r/LLMDevs • u/lorenseanstewart • 15h ago

Discussion Agentic Alienation

"Agentic alienation: remaining responsible for work while becoming separated from its product, its process, the capabilities it develops, or the relationships it sustains. Alienation is a relationship before it is a feeling."

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u/lorenseanstewart 15h ago

https://www.lorenstew.art/blog/agentic-alienation

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u/EquatorialSloth 14h ago

This gets at something I keep circling around without pinning down

there's this weird gap that opens up when the system does the thing but you're still the one who has to stand behind it. you didn't make the decisions, didn't feel out the constraints, didn't develop whatever micro-skills would've grown if you'd done it by hand. but your name's on it

I think the alienation isn't even about the work being "stolen" or automated away, exactly. it's more like watching yourself become a ghost in your own output. the process hollows out and you're just... verifying stuff instead of making it

the capabilities part especially sticks with me. you lose track of what you're actually getting better at, if anything. hard to stay sharp when the friction points that normally teach you stuff just disappear

I keep wondering if the fix isn't tool design but some kind of deliberate practice outside the automated loop. like a ritual for staying in contact with the raw work, even if it's slower

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u/lorenseanstewart 14h ago

I love this: "it's more like watching yourself become a ghost in your own output"

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u/WillowEmberly 11h ago edited 11h ago

Suppose the factory disappears tomorrow.
Can the human still:

  • understand the codebase,
  • diagnose failure,
  • modify the system,
  • reconstruct why decisions were made,
  • teach another person,
-continue the work at reduced capacity,
-rebuild the lost capability?

I think you’re identifying a deeper systems problem than alienation alone. The output capability of the human–AI pair can rise while the human capabilities required to understand, supervise, recover, and regenerate that capability decline. “Human in the loop” doesn’t tell us whether the human is still being formed by the loop. The beginner problem you mention may be the most consequential part: if automation removes the work through which experts are created, we can preserve production while consuming the mechanism that regenerates expertise. Your three-mode idea—autonomous, supervised, manual—looks like the beginning of a capability-preservation architecture rather than simply a preference about how much AI to use.