DeepSeek’s reported AGI roadmap puts continual learning ahead of products and growth
SwordfishGreedy1945 · reddit · 2026-07-23
The post summarizes a circulating transcript attributed to DeepSeek founder Liang Wenfeng from a closed-door investor meeting. The reported roadmap is:
- chain-of-thought reasoning
- agents
- continual learning
- AI self-improvement
- embodied intelligence
The author argues Liang’s view implies that the next real breakthrough is not just better cost or speed, but continual learning—systems that accumulate experience over time. If that is solved, models could accelerate AI research and help build their successors. Embodied intelligence would come later.
The post also interprets DeepSeek’s current priorities as a reflection of that roadmap:
- coding agents first, then general-purpose agents
- vertical agents for finance or healthcare are lower priority
- scaling still matters, but compute scarcity is a constraint rather than the end of scaling
- multimodality matters for products, but is not the main path to intelligence
- 3D/video/world models are not on the critical path right now
- commercialization and user growth matter, but should not steer research direction
- team stability is treated as non-negotiable
A source note says the transcript was reported by Chinese media, with a financing-related institution considering it credible, but DeepSeek itself had not confirmed it.
Related event: DeepSeek Founder Liang: Sole Focus is AGI, Not Commercialization(6 posts)→
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