Unverified50% confidenceOpinionExact time
Open-source licenses guarantee the availability of code and weights, but the composition of training data, details of the training process and the model's internal decision logic remain a black box to external users.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedOpen-weight models refer to models that, after training, publicly release the neural network parameter weights under an open license, allowing them to be downloaded and run on one's own hardware and fine-tuned with proprietary data without paying inference fees.77% similarUnverifiedA strictly open-source model must meet conditions such as reproducible training and a license permitting commercial use and redistribution.76% similarUnverifiedThe open-source approach emphasizes the public sharing of model weights, code, and training methods, lowering the barriers to technology access.75% similarVerifiedMost so-called 'open-source models' currently actually only open their weights, while training details remain trade secrets.74% similarVerifiedOpen-sourcing the weights means others can directly load and use them or fine-tune them, but it does not include the training data, training methods, or distributed training framework.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1132470API
curl https://kongchang.com/api/v1/knowledge/claims/1132470MCP
get_claim(id=1132470)