Koutian Wu

Koutian Wu

AI4Sci PhD @ UT-Austin. ex-Undergrad @ USTC.

The World After LLMs: Who Will Be Reorganized by 2030?

less than 1 minute read

Published:

The most worth-watching thing in 2030 is not how many people are replaced by AI, but which jobs will be reorganized.

Author: Koutian Wu; GitHub: ktwu01

This research places LLMs back in the history of technology, tracing from steam power, electricity, and the personal computer all the way to today, and discusses how language models shift from being a chat tool into a work infrastructure that organizations can call upon. It also tries to answer a more practical question: what will be truly scarce in the future may not be the models themselves, but trustworthy data, responsibility boundaries, domain judgment, and the organizational interfaces that can tolerate mistakes.

Full HTML research report: The World After LLMs: Who Will Be Reorganized by 2030?

You May Also Enjoy

Luck Sourcing: The Sourcing of Getting Lucky

2 minute read

Published:

A long time ago, I came across a book called Chase, Chance, and Creativity: The Lucky Art of Novelty（《追逐、机遇和创造力：新奇的幸运艺术》）. I no longer remember everything in it, but its central idea stayed somewhere in the back of my mind: luck and creativity are not entirely random. Chance may arrive unexpectedly, but we can still choose how often we encounter it and whether we are ready to recognize it.

Luck Sourcing：主动寻找好运

less than 1 minute read

Published:

很久以前，我偶然看到一本书，叫 Chase, Chance, and Creativity: The Lucky Art of Novelty（《追逐、机遇和创造力：新奇的幸运艺术》）。我已经不记得书里的全部内容了，但它的核心想法一直留在我脑海中的某个角落：运气和创造力并不完全是随机的。机遇也许会意外到来，但我们仍然可以选择自己遇见它的频率，以及当它出现时，我们是否已经准备好认出它。