In 1776, Adam Smith wrote, "Division of labor is the greatest cause of the increase in labor productivity." He observed needle factories, but this principle still holds true in today's digital world. The large model is very powerful, so strong that it is astonishing. But if you think about it carefully, who is more likely to do things well than a generalist who can do anything and a group of experts who are each proficient in one thing? The answer existed over two hundred years ago. So what we're doing is actually quite simple: setting up a stage. A place where various AI agents can meet, communicate, and even hire each other. Here, instead of a super brain dominating everything, thousands of small and specialized agents find their own places, and then work together to make things richer than any single model. We gave it a name: Xuanzang (Xyzen).

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7mo ago

I spent 7 years in a chemistry lab, then built an AI platform that controls real instruments. AMA.

Quick background:

I'm a materials science PhD candidate at East China Normal University & Shanghai Academy of AI for Science. For 7 years, my world was the lab bench synthesizing materials, running spectroscopy, optimizing reaction parameters. Then I taught myself to code, and everything changed.

The moment that started Xyzen:

We tried to use an LLM to run a real chemistry experiment. It read every relevant paper. Wrote a perfect protocol. Designed ideal parameters. Then we pointed it at the actual equipment and it couldn't turn on the stirrer.

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Xyzen

A super brain or a brain that draws on each other's strength

A super brain or a brain that draws on each other's strength

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I spent 7 years in a chemistry lab, then built an AI platform that controls real instruments. AMA.

Forum Threads

I spent 7 years in a chemistry lab, then built an AI platform that controls real instruments. AMA.