Partially agree, but it's a continuous value rather than a boolean. We've seen LLM performance largely follow this story: https://twitter.com/karpathy/status/1655994367033884672/phot...

From benchmarking, we've been positively surprised by how effective few-shot learning and PEFT are, at closing the domain gap.

"When it encounters novel data (value) it will likely perform poorly" -- is that not true of human annotators too? :)