Guo Zhang

[Guo Zhang @guo_thu_mit]

I use puppyone everyday as my default lightweight and lighting fast md/html reader.

[Guanqun @realGuantum]

Claude's new tools just killed Microsoft Office.

So we open-sourced our own versions to kill Claude's.

Whiteboard. Spreadsheet. Dashboard.

Free. Open source. Works with any model. Available now.

[Guanqun @realGuantum]

Claude's new tools just killed Microsoft Office.

So we open-sourced our own versions to kill Claude's.

Whiteboard. Spreadsheet. Dashboard.

Free. Open source. Works with any model. Available now.

[Guo Zhang @guo_thu_mit]

@MehreenNMalik We’re witnessing a once-in-a-generation shift and part of it.

[Mehreen Malik @MehreenNMalik]

China’s post 1990s generation of AI talent is something to behold.

One thing that has caught my attention is the age of the people building China’s frontier AI.

Kimi’s founder was born in 1992. Many of the teams behind MiniMax, Seedance, Zhipu, and other leading AI companies are dominated by engineers born in the 1990s and early 2000s.

This isn’t limited to AI. This year’s Fields Medals also went to two Chinese mathematicians from the same generation.

I don’t think these are isolated events. They may be early signals of a much deeper trend: what we’re witnessing is not just an AI boom, but the emergence of a new generation of scientific and engineering talent in China.

One possible explanation is education.

After the Cultural Revolution ended, China’s education system was gradually rebuilt. The generation that became today’s parents of many 90s and 00s children benefited from that recovery, and many placed an extraordinary emphasis on education. The result may be the first generation of Chinese researchers and entrepreneurs raised in families where higher education had become both accessible and deeply valued.

If this hypothesis is right, AI is only the beginning.

We may see the same generation produce breakthroughs not only in frontier models, but also in quantum computing, biology, mathematics, computer science, and many other fields over the coming decades.

[Guo Zhang @guo_thu_mit]

@DeepWideRAG Cool Staff

[Guo Zhang @guo_thu_mit]

@GenraAI Cool!

[Genra AI @GenraAI]

Introducing Genra — the AI video generator that turns your ideas into stunning videos in minutes. 🏅
Type your idea, and Genra builds scenes, characters, and motion — all in one chat.
Try it now 👉 https://t.co/XYR3ywr2uY
#AIVideo #GenraAI #TextToVideo #AItools #VideoGeneration

[Ray Liao @rayruizhiliao]

In our demo, we turned the Amtrak website into a live connector, enabling LLMs to perform CRUD operations across the web in real time. Imagine if every web app were this accessible to AI agents. What web apps would you like to see connected next? Drop a comment or DM me!

[Guo Zhang @guo_thu_mit]

@AnthropicAI @threadreaderapp unroll

[Guo Zhang @guo_thu_mit]

@realDonaldTrump @threadreaderapp

[Guo Zhang @guo_thu_mit]

@threadreaderapp @threadreaderapp unroll

[Science Magazine @ScienceMagazine]

A new #MedicalDevice that captures radio waves in patients’ homes can nonintrusively track gait, disease progression, and medication responses in #ParkinsonsDisease, offering an objective tool to measure disease progression in the home setting. https://t.co/ES4jDTgEJL @ScienceTM

[Guo Zhang @guo_thu_mit]

Also check the MIT news and our video about the report:
1. MIT News: https://t.co/C3GL23IrFr

2. Video: https://t.co/Ajy8DfQwZ7

3. Project website: https://t.co/pgd7jTZ3sa

[Science Translational Medicine @ScienceTM]

A new #MedicalDevice that captures radio waves in patients’ homes can nonintrusively track gait, disease progression, and medication responses in #ParkinsonsDisease, offering an objective tool to measure disease progression in the home setting. @MITEECS https://t.co/VfUl5vhj7m

[Science Translational Medicine @ScienceTM]

A new #MedicalDevice that captures radio waves in patients’ homes can nonintrusively track gait, disease progression, and medication responses in #ParkinsonsDisease, offering an objective tool to measure disease progression in the home setting. @MITEECS https://t.co/VfUl5vhj7m

[MIT CSAIL @MIT_CSAIL]

MIT researchers track patients' progression of Parkinson's disease using in-home device: https://t.co/cOh6gdyYTv

[Guo Zhang @guo_thu_mit]

See our latest research on using wireless signal to track PD:

Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response https://t.co/QCeR3MQYuo