Dr. Ala Shaabana, co-founder of the OpenTensor Foundation, stated that open-source AI development began to seriously compete with centralized AI starting in 2022. The introduction of DeepSeek, an openly developed AI model trained at a significantly lower cost compared to leading models, has challenged the traditional dominance of centrally managed AI, which requires immense financial investments. Shaabana emphasized that DeepSeek exemplifies how efficiency and collective intelligence can rival financial power. The growing trend in academia requiring researchers to publish their code alongside their papers has contributed to the rapid advancement in open-source AI, helping to close the gap with centralized systems. Additionally, tightening regulations on centralized AI, including potential geographic data restrictions due to geopolitical tensions, could increase the costs and challenges of centralized projects, further benefiting open-source alternatives. Following DeepSeek's disruptive impact, U.S. lawmakers, including Senator Josh Hawley, expressed concerns about the implications of Chinese-developed AI, prompting proposals for regulations on AI technology exchanges with China.

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