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cover of episode DeepSeek R1 & The Short Case For Nvidia Stock | Jeffrey Emanuel

DeepSeek R1 & The Short Case For Nvidia Stock | Jeffrey Emanuel

2025/1/28
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Jeffrey Emanuel
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专注于电动车和能源领域的播客主持人和内容创作者。
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Jeffrey Emanuel: 我认为DeepSeek的效率提升以及我撰写的文章共同导致了英伟达股价下跌。DeepSeek的45倍效率提升表明整个行业过度配置了计算资源,这将导致对计算资源的需求低于预期,并迫使英伟达降低利润率。即使没有DeepSeek,英伟达也面临着来自其他芯片供应商的竞争,以及大型科技公司开发定制芯片的挑战。这些公司正在开发自己的定制芯片,以降低对英伟达昂贵芯片的依赖,即使这些定制芯片性能不如英伟达芯片,但成本优势仍然使其具有吸引力。英伟达的护城河在于其CUDA软件,但新的高阶框架和LLM正在挑战这一优势。此外,合成数据可以解决AI训练数据不足的问题,尤其是在逻辑和数学领域,这将进一步改变AI产业的格局。 主持人: DeepSeek的效率提升是否在意料之中?为什么市场对DeepSeek的反应如此强烈?DeepSeek的出现是否会对OpenAI等公司造成影响?合成数据对AI供应链有何影响?

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China’s new DeepSeek AI model, which reportedly matches GPT-4’s performance at 1/45th the cost, has rattled the AI hardware market and contributed to a 20% dip in Nvidia’s stock price. Investor-technologist Jeffrey Emanuel argues that DeepSeek’s efficiency gains aren’t the only story, as his viral 12,000-word article “The Short Case for Nvidia Stock” also catalyzed the market’s panic. In this episode, we explore how these converging factors could unbundle Nvidia’s once-unassailable lead and drastically reshape AI compute economics.

 

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------ TIMESTAMPS 00:00 Start 05:20 Intro To Jeff 07:27 The Issue With DeepSeek 16:00 Inference Compute Explained 24:51 Nvidia's Competition 29:14 DeepSeek's Impact On Valuations 36:46 Criticism Around Jeff's Thesis 44:17 DeepSeek's 45x Upgrade 51:30 The Transformer Explained 01:03:15 Why Is Everyone Shocked? 01:12:07 Synthetic Data 01:21:30 Why Jeff's Article Went Viral

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