DeepSeek AI has announced plans to release five open-source repositories next week. Labelling the initiative as ‘Open Source Week,’ the company shared on X (formerly Twitter), “We’re a tiny team at DeepSeek exploring AGI (Artificial General Intelligence). Starting next week, we’ll be open-sourcing five repos, sharing our small but sincere progress with full transparency.”

Currently, DeepSeek AI hosts 14 open-source models and repositories on Hugging Face. The company has recently gained attention for its DeepSeek-R1 and DeepSeek-V3 models, which deliver cutting-edge AI performance while operating at a fraction of the cost required by other industry leaders.

The efficiency of DeepSeek’s models is notable, particularly in light of the high costs associated with training AI systems. Last month, NVIDIA experienced a significant market drop, losing approximately $589 billion in a single day—an event that raised concerns about the financial and computational requirements needed to develop powerful AI models.

DeepSeek-V3, for instance, was trained using just 2,048 NVIDIA H800 GPUs, yet it outperformed most other open-source models. Former OpenAI researcher Andrej Karpathy noted that such performance levels would typically require clusters of around 16,000 GPUs. In comparison, Elon Musk’s AI company xAI trained its latest model, Grok-3, using over 100,000 NVIDIA GPUs, with Karpathy suggesting that its performance is only slightly superior to DeepSeek-R1.

DeepSeek’s commitment to open-source AI has been widely recognized. Meta’s chief AI scientist, Yann LeCun, highlighted the broader significance of this development, stating that rather than framing it as China surpassing the U.S., it should be viewed as “open-source models surpassing proprietary ones.”

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Other AI research labs are also embracing an open-source approach. Chinese tech giant Baidu recently announced plans to release the source code for its Ernie 4.5 models. Baidu’s CEO, Robin Li, acknowledged that DeepSeek’s strategy of open-sourcing high-quality AI models has accelerated adoption by encouraging experimentation and curiosity among developers.

Even OpenAI is reconsidering its stance on open-source AI. CEO Sam Altman, in a recent interview with Sky News, hinted at a shift in strategy, stating, “I think we should probably open source somewhat more.” Additionally, in a Reddit ask-me-anything session, Altman admitted, “I personally think we have been on the wrong side of history here and need to figure out a different open-source strategy.”

With the AI industry increasingly moving toward openness, DeepSeek AI’s upcoming releases could further reshape the landscape of artificial intelligence research and development.

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