 | We're working on a crafting / battling game focusing on using semantic similarities called Entropedia: https://entropedia.xyz The players craft cards from simple concepts and during the battles they have to find a cards that is the closest to a given target, like "better when wet". I use Qwen3-Reranker to score the cards as an heuristic for my CPU opponents. It's cheap, fast and deterministic. Happy to share more details if you're interested! [link] [comments] |
Qwen3-Reranker as a game mechanic: combat driven by semantic scores
Reddit r/LocalLLaMA / 4/21/2026
💬 OpinionSignals & Early TrendsTools & Practical Usage
Key Points
- The article describes an in-progress crafting/battling game that uses semantic similarity (“Entropedia”) to drive gameplay.
- Players create cards from simple concepts and, in battles, select cards whose meaning is closest to a target phrase like “better when wet.”
- The author uses Qwen3-Reranker to score how well each card matches the target, acting as a heuristic for CPU-controlled opponents.
- The post emphasizes that Qwen3-Reranker is inexpensive, fast, and deterministic, making it suitable for real-time game logic.
- The author offers to share more implementation details if readers are interested.
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