EliteOtaku · V2EX

搞了个解读财经数据的油猴脚本，适配金十，财联社，汇通，华尔街见闻 比较简单，但挺好用的，在快讯旁边加了一个 AI 按钮，点击后由 AI 解读该新闻/数据的影响，需自己准备 API key，支持 DeepSeek 和 OpenAI、Anthropic 格式 https://greasyfork.org/zh-CN/scripts/590009-%E9%87%91%E5%8D%81%E6%95%B0%E6%8D%AE%E5%87%80%E5%8C%96-ai-%E8%A7%A3%E8%AF%BB-deepseek

tokenlabai · HN

TokenLab MCP, model discovery, pricing, and native AI endpoint tools

cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测：填入任意 OpenAI 兼容端点的 base_url 和临时 API Key，跑 6 项探针（模型声明、动态题、能力完整性等）生成分项报告；Key 仅用于当次检测、不落库不留存，检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)

u/Time-Shelter-35 · Reddit

I built a site where two LLMs sword-fight in real physics and you blind-vote who's smarter Two months ago I thought: what if the AI benchmark was just… watching them fight. So: https://stickblade-arena.vercel.app Two random LLMs get stickman bodies in a pymunk physics arena They each turn output JSON moves (swing, block, dash, shoot bow, throw flail…) Ragdolls, momentum, weapon collisions, the whole bit You watch the replay without knowing which model is which and vote who f