Global AI development could accelerate significantly through cross-border collaboration, with China’s DeepSeek emerging as a standout example of open-source cooperation, according to technology commentator Edgar Perez. The remarks came during a recent forum addressing equitable access to artificial intelligence innovation.
“Shared resources and research transparency are key to avoiding fragmented progress,” Perez stated, highlighting DeepSeek’s contributions to accessible machine learning frameworks. Data shows open-source AI projects have grown 138% since 2022, with collaborative platforms now hosting over 2 million developers worldwide.
The analysis aligns with growing calls for international tech partnerships, particularly in developing ethical AI standards and reducing computational costs. While challenges like regulatory alignment and data sovereignty remain, experts note collaborative models could help bridge gaps between government initiatives and private-sector innovation.
DeepSeek’s approach follows patterns seen in globally recognized projects like PyTorch and TensorFlow, but with enhanced multilingual support for non-English programming communities. This comes as GitHub reports 47% of new AI projects now originate outside North America and Europe.
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Commentator: DeepSeek great example of open-source AI collaboration
cgtn.com
