Pianists' results are well known to be proportional to their talent/effort. In open source hardly anyone is even using LLMs and the ones that do have barely any output, In many cases less output than they had before using LLMs.
The blogging output on the other hand ...
> In open source hardly anyone is even using LLMs and the ones that do have barely any output, In many cases less output than they had before using LLMs.
That is not what that paper said, lol.
Which paper? The quoted part is my own observation.
Oh I see, I thought you were quoting https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o... "Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity"
Which shows that LLMs, when given to devs who are inexperienced with LLMs but are very experienced with the code they're working on, don't provide a speedup even though it feels like it.
Which is of course a very constrained scenario. IME the LLM speedup is mostly in greenfield projects using APIs and libraries you're not very experienced with.