A DeepSeek internal exchange interpreted: teardown of the complete AGI roadmap, open-source strategy and the underlying logic of compute layout



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🕒Last updated: 08/14/2026
🎯#DeepSeek
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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A full teardown of Liang Wenfeng's investor-exchange internal recording - all the substance, restoring DeepSeek's underlying development logic. Dropping industry marketing talk, it starts from the company's original aspiration and vision-driven management, detailing the open-source strategy and the restrained, break-even-in-October pricing business strategy; it maps the complete AGI tech roadmap of CoT, agents, continuous learning and embodied intelligence, analyzes the US-China compute gap and the historic opportunity of domestic-chip substitution, and explains the TileLang ecosystem. It also interprets the team's flat management, core talent-retention thinking, C-end/B-end side-hustle positioning and industrial-symbiosis thinking - paired with full investor Q&A teardown of core industry pain points. Suited to large-model practitioners and AI entrepreneurs wanting to understand a leading domestic model's long-term layout.

A full teardown of Liang Wenfeng's investor-exchange internal recording - all the substance, restoring DeepSeek's underlying development logic. Dropping industry marketing talk, it starts from the company's original aspiration and vision-driven management, detailing the open-source strategy and the restrained, break-even-in-October pricing business strategy; it maps the complete AGI tech roadmap of CoT, agents, continuous learning and embodied intelligence, analyzes the US-China compute gap and the historic opportunity of domestic-chip substitution, and explains the TileLang ecosystem. It also interprets the team's flat management, core talent-retention thinking, C-end/B-end side-hustle positioning and industrial-symbiosis thinking - paired with full investor Q&A teardown of core industry pain points. Suited to large-model practitioners and AI entrepreneurs wanting to understand a leading domestic model's long-term layout.

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