Eliezer Yudkowsky calls for an enforceable global halt to large AI training runs
Eliezer Yudkowsky argued that a six-month pause would not address loss-of-control risk from smarter-than-human AI. He proposed an indefinite worldwide moratorium on large training runs, lower compute ceilings as algorithms improve, GPU tracking, multinational enforcement, and no government or military exemptions.
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Why it moved the index
The essay adds a concrete international compute-control mechanism and a specific argument that frontier scaling without solved alignment creates catastrophic loss-of-control risk; magnitude 44 reflects the breadth of the proposed response, while confidence 48 reflects attributable reasoning rather than an observed outcome or independently validated forecast.
Assessment history
- R1Toward 44 · confidence 48
Initial historical inclusion of Yudkowsky's dated first-person loss-of-control argument and concrete global compute-governance proposal.
12 Aug 2026