AI BENCHMARKS: CLIMBING THE WRONG HILLS

Summary from the TLDR AI newsletter

AI benchmarks are now shaping how models are evaluated in training and the capabilities they are designed to have. Poorly constructed benchmarks could push the industry in the wrong direction. Creating benchmarks impervious to benchmaxxing requires expertise in measuring what we actually want from AI systems. As benchmaxxing continues, researchers must decide which hills they want to climb and whether today's benchmarks actually reward progress in that direction.