Thank you for the Berry post. Has anyone tried to test his hypothesis? My gut feeling is it will check out, particularly for AI chats. Input measure is easy–you have time and text quantity. But output value is more difficult...I'm wondering if there is a good case where this could be observed.
I'm doing a PhD in sociology of work (I have a background in software development) and want to do such a study on software development with AI, but as you say it's quite hard to find a good setting, because it's hard to operationalise quality.
What if you looked at scheduling? Like, an assistant or agent scheduling a calendar something?
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.
The usage of Neijuan as I understand it isn't about a complete lack of results, Chinese test scores are really good, but there's only 10% in the top 10% so competing even harder just means everyone is miserable competing for the same number of spots. Same for production if it's driving prices down, you did produce more, but so did everyone else and the end result is a race to the bottom.
In western thought, this is mostly related to the concept of involution.
The most famous study is on Javanese farming:
I had thought that 'involution' was just a literal translation of the Chinese term, since I've never heard of the English word in this sense. To me it would just mean "turning inside out".
But things appear to be the other way around; that paper was apparently titled Agricultural involution in 1963.
It's very striking that the blog post mentions the paper, names the phenomenon "involution", and then comments that it's similar to "what Chinese social theory calls 内卷", while completely ignoring the fact that 内卷 is transparently a calque of "involution".
Interestingly, an almost identical proverb exists in Polish ("him" is replaced with "swine" canonically, but it's often replaced by a person's name). It's used to suggest that someone is either too dumb or too self-assured to accept criticism. Is the intended meaning similar in Greek?
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.
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Has it been measured? Or is this more of a qualitative critique?
In western thought, this is mostly related to the concept of involution.
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.
Tbh, most people in the West would know that concept as the red queen's race from Alice in Wonderland.
Thank you for the Berry post. Has anyone tried to test his hypothesis? My gut feeling is it will check out, particularly for AI chats. Input measure is easy–you have time and text quantity. But output value is more difficult...I'm wondering if there is a good case where this could be observed.
I'm doing a PhD in sociology of work (I have a background in software development) and want to do such a study on software development with AI, but as you say it's quite hard to find a good setting, because it's hard to operationalise quality.
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!
What if you looked at scheduling? Like, an assistant or agent scheduling a calendar something?
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.
The usage of Neijuan as I understand it isn't about a complete lack of results, Chinese test scores are really good, but there's only 10% in the top 10% so competing even harder just means everyone is miserable competing for the same number of spots. Same for production if it's driving prices down, you did produce more, but so did everyone else and the end result is a race to the bottom.
I had thought that 'involution' was just a literal translation of the Chinese term, since I've never heard of the English word in this sense. To me it would just mean "turning inside out".
But things appear to be the other way around; that paper was apparently titled Agricultural involution in 1963.
It's very striking that the blog post mentions the paper, names the phenomenon "involution", and then comments that it's similar to "what Chinese social theory calls 内卷", while completely ignoring the fact that 内卷 is transparently a calque of "involution".
内 "inside", 卷 "roll".
In China, one could look at hours of homework, work hours etc and conclude there's a reason the term was coined.
It isn't pointing at particular system to blame.
But if you feel like it's raining, it probably is.
There's a Greek proverb disputing the latter: they are spitting on him and he thinks it's raining.
Interestingly, an almost identical proverb exists in Polish ("him" is replaced with "swine" canonically, but it's often replaced by a person's name). It's used to suggest that someone is either too dumb or too self-assured to accept criticism. Is the intended meaning similar in Greek?
Yup, it's exactly the same.
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.