I think this is precisely true. The difference is, I usually go days and say thousands of sentences without my words degenerating into nonsense. And usually if

I think this is precisely true. The difference is, I usually go days and say thousands of sentences without my words degenerating into nonsense. And usually if I say some nonsense it's because I'm sleepy or drunk, so if I'm trying hard to be not-nonsensical I can reduce my error level to under 0.1%. GPT-3's nonsense-rate is much higher. So, I think it is promising to simply scale up this model and see how much the error rate can be reduced. Perhaps a focus on simple quantitative improvement from here can lead to a much more human performance.