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I'll break down the safety tradeoffs between open-source and closed AI. Neither is categorically safer — they create different risk structures, and safety depends on capability level, deployment context, and governance. 1. Why open-source is argued to be safer Transparency and auditability: Open models can be audited, making it easier to identify biases or errors. This contrasts with closed s

Is open-source AI the safer bet — or the riskier one? I'll weigh the evidence on both sides. There is no consensus that one is universally safer - experts describe it as two readings of the same fact. Open weights let anyone audit a model — and also let a copy of that model run anywhere, beyond any regulator's reach. Same fact, two readings. Overall, open source software is neither inherently