The Download: metric weaknesses and AI elephant warnings

Researchers are increasingly cautioning that relying on narrow performance metrics to evaluate artificial intelligence can obscure broader system failures or create incentives for developers to prioritize specific benchmarks over safety. This critique highlights the potential for flawed data collection to misrepresent the actual capabilities and risks associated with new machine learning models.