liujunlong @bashanyeyu1989
Joined April 2015-
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You might wonder why. Let me give you a simple example with the same prompt—a mid-complex architecture design: Codex (GPT-5 High): After a few minutes, it gives detailed reasoning and explanations. It even changed my decision. Claude Code (Sonnet 4): It responds in seconds…
You might wonder why. Let me give you a simple example with the same prompt—a mid-complex architecture design: Codex (GPT-5 High): After a few minutes, it gives detailed reasoning and explanations. It even changed my decision. Claude Code (Sonnet 4): It responds in seconds… https://t.co/gMc9CmFi7S
AI 圈追新太快了，心累😂 请问最新最酷的 nanobanana 🍌 提示词是啥？
Vibe coding tip: After successfully completing your goal, ask: “Please clean up the code you worked on, remove any bloat you added, and document it very clearly.”
推荐阅读：《"问天天语了"李继刚解密AI时代的三个核心问题》 这几天 @lijigang_com 李老师帮我优化了一下推荐文章的提示词，效果确实好多了。…
Claude Code pro tip: Add this function to .zshrc or .bashrc and you can use it with the latest Kimi K2 model by using: kimi kimi -c kimi -p kimi --dangerously-skip-permissions etc… Check image description for the function
Claude Code pro tip: Add this function to .zshrc or .bashrc and you can use it with the latest Kimi K2 model by using: kimi kimi -c kimi -p kimi --dangerously-skip-permissions etc… Check image description for the function https://t.co/m90UEol1HJ
grep也是CC喜欢用的工具。。cline也是差不多的思路。。 全部一股脑的向量化然后塞进RAG，再检索，效果并不一定好。。
连 LlamaIndex 都认为 grep 加轻量级语义搜索，就够了 当你面对一个“中等规模”的数据集，比如说 1000 篇 ArXiv 上的 PDF 论文时，我们发现有一个效果出奇好的问答（Q&A）基准方案：给 AI 智能体 (AI Agent) 提供一个命令行界面 (CLI)，再配上一些能用静态嵌入 (static embeddings) 进行快速语义搜索…
连 LlamaIndex 都认为 grep 加轻量级语义搜索，就够了 当你面对一个“中等规模”的数据集，比如说 1000 篇 ArXiv 上的 PDF 论文时，我们发现有一个效果出奇好的问答（Q&A）基准方案：给 AI 智能体 (AI Agent) 提供一个命令行界面 (CLI)，再配上一些能用静态嵌入 (static embeddings) 进行快速语义搜索…
代码是负债 作者：Tornike Onoprishvili 2025年8月28日 > “Tornike，你怎么看待 AI 编程工具？” 对于这个常被问到的问题，我喜欢用一个例子来回答。一个关于两家公司的例子，故事大概是这样的： 想象两家非常相似的公司。它们的收入差不多，做的软件产品也类似。唯一的区别是，A 公司用了 100…
Continuing the journey of optimal LLM-assisted coding experience. In particular, I find that instead of narrowing in on a perfect one thing my usage is increasingly diversifying across a few workflows that I "stitch up" the pros/cons of: Personally the bread & butter (~75%?) of…
有没有token，token的多少，直接影响了LLM的输出。。 比如cursor之类的IDE产品，为了赚差价，搞了一些cache，缓存，压缩上下文之类的技巧，最终也是如鸡肋一般，不是长久之计啊。。。 我反正已经转CC这种cli了。。。token的单价，会越来越便宜，最终就跟自来水一样。。。
@hylarucoder 代码收束这个观察角度很棒，感觉不同AI的风格差异会越来越明显，有的工具是探索型的，有的是收敛型的，用在不同阶段可能效果也不同
最近一直在使用 GPT-5 和 Codex CLI 对之前 Claude Code 写的代码做优化，有几点小经验分享一下 1. GPT-5 + Codex CLI 代码收束做得很不错，有一定架构师的眼光。 CC 为了确保代码的正确性，可能会不断添加变量和模块，会引入不必要的复杂性，带着点代码腐化的味道。但 codex 相对而言会更精准一些。…
为什么RAG无法取代传统的数据检索 RAG通过向量化然后保存到vectordb后，数据已经存在失真的问题。当你从RAG去做向量化检索，又会引起不同程度的失真 在高准确度的场景，RAG会对于AI幻觉的缓解是很有限的。 RAG就好像我们记住了某些东西，但是当我们真的要干活，还是要查看具体的书籍或者数据库。
开源项目 claude-code-router github.com/musistudio/cla… 根据你的需要自由切换claude code使用的模型 你想用deepseek、gemini、kimi k2、qwen coder模型都可以， 也可以使用openrouter、siliconflow上的模型，改下配置就行
deepseek 对接claude code，不用router了，直接干。。 export ANTHROPIC_BASE_URL=api.deepseek.com/anthropic export ANTHROPIC_AUTH_TOKEN=sk- export ANTHROPIC_MODEL=deepseek-chat export ANTHROPIC_SMALL_FAST_MODEL=deepseek-chat
人工智能研究者如何意外发现：我们对“学习”的理解，可能全是错的 作者：Jamie Lord 原文：How AI researchers accidentally discovered that everything they thought about learning was wrong “彩票假说”解释了，为何海量参数的神经网络能够成功，尽管几个世纪的理论都预言它们会失败。…
人工智能研究者如何意外发现：我们对“学习”的理解，可能全是错的 作者：Jamie Lord 原文：How AI researchers accidentally discovered that everything they thought about learning was wrong “彩票假说”解释了，为何海量参数的神经网络能够成功，尽管几个世纪的理论都预言它们会失败。… https://t.co/atPmlPOZGo
在 ChatGPT 刚出来还没有 API 的时候，我以为聊天会话是有状态的有记忆的，后来 API 出来才发现完全是无状态的，每次都要把历史记录叠加发过去，很反直觉。 包括现在 Claude Code 这样的 Agent，也需要依赖每次发送历史记录来维护状态，如果推理层有状态，是能减少很多 token 传输的。
在 ChatGPT 刚出来还没有 API 的时候，我以为聊天会话是有状态的有记忆的，后来 API 出来才发现完全是无状态的，每次都要把历史记录叠加发过去，很反直觉。 包括现在 Claude Code 这样的 Agent，也需要依赖每次发送历史记录来维护状态，如果推理层有状态，是能减少很多 token 传输的。
2025 AI Agents 发展方向： 📌 自主检索增强生成 (Agentic RAG) 基于推理的，用于实时数据检索和生成的AI智能体工作流。 Agentic RAG的应用不局限于单一场景，同样也被应用于医疗保健领域。 举例：Perplexity, Harvey AI 和 Glean AI 📌 语音智能体 (Voice Agents)…
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