我让 GPT-6 Astra(xhigh)和 SWE-2(max)用同一份 prompt,各做了一版第一人称 3D 贪吃蛇。



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我让 GPT-6 Astra(xhigh)和 SWE-2(max)用同一份 prompt,各做了一版第一人称 3D 贪吃蛇。 在赛博朋克风格的日本城市里穿行,吃能量、长身体,还得小心别撞楼或者咬到自己。场景和音效都用代码生成,具体怎么设计、怎么玩,让模型自己决定。两版做出来的画风差别还挺明显,可以直接打开玩玩看 试玩:https://variora.fog.moe/zh/projects/neon-serpent/ 我把这些对比整理进了开源项目 Variora,用同一份需求看不同模型会做出什么,保留 prompt、源码、截图和运行记录。目前还有猫咪拉面店、鹈鹕骑自行车等题目。 欢迎拿其他模型跑一遍提 PR,也欢迎贡献新题目,慢慢把这个对比集补起来 GitHub:https://github.com/scarletkc/variora 图 1、2 是 Astra 和 SWE-2 的开始界面,图 3、4 是对应的游戏画面。
Posted by KC (5.4k followers) 1 h ago · 5 likes · 476 views · view the original post on X. Kept by the AI Radar as AI coding agents. Tools mentioned: Variora, variora.
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