aiweekly

'Code to Control' writes Python RL policies, skips LLM at runtime

Want only the AI that hits your stack? Build an agent that tracks your companies and topics, and skips everything else. The paper's offer is odd: use a language model to write a Python controller once ...
GitHub

Flappy Bird Reinforcement Learning Agent

The reinforcement learning feedback loop handles continuous state observation, action execution, and reward optimization ...
GitHub

WP/Connect arcade stations — run-sheet

Two stations for the WP/Connect × DigiCon 2026 gaming block: FLIP MATCH (flip-match/) and WP FLAPPY CHALLENGE (wp-bird/ - the folder, URL and game id keep the old wp-bird name on purpose). Both are ...
blog.csdn

DeepSeek V3 实测：网页、散文、图片、游戏场景提示词与 API 接入 TaoToken 配置

1. DeepSeek V3 四类场景实测：网页、散文、图片、Flappy Bird 提示词与 API 接入 TaoToken 配置 DeepSeek V3 是深度求索推出的通用大语言模型，0324 版本在代码生成、中文写作、结构化输出上都有明显提升。它最实用的地方在于：同一个模型既能写前端 HTML 页面，又能写散文，还能生成 SVG 图片描述，甚至直接 ...
blog.csdn

DeepSeek V4 Pro 与 Grok 4.6 性能对标与产业影响：顶尖 AI 能力的平价化变革-CSDN博客

举个具体例子。 同样生成一个 Flappy Bird 小游戏，DeepSeek V4 Pro 输出更完整，山脉、云层、渐变水管、穿管时的 “+1” 浮动动画都做出来了，Token 消耗约 22848；Grok 4.6 核心玩法没问题，但场景细节少一些，Token 消耗约 5211。