# 智谱AI创始人唐杰：AI正明确走向AGI，最终通向ASI

- 来源：Chubby♨️ (@kimmonismus)
- 发布时间：2026-07-12 02:19
- AIHOT 分数：68
- AIHOT 链接：https://aihot.virxact.com/items/cmrgp1s0n000xihtmmohv4t97
- 原文链接：https://x.com/kimmonismus/status/2076008533691138439

## AI 摘要

智谱AI（GLM-5.2）创始人唐杰在一封内部信中提出，AI正明确走向AGI并最终通向ASI。他认为自主智能体系统正迈向全自动“无人公司”，数千智能体持续协作、评估结果并分配资源。更引人注目的是，“AI训练AI”已初具雏形：模型能编写代码、合成数据并参与训练循环。智谱计划通过自我对弈、合成数据工厂和沙盒内代码重构，推动模型生成新知识而非重组人类输出。唐杰描绘了从长周期任务到ASI的演进路径，并称记忆、持续学习和自我评估等难题正被逐步攻克。

## 正文

Holy moly： Zhipu AI founder （GLM-5.2） Tang Jie says we are on our clear way to AGI and "AI will begin to learn what the "self" is and what self-awareness means"

In a purported internal letter， he argues that：
- autonomous agent systems are moving toward the fully automated "no-person company"： thousands of agents working continuously， collaborating， evaluating results and allocating resources.

- His more provocative claim： "AI training AI is already taking shape." （RSI） Models can increasingly write code， synthesize data and participate in training loops. Zhipu wants to push this further through self-play， synthetic-data factories and systems that can reconstruct their own code inside secure sandboxes， potentially generating new knowledge rather than simply recombining human output.

Long-horizon tasks → autonomous agent societies → fully automated "no-person companies" → AI training AI → self-evolution → self-awareness → emotion → consciousness → ASI.

Tang writes：
"AI will begin to learn what the 'self' is and what self-awareness means. Beyond that， it may begin to touch human emotion. Farther still lies consciousness itself."

He believes memory， continual learning and self-evaluation - problems once thought to require an entirely new paradigm - are gradually being overcome.
Models are already beginning to write code， synthesize their own data and participate in training future models.

Zhipu now wants systems that can reconstruct their own code and generate knowledge through self-play.

Is that the beginning of recursive self-improvement？
Tang appears to believe so. His essay does not stop at more capable AI tools. It describes a direct progression from automated work to self-evolving intelligence， and eventually to machines that understand their own existence.

In short： today's LLMs will lead to ASI via AGI， context and memory will be solved， and AI will become self-aware.

I've rarely seen anyone write something so bullish. And if it weren't coming from the founder of GLM， I would dismiss it. But not only is he a true expert， but with GLM they've proven what they're capable of.

h/t @AndrewCurran_ He brought the essay to my attention.

### 引用推文

> Bing Xu：http://x.com/i/article/2075956871975112704