
Related Claims
Verified开放权重模型指参数权重文件向公众开放下载,可本地部署微调,但训练数据和完整源码不一定公开,区别于完全开源78% similarUnverifiedThe "open source" in OSINT does not refer to open-source software, but rather to "open sources" in the intelligence sense—meaning all legally and publicly accessible information channels.78% similarUnverifiedIn the open-source AI definition draft released by the Open Source Initiative (OSI) in 2024, it was stated that models that only make weight files public without disclosing training data and code should not be recognized as truly open-source software.77% similarUnverified完全开源要求公开训练数据集、训练代码、评估框架及全部技术文档,理论上任何人都可以从零复现整个模型75% similarVerified开源权重模型是指公开发布训练完成后的模型参数文件,允许任何人下载、本地部署和二次修改73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/700616API
curl https://kongchang.com/api/v1/knowledge/claims/700616MCP
get_claim(id=700616)