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Microsoft says Copilot was summarizing confidential emails without permission

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.

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简单来说,世界模型 = 让 AI 在脑子里“模拟整个世界”。它不是简单的“看图、生成视频”,而是让 AI 学会世界有什么物体、物体之间怎么互动、物理规则是什么、事情会怎么发展,然后在内部构建一个虚拟的、可推理的世界。

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