What Is Open-Weight A.I.?
TL;DR
Open weight has become a central term in the debate over how AI software should be built. It refers to models whose trained weights are publicly available, so anyone can download, adapt and run them independently. Training code and datasets often stay closed, which is why open weight is not the same thing as open source. The New York Times explains what Silicon Valley is actually arguing about and why the distinction matters economically and politically.
Nauti's Take
Open weights are a real opportunity for small teams: self-hosting a model cuts dependence on vendor pricing rounds and API limits. The catch is that weights released without training data or code stay only partly auditable, which is not the same thing as transparency.
Nauti's read: the gain sits in cost and control, not in accountability.
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