為大型語言模型建立政治基準測試。KIMI K2 無法回答關於台灣的問題（顯然）。GPT-5.3 在給予退出選項時拒絕回答 100% 的問題。

I spent the few days building a benchmark that maps where frontier LLMs fall on a 2D political compass (economic left/right + social progressive/conservative) using 98 structured questions across 14 policy areas. I tested GPT-5.3, Claude Opus 4.6, and KIMI K2. The results are interesting. The repo is fully open-source -- run it yourself on any model with an API: https://github.com/dannyyaou/llm-political-eval The headline finding: silence is a political stance Most LLM benchmarks throw away