Anthropic推出了Claude 3.5 Sonnet模型及Artifacts功能，显著提升编码效率，优于ChatGPT。Artifacts支持通过提示创建网站、代码片段等，增强协作性。团队使用Streamlit、Node.js、React等技术，仅三个月便完成开发。沙盒隔离确保安全性，Claude模型在开发过程中被广泛使用，加速了功能实现与迭代。

A post for developers with advice and workflows for building effective AI agents.

正如 LSP 成为了 IDE 的通用标准一样，Anthropic 正在将 MCP 打造成 LLM 集成的开放标准。

最棒最好最新的信息，总来自赛博禅心

Giving a talk is a lot of work. I go by a rule of thumb I learned from Damian Conway: a minimum of ten hours of preparation for every one hour spent on stage.

If you’re going to put that much work into something, I think it’s worth taking steps to maximize the value that work produces—both for you and for your audience.

One of my favourite ways of getting “paid” for a talk is when the event puts in the work to produce a really good video of that talk, and then shares that video online. North Bay Python is a fantastic example of an event that does this well: they team up with Next Day Video and White Coat Captioning and have talks professionally recorded, captioned and uploaded to YouTube within 24 hours of the talk being given.

Even with that quality of presentation, I don’t think a video on its own is enough. My most recent talk was 40 minutes long—I’d love people to watch it, but I myself watch very few 40m long YouTube videos each year.

So I like to publish my talks with a text and image version of the talk that can provide as much of the value as possible to people who don’t have the time or inclination to sit through a 40m talk (or 20m if you run it at 2x speed, which I do for many of the talks I watch myself).

自 11 月 30 日 ChatGPT 发布，其令人惊艳的对话能力，在业界引发了对通用人工智能的热潮。截止发文，OpenAI 一直保持遥遥领先，且并未透露更多的技术细节。然近日，一款新的 AI 助手 Claude 发布，ChatGPT 终于迎来强有力的竞争对手，本文中 chowgenxiao 和 fairyang 将介绍 Claude 背后的技术。