The image comes from a 1997 episode of the Pokémon anime, but it didn't become a viral reaction image until 2018, according to Know Your Meme, when fans began pairing Pikachu’s blank, open-mouthed stare with captions describing obviously avoidable outcomes. It quickly became a universal punchline, transcending Pokémon entirely. Today, Surprised Pikachu isn't just a Pokémon meme. It's internet shorthand.
'Taking in my grandchildren has left me penniless'
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Трамп высказался о непростом решении по Ирану09:14
他把话原封不动转给我：“你看，人家多关心我们一家。”，推荐阅读雷电模拟器官方版本下载获取更多信息
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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