20VC: Deepseek Special: Is Deepseek a Weapon of the CCP | How Should OpenAI and the US Government Respond | Why $500BN for Stargate is Not Enough | The Future of Inference, NVIDIA and Foundation Models with Jonathan Ross @ Groq
This interview podcast focuses on analyzing DeepSeek, a new Chinese large language model (LLM), and its implications for the AI industry. The discussion begins with an overview of DeepSeek's capabilities and its surprisingly low training cost, then delves into the technical aspects of its development, particularly its innovative use of distillation and reinforcement learning techniques from OpenAI's data. The conversation further explores the geopolitical implications of DeepSeek's open-source nature, the potential for data capture by the CCP, and the competitive responses from companies like OpenAI and Meta. A key takeaway is the commoditization of LLMs and the shift towards prioritizing inference over training, impacting the future of companies like NVIDIA. The podcast concludes by discussing the need for adaptation and innovation in the face of this rapidly evolving technological landscape.
