Deepseek was quietly updated, it has powerful performance. US gives up leadership in open source AI!

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This video is about the quiet launch of DeepSeek V3.0-324, an open-source AI model from China, and its significant impact on the AI landscape.

Key points from the video include:

  • Model Details: DeepSeek V3.0-324 was launched on March 24, 2025, and has 6,710 billion parameters with a Mixture of Experts architecture. It is an open-source model released under the MIT license, and its full weights are available.

  • Performance: The model has shown impressive performance, scoring 90.2 on the Math 500 test, which surpasses both GPT-4 and Claude 3.5 Sonnet. It also rivals top closed-source models in code generation and long-text reasoning.

  • Release Strategy: DeepSeek’s release was low-key, without flashy demos or hype. The company shared updates through a brief technical report and an X post, an approach that was widely praised by the AI community for its pragmatism.

  • Accessibility: A surprising feature is the model’s ability to run on a single Mac Studio after 4-bit quantization, which shrinks its weight from 641 GB to 352 GB. This low-barrier deployment allows small businesses and individual developers to use it without costly servers.

  • Strategic Advantage for China: The video argues that DeepSeek’s open-source ethos gives China a strategic advantage by reducing reliance on US-based AI companies. This approach encourages local breakthroughs and supports Chinese chipmakers like Huawei and others to develop hardware tailored for such models.

  • Future Outlook: The video concludes by mentioning the anticipation for DeepSeek R2, the next generation of the model, which is expected to further advance the open-source ecosystem and challenge the dominance of closed-source AI companies.