You're ignoring what I said. They work better when turning it into a two step process. Step 1 create a template. Step 2 execute the template. >The large model

You're ignoring what I said. They work better when turning it into a two step process. Step 1 create a template. Step 2 execute the template. >The large models have already ingested plenty of New Yorker, NYT, The Times, FT, The Economist etc articles And that ends up diluting them. Going back and doing another pass on only a subset would give them stronger voice. At some threshold, scanning information brings it to average and a return to the mean, instead of increasing the information. It's a giant table of word associations, it can regress.