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AI Isn't Dangerous. Evaluation Structures Are.
I wrote a long analysis about why AI behavior may depend less on model ethics and more on the environment it is placed in — especially evaluation structures (likes, rankings, immediate feedback) versus relationship structures (long-term interaction, delayed signals, correction loops).
The article uses the Moltbook case as a structural example and discusses environment alignment, privilege separation, and system design implications for AI safety.
Full article: https://medium.com/@clover.s/ai-isnt-dangerous-putting-ai-inside-an-evaluation-structure-is-644ccd4fb2f3
Author here. Would love feedback from people working on AI safety, alignment, or system design.
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Boooring :)
Fair :)
The point isn't the story itself, but the design pattern it reveals: how evaluation structures can shape AI behavior in ways model alignment alone can't address.
Curious if you think the distinction between evaluation vs relationship structures is off the mark.
https://news.ycombinator.com/newsguidelines.html
Interesting, even if tad too wordy. Shows a few details new to me.