Developer criticizes flawed methodology in free AI model and server testing

A developer writing for MonkeyCode argues that testing both a free AI model and a free server simultaneously produces unreliable results. They claim this common practice creates a blended outcome, making it impossible to isolate the performance of either component. The article advocates for a rigorous 'blocking' methodology where only one variable is changed at a time to ensure valid comparisons. The author concludes that without this controlled approach, performance claims about free AI infrastructure are merely anecdotal.