A look under the hood of DeepSeek’s AI models doesn’t provide all the answers

DeepSeek's AI models gained attention by matching OpenAI's performance on math and coding problems while using cheaper training methods through reinforcement learning, where models learn through trial and error rather than human-labeled examples. However, researchers studying DeepSeek's published work found that the models' apparent "reasoning" may be misleading, as their internal processes remain unclear and their success could stem from memorizing internet data rather than true problem-solving abilities.