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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North Sea oil and gas facilities can be re-used for carbon storage
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接下來一年，麥肯齊將在劍橋的南極考察局總部工作，但他過去曾在南極過冬。「冬天來臨時，大多數人離開，你會感到一種難以形容的自由感。」他說。