Did open source Chicom developed AI by no name company on 5.5mio $ learning budget just Nuke Open AI , not just that its preforming as good or better than Open Ai , its can run of your own devices.
''U.S. export controls on advanced semiconductors were intended to slow China's AI progress, but they may have inadvertently spurred innovation. Unable to rely solely on the latest hardware, companies like Hangzhou-based DeepSeek have been forced to find creative solutions to do more with less.
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This month, DeepSeek released its R1 model, using advanced techniques such as pure reinforcement learning to create a model that's not only among the most formidable in the world, but is fully open source, making it available for anyone in the world to examine, modify, and build upon.
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DeepSeek-R1’s performance is comparable to OpenAI's top reasoning models across a range of tasks, including mathematics, coding, and complex reasoning. For example, on the AIME 2024 mathematics benchmark, DeepSeek-R1 scored 79.8% compared to OpenAI-o1’s 79.2%. On the MATH-500 benchmark, DeepSeek-R1 achieved 97.3% versus o1’s 96.4%. In coding tasks, DeepSeek-R1 reached the 96.3rd percentile on Codeforces, while o1 reached the 96.6th percentile – although it’s important to note that benchmark results can be imperfect and should not be overinterpreted.
But what’s most remarkable is that DeepSeek was able to achieve this largely through innovation rather than relying on the latest computer chips.''
''U.S. export controls on advanced semiconductors were intended to slow China's AI progress, but they may have inadvertently spurred innovation. Unable to rely solely on the latest hardware, companies like Hangzhou-based DeepSeek have been forced to find creative solutions to do more with less.
...
This month, DeepSeek released its R1 model, using advanced techniques such as pure reinforcement learning to create a model that's not only among the most formidable in the world, but is fully open source, making it available for anyone in the world to examine, modify, and build upon.
...
DeepSeek-R1’s performance is comparable to OpenAI's top reasoning models across a range of tasks, including mathematics, coding, and complex reasoning. For example, on the AIME 2024 mathematics benchmark, DeepSeek-R1 scored 79.8% compared to OpenAI-o1’s 79.2%. On the MATH-500 benchmark, DeepSeek-R1 achieved 97.3% versus o1’s 96.4%. In coding tasks, DeepSeek-R1 reached the 96.3rd percentile on Codeforces, while o1 reached the 96.6th percentile – although it’s important to note that benchmark results can be imperfect and should not be overinterpreted.
But what’s most remarkable is that DeepSeek was able to achieve this largely through innovation rather than relying on the latest computer chips.''
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