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Is open-source AI more risky or more secure? I'll gather the latest evidence comparing both models. Neither is inherently safer — open-source AI is safer in some ways and riskier in others, and which matters more depends on capability level, deployment, and who controls safeguards. 1. What "open" vs "closed" means Open-weight / open-source models: weights — the values a model learns during

Is open-source AI the safer bet or the bigger risk? I'll weigh the evidence on both sides. There is no consensus that open-source AI is categorically safer or riskier than closed / proprietary AI - both create different risk profiles, and expert assessment increasingly frames it as a tradeoff, not a binary. 1. Why open-source is argued to be safer Transparency and distributed scrutiny vs "secu