"If my kids need me, I will be off with them - no question. We coordinate so that key moments for our children are protected, while the company still has a steady hand on the wheel," says Johansson.
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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The BBC tracked down the originator of the Croydon AI videos for the new podcast Top Comment, which investigates the stories behind our social media feeds. What we found was a new brand of online faker, who thrives off engagement and shrugs off responsibility for how the content can be used to push divisive political narratives.
Influencers have had a bad time of it at restaurants recently. There they are, just trying to record a quick video and take a few pictures of their lunch, and restaurateur Jeremy King (of the Ivy and the Wolseley in London) goes and writes an article saying they’re ruining the dining experience of “bona fide guests” – something he says staff are “desperately trying to stop”. I’ve read pieces calling TikTok the end of the London restaurant scene. Friends’ parents have even said they would get up and leave if they were sitting next to anyone filming their meal.
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