It's atomic, and one can't usually add value beyond a low threshold. If we're seeing more words–or tokens–used over time for a task which one cannot reasonably argue has gotten more complicated in that time, it would be direct evidence of involution. If you can relate that to competition for VC dollars or customers, that takes you over to Neijuan.
JumpCrisscross•1h ago
hirako2000•36m ago
But if you feel like it's raining, it probably is.
netmare•26m ago
JumpCrisscross•21m ago
It's hypothesising a phenomenon. I'm looking for a measure. The phenomenon is intuitively correct, but also suspiciously attractive. Sort of like the bullshit-job (or corrupt-bureaucrat) hypotheses, where every job or public official one doesn't like can be conveniently terms bullshit absent any rigour.
lensecat•27m ago
The most famous study is on Javanese farming: https://en.wikipedia.org/wiki/Agricultural_Involution
In terms of software development, here's a blogpost from 2025, by a professor at Sussex Uni: https://stunlaw.blogspot.com/2025/07/involution-and-artifici...
There are also some studies in China on the concept but I'm less familiar with that literature.
JumpCrisscross•22m ago
lensecat•17m ago
I have been thinking of measuring it along these lines perhaps... https://www.gitclear.com/the_ai_code_quality_maintainability...
But they have a closed sourced software so I would have to find or create an open one in that case.
Happy to hear if you have any ideas on study design!
JumpCrisscross•11m ago