Ethan Mollick@emollick · XAI 摘要
虽然显然，缺乏可验证领域会使模型训练变得困难……但同样真实的是，模型在非可验证领域也变得越来越好。前沿是参差不齐的，但比我仅从可验证性预期的情况要好得多。
While it is obviously true that not having verifiable domains makes training models in those spaces difficult… it is also true that models are also getting much better at non-verifiable domains. The frontier is jagged， but less so than I'd have expected from verifiability alone