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hot_img Transcript of Liang Wenfeng's investor meeting leaked: Claims restraint is a strategy, with the goal of AGI rather than super apps

Last month, comments from Liang Wenfeng during the DeepSeek investor meeting have recently circulated. Liang Wenfeng clearly stated that DeepSeek's goal is AGI, rather than becoming the next super app. They will not engage in 3D, video generation, or world modeling, nor will they close source code, stating, "Restraint is a strategy used to increase the probability of achieving AGI." He believes that products are merely "by-products" on the path to AGI, with the current focus on Coding Agent and continuous learning capabilities. The next phase aims to achieve autonomous model iteration, with the endpoint pointing towards embodied intelligence.In terms of commercialization, Liang Wenfeng stated that they only seek to earn "reasonable profits" and do not set profit maximization as their pricing goal. DeepSeek is "still far from a complete shift to commercialization." He assesses that the gap between AI in China and the U.S. mainly lies in resources rather than talent, stating, "Using a fraction of the computing power can narrow the gap to 6 months, 3 months." Regarding industry competition, he believes that open source is "the sweet point for companies of this scale," while also predicting that domestic large models will ultimately converge to "two large companies and two small companies." Liang Wenfeng also mentioned that maintaining team stability is the only non-negotiable core principle, and the company is driven by vision, with "a group of ordinary people achieving extraordinary things."

first_img DeepMind co-founder claims AGI could be achieved within a few years, calls for the establishment of a cutting-edge AI standards regulatory body

According to reports, Google DeepMind co-founder Demis Hassabis recently predicted that artificial general intelligence (AGI) could be achieved in just a few years, with its transformative impact reaching ten times that of the Industrial Revolution, and its development speed accelerating tenfold. He pointed out that as the potential risks of cutting-edge models in areas such as cybersecurity, nuclear energy, and biology become increasingly prominent, the industry urgently needs to establish robust security protections for future AI systems that possess autonomy and self-improvement capabilities.To balance technological innovation and security risks, Hassabis called for the United States to take the lead in establishing a "Frontier AI Standards Agency" similar to the Financial Industry Regulatory Authority (FINRA). This agency is proposed to operate under a public-private partnership or self-regulatory organization model, managed by independent technical experts and representatives from the open-source community, primarily funded through industry contributions. Its core function is to develop dynamic scientific assessment protocols, initially requiring frontier laboratories to voluntarily submit for review 30 days prior to the release of models, with plans to eventually transition to mandatory market entry testing, while non-frontier models from startups or academic institutions would be exempt. This framework aims to address unknown crises through a technology-driven review mechanism and to promote a global consensus on AI risk management within the international community.
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