DeepSeek’s cost-saving AI may lead to inaccuracy in model performance: research

Research led by ByteDance with co-authors from Princeton University, Stanford University and the University of California, Berkeley found a potential flaw in the memory-saving technology underpinning DeepSeek's models, challenging the low-cost approach that helped the Chinese AI lab close the gap with OpenAI and Anthropic. The findings were published late last month in a paper.

New research has exposed a potential flaw in the memory-saving technology underpinning DeepSeek’s models, marking a rare challenge to a breakthrough that has helped the Chinese artificial intelligence lab close the gap with US rivals OpenAI and Anthropic with its low-cost approach. The findings were published late last month in a paper led by researchers from ByteDance and co-authors affiliated with Princeton University, Stanford University and the University of California, Berkeley. The study,...