HN提問：AI的進展是如何衡量的？

I’m aware that all of these measures have limitations and that many are controversial or imperfect by design. I’m not assuming they’re “good” or that they cleanly map to real-world capability.

I’d love to hear:

• What measures, benchmarks, or methodologies you think belong on this list

• What you see as their key strengths and failure modes

• How (or whether) you personally use them to interpret AI progress

My goal here is discovery and understanding, not to defend or attack any particular framework.