This week's Kettle episode focuses on DeepSeek, a venture that has dramatically affected the stock market, wiping out nearly a trillion dollars in value for tech giants like Nvidia, Microsoft, and Meta. The discussion involves insights from key figures such as Tim Prickett-Morgan, who explores the underlying technology of DeepSeek, and Tobias Mann, who explains how to operate the new R1 large language model locally. Despite the initial hype, there are doubts about the effectiveness of DeepSeek's offerings, leading to a blend of technical analysis and skepticism throughout the show.
DeepSeek's entrance onto the market has caused nearly a trillion dollars in losses for major tech firms, raising questions about the viability of its LLM offerings.
Tim Prickett-Morgan provides insights into the backend technology of DeepSeek, indicating potential shortcomings while highlighting its disruptive impact on the stock market.
During our discussion, contrasting views emerged on DeepSeek's LLM performance, with participants expressing skepticism about its true capabilities despite the initial hype.
The Kettle episode features engaging discussions around DeepSeek, blending technical assessments with a dose of humor, reflecting on the current state of AI developments.
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