Zhipu founder Tang Jie said in an internal letter that the company will stick to what he described as a “counterintuitive” path and launch a “Touch High” plan, keeping its focus on artificial general intelligence, or AGI, rather than short-term commercial monetization. According to the letter, Tang framed the next phase of AGI competition around four major technical peaks that must be crossed: Long Horizon Task, Autonomous Agent System, Fully Self Training, and extreme safety governance. He placed particular emphasis on safety governance. The company plans to commit resources at the level of tens of billions to work on mechanistic interpretability, an effort aimed at clarifying the neuron-level logic behind model decisions and moving AI systems from black-box structures toward transparent and interpretable systems. The update was reported by Latepost and cited by Odaily.
Zhipu founder Tang Jie said in an internal letter that the company will continue on what he called a “counterintuitive” path and launch a “Touch High” plan, keeping its attention on AGI research instead of short-term commercialization, according to Odaily, citing Latepost.
In the letter, Tang laid out Zhipu’s view of the next stage of competition around artificial general intelligence.
Four peaks on the road to AGI
Tang wrote that the path toward AGI requires crossing several major peaks, which he described as the areas where today’s technology wave is strongest. He listed four of them:
- Long Horizon Task
- Autonomous Agent System
- Fully Self Training
- Extreme safety governance
Mechanistic interpretability singled out
Among the four, extreme safety governance was given special emphasis. Zhipu plans to invest resources at the level of tens of billions to tackle mechanistic interpretability.
The goal, according to the report, is to clarify the neuron logic behind model decisions and push black-box systems toward transparent, interpretable systems.
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