Unverified50% confidenceFactExact time
深蓝采用极小化极大算法（Minimax）配合Alpha-Beta剪枝作为核心技术
1
Sources
50%
Confidence
Long-term
Relevance
8/21/2026
First Seen
Sources
Related Claims
UnverifiedIn the Super Mario game generation test, MiniMax M3 outperformed DeepSeek and other models.67% similarUnverifiedThe author recommends exercising caution when using models such as MiniMax M3 and DeepSeek for complex code root-cause analysis tasks.66% similarUnverifiedMiniMax M3 was able to accurately understand and correctly implement the requirement in the prompt for 'a card-style left navigation bar,' whereas DeepSeek failed to understand this requirement on its first generation.65% similarUnverifiedDeepSeek's key innovation lies in its fine-grained expert splitting strategy, which breaks down the larger experts in traditional MoE into a greater number of smaller units.62% similarUnverifiedMiniMax adopts a MoE (Mixture of Experts) architecture, activating only a small number of expert sub-networks per forward pass, which gives it a cost advantage in long-context code understanding.62% similar
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