Liang Wenfeng says DeepSeek is chasing AGI, not commercialization, in a 4-hour investor meeting

创业邦 · wechat · 2026-07-23

What Liang Wenfeng said in a 4-hour DeepSeek investor meeting

A WeChat deep-dive reconstructs the key points from Liang Wenfeng’s roughly four-hour investor meeting, focusing on DeepSeek’s strategy, organization, compute constraints, and roadmap toward AGI.

Vision over process: Liang framed DeepSeek as a mission-driven company with no KPI-heavy management, no rigid organization, and a shared belief that the work is meant to be useful to humanity rather than purely money-driven.
Pricing and commercialization: He said API pricing is set around a “reasonable profit” target—roughly enough to recover hardware costs in about ten months—and described commercialization as a byproduct of pursuing AGI rather than the primary goal.
AGI roadmap: Liang described AI progress as a staircase: CoT was last year’s step, agents are this year’s step, and the next major hurdle is continuous learning. Only after that, he said, would self-iteration and embodied intelligence become feasible.
Team and organization: DeepSeek’s biggest core interest, in his view, is keeping the team stable. He said talent retention, shared belief, and organizational cohesion matter more than money or formal structure.
Compute and China-U.S. gap: He argued the biggest gap with the U.S. is compute resources, not talent. DeepSeek reportedly has around 20,000 H-series equivalent compute, while frontier U.S. efforts are training on much larger clusters.
Domestic chips: Liang was optimistic about国产算力, saying the window for Chinese chip adoption is opening because CUDA’s moat is weakening and supply constraints are forcing the ecosystem to adapt.
Efficiency and scaling: He said DeepSeek believes in scaling and wants lower model costs, but is constrained by resources. In his view, training size is determined by available compute rather than a fixed “enough” threshold.

The article’s main takeaway is that DeepSeek sees itself less as a product company and more as an AGI-oriented research organization with unusually strict discipline about focus, cost, and team stability.

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Liang Wenfeng says DeepSeek is chasing AGI, not commercialization, in a 4-hour investor meeting

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