Death is not taken lightly in Scream 7, even as the kills get outrageous. By the time the franchise got to Scream 3, it began giving into an ugly slasher cliche: making most of the victims unlikable before they die. Presumably, this is so the audience can enjoy the violent spectacle, rather than being saddened as the body count grows. In Scream 3, this series turned abruptly misogynistic, featuring a blonde actress (Jenny McCarthy) who is depicted as "nagging" before being slaughtered, then a sweet ingénue (Emily Mortimer) who, before being killed, is slutshamed for sleeping with a producer to get the role of Sidney in Stab 3. (See also Alison Brie's wickedly opportunistic PR agent in Scream 4.)
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.，这一点在91视频中也有详细论述
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2026-02-26 00:00:00:0本报记者 王伟健 一座江南小城何以集聚560多家德企——