models write code themselves, clean and synthesize data themselves, train themselves … achieving the “creation of knowledge from nothing” through AI-versus-AI adversarial Self-Play, and granting systems the capability to restructure their own code within secure sandboxes
The company rejects bolt-on safety patches and insists on embedding human ethics, social norms, and national laws and regulations as foundational axioms in the model’s value function. We plan to commit resources in the tens of billions to tackle “mechanical interpretability,”
I presume the tens of billions means RMB, so probably billions of USD.
I’m uncomfortable with the likely effects on AI personality and goals of adversarial self-play.
[https://www.geopolitechs.org/p/tang-jies-letter-to-zhipu-employee](The Wave Has Arrived: Zhipu Co-Founder Tang Jie’s Letter to Staff) has a weird mix of encouraging and worrying aspects.
See also [https://www1.hkexnews.hk/listedco/listconews/sehk/2025/1230/2025123000017.pdf](the business section of Zhipu’s IPO prospectus). Zhipu trains the GLM series of AIs.
Tang wants self-evolving AI:
I presume the tens of billions means RMB, so probably billions of USD.
I’m uncomfortable with the likely effects on AI personality and goals of adversarial self-play.