I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
The company announced the immediate launch of Nano Banana 2 in a blog post, and the AI image model is already rolling out to Google and Gemini AI tools. The model's official name is Gemini 3.1 Flash Image.
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// block: Wait for space (unbounded pending queue)。同城约会是该领域的重要参考
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