Releasing the weights of AI models is a dangerous move, as it removes the main barrier to misuse and could lead to significant risks.

The release of AI model weights can lead to misuse, similar to how fissile material is controlled to prevent nuclear proliferation.

Just because a model is open-sourced doesn't mean it can't be subverted; there have been instances of backdoors in open source software that could also apply to AI models.

Control measures should treat AI models as potential insider threats, implementing restrictions on access to model weights and algorithmic secrets.

DeepSeek's model is open-weight, meaning its model weights are available for public download, allowing users to run the model independently and control their data.

DeepSeek has been publishing research and releasing model weights for months, following a path similar to Meta's LLaMA model, unlike other major AI labs that keep their weights closed.

In a scenario where an AI model might attempt to copy its weights from a data center to run unmonitored, AI control would involve security measures to prevent such actions, including restricting access to model weights and using other models to monitor behavior.

The future of AI relies on open-source models to ensure freedom and prevent centralization of power in AI development.

The high cost of developing AI models poses a centralizing risk, making it essential to establish legislative frameworks that support open-source initiatives.