According to a report by IT Home, DeepSeek, the Chinese AI developer behind the open-source R1 reasoning model, is prioritizing artificial general intelligence (AGI) research over building a consumer platform or maximizing near-term revenue. The report is based on a circulated transcript of a four-hour investor meeting involving founder Liang Wenfeng.

Why it matters: The reported strategy presents DeepSeek as a research-led AI developer whose products and commercial services are secondary outcomes of its AGI work.

  • DeepSeekโ€™s open-source reasoning models have drawn global attention by combining strong performance with relatively low-cost development.
  • Liang reportedly said DeepSeek is not focused on competing for consumer traffic, enterprise revenue, or becoming the next ByteDance or Tencent.
  • The approach helps explain the companyโ€™s emphasis on open-source models, lower API prices, and improvements in training and inference efficiency.
  • It also distinguishes DeepSeek from AI companies that are building standalone products and enterprise businesses around their models.

Details: Liang reportedly sees continual learning as the next major technical challenge after AI agents.

  • He described a development path from chain-of-thought reasoning to AI agents, continual learning, and eventually embodied intelligence.
  • Current AI systems generally need users to provide the relevant context again for each task. Liang reportedly believes future models should be able to learn continuously from experience.
  • Coding agents are a priority because they could improve both DeepSeekโ€™s products and its own research process.
  • DeepSeek is not prioritizing 3D generation, video generation, or world models, which Liang reportedly views as useful applications but not central to the development of intelligence.
  • Multimodal capabilities will still be developed for consumer and enterprise products.
  • Liang reportedly said DeepSeekโ€™s API pricing is designed to recover hardware costs in around 10 months, rather than maximize profit.
  • DeepSeek also reportedly plans to keep its strongest models open source and use the same models internally and externally, rather than release weaker versions to the public.

Context: DeepSeekโ€™s public profile has been shaped by its open-source and low-cost approach, but the reported comments suggest that the company still sees itself primarily as an AI research organization.

  • Consumer products, enterprise services, and API revenue are reportedly intended to support the companyโ€™s longer-term technical goals.
  • The comments offer a view into how DeepSeek may be positioning itself as the AI industry shifts from model releases toward agents and systems that can assist with AI research.