Source: LessWrong
As AI capabilities advance faster than quarterly prediction cycles, the infrastructure for monitoring progress is becoming obsolete. AI Futures' own timeline models are already lagging behind the systems they're meant to forecast. The piece identifies a concrete problem: prediction frameworks designed around 3-month intervals are structurally mismatched to a development cycle that now moves in weeks, creating a credibility gap where expert forecasts feel stale before publication. If we can't maintain real-time visibility into AI progress, the ability to detect inflection points or coordinate safety responses becomes compromised.