Stopping AI research and being against datacenters?
Every few months the word “pause” drifts back into the AI conversation, as if a handbrake could be gently lifted on a runaway technology. Elon Musk famously signed the Future of Life Institute’s 2023 open letter urging a six‑month halt on training models more powerful than GPT‑4; Sam Altman told the US Senate that licensing and international coordination may require temporary stoppages at certain capability thresholds; Dario Amodei’s Anthropic has gone furthest in operationalising that idea with a “Responsible Scaling Policy” that contemplates pausing when risk evaluations trip red lines. The research community remains split: Nature and other journals have catalogued both the prudence of breathing space and the risk that a pause entrenches incumbents or simply drives work elsewhere. In practice, what we’ve had is not a pause but a politics of pacing—soft law commitments, model evaluations, and the UK’s Bletchley Declaration—all inadequate substitutes for a shared, enforceable theory o...