«Сосульки — это не просто сезонная неприятность, а маркер энергоэффективности и исправности кровельного пирога. Их наличие влечет за собой риски: от повреждения кровли и фасада из-за ледяных заторов и протечек до прямой опасности для людей от падения льда. Механическое удаление сосулек не решает корневую проблему, а лишь дает временный и часто разрушительный для кровельного покрытия эффект», — предупредил эксперт.
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.
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But he is also giving the Pentagon a six-month period to phase out Anthropic’s technology as it is one of the few AI companies allowed to operate in classified settings.
The Web streams spec requires promise creation at numerous points, often in hot paths and often invisible to users. Each read() call doesn't just return a promise; internally, the implementation creates additional promises for queue management, pull() coordination, and backpressure signaling.