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When an AI developer releases model weights publicly, the parameters that define the system's behavior transfer to anyone who downloads them, beyond the reach of any update or shutdown the original developer might later impose.
That property is the mechanism behind one of Washington's live AI policy debates, and it sits on the agenda as Sam Altman plans to meet with the Trump administration and members of the Senate this week to preview his company's upcoming family of AI models and answer questions on cybersecurity and open-weight models.
The architecture behind the policy dispute Model weights are the numerical values learned during training that encode a system's behavior.
Release them publicly and any developer can run the model locally, strip out safety filters, or fine-tune on data the original developer would have declined.
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