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I just did a livestream focused on writing good prompts. I was planning to give Claude generic prompts like, “Make a bar chart on this data.” I hoped it would, by default, write some base R code, and then I could give specific instructions such as, “Use the tidyverse,” to have it write ggplot code.

But my experience was the total opposite. It used ggplot by default. This made me wonder if the models are now so good that you need to focus less on writing good prompts (and yes, I do think that using ggplot for plotting is better than using base R). What do you all think? #rstats

i wonder if it is was using your global memories for this

Clearing global memory and CLAUDE.md only proves the tidyverse prior lives in the weights. If you want base R for a session, ban ggplot/purrr in the system prompt. Otherwise generic still means whatever dominated the training set.