Liang Wenfeng identifies continuous learning ability as AI's weak point. How does DeepSeek solve this problem?

Liang Wenfeng, CEO of DeepSeek, pointed out that one of the main problems with modern artificial intelligence systems is their lack of continuous learning capability. Unlike humans, who constantly absorb new information, most AI models remain static after the training phase and cannot adapt to new data without complete retraining. DeepSeek is working on solving this problem by developing algorithms that allow models to effectively fine-tune on new data while retaining previously acquired knowledge. This includes regularization techniques that prevent catastrophic forgetting, as well as architectural solutions that facilitate incremental learning. Such an approach will make AI systems more flexible and relevant in the long term, which is especially important for tasks requiring constant knowledge updates, such as analyzing news feeds or scientific publications.