曾经的 Nano Banana 一举之力把 Gemini 送上了排行榜前列，到现在与 OpenAI 的 ChatGPT 抗衡。这次的更新虽然没有之前的轰动，但 Google 这一系列在创意工具上的操作，显然还在继续加速。
因为中文的显示，当模型没有参考时，通常会以统一的字体进行渲染，而英文字体的样式，适配会更丰富。
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From that list of 40 or 50 people, it was easy to find and trawl their social media. And that is when they found a photo of Lucy on Facebook with an adult who looked as though she was close to the girl - possibly a relative.。快连下载-Letsvpn下载对此有专业解读
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.