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DeepSeek sets example for AI firms to have work peer reviewed by major journals: experts
There could be more submissions by Chinese tech firms to world-leading journals, according to Shanghai-based AI researcher Zhu Xiaohu
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DeepSeek’s landmark peer-reviewed article featured in the British journal Nature could encourage other Chinese artificial intelligence companies to submit their work to major scientific publications, according to AI experts.
Hangzhou-based DeepSeek set a “very good example” for future AI model releases from both Chinese and US firms, according to Huan Sun, an associate professor of computer science and engineering at Ohio State University.
“I hope frontier model developers could follow suit and go beyond just releasing ‘technical reports’ or ‘system cards’ with few details,” she said.
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DeepSeek’s article in Nature, published last week, revealed details about the risks faced by its AI models for the first time, noting that open-sourced models were particularly susceptible to being “jailbroken” by malicious actors.
Before its publication in Nature, DeepSeek’s manuscript went through several rounds of feedback from eight reviewers, made up of respected academics and researchers. It was first submitted to the journal on February 14, weeks after the Chinese start-up released its R1 reasoning model to wide industry acclaim.
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DeepSeek’s decision to have its work peer-reviewed by a renowned journal reflected the company’s confidence in its AI development, serving as a guidepost for other AI firms on the mainland and overseas.
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