用 AI 分析推特视频,3 步搞定:
① 看到感兴趣的视频,右键拷贝视频链接
② 在 Claude Code(codex) 里输入:
```
把这个视频里面的声音转成文字,保存到本地:https://t.co/mH1i7V898k
```
③ CC 自动用 MLX-Whisper 本地转录(第一次运行需要下载模型,大概几百兆),输出字幕文本文稿
转完之后就可以用AI直接对文字稿提问了!
我让 CC 把这个流程写成了可复用的 skill,以后看到任何视频,拷链接然后复用skill,就可以用AI分析推特视频了。
你学废了吗?关注我,把我的AI实战经验都分享给你。
帖子本身和我的推文无关,这个老外在视频里叽里咕噜说的太含蓄,我就是靠这招不停问答才搞懂他是如何做到帖子里的内容的。
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Watch it today, then read how to build a self-improving agentic system in the article below.
My skills repo has 160K stars, 7.5m downloads...
...and no tutorial.
So, here it is. Watch me walk through the essential skills:
- /grill-with-docs
- /to-spec
- /to-tickets
- /implement
- /code-review
It's the whole flow, end-to-end. Enjoy:
Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free.
Bookmark & watch this today before someone takes it down and read this article below
Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026:
• 00:00 - How to build agentic AI systems
• 04:25 - Future of AI engineering
• 23:38 - AI Prompting full course
• 2:52:17 - Creating an app with AI in 30 minutes
This 3-hour watch could replace 10 AI engineering courses on the internet.
Watch it today, then read how to run a self-improving system in the article below.