树酱 tree 🌲

主业程序员 🙊 、副业运营汪 🐶 ｜ Web3 爱好者
shujiang.eth

[树酱 tree 🌲 @tree662881]

@chnzhozho213294 举手🙋

[Tw93 @HiTw93]

程序员的提示工程实战手册，宝玉兄 6 月份的一篇翻译的文章，一份适合新人的快速入门备忘录。
https://t.co/bi6xg8ZtKh

[Richard @qloog]

#一图读懂 Agent、RAG、Function Call 与 MCP之间的关系和区别

[akazwz @akazwz_]

在浏览器流式播放TTS，不用等待响应完成，对于长文本的流式TTS非常有用。

[Rey判断位｜英语自由 @ReynoldDai]

两步生成吉卜力风格的播客
1. 用ChatGPT生成吉卜力图片；
2. 用Hedra生成视频: 上传图片，拖入文案，点“生成”

[海拉鲁编程客 @hylarucoder]

下午密集使用了 gpt-4o 言出法随, 会在这个帖子下分享自用生图技巧

贡献点湿货看看能不能冲一下 10k 粉丝.

预测长贴, 不定期更新

[关木 @ZeroZ_JQ]

参加了一场线下 DeepSeek 大模型培训，劝大家不用花大几千参加，完全可以使用 x 上的内容进行平替学习。

1. 基础入门：北大清华 PPT
2. 提示词学习：@op7418 @lijigang @vista8
3. 聊天工具：@ChatboxAI_HQ @CherryStudioAPP @AnythingLLM
4. 代码框架：@langchain @llama_index
(1/n)

[OpenAI @OpenAI]

4o image generation has arrived.

It's beginning to roll out today in ChatGPT and Sora to all Plus, Pro, Team, and Free users.

[Jackywine @Jackywine]

最近在读李笑米老师的新书
《专注的真相》
如果你家里即将有小朋友或者想要提高自己专注的能力
建议你不要错过
我已经下单了实体书，电子版先看起来

[Privasea AI @privasea_ai]

Big news! ImHuman is now part of @Intract_HQ Persona! 🔥

Verify now and earn 800 Genesis Stars! Bots get nothing - real humans win! 🧑✅

Join Privasea’s road to TGE: https://t.co/FmVU0fuhbn

[树酱 tree 🌲 @tree662881]

@RodMaartin 🙈can update trump ？

[Tw93 @HiTw93]

这个博客主题非常适合有作品的工程师来使用，可以很好的把你的社交媒体、做的作品、开源、最近的动态思考、博客挺好的展示出来，美感在线。https://t.co/vZ2GJeasGy

[歸藏(guizang.ai) @op7418]

Pika 新活，将你的照片变成任何图片中的人物，感觉是首尾帧加 ID 保持

[Andrew Ng @AndrewYNg]

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.”​ Statements discouraging people from learning to code are harmful!

In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment.

As coding becomes easier, more people should code, not fewer!

Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step.

I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively.

One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that.

When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result.

Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do.

[Original text: https://t.co/HdI3Jb9HmF ]

[Alex Xu @alexxubyte]

What is MCP?

Why is everyone talking about it?

Let’s take a closer look.

Model Context Protocol (MCP) is a new system introduced by Anthropic to make AI models more powerful.

[Ding @dingyi]

目前最好用的 MCP 聚合平台似乎只有 https://t.co/oHBFI5CgFm 这个。

[十里 @okooo5km]

Composio MCP 值得推荐！@composio

用户可以更方便地用 MCP 调用各类工具，让 AI 更丝滑的融入工作流😃

https://t.co/m2u8a1YbEw

[GitHubDaily @GitHub_Daily]

GitHub 上一个开源免费的一键部署自定义导航网站：Fre123 Nav。

界面简洁易用，可通过 Docker 一键部署，可视化管理后台配置，方便管理。

GitHub：https://t.co/5WckBMLInS

数据可完全由用户自定义控制，想要搭建自己专属的导航网站，可看下。

[Tw93 @HiTw93]

浙江大学出的这个开源的书籍「大模型基础」值得一看，行文风格挺不错的，易读、严谨、有深度的大模型教材。
https://t.co/5RSaT0u6HO

[i5ting @i5ting]

https://t.co/IdsT7dXgQI是一个非常好的易于学习的Node.js AI Agent开发项目模版。