Hi, I work on the instruct models. Are you able to share details about the particular task you're doing and the prompts you've tried? (email: <my HN username>@openai.com )
In general, the code philosophy behind ggplot2 and related tools (the so-called "tidyverse" in R) embraces functional programming, in particular doing computation by pure composition of smaller computations.
Using the "+" operator to denote composing parts of visualizations is not the greatest syntax but I think we're basically stuck with it for a bit due to historical baggage. See this note from the creator of ggplot, Hadley Wickham: https://community.rstudio.com/t/why-cant-ggplot2-use/4372/7
I think the abstract does effectively say that: "these patterns are most consistent with the supply‐based hypothesis of unbacked digital money inflating cryptocurrency prices." And this point is made more forcefully in the paper.
FWIW, I don't have a strong opinion on the evidence presented in the paper -- the analyses seem sensible, but this isn't my field of expertise, so I'd be hard pressed to point out, for example, what alternative analyses they could / should have done.
Also, it's not even obvious to me that unbacked Tether causing the BTC price rallies is necessarily a reason to pull out; markets are weird.