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One of the benefits of being an indie hacker is that it forces you to learn skills that you’d never learn being employed.
I build stuff. On my way to making $1M 💰 My projects 👇
去看铁血战士，女主竟是死亡搁浅2里的 Tomorrow，艾丽·范宁，以前还真没注意过这个演员。不过这部剧里仿生人表现出的战力要比铁血战士高啊。人类战力>铁血战士（好几部都被人类反杀），铁血战士>异形，异形>人类……
一个自由的程序员，以卖 App 为生。边全球旅居边创作产品。作品：熊猫吃短信、DAMA、ServerCat、OpenCat，Miley。
RT @arvidkahl: Imagine doing a serious archeological dig and you end up finding a 2,400-year old „YOLO“ motivational poster.
Building https://t.co/od97B0HVrk and https://t.co/666FnyVVE0 in Public. Raising all the boats with kindness. 🎙️ https://t.co/6w69DZmi8H · ✍️ https://t.co/lpnor5rsTW
如何高效掌握 LLM 构建等技术书籍 —— 来自「Build a Large Language Model From Scratch」作者 @rasbt 的实用建议！ 核心步骤：五步走，层层递进 Raschka 将过程分解为五个阶段，强调“质量胜于数量”——宁愿慢下来，也要真正内化知识。 1. 首次阅读：专注浸润，避免干扰 建议在离线环境下阅读章节（如纸质书或无网设备），营造“专注时段”。可以高亮或标注困惑/有趣点，但暂不查阅资料或运行代码。这步像“被动吸收”，目的是建立整体框架，而非纠结细节。Raschka 指出，互联网时代让人分心过多，离线阅读能显著提升效率。 2. 第二次阅读：动手实践代码 手动输入章节代码，并运行它。这虽费时，但能加深对代码逻辑的思考。如果结果与书中不符，先查 GitHub 仓库；若仍差异，排查环境因素（如包版本、随机种子、CPU/GPU）。必要时，可通过论坛、Issue 或邮件咨询作者。这步桥接理论与实践，帮助发现潜在问题。 3. 练习巩固：检验独立能力 完成章节练习题。这是“检验时刻”——它验证你是否真正理解，能否独立应用概念，而非仅停留在表面。 4. 回顾与扩展：整理与深化 梳理高亮和注释，提取关键 takeaways（如项目相关点），并存入笔记工具（如 Obsidian）。同时，针对未解疑问，进行在线搜索或追读参考文献。这步像“知识整理”，从碎片化笔记转为系统化资源。 5. 应用输出：项目落地 最后，将所学融入实际项目中——不限于核心概念，甚至小技巧（如 PyTorch 中显式设置 MPS 种子）也能带来价值。这强调学习不是终点，而是服务于创造的手段。
邵猛，中年失业程序员 😂 专注 - Context Engineering, AI Agents. 分享 - AI papers, apps and OSS. ex Microsoft MVP 合作 - 私信/邮箱：shaomeng@outlook.com 📢 公众号/小红书: AI 启蒙小伙伴
eventually consumers seem to get the general concept of this after it is hammered in hard in a given area but even myself, being as analytical and technical as i am, often underestimate the absurd amount of selective pressure which goes into the most formidable algorithms
context: was thinking about how in many well-funded gaming+gambling apps, the best AIs/opponents are not simply optimized to win/lose, but to have a fully-optimal trajectory of making you think youre going to lose, then think youre going to win.. then ensure you just barely lose
RT @aigclink: Gemini Live大更新，谷歌刚刚给Gemini Live加了“人声特效包”，像真人一样表达带节奏、带口音，交互更自然 新版模型能实时识别并控制语速、韵律与口音 可以用它陪练外语、模拟面试、讲带感故事 #GeminiLive #AI语音 h…
Prompt Engineer, dedicated to learning and disseminating knowledge about AI, software engineering, and engineering management.