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

4 points | by clover-s 14 hours ago

3 comments

  • clover-s 14 hours ago
    Author here. Would love feedback from people working on AI safety, alignment, or system design.
  • aristofun 14 hours ago
    Boooring :)
    [-]
    • clover-s 13 hours ago
      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.

    • wellf 5 hours ago
      https://news.ycombinator.com/newsguidelines.html
    • kubanczyk 7 hours ago
      Interesting, even if tad too wordy. Shows a few details new to me.
  • devchen42 1 hour ago
    [dead]