Unveiling Deep Seek: Cost, Innovation, and Implications
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Deep Seek's model cost of $5.6 million is just the tip of the iceberg, with a billion-dollar investment in 50,000 Nvidia Hopper GPUs. They didn't break the rules but rather innovated within constraints, showcasing creativity in optimizing model architecture. While Deep Seek leads in efficiency, OpenAI surpasses in overall capability with their 03 model. The visible Chain of Thought in Deep Seek's R1 is more about presentation than a technical breakthrough, offering users a peek behind the curtain.
Allegedly using model distillation, Deep Seek trained models on ChatGPT's outputs, a move that raised eyebrows for breaking OpenAI's terms of service. Platforms like Cursor and Venice AI are integrating Deep Seek models, offering users more options while raising data privacy concerns. The rise of efficient AI like Deep Seek may actually boost demand for Nvidia chips in the long run, a paradox that could reshape the tech landscape. US tech giants stand to benefit from Deep Seek's models, leveraging their advantages for various applications.
Users now have access to powerful reasoning models like Deep Seek's R1 and ChatGPT's 03 mini without additional costs, opening up new possibilities for AI applications. To protect data privacy, users can choose platforms that integrate Deep Seek or run models locally, ensuring their information stays secure. Making informed choices about adopting Deep Seek is crucial, considering the implications for individual needs and workflows. While the impact on US tech companies and the stock market remains debatable, Deep Seek's influence on users is undeniable, pushing the boundaries of AI innovation.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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