Topic: state of ai/leading models
Context: Core holds: the published weights are for a 2.8-trillion-parameter model, larger than any prior open-weight release, corroborated by Tom's Hardware and, pre-release, by ANU's Rahul Shome in Nature. Caveats that don't falsify it: '3T-class' rounds up 2.8T, and only 104B parameters activate per token. Capability is independently corroborated — Artificial Analysis scores K3 at 60 — but Moonshot's own benchmark table, run under its Kimi Code harness, is not.