Why everyone in AI is freaking out about DeepSeek
DeepSeek, a Chinese AI firm, launched the open-source DeepSeek-R1 model, outperforming OpenAI's o1 at lower costs, raising concerns about U.S.-China competition and potential market disruption in AI technology.
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DeepSeek, a Chinese AI subsidiary of High-Flyer Capital Management, has recently gained significant attention in Silicon Valley following the release of its large language model, DeepSeek-R1. This model reportedly performs reasoning tasks similar to OpenAI's top model, o1, but at a fraction of the cost and with fewer resources. DeepSeek-R1 has been made fully open-source, allowing users to fine-tune it for various applications, and its API costs are over 90% lower than OpenAI's. The model's integration with web search capabilities further distinguishes it from OpenAI's offerings. The rapid rise of DeepSeek has sparked discussions about its implications for the AI landscape, particularly concerning the competitive dynamics between U.S. and Chinese tech firms. While some celebrate DeepSeek's democratization of AI, others express concerns about censorship due to its Chinese origins. The success of DeepSeek has prompted reactions from industry leaders, with some suggesting it could reshape the market similarly to how Android impacted the operating system landscape. As DeepSeek and other Chinese models continue to advance, questions arise about the future of U.S. AI companies like OpenAI and their ability to maintain their lead in the industry.
- DeepSeek-R1 is a new large language model outperforming OpenAI's o1 on various benchmarks.
- The model is open-source and significantly cheaper to use than OpenAI's offerings.
- DeepSeek's rise raises concerns about U.S.-China competition in AI technology.
- The model's performance and accessibility may disrupt the current AI market dynamics.
- Censorship issues related to DeepSeek's Chinese origins have been highlighted by some users.
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3 commentsIt created about 3 optimizations that sped up the code quite a bit and made a good suggestion regarding making the comparer generic. On the other hand it also created one small code error and suggested a parallel code change that would break the whole process.
Ignoring that I'd say that overall it's quite impressive though, from the way it displayed the changes and ideas to how it did it in the end.
I even made a submission years ago trying to get some discussion going.
https://news.ycombinator.com/item?id=38505986
Nothing.
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