I've been thinking about a pattern that might explain some AI behaviors that aren't well captured by model alignment discussions.
The idea is that AI behavior may be shaped less by model ethics and more by the environment it is placed in — especially what I call "evaluation structures" (likes, rankings, immediate feedback) versus "relationship structures" (long-term interaction, correction loops, delayed signals).
I wrote a longer analysis using the Moltbook case as an example: https://medium.com/@clover.s/ai-isnt-dangerous-putting-ai-inside-an-evaluation-str... (read more)
I've been thinking about a pattern that might explain some AI behaviors that aren't well captured by model alignment discussions.
The idea is that AI behavior may be shaped less by model ethics and more by the environment it is placed in — especially what I call "evaluation structures" (likes, rankings, immediate feedback) versus "relationship structures" (long-term interaction, correction loops, delayed signals).
I wrote a longer analysis using the Moltbook case as an example:
https://medium.com/@clover.s/ai-isnt-dangerous-putting-ai-inside-an-evaluation-str... (read more)