The Digital Press

The article discusses a voting system for comparing AI-generated designs, highlighting user feedback on its effectiveness and potential improvements.

Why it matters: Comparing AI design outputs helps identify which models perform better and informs future improvements.

The other side: Users note flaws in the voting system, such as lack of a "neither" option and bias toward faster-responding smaller models.

Quick takeaway: Incorporating human designs and visual feedback-based reward signals could enhance model training and practical app design.

Commenters say: Many find the idea promising but want better voting mechanisms and inclusion of human-created designs for fairer comparisons.