Model sprawl is compressing evaluation cycles

Twelve new AI models launched in a single week, forcing teams to shorten model-selection cycles from quarterly to monthly — that’s increasing pressure on platforms to expose model choice, fallback logic, and cost/accuracy benchmarks. (arturmarkus.com)