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

DeepSeek’s cost-saving AI may lead to inaccuracy in model performance: research
South China Morning Post Monday 12 October 2026, 07:00 UTC By Minxiao Chang 1 min read
Key Points

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.

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,...
AI (ORG) Chinese (ORG) US (LOCATION) ByteDance (ORG) Princeton University (ORG) Stanford University (ORG) the University of California, Berkeley (ORG)
Originally published by South China Morning Post Read original →

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