Tzu-Sheng Kuo 郭子生 @tskuo.bsky.social · 17/02/20264/ Recently, LLMs have lowered the technical barriers to designing AI agents, allowing communities to shape the behavior of LLM-powered bots using natural language, without relying on external developers. However, several challenges exist: 100
Tzu-Sheng Kuo 郭子生 @tskuo.bsky.social · 17/02/20265/ First, non-AI experts often focus narrowly on editing LLM prompts for a single interaction scenario, failing to account for unintended bot behavior in other relevant scenarios. 100
Tzu-Sheng Kuo 郭子生 @tskuo.bsky.social · 17/02/20266/ Second, without a coordinated process, differing opinions among community members on how bots should behave can lead to difficulties in achieving consensus and effective collaboration. 100
