A Safety-Minded Case for Open Models

The author argues that open-weight AI models are not inherently safer than closed models but instead lag the frontier by several months, while introducing distinct risks such as diffused responsibility and removable safety training. However, the author contends that open models below dangerous capability thresholds remain broadly beneficial by driving economic value, supporting regional sovereignty, and potentially acting as a differential deceleration force against the race toward artificial superintelligence. Open article →