# 学术失衡：AI研究转向闭源与全球知识扩散

- 来源：Nathan Lambert (@natolambert)
- 发布时间：2026-05-20 00:21
- AIHOT 分数：66
- AIHOT 链接：https://aihot.virxact.com/items/cmpcv2pj300eosljlvg6m77xw
- 原文链接：https://x.com/natolambert/status/2056772229120295416

## AI 摘要

本文指出，AI研究正从学术界主导向工业界闭源化转变，打破了长期由中立学者传播前沿知识的社会平衡。科技公司通过制造不信任感掌控叙事，削弱了科学界服务公众的传统。同时，金融驱动的“错失恐惧症”迫使许多志在学术的人才流向工业界。作者认为，尽管短期内发展由闭源模型主导，但知识最终必然扩散，其长期轨迹仍与开放科学紧密相连。在这一趋势下，凭借更利于研究获取与传播的环境，中国有望在未来成为全球AI研究的新中心。

## 正文

For a long time， academic researchers being at the cutting edge of new technologies has been a great social equilibrium. Neutral， unbiased technologists have been the people to spread new ideas to the world.

As AI research takes off in velocity， it is also going behind closed doors. The tech industry has sewed distrust， and now they are the ones trying to tell the world about incredible changes coming. It's a big loss to a form of social contract in America.

There's been a history of scientists helping society understand new technologies. There is a public service in the culture of science that I want to see continue.

It's being exacerbated by feelings of FOMO， especially finically driven， where I'm seeing many people who previously wanted to be professors -- and likely still do deep down -- feel a need to conform and chase money， in a pocket of industry. I get it， I grapple with this.

For those with a safety net， there will be great returns to some who choose to zag， and try to build something good， for people who need something different. For me， this is building interesting， fully-open models， to show what you can do with a variety of open weight sizes.

Yes， AI's immediate future is dictated by the frontier， but it's long-term trajectory still deeply includes academic institutions and open science. Knowledge will always diffuse， but to whom？

As of today， I think China is positioned to be the global home of AI research in a few years. The home of research is where ideas are accessible， spread rapdily， and are nurtured. The U.S. seems to be unwinding many institutions and relationships.

The largest returns go to people who build something differentiated， at least in reputation， and a lot of people are not being shown that this path exists.