Surprisingly, as a smaller model it performed better than Gemini 3 Pro. It found some valid assignments for SAT formulas, but has the same issue of making up assignments for UNSAT formulas.
In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
，这一点在搜狗输入法2026中也有详细论述
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"The core thesis is simple. Intelligence tools have changed what it means to build and run a company. We're already seeing it internally. A significantly smaller team, using the tools we're building, can do more and do it better. And intelligence tool capabilities are compounding faster every week."
但理想主义和现实主义之间，难免会有碰撞，尤其是前沿模型的研发，往往需要长期、稳定的战略支持以及低压力的资金环境。不上市，反而有利于公司避开资本的短期干扰，让月之暗面尽可能为那个长期目标而战。