In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
报道援引联合反恐小组一名不愿透露姓名的高级官员的话说，警方在邦迪滩两名枪手车内发现一面“伊斯兰国”旗帜。澳大利亚安全情报组织6年前就已在调查邦迪滩枪击案两名枪手之一的纳维德·阿克拉姆，他与“伊斯兰国”在悉尼的恐怖分子有密切联系。
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