AI Copium surveys a wave of frontier-model announcements and argues that faster releases, open weights and automated safety research are outpacing the institutions expected to govern them.
AI Copium contrasts proprietary labs with downloadable open-weight systems. Capable open models widen access and experimentation, but they also make central withdrawal, monitoring and policy enforcement much harder.
AI Copium distinguishes software-level recursive improvement from autonomous model training. Agents can refine prompts, tools and scaffolding around a fixed model, but that is different from retraining the model's weights, which matters when evaluating claims of rapid self-improvement.
AI Copium presents automated safety research and international standards as necessary counterweights while warning that technical capabilities are moving faster than enforceable coordination.
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