David Tang

AI-first | Based in London

[David Tang @davidtangX]

https://t.co/in1c4Tlhwp

[David Tang @davidtangX]

https://t.co/fCftKs182i

[Andrej Karpathy @karpathy]

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.

More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:

1) raw text (hard/effortful to read)
2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default
3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default
...4,5,6,...
n) interactive neural videos/simulations

Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://t.co/z21CP5iQfu

There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.

TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

[David Tang @davidtangX]

https://t.co/J1JfOnR1xZ

[David Tang @davidtangX]

字节开源了一个能直接操控你电脑的 AI——UI-TARS

你说话，它操作鼠标键盘帮你干活

「帮我在 Priceline 订旧金山到纽约的机票」
「帮我把 VS Code 自动保存延迟改成 500ms」
「帮我查杭州天气画成图表」

浏览器、桌面应用都能操控，MCP 全打通

模型 2B / 7B / 72B 随选，本地跑，不要钱

Anthropic Computer Use 要收费，OpenAI Operator 要会员

字节直接开源了整个技术栈

[axiaisacat @axiaisacat]

字节跳动开源了一个能直接操控你电脑的 AI

叫 UI-TARS，开源免费，本地运行

你用说话的方式告诉它：
「帮我在 Priceline 订9月1日最早的旧金山到纽约的机票」
「帮我把 VS Code 的自动保存延迟设置成500毫秒」
「帮我查一下杭州这个月的天气然后画成图表」

它不是帮你写代码
它是直接看着你的屏幕，自己动鼠标键盘去做

浏览器和桌面应用都能操控
MCP 工具全部打通
模型大小 2B / 7B / 72B 任选，本地跑

Anthropic 的 Computer Use 要收费
OpenAI 的 Operator 要会员
字节直接开源了整个技术栈

这是国内大厂开源最有诚意的一个项目之一
没有之一

[宝玉 @dotey]

https://t.co/d1MmKpPABz

[David Tang @davidtangX]

https://t.co/l4ltdqY6tC

[David Tang @davidtangX]

https://t.co/dyjtab0F0c

[Peter Yang @petergyang]

I've spent way too long testing OpenClaw, Hermes, Claude Code, Codex, and Gemini as my personal agent.

The truth is, nobody has won this race yet.

Here's my new deep dive with my honest take on where each product stands, plus the personal agent stack I use right now.

📌 Read now: https://t.co/JlEeBXNIQR

[OpenAI @OpenAI]

Codex now works directly in Chrome on macOS and Windows.

It’s even better at working with apps and sites in Chrome, and now works in parallel across tabs in the background without taking over your browser.

To get started, install the Chrome plugin in the Codex app.

[ginobefun @hongming731]

Claude Design 有点东西，把 Pro 早报和邮件设计得很舒服，马上改版 😄

[David Tang @davidtangX]

发现一个宝藏资源， @faaaannng 做的 AI 视觉设计提示词库

每个场景都有完整 prompt，直接复制就能用，不用自己从零摸索

image2 生成的，效果很好

https://t.co/ewchBQvkIs

收藏比点赞还多，懂的都懂

[仕方 @faaaannng]

整理了一套《面向互联网设计师的 AI 视觉设计提示词库》覆盖多场景，附带全部完整提示词，拿来即用。由 image2 完成。先收藏
https://t.co/gAhBqdCUsb

[David Tang @davidtangX]

8/8
总结一下这 6 个项目的趋势：

多智能体协作正在成为 AI 交易的标准架构
开源项目正在对标 Bloomberg 这样的商业终端
自然语言写策略 + 自动化推送，个人量化的门槛越来越低

这 6 个项目链接都在上面，收藏这条慢慢研究

[David Tang @davidtangX]

1/8
上周 GitHub 涨星最快的 6 个金融 AI 项目

AI + 交易这条赛道，开源项目正在疯狂迭代
从多智能体框架到开源 Bloomberg，从个人量化到 A 股本地化
一个比一个猛

以下是逐个拆解⬇️

[David Tang @davidtangX]

7/8
⑥ TradingAgents-CN ⭐ 涨 641

第①个项目的 A 股中文版
针对 A 股市场、中文数据源和国产大模型做了完全本地化
https://t.co/fhqMXdngJc